A set of pipelines and routines for echelle spectrographs

CERES: A Set of Automated Routines for Echelle Spectra

An ultrahot Neptune in the Neptune desert

Evidence that the Hot Jupiter WASP-77 A b Formed Beyond Its Parent Protoplanetary Disk's H2O Ice Line

Carbon monoxide emission lines reveal an inverted atmosphere in the ultra hot Jupiter WASP-33 b consistent with an eastward hot spot

Discovery of a brown dwarf companion to the star HIP 64892

Convective blueshift strengths of 810 F to M solar-type stars

Searching for new solar twins: The Inti survey for the Northern Sky

Monthly Notices of the Royal Astronomical Society

CAFE2: an upgrade to the CAFE high-resolution spectrograph. Commissioning results and new public pipeline

Monthly notices of the Royal Astronomical Society

HiFLEx—A Highly Flexible Package to Reduce Cross-dispersed Echelle Spectra

Publications of the Astronomical Society of the Pacific

Analysis of high-resolution FEROS spectroscopy for a sample of variable B-type stars assembled from TESS photometry,


Neural network-based singing voice synthesis library for research

Sinsy: A Deep Neural Network-Based Singing Voice Synthesis System

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Muskits: an End-to-End Music Processing Toolkit for Singing Voice Synthesis

NNSVS: A Neural Network-Based Singing Voice Synthesis Toolkit


:microscope: BEDOPS: high-performance genomic feature operations

The transcription factor HIF2α partakes in the differentiation block of acute myeloid leukemia

Gene Regulatory Interactions at Lamina-Associated Domains

Cellular and Genomic Features of Muscle Differentiation from Isogenic Fibroblasts and Myoblasts


Framework for fine-tuning pretrained transformers for Named-Entity Recognition (NER) tasks

DaCy: A Unified Framework for Danish NLP

NERDA-Con: Extending NER models for Continual Learning -- Integrating Distinct Tasks and Updating Distribution Shifts

De-Identification of French Unstructured Clinical Notes for Machine Learning Tasks

READ-BioMed@SocialDisNER: Adaptation of an Annotation System to Spanish Tweets

Two Neural Models for Multilingual Grammatical Error Detection

Linköping electronic conference proceedings


:sunny: Open-source view-factor model for diffuse shading and bifacial PV modeling. Documentation:


Conda recipe files for the Fermi Sciencetools software analysis package: Fermitools

A very-high-energy component deep in the γ-ray burst afterglow

Strong constraints on thermal relic dark matter from Fermi-LAT observations of the Galactic Center

Multiwaveband quasi-periodic oscillation in the blazar 3C 454.3

A Comprehensive Power Spectral Density Analysis of Astronomical Time Series. I. The Fermi-LAT Gamma-Ray Light Curves of Selected Blazars

The Astrophysical Journal Supplement Series

Observation of Photons above 300 TeV Associated with a High-energy Neutrino from the Cygnus Region

Diffuse gamma-ray emission toward the massive star-forming region, W40

Galactic diffuse gamma rays meet the PeV frontier

3D template-based Fermi-LAT constraints on the diffuse supernova axion-like particle background

Blazars at the Cosmic Dawn

Assessing the Impact of Hydrogen Absorption on the Characteristics of the Galactic Center Excess


CaDiCaL SAT Solver

The Resolution of Keller's Conjecture

Explaining Wrong Queries Using Small Examples

Clause Size Reduction with all-UIP Learning

Theory and Applications of Satisfiability Testing

CVC4 at the SMT Competition 2018

Tighter Bounds on Directed Ramsey Number R(7)

Proceedings of the 2022 XCSP3 Competition

Schur's theorem in integer lattices

Comparison of SAT-based and ASP-based Algorithms for Inconsistency Measurement

Towards the shortest DRAT proof of the Pigeonhole Principle

No eleventh conditional Ingleton inequality


SeqSero2: Rapid and Improved Salmonella Serotype Determination Using Whole-Genome Sequencing Data

Typing methods based on whole genome sequencing data

Salmonella Serotyping; Comparison of the Traditional Method to a Microarray-Based Method and an in silico Platform Using Whole Genome Sequencing Data

Mobilome-driven partitions of the resistome in Salmonella

Evaluation of Salmonella Serotype Prediction With Multiplex Nanopore Sequencing

Evaluation of whole and core genome multilocus sequence typing allele schemes for Salmonella enterica outbreak detection in a national surveillance network, PulseNet USA

Evaluation of multiplex nanopore sequencing for Salmonella serotype prediction and antimicrobial resistance gene and virulence gene detection

High diversity of Salmonella spp. from children with diarrhea, food, and environmental sources in Kilimanjaro – Tanzania: one health approach


A library for debugging/inspecting machine learning classifiers and explaining their predictions

DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language

Classifying variety of customer's online engagement for churn prediction with mixed-penalty logistic regression

Leveraging contextual embeddings and self-attention neural networks with bi-attention for sentiment analysis

Journal of Intelligent Information Systems

TSInterpret: A unified framework for time series interpretability

Unreasonable Effectiveness of Rule-Based Heuristics in Solving Russian SuperGLUE Tasks


An ns-3 module for simulation of LoRaWAN networks

Performance of LoRaWAN for Handling Telemetry and Alarm Messages in Industrial Applications

Extending the Lora modulation to add further parallel channels and improve the LoRaWAN network performance


Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

AutoML to Date and Beyond: Challenges and Opportunities

Sherpa: Robust Hyperparameter Optimization for Machine Learning

Assessing the Potential of Deep Learning for Emulating Cloud Superparameterization in Climate Models with Real-Geography Boundary Conditions

Zenodo (CERN European Organization for Nuclear Research)

Sparse autoregressive models for scalable generation of sparse images in particle physics

Learning to identify electrons

Learning in the Machine: To Share or Not to Share?

Deep-Learning-Based Kinematic Reconstruction for DUNE

Learning to isolate muons

Massively Parallel Genetic Optimization through Asynchronous Propagation of Populations

Interpretable Joint Event-Particle Reconstruction for Neutrino Physics at NOvA with Sparse CNNs and Transformers


fast and accurate alignment of BS-Seq reads using bwa-mem and a 3-letter genome

Fast and accurate alignment of long bisulfite-seq reads

rahu is a mutant allele of Dnmt3c, encoding a DNA methyltransferase homolog required for meiosis and transposon repression in the mouse male germline

SMYD2 promoter DNA methylation is associated with abdominal aortic aneurysm (AAA) and SMYD2 expression in vascular smooth muscle cells

Applications of genetic-epigenetic tissue mapping for plasma DNA in prenatal testing, transplantation and oncology

Fast and memory-efficient mapping of short bisulfite sequencing reads using a two-letter alphabet

Highly cooperative chimeric super-SOX induces naive pluripotency across species.

Widespread Aberrant Alternative Splicing despite Molecular Remission in Chronic Myeloid Leukaemia Patients

The cytosine methylation landscape of spring barley revealed by a new reduced representation bisulfite sequencing pipeline, WellMeth

Isogenic Human-Induced Pluripotent Stem-Cell-Derived Cardiomyocytes Reveal Activation of Wnt Signaling Pathways Underlying Intrinsic Cardiac Abnormalities in Rett Syndrome

International journal of molecular sciences

Epigenetic and genetic differentiation betweenCoregonusspecies pairs


flame is a federated learning system for edge with flexibility and scalability at the core of its design.

Flame: Simplifying Topology Extension in Federated Learning

Not All Federated Learning Algorithms Are Created Equal: A Performance
  Evaluation Study


Code relative to "Reliable  evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

Adversarial Weight Perturbation Helps Robust Generalization

RobustBench: a standardized adversarial robustness benchmark

Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples

Bag of Tricks for Adversarial Training

Fixing Data Augmentation to Improve Adversarial Robustness

Improving Robustness using Generated Data

Data Augmentation Can Improve Robustness

LAS-AT: Adversarial Training with Learnable Attack Strategy

Learnable Boundary Guided Adversarial Training


Pythonic interface to netCDF4 via h5py


A dplyr backend that partitions a data frame over multiple processes

On Enthusing Students About Big Data and Social Media Visualization and Analysis Using R, RStudio, and RMarkdown

A statistical model for improved membrane protein expression using sequence-derived features

Statistical evaluation of diet-microbe associations


MILC collaboration code for lattice QCD calculations

FK /Fπ from Möbius domain-wall fermions solved on gradient-flowed HISQ ensembles

Scale setting the Möbius domain wall fermion on gradient-flowed HISQ action using the omega baryon mass and the gradient-flow scales t0 and w0

SIMULATeQCD: A simple multi-GPU lattice code for QCD calculations

Lattice QCD Application Development within the US DOE Exascale Computing Project

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

Efficient integration of gradient flow in lattice gauge theory and properties of low-storage commutator-free Lie group methods

Application Experiences on a GPU-Accelerated Arm-based HPC Testbed

Density of states for gravitational waves

Bridging Control-Centric and Data-Centric Optimization

Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization

Scale setting the Möbius Domain Wall Fermion on gradient-flowed HISQ action using the omega baryon mass and the gradient-flow scale w_0

Funny business from the large N_c finite temperature crossover


PlayGround: AI Research into Multi-Agent Learning.

Pommerman: A Multi-Agent Playground

Real-time tree search with pessimistic scenarios

On Hard Exploration for Reinforcement Learning: a Case Study in Pommerman

Accelerating Training in Pommerman with Imitation and Reinforcement Learning


Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.

Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Graph Neural Network for Traffic Forecasting: The Research Progress

ISPRS International Journal of Geo-Information

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis


UniTable: Towards a Unified Table Foundation Model

High-Performance Transformers for Table Structure Recognition Need Early Convolutions


Spatial mapping of cell types by integration of transcriptomics data

Single-cell and spatial transcriptomics enables probabilistic inference of cell type topography

Spatial deconvolution of HER2-positive breast cancer delineates tumor-associated cell type interactions

Advances in mixed cell deconvolution enable quantification of cell types in spatial transcriptomic data

A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial transcriptomics

Spatial omics: Navigating to the golden era of cancer research

Spatial Multimodal Analysis of Transcriptomes and Metabolomes in Tissues

Benchmarking and integration of methods for deconvoluting spatial transcriptomic data

SPROUT: spectral sparsification helps restore the spatial structure at single-cell resolution


Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs (EMNLP 2020)

Modeling Relational Data with Graph Convolutional Networks

Convolutional 2D Knowledge Graph Embeddings

Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs

Representation Learning for Dynamic Graphs: A Survey

TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting

Temporal Knowledge Graph Forecasting with Neural ODE

Graph Hawkes Neural Network for Forecasting on Temporal Knowledge Graphs

Recurrent Event Network for Reasoning over Temporal Knowledge Graphs.

Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs


DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task

HuatuoGPT, towards Taming Language Model to Be a Doctor

AviationGPT: A Large Language Model for the Aviation Domain

Large Language Models for Medicine: A Survey


BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

VL-BERT: Pre-training of Generic Visual-Linguistic Representations

Pre-trained models for natural language processing: A survey

Attention is not Explanation

Attention is not not Explanation

A Multiscale Visualization of Attention in the Transformer Model

KG-BERT: BERT for Knowledge Graph Completion

12-in-1: Multi-Task Vision and Language Representation Learning

Open Sesame: Getting Inside BERT's Linguistic Knowledge

Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders

AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing


A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

Вестник компьютерных и информационных технологий

COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images

3D MRI brain tumor segmentation using autoencoder regularization

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation

Med3D: Transfer Learning for 3D Medical Image Analysis

On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task

Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets

3D Densely Convolutional Networks for Volumetric Segmentation


Finite-amplitude Impulse Response simple climate model

FAIR v1.3: a simple emissions-based impulse response and carbon cycle model

Current fossil fuel infrastructure does not yet commit us to 1.5 °C warming

A modified impulse-response representation of the global near-surface air temperature and atmospheric concentration response to carbon dioxide emissions

The IPCC Sixth Assessment Report WGIII climate assessment of mitigation pathways: from emissions to global temperatures

An integrated approach to quantifying uncertainties in the remaining carbon budget

Supplementary material to "Reduced complexity model intercomparison project phase 1: Protocol, results and initial observations"

OpenSCM Two Layer Model: A Python implementation of the two-layer climate model


Participant selection for workshops and conferences made easy

Hack weeks as a model for data science education and collaboration

Proceedings of the National Academy of Sciences of the United States of America

How to organize a hackathon -- A planning kit

Entrofy Your Cohort: A Data Science Approach to Candidate Selection


Openai style api for open large language models, using LLMs just as chatgpt! Support for LLaMA, LLaMA-2, BLOOM, Falcon, Baichuan, Qwen, Xverse, SqlCoder, CodeLLaMA, ChatGLM, ChatGLM2, ChatGLM3 etc. 开源大模型的统一后端接口

LLaMA: Open and Efficient Foundation Language Models

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

A Survey of Large Language Models


a free python grammar checker ✅

Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing

Adaptive and Personalized Exercise Generation for Online Language Learning

Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks

Classification of Human- and AI-Generated Texts for English, French, German, and Spanish

An Automatic Question Usability Evaluation Toolkit

Ask Language Model to Clean Your Noisy Translation Data


Fast Fourier Transform-accelerated Interpolation-based  t-SNE (FIt-SNE)

Dimensionality reduction for visualizing single-cell data using UMAP

A high-bias, low-variance introduction to Machine Learning for physicists

Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding

Heavy-Tailed Kernels Reveal a Finer Cluster Structure in t-SNE Visualisations

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2019, PT I

The Tumor Suppressor Role of Zinc Finger Protein 671 (ZNF671) in Multiple Tumors Based on Cancer Single-Cell Sequencing

Randomized Near Neighbor Graphs, Giant Components, and Applications in Data Science

Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel

Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques

SG-t-SNE-Π: Swift Neighbor Embedding of Sparse Stochastic Graphs


ESP8266 WiFi for OpenEVSE Version 2.x


A Machine Learning System for Data Enrichment.

Kamino: Constraint-Aware Differentially Private Data Synthesis

Towards Interpretable and Learnable Risk Analysis for Entity Resolution

RTClean: Context-aware Tabular Data Cleaning using Real-time OFDs

Consistent data fusion with Parker

KGLiDS: A Platform for Semantic Abstraction, Linking, and Automation of Data Science


Building Machine Translation Systems for the Next Thousand Languages

Finite-state script normalization and processing utilities: The Nisaba Brahmic library

EACL 2021: THE 16TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: PROCEEDINGS OF THE SYSTEM DEMONSTRATIONS

Extensions to Brahmic script processing within the Nisaba library: new scripts, languages and utilities

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Graphemic Normalization of the Perso-Arabic Script

Beyond Arabic: Software for Perso-Arabic Script Manipulation

Criteria for Useful Automatic Romanization in South Asian Languages


Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.

A NICER View of PSR J0030+0451: Millisecond Pulsar Parameter Estimation

juliet: a versatile modelling tool for transiting and non-transiting exoplanetary systems

Monthly notices of the Royal Astronomical Society

MadDM v.3.0: A comprehensive tool for dark matter studies

HELIOS–RETRIEVAL: An Open-source, Nested Sampling Atmospheric Retrieval Code; Application to the HR 8799 Exoplanets and Inferred Constraints for Planet Formation

Early Release Science of the exoplanet WASP-39b with JWST NIRISS

PSR J0030+0451, GW170817, and the Nuclear Data: Joint Constraints on Equation of State and Bulk Properties of Neutron Stars

DEVELOPING ATMOSPHERIC RETRIEVAL METHODS FOR DIRECT IMAGING SPECTROSCOPY OF GAS GIANTS IN REFLECTED LIGHT. I. METHANE ABUNDANCES AND BASIC CLOUD PROPERTIES

A SURVEY OF THE MOLECULAR ISM PROPERTIES OF NEARBY GALAXIES USING THEHERSCHELFTS

Wind of change: retrieving exoplanet atmospheric winds from high-resolution spectroscopy

A broadband thermal emission spectrum of the ultra-hot Jupiter WASP-18b


FeatherCNN is a high performance inference engine for convolutional neural networks.

Mastering Complex Control in MOBA Games with Deep Reinforcement Learning

A First Look at Deep Learning Apps on Smartphones

FeatherCNN: Fast Inference Computation with TensorGEMM on ARM Architectures

IEEE Transactions on Parallel and Distributed Systems

A First Look at On-device Models in iOS Apps

Towards Effective Depthwise Convolutions on ARMv8 Architecture


PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.

Automated Machine Learning

The Springer series on challenges in machine learning

PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison

Data-driven Advice for Applying Machine Learning to Bioinformatics Problems

Where are we now? A large benchmark study of recent symbolic regression methods

On Explaining Decision Trees

On Tackling Explanation Redundancy in Decision Trees

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence

Automated evolutionary approach for the design of composite machine learning pipelines

Using MaxSAT for Efficient Explanations of Tree Ensembles

THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / THE TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods

Exhaustive Symbolic Regression


PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)

Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search

TIGEr: Text-to-Image Grounding for Image Caption Evaluation

Language Features Matter: Effective Language Representations for Vision-Language Tasks

More Than Just Attention: Improving Cross-Modal Attentions with Contrastive Constraints for Image-Text Matching

Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval


scPred package for cell type prediction from scRNA-seq data

scPred: accurate supervised method for cell-type classification from single-cell RNA-seq data

Computational methods for the integrative analysis of single-cell data

scMAGIC: accurately annotating single cells using two rounds of reference-based classification


Style Transfer from Non-Parallel Text by Cross-Alignment

Unsupervised Text Style Transfer using Language Models as Discriminators

Deep Learning for Text Style Transfer: A Survey

Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer

Reinforced Rewards Framework for Text Style Transfer

Multi-type Disentanglement without Adversarial Training

DGSAN: Discrete Generative Self-Adversarial Network

Effective writing style imitation via combinatorial paraphrasing

Syntax Matters! Syntax-Controlled in Text Style Transfer

Enhance Long Text Understanding via Distilled Gist Detector from Abstractive Summarization


structural analysis of neonatal brain MRI scans

Cortical morphology at birth reflects spatiotemporal patterns of gene expression in the fetal human brain

Normal childhood brain growth and a universal sex and anthropomorphic relationship to cerebrospinal fluid

Functional connectome through the human life span

bioRxiv : the preprint server for biology

Comprehensive volumetric phenotyping of the neonatal brain in Down syndrome

The Forget-Me-Not dHCP study: 7 Tesla high resolution diffusion imaging in the unfixed post-mortem neonatal brain

Surface Agnostic Metrics for Cortical Volume Segmentation and Regression

High resolution and contrast 7 tesla MR brain imaging of the neonate

Surface Generative Modelling of Neurodevelopmental Trajectories


Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling

Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification

Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners

A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models

Domain Aligned CLIP for Few-shot Classification

XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding

Findings of the Association for Computational Linguistics: ACL 2023


[CVPR 2021] CPS: Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

LaserMix for Semi-Supervised LiDAR Semantic Segmentation

A Survey on Semi-Supervised Semantic Segmentation


Linear mixed model for genomic analyses.

The germline genetic component of drug sensitivity in cancer cell lines

Length variation in short tandem repeats affects gene expression in natural populations of Arabidopsis thaliana

LiMMBo: a simple, scalable approach for linear mixed models in high-dimensional genetic association studies

Dissecting Complex Traits Using Omics Data: A Review on the Linear Mixed Models and Their Application in GWAS

Gene-environment interactions using a Bayesian whole genome regression model

Adaptive protein evolution through length variation in short tandem repeats

Expression profiling of cerebrospinal fluid identifies dysregulated antiviral mechanisms in multiple sclerosis


A knowledge graph and a set of tools for drug repurposing

Strategies for Pre-training Graph Neural Networks

Building a knowledge graph to enable precision medicine

SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization

KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response

A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge
  Graph Perspective

Understanding the performance of knowledge graph embeddings in drug discovery

Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing

SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs

Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey


Access and analyze historical weather and climate data with Python.

Explainable Multi-Agent Recommendation System for Energy-Efficient Decision Support in Smart Homes


ALFRED - A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

Modular Networks for Compositional Instruction Following

One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones

Interpretable Sequence Classification via Discrete Optimization

Are We There Yet? Learning to Localize in Embodied Instruction Following

Modularity Improves Out-of-Domain Instruction Following.


OmniXAI: A Library for eXplainable AI

OmniXAI: A Library for Explainable AI

MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation


Python workflow for DP5 and DP4 analysis of organic molecules

NWChem: Past, present, and future

DP4-AI Automated NMR Data Analysis: Straight from Spectrometer to Structure

The DP5 probability, quantification and visualisation of structural uncertainty in single molecules


This repository is intended to host tools and demos for ActivityNet

Weakly Supervised Action Localization by Sparse Temporal Pooling Network

Background Suppression Network for Weakly-supervised Temporal Action Localization

Weakly-supervised Action Localization with Background Modeling

Weakly-Supervised Action Localization by Generative Attention Modeling

Is Someone Speaking? Exploring Long-term Temporal Features for Audio-visual Active Speaker Detection

Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization

CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning

Weakly-supervised Temporal Action Localization by Uncertainty Modeling

Marginalized Average Attentional Network for Weakly-Supervised Learning

Cross-modal Consensus Network for Weakly Supervised Temporal Action Localization


Transfer Learning Library

Contrastive Adaptation Network for Unsupervised Domain Adaptation

Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift

Collaborative Training of Balanced Random Forests for Open Set Domain Adaptation


Python interfaces for observational data surrounding named storm events, born from @jreniel's ADCIRCpy


Open Source Photometric classification https://supernnova.readthedocs.io

SuperNNova: an open-source framework for Bayesian, neural network-based supernova classification

Monthly Notices of the Royal Astronomical Society

Exempla Gratis (E.G.): Code Examples for Free

The Dark Energy Survey supernova program: cosmological biases from supernova photometric classification

The Dark Energy Survey: Cosmology Results With ~1500 New High-redshift Type Ia Supernovae Using The Full 5-year Dataset

The Dark Energy Survey Supernova Program: Cosmological Analysis and Systematic Uncertainties

Recovered supernova Ia rate from simulated LSST images


PeptideProphet, PTMProphet, ProteinProphet, iProphet, Abacus, and FDR filtering

MSstatsTMT: Statistical Detection of Differentially Abundant Proteins in Experiments with Isobaric Labeling and Multiple Mixtures

Quantitative proteomic landscape of metaplastic breast carcinoma pathological subtypes and their relationship to triple-negative tumors

Fast Proteome Identification and Quantification from Data-Dependent Acquisition - Tandem Mass Spectrometry using Free Software Tools

Inner membrane complex proteomics reveals a palmitoylation regulation critical for intraerythrocytic development of malaria parasite

SCASP: A Simple and Robust SDS-Aided Sample Preparation Method for Proteomic Research

Pan-Cancer Analysis Reveals Recurrent BCAR4 Gene Fusions across Solid Tumors


Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple

NANSY++: Unified Voice Synthesis with Neural Analysis and Synthesis

Sporthesia: Augmenting Sports Videos Using Natural Language

TIMIT-TTS: A Text-to-Speech Dataset for Multimodal Synthetic Media Detection

MediaSpeech: Multilanguage ASR Benchmark and Dataset

Intelligent Video Editing: Incorporating Modern Talking Face Generation Algorithms in a Video Editor.

Proceedings of the Twelfth Indian Conference on Computer Vision, Graphics and Image Processing

Movie Genre Classification by Language Augmentation and Shot Sampling

Hearing voices at the National Library -- a speech corpus and acoustic model for the Swedish language

An Analysis of Semantically-Aligned Speech-Text Embeddings

EfficientWord-Net: An Open Source Hotword Detection Engine Based on Few-Shot Learning

Alternative Interfaces for Human-initiated Natural Language Communication and Robot-initiated Haptic Feedback: Towards Better Situational Awareness in Human-Robot Collaboration


A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

Yggdrasil Decision Forests: A Fast and Extensible Decision Forests Library

Generative Trees: Adversarial and Copycat

Generative Forests


Vector Particle-In-Cell (VPIC) Project

Magnetic Energy Release, Plasma Dynamics, and Particle Acceleration in Relativistic Turbulent Magnetic Reconnection

First-principles theory of the rate of magnetic reconnection in magnetospheric and solar plasmas

A semi-implicit, energy- and charge-conserving particle-in-cell algorithm for the relativistic Vlasov-Maxwell equations

The two-fluid dynamics and energetics of the asymmetric magnetic reconnection in laboratory and space plasmas

A drift kinetic model for the expander region of a magnetic mirror

Astrophysical explosions revisited: collisionless coupling of debris to magnetized plasma

The force balance of electrons during kinetic anti-parallel magnetic reconnection

2D Reconstruction of Magnetotail Electron Diffusion Region Measured by MMS

A Drift‐Kinetic Method for Obtaining Gradients in Plasma Properties From Single‐Point Distribution Function Data

Journal of Geophysical Research: Space Physics


Data set of top third party web domains with rich metadata about them

FP-Radar: Longitudinal Measurement and Early Detection of Browser Fingerprinting

Privacy Rarely Considered: Exploring Considerations in the Adoption of Third-Party Services by Websites

Targeted and Troublesome: Tracking and Advertising on Children's Websites


MHKiT-Python provides the marine renewable energy (MRE) community tools for data processing, visualization, quality control, resource assessment, and device performance.


PROGRESS: Parallel, Rapid O(N) and Graph-based Recursive Electronic Structure Solver.

Exascale applications: skin in the game

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

Graph-based Quantum Response Theory and Shadow Born-Oppenheimer Molecular Dynamics

A fast, dense Chebyshev solver for electronic structure on GPUs

Hybrid programming-model strategies for GPU offloading of electronic structure calculation kernels


The windpowerlib is a library to model the output of wind turbines and farms.

A Novel Power Curve Prediction Method for Horizontal-Axis Wind Turbines Using Artificial Neural Networks


HIPIFY: Convert CUDA to Portable C++ Code

FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing

High-speed turbulent flows towards the exascale: STREAmS-2 porting and performance

Supporting CUDA for an extended RISC-V GPU architecture

Lattice QCD GPU Inverters on ROCm Platform

COX: CUDA on X86 by Exposing Warp-Level Functions to CPUs

CuPBoP: CUDA for Parallelized and Broad-range Processors

GPU-accelerated connectome discovery at scale


Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

MobileNetV2: Inverted Residuals and Linear Bottlenecks

A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19

IEEE Transactions on Artificial Intelligence

Real-time social distance measurement and face mask detection in public transportation systems during the COVID-19 pandemic and post-pandemic Era: Theoretical approach and case study in Italy Transportation Research Interdisciplinary Perspectives

Transportation research interdisciplinary perspectives

Facemask Wearing Alert System Based on Simple Architecture With Low-Computing Devices

A Comparative Analysis of Variant Deep Learning Models for COVID-19 Protective Face Mask Detection

Türk bilgisayar ve matematik eğitimi dergisi

State of the Art of Quality Assessment of Facial Images

A Convolutional Neural Network-enabled IoT framework to verify COVID-19 hygiene conditions and authorize access to facilities


An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

KAN: Kolmogorov-Arnold Networks

Kolmogorov-Arnold Networks are Radial Basis Function Networks

Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving forward and inverse problems based on Kolmogorov Arnold Networks

BSRBF-KAN: A combination of B-splines and Radial Basis Functions in
  Kolmogorov-Arnold Networks

KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning

A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data

KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamical Systems and Hidden Physics

DKL-KAN: Scalable Deep Kernel Learning using Kolmogorov-Arnold Networks

Adaptive Training of Grid-Dependent Physics-Informed Kolmogorov-Arnold Networks

FC-KAN: Function Combinations in Kolmogorov-Arnold Networks


Citation Classification using hybrid neural network model for Wikipedia References

Wikipedia Citations: A comprehensive dataset of citations with identifiers extracted from English Wikipedia


Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection

Defect Detection Methods for Industrial Products Using Deep Learning Techniques: A Review

Advances in deep learning methods for pavement surface crack detection and identification with visible light visual images

Developing a Free and Open-Source Semi-Automated Building Exterior Crack Inspection Software for Construction and Facility Managers

Image2PCI -- A Multitask Learning Framework for Estimating Pavement Condition Indices Directly from Images

DepthCrackNet: A Deep Learning Model for Automatic Pavement Crack Detection


Allegro is an open-source code for building highly scalable and accurate equivariant deep learning interatomic potentials

Learning local equivariant representations for large-scale atomistic dynamics

Scaling the Leading Accuracy of Deep Equivariant Models to Biomolecular Simulations of Realistic Size

DPA-2: Towards a universal large atomic model for molecular and material simulation

Spin-Dependent Graph Neural Network Potential for Magnetic Materials

Physics-Inspired Neural Graph ODE for Long-term Dynamical Simulation

Beyond MD17: the reactive xxMD dataset

Transferable Water Potentials Using Equivariant Neural Networks


Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.

An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation

An empirical study of CTC based models for OCR of Indian languages

Modernizing Open-Set Speech Language Identification


This is a tensorflow-based rotation detection benchmark, also called AlphaRotate.

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss

Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence

Dense Label Encoding for Boundary Discontinuity Free Rotation Detection

SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

MMRotate: A Rotated Object Detection Benchmark using PyTorch

Proceedings of the 30th ACM International Conference on Multimedia

On the Arbitrary-Oriented Object Detection: Classification based Approaches Revisited

The KFIoU Loss for Rotated Object Detection

Arbitrary-Oriented Ship Detection Through Center-Head Point Extraction

Detecting Rotated Objects as Gaussian Distributions and Its 3-D Generalization


Extrapolating knowledge graphs from unstructured text using GPT-3 ♂

AGI for Agriculture

Investigating antiquities trafficking with generative pre-trained transformer (GPT)-3 enabled knowledge graphs: A case study

(Vector) Space is Not the Final Frontier: Product Search as Program Synthesis

LOKE: Linked Open Knowledge Extraction for Automated Knowledge Graph Construction


The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Large-scale Natural Environments


GeMTC R package: model generation for network meta-analysis

Automated generation of node‐splitting models for assessment of inconsistency in network meta‐analysis

A Network Meta-Analysis of Clinical Management Strategies for Treatment-Resistant Hypertension: Making Optimal Use of the Evidence

An empirical comparison of Bayesian modelling strategies for missing binary outcome data in network meta-analysis

Impact of immunosuppression on incidence of post-transplant diabetes mellitus in solid organ transplant recipients: Systematic review and meta-analysis

Comparative Efficacy of Pharmacological and Nonpharmacological Interventions for Acne Vulgaris: A Network Meta-Analysis

Comparative efficacy of pharmacological and nonpharmacological treatments for chronic idiopathic constipation in China: a Bayesian network meta-analysis

BMC complementary and alternative medicine


Public release of the TransCoder research project https://arxiv.org/pdf/2006.03511.pdf

Unsupervised Translation of Programming Languages

Execution-based Code Generation using Deep Reinforcement Learning

Syntax and Domain Aware Model for Unsupervised Program Translation

On ML-Based Program Translation: Perils and Promises

A Novel Approach for Automatic Program Repair using Round-Trip Translation with Large Language Models


Automated Water Supply Model (AWSM) was developed at the USDA Agricultural Research Service. AWSM was designed to streamline the workflow used to forecast the water supply of multiple water basins.


software tools for haplotype assembly from sequence data

Genomic signatures of recombination in a natural population of the bdelloid rotifer Adineta vaga

Ultra-low input single tube linked-read library method enables short-read NGS systems to generate highly accurate and economical long-range sequencing information for de novo genome assembly and haplotype phasing

Long-molecule scars of backup DNA repair in BRCA1- and BRCA2-deficient cancers

Efficient long single molecule sequencing for cost effective and accurate sequencing, haplotyping, and de novo assembly

HapCUT2: A Method for Phasing Genomes Using Experimental Sequence Data.

Methods in molecular biology (Clifton, N.J.)


Package for evaluating word embeddings

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

How to evaluate word embeddings? On importance of data efficiency and simple supervised tasks

A comparative evaluation and analysis of three generations of Distributional Semantic Models

Learning Numeral Embeddings

Word Similarity Datasets for Thai: Construction and Evaluation

Regional Differences in Information Privacy Concerns After the Facebook-Cambridge Analytica Data Scandal

Computer Supported Cooperative Work (CSCW)

Can language models learn analogical reasoning? Investigating training objectives and comparisons to human performance

Improving the state-of-the-art in Thai semantic similarity using distributional semantics and ontological information

Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical Study

Word Embedding Binarization with Semantic Information Preservation

International Conference on Computational Linguistics


Repository containing experimentation platform on how to train, infer on wav2vec2 models.

CLSRIL-23: Cross Lingual Speech Representations for Indic Languages

Code Switched and Code Mixed Speech Recognition for Indic languages


:city_sunrise: The Urban Weather Generator (uwg) is a Python application for modeling the urban heat island effect.


hanabi_learning_environment is a research platform for Hanabi experiments.

A survey and critique of multiagent deep reinforcement learning

Is Vanilla Policy Gradient Overlooked? Analyzing Deep Reinforcement Learning for Hanabi

Reinforcement Learning on Human Decision Models for Uniquely Collaborative AI Teammates


A Python Command Line Interface for classifying fire events from the Collection 6 MODIS Burned Area Product.

FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001-2019)

Country-level fire perimeter datasets (2001–2021)


A GPU-accelerated TSDF and ESDF library for robots equipped with RGB-D cameras.

Obstacle avoidance using Raycasting and Riemannian Motion Policies at kHz rates for MAVs

cuRobo: Parallelized Collision-Free Minimum-Jerk Robot Motion Generation

Incremental Multimodal Surface Mapping via Self-Organizing Gaussian Mixture Models

nvblox: GPU-Accelerated Incremental Signed Distance Field Mapping

Online and Certifiably Correct Visual Odometry and Mapping


Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.

SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection

Counterfactual Explanations for Multivariate Time Series

2021 International Conference on Applied Artificial Intelligence (ICAPAI)

Multi-Agent Reinforcement Learning for Visibility-based Persistent Monitoring

OneStopTuner: An End to End Architecture for JVM Tuning of Spark Applications

Improvements for mlrose applied to the Traveling Salesperson Problem


Easy whole-brain modeling for computational neuroscientists

Biophysically grounded mean-field models of neural populations under electrical stimulation

neurolib: A Simulation Framework for Whole-Brain Neural Mass Modeling

Spatiotemporal patterns of adaptation-induced slow oscillations in a whole-brain model of slow-wave sleep

Neural Integral Equations


Run any open-source LLMs, such as Llama 3.1, Gemma, as OpenAI compatible API endpoint in the cloud.

GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

SqueezeLLM: Dense-and-Sparse Quantization

Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems

Model Compression and Efficient Inference for Large Language Models: A
  Survey

Block Transformer: Global-to-Local Language Modeling for Fast Inference

Clinical information extraction for Low-resource languages with Few-shot
  learning using Pre-trained language models and Prompting

Position: Leverage Foundational Models for Black-Box Optimization


Tutorials, examples, discussions, research proposals, and other resources related to fuzzing

An Empirical Study of OSS-Fuzz Bugs

RULF: Rust Library Fuzzing via API Dependency Graph Traversal

Evaluating Synthetic Bugs

IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks

FuzzingDriver: the Missing Dictionary to Increase Code Coverage in Fuzzers

Hopper: Interpretative Fuzzing for Libraries

Prompt Fuzzing for Fuzz Driver Generation

Homo in Machina: Improving Fuzz Testing Coverage via Compartment Analysis


Advanced crypto library for the Go language

Atom: Horizontally Scaling Strong Anonymity

Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets

State machine replication scalability made simple

A Voting-Based Blockchain Interoperability Oracle

PriFi: Low-Latency Anonymity for Organizational Networks

Anonymity Preserving Byzantine Vector Consensus

Reducing Metadata Leakage from Encrypted Files and Communication with PURBs

A Simple and Efficient Asynchronous Randomized Binary Byzantine Consensus Algorithm

Experimental Evaluation of Asynchronous Binary Byzantine Consensus Algorithms with t    lt; n/3 and O(n^2) Messages and O(1) Round Expected Termination

chainBoost: A Secure Performance Booster for Blockchain-based Resource
  Markets


Functionalities such as a layers for building neural networks in Jax.

2-bit Conformer quantization for automatic speech recognition

USM-Lite: Quantization and Sparsity Aware Fine-Tuning for Speech Recognition with Universal Speech Models

Fine-Tuning Large Language Models with User-Level Differential Privacy


Tutorials and programming exercises for learning Q# and quantum computing

SIGCSE - Teaching Quantum Computing through a Practical Software-driven Approach: Experience Report

Technical Symposium on Computer Science Education

Q# as a Quantum Algorithmic Language

Developing Programming Assignments for Teaching Quantum Computing and Quantum Programming

SIGCSE - The Quantum Katas: Learning Quantum Computing using Programming Exercises


[CVPR '21] Official repository for Few-shot Image Generation via Cross-domain Correspondence

Few-shot Image Generation with Mixup-based Distance Learning

Smoothing the Generative Latent Space with Mixup-based Distance Learning


Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.

Dense Contrastive Learning for Self-Supervised Visual Pre-Training

BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations

MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation


AI Super - Resolution

Enhanced Deep Residual Networks for Single Image Super-Resolution

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

Accelerating the Super-Resolution Convolutional Neural Network

Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks


Automagically remove trends from time-series data

Wotan: Comprehensive time-series de-trending in Python

Original Research by Young Twinkle Students (ORBYTS): ephemeris refinement of transiting exoplanets

Searching for Small Circumbinary Planets. I. The STANLEY Automated Algorithm and No New Planets in Existing Systems

HD 207897 b: A dense sub-Neptune transiting a nearby and bright K-type star

Transit least-squares survey

Optical and near-infrared stellar activity characterization of the early M dwarf Gl 205 with SOPHIE and SPIRou

Identify Light-curve Signals with Deep Learning Based Object Detection Algorithm. I. Transit Detection

Large exomoons unlikely around Kepler-1625 b and Kepler-1708 b

Analysis of eclipsing binaries in multiple stellar systems: the case of V1200 Centauri

pterodactyls: A Tool to Uniformly Search and Vet for Young Transiting Planets in TESS Primary Mission Photometry


Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

Deep Kernel Learning

A Simple Baseline for Bayesian Uncertainty in Deep Learning

Conformalized Quantile Regression

Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness

Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning

Uncertainty Sets for Image Classifiers using Conformal Prediction

On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty

Masksembles for Uncertainty Estimation

CARD: Classification and Regression Diffusion Models


Genetic diversity, mobilisation and spread of the yersiniabactin-encoding mobile element ICEKp in Klebsiella pneumoniae populations

Genome-scale rates of evolutionary change in bacteria

Distinct evolutionary dynamics of horizontal gene transfer in drug resistant and virulent clones of Klebsiella pneumoniae

Frequent transmission of the Mycobacterium tuberculosis Beijing lineage and positive selection for the EsxW Beijing variant in Vietnam

In silico serotyping of E. coli from short read data identifies limited novel O-loci but extensive diversity of O:H serotype combinations within and between pathogenic lineages

Genomic Epidemiology of Global Carbapenemase-Producing Enterobacter spp., 2008-2014

Convergence of virulence and MDR in a single plasmid vector in MDR Klebsiella pneumoniae ST15

The Journal of antimicrobial chemotherapy

Evolution of carbapenem resistance in Acinetobacter baumannii during a prolonged infection

Genomic dissection of Klebsiella pneumoniae infections in hospital patients reveals insights into an opportunistic pathogen

Laboratory and molecular surveillance of paediatric typhoidal Salmonella in Nepal: Antimicrobial resistance and implications for vaccine policy


Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

Rethinking the Value of Network Pruning

Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training

Sparse Training via Boosting Pruning Plasticity with Neuroregeneration

Rethinking the Pruning Criteria for Convolutional Neural Network

Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot

Automatic Sparse Connectivity Learning for Neural Networks

EDropout: Energy-Based Dropout and Pruning of Deep Neural Networks

IEEE transactions on neural networks and learning systems

Structural Watermarking to Deep Neural Networks via Network Channel Pruning

Trainability Preserving Neural Pruning

Paying more attention to snapshots of Iterative Pruning: Improving Model Compression via Ensemble Distillation


Estimation and worldwide monitoring of the effective reproductive number of SARS-CoV-2

Evolution and Epidemic Spread of SARS-CoV-2 in Colombia: A Year into the Pandemic

Real-Time Estimation of COVID-19 Infections: Deconvolution and Sensor Fusion

Tracking disease outbreaks from sparse data with Bayesian inference


SNV expectation maximisation based mutation calling algorithm aimed at detecting somatic mutations in paired (tumour/normal) cancer samples. Supports both bam and cram format via htslib

Prediction of acute myeloid leukaemia risk in healthy individuals

Timing the Landmark Events in the Evolution of Clear Cell Renal Cell Cancer: TRACERx Renal

Tobacco Exposure and Somatic Mutations in Normal Human Bronchial Epithelium

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

Somatic mutations reveal asymmetric cellular dynamics in the early human embryo

Clonal dynamics of haematopoiesis across the human lifespan

Whole-genome sequencing of triple-negative breast cancers in a population-based clinical study

Life histories of myeloproliferative neoplasms inferred from phylogenies

Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer

Single cell derived mRNA signals across human kidney tumors


SolTrace


iCount, protein-RNA interaction analytics

Cross-Regulation between TDP-43 and Paraspeckles Promotes Pluripotency-Differentiation Transition

G-tract RNA removes Polycomb repressive complex 2 from genes

FICC-Seq: a method for enzyme-specified profiling of methyl-5-uridine in cellular RNA

SRSF3 and SRSF7 modulate 3′UTR length through suppression or activation of proximal polyadenylation sites and regulation of CFIm levels

CDK11 is required for transcription of replication-dependent histone genes

Charting DENR-dependent translation reinitiation uncovers predictive uORF features and links to circadian timekeeping via Clock

ORC1 binds to cis-transcribed RNAs for efficient activation of replication origins

Loss of TDP-43 causes ectopic endothelial sprouting and migration defects through increased fibronectin, vcam 1 and integrin α4/β1

Frontiers in cell and developmental biology

clipplotr-a comparative visualization and analysis tool for CLIP data

Interrogation of RNA-protein interaction dynamics in bacterial growth


High Quality Monocular Depth Estimation via Transfer Learning

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey

Task-Aware Monocular Depth Estimation for 3D Object Detection

Natural Posterior Network: Deep Bayesian Uncertainty for Exponential Family Distributions

Densely Deformable Efficient Salient Object Detection Network

Potential Obstacle Detection Using RGB to Depth Image Encoder–Decoder Network: Application to Unmanned Aerial Vehicles

Adaptable 2D to 3D Stereo Vision Image Conversion Based on a Deep Convolutional Neural Network and Fast Inpaint Algorithm


Sentinel-2 for Agriculture (Sen2Agri) is a software system processing high resolution satellite images for agricultural purposes funded by ESA (European Space Agency). Please register on the Sen2Agri webpage for Sen2Agri system updates and information.


Transcription, forced alignment, and audio indexing with OpenAI's Whisper

Large Language Models are Efficient Learners of Noise-Robust Speech Recognition


TextRank implementation for Python 3.

Variations of the Similarity Function of TextRank for Automated Summarization

Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization

Self-Supervised and Controlled Multi-Document Opinion Summarization

SemRe-Rank

EmailSum: Abstractive Email Thread Summarization

Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization

Empirical Methods in Natural Language Processing

Unsupervised Aspect-Based Multi-Document Abstractive Summarization

Proceedings of the 2nd Workshop on New Frontiers in Summarization

Dataset for Automatic Summarization of Russian News

Communications in computer and information science

Automatic Generation of Headlines for Online Math Questions

Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization


Another Gtf/Gff Analysis Toolkit

A chromosome-scale epigenetic map of the Hydra genome reveals conserved regulators of cell state.

A plant-like mechanism coupling m6A reading to polyadenylation safeguards transcriptome integrity and developmental gene partitioning in Toxoplasma

The Tetragnatha kauaiensis Genome Sheds Light on the Origins of Genomic Novelty in Spiders

Application of an optimized annotation pipeline to the Cryptococcus deuterogattii genome reveals dynamic primary metabolic gene clusters and genomic impact of RNAi loss

Chromosome-scale assembly of the wild wheat relative Aegilops umbellulata

Homozygosity at its Limit: Inbreeding Depression in Wild Arabidopsis arenosa Populations

Barcoded reciprocal hemizygosity analysis via sequencing illuminates the complex genetic basis of yeast thermotolerance

Global Analysis of the Genetic Variations in miRNA-Targeted Sites and Their Correlations With Agronomic Traits in Rapeseed

A first draft genome of holm oak (Quercus ilex subsp. ballota), the most representative species of the Mediterranean forest and the Spanish agrosylvopastoral ecosystem “dehesa”

First Report of Chromosome-Level Genome Assembly for Flathead Grey Mullet, Mugil cephalus (Linnaeus, 1758)


An R package containing the functions for the Open Bodem Index (OBI)

An Open Soil Health Assessment Framework Facilitating Sustainable Soil Management


Python toolkit for GEOS-Chem.  Contains basic plotting scripts, plus the suite of GEOS-Chem benchmarking utilities.


R interface to the fishbase.org database

Susceptibility of European freshwater fish to climate change: species profiling based on life-history and environmental characteristics

Signatures of the collapse and incipient recovery of an overexploited marine ecosystem


Python library for direct access to ICOS time series data.


Flexible Bayesian Optimization in R

Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges

YAHPO Gym -- An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization

Mutation is all you need


New LandBOSSE Model (Developed in 2018-2019)


Offshore Renewable Balance-of-system Installation Tool (ORBIT)


Library for Model Based RL

Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models

MBRL-Lib: A Modular Library for Model-based Reinforcement Learning

Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning

Simplified Temporal Consistency Reinforcement Learning

Model-Advantage and Value-Aware Models for Model-Based Reinforcement Learning: Bridging the Gap in Theory and Practice


On the Variance of the Adaptive Learning Rate and Beyond

SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization

Meeting of the Association for Computational Linguistics

Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding

Adversarial Training for Large Neural Language Models

Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach

An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining

Stance Detection Benchmark: How Robust Is Your Stance Detection?

The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding

Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization


Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app

The Rise and Potential of Large Language Model Based Agents: A Survey

ChatDev: Communicative Agents for Software Development

AgentTuning: Enabling Generalized Agent Abilities for LLMs

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

MetaAgents: Simulating Interactions of Human Behaviors for LLM-based Task-oriented Coordination via Collaborative Generative Agents

Identifying the Risks of LM Agents with an LM-Emulated Sandbox

Foundational Challenges in Assuring Alignment and Safety of Large
  Language Models

LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent

Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

Experiential Co-Learning of Software-Developing Agents


CVPR 2019

Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss

Neural Voice Puppetry: Audio-driven Facial Reenactment

Stochastic Talking Face Generation Using Latent Distribution Matching


Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

On the Opportunities and Risks of Foundation Models

Wav2CLIP: Learning Robust Audio Representations From CLIP

CLIPstyler: Image Style Transfer with a Single Text Condition

Diffusion-based Image Translation using Disentangled Style and Content Representation

FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization

Visualize Before You Write: Imagination-Guided Open-Ended Text Generation

ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation

CLIPAG: Towards Generator-Free Text-to-Image Generation

PromptCharm: Text-to-Image Generation through Multi-modal Prompting and Refinement

Proceedings of the CHI Conference on Human Factors in Computing Systems

Paint by Inpaint: Learning to Add Image Objects by Removing Them First


Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)

Proceedings of the Eighteenth Conference on Computational Natural Language Learning: Shared Task

The Association for Computational Linguistics

GECToR -- Grammatical Error Correction: Tag, Not Rewrite

LM-Critic: Language Models for Unsupervised Grammatical Error Correction

Text Simplification by Tagging

Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error Correction

Zero-shot Commonsense Question Answering with Cloze Translation and Consistency Optimization

Frustratingly Easy System Combination for Grammatical Error Correction

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

BERT Enhanced Neural Machine Translation and Sequence Tagging Model for Chinese Grammatical Error Diagnosis

TemplateGEC: Improving Grammatical Error Correction with Detection Template

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Type-Driven Multi-Turn Corrections for Grammatical Error Correction


TIMES-Ireland Model (TIM)

TIM: Modelling pathways to meet Ireland’s long-term energy system challenges with the TIMES-Ireland Model (v1.0)


:rocket: A sequencing simulator

Simulating Illumina metagenomic data with InSilicoSeq

Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences

Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data


Python software used in the International Land Model Benchmarking (ILAMB) project

Beyond ecosystem modeling: A roadmap to community cyberinfrastructure for ecological data‐model integration

Modeling Global Carbon Costs of Plant Nitrogen and Phosphorus Acquisition

Journal of advances in modeling earth systems

Description and Evaluation of the JULES-ES setup for ISIMIP2b

Supporting hierarchical soil biogeochemical modeling: Version 2 of the Biogeochemical Transport and Reaction model (BeTR-v2)


Code for "High-Precision Model-Agnostic Explanations" paper

Local Rule-Based Explanations of Black Box Decision Systems

Explainable AI Methods - A Brief Overview

Towards Faithful Model Explanation in NLP: A Survey

Exploring the Chemical Space of Urease Inhibitors to Extract Meaningful Trends and Drivers of Activity

Journal of chemical information and modeling

An Investigation of Interpretability Techniques for Deep Learning in Predictive Process Analytics

Interpretable Regional Descriptors: Hyperbox-Based Local Explanations

A Sea of Words: An In-Depth Analysis of Anchors for Text Data

The Right Tool for the Job: Open-Source Auditing Tools in Machine Learning

Faithful and Robust Local Interpretability for Textual Predictions

ExMo: Explainable AI Model using Inverse Frequency Decision Rules


Types, type checking, and contracts for Ruby

Just-in-Time Static Type Checking for Dynamic Languages

Refinement Types for Ruby

SimTyper: sound type inference for Ruby using type equality prediction

Proceedings of the ACM on Programming Languages

Type-Level Computations for Ruby Libraries

RbSyn: Type- and Effect-Guided Program Synthesis

Absynthe: Abstract Interpretation-Guided Synthesis


This repository contains implementations of photovoltaic models to calculate electricity generation from a pv installation based on given solar radiation. Furthermore it contains all necessary pre-calculations.

The eGo grid model: An open source approach towards a model of German high and extra-high voltage power grids

SCIGRID INTERNATIONAL CONFERENCE ON POWER GRID MODELLING


[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.

Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

TorchSparse: Efficient Point Cloud Inference Engine

Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution

IEEE transactions on pattern analysis and machine intelligence

TorchSparse++: Efficient Point Cloud Engine

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs

Optimizing LiDAR Placements for Robust Driving Perception in Adverse
  Conditions

CenterAtt: Fast 2-stage Center Attention Network

Calib3D: Calibrating Model Preferences for Reliable 3D Scene
  Understanding


A differentiable bridge between phase space and Fock space

A Quadratic Speedup in the Optimization of Noisy Quantum Optical Circuits

Seeding Gaussian boson samplers with single photons for enhanced state generation

A Quantum Optical Recurrent Neural Network for Online Processing of Quantum Times Series


A data augmentations library for audio, image, text, and video.

AugLy: Data Augmentations for Robustness

Analysing the Robustness of Dual Encoders for Dense Retrieval Against Misspellings

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Contrastive Learning with Large Memory Bank and Negative Embedding Subtraction for Accurate Copy Detection

Robust Deepfake On Unrestricted Media: Generation And Detection

The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image

FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection

3rd Place: A Global and Local Dual Retrieval Solution to Facebook AI Image Similarity Challenge

3rd Place Solution to Meta AI Video Similarity Challenge

Increasing Data Diversity with Iterative Sampling to Improve Performance

DALib: A Curated Repository of Libraries for Data Augmentation in Computer Vision


A generalizable application framework for segmentation, regression, and classification using PyTorch

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging

Classification of Infection and Ischemia in Diabetic Foot Ulcers Using VGG Architectures

An overview of open source Deep Learning-based libraries for Neuroscience


Open source tools for Estonian natural language processing

EstNLTK - NLP Toolkit for Estonian

EstNLTK 1.6: Remastered Estonian NLP Pipeline

PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020)

Evaluating Language Tools for Fifteen EU-official Under-resourced Languages

Lexicon-Enhanced Neural Lemmatization for Estonian

HUMAN LANGUAGE TECHNOLOGIES - THE BALTIC PERSPECTIVE (HLT 2020)


Mobile vision models and code

FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search

FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions

ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation


ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems"

NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey


SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition

Text Recognition in the Wild: A Survey

Enhancing Indic Handwritten Text Recognition Using Global Semantic Information


This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.

Datamodels: Predicting Predictions from Training Data

Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation

A Unified Framework for Task-Driven Data Quality Management

Sample based Explanations via Generalized Representers


Bioinformatics data analysis and visualization toolkit

High-throughput and high-efficiency sample preparation for single-cell proteomics using a nested nanowell chip

When explainable AI meets IoT applications for supervised learning

The use of novel electronic nose technology to locate missing persons for criminal investigations

Murine Bone Marrow Erythroid Cells Have Two Branches of Differentiation Defined by the Presence of CD45 and a Different Immune Transcriptome Than Fetal Liver Erythroid Cells

International journal of molecular sciences

Immunoregulatory properties of erythroid nucleated cells induced from CD34+ progenitors from bone marrow

Zenodo (CERN European Organization for Nuclear Research)

Knockouts of TNFRSF1A and TNFRSF1B Genes in K562 Cell Line Lead to Diverse Long-Lasting Responses to TNF-α


DeepLab-ResNet rebuilt in TensorFlow

Incremental Learning Techniques for Semantic Segmentation

Towards Image Understanding from Deep Compression without Decoding

Knowledge Distillation for Incremental Learning in Semantic Segmentation

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation

Panoramic Robust PCA for Foreground-Background Separation on Noisy, Free-Motion Camera Video

GeneSIS-RT: Generating Synthetic Images for training Secondary Real-world Tasks

Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training

Multi-Scale, Class-Generic, Privacy-Preserving Video


Python version of the SED fitter from Robitaille et al., 2007, ApJS 169 328

PROTOSTARS AT LOW EXTINCTION IN ORION A

Chandra Observations of the Field Containing HESS J1616–508

Massive Young Stellar Objects and Outflow in the Infrared Dark Cloud G79.3+0.3


Population Gene Introgression and High Genome Plasticity for the Zoonotic Pathogen Streptococcus agalactiae

ProphET, prophage estimation tool: A stand-alone prophage sequence prediction tool with self-updating reference database

ProphET, Prophage Estimation Tool: a standalone prophage sequence prediction tool with self-updating reference database


Computer algebra package for quantum mechanics and photonic quantum networks

Efficient optimization of state preparation in quantum networks using quantum trajectories

Coherent LQG Control, Free-Carrier Oscillations, Optical Ising Machines and Pulsed OPO Dynamics


(DEPRECATED) epic: diffuse domain ChIP-Seq caller based on SICER

N-6-methyladenine DNA Modification in Glioblastoma

The N-Terminal Domain of cGAS Determines Preferential Association with Centromeric DNA and Innate Immune Activation in the Nucleus

CIPHER: a flexible and extensive workflow platform for integrative next-generation sequencing data analysis and genomic regulatory element prediction

DNA sequence-dependent formation of heterochromatin nanodomains


tools for working with Bisulfite Sequencing data while preserving reads intrinsic dependencies

Tracing the Origin of Cell-Free DNA Molecules through Tissue-Specific Epigenetic Signatures

Comparative parallel multi-omics analysis during the induction of pluripotent and trophectoderm states

Circulating cell-free methylated DNA reveals tissue-specific, cellular damage from radiation treatment

Multi-cell type deconvolution using a probabilistic model for single-molecule DNA methylation haplotypes

Whole-Genome DNA Methylation Profiling of Intrahepatic Cholangiocarcinoma Reveals Prognostic Subtypes with Distinct Biological Drivers

Search for differentially methylated regions in ancient and modern genomes

Vavilovskii zhurnal genetiki i selektsii


R package for the analysis of massive SNP arrays.

Efficient toolkit implementing best practices for principal component analysis of population genetic data

Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations

Using the UK Biobank as a global reference of worldwide populations: application to measuring ancestry diversity from GWAS summary statistics

Optimal Linkage Disequilibrium Splitting


Evaluation code for various unsupervised automated metrics for Natural Language Generation.

UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation

Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language Generation

Knowledge-Grounded Dialogue Generation with Pre-trained Language Models

Towards Emotional Support Dialog Systems

Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation

TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts

Low-Resource Knowledge-Grounded Dialogue Generation

CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation

Contrastive Learning with Adversarial Perturbations for Conditional Text Generation

GraDA: Graph Generative Data Augmentation for Commonsense Reasoning

Proceedings of the 2nd Workshop on Deep Learning on Graphs for Natural Language Processing (DLG4NLP 2022)


Parsnp was designed to align the core genome of hundreds to thousands of bacterial genomes within a few minutes to few hours. Input can be both draft assemblies and finished genomes, and output includes variant (SNP) calls, core genome phylogeny and multi-alignments. Parsnp leverages contextual information provided by multi-alignments surrounding SNP sites for filtration/cleaning, in addition to existing tools for recombination detection/filtration and phylogenetic reconstruction.

The Harvest suite for rapid core-genome alignment and visualization of thousands of intraspecific microbial genomes

Molecular Epidemiology and Colistin Resistant Mechanism of mcr-Positive and mcr-Negative Clinical Isolated Escherichia coli

Multidrug Resistant Uropathogenic Escherichia coli ST405 With a Novel, Composite IS26 Transposon in a Unique Chromosomal Location

Genomic assessment in Lactobacillus plantarum links the butyrogenic pathway with glutamine metabolism

Clonal spread of Escherichia coli O101:H9-ST10 and O101:H9-ST167 strains carrying fosA3 and blaCTX-M-14 among diarrheal calves in a Chinese farm, with Australian Chroicocephalus as the possible origin of E. coli O101:H9-ST10

Global Phylogeny and F Virulence Plasmid Carriage in Pandemic Escherichia coli ST1193

Horizontal Plasmid Transfer among Klebsiella pneumoniae Isolates Is the Key Factor for Dissemination of Extended-Spectrum β-Lactamases among Children in Tanzania

Infection of Cronobacter sakazakii ST1 Producing SHV-12 in a Premature Infant Born from Triplet Pregnancy

Genomic Characterization of ESBL/AmpC-Producing Escherichia coli in Stray Dogs Sheltered in Yangzhou, China

Complete Genome Sequencing of Leptospira interrogans Isolates from Malaysia Reveals Massive Genome Rearrangement but High Conservation of Virulence-Associated Genes


An open-source orbit-computation package for Solar System objects.

REALISTIC DETECTABILITY OF CLOSE INTERSTELLAR COMETS

NEOMOD: A New Orbital Distribution Model for Near-Earth Objects

Asteroid Photometry from the Transiting Exoplanet Survey Satellite: A Pilot Study

The Astrophysical Journal Supplement Series

Monitoring near-Earth-object discoveries for imminent impactors

Masses, bulk densities, and macroporosities of asteroids (15) Eunomia, (29) Amphitrite, (52) Europa, and (445) Edna based on Gaia astrometry


PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.

CytoMAP: A Spatial Analysis Toolbox Reveals Features of Myeloid Cell Organization in Lymphoid Tissues

Groundwater fauna in an urban area – natural or affected?

Leveraging data-driven self-consistency for high-fidelity gene expression recovery

Patient health records and whole viral genomes from an early SARS-CoV-2 outbreak in a Quebec hospital reveal features associated with favorable outcomes

EVNet: An Explainable Deep Network for Dimension Reduction


Automatically exported from code.google.com/p/byte-unixbench

Occlum: Secure and Efficient Multitasking Inside a Single Enclave of Intel SGX

TWENTY-FIFTH INTERNATIONAL CONFERENCE ON ARCHITECTURAL SUPPORT FOR PROGRAMMING LANGUAGES AND OPERATING SYSTEMS (ASPLOS XXV)

DeFog: Fog Computing Benchmarks

RAPPER: Ransomware Prevention via Performance Counters

Benchmarking Crimes: An Emerging Threat in Systems Security

Hardening Hypervisors against Vulnerabilities in Instruction Emulators

PROCEEDINGS OF THE 11TH EUROPEAN WORKSHOP ON SYSTEMS SECURITY (EUROSEC 2018)


Descartes supports developers to improve their test suites by reporting weak spots in covered code

A comprehensive study of pseudo-tested methods

Descartes: A PITest Engine to Detect Pseudo-Tested Methods: Tool Demonstration

PROCEEDINGS OF THE 2018 33RD IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMTED SOFTWARE ENGINEERING (ASE' 18)

Production Monitoring to Improve Test Suites

Extreme mutation testing in practice: An industrial case study

International Conference/Workshop on Automation of Software Test


Coupled snowpack and ice surface energy and mass balance model in Python

COSIPY v1.2 – An open-source coupled snowpack and ice surface energy and mass balance model

Surface energy fluxes on Chilean glaciers: measurements and models

The distribution and evolution of supraglacial lakes on 79° N Glacier (north-eastern Greenland) and interannual climatic controls

Atmosphere Driven Mass-Balance Sensitivity of Halji Glacier, Himalayas

Modeling of Mass Balance Variability and Its Impact on Water Discharge from the Urumqi Glacier No. 1 Catchment, Tian Shan, China


Development repository for sea-ice column physics

The sensitivity of landfast sea ice to atmospheric forcing in single-column model simulations: a case study at Zhongshan Station, Antarctica


Reliability Test System - Grid Modernization Lab Consortium

U.S. Test System with High Spatial and Temporal Resolution for Renewable Integration Studies

Profitable Emissions-Reducing Energy Storage

Risk-Aware Dimensioning and Procurement of Contingency Reserve

An Enterprise Control Methodology for the Techno-Economic Assessment of the Energy Water Nexus

Optimal Transmission Topology for Facilitating the Growth of Renewable Power Generation

Integrating Electric Vehicles into Power System Operation Production Cost Models

Distributed Delay-Tolerant Strategies for Equality-Constraint Sum-Preserving Resource Allocation

Comparison of Meta-Heuristics for the Planning of Meshed Power Systems

A Coupled Karhunen--Loève and Anisotropic Sparse Grid Interpolation Method for the Probabilistic Load Flow Problem

Power System Impacts of Electric Vehicle Charging Strategies


RISC-V Configuration Validator


BESCA (Beyond Single Cell Analysis) offers python functions for single-cell analysis

Besca, a single-cell transcriptomics analysis toolkit to accelerate translational research

Dissecting the Mechanisms Underlying the Cytokine Release Syndrome (CRS) Mediated by T-Cell Bispecific Antibodies

Clinical cancer research : an official journal of the American Association for Cancer Research


A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models

EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach

Adversarial Attack and Defense on Graph Data: A Survey

GenAttack: Practical Black-box Attacks with Gradient-Free Optimization

Sign-OPT: A Query-Efficient Hard-label Adversarial Attack

Adversarial Robustness Against the Union of Multiple Perturbation Models

Foolbox: A Python toolbox to benchmark the robustness of machine learning models

A game-based approximate verification of deep neural networks with provable guarantees

Understanding More About Human and Machine Attention in Deep Neural Networks


NVIDIA Federated Learning Application Runtime Environment

NVIDIA FLARE: Federated Learning from Simulation to Real-World

Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation

Scalable federated machine learning with FEDn

Adaptive Aggregation For Federated Learning

Just-in-Time Aggregation for Federated Learning

ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data

Empowering Federated Learning for Massive Models with NVIDIA FLARE

Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology


Apache Commons Collections

Darwinian data structure selection

A comprehensive study of pseudo-tested methods

Sentinel: A Hyper-Heuristic for the Generation of Mutant Reduction Strategies

IEEE Transactions on Software Engineering

DJXPerf: Identifying Memory Inefficiencies via Object-Centric Profiling for Java

Predicting Crash Fault Residence via Simplified Deep Forest Based on A Reduced Feature Set

Design, implementation, and application of GPU-based Java bytecode interpreters

Proceedings of the ACM on Programming Languages

The Impact of Systematic Edits in History Slicing

Test Oracle Automation in the era of LLMs


Code for paper "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image". ICCV2019

HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media

Versatile Multi-Modal Pre-Training for Human-Centric Perception

Occlusion-Invariant Rotation-Equivariant Semi-Supervised Depth Based Cross-View Gait Pose Estimation


Actor-based Communication via Reaction-Diffusion. A molecular communication simulator. Simulates stochastic reaction-diffusion systems.

Simulating with AcCoRD: Actor-based Communication via Reaction-Diffusion

Active versus Passive: Receiver Model Transforms for Diffusive Molecular Communication

3D Stochastic Geometry Model for Large-Scale Molecular Communication Systems


Migrating the SNP array-based homologous recombination deficiency measures to next generation sequencing data of breast cancer

Copy number signatures predict chromothripsis and clinical outcomes in newly diagnosed multiple myeloma

Determining homologous recombination deficiency scores with whole exome sequencing and their association with responses to neoadjuvant chemotherapy in breast cancer

Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study

medRxiv : the preprint server for health sciences


"Zero-Shot" Super-Resolution using Deep Internal Learning

Degradation-Guided Meta-Restoration Network for Blind Super-Resolution

Unsupervised Single-Image Super-Resolution with Multi-Gram Loss

Self-supervised Fine-tuning for Correcting Super-Resolution Convolutional Neural Networks

Unsupervised Remote Sensing Super-Resolution via Migration Image Prior

Kernelized Back-Projection Networks for Blind Super Resolution


Pairtools: From sequencing data to chromosome contacts

bioRxiv : the preprint server for biology

Deciphering multi-way interactions in the human genome

Sequencing and Chromosome-Scale Assembly of Plant Genomes, Brassica rapa as a Use Case


A car detection model implemented in Tensorflow.

MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

Disentangling Monocular 3D Object Detection

Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing

RGB cameras failures and their effects in autonomous driving applications


Dataset of GPT-2 outputs for research in detection, biases, and more

The Curious Case of Neural Text Degeneration

Can AI-Generated Text be Reliably Detected?

MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers

OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Assessing Social and Intersectional Biases in Contextualized Word Representations

Automatic Detection of Machine Generated Text: A Critical Survey

Authorship Attribution for Neural Text Generation

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP)

Trojaning Language Models for Fun and Profit

Machine-Generated Text: A Comprehensive Survey of Threat Models and Detection Methods

CoCon: A Self-Supervised Approach for Controlled Text Generation


APTnotes data

Generating Fake Cyber Threat Intelligence Using Transformer-Based Models

A Machine Learning Approach for the NLP-Based Analysis of Cyber Threats and Vulnerabilities of the Healthcare Ecosystem

What Are the Attackers Doing Now? Automating Cyberthreat Intelligence Extraction from Text on Pace with the Changing Threat Landscape: A Survey

Automated Dataset Generation System for Collaborative Research of Cyber Threat Intelligence Analysis.

ThreatKG: A Threat Knowledge Graph for Automated Open-Source Cyber Threat Intelligence Gathering and Management

On Preempting Advanced Persistent Threats Using Probabilistic Graphical Models

On Learning Word Embeddings From Linguistically Augmented Text Corpora

Proceedings of the 13th International Conference on Computational Semantics - Short Papers

A Structured Analysis of Information Security Incidents in the Maritime Sector

A Pretrained Language Model for Cyber Threat Intelligence

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track

Mining Temporal Attack Patterns from Cyberthreat Intelligence Reports


Tools for accessing the Botanical Information and Ecology Network (BIEN) database


Explains the usage of the openLCA API from Python (Jython)


Area-Proportional Euler and Venn Diagrams with Ellipses

RaGOO: fast and accurate reference-guided scaffolding of draft genomes

Doing More with Less: A Comparison of 16S Hypervariable Regions in Search of Defining the Shrimp Microbiota

Deep sampling and pooled amplicon sequencing reveals hidden genic variation in heterogeneous rye accessions

The Relationship Between Microbiomes and Selective Regimes in the Sponge Genus Ircinia

Immunophenotyping of Peripheral Blood Mononuclear Cells in Septic Shock Patients With High-Dimensional Flow Cytometry Analysis Reveals Two Subgroups With Differential Responses to Immunostimulant Drugs

Consensus molecular subtype differences linking colon adenocarcinoma and obesity revealed by a cohort transcriptomic analysis

Deep Proteome Profiling Reveals Signatures of Age and Sex Differences in Paw Skin and Sciatic Nerve of Naïve Mice

Mutational signatures representative transcriptomic perturbations in hepatocellular carcinoma


Qrisp - a framework for high-level programming of Quantum computers

Quantum Backtracking in Qrisp Applied to Sudoku Problems

Eclipse Qrisp QAOA: description and preliminary comparison with Qiskit
  counterparts


The system call intercepting library

A FaaS File System for Serverless Computing

SaBRe: load-time selective binary rewriting

International Journal on Software Tools for Technology Transfer (STTT)

Performance Characterization of AutoNUMA Memory Tiering on Graph Analytics

Zenodo (CERN European Organization for Nuclear Research)


NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning

Image Captioning with Semantic Attention

Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning

A Shared Task on Multimodal Machine Translation and Crosslingual Image Description

Proceedings of the First Conference on Machine Translation: Volume 2,
          Shared Task Papers

Cross-Lingual Image Caption Generation

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1

Guiding Long-Short Term Memory for Image Caption Generation

Text-Guided Attention Model for Image Captioning

GRIT: Faster and Better Image captioning Transformer Using Dual Visual Features

Neural Image Caption Generation with Weighted Training and Reference

Unsupervised Visual Sense Disambiguation for Verbs using Multimodal Embeddings


Posterior summarisation in Bayesian phylogenetics

Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7

The Prevotella copri Complex Comprises Four Distinct Clades Underrepresented in Westernized Populations

From asymmetrical to balanced genomic diversification during rediploidization: Subgenomic evolution in allotetraploid fish

Systematic Culturomics Shows that Half of Chicken Caecal Microbiota Members can be Grown in Vitro Except for Two Lineages of Clostridiales and a Single Lineage of Bacteroidetes

New genera and species from the Equatorial Pacific provide phylogenetic insights into deep-sea Polynoidae (Annelida)

Zoological Journal of the Linnean Society

Different rates of pollen and seed gene flow cause branch‐length and geographic cytonuclear discordance within Asian butternuts

A Novel and Divergent Gyrovirus with Unusual Genomic Features Detected in Wild Passerine Birds from a Remote Rainforest in French Guiana

Genetic Characteristic and Global Transmission of Influenza A H9N2 Virus

RADseq resolves the phylogeny of Hawaiian Myrsine (Primulaceae) and provides evidence for hybridization

Phylogeographic structure and ecological niche modelling reveal signals of isolation and postglacial colonisation in the European stag beetle


Package to calculate several thermal comfort indices (e.g. PMV, PPD, SET, adaptive) and convert physical variables.


MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.

MyoSuite -- A contact-rich simulation suite for musculoskeletal motor control

RoboHive: A Unified Framework for Robot Learning

Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic

Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models

MuscleVAE: Model-Based Controllers of Muscle-Actuated Characters

Self Model for Embodied Intelligence: Modeling Full-Body Human Musculoskeletal System and Locomotion Control with Hierarchical Low-Dimensional Representation

Growing Q-Networks: Solving Continuous Control Tasks with Adaptive
  Control Resolution


Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework

International Conference on Learning Representations

Stochastic Gradient VB and the Variational Auto-Encoder

Neural Discrete Representation Learning

Variational Inference with Normalizing Flows

Adversarial Autoencoders

Autoencoding beyond pixels using a learned similarity metric

Improved Variational Inference with Inverse Autoregressive Flow

Disentangling by Factorising

Isolating Sources of Disentanglement in Variational Autoencoders

Importance Weighted Autoencoders


General purpose unsupervised sentence representations

SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation

Meeting of the Association for Computational Linguistics

Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features

North American Chapter of the Association for Computational Linguistics

Simple Unsupervised Keyphrase Extraction using Sentence Embeddings

Boosting Neural Machine Translation with Similar Translations

Improving Neural Conversational Models with Entropy-Based Data Filtering

Transfer Learning and Sentence Level Features for Named Entity Recognition on Tweets

Empirical Methods in Natural Language Processing

Better Word Embeddings by Disentangling Contextual n-Gram Information

Obtaining Better Static Word Embeddings Using Contextual Embedding Models

KFU NLP Team at SMM4H 2019 Tasks: Want to Extract Adverse Drugs Reactions from Tweets? BERT to The Rescue

SOCIAL MEDIA MINING FOR HEALTH APPLICATIONS (#SMM4H) WORKSHOP & SHARED TASK

Context Mover's Distance & Barycenters: Optimal transport of contexts for building representations


Mirror of Apache PDFBox

Mining Fix Patterns for FindBugs Violations

Improving the Accessibility of Scientific Documents: Current State, User Needs, and a System Solution to Enhance Scientific PDF Accessibility for Blind and Low Vision Users

A comprehensive study of pseudo-tested methods

Active Learning of Discriminative Subgraph Patterns for API Misuse Detection

IEEE Transactions on Software Engineering

Production Monitoring to Improve Test Suites

Graph Neural Networks and Representation Embedding for Table Extraction in PDF Documents

Flaky Test Sanitisation via On-the-Fly Assumption Inference for Tests with Network Dependencies

Information Extraction from Visually Rich Documents with Font Style Embeddings


Nanopore sequence read simulator

Systematic assessment of long-read RNA-seq methods for transcript identification and quantification

Trans-NanoSim characterizes and simulates nanopore RNA-sequencing data

Precise characterization of somatic complex structural variations from tumor/control paired long-read sequencing data with nanomonsv

A spectral algorithm for fast de novo layout of uncorrected long nanopore reads

Trans-NanoSim characterizes and simulates nanopore RNA-seq data


XQUIC Library released by Alibaba is a cross-platform implementation of QUIC and HTTP/3 protocol.

Revisiting QUIC attacks: a comprehensive review on QUIC security and a hands-on study

A Quic(k) Security Overview: A Literature Research on Implemented Security Recommendations

Proceedings of the 18th International Conference on Availability, Reliability and Security


Loss modelling framework.


Tools and service for differentially private processing of tabular and relational data

Benchmarking Differentially Private Synthetic Data Generation Algorithms

Differentially Private Synthetic Data: Applied Evaluations and Enhancements

A Unified Framework for Quantifying Privacy Risk in Synthetic Data

Precision-based attacks and interval refining: how to break, then fix, differential privacy on finite computers

Privacy and Utility of Private Synthetic Data for Medical Data Analyses

Faking feature importance: A cautionary tale on the use of differentially-private synthetic data

Differentially Private Release of Israel's National Registry of Live
  Births

On the Utility Recovery Incapability of Neural Net-based Differential Private Tabular Training Data Synthesizer under Privacy Deregulation

"What do you want from theory alone?" Experimenting with Tight Auditing
  of Differentially Private Synthetic Data Generation

FLAIM: AIM-based Synthetic Data Generation in the Federated Setting


MuTect -- Accurate and sensitive cancer mutation detection

Assessment of Blood Tumor Mutational Burden as a Potential Biomarker for Immunotherapy in Patients With Non–Small Cell Lung Cancer With Use of a Next-Generation Sequencing Cancer Gene Panel

Tumor and immune reprogramming during immunotherapy in advanced renal cell carcinoma

Review: Precision medicine and driver mutations: Computational methods, functional assays and conformational principles for interpreting cancer drivers

Genomic landscape and evolutionary trajectories of ovarian cancer precursor lesions

A Phase Ib Study of the Combination of Personalized Autologous Dendritic Cell Vaccine, Aspirin, and Standard of Care Adjuvant Chemotherapy Followed by Nivolumab for Resected Pancreatic Adenocarcinoma—A Proof of Antigen Discovery Feasibility in Three Patients

Characterization of the genomic landscape in large-scale Chinese patients with pancreatic cancer

Paired whole exome and transcriptome analyses for the Immunogenomic changes during concurrent chemoradiotherapy in esophageal squamous cell carcinoma

Driver mutations of intrahepatic cholangiocarcinoma shape clinically relevant genomic clusters with distinct molecular features and therapeutic vulnerabilities

Combined tumor and immune signals from genomes or transcriptomes predict outcomes of checkpoint inhibition in melanoma

CIITA-Transduced Glioblastoma Cells Uncover a Rich Repertoire of Clinically Relevant Tumor-Associated HLA-II Antigens


The official Meta Llama 3 GitHub site

Qwen2 Technical Report

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

RULER: What's the Real Context Size of Your Long-Context Language
  Models?

A Survey of Large Language Models in Medicine: Principles, Applications, and Challenges

SWE-agent: Agent-Computer Interfaces Enable Automated Software
  Engineering

AlpaCare:Instruction-tuned Large Language Models for Medical Application

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large
  Language Models

Efficient Multimodal Learning from Data-centric Perspective

Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws

An Empirical Study of LLaMA3 Quantization: From LLMs to MLLMs


CoreNet: A library for training deep neural networks

CVNets: High Performance Library for Computer Vision

OpenELM: An Efficient Language Model Family with Open Training and Inference Framework

Bytes Are All You Need: Transformers Operating Directly On File Bytes

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster
  Pre-training on Web-scale Image-Text Data


Models and examples built with TensorFlow

Dynamic Routing Between Capsules

Controversial stimuli: Pitting neural networks against each other as models of human cognition

Attention routing between capsules

Sparse Unsupervised Capsules Generalize Better

Capsule Networks with Max-Min Normalization

MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1% error rate. Ensembles overview and proposal

Limitations of routing-by-agreement based capsule networks.

Shifting Capsule Networks from the Cloud to the Deep Edge

Avoiding Implementation Pitfalls of "Matrix Capsules with EM Routing" by Hinton et al

Fast Inference in Capsule Networks Using Accumulated Routing Coefficients