Python MCMC Sampler

ON CORRELATED-NOISE ANALYSES APPLIED TO EXOPLANET LIGHT CURVES

The Implications of 3D Thermal Structure on 1D Atmospheric Retrieval

Signs of strong Na and K absorption in the transmission spectrum of WASP-103b

Near-ultraviolet Transmission Spectroscopy of HD 209458b: Evidence of Ionized Iron Beyond the Planetary Roche Lobe

An Open-Source Bayesian Atmospheric Radiative Transfer (BART) Code: I. Design, Tests, and Application to Exoplanet HD 189733 b

PyTranSpot: A tool for multiband light curve modeling of planetary transits and stellar spots

The Hubble PanCET Program: A Metal-rich Atmosphere for the Inflated Hot Jupiter HAT-P-41b

An Open-source Bayesian Atmospheric Radiative Transfer (BART) Code. III. Initialization, Atmospheric Profile Generator, Post-processing Routines

Characterizing Exoplanet Atmospheres: From Light-curve Observations to Radiative-transfer Modeling

Observations, Thermochemical Calculations, and Modeling of Exoplanetary Atmospheres


VisDA: The Visual Domain Adaptation Challenge

Cycle Self-Training for Domain Adaptation

BP-Triplet Net for Unsupervised Domain Adaptation: A Bayesian Perspective

SALAD : Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection

Train/Test-Time Adaptation with Retrieval


Accompanying repo for the RLPrompt paper

RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning

TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling

Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker

Preference-grounded Token-level Guidance for Language Model Fine-tuning

Efficient Prompting Methods for Large Language Models: A Survey


Political Science Computational Laboratory

No evidence for negative impacts of acute sulfoxaflor exposure on bee olfactory conditioning or working memory

Gene Co-occurrence Networks Reflect Bacteriophage Ecology and Evolution

Alcohol use, cannabis use, and psychopathology symptoms among college students before and after COVID-19

Weapon-carrying and the Reduction of Violent Harm

Long-term woodland restoration on lowland farmland through passive rewilding

Beyond linear regression: A reference for analyzing common data types in discipline based education research

Physical Review Physics Education Research

Local attitudes toward Apennine brown bears: Insights for conservation issues

Thermal Summer Diurnal Hot-Spot Analysis: The Role of Local Urban Features Layers

Inhibitory Bacterial Diversity and Mucosome Function Differentiate Susceptibility of Appalachian Salamanders to Chytrid Fungal Infection

An assessment of trends in the frequency and duration of Karenia brevis red tide blooms on the South Texas coast (western Gulf of Mexico)


ULYSSES: Universal LeptogeneSiS Equation Solver

Primordial black hole evaporation and dark matter production. I. Solely Hawking radiation

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

Superradiant production of heavy dark matter from primordial black holes

Rescuing high-scale leptogenesis using primordial black holes

ULYSSES, universal LeptogeneSiS equation solver: Version 2

Non-thermal WIMPy baryogenesis with primordial black hole


A library for k-nearest neighbor search

ANN-Benchmarks: A Benchmarking Tool for Approximate Nearest Neighbor Algorithms

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

A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search

Optimization of Indexing Based on k-Nearest Neighbor Graph for Proximity Search in High-dimensional Data

A Revisit of Hashing Algorithms for Approximate Nearest Neighbor Search

High Dimensional Similarity Search with Satellite System Graph: Efficiency, Scalability, and Unindexed Query Compatibility

Approximate Nearest Neighbor Search on High Dimensional Data --- Experiments, Analyses, and Improvement (v1.0)

Flexible retrieval with NMSLIB and FlexNeuART

Fast Cosine Similarity Search in Binary Space with Angular Multi-Index Hashing

Large-Scale Visual Search with Binary Distributed Graph at Alibaba

PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19)


Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).

Cerebellar Contribution to Preparatory Activity in Motor Neocortex

Disrupting cortico-cerebellar communication impairs dexterity

Highly structured, partner-sex- and subject-sex-dependent cortical responses during social facial touch

Dynamics of the Cortico-Cerebellar Loop Fine-Tune Dexterous Movement

Inferring neural information flow from spiking data

Computational and structural biotechnology journal


All of my various bioinformatic scripts fit for public consumption (loosely defining "fit")

Thermogenic hydrocarbon biodegradation by diverse depth-stratified microbial populations at a Scotian Basin cold seep

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

Mixotrophy broadens the ecological niche range of the iron oxidizer Sideroxydans sp. CL21 isolated from an iron-rich peatland

Undocumented potential for primary productivity in a globally-distributed bacterial photoautotroph

MetaSanity: An integrated, customizable microbial genome evaluation and annotation pipeline

Three novel marine species of the genus Reichenbachiella exhibiting degradation of complex polysaccharides


Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition. This is a ServiceNow Research project that was started at Element AI.

HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery

HighRes-net: Multi-Frame Super-Resolution by Recursive Fusion

Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics & Losses.

Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties


A versatile tool to perform pile-up analysis on Hi-C data in .cool format.

Cooler: scalable storage for Hi-C data and other genomically-labeled arrays

Enhancer–promoter interactions and transcription are largely maintained upon acute loss of CTCF, cohesin, WAPL or YY1

Coolpup.py: versatile pile-up analysis of Hi-C data

Chromatin organizer SATB1 controls the cell identity of CD4+ CD8+ double-positive thymocytes by regulating the activity of super-enhancers

Ultra-long-range interactions between active regulatory elements

Multidimensional profiling reveals GATA1-modulated stage-specific chromatin states and functional associations during human erythropoiesis


Bagpipes is a state of the art code for generating realistic model galaxy spectra and fitting these to spectroscopic and photometric observations. Users should install with pip, not by cloning the repository.

Normal, dust-obscured galaxies in the epoch of reionization

New Observational H(z) Data from Full-spectrum Fitting of Cosmic Chronometers in the LEGA-C Survey

Probing the Nature of High-redshift Weak Emission Line Quasars: A Young Quasar with a Starburst Host Galaxy

An Extremely Compact, Low-mass Galaxy on its Way to Quiescence at z = 5.2

Lightning: An X-Ray to Submillimeter Galaxy SED-fitting Code with Physically Motivated Stellar, Dust, and AGN Models

High dust content of a quiescent galaxy at z ∼ 2 revealed by deep ALMA observation

Spectroscopic Confirmation of an Ultra-Massive Galaxy in a Protocluster
  at z ∼ 4.9


A C++ implementation of Jump Point Search on both 2D and 3D maps

MACE: Multi-Agent Autonomous Collaborative Exploration of Unknown Environments

Multirotor Planning in Dynamic Environments using Temporal Safe Corridors


Methods for Image-Based Cell Profiling

CellProfiler 3.0: Next-generation image processing for biology

A dataset of images and morphological profiles of 30 000 small-molecule treatments using the Cell Painting assay

RNA Interference (RNAi) Screening in Drosophila

FALCON systematically interrogates free fatty acid biology and identifies a novel mediator of lipotoxicity

bioRxiv : the preprint server for biology

BioProfiling.jl: profiling biological perturbations with high-content imaging in single cells and heterogeneous populations

In vitro neutrophil migration is associated with inhaled corticosteroid treatment and serum cytokines in pediatric asthma


Randomized Dimension Reduction Library

Sparse Principal Component Analysis via Variable Projection

Randomized Dynamic Mode Decomposition

SIAM Journal on Applied Dynamical Systems

Randomized Nonnegative Matrix Factorization

Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization

Scalable diagnostics for global atmospheric chemistry using Ristretto library (version 1.0)


Fuzz test your application using your OpenAPI or Swagger API definition without coding

Automated test generation for REST APIs: no time to rest yet

Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis

Testing RESTful APIs: A Survey

Empirical Comparison of Black-box Test Case Generation Tools for RESTful APIs

Open Problems in Fuzzing RESTful APIs: A Comparison of Tools

Automated Black-Box Testing of Mass Assignment Vulnerabilities in RESTful APIs

MINER: A Hybrid Data-Driven Approach for REST API Fuzzing

Testing Real-World Healthcare IoT Application: Experiences and Lessons Learned

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


MCFOST radiative transfer code

A likely flyby of binary protostar Z CMa caught in action

On the rise times in FU Orionis events

Monthly Notices of the Royal Astronomical Society: Letters

Sustained FU Orionis-type outbursts from colliding discs in stellar flybys

A kinematic excess in the annular gap and gas depleted cavity in the disc around HD 169142

