A high-performance Java Implementation of RDF2Vec

Semantic similarity and machine learning with ontologies

RDF2Vec Light -- A Lightweight Approach for Knowledge Graph Embeddings

Walk this Way! Entity Walks and Property Walks for RDF2vec

Putting RDF2vec in Order

Supervised Ontology and Instance Matching with MELT

The DLCC Node Classification Benchmark for Analyzing Knowledge Graph Embeddings

Refining Diagnosis Paths for Medical Diagnosis based on an Augmented Knowledge Graph

Entity Type Prediction Leveraging Graph Walks and Entity Descriptions

Ontology Matching Through Absolute Orientation of Embedding Spaces


Double Dummy Solver written in C++ for the Bridge Card Game

Joint Policy Search for Multi-agent Collaboration with Imperfect Information

Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning


A Python toolkit of the BOP benchmark for 6D object pose estimation.

T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects

BOP: Benchmark for 6D Object Pose Estimation

BOP Challenge 2020 on 6D Object Localization

Pose Estimation of Specific Rigid Objects

Extending 6D Object Pose Estimators for Stereo Vision

Comparative Evaluation of 3D Reconstruction Methods for Object Pose Estimation


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


Kernel Density Estimation in Python

Efficient statistical classification of satellite measurements

Metal-enriched halo gas across galaxy overdensities over the last 10 billion years

Monthly Notices of the Royal Astronomical Society

Antibacterial peptide CyclomarinA creates toxicity by deregulating the Mycobacterium tuberculosis ClpC1–ClpP1P2 protease

Mass-sensitive particle tracking (MSPT) to elucidate the membrane-associated MinDE reaction cycle

The Distribution of Pelvic Nodal Metastases in Prostate Cancer Reveals Potential to Advance and Personalize Pelvic Radiotherapy

Parameter Estimation for RANS Models Using Approximate Bayesian Computation


Automated Fiber Quantification

DeepDTI: High-fidelity six-direction diffusion tensor imaging using deep learning

A browser-based tool for visualization and analysis of diffusion MRI data

White matter myelination during early infancy is linked to spatial gradients and myelin content at birth

Microstructural properties of the vertical occipital fasciculus explain the variability in human stereoacuity

Applying microstructural models to understand the role of white matter in cognitive development

Aberrant White Matter Microstructure as a Potential Diagnostic Marker in Alzheimer's Disease by Automated Fiber Quantification

Longitudinal white matter microstructural changes in pediatric mild traumatic brain injury: An A‐CAP study

Computational neuroanatomy of human stratum proprium of interparietal sulcus

Post-acute white matter microstructure predicts post-acute and chronic post-concussive symptom severity following mild traumatic brain injury in children

Neonatal white matter tract microstructure and 2-year language outcomes after preterm birth


Boltzmann Generators and Normalizing Flows in PyTorch

Equivariant flow matching

Temperature Steerable Flows and Boltzmann Generators

Skipping the Replica Exchange Ladder with Normalizing Flows

Reaction coordinate flows for model reduction of molecular kinetics

Normalizing flows as an enhanced sampling method for atomistic
  supercooled liquids


Fn Flow Server

No Provisioned Concurrency: Fast RDMA-codesigned Remote Fork for Serverless Computing

Serverless Workflows with Durable Functions and Netherite

Standards‐based modeling and deployment of serverless function orchestrations using BPMN and TOSCA

Efficiency in the serverless cloud paradigm: A survey on the reusing and approximation aspects

Efficiency in the Serverless Cloud Computing Paradigm: A Survey Study.

Flock: A Low-Cost Streaming Query Engine on FaaS Platforms


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)


Small language toolkit for creation, interpolation and pruning of ARPA language models

TED-LIUM 3: twice as much data and corpus repartition for experiments on speaker adaptation

Arabic Speech Recognition by End-to-End, Modular Systems and Human

Multistream CNN for Robust Acoustic Modeling

ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition

An enhanced automatic speech recognition system for Arabic

Proceedings of the Third Arabic Natural Language Processing Workshop

Word Error Rate Estimation Without ASR Output: e-WER2

Scribosermo: Fast Speech-to-Text models for German and other Languages

"This is Houston. Say again, please". The Behavox system for the Apollo-11 Fearless Steps Challenge (phase II)


Python package for signal processing, with emphasis on iterative methods

Score-based diffusion models for accelerated MRI

PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated MRI

B-Spline Parameterized Joint Optimization of Reconstruction and K-Space Trajectories (BJORK) for Accelerated 2D MRI

Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

Stability of conventional and machine learning-based tumor auto-segmentation techniques using undersampled dynamic radial bSSFP acquisitions on a 0.35 T hybrid MR-linac system.

Blind Primed Supervised (BLIPS) Learning for MR Image Reconstruction

Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning

Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction

Learning Task-Specific Strategies for Accelerated MRI

Analysis of Deep Image Prior and Exploiting Self-Guidance for Image
  Reconstruction


腾讯事务处理技术验证系统（Tencent Transaction Processing Testbed System）

Systematic definition and classification of data anomalies in DBMS (English Version)

Coo: Consistency Check for Transactional Databases


Facebook Low Resource (FLoRes) MT Benchmark

Beyond English-Centric Multilingual Machine Translation

The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation

Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine

The FLoRes Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English

Towards Making the Most of ChatGPT for Machine Translation

Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English

DeepNet: Scaling Transformers to 1,000 Layers

Survey of Low-Resource Machine Translation

Low-Resource Corpus Filtering using Multilingual Sentence Embeddings

Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation


SPLASH is an interactive visualisation and plotting tool using kernel interpolation, mainly used for Smoothed Particle Hydrodynamics simulations

Kinematic Structures in Planet-Forming Disks

The role of drag and gravity on dust concentration in a gravitationally unstable disc

Continuing to hide signatures of gravitational instability in protoplanetary discs with planets

Gas and star kinematics in cloud-cloud collisions


Fetch Standard

Cross-Origin State Inference (COSI) Attacks: Leaking Web Site States through XS-Leaks

CORSICA: Cross-Origin Web Service Identification

Sharding and HTTP/2 connection reuse revisited

Information Leaks via Safari's Intelligent Tracking Prevention


Python package built to ease deep learning on graph, on top of existing DL frameworks.

Semi-Supervised Classification with Graph Convolutional Networks

Graph Attention Networks

Inductive Representation Learning on Large Graphs

node2vec: Scalable Feature Learning for Networks

How Powerful are Graph Neural Networks?

Graph Neural Networks: A Review of Methods and Applications

Modeling Relational Data with Graph Convolutional Networks

Graph Convolutional Neural Networks for Web-Scale Recommender Systems

Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks

Variational Graph Auto-Encoders


The official implementation of HierSpeech++

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

BigVGAN: A Universal Neural Vocoder with Large-Scale Training

NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and
  Diffusion Models

XTTS: a Massively Multilingual Zero-Shot Text-to-Speech Model

HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech Synthesis

ZMM-TTS: Zero-shot Multilingual and Multispeaker Speech Synthesis Conditioned on Self-supervised Discrete Speech Representations

Autoregressive Diffusion Transformer for Text-to-Speech Synthesis

StyleTTS-ZS: Efficient High-Quality Zero-Shot Text-to-Speech Synthesis
  with Distilled Time-Varying Style Diffusion


Vision-and-Language Navigation in Continuous Environments using Habitat

DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames

Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding

Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments

GAUDI: A Neural Architect for Immersive 3D Scene Generation

Waypoint Models for Instruction-guided Navigation in Continuous Environments

Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation

Language-Aligned Waypoint (LAW) Supervision for Vision-and-Language Navigation in Continuous Environments

SASRA: Semantically-aware Spatio-temporal Reasoning Agent for Vision-and-Language Navigation in Continuous Environments


大规模中文自然语言处理语料  Large Scale Chinese Corpus for NLP

M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection

General and Domain-adaptive Chinese Spelling Check with Error-consistent Pretraining

On the Generation of Medical Dialogues for COVID-19


Code and videos accompanying the paper "Flickering Adversarial Attacks against Video Recognition Networks"

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

A Closer Look at Spatiotemporal Convolutions for Action Recognition

Sparse Adversarial Perturbations for Videos

Over-the-Air Adversarial Flickering Attacks against Video Recognition Networks


Automagically remove trends from time-series data

Wotan: Comprehensive Time-series Detrending 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

Transit least-squares survey

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

HD207897 b: A dense sub-Neptune transiting a nearby and bright K-type star

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

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

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


The most accurate natural language detection library for Python, suitable for short text and mixed-language text

WildChat: 1M ChatGPT Interaction Logs in the Wild

Zero-shot Bilingual App Reviews Mining with Large Language Models

CCpdf: Building a High Quality Corpus for Visually Rich Documents from Web Crawl Data

The Parliamentary Code-Switching Corpus: Bilingualism in the Ukrainian Parliament in the 1990s-2020s

Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)

An Empirical Study on Developers Shared Conversations with ChatGPT in
  GitHub Pull Requests and Issues

ALaRM: Align Language Models via Hierarchical Rewards Modeling

LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation

GUing: A Mobile GUI Search Engine using a Vision-Language Model

Getting Inspiration for Feature Elicitation: App Store- vs. LLM-based Approach

Investigating the translation capabilities of Large Language Models
  trained on parallel data only


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


PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.

Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID


[IJCV 2024] LaVie: High-Quality Video Generation with Cascaded Latent Diffusion Models

LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models

GAIA: Rethinking Action Quality Assessment for AI-Generated Videos

I4VGen: Image as Free Stepping Stone for Text-to-Video Generation

CoNo: Consistency Noise Injection for Tuning-free Long Video Diffusion


When Do Neural Nets Outperform Boosted Trees on Tabular Data?

Mixture of In-Context Prompters for Tabular PFNs

Retrieval & Fine-Tuning for In-Context Tabular Models


Implementation of protocols in Falcon

FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning

CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU

Bicoptor: Two-round Secure Three-party Non-linear Computation without Preprocessing for Privacy-preserving Machine Learning

Efficient Privacy-Preserving K-Means Clustering from Secret-Sharing-Based Secure Three-Party Computation


Platform for designing and evaluating Graph Neural Networks (GNN)

Design Space for Graph Neural Networks

Identity-aware Graph Neural Networks

ROLAND: Graph Learning Framework for Dynamic Graphs

Relational Multi-Task Learning: Modeling Relations between Data and Tasks

DFG-NAS: Deep and Flexible Graph Neural Architecture Search

Optimal Inference in Contextual Stochastic Block Models


VideoX: a collection of video cross-modal models

Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language

Expanding Language-Image Pretrained Models for General Video Recognition

Multi-Scale 2D Temporal Adjacency Networks for Moment Localization With Natural Language

IEEE transactions on pattern analysis and machine intelligence

A Survey on Video Moment Localization

Learning Sparse 2D Temporal Adjacent Networks for Temporal Action Localization

Multi-Scale 2D Temporal Adjacent Networks for Moment Localization with Natural Language

VGMShield: Mitigating Misuse of Video Generative Models


Tool for stripping adaptors and/or merging paired reads with overlap into single reads.

CAS9 transcriptional activators for target specificity screening and paired nickases for cooperative genome engineering

Massive migration from the steppe was a source for Indo-European languages in Europe

SOAPnuke: a MapReduce acceleration-supported software for integrated quality control and preprocessing of high-throughput sequencing data

Ancient human genomes suggest three ancestral populations for present-day Europeans

Skewer: a fast and accurate adapter trimmer for next-generation sequencing paired-end reads

High-frequency, precise modification of the tomato genome

AdapterRemoval: easy cleaning of next-generation sequencing reads

Ultrasmall copper-based nanoparticles for reactive oxygen species scavenging and alleviation of inflammation related diseases

Environmental DNA reveals that rivers are conveyer belts of biodiversity information

The draft genomes of soft-shell turtle and green sea turtle yield insights into the development and evolution of the turtle-specific body plan


GFF and GVF specification documents

The Synthetic Biology Open Language (SBOL) Version 3: Simplified Data Exchange for Bioengineering

Frontiers in bioengineering and biotechnology

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

Hamster PIWI proteins bind to piRNAs with stage-specific size variations during oocyte maturation

fagin: synteny-based phylostratigraphy and finer classification of young genes

Comparative Genomic Analysis of Antarctic Pseudomonas Isolates with 2,4,6-Trinitrotoluene Transformation Capabilities Reveals Their Unique Features for Xenobiotics Degradation

SilkPathDB: a comprehensive resource for the study of silkworm pathogens

Database : the journal of biological databases and curation

Approaches in Gene Coexpression Analysis in Eukaryotes

List.MID: A MIDI-Based Benchmark for Evaluating RDF Lists

Zenodo (CERN European Organization for Nuclear Research)

Pergola: Boosting Visualization and Analysis of Longitudinal Data by Unlocking Genomic Analysis Tools

Recommendations for extending the GFF3 specification for improved interoperability of genomic data


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


SemanticVectors creates semantic WordSpace models from free natural language text.

A Tale of Two Perplexities: Sensitivity of Neural Language Models to Lexical Retrieval Deficits in Dementia of the Alzheimer's Type

Improving average ranking precision in user searches for biomedical research datasets

Learning from Hypervectors: A Survey on Hypervector Encoding

Bringing Order to Neural Word Embeddings with Embeddings Augmented by Random Permutations (EARP)

Conference on Computational Natural Language Learning

Improving Biomedical Analogical Retrieval with Embedding of Structural Dependencies

Workshop on Biomedical Natural Language Processing

Replicating Relevance-Ranked Synonym Discovery in a New Language and Domain

Retrofitting Vector Representations of Adverse Event Reporting Data to Structured Knowledge to Improve Pharmacovigilance Signal Detection


Gaussian Process package based on data augmentation, sparsity and natural gradients

When Gaussian Process Meets Big Data: A Review of Scalable GPs

Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation

Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation

Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods


End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Affective and Contextual Embedding for Sarcasm Detection

International Conference on Computational Linguistics

Support-BERT: Predicting Quality of Question-Answer Pairs in MSDN using Deep Bidirectional Transformer


Scalable Neuroglancer compatible Downsampling, Meshing, Skeletonizing, Contrast Normalization, Transfers and more.

Structure and function of axo-axonic inhibition

Petascale neural circuit reconstruction: automated methods

Developmental Rewiring between Cerebellar Climbing Fibers and Purkinje Cells Begins with Positive Feedback Synapse Addition

Toward an Automated HPC Pipeline for Processing Large Scale Electron Microscopy Data

Igneous: Distributed dense 3D segmentation meshing, neuron skeletonization, and hierarchical downsampling


The SkyLLH framework is an open-source Python3-based package licensed under the GPLv3 license. It provides a modular framework for implementing custom likelihood functions and executing log-likelihood ratio hypothesis tests. The idea is to provide a class structure tied to the mathematical objects of the likelihood functions.

SkyLLH -- A generalized Python-based tool for log-likelihood analyses in multi-messenger astronomy

The Spectra of IceCube Neutrino (SIN) candidate sources -- IV. Spectral energy distributions and multi-wavelength variability

The SkyLLH framework for IceCube point-source search

Fitting neutrino flares: Applying expectation maximization on neutrino data


Toolbox for normative modelling and spatial inference of neuroimaging data. https://pcntoolkit.readthedocs.io/en/latest/

Hierarchical Bayesian Regression for Multi-Site Normative Modeling of Neuroimaging Data

Site effects how-to and when: An overview of retrospective techniques to accommodate site effects in multi-site neuroimaging analyses

A stable and replicable neural signature of lifespan adversity in the adult brain

Revealing Individual Neuroanatomical Heterogeneity in Alzheimer Disease Using Neuroanatomical Normative Modeling

Extreme deviations from the normative model reveal cortical heterogeneity and associations with negative symptom severity in first-episode psychosis from the OPTiMiSE and GAP studies

Population-wide cerebellar growth models of children and adolescents

Estimating cortical thickness trajectories in children across different scanners using transfer learning from normative models

Transformer-based normative modelling for anomaly detection of early schizophrenia

Predictive Clinical Neuroscience Portal (PCNportal): instant online access to research-grade normative models for clinical neuroscientists.


Library for Semi-Automated Data Science

Lale: Consistent Automated Machine Learning

Mining Documentation to Extract Hyperparameter Schemas

Type Safety with JSON Subschema

Gradual AutoML using Lale

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

An Empirical Study of Modular Bias Mitigators and Ensembles

Type-Driven Automated Learning with Lale

A Suite of Fairness Datasets for Tabular Classification


Starter code for working with the YouTube-8M dataset.

YouTube-8M: A Large-Scale Video Classification Benchmark

SirenAttack: Generating Adversarial Audio for End-to-End Acoustic Systems

NeXtVLAD: An Efficient Neural Network to Aggregate Frame-level Features for Large-scale Video Classification

A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions

Deep Triplet Neural Networks with Cluster-CCA for Audio-Visual Cross-Modal Retrieval

Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network

Aggregating Frame-level Features for Large-Scale Video Classification

Towards Good Practices for Multi-modal Fusion in Large-scale Video Classification

End-to-End Video Classification with Knowledge Graphs

Multi-attention Networks for Temporal Localization of Video-level Labels


Publication-quality sequence logos in R

CRISPR-Cas9 cytidine and adenosine base editing of splice-sites mediates highly-efficient disruption of proteins in primary and immortalized cells

Profiling Thermus thermophilus Argonaute Guide DNA Sequence Preferences by Functional Screening

Helicobacter pylori Chronic Infection Selects for Effective Colonizers of Metaplastic Glands

Maternally-inherited anti-sense piRNAs antagonize transposon expression in teleost embryos


A tensorflow reproducing of paper “Editing Text in the wild”

Synthetic Data for Text Localisation in Natural Images

Editing Text in the Wild

EnsNet: Ensconce Text in the Wild

TextStyleBrush: Transfer of Text Aesthetics from a Single Example

SimAN: Exploring Self-Supervised Representation Learning of Scene Text via Similarity-Aware Normalization

RewriteNet: Reliable Scene Text Editing with Implicit Decomposition of Text Contents and Styles

RewriteNet: Realistic Scene Text Image Generation via Editing Text in Real-world Image


Visual Alignment Constraint for Continuous Sign Language Recognition. ( ICCV 2021)

Self-Mutual Distillation Learning for Continuous Sign Language Recognition

International Conference on Computer Vision

SLTUNET: A Simple Unified Model for Sign Language Translation

Cross-modality Data Augmentation for End-to-End Sign Language Translation


Characterizing the Root Landscape of Certificate Transparency Logs

Aggregation-Based Gossip for Certificate Transparency

Identifying the Phishing Websites Using the Patterns of TLS Certificates

Postcertificates for Revocation Transparency

Do CAA, CT, and DANE Interlink in Certificate Deployments? A Web PKI Measurement Study


Swift Core ML 3 implementations of GPT-2, DistilGPT-2, BERT, and DistilBERT for Question answering. Other Transformers coming soon!

Language Models are Unsupervised Multitask Learners

DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Training Optimus Prime, M.D.: Generating Medical Certification Items by Fine-Tuning OpenAI's gpt2 Transformer Model


Computational Analysis of Novel Drug Opportunities

cando.py: Open Source Software for Predictive Bioanalytics of Large Scale Drug-Protein-Disease Data

Multiscale Virtual Screening Optimization for Shotgun Drug Repurposing Using the CANDO Platform

Proteomic Network Analysis of Bronchoalveolar Lavage Fluid in Ex-Smokers to Discover Implicated Protein Targets and Novel Drug Treatments for Chronic Obstructive Pulmonary Disease


Collection of commonly used RDP Tools for easy building

16S rRNA gene sequencing on a benchtop sequencer: accuracy for identification of clinically important bacteria

Butyrate Production Pathway Abundances Are Similar in Human and Nonhuman Primate Gut Microbiomes

Review, Evaluation, and Directions for Gene-Targeted Assembly for Ecological Analyses of Metagenomes

Targeted assemblies of cas1 suggest CRISPR-Cas’s response to soil warming


Deep Gaussian Processes with Doubly Stochastic Variational Inference

Doubly Stochastic Variational Inference for Deep Gaussian Processes

Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes

Deep Gaussian processes for biogeophysical parameter retrieval and model inversion

Isprs Journal of Photogrammetry and Remote Sensing

Deep recurrent Gaussian process with variational Sparse Spectrum approximation

Deep Gaussian Processes for geophysical parameter retrieval

International Geoscience and Remote Sensing Symposium


k-mer based Pipeline to identify the Serotype from Illumina NGS reads

SeroBA: rapid high-throughput serotyping of Streptococcus pneumoniae from whole genome sequence data

Diversity-Generating Machines: Genetics of Bacterial Sugar-Coating

Pan-Genome-Wide Association Study of Serotype 19A Pneumococci Identifies Disease-Associated Genes

A narrative review of genomic characteristics, serotype, immunogenicity, and vaccine development of Streptococcus pneumoniae capsular polysaccharide

Clinical and experimental vaccine research


Python package for causal discovery based on LiNGAM.

On the Role of Sparsity and DAG Constraints for Learning Linear DAGs

Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets

Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game

Variational Causal Networks: Approximate Bayesian Inference over Causal Structures

Joint estimation of linear non-Gaussian acyclic models

Neural graphical modelling in continuous-time: consistency guarantees and algorithms

Analyzing relationships among ARMA processes based on non-Gaussianity of external influences

Symbiotic bacterial network structure involved in carbon and nitrogen metabolism of wood-utilizing insect larvae

MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models

A Survey on Causal Discovery Methods for I.I.D. and Time Series Data


LOFAR pipeline using killms/ddfacet

The LOFAR Two-metre Sky Survey (LoTSS) III. First Data Release: optical/IR identifications and value-added catalogue

The LOFAR Two-metre Sky Survey

The LOFAR Two-meter Sky Survey: Deep Fields Data Release 1

LOFAR/H-ATLAS: the low-frequency radio luminosity-star formation rate relation

Monthly Notices of the Royal Astronomical Society

LOFAR observations of galaxy clusters in HETDEX

HAL (Le Centre pour la Communication Scientifique Directe)

The Beautiful Mess in Abell 2255

Sub-arcsecond imaging with the International LOFAR Telescope I. Foundational calibration strategy and pipeline

Remnant radio-loud AGN in the Herschel-ATLAS field

The population of M dwarfs observed at low radio frequencies

The Planck clusters in the LOFAR sky


This is the implementation of Noise2Void training.

Noise2Void - Learning Denoising from Single Noisy Images

Noisier2Noise: Learning to Denoise from Unpaired Noisy Data

Noise2Context: Context-assisted Learning 3D Thin-layer Low Dose CT Without Clean Data

Fluorescence microscopy datasets for training deep neural networks

Live-cell imaging powered by computation

Deformation-Compensated Learning for Image Reconstruction Without Ground Truth

N2V2 -- Fixing Noise2Void Checkerboard Artifacts with Modified Sampling Strategies and a Tweaked Network Architecture

Repair of noise-induced damage to stereocilia F-actin cores is facilitated by XIRP2 and its novel mechanosensor domain

Improved Imaging by Invex Regularizers with Global Optima Guarantees

Diffusion-based deep learning method for augmenting ultrastructural imaging and volume electron microscopy


An Exchange Format for Verification Witnesses (MOVED, please follow the link)

Reliable and Reproducible Competition Results with BenchExec and Witnesses (Report on SV-COMP 2016)

Tools and Algorithms for Construction and Analysis of Systems

Software Verification and Verifiable Witnesses

Witness validation and stepwise testification across software verifiers

Correctness witnesses: exchanging verification results between verifiers

Software Verification: 10th Comparative Evaluation (SV-COMP 2021)

Advances in Automatic Software Verification: SV-COMP 2020

Tests from Witnesses

Verification Artifacts in Cooperative Verification: Survey and Unifying Component Framework

MetaVal: Witness Validation via Verification

Verification-Aided Debugging: An Interactive Web-Service for Exploring Error Witnesses


ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型

GLM: General Language Model Pretraining with Autoregressive Blank Infilling

GLM-130B: An Open Bilingual Pre-trained Model

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All
  Tools

Understanding LLMs: A Comprehensive Overview from Training to Inference

Comprehensive Assessment of Jailbreak Attacks Against LLMs

A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems

ChemLLM: A Chemical Large Language Model

A Survey of the Evolution of Language Model-Based Dialogue Systems

Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialogue

AviationGPT: A Large Language Model for the Aviation Domain


A Python toolkit for pathology image analysis algorithms.

Predicting cancer outcomes from histology and genomics using convolutional networks

Interactive phenotyping of large-scale histology imaging data with HistomicsML

DynaMorph: self-supervised learning of morphodynamic states of live cells

A Comparative Study of U-Net Topologies for Background Removal in Histopathology Images

Choice Over Effort: Mapping and Diagnosing Augmented Whole Slide Image Datasets with Training Dynamics

Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics

Towards More Reliable Unsupervised Tissue Segmentation Via Integrating Mass Spectrometry Imaging and Hematoxylin-Erosin Stained Histopathological Image

Classifying subtypes and predicting survival of renal cell carcinoma using histopathology image-based deep learning

A population-level computational histologic signature for invasive breast cancer prognosis


Apache Ant is a Java-based build tool.

Learning Quick Fixes from Code Repositories

Broken External Links on Stack Overflow

BugPre: an intelligent software version-to-version bug prediction system using graph convolutional neural networks

Using Distributed Representation of Code for Bug Detection

Ammonia: an approach for deriving project-specific bug patterns

An Empirical Study of Untangling Patterns of Two-Class Dependency Cycles

Presti: Predicting Repayment Effort of Self-Admitted Technical Debt Using Textual Information

Automated Self-Admitted Technical Debt Tracking at Commit-Level: A Language-independent Approach


PEASS - Privilege Escalation Awesome Scripts SUITE (with colors)

Getting pwn'd by AI: Penetration Testing with Large Language Models

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

LLMs as Hackers: Autonomous Linux Privilege Escalation Attacks

Got Root? A Linux Priv-Esc Benchmark


Ongoing research training transformer models at scale

PaLM: Scaling Language Modeling with Pathways

DeBERTa: Decoding-enhanced BERT with Disentangled Attention

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

Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

CTRL: A Conditional Transformer Language Model for Controllable Generation

ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

Q8BERT: Quantized 8Bit BERT

Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Adversarial Training for Large Neural Language Models


pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

Automatic Fact-guided Sentence Modification

Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View

CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems

Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions

Abstractive Summarization Guided by Latent Hierarchical Document Structure

Nutri-bullets Hybrid: Consensual Multi-document Summarization

Abstractive summarization of hospitalisation histories with transformer networks

A Corpus of Very Short Scientific Summaries


The project is an official implement of our CVPR2019 paper "Recurrent Back-Projection Network for Video Super-Resolution"

The 2018 PIRM Challenge on Perceptual Image Super-resolution

Video Super Resolution Based on Deep Learning: A Comprehensive Survey

Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution

Self-Supervised Adaptation for Video Super-Resolution


[arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis

Momentum Contrast for Unsupervised Visual Representation Learning

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

Contrastive Multiview Coding

Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere

Debiased Contrastive Learning

Dataset Condensation via Efficient Synthetic-Data Parameterization

CompRess: Self-Supervised Learning by Compressing Representations

Impact of base dataset design on few-shot image classification

On Equivariant and Invariant Learning of Object Landmark Representations

Gacs-Korner Common Information Variational Autoencoder


Ethereum decompiler

SAILFISH: Vetting Smart Contract State-Inconsistency Bugs in Seconds

Not so immutable: Upgradeability of Smart Contracts on Ethereum

Neural-FEBI: Accurate Function Identification in Ethereum Virtual Machine Bytecode


R package for detecting Twitter bots via machine learning

Correction to: Disinformation in Open Online Media

Multidisciplinary International Symposium on Disinformation in Open Online Media

Framing of and Attention to COVID-19 on Twitter: Thematic Analysis of Hashtags

The influence of fake accounts on sentiment analysis related to COVID-19 in Indonesia

Twitter Spam and False Accounts Prevalence, Detection and Characterization: A Survey

The Mutual Influence of the World Health Organization (WHO) and Twitter Users During COVID-19: Network Agenda-Setting Analysis

Anonymous Real-Time Analytics Monitoring Solution for Decision Making Supported by Sentiment Analysis

Promoting and countering misinformation during Australia’s 2019–2020 bushfires: a case study of polarisation

Pooches on a platform: Text mining twitter for sector perceptions of dogs during a global pandemic


Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Deep Learning on Graphs: A Survey

Graph neural network for traffic forecasting: A survey

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values

Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions

IEEE Transactions on Intelligent Transportation Systems

How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey

ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed

International Conference on Information and Knowledge Management


The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

Deep Learning on Graphs: A Survey

GraphSAINT: Graph Sampling Based Inductive Learning Method

Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey

Node Dependent Local Smoothing for Scalable Graph Learning

Bandit Samplers for Training Graph Neural Networks

A Comprehensive Survey on Graph Summarization with Graph Neural Networks

Dimensional Reweighting Graph Convolutional Networks


improves over nerf in 360 capture of unbounded scenes

NeRF++: Analyzing and Improving Neural Radiance Fields

Volume Rendering of Neural Implicit Surfaces

CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation

Reconstructing Objects in-the-wild for Realistic Sensor Simulation

AR-NeRF: Unsupervised Learning of Depth and Defocus Effects from Natural Images with Aperture Rendering Neural Radiance Fields


MIT Language Modeling Toolkit

Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR

Comparison of Grapheme-to-Phoneme Conversion Methods on a Myanmar Pronunciation Dictionary

ASR for Non-standardised Languages with Dialectal Variation: the case of Swiss German

Workshop on NLP for Similar Languages, Varieties and Dialects

An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation

IEEE International Conference on Software Analysis, Evolution, and Reengineering

NRC-CNRC Systems for Upper Sorbian-German and Lower Sorbian-German Machine Translation 2021

Does Code Review Promote Conformance? A Study of OpenStack Patches

Snow Mountain: Dataset of Audio Recordings of The Bible in Low Resource Languages

Helion: Enabling a Natural Perspective of Home Automation


This repository contains source code for the TaBERT model, a pre-trained language model for learning joint representations of natural language utterances and (semi-)structured tables for semantic parsing. TaBERT is pre-trained on a massive corpus of 26M Web tables and their associated natural language context, and could be used as a drop-in replacement of a semantic parsers original encoder to compute representations for utterances and table schemas (columns).

TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

AIT-QA: Question Answering Dataset over Complex Tables in the Airline Industry

Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and
  Understanding -- A Survey

StruBERT: Structure-aware BERT for Table Search and Matching

UniTabE: Pretraining a Unified Tabular Encoder for Heterogeneous Tabular Data

Few-Shot Table Understanding: A Benchmark Dataset and Pre-Training Baseline

International Conference on Computational Linguistics

Observatory: Characterizing Embeddings of Relational Tables

Self-supervised Text-to-SQL Learning with Header Alignment Training


Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression

Lossy Image Compression with Conditional Diffusion Models

Text + Sketch: Image Compression at Ultra Low Rates

Scalable Face Image Coding via StyleGAN Prior: Towards Compression for Human-Machine Collaborative Vision

MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image Restoration


GNU Radio OOT module for demodulating and decoding ADS-B packets

On the Feasibility of Exploiting Traffic Collision Avoidance System Vulnerabilities

A Container-based Architecture to Provide Services from SDR Devices

International Conference on Industrial Informatics

A cloud-assisted ADS-B network for UAVs based on SDR

IEEE International Workshop on Metrology for AeroSpace


Pytorch Implementation of DeepLog.

Log-based Anomaly Detection with Deep Learning: How Far Are We?

Proceedings of the 44th International Conference on Software Engineering

DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications

Conference on Computer and Communications Security

SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability


The Honey Badger of BFT Protocols

FireLedger: A High Throughput Blockchain Consensus Protocol

Protocol for Asynchronous, Reliable, Secure and Efficient Consensus (PARSEC) Version 2.0

JUMBO: Fully Asynchronous BFT Consensus Made Truly Scalable


Benchmark sets for binding free energy calculations: Perpetual review paper, discussion, datasets, and standards

DeltaDelta Neural Networks for Lead Optimization of Small Molecule Potency

A Physics-Guided Neural Network for Predicting Protein–Ligand Binding Free Energy: From Host–Guest Systems to the PDBbind Database

Supercomputer Docking

Supercomputing Frontiers and Innovations

Predicting binding free energies: Frontiers and benchmarks (a perpetual review)


pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

The PyTorch-Kaldi Speech Recognition Toolkit

Quaternion Recurrent Neural Networks

Interpretable Convolutional Filters with SincNet

Twin Networks: Matching the Future for Sequence Generation

Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps

Learning to Fool the Speaker Recognition

Bidirectional Quaternion Long-Short Term Memory Recurrent Neural Networks for Speech Recognition

Speech recognition with quaternion neural networks

Quaternion Neural Networks for Multi-channel Distant Speech Recognition

Twin Regularization for online speech recognition


Sionna: An Open-Source Library for Next-Generation Physical Layer Research

Deep Learning Methods for Improved Decoding of Linear Codes

IEEE Journal on Selected Topics in Signal Processing

Learning to Decode Linear Codes Using Deep Learning

Improved Nonlinear Transform Source-Channel Coding to Catalyze Semantic Communications


Deblur is a greedy deconvolution algorithm based on known read error profiles.

Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns

Host Ecology Rather Than Host Phylogeny Drives Amphibian Skin Microbial Community Structure in the Biodiversity Hotspot of Madagascar

Mosquito Microbiome Dynamics, a Background for Prevalence and Seasonality of West Nile Virus

Community richness of amphibian skin bacteria correlates with bioclimate at the global scale

Method development for cross-study microbiome data mining: Challenges and opportunities

Computational and structural biotechnology journal

Achieving pan-microbiome biological insights via the dbBact knowledge base

Amelioration of Alzheimer’s Disease by Gut-Pancreas-Liver-Brain Interaction in an App Knock-In Mouse Model

Building the taxonomic profile of the Riniaie Marwah hot spring of Kishtwar in Jammu and Kashmir: the first high-throughput sequencing-based metagenome study

No impact of a short-term climatic “El Niño” fluctuation on gut microbial diversity in populations of the Galápagos marine iguana (Amblyrhynchus cristatus)


Data Assimilation with Python: a Package for Experimental Research

Adaptive covariance inflation in the ensemble Kalman filter by Gaussian scale mixtures

Quarterly Journal of the Royal Meteorological Society

nansencenter/DAPPER: Version 0.8

Data Assimilation Networks

Journal of Advances in Modeling Earth Systems

Inferring the instability of a dynamical system from the skill of data assimilation exercises

p-Kernel Stein Variational Gradient Descent for Data Assimilation and History Matching

Simplified Kalman smoother and ensemble Kalman smoother for improving reanalyses


The NetHack Learning Environment

The NetHack Learning Environment

Learning with AMIGo: Adversarially Motivated Intrinsic Goals

BeBold: Exploration Beyond the Boundary of Explored Regions

WordCraft: An Environment for Benchmarking Commonsense Agents

Improving Policy Learning via Language Dynamics Distillation

Dungeons and Data: A Large-Scale NetHack Dataset

Grounding Aleatoric Uncertainty for Unsupervised Environment Design


Program for determining types of files for Windows, Linux and MacOS.

Longitudinal Study of the Prevalence of Malware Evasive Techniques

Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance

Mal2GCN: a robust malware detection approach using deep graph convolutional networks with non-negative weights

Fast and Efficient Malware Detection with Joint Static and Dynamic Features Through Transfer Learning

Analysis of Machine Learning Approaches to Packing Detection


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

AugLy: Data Augmentations for Adversarial Robustness

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

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

Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness
  Characterization Methods for Data-Centric AI

3rd Place Solution to Meta AI Video Similarity Challenge


Pysam is a Python package for reading, manipulating, and writing genomics data such as SAM/BAM/CRAM and VCF/BCF files. It's a lightweight wrapper of the HTSlib API, the same one that powers samtools, bcftools, and tabix.

NanoPack: visualizing and processing long-read sequencing data

BlobToolKit – Interactive Quality Assessment of Genome Assemblies

WhatsHap: fast and accurate read-based phasing

Highly rearranged chromosomes reveal uncoupling between genome topology and gene expression

GuideScan software for improved single and paired CRISPR guide RNA design

Profiling the genome-wide landscape of tandem repeat expansions

A New Phylogenetic Framework for the Animal-Adapted Mycobacterium tuberculosis Complex

Plastid: nucleotide-resolution analysis of next-generation sequencing and genomics data

The variant call format provides efficient and robust storage of GWAS summary statistics

DeepC: predicting 3D genome folding using megabase-scale transfer learning


Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

SAM 2: Segment Anything in Images and Videos

Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection


Density-aware Single Image De-raining using a Multi-stream Dense Network  (CVPR 2018)

Rain Streaks Removal for Single Image via Kernel-Guided Convolutional Neural Network

UG^2+ Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments

Towards Unified Deep Image Deraining: A Survey and A New Benchmark

An Analysis of Multi-stage Progressive Image Restoration Network (MPRNet)


A tensorflow re-implementation of RRPN: Arbitrary-Oriented Scene Text Detection via Rotation Proposals.

Learning RoI Transformer for Detecting Oriented Objects in Aerial Images

Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks

Position Detection and Direction Prediction for Arbitrary-Oriented Ships via Multitask Rotation Region Convolutional Neural Network


How Powerful are Performance Predictors in Neural Architecture Search?

NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing

Generic Neural Architecture Search via Regression

NAS-Bench-x11 and the Power of Learning Curves


g2p: English Grapheme To Phoneme Conversion

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

Generative Spoken Language Modeling from Raw Audio

Unsupervised Speech Recognition

Scaling Speech Technology to 1,000+ Languages

ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech

Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision

Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation

Semantic-Preserved Communication System for Highly Efficient Speech Transmission

Probing the Information Encoded in X-vectors

Automatic Speech Recognition & Understanding

MUCS 2021: Multilingual and Code-Switching ASR Challenges for Low Resource Indian Languages


Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to inter-compare AI models for weather and climate.

FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere

A Practical Probabilistic Benchmark for AI Weather Models

Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh

Coupled Ocean-Atmosphere Dynamics in a Machine Learning Earth System
  Model

Analyzing and Exploring Training Recipes for Large-Scale
  Transformer-Based Weather Prediction


A PyTorch reimplementation of bottom-up-attention models

Object-aware Video-language Pre-training for Retrieval

A Multimodal Framework for the Detection of Hateful Memes

Guiding Visual Question Answering with Attention Priors

Weakly-Supervised Visual-Textual Grounding with Semantic Prior Refinement


Python client for iNaturalist


An efficient implementation of the Double Description Method

Computational aspects of relaxation complexity: possibilities and limitations

A Formal Disproof of Hirsch Conjecture

A FAIR File Format for Mathematical Software


Bioinformatics code libraries and scripts

Genomic insights into potential interdependencies in microbial hydrocarbon and nutrient cycling in hydrothermal sediments

Inference and reconstruction of the heimdallarchaeial ancestry of eukaryotes

Protein Family Content Uncovers Lineage Relationships and Bacterial Pathway Maintenance Mechanisms in DPANN Archaea

Capture-based enrichment of Theileria parva DNA enables full genome assembly of first buffalo-derived strain and reveals exceptional intra-specific genetic diversity


The fuzzer afl++ is afl with community patches, qemu 5.1 upgrade, collision-free coverage, enhanced laf-intel & redqueen, AFLfast++ power schedules, MOpt mutators, unicorn_mode, and a lot more!

Evaluating Synthetic Bugs

Berserker: ASN.1-based Fuzzing of Radio Resource Control Protocol for 4G and 5G

Casr-Cluster: Crash Clustering for Linux Applications

Combining BMC and Fuzzing Techniques for Finding Software Vulnerabilities in Concurrent Programs

Revisiting Neural Program Smoothing for Fuzzing

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

BugMiner: Mining the Hard-to-Reach Software Vulnerabilities through the Target-Oriented Hybrid Fuzzer

Toward Unbiased Multiple-Target Fuzzing with Path Diversity


A random forest

High-Dimensional Materials and Process Optimization Using Data-Driven Experimental Design with Well-Calibrated Uncertainty Estimates

Integrating materials and manufacturing innovation

Overcoming data scarcity with transfer learning

The Materials Simulation Toolkit for Machine learning (MAST-ML): An automated open source toolkit to accelerate data-driven materials research

Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design

By how much can closed-loop frameworks accelerate computational materials discovery?

Multivariate prediction intervals for bagged models

Machine Learning: Science and Technology


AgentVerse  is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation

MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

Cognitive Architectures for Language Agents

AutoAgents: A Framework for Automatic Agent Generation

AI for social science and social science of AI: A Survey

LLM As DBA

D-Bot: Database Diagnosis System using Large Language Models


MATLAB toolbox for Brain-Computer Interfacing (BCI)

Simultaneous acquisition of EEG and NIRS during cognitive tasks for an open access dataset

A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity

A Ternary Hybrid EEG-NIRS Brain-Computer Interface for the Classification of Brain Activation Patterns during Mental Arithmetic, Motor Imagery, and Idle State

Open-Access fNIRS Dataset for Classification of Unilateral Finger- and Foot-Tapping

Toward a compact hybrid brain-computer interface (BCI): Performance evaluation of multi-class hybrid EEG-fNIRS BCIs with limited number of channels

Subject-Independent Functional Near-Infrared Spectroscopy-Based Brain–Computer Interfaces Based on Convolutional Neural Networks

Improvement of Information Transfer Rates Using a Hybrid EEG-NIRS Brain-Computer Interface with a Short Trial Length: Offline and Pseudo-Online Analyses

Real-time inference of word relevance from electroencephalogram and eye gaze

Mobile BCI dataset of scalp- and ear-EEGs with ERP and SSVEP paradigms while standing, walking, and running

Performance Improvement of Near-Infrared Spectroscopy-Based Brain-Computer Interface Using Regularized Linear Discriminant Analysis Ensemble Classifier Based on Bootstrap Aggregating


Fast spike sorting with drift correction for up to a thousand channels

Chronically-implanted Neuropixels probes enable high yield recordings in freely moving mice

A midbrain-thalamus-cortex circuit reorganizes cortical dynamics to initiate movement

SpikeForest, reproducible web-facing ground-truth validation of automated neural spike sorters

Behavioral origin of sound-evoked activity in mouse visual cortex

Multimodal determinants of phase-locked dynamics across deep-superficial hippocampal sublayers during theta oscillations

Robust information routing by dorsal subiculum neurons

The orbitofrontal cortex maps future navigational goals

MEArec: A Fast and Customizable Testbench Simulator for Ground-truth Extracellular Spiking Activity

Disrupting cortico-cerebellar communication impairs dexterity

Reconciling functional differences in populations of neurons recorded with two-photon imaging and electrophysiology


Software synthesizer based on the SoundFont 2 specifications

Foley Music: Learning to Generate Music from Videos

Video Background Music Generation: Dataset, Method and Evaluation

ERNIE-Music: Text-to-Waveform Music Generation with Diffusion Models

Downbeat Tracking with Tempo-Invariant Convolutional Neural Networks

MidiCaps: A large-scale MIDI dataset with text captions


A collaboration friendly studio for NeRFs

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

Nerfstudio: A Modular Framework for Neural Radiance Field Development

NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads

INITIAL ASSESSMENT ON THE USE OF STATE-OF-THE-ART NERF NEURAL NETWORK 3D RECONSTRUCTION FOR HERITAGE DOCUMENTATION

The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences


Representation Learning of Knowledge Graphs with Entity Descriptions (AAAI'16)

THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE

Knowledge Graph Representation with Jointly Structural and Textual Encoding

Accurate Text-Enhanced Knowledge Graph Representation Learning

North American Chapter of the Association for Computational Linguistics

Text-Graph Enhanced Knowledge Graph Representation Learning


Code for my PhD thesis. Library of quantization-based methods for fast similarity search in high dimensions. Presented at ECCV 18.

Stacked Quantizers for Compositional Vector Compression

LSQ++: Lower Running Time and Higher Recall in Multi-codebook Quantization

Composite Quantization


Deep Reinforcement Learning for de-novo Drug Design

Deep reinforcement learning for de novo drug design

Advances of Artificial Intelligence in Anti-Cancer Drug Design: A Review of the Past Decade

Computational anti-COVID-19 drug design: progress and challenges

Molecular guidelines for promising antimicrobial agents

S-REINFORCE: A Neuro-Symbolic Policy Gradient Approach for Interpretable Reinforcement Learning


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

N6-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


LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

YOLOv3: An Incremental Improvement

Image-to-Image Translation with Conditional Adversarial Networks

DenseFuse: A Fusion Approach to Infrared and Visible Images

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Pedestrian Detection in Low-Light Conditions: A Comprehensive Survey


Resources for the "SummEval: Re-evaluating Summarization Evaluation" paper

Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation

How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization?

Human Evaluation and Correlation with Automatic Metrics in Consultation Note Generation

Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand

Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation

Don't Say What You Don't Know: Improving the Consistency of Abstractive Summarization by Constraining Beam Search

Multi-Dimensional Evaluation of Text Summarization with In-Context Learning

Investigating Entropy for Extractive Document Summarization

ALLURE: Auditing and Improving LLM-based Evaluation of Text using Iterative In-Context-Learning


Interfacing RDKit and AutoDock

A Force Field with Discrete Displaceable Waters and Desolvation Entropy for Hydrated Ligand Docking

D3R Grand Challenge 4: prospective pose prediction of BACE1 ligands with AutoDock-GPU

Journal of computer-aided molecular design

In silico and in vitro studies of potential inhibitors against Dengue viral protein NS5 Methyl Transferase from Ginseng and Notoginseng

Journal of traditional and complementary medicine

Pharmacophore Modeling Using Machine Learning for Screening the Blood–Brain Barrier Permeation of Xenobiotics

International journal of environmental research and public health

Performance evaluation of flexible macrocycle docking in AutoDock

From Static to Dynamic Structures: Improving Binding Affinity Prediction with a Graph-Based Deep Learning Model

Synthesis of Pyrrolo[3,4-b]pyridin-5-ones via Ugi–Zhu Reaction and In Vitro–In Silico Studies against Breast Carcinoma

In Silico Analysis of the Structural Dynamics and Substrate Recognition Determinants of the Human Mitochondrial Carnitine/Acylcarnitine SLC25A20 Transporter

Zenodo (CERN European Organization for Nuclear Research)

Natural 2′,4-Dihydroxy-4′,6′-dimethoxy Chalcone Isolated from Chromolaena tacotana Inhibits Breast Cancer Cell Growth through Autophagy and Mitochondrial Apoptosis

Targeting MDM2–p53 Axis through Drug Repurposing for Cancer Therapy: A Multidisciplinary Approach


Benchmarking various AD tools.

A Benchmark of Selected Algorithmic Differentiation Tools on Some Problems in Computer Vision and Machine Learning

AD for an Array Language with Nested Parallelism

Hashing Modulo Alpha-Equivalence


Bioconductor facilities for parallel evaluation

The Inflammatory Bowel Disease Transcriptome and Metatranscriptome Meta-Analysis (IBD TaMMA) framework

Comprehensive analysis of long noncoding RNA expression in dorsal root ganglion reveals cell-type specificity and dysregulation after nerve injury

Egr2 and 3 control inflammation, but maintain homeostasis, of PD-1high memory phenotype CD4 T cells

Identifying Differentially Expressed Genes of Zero Inflated Single Cell RNA Sequencing Data Using Mixed Model Score Tests


Surrogate Modeling Toolbox

Gradient-enhanced kriging for high-dimensional problems

Implicit differentiation of Lasso-type models for hyperparameter optimization

SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes

Deep Gaussian Process Emulation using Stochastic Imputation

Effectively using multifidelity optimization for wind turbine design

A mixed-categorical correlation kernel for Gaussian process

Large-Scale Path-Dependent Optimization of Supersonic Aircraft

Optimization of Fiber Orientation Model Parameters in the Presence of Flow-Fiber Coupling

Aerostructural Wing Optimization of a Regional Jet Considering Mission Fuel Burn

High-dimensional multidisciplinary design optimization for aircraft
  eco-design / Optimisation multi-disciplinaire en grande dimension pour
  l'éco-conception avion en avant-projet


Fast and flexible reference benchmarks

On Provable Copyright Protection for Generative Models

Feature-Learning Networks Are Consistent Across Widths At Realistic Scales

MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining

Quantized Distributed Training of Large Models with Convergence Guarantees

German FinBERT: A German Pre-trained Language Model


Turn time-tag spectral data into lightcurves

Unveiling the white dwarf in J191213.72-441045.1 through ultraviolet observations

Monthly notices of the Royal Astronomical Society

The high energy spectrum of Proxima Centauri simultaneously observed at X-ray and FUV wavelengths

A transient ultraviolet outflow in the short-period X-ray binary UW CrB


Incorporating BERT into Neural Machine Translation

Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction

Neural Inverse Text Normalization

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

Chinese Grammatical Correction Using BERT-based Pre-trained Model

Probing Multi-modal Machine Translation with Pre-trained Language Model

Meeting of the Association for Computational Linguistics

LIMSI @ WMT 2020

Empirical Methods in Natural Language Processing

Pretrained Language Models and Backtranslation for English-Basque Biomedical Neural Machine Translation

FJWU participation for the WMT20 Biomedical Translation Task

Integrating Pre-trained Language Model into Neural Machine Translation


Multi-view Diffusion for 3D Generation

MVDream: Multi-view Diffusion for 3D Generation

UniDream: Unifying Diffusion Priors for Relightable Text-to-3D Generation

GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation


Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch

Video Diffusion Models

Empowering Dynamics-aware Text-to-Video Diffusion with Large Language Models

Real-time Inference and Extrapolation via a Diffusion-inspired Temporal Transformer Operator (DiTTO)

SSM Meets Video Diffusion Models: Efficient Long-Term Video Generation with Structured State Spaces

IRASim: Learning Interactive Real-Robot Action Simulators


A machine learning toolkit for log-based anomaly detection [ISSRE'16]

Anomaly Detection using Autoencoders in High Performance Computing Systems

THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Log-based Anomaly Detection Without Log Parsing

Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection

Explainable AI: Using Shapley Value to Explain Complex Anomaly Detection ML-Based Systems

Machine Learning and Artificial Intelligence

A Comprehensive Survey of Logging in Software: From Logging Statements Automation to Log Mining and Analysis

Leveraging Log Instructions in Log-based Anomaly Detection

LogLead -- Fast and Integrated Log Loader, Enhancer, and Anomaly Detector

Speed and Performance of Parserless and Unsupervised Anomaly Detection Methods on Software Logs


STIX data representing MITRE ATT&CK

Towards automation of threat modeling based on a semantic model of attack patterns and weaknesses

Enhancing the STIX Representation of MITRE ATT&CK for Group Filtering and Technique Prioritization

Attackers reveal their arsenal: An investigation of adversarial techniques in CTI reports


ReCiter: an enterprise open source author disambiguation system for academic institutions

Research evaluation support services in biomedical libraries

Journal of the Medical Library Association JMLA

ReCiter: An open source, identity-driven, authorship prediction algorithm optimized for academic institutions

Leveraging Wikidata to Build Scholarly Profiles as Service

KULA: Knowledge Creation, Dissemination, and Preservation Studies


query stats of infected coronavirus cases

Unexpected positive correlation between human development index and risk of infections and deaths of COVID-19 in Italy

An epidemiological forecast model and software assessing interventions on the COVID-19 epidemic in China

Assessing the Impact and Quality of Research Data Using Altmetrics and Other Indicators

Dynamics of epidemic diseases without guaranteed immunity

COVID-19 in a social reinsurance framework: Forewarned is forearmed

Data-driven analysis of the simulations of the spread of COVID-19 under different interventions of China


Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization

Larq: An Open-Source Library for Training Binarized Neural Networks

A comprehensive review of Binary Neural Network

Towards adversarial robustness with 01 loss neural networks

YFlows: Systematic Dataflow Exploration and Code Generation for Efficient Neural Network Inference using SIMD Architectures on CPUs


A Python package for flavour physics phenomenology in the Standard model and beyond

The Belle II Physics Book

Progress of Theoretical and Experimental Physics

flavio: a Python package for flavour and precision phenomenology in the Standard Model and beyond

Rare b decays meet high-mass Drell-Yan

Anatomy of
    ε '/ε
 ε ′ / ε beyond the standard model

Anomalies in B mesons decays: a phenomenological approach

Anomalies in B mesons decays: Present status and future collider prospects


Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning

Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Regularizing Meta-Learning via Gradient Dropout

Fast Adaptation with Meta-Reinforcement Learning for Trust Modelling in Human-Robot Interaction

Unsupervised Reinforcement Learning in Multiple Environments

p-Meta: Towards On-device Deep Model Adaptation

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

On the Practical Consistency of Meta-Reinforcement Learning Algorithms

PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations

Dynamic Subgoal-based Exploration via Bayesian Optimization


This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality

Unsupervised Out-of-Distribution Detection with Diffusion Inpainting

Revisiting Discriminative vs. Generative Classifiers: Theory and Implications

Continual Learners are Incremental Model Generalizers

Accelerating Vision Transformer Training via a Patch Sampling Schedule

A Deep Learning Approach Using Masked Image Modeling for Reconstruction of Undersampled K-spaces


Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"

Is Conditional Generative Modeling all you need for Decision-Making?

AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners

Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning

MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL

Guided Flows for Generative Modeling and Decision Making

Diffusion World Model

Simple Hierarchical Planning with Diffusion

DiffuserLite: Towards Real-time Diffusion Planning

Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans


Specification language for generating Generalized Linear Models (with or without mixed effects) from conceptual models

Tisane: Authoring Statistical Models via Formal Reasoning from Conceptual and Data Relationships

PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22)


UCCA Documentation

Refining Implicit Argument Annotation for UCCA

Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics

UCCA's Foundational Layer: Annotation Guidelines v2.1

SemEval 2019 Shared Task: Cross-lingual Semantic Parsing with UCCA - Call for Participation


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


De novo genome assembler for long uncorrected reads

Raven: a de novo genome assembler for long reads

MicroPIPE: validating an end-to-end workflow for high-quality complete bacterial genome construction

Optimising genomic approaches for identifying vancomycin-resistant Enterococcus faecium transmission in healthcare settings

De novosequencing, diploid assembly, and annotation of the black carpenter ant,Camponotus pennsylvanicus, and its symbionts by one person for $1000, using nanopore sequencing

Natural Horizontal Gene Transfer of Antimicrobial Resistance Genes in Campylobacter spp. From Turkeys and Swine

A step forward for Shiga toxin-producing Escherichia coli identification and characterization in raw milk using long-read metagenomics

Highly conserved composite transposon harbouring aerobactin iuc3 in Klebsiella pneumoniae from pigs

Complete Genome Sequence of Staphylococcus aureus PS/BAC/169/17/W, Isolated from a Contaminated Platelet Concentrate in England

Chromosomal integration and plasmid fusion occurring in ST20 carbapenem-resistant Klebsiella pneumoniae isolates coharboring blaNDM-1 and blaIMP-4 induce resistance transmission and fitness variation

Chimaeribacter arupi a new member of the Yersineacea family has the characteristics of a human pathogen

Frontiers in cellular and infection microbiology


Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

Explainable AI Methods - A Brief Overview

Toward Explainable AI for Regression Models

Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy

Optimizing Explanations by Network Canonization and Hyperparameter Search

Explainable audio Classification of Playing Techniques with Layer-wise Relevance Propagation

IEEE International Conference on Acoustics, Speech, and Signal Processing

The Clever Hans Effect in Unsupervised Learning


TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"

Adversarial Examples for Models of Code

Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations

SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

A Literature Study of Embeddings on Source Code

Testing Neural Program Analyzers

The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches

On using distributed representations of source code for the detection of C security vulnerabilities

A Source Code Similarity Based on Siamese Neural Network

Using Distributed Representation of Code for Bug Detection

Negative Results of Fusing Code and Documentation for Learning to Accurately Identify Sensitive Source and Sink Methods : An Application to the Android Framework for Data Leak Detection


This repository contains code and datasets related to entity/knowledge papers from the VERT (Versatile Entity Recognition & disambiguation Toolkit) project, by the Knowledge Computing group at Microsoft Research Asia (MSRA).

Few-NERD: A Few-Shot Named Entity Recognition Dataset

CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition

GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition

Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources

Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language

Decomposed Meta-Learning for Few-Shot Named Entity Recognition

UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data

AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER

Prompt-Based Metric Learning for Few-Shot NER

Time for aCTIon: Automated Analysis of Cyber Threat Intelligence in the Wild


Pipeline for reducing JWST high-contrast imaging data. Published in Kammerer et al. 2022 and Carter et al. 2022.

The JWST Early Release Science Program for Direct Observations of Exoplanetary Systems I: High-contrast Imaging of the Exoplanet HIP 65426 b from 2 to 16 μm

Performance of near-infrared high-contrast imaging methods with JWST from commissioning

JWST-TST High Contrast: Asymmetries, Dust Populations, and Hints of a Collision in the β Pictoris Disk with NIRCam and MIRI

JWST-TST High Contrast: Achieving direct spectroscopy of faint substellar companions next to bright stars with the NIRSpec IFU

JWST-TST High Contrast: JWST/NIRCam Observations of the Young Giant Planet β Pic b


VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP

AMGCL: An Efficient, Flexible, and Extensible Algebraic Multigrid Implementation

Programming CUDA and OpenCL: A Case Study Using Modern C++ Libraries

QSL Squasher: A Fast Quasi-separatrix Layer Map Calculator

A Performance Comparison of Sort and Scan Libraries for GPUs

Pipelined Iterative Solvers with Kernel Fusion for Graphics Processing Units

ACM Transactions on Mathematical Software

Application the particle method in problems of mechanics deformable media

IOP Conference Series: Materials Science and Engineering

Solving large number of non-stiff, low-dimensional ordinary differential equation systems on GPUs and CPUs: performance comparisons of MPGOS, ODEINT and DifferentialEquations.jl

OpenCL Actors – Adding Data Parallelism to Actor-Based Programming with CAF

PROGRAMMING WITH ACTORS: STATE-OF-THE-ART AND RESEARCH PERSPECTIVES

cf4ocl: A C framework for OpenCL

Modeling of deformation of ground media on the basis of the particle method in a two-dimensional formulation

WINTER SCHOOL ON CONTINUOUS MEDIA MECHANICS


Facilitating the design, comparison and sharing of deep text matching models.

Hierarchical Poset Decoding for Compositional Generalization in Language

Interpreting Neural Ranking Models using Grad-CAM

Utilizing BERT for Information Retrieval: Survey, Applications, Resources, and Challenges


Source code of openLCA


Explaining the output of machine learning models with more accurately estimated Shapley values

Explaining individual predictions when features are dependent: More accurate approximations to Shapley values

SurvSHAP(t): Time-dependent explanations of machine learning survival models

Accelerating materials-space exploration for thermal insulators by mapping materials properties via artificial intelligence

groupShapley: Efficient prediction explanation with Shapley values for feature groups


Fast & scalable MCMC for all your exoplanet needs!

A planet within the debris disk around the pre-main-sequence star AU Microscopii

'exoplanet': Gradient-based probabilistic inference for exoplanet data & other astronomical time series

Analytic Planetary Transit Light Curves and Derivatives for Stars with Polynomial Limb Darkening

EXOFASTv2: A public, generalized, publication-quality exoplanet modeling code

Statistical analysis of Curiosity data shows no evidence for a strong seasonal cycle of martian methane

The Dark World: A Tale of WASP-43b in Reflected Light with HST WFC3/UVIS

A Fast, Two-dimensional Gaussian Process Method Based on Celerite: Applications to Transiting Exoplanet Discovery and Characterization

MCMCI: A code to fully characterise an exoplanetary system

SPInS, a pipeline for massive stellar parameter inference: A public Python tool to age-date, weigh, size up stars, and more

Giant Outer Transiting Exoplanet Mass (GOT 'EM) Survey. I. Confirmation of an Eccentric, Cool Jupiter with an Interior Earth-sized Planet Orbiting Kepler-1514


Athena++ radiation GRMHD code and adaptive mesh refinement (AMR) framework

The Launching of Cosmic Ray Driven Outflows

The Athena++ Adaptive Mesh Refinement Framework: Multigrid Solvers for Self-gravity

The Evolution of Accreting Binaries: From Brown Dwarfs to Supermassive Black Holes

Dust ring and gap formation by gas flow induced by low-mass planets embedded in protoplanetary disks

Spin of protoplanets generated by pebble accretion: Influences of protoplanet-induced gas flow

Implementation of chemistry in the Athena++ code

Effects of planetary day-night temperature gradients on He 1083 nm transit spectra

The Optically Thick Rotating Magnetic Wind from a Massive White Dwarf Merger Product. II. Axisymmetric Magnetohydrodynamic Simulations

Analytic description of the gas flow around planets embedded in protoplanetary disks

Amplification and Saturation of Turbulent Magnetic Fields in Collapsing Primordial Gas Clouds


Implementation of CoAP Server & Client in Go

Investigating Messaging Protocols for the Internet of Things (IoT)

CoAP-Based Streaming Control for IoT Applications

Agent-Based In-Vehicle Infotainment Services in Internet-of-Things Environments


A CNI meta-plugin for multi-homed pods in Kubernetes

A Comprehensive Feature Comparison Study of Open-Source Container Orchestration Frameworks

SDN-Based Network Slicing Mechanism for a Scalable 4G/5G Core Network: A Kubernetes Approach

Architecture Integration of 5G Networks and Time-Sensitive Networking with Edge Computing for Smart Manufacturing

KuberneTSN: a Deterministic Overlay Network for Time-Sensitive Containerized Environments

Megalos: A Scalable Architecture for the Virtualization of Large Network Scenarios

Efficient Network Slicing with SDN and Heuristic Algorithm for Low Latency Services in 5G/B5G Networks

kube-volttron: Rearchitecting the VOLTTRON Building Energy Management System for Cloud Native Deployment


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


Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Diffusion Model Alignment Using Direct Preference Optimization

SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with
  Auto-Generated Data


A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'

The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes

Towards Efficient and Effective Self-Supervised Learning of Visual Representations

Backdoor Contrastive Learning via Bi-level Trigger Optimization

InfoNCE: Identifying the Gap Between Theory and Practice


RL Environments in JAX

Discovering Evolution Strategies via Meta-Black-Box Optimization

VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning

Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization

JaxMARL: Multi-Agent RL Environments in JAX

Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX

Large Language Models As Evolution Strategies

Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning

XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX

Scaling Opponent Shaping to High Dimensional Games

JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading


Open MatSci ML Toolkit is a framework for prototyping and scaling out deep learning models for materials discovery supporting widely used materials science datasets, and built on top of PyTorch Lightning, the Deep Graph Library, and PyTorch Geometric.

Directional Message Passing for Molecular Graphs

Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations

The Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in Materials Science

MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling

Deep Graph Library Optimizations for Intel(R) x86 Architecture


Tools for working with BUS files

Modular, efficient and constant-memory single-cell RNA-seq preprocessing

IL-1-driven stromal–neutrophil interactions define a subset of patients with inflammatory bowel disease that does not respond to therapies

Evaluation of STAR and Kallisto on Single Cell RNA-Seq Data Alignment

Protocol for fast scRNA-seq raw data processing using scKB and non-arbitrary quality control with COPILOT

Addressing the pooled amplification paradox with unique molecular identifiers in single-cell RNA-seq

BUSZ: compressed BUS files


Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation

A Contextual-Bandit Approach to Personalized News Article Recommendation

Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation

CIKM - LogUCB: an explore-exploit algorithm for comments recommendation

International Conference on Information and Knowledge Management

Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model

Off-Policy Evaluation for Large Action Spaces via Embeddings

Evaluating the Robustness of Off-Policy Evaluation

Policy-Adaptive Estimator Selection for Off-Policy Evaluation

Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling

Off-Policy Evaluation of Ranking Policies under Diverse User Behavior

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Practical Bandits: An Industry Perspective


Correctly generate plurals, ordinals, indefinite articles; convert numbers to words

Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention

Development of a Benchmark Corpus to Support Entity Recognition in Job Descriptions

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


Norwegian Earth System Model and Documentation

Supplementary material to "Model evaluation of short-lived climate forcers for the Arctic Monitoring and Assessment Programme: a multi-species, multi-model study"

Implementing a sectional scheme for early aerosol growth from new particle formation in the Norwegian Earth System Model v2: comparison to observations and climate impacts

Simulated Cycles of East Asian Temperature and Precipitation Over the Past 425 ka

Zenodo (CERN European Organization for Nuclear Research)

On the emission-path dependency of the efficiency of ocean alkalinity enhancement


A Proof-oriented Programming Language

Dijkstra Monads for All

Aeneas: Rust verification by functional translation

Proceedings of the ACM on programming languages

A monadic framework for relational verification: applied to information security, program equivalence, and optimizations

Giallar: push-button verification for the qiskit Quantum compiler

WYS*: A DSL for Verified Secure Multi-party Computations

Verification of a Merkle Patricia Tree Library Using F*

How to Safely Use Extensionality in Liquid Haskell

Identifying Overly Restrictive Matching Patterns in SMT-based Program Verifiers (Extended Version)


A cloud-native vector database, storage for next generation AI applications

Billion-scale similarity search with GPUs

Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs

Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph

Milvus: A Purpose-Built Vector Data Management System

SIGMOD '21: PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Polysemous codes

Manu: A Cloud Native Vector Database Management System

Navigable Proximity Graph-Driven Native Hybrid Queries with Structured and Unstructured Constraints

Domain-specific ChatBots for Science using Embeddings


Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.

Ring Attention with Blockwise Transformers for Near-Infinite Context

PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training

DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

Long Context Transfer from Language to Vision

Scaling Granite Code Models to 128K Context


A framework for serving and evaluating LLM routers - save LLM costs without compromising quality!

Measuring Massive Multitask Language Understanding

Training Verifiers to Solve Math Word Problems

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

RouteLLM: Learning to Route LLMs with Preference Data


A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Hierarchical Graph Representation Learning with Differentiable Pooling

Deep Learning on Graphs: A Survey

M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification

IEEE Transactions on Network Science and Engineering

State of the Art and Potentialities of Graph-level Learning

The Impact of Global Structural Information in Graph Neural Networks Applications

International Conference on Data Technologies and Applications

Contrastive Graph Few-Shot Learning

Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders

A Systematic Review of Deep Graph Neural Networks: Challenges, Classification, Architectures, Applications & Potential Utility in Bioinformatics


PyTorch implementation of Glow

Glow: Generative Flow with Invertible 1x1 Convolutions

Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View

Latent Space Smoothing for Individually Fair Representations

Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark

Diffeomorphic Counterfactuals with Generative Models

NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems

An Algorithm for Out-Of-Distribution Attack to Neural Network Encoder

Positive Difference Distribution for Image Outlier Detection using Normalizing Flows and Contrastive Data

AmbientFlow: Invertible generative models from incomplete, noisy measurements


Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)

Pix2seq: A Language Modeling Framework for Object Detection

Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

A Unified Sequence Interface for Vision Tasks

On the Importance of Noise Scheduling for Diffusion Models

A Generalist Framework for Panoptic Segmentation of Images and Videos

Scalable Adaptive Computation for Iterative Generation

FIT: Far-reaching Interleaved Transformers


Python 2D rectangle packing library

A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks

HPC Extensions to the OpenKIM Processing Pipeline


A python library that extracts data from various Starcraft II resources to power tools and services for the SC2 community.  Who doesn't want to hack on the games they play?

Attention Does Not Affect the Speed of Subjective Time, but Whether Temporal Information Guides Performance: A Large-Scale Study of Intrinsically Motivated Timers in a Real-Time Strategy Game

Learning to Identify Rush Strategies in StarCraft

Identifying Rush Strategies Employed in StarCraft II Using Support Vector Machines


DiTing: A pipeline to infer and compare biogeochemical pathways in metagenomic data

DiTing: A Pipeline to Infer and Compare Biogeochemical Pathways from Metagenomic and Metatranscriptomic Data

Insights into the Vertical Stratification of Microbial Ecological Roles across the Deepest Seawater Column on Earth

Phylogenetically and metabolically diverse autotrophs in the world’s deepest blue hole


Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

Perceiver: General Perception with Iterative Attention

Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks

Perceiver IO: A General Architecture for Structured Inputs & Outputs

Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation

Neural Attentive Circuits

Reading Between the Frames: Multi-Modal Depression Detection in Videos from Non-Verbal Cues

MM-AU:Towards Multimodal Understanding of Advertisement Videos

Better Modeling Out-of-Distribution Regression on Distributed Acoustic Sensor Data Using Anchored Hidden State Mixup

IEEE Transactions on Industrial Informatics

Stochastic Optimal Control for Diffusion Bridges in Function Spaces


Voice Conversion Tool Kit

The Voice Conversion Challenge 2018: Promoting Development of Parallel and Nonparallel Methods

ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion

Preech: A System for Privacy-Preserving Speech Transcription

Many-to-Many Voice Transformer Network

Nonparallel Voice Conversion With Augmented Classifier Star Generative Adversarial Networks

When Automatic Voice Disguise Meets Automatic Speaker Verification

Voice Conversion with Conditional SampleRNN

FastS2S-VC: Streaming Non-Autoregressive Sequence-to-Sequence Voice Conversion

Time Alignment using Lip Images for Frame-based Electrolaryngeal Voice Conversion


OpenAQ API


An annotated implementation of the Transformer paper.

Attention Is All You Need

The Annotated Transformer

Proceedings of Workshop for NLP Open Source Software (NLP-OSS)

Recursive Graphical Neural Networks for Text Classification


Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

Heterogeneous Graph Transformer

Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey

DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks

xFraud: Explainable Fraud Transaction Detection

OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services

Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks


A toolbox for working with Allen Human Brain Atlas microarray expression data

Standardizing workflows in imaging transcriptomics with the abagen toolbox

Differences in subcortico-cortical interactions identified from connectome and microcircuit models in autism

An expanding manifold in transmodal regions characterizes adolescent reconfiguration of structural connectome organization

Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment

Connectivity alterations in autism reflect functional idiosyncrasy

Brain atrophy progression in Parkinson’s disease is shaped by connectivity and local vulnerability

A dynamic gradient architecture generates brain activity states

Revealing the neurobiology underlying interpersonal neural synchronization with multimodal data fusion

The regional variation of laminar thickness in the human isocortex is related to cortical hierarchy and interregional connectivity

Structural Features of the Human Connectome That Facilitate the Switching of Brain Dynamics via Noradrenergic Neuromodulation


An application for streaming one or more LSL streams to disk in XDF file format.

Pocketable Labs for Everyone: Synchronized Multi-Sensor Data Streaming and Recording on Smartphones with the Lab Streaming Layer

NeuMa - the absolute Neuromarketing dataset en route to an holistic understanding of consumer behaviour

Investigating the attentional focus to workplace-related soundscapes in a complex audio-visual-motor task using EEG

Sound perception in realistic surgery scenarios: Towards EEG-based auditory work strain measures for medical personnel

The Impact of Various Cockpit Display Interfaces on Novice Pilots’ Mental Workload and Situational Awareness: A Comparative Study

Effects of Intermittent Hypoxia and Electrical Muscle Stimulation on Cognitive and Physiological Metrics

Synchronization of ear-EEG and audio streams in a portable research hearing device


Detection of differential RNA modifications from direct RNA sequencing of human cell lines

Crosstalk between m6A and coding/non-coding RNA in cancer and detection methods of m6A modification residues

Analysis approaches for the identification and prediction of N6-methyladenosine sites

xPore: Identification of differential RNA modifications from nanopore direct RNA sequencing


The General Game Playing Base Package

Ludii -- The Ludemic General Game System

Ludii as a Competition Platform

An Empirical Evaluation of Two General Game Systems: Ludii and RBG

Enhancing Playout Policy Adaptation for General Game Playing

Data Archiving and Networked Services (DANS)


A Platform for Many-Agent Reinforcement Learning

MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence

Learning Structured Communication for Multi-agent Reinforcement Learning

Overview of Software Agent Platforms Available in 2023

Strategic Interaction Multi-Agent Deep Reinforcement Learning

Dealing with Non-Stationarity in MARL via Trust-Region Decomposition

A survey of benchmarks for reinforcement learning algorithms

NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios

Variational Policy Propagation for Multi-agent Reinforcement Learning

Diverse Policy Optimization for Structured Action Space


BASiCS: Bayesian Analysis of Single-Cell Sequencing Data. This is an unstable experimental version. Please see http://bioconductor.org/packages/BASiCS/ for the official release version

SCnorm: robust normalization of single-cell RNA-seq data

Toward uncharted territory of cellular heterogeneity: advances and applications of single-cell RNA-seq

Journal of translational genetics and genomics

Robust expression variability testing reveals heterogeneous T cell responses

Data normalization for addressing the challenges in the analysis of single-cell transcriptomic datasets


egg is a flexible, high-performance e-graph library

egg: Fast and extensible equality saturation

Searching entangled program spaces

Version Space Algebras are Acyclic Tree Automata

MCTS-GEB: Monte Carlo Tree Search is a Good E-graph Builder

Automated Code Optimization with E-Graphs