Kinematic Structures in Planet-Forming Disks

Spectroscopic and interferometric signatures of magnetospheric accretion in young stars

Morphology of the gas-rich debris disk around HD 121617 with SPHERE observations in polarized light


Genetic neural architecture search with Keras

Scaling tree-based automated machine learning to biomedical big data with a feature set selector

Automated Machine Learning: State-of-The-Art and Open Challenges

Monarch Butterfly Optimization Based Convolutional Neural Network Design

Neural Architecture Search for 1D CNNs—Different Approaches Tests and Measurements

Evolutionary Design of Convolutional Neural Networks for Human Activity Recognition in Sensor-Rich Environments

Resource Usage and Performance Trade-offs for Machine Learning Models in Smart Environments

MONCAE: Multi-Objective Neuroevolution of Convolutional Autoencoders


An Open-Source Package for Information Retrieval

Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data

OpenMatch-v2: An All-in-one Multi-Modality PLM-based Information Retrieval Toolkit

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval


Datasets and tools for basic natural language processing.

Burmese Speech Corpus, Finite-State Text Normalization and Pronunciation Grammars with an Application to Text-to-Speech

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

Google Crowdsourced Speech Corpora and Related Open-Source Resources for Low-Resource Languages and Dialects: An Overview

FonBund: A Library for Combining Cross-lingual Phonological Segment Data

PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018)

Khmer Word Search: Challenges, Solutions, and Semantic-Aware Search


Random Integrators for many-body quantum systems

Improved walker population control for full configuration interaction quantum Monte Carlo

Magnetic impurity in a one-dimensional few-fermion system

Polaron-Depleton Transition in the Yrast Excitations of a One-Dimensional Bose Gas with a Mobile Impurity

Stochastic differential equation approach to understanding the population control bias in full configuration interaction quantum Monte Carlo


Permafrost models with a Basic Model Interface


InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond

From distributed machine learning to federated learning: a survey

Explainability of Vision Transformers: A Comprehensive Review and New Perspectives


A C++ Algorithmic Differentiation Package: Home Page

The SCIP Optimization Suite 8.0

Global optimization of mixed-integer nonlinear programs with SCIP 8

Ungar - A C++ Framework for Real-Time Optimal Control Using Template Metaprogramming

Computing eigenfrequency sensitivities near exceptional points


Landscape Metrics for Categorical Map Patterns  in R


:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

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

HuggingFace's Transformers: State-of-the-art Natural Language Processing

Unsupervised Cross-lingual Representation Learning at Scale

Revisiting Few-sample BERT Fine-tuning

German's Next Language Model

Evaluating the Robustness of Neural Language Models to Input Perturbations

GottBERT: a pure German Language Model

Bagging BERT Models for Robust Aggression Identification

Workshop on Trolling, Aggression and Cyberbullying

GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrieval

PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English Poetry


[ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl

Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures

Who Says Elephants Can't Run: Bringing Large Scale MoE Models into Cloud Scale Production

Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs

Ultrafast Focus Detection for Automated Microscopy

Certified SAT solving with GPU accelerated inprocessing

Efficiently Processing Large Relational Joins on GPUs


Speech Recognition using DeepSpeech2.

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

TED-LIUM 3: Twice as Much Data and Corpus Repartition for Experiments on Speaker Adaptation

SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems

Hear "No Evil", See "Kenansville": Efficient and Transferable Black-Box Attacks on Speech Recognition and Voice Identification Systems

MASR: A Modular Accelerator for Sparse RNNs

FrugalML: How to Use ML Prediction APIs More Accurately and Cheaply

Untangling in Invariant Speech Recognition

Recent Advances in End-to-End Spoken Language Understanding

Statistical Language and Speech Processing

Adversarial Auto-Encoding for Packet Loss Concealment

Revisiting BFloat16 Training


Official implementation of "Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform", ICCV 2021

Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform


Source code of the paper "Contextualized Embeddings based Transformer Encoder for Sentence Similarity Modeling in Answer Selection Task" published in LREC 2020.

Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications

PerCQA: Persian Community Question Answering Dataset


:exclamation: This is a read-only mirror of the CRAN R package repository.  MendelianRandomization — Mendelian Randomization Package

Proteome-wide Mendelian randomization implicates nephronectin as an actionable mediator of the effect of obesity on COVID-19 severity

Association of Fibroblast Growth Factor 23 With Ischemic Stroke and Its Subtypes: A Mendelian Randomization Study

Low Intelligence Predicts Higher Risks of Coronary Artery Disease and Myocardial Infarction: Evidence From Mendelian Randomization Study

A multivariable Mendelian randomization analysis disentangling the causal relations between abdominal obesity, non-alcoholic fatty liver disease and cardiometabolic diseases


Dataset Batch(offline) Reinforcement Learning for recommender system

Continuous control with deep reinforcement learning

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Off-Policy Deep Reinforcement Learning without Exploration

Top-K Off-Policy Correction for a REINFORCE Recommender System

Deep Reinforcement Learning for List-wise Recommendations


[CVPR 2018] Cross-View Image Synthesis using Conditional GANs, [CVIU 2019] Cross-view image synthesis using geometry-guided conditional GANs

Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation


Convergent Cross Mapping in Scikit Learn's style

Path Signature Area-Based Causal Discovery in Coupled Time Series

Delay Embedding Theory of Neural Sequence Models


U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging

U-Sleep's resilience to AASM guidelines

Quantifying the Impact of Data Characteristics on the Transferability of Sleep Stage Scoring Models


Single Image Super-Resolution from Transformed Self-Exemplars (CVPR 2015)

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

The Perception-Distortion Tradeoff

SROBB: Targeted Perceptual Loss for Single Image Super-Resolution

Multi-scale Xception based depthwise separable convolution for single image super-resolution

Robust Single-Image Super-Resolution via CNNs and TV-TV Minimization

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

Attentive Fine-Grained Structured Sparsity for Image Restoration

Single Image Super-Resolution via CNN Architectures and TV-TV Minimization

A Compact High-Quality Image Demosaicking Neural Network for Edge-Computing Devices

Dual Projection Fusion for Reference-Based Image Super-Resolution

Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks


Mapping Language to Code in a Programmatic Context

Mapping Language to Code in Programmatic Context

Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing

Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review

CoDesc: A Large Code-Description Parallel Dataset

Deep Learning Based Code Generation Methods: A Literature Review

Neural Machine Translation for Code Generation


A Python wrapper for the Hybrid Genetic Search algorithm for Capacitated Vehicle Routing Problems (HGS-CVRP)

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization

PyVRP: A High-Performance VRP Solver Package


Ultrafast TCR clustering algorithm based on geometric isometry

Can we predict T cell specificity with digital biology and machine learning?

GIANA allows computationally-efficient TCR clustering and multi-disease repertoire classification by isometric transformation

Analysis of T-Cell Receptor Repertoire in Transplantation: Fingerprint of T Cell-mediated Alloresponse


BiNE: Bipartite Network Embedding

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive

Bipartite Graph Embedding via Mutual Information Maximization

Signed Bipartite Graph Neural Networks

HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation

IEEE Transactions on Knowledge and Data Engineering

Learning Vertex Representations for Bipartite Networks

FOBE and HOBE: First- and High-Order Bipartite Embeddings

COIN: Co-Cluster Infomax for Bipartite Graphs

STERLING: Synergistic Representation Learning on Bipartite Graphs


Description and pointers of laion datasets

LAION-5B: An open large-scale dataset for training next generation image-text models

DataComp: In search of the next generation of multimodal datasets


Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction

A Frustratingly Easy Approach for Entity and Relation Extraction

A General Framework for Information Extraction using Dynamic Span Graphs

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

Autoregressive Structured Prediction with Language Models

A Multi-Gate Encoder for Joint Entity and Relation Extraction


A deep learning model for small molecule drug discovery and cheminformatics based on SMILES

Improving Small Molecule Generation using Mutual Information Machine

Explainability Techniques for Chemical Language Models

The Role of Model Architecture and Scale in Predicting Molecular
  Properties: Insights from Fine-Tuning RoBERTa, BART, and LLaMA


An accurate and ultra-fast hybrid genome assembler

HASLR: Fast Hybrid Assembly of Long Reads

Improved Methods for Acetocarmine and Haematoxylin Staining to Visualize Chromosomes in the Filamentous Green Alga Zygnema (Charophyta)

WENGAN: Efficient and high quality hybrid de novo assembly of human genomes

Bioinformatic Tools for NGS-Based Metagenomics to Improve the Clinical Diagnosis of Emerging, Re-Emerging and New Viruses


Recurrent & convolutional neural network modules

Rationalizing Neural Predictions

Molding CNNs for text: non-linear, non-consecutive convolutions

Semi-supervised Question Retrieval with Gated Convolutions

Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods

Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration

Explaining Deep Neural Networks

Rationalizing predictions by adversarial information calibration


PyTorch code for EMNLP 2020 Paper "Vokenization: Improving Language Understanding with Visual Supervision"

Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision

Contextual Word Representations: A Contextual Introduction

Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-modal Knowledge Transfer

LEMON: Lossless model expansion


Fine-tuning CLIP using ROCO dataset which contains image-caption pairs from PubMed articles.

Overcoming Data Limitation in Medical Visual Question Answering

Medical Visual Question Answering via Conditional Reasoning

MM '20: PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA

Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

PubMedCLIP: How Much Does CLIP Benefit Visual Question Answering in the Medical Domain?

Findings of the Association for Computational Linguistics: EACL 2023

EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images

Multimodal Prompt Retrieval for Generative Visual Question Answering

FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models


Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)

Universal Self-Adaptive Prompting

Instructing Large Language Models to Identify and Ignore Irrelevant Conditions


Warcraft II World Map Editor

Differentiation of Blackbox Combinatorial Solvers

Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions

Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities

Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models

Modified Gauss-Newton Algorithms under Noise


PyTorch implementation of Barlow Twins.

Barlow Twins: Self-Supervised Learning via Redundancy Reduction

Representational Continuity for Unsupervised Continual Learning

Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation

A Study of the Generalizability of Self-Supervised Representations

Continual Barlow Twins: Continual Self-Supervised Learning for Remote Sensing Semantic Segmentation

Rethinking the Representational Continuity: Towards Unsupervised Continual Learning.

Do We Really Need to Learn Representations from In-domain Data for Outlier Detection?

Blockwise Self-Supervised Learning at Scale

An Empirical Study on Disentanglement of Negative-free Contrastive Learning

Computer Vision Self-supervised Learning Methods on Time Series


Open-Source: Modular BMS based on LTC68XX & STM32 MCU for up to 400V EV battery pack


From annotated genomes to metabolic screening in large scale microbiotas

Metage2Metabo, microbiota-scale metabolic complementarity for the identification of key species

Bioinformatic approaches for studying the microbiome of fermented food

Metage2Metabo: metabolic complementarity applied to genomes of large-scale microbiotas for the identification of keystone species


Simple maze environments using mujoco-py

Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping

Walk the Random Walk: Learning to Discover and Reach Goals Without Supervision

Domain Adaptive Imitation Learning with Visual Observation


Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)

DreamTeacher: Pretraining Image Backbones with Deep Generative Models

3D-aware Blending with Generative NeRFs

Masked Diffusion as Self-supervised Representation Learner

Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models

Gradpaint: Gradient-Guided Inpainting with Diffusion Models


Diagnostic benchmark suite to explicitly test logical relational reasoning on natural language

CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text

Faithful Chain-of-Thought Reasoning

Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning

Learning Reasoning Strategies in End-to-End Differentiable Proving

Measuring Systematic Generalization in Neural Proof Generation with Transformers

Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text

Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs

Calibrating Large Language Models with Sample Consistency

Differentiable Reasoning over Long Stories -- Assessing Systematic Generalisation in Neural Models

LoFiT: Localized Fine-tuning on LLM Representations


Span-based Localizing Network for Natural Language Video Localization (ACL 2020)

Ego4D: Around the World in 3,000 Hours of Egocentric Video

Natural Language Video Localization: A Revisit in Span-based Question Answering Framework

IEEE transactions on pattern analysis and machine intelligence

Query-Dependent Video Representation for Moment Retrieval and Highlight Detection

A Survey on Video Moment Localization


Automatic mapping of compiled circuits to low-noise sub-graphs

Suppressing Quantum Circuit Errors Due to System Variability

Characterizing quantum processors using discrete time crystals

Quantum Variational Rewinding for Time Series Anomaly Detection

Distributed Scheduling of Quantum Circuits with Noise and Time Optimization

Teaching Qubits to Sing: Mission Impossible?

Quantum Simulation on Noisy Superconducting Quantum Computers


Code for ICML 2023 paper, "PFGM++: Unlocking the Potential of Physics-Inspired Generative Models"

Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

Restart Sampling for Improving Generative Processes

Poisson flow consistency models for low-dose CT image denoising


Brain CT image segmentation, normalisation, skull-stripping and total brain/intracranial volume computation.

Alterations of frontal-temporal gray matter volume associate with clinical measures of older adults with COVID-19


Flexible Algorithms for Image Registration

A Lagrangian Gauss-Newton-Krylov Solver for Mass- and Intensity-Preserving Diffeomorphic Image Registration

SIAM journal on scientific computing : a publication of the Society for Industrial and Applied Mathematics

Topology-Preserving 3D Image Segmentation Based on Hyperelastic Regularization

An inexact non stationary Tikhonov procedure for large-scale nonlinear ill-posed problems


The MAGSAC algorithm for robust model fitting without using an inlier-outlier threshold

Image Matching Across Wide Baselines: From Paper to Practice

International Journal of Computer Vision

MAGSAC: marginalizing sample consensus

MAGSAC++, a fast, reliable and accurate robust estimator

Marginalizing Sample Consensus

VSAC: Efficient and Accurate Estimator for H and F

Generalized Differentiable RANSAC

NeFSAC: Neurally Filtered Minimal Samples

USACv20: robust essential, fundamental and homography matrix estimation

Space-Partitioning RANSAC

Consensus-Adaptive RANSAC


Curiosity-driven Exploration by Self-supervised Prediction

Proximal Policy Optimization Algorithms

Large-Scale Study of Curiosity-Driven Learning

Efficient Parallel Methods for Deep Reinforcement Learning

Ask & Explore: Grounded Question Answering for Curiosity-Driven Exploration.

Intrinsic Motivation via Surprise Memory


Tools and tutorials for the OpenMIC-2018 dataset.

Multitask learning for frame-level instrument recognition

Multi-Task Self-Supervised Pre-Training for Music Classification

Receptive-Field Regularized CNNs for Music Classification and Tagging


A python package for battery models


Science-parse version 2

The Semantic Scholar Open Data Platform

High-Precision Extraction of Emerging Concepts from Scientific Literature

PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20)

Predicting the Reproducibility of Social and Behavioral Science Papers Using Supervised Learning Models

Acknowledgement Entity Recognition in CORD-19 Papers

Empirical Methods in Natural Language Processing

Scientific document processing: challenges for modern learning methods

International journal on digital libraries


Repository for SEN12MS related codes and utilities

Remote Sensing Image Classification with the SEN12MS Dataset

There Are No Data Like More Data: Datasets for deep learning in Earth observation

IEEE Geoscience and Remote Sensing Magazine

Explaining the Effects of Clouds on Remote Sensing Scene Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Model Generalization in Deep Learning Applications for Land Cover Mapping


Code for phasing SVs with SNPs

Semi-automated assembly of high-quality diploid human reference genomes

De novo assembly of a Tibetan genome and identification of novel structural variants associated with high-altitude adaptation

Fully Phased Sequence of a Diploid Human Genome Determined de Novo from the DNA of a Single Individual


DESI spectral visualization tools

The DESI Survey Validation: Results from Visual Inspection of Bright Galaxies, Luminous Red Galaxies, and Emission-line Galaxies

The DESI Survey Validation: Results from Visual Inspection of the Quasar Survey Spectra

Zenodo (CERN European Organization for Nuclear Research)

DESI Observations of the Andromeda Galaxy: Revealing the Immigration History of Our Nearest Neighbor

Performance of the Quasar Spectral Templates for the Dark Energy Spectroscopic Instrument

Jupyter-Enabled Astrophysical Analysis Using Data-Proximate Computing Platforms

A striking relationship between dust extinction and radio detection in DESI QSOs: evidence for a dusty blow-out phase in red QSOs


Inferring phylogenetic networks with maximum pseudolikelihood under incomplete lineage sorting

Taxonomic Uncertainty and the Anomaly Zone: Phylogenomics Disentangle a Rapid Radiation to Resolve Contentious Species (Gila robusta Complex) in the Colorado River

Inferring Patterns of Hybridization and Polyploidy in the Plant Genus Penstemon (Plantaginaceae)


A visual simulator for the amoebot model of programmable matter.

Bio-Inspired Energy Distribution for Programmable Matter

Fast Reconfiguration for Programmable Matter

Deadlock and Noise in Self-Organized Aggregation Without Computation

Energy-Constrained Programmable Matter Under Unfair Adversaries


A python toolkit for parsing captions (in natural language) into scene graphs (as symbolic representations).

RegionCLIP: Region-based Language-Image Pretraining

Unified Visual-Semantic Embeddings: Bridging Vision and Language with Structured Meaning Representations

Learning Cross-modal Context Graph for Visual Grounding

Learning to Generate Scene Graph from Natural Language Supervision

Free-form Description Guided 3D Visual Graph Network for Object Grounding in Point Cloud

LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation

Relation-aware Instance Refinement for Weakly Supervised Visual Grounding

Learning Object Detection from Captions via Textual Scene Attributes

Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality

Non-Parallel Text Style Transfer with Self-Parallel Supervision


Connectome Workbench

A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence

Neurite imaging reveals microstructural variations in human cerebral cortical gray matter

Determining the Hierarchical Architecture of the Human Brain Using Subject-Level Clustering of Functional Networks

Diffusion Tensor Model links to Neurite Orientation Dispersion and Density Imaging at high b-value in Cerebral Cortical Gray Matter

A massive 7T fMRI dataset to bridge cognitive and computational neuroscience

Local and long-distance organization of prefrontal cortex circuits in the marmoset brain

Development of visual cortex in human neonates is selectively modified by postnatal experience

Mapping the macrostructure and microstructure of the in vivo human hippocampus using diffusion MRI

The Interaction of Glycemia with Anxiety and Depression Is Related to Altered Cerebellar and Cerebral Functional Correlations

Cacao Polyphenol-Rich Dark Chocolate Intake Contributes to Efficient Brain Activity during Cognitive Tasks: A Randomized, Single-Blinded, Crossover, and Dose-Comparison fMRI Study


Python package for numerical derivatives and partial differential equations in any number of dimensions.

BubbleDet: a Python package to compute functional determinants for bubble nucleation

Higher-order stochastic integration through cubic stratification

An analysis of parameter compression and full-modeling techniques with
  Velocileptors for DESI 2024 and beyond

Quantum computing using floating electrons on cryogenic substrates: Potential and challenges

tinie – a software package for electronic transport through two-dimensional cavities in a magnetic field

Strategies for Pretraining Neural Operators

Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical
  Systems


SPARQL to SQL translation engine for multiple backends, such as DB2, PostgreSQL and Apache Spark

ROSIE: Runtime Optimization of SPARQL Queries Using Incremental Evaluation

Leveraging Neighborhood Summaries for Efficient RDF Queries on RDBMS

Expressive Reasoning Graph Store: A Unified Framework for Managing RDF and Property Graph Databases


Julia package for formulating and analyzing stochastic recourse models.

Efficient Stochastic Programming in Julia

Dynamic cut aggregation in L-shaped algorithms


Official reinforcement learning environment for demand response and load shaping

Addressing Function Approximation Error in Actor-Critic Methods

Soft Actor-Critic Algorithms and Applications

NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning

CityLearn: Standardizing Research in Multi-Agent Reinforcement Learning for Demand Response and Urban Energy Management

Real-world challenges for multi-agent reinforcement learning in grid-interactive buildings

A Centralised Soft Actor Critic Deep Reinforcement Learning Approach to District Demand Side Management through CityLearn

Off-the-Grid MARL: Datasets with Baselines for Offline Multi-Agent Reinforcement Learning


Research using Qiskit.

Simulating spectroscopy experiments with a superconducting quantum computer

A perspective on protein structure prediction using quantum computers

Quantum Variational Rewinding for Time Series Anomaly Detection

Quantum Simulation on Noisy Superconducting Quantum Computers


中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)

Extending Context Window of Large Language Models via Positional Interpolation

Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca

YaRN: Efficient Context Window Extension of Large Language Models

DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services

Retrieve-Rewrite-Answer: A KG-to-Text Enhanced LLMs Framework for Knowledge Graph Question Answering

A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law

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

TencentLLMEval: A Hierarchical Evaluation of Real-World Capabilities for Human-Aligned LLMs


AQUAS TF and histone ChIP-seq pipeline

A compendium and comparative epigenomics analysis of cis-regulatory elements in the pig genome

Super-Enhancer-Associated LncRNA UCA1 Interacts Directly with AMOT to Activate YAP Target Genes in Epithelial Ovarian Cancer

Denoising genome-wide histone ChIP-seq with convolutional neural networks

Non-coding somatic mutations converge on the PAX8 pathway in ovarian cancer

Modulating Androgen Receptor-Driven Transcription in Prostate Cancer with Selective CDK9 Inhibitors

KLF4 Recruits SWI/SNF to Increase Chromatin Accessibility and Reprogram the Endothelial Enhancer Landscape under Laminar Shear Stress

Anopheles mosquitoes reveal new principles of 3D genome organization in insects

Single nucleus multiomics identifies ZEB1 and MAFB as candidate regulators of Alzheimer’s disease-specific cis-regulatory elements

Deep learning models predict regulatory variants in pancreatic islets and refine type 2 diabetes association signals

PDGFRA defines the mesenchymal stem cell Kaposi’s sarcoma progenitors by enabling KSHV oncogenesis in an angiogenic environment


Compact NUMA-aware Locks

BRAVO -- Biased Locking for Reader-Writer Locks

XOS: An Application-Defined Operating System for Data Center Servers

Isolate First, Then Share: a New OS Architecture for Datacenter Computing


A learning environment for man-made Interactive Fiction games.

Interactive Fiction Games: A Colossal Adventure

Graph Constrained Reinforcement Learning for Natural Language Action Spaces

How to Avoid Being Eaten by a Grue: Structured Exploration Strategies for Textual Worlds

Playing Text-Based Games with Common Sense

How To Avoid Being Eaten By a Grue: Exploration Strategies for Text-Adventure Agents

Modeling Worlds in Text

Situated Language Learning via Interactive Narratives

Eye of the Beholder: Improved Relation Generalization for Text-based Reinforcement Learning Agents

Learning to Play Text-based Adventure Games with Maximum Entropy Reinforcement Learning

Learn What Is Possible, Then Choose What Is Best: Disentangling One-To-Many Relations in Language Through Text-based Games


A framework for smart contract verification in Coq

ConCert: A Smart Contract Certification Framework in Coq

Extracting Smart Contracts Tested and Verified in Coq

Extracting functional programs from Coq, in Coq

Finding smart contract vulnerabilities with ConCert's property-based testing framework


Python package for easy access to weather and climate data

Emerging AI-based weather prediction models as downscaling tools


Python Keyphrase Extraction module

Simple Unsupervised Keyphrase Extraction using Sentence Embeddings

Unsupervised Keyphrase Extraction with Multipartite Graphs

pke: an open source python-based keyphrase extraction toolkit

International Conference on Computational Linguistics

KPTimes: A Large-Scale Dataset for Keyphrase Generation on News Documents

MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction

AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

TNT-KID: Transformer-based neural tagger for keyword identification

KeyGames: A Game Theoretic Approach to Automatic Keyphrase Extraction

ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question Answering over Historical News Collections

A Comparative Assessment of State-Of-The-Art Methods for Multilingual Unsupervised Keyphrase Extraction

IFIP advances in information and communication technology


Useful tools for structural equation modeling

The Mediating Role of Organizational Learning in the Relationship of Organizational Intelligence and Organizational Agility

Osong public health and research perspectives

Validity Aspects of the Strengths and Difficulties Questionnaire (SDQ) Adolescent Self-Report and Parent-Report Versions Among Dutch Adolescents

The Chinese EPOCH Measure of Adolescent Wellbeing: Further Testing of the Psychometrics of the Measure

A novel online assessment of pragmatic and core language skills: An attempt to tease apart language domains in children

The Spanish Version of the Internet Gaming Disorder Scale-Short Form (IGDS9-SF): Further Examination Using Item Response Theory

International journal of environmental research and public health

Health-Related Behaviors in Adolescents Mediate the Association between Subjective Social Status and Body Mass Index

Perceived parenting and identification with all humanity: Insights from England and Germany


Simple RISC-V 3-stage Pipeline in Chisel

RVCoreP : An optimized RISC-V soft processor of five-stage pipelining

IEICE Transactions on Information and Systems

Manticore: Hardware-Accelerated RTL Simulation with Static Bulk-Synchronous Parallelism


Controllable and fast Text-to-Speech for over 7000 languages!

Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features

Low-Resource Multilingual and Zero-Shot Multispeaker TTS

The IMS Toucan System for the Blizzard Challenge 2023

Exact Prosody Cloning in Zero-Shot Multispeaker Text-to-Speech

»textklang« – Towards a Multi-Modal Exploration Platform for German Poetry

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Controlling Emotion in Text-to-Speech with Natural Language Prompts

Probing the Feasibility of Multilingual Speaker Anonymization


The Biorefinery Simulation and Techno-Economic Analysis Modules; Life Cycle Assessment; Chemical Process Simulation Under Uncertainty

BioSTEAM: A Fast and Flexible Platform for the Design, Simulation, and Techno-Economic Analysis of Biorefineries under Uncertainty

QSDsan: an integrated platform for quantitative sustainable design of sanitation and resource recovery systems

Environmental Science: Water Research & Technology

Techno-Economic Evaluation of Biorefineries Based on Low-Value Feedstocks Using the BioSTEAM Software: A Case Study for Animal Bedding


Repository of OHDSI Collaborative Research Protocols

Comparative effectiveness of canagliflozin, SGLT2 inhibitors and non-SGLT2 inhibitors on the risk of hospitalization for heart failure and amputation in patients with type 2 diabetes mellitus: A real-world meta-analysis of 4 observational databases (OBSERVE-4D)

Improving reproducibility by using high-throughput observational studies with empirical calibration

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

Diabetic ketoacidosis in patients with type 2 diabetes treated with sodium glucose co‐transporter 2 inhibitors versus other antihyperglycemic agents: An observational study of four US administrative claims databases

Development and validation of a prognostic model predicting symptomatic hemorrhagic transformation in acute ischemic stroke at scale in the OHDSI network

Opioid use, postoperative complications, and implant survival after unicompartmental versus total knee replacement: a population-based network study

Characterization of Anti-seizure Medication Treatment Pathways in Pediatric Epilepsy Using the Electronic Health Record-Based Common Data Model

Wisdom of the CROUD: Development and validation of a patient-level prediction model for opioid use disorder using population-level claims data

A systematic approach to improving the reliability and scale of evidence from health care data


Multi-format in vivo MR spectroscopy conversion to NIFTI

Big GABA: Edited MR spectroscopy at 24 research sites

BIDScoin: A User-Friendly Application to Convert Source Data to Brain Imaging Data Structure

NIfTI-MRS: A standard data format for magnetic resonance spectroscopy


Microsoft Collective Communication Library

Synthesizing optimal collective algorithms

ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming

Breaking the Computation and Communication Abstraction Barrier in Distributed Machine Learning Workloads

TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches

GC3: An Optimizing Compiler for GPU Collective Communication

Efficient Direct-Connect Topologies for Collective Communications

Efficient All-to-All Collective Communication Schedules for Direct-Connect Topologies

Boosting Large-scale Parallel Training Efficiency with C4: A Communication-Driven Approach


A computationally efficient and robust LiDAR-inertial odometry (LIO) package

FAST-LIO: A Fast, Robust LiDAR-Inertial Odometry Package by Tightly-Coupled Iterated Kalman Filter

ikd-Tree: An Incremental K-D Tree for Robotic Applications

LLOL: Low-Latency Odometry for Spinning Lidars

PALoc: Advancing SLAM Benchmarking With Prior-Assisted 6-DoF Trajectory Generation and Uncertainty Estimation


An intuitive library to extract features from time series.

TSFEL: Time Series Feature Extraction Library

Early classification of time series

IMU-Based Fitness Activity Recognition Using CNNs for Time Series Classification

Early and Revocable Time Series Classification


Data Analysis with Bootstrapped ESTimation

Distinct actin–tropomyosin cofilament populations drive the functional diversification of cytoskeletal myosin motor complexes

Ferroptosis Induction and YAP Inhibition as New Therapeutic Targets in Gastrointestinal Stromal Tumors (GISTs)

Long range temporal correlations (LRTCs) in MEG-data during emerging psychosis: Relationship to symptoms, medication-status and clinical trajectory

OSS Effort Estimation Using Software Features Similarity and Developer Activity-Based Metrics

ACM Transactions on Software Engineering and Methodology

Energetic determinants of animal cell polarity regulator Par-3 interaction with the Par complex

Cooperative regulation of C1-domain membrane recruitment polarizes atypical protein kinase C

PIEZO1 regulates leader cell formation and cellular coordination during collective keratinocyte migration


a python based software for visualization of neuroanatomical and morphological data.

Behavioral origin of sound-evoked activity in mouse visual cortex

Constructing an adult orofacial premotor atlas in Allen mouse CCF

Brainrender: a python-based software for visualizing anatomically registered data

Brain-wide analysis of the supraspinal connectome reveals anatomical correlates to functional recovery after spinal injury

Preliminary validation of a structural magnetic resonance imaging metric for tracking dementia-related neurodegeneration and future decline


A single molecule sequence assembler for genomes large and small.

Canu: scalable and accurate long-read assembly via adaptive k-mer weighting and repeat separation

Fast and accurate de novo genome assembly from long uncorrected reads

Nanopore sequencing and assembly of a human genome with ultra-long reads

Oxford Nanopore MinION Sequencing and Genome Assembly

基因组蛋白质组与生物信息学报

HiCanu: accurate assembly of segmental duplications, satellites, and allelic variants from high-fidelity long reads

Nanopore sequencing and the Shasta toolkit enable efficient de novo assembly of eleven human genomes

Hybrid assembly of the large and highly repetitive genome of Aegilops tauschii, a progenitor of bread wheat, with the mega-reads algorithm

Nanopore sequencing technology and tools for genome assembly: computational analysis of the current state, bottlenecks and future directions

Research in Computational Molecular Biology

The Indian cobra reference genome and transcriptome enables comprehensive identification of venom toxins

Prevotella copri increases fat accumulation in pigs fed with formula diets


Massively multilingual pronunciation mining

Results of the Second SIGMORPHON Shared Task on Multilingual Grapheme-to-Phoneme Conversion

Special Interest Group on Computational Morphology and Phonology Workshop

The Taxonomy of Writing Systems: How to Measure How Logographic a System Is

International Conference on Computational Logic

Open Korean Corpora: A Practical Report

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

Colexifications for Bootstrapping Cross-lingual Datasets: The Case of Phonology, Concreteness, and Affectiveness

Enriching Multiword Terms in Wiktionary with Pronunciation Information


:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions

Tacotron: Towards End-to-End Speech Synthesis

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

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

MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram

FastSpeech: Fast, Robust and Controllable Text to Speech

A Survey on Neural Speech Synthesis

ESPnet2-TTS: Extending the Edge of TTS Research

"Hello, It's Me": Deep Learning-based Speech Synthesis Attacks in the Real World

Conference on Computer and Communications Security


Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing

Survey: Exploiting Data Redundancy for Optimization of Deep Learning

NarrowBERT: Accelerating Masked Language Model Pretraining and Inference


Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics

Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data

Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification


Code for paper "Document-Level Argument Extraction by Conditional Generation". NAACL 21'

Document-Level Event Argument Extraction by Conditional Generation

Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction

DEGREE: A Data-Efficient Generative Event Extraction Model

Revisiting Event Argument Extraction: Can EAE Models Learn Better When Being Aware of Event Co-occurrences?

Role Knowledge Prompting for Document-Level Event Argument Extraction

Asking and Answering Questions to Extract Event-Argument Structures


PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.

Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks

Multi-Modal Temporal Attention Models for Crop Mapping from Satellite Time Series

UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series

DEFORESTATION DETECTION IN THE AMAZON WITH SENTINEL-1 SAR IMAGE TIME SERIES

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences


This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).

Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection

Few-Shot Learning Patterns in Financial Time Series for Trend-Following Strategies


A PyTorch implementation of DenseNet.

Densely Connected Convolutional Networks

FreezeOut: Accelerate Training by Progressively Freezing Layers

To Ensemble or Not Ensemble: When does End-To-End Training Fail?

Automatic Data Augmentation by Learning the Deterministic Policy


Histopathology Image Analysis

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Swarm learning for decentralized artificial intelligence in cancer histopathology

Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology

Artificial intelligence for detection of microsatellite instability in colorectal cancer—a multicentric analysis of a pre-screening tool for clinical application

Weakly supervised annotation‐free cancer detection and prediction of genotype in routine histopathology

Encrypted federated learning for secure decentralized collaboration in cancer image analysis

Predicting Mutational Status of Driver and Suppressor Genes Directly from Histopathology With Deep Learning: A Systematic Study Across 23 Solid Tumor Types

Benchmarking artificial intelligence methods for end-to-end computational pathology


Counterfactual Samples Synthesizing for Robust VQA

Counterfactual Samples Synthesizing for Robust Visual Question Answering

Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering

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

Introspective Distillation for Robust Question Answering

Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering


Official code for UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging (Accepted at NeurIPS2020).

Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity Deep Hiding

Image data hiding with multi-scale autoencoder network

Smaller Is Bigger: Rethinking the Embedding Rate of Deep Hiding

SUDS: Sanitizing Universal and Dependent Steganography

Image Data Hiding in Neural Compressed Latent Representations

Monsters in the Dark: Sanitizing Hidden Threats with Diffusion Models


R package: TopDom - An efficient and Deterministic Method for identifying Topological Domains in Genomes

Loop extrusion as a mechanism for formation of DNA damage repair foci

Systematic assessment of gene co-regulation within chromatin domains determines differentially active domains across human cancers

Manipulation of TAD reorganization by chemical-dependent genome linking


PyTorch code for ICLR 2019 paper: Self-Monitoring Navigation Agent via Auxiliary Progress Estimation

Diagnosing the Environment Bias in Vision-and-Language Navigation


AMR Parsing via Graph-Sequence Iterative Inference

Ensembling Graph Predictions for AMR Parsing

Improving Neural Machine Translation with the Abstract Meaning Representation by Combining Graph and Sequence Transformers

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

HIT-SCIR at MRP 2020: Transition-based Parser and Iterative Inference Parser

Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing

Referenceless Parsing-Based Evaluation of AMR-to-English Generation

Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems


[CVPR 2020] MLCVNet: Multi-Level Context VoteNet for 3D Object Detection

Deep Hough Voting for 3D Object Detection in Point Clouds

Compact Generalized Non-local Network


Maximum entropy modelling of species geographic distributions.

The Genomic Footprints of the Fall and Recovery of the Crested Ibis

Simulating the effects of climate change across the geographical distribution of two medicinal plants in the genus Nardostachys

European badger habitat requirements in the Netherlands – combining ecological niche models with neighbourhood analysis

Spatial and environmental variation in phyllostomid bat (Chiroptera, Phyllostomidae) distribution in Mexico

Potential Suitable Habitats of Chili Pepper in China under Climate Change

Analysis of peste des petits ruminants virus spread and the risk of its introduction into the territory of the Russian Federation


Code accompanying the paper "Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning".

VSE++: Improving Visual-Semantic Embeddings with Hard Negatives

Learning the Best Pooling Strategy for Visual Semantic Embedding


Tree-structured Long Short-Term Memory networks (http://arxiv.org/abs/1503.00075)

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

A Survey on Text Classification: From Shallow to Deep Learning

Refining Word Embeddings for Sentiment Analysis

Empirical Methods in Natural Language Processing

Deep Learning with Dynamic Computation Graphs

SimiHawk at SemEval-2016 Task 1: A Deep Ensemble System for Semantic Textual Similarity

North American Chapter of the Association for Computational Linguistics


Code for ACL19 paper: Dynamically Fused Graph Network for Multihop Reasoning

Dynamically Fused Graph Network for Multi-hop Reasoning

Do Multi-Hop Question Answering Systems Know How to Answer the Single-Hop Sub-Questions?

Is Graph Structure Necessary for Multi-hop Reasoning?


[TMI'2021] Temporal Memory Relation Network for Workflow Recognition from Surgical Video

EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos

Temporal Memory Relation Network for Workflow Recognition From Surgical Video

On the Pitfalls of Batch Normalization for End-to-End Video Learning: A Study on Surgical Workflow Analysis

Metrics Matter in Surgical Phase Recognition

Self-Knowledge Distillation for Surgical Phase Recognition


[AAAI 2018] Memory Fusion Network for Multi-view Sequential Learning

Multimodal Transformer for Unaligned Multimodal Language Sequences

MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis

Multi-attention Recurrent Network for Human Communication Comprehension

Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities

Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement Learning

From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining


MobileNetV3 in pytorch and ImageNet pretrained models

Searching for MobileNetV3

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

A Fine-Tuned CatBoost-Based Speech Disorder Detection Model


A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

Structural-RNN: Deep Learning on Spatio-Temporal Graphs

On human motion prediction using recurrent neural networks

Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction

IEEE transactions on pattern analysis and machine intelligence

Deep Learning for Vision-based Prediction: A Survey

Focusing on What is Relevant: Time-Series Learning and Understanding using Attention


Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning

Counterfactual Data Augmentation using Locally Factored Dynamics

MoCoDA: Model-based Counterfactual Data Augmentation

MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks

A Survey on Causal Reinforcement Learning

Bilinear value networks

Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning


A collection of tools for simulating vibrational spectra, which interfaces with the Phonopy package.

Structural dynamics of Schottky and Frenkel defects in CeO2: a density-functional theory study

Lattice vibrations of γ- and e̱ṯa̱-coronene from Raman and theory


YAMP: Yet Another Metagenomic Pipeline

YAMP: a containerized workflow enabling reproducibility in metagenomics research

YAMP: a framework enabling reproducibility in metagenomics research


Proper scoring rules in Python

Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series

A Multi‐Model Ensemble Kalman Filter for Data Assimilation and Forecasting

When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting

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

ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information

Creating Probabilistic Forecasts from Arbitrary Deterministic Forecasts using Conditional Invertible Neural Networks


The Exome Coverage and Identification Report displays the coverage of every target region in your capture design.  It also displays regions below an adjustable coverage threshold.

Launching genomics into the cloud: deployment of Mercury, a next generation sequence analysis pipeline

Cpipe: a shared variant detection pipeline designed for diagnostic settings

Characterizing reduced coverage regions through comparison of exome and genome sequencing data across 10 centers

Genetics in medicine : official journal of the American College of Medical Genetics


Do What The F*ck You Want To Public License

Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models

On Provable Copyright Protection for Generative Models

Blurring Diffusion Models

A Unified Framework for U-Net Design and Analysis

Training Data Attribution for Diffusion Models


Text Simplification System and Dataset

Optimizing Statistical Machine Translation for Text Simplification

Transactions of the Association for Computational Linguistics

The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification

Controllable Text Simplification with Lexical Constraint Loss

Meeting of the Association for Computational Linguistics

LENS: A Learnable Evaluation Metric for Text Simplification

On the Helpfulness of Document Context to Sentence Simplification

International Conference on Computational Linguistics

SimplifyUR: Unsupervised Lexical Text Simplification for Urdu

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

Claim Optimization in Computational Argumentation

A Semi-Supervised Approach for Low-Resourced Text Generation

Divide-and-Conquer Text Simplification by Scalable Data Enhancement

Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)

Neural Transduction of Letter Position Dyslexia using an Anagram Matrix Representation

Workshop on Biomedical Natural Language Processing


Repository for MolFormer

Large-scale chemical language representations capture molecular structure and properties

Beyond Chemical Language: A Multimodal Approach to Enhance Molecular Property Prediction


Contrastive Learning for Many-to-many Multilingual Neural Machine Translation

MMNMT: Modularizing Multilingual Neural Machine Translation with Flexibly Assembled MoE and Dense Blocks

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

Pretrained Bidirectional Distillation for Machine Translation

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


Main repository for the Logchain as a Service platform

Logchain: Blockchain-Assisted Log Storage

PROCEEDINGS 2018 IEEE 11TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD)

Immutable Log Storage as a Service on Private and Public Blockchains

Immutable Log Storage as a Service

International Conference on Software Engineering


A codebase & model zoo for pretrained backbone based on MegEngine.

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design

Deep High-Resolution Representation Learning for Visual Recognition

RepVGG: Making VGG-style ConvNets Great Again

Designing Network Design Spaces


Semi-supervised Medical Image Segmentation through Dual-task Consistency

Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation

Semi-Supervised Semantic Segmentation with Cross-Consistency Training

Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images

Medical Image Computing and Computer-Assisted Intervention

Semi-supervised Left Atrium Segmentation with Mutual Consistency Training

Local and Global Structure-Aware Entropy Regularized Mean Teacher Model for 3D Left Atrium Segmentation


A method for training neural networks that are provably robust to adversarial attacks.

Explaining and Harnessing Adversarial Examples

Towards Deep Learning Models Resistant to Adversarial Attacks

Certified Adversarial Robustness via Randomized Smoothing

Provable defenses against adversarial examples via the convex outer adversarial polytope

Evaluating Robustness of Neural Networks with Mixed Integer Programming

Scaling provable adversarial defenses

A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks

On the Geometry of Adversarial Examples

Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations


This is the public repository for eigenvector-based SALSA features for polyphonic sound event localization and detection.

SALSA: Spatial Cue-Augmented Log-Spectrogram Features for Polyphonic Sound Event Localization and Detection

SALSA-Lite: A Fast and Effective Feature for Polyphonic Sound Event Localization and Detection with Microphone Arrays

DCASE 2021 Task 3: Spectrotemporally-aligned Features for Polyphonic Sound Event Localization and Detection

What Makes Sound Event Localization and Detection Difficult? Insights from Error Analysis


Demultiplexes a fastq.

3D landscape of Hepatitis B virus interactions with human chromatins

Genetic structure of the European hedgehog (Erinaceus europaeus) in Denmark

Zenodo (CERN European Organization for Nuclear Research)

Applying the GBS technique for the genomic characterization of a Danish population of European hedgehogs (Erinaceus europaeus)

Amplicon Sequencing of Single-Copy Protein-Coding Genes Reveals Accurate Diversity for Sequence-Discrete Microbiome Populations


Code for "Learning to summarize from human feedback"

Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media

Dataset Reset Policy Optimization for RLHF

DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4

Self-Improving Robust Preference Optimization

Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion


Force Fields

Preliminary Structure–Activity Relationship Study of the MMV Pathogen Box Compound MMV675968 (2,4-Diaminoquinazoline) Unveils Novel Inhibitors of Trypanosoma brucei brucei

Molecular dynamics simulations of the flexibility and inhibition of SARS-CoV-2 NSP 13 helicase

Journal of molecular graphics & modelling

Slipknot or Crystallographic Error: A Computational Analysis of the Plasmodium falciparum DHFR Structural Folds

International journal of molecular sciences

Structure-Based Experimental Datasets for Benchmarking of Protein Simulation Force Fields


Analytic sampler compiler for combinatorial systems

Polynomial tuning of multiparametric combinatorial samplers

On Uniquely Closable and Uniquely Typable Skeletons of Lambda Terms

Tuning as convex optimisation: a polynomial tuner for multi-parametric combinatorial samplers

How to generate random lambda terms?


An implementation of the enthalpy-based thermal evolution of loops (EBTEL) model implemented in C++ and wrapped in Python

INFERENCE OF HEATING PROPERTIES FROM “HOT” NON-FLARING PLASMAS IN ACTIVE REGION CORES. II. NANOFLARE TRAINS

Simulating Solar Flare Irradiance with Multithreaded Models of Flare Arcades

Data-constrained Solar Modeling with GX Simulator

Nanoflare Diagnostics from Magnetohydrodynamic Heating Profiles

Transition Region Contribution to AIA Observations in the Context of Coronal Heating


A space to log issues, updates, and software related to the ATLAS (Anatomical Tracings of Lesions After Stroke) database.

A large, open source dataset of stroke anatomical brain images and manual lesion segmentations

A large, curated, open-source stroke neuroimaging dataset to improve lesion segmentation algorithms

Automatic Segmentation and Quantitative Assessment of Stroke Lesions on MR Images

Coupled-Projection Residual Network for MRI Super-Resolution

A standardized protocol for manually segmenting stroke lesions on high-resolution T1-weighted MR images


FlashFry: The rapid CRISPR target site characterization tool

FlashFry: a fast and flexible tool for large-scale CRISPR target design

Redkmer: An Assembly-Free Pipeline for the Identification of Abundant and Specific X-Chromosome Target Sequences for X-Shredding by CRISPR Endonucleases

CRISPR-SE: a brute force search engine for CRISPR design

SMAP design: a multiplex PCR amplicon and gRNA design tool to screen for natural and CRISPR-induced genetic variation


Microbial community analysis tools in R

The Effects of Captivity on the Mammalian Gut Microbiome

Deconstructing the Bat Skin Microbiome: Influences of the Host and the Environment

Comparison of Standard Culture-Based Method to Culture-Independent Method for Evaluation of Hygiene Effects on the Hand Microbiome

Soil Salinity and pH Drive Soil Bacterial Community Composition and Diversity Along a Lateritic Slope in the Avon River Critical Zone Observatory, Western Australia

The dynamics of the antibiotic resistome in the feces of freshly weaned pigs following therapeutic administration of oxytetracycline

In vitro Fermentation Reveals Changes in Butyrate Production Dependent on Resistant Starch Source and Microbiome Composition

Persistence of a Core Microbiome Through the Ontogeny of a Multi-Host Parasite

Effect of Biofertilizers Application on Soil Biodiversity and Litter Degradation in a Commercial Apricot Orchard

Elevational Constraints on the Composition and Genomic Attributes of Microbial Communities in Antarctic Soils

Organic Amendments Alter Soil Hydrology and Belowground Microbiome of Tomato (Solanum lycopersicum)


SimSpin - A package for the kinematic analysis of galaxy simulations

Recovering λR and V/σ from seeing-dominated IFS data

Monthly Notices of the Royal Astronomical Society

The MAGPI survey: Science goals, design, observing strategy, early results and theoretical framework

Publications of the Astronomical Society of Australia

A numerical twist on the observational spin parameter, λ_R

SimSpin—Constructing mock IFS kinematic data cubes

Realistic synthetic integral field spectroscopy with RealSim-IFS

Application of dimensionality reduction and clustering algorithms for the classification of kinematic morphologies of galaxies

SimSpin v2.6.0—constructing synthetic spectral IFU cubes for comparison with observational surveys


Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (DEPRECATED)

The Pfam protein families database in 2019

Evaluating Protein Transfer Learning with TAPE

Critical assessment of methods of protein structure prediction (CASP)—Round XII

Proteins: Structure, Function, and Bioinformatics


The ENIGMA Toolbox is an open-source repository for accessing 100+ ENIGMA statistical maps, visualizing cortical and subcortical surface data, and relating neuroimaging findings to micro- and macroscale brain organization.

Mapping neurotransmitter systems to the structural and functional organization of the human neocortex

The ENIGMA Toolbox: multiscale neural contextualization of multisite neuroimaging datasets

Topographic divergence of atypical cortical asymmetry and atrophy patterns in temporal lobe epilepsy

The ENIGMA Toolbox: Cross-disorder integration and multiscale neural contextualization of multisite neuroimaging datasets

Meta-connectomic analysis maps consistent, reproducible, and transcriptionally relevant functional connectome hubs in the human brain

Integrating neuroimaging and gene expression data using the imaging transcriptomics toolbox

Exploring Nonlinear Dynamics In Brain Functionality Through Phase Portraits And Fuzzy Recurrence Plots

bioRxiv : the preprint server for biology

Mapping Pharmacologically-induced Functional Reorganisation onto the Brain’s Neurotransmitter Landscape

Identifying subgroups of eating behavior traits unrelated to obesity using functional connectivity and feature representation learning


The Global WordNet Association Collaborative Inter-Lingual Index

CSKG: The CommonSense Knowledge Graph

Consolidating Commonsense Knowledge

Extending a Text-to-Pictograph System to French and to Arasaac

Recent Advances in Natural Language Processing

Use Case: Romanian Language Resources in the LOD Paradigm

SardaNet: a Linguistic Resource for Sardinian Language


Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images

Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images

A General-Purpose Self-Supervised Model for Computational Pathology

Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification

Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer

Annotation-Free Deep Learning-Based Prediction of Thyroid Molecular Cancer Biomarker BRAF (V600E) from Cytological Slides

Feature Re-Embedding: Towards Foundation Model-Level Performance in
  Computational Pathology

Using less annotation workload to establish a pathological auxiliary diagnosis system for gastric cancer

Predicting Ki67, ER, PR, and HER2 Statuses from H&E-stained Breast Cancer Images

Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation


Segment Anything in Medical Images

Segment Anything in Medical Images

One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts

Segment Anything in Medical Images and Videos: Benchmark and Deployment

Exploring SAM Ablations for Enhancing Medical Segmentation in Radiology and Pathology

FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models


Access to Biological Collection Data (ABCD)

Dataset search in biodiversity research: Do metadata in data repositories reflect scholarly information needs?

A story of data won, data lost and data re-found: the realities of ecological data preservation

ABCD 3.0 Ready to Use

Biodiversity Information Science and Standards

Essential Annotation Schema for Ecology (EASE)—A framework supporting the efficient data annotation and faceted navigation in ecology


Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

U-Net: Convolutional Networks for Biomedical Image Segmentation

Automatic Segmentation of Retinal Fluid and Photoreceptor Layer from Optical Coherence Tomography Images of Diabetic Macular Edema Patients Using Deep Learning and Associations with Visual Acuity

ACORBA: Automated workflow to measure Arabidopsis thaliana root tip angle dynamic

������������: An eXplainable Framework to Map Bark Beetle Infestation in Sentinel-2 Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Improving deep learning-based segmentation of diatoms in gigapixel-sized virtual slides by object-based tile positioning and object integrity constraint

Leveraging Sentinel-2 time series for bark beetle-induced forest dieback inventory

Sea Ice Concentration Estimation Techniques Using Machine Learning: An End-To-End Workflow for Estimating Concentration Maps from SAR Images


Fisher forecasting for cosmological surveys

Toward neutrino mass from cosmology without optical depth information

Baryonic effects on CMB lensing and neutrino mass constraints

Avoiding baryonic feedback effects on neutrino mass measurements from CMB lensing


A python utility library for interacting with NASA JPL's PO.DAAC


An R package for the extraction of sentiment and sentiment-based plot arcs from text

An “Infodemic”: Leveraging High-Volume Twitter Data to Understand Early Public Sentiment for the Coronavirus Disease 2019 Outbreak

Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis

Feeling Positive About Reopening? New Normal Scenarios From COVID-19 US Reopen Sentiment Analytics

Public Sentiment Analysis on Twitter Data during COVID-19 Outbreak

International Journal of Advanced Computer Science and Applications

Cultural heritage through the lens of COVID-19

How are major gambling brands using Twitter?

Feeling Like it is Time to Reopen Now? COVID-19 New Normal Scenarios Based on Reopening Sentiment Analytics

Emotional Sentence Annotation Helps Predict Fiction Genre

Data Augmentation for Improving Emotion Recognition in Software Engineering Communication

Teacher Training for Educational Change: The View of International Experts


Deep learning-based outlier/anomaly detection

Deep Semi-Supervised Anomaly Detection

TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data

Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

Deep Anomaly Detection with Deviation Networks

Classification-Based Anomaly Detection for General Data

Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection

Feature Encoding With Autoencoders for Weakly Supervised Anomaly Detection

IEEE transactions on neural networks and learning systems

Deep Isolation Forest for Anomaly Detection

Neural Transformation Learning for Deep Anomaly Detection Beyond Images

Deep Weakly-supervised Anomaly Detection


Social Watcher on Facebook Marketing API

Using Facebook Ads Audiences for Global Lifestyle Disease Surveillance: Promises and Limitations

Studying Migrant Assimilation Through Facebook Interests

Online Surveys and Digital Demography in the Developing World: Facebook Users in Kenya

Using Facebook advertising data to describe the socio-economic situation of Syrian refugees in Lebanon


PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle.

Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement

SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting Challenge at KDD Cup 2022

Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution

Multi-Temporal Relationship Inference in Urban Areas

Spatial Heterophily Aware Graph Neural Networks

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

The Rise of Diffusion Models in Time-Series Forecasting


Formal to Formal Mathematics Benchmark

Measuring Mathematical Problem Solving With the MATH Dataset

Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs

Formal Mathematics Statement Curriculum Learning

HyperTree Proof Search for Neural Theorem Proving

MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics

Magnushammer: A Transformer-based Approach to Premise Selection

InternLM-Math: Open Math Large Language Models Toward Verifiable
  Reasoning

Enhancing Neural Theorem Proving through Data Augmentation and Dynamic Sampling Method


Xplique is a Neural Networks Explainability Toolbox

Explainable AI for Bioinformatics: Methods, Tools, and Applications

Xplique: A Deep Learning Explainability Toolbox

Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization

Less is More: Fewer Interpretable Region via Submodular Subset Selection


HYBRID is a modeling toolset to assess the integration and economic viability of Integrated Energy Systems (IES).


A multi-programming language benchmark for LLMs

StarCoder: may the source be with you!

SantaCoder: don't reach for the stars!

MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code Generation

IEEE Transactions on Software Engineering

MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation

Deep Learning Based Code Generation Methods: A Literature Review

Neural Machine Translation for Code Generation

Generative Software Engineering


Quantized Neural Networks (QNNs) on PYNQ

FINN: A Framework for Fast, Scalable Binarized Neural Network Inference

Symposium on Field Programmable Gate Arrays

FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks

Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions

DAC-SDC Low Power Object Detection Challenge for UAV Applications

FAT: Training Neural Networks for Reliable Inference Under Hardware Faults

Efficient Error-Tolerant Quantized Neural Network Accelerators

IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems

Memory-Efficient Dataflow Inference for Deep CNNs on FPGA

A Threshold Neuron Pruning for a Binarized Deep Neural Network on an FPGA

IEICE Transactions on Information and Systems

A Deep Learning Accelerator Based on a Streaming Architecture for Binary Neural Networks

Evolutionary Bin Packing for Memory-Efficient Dataflow Inference Acceleration on FPGA

Genetic and Evolutionary Computation Conference


Python framework for processing Universal Dependencies data

Multitask Parsing Across Semantic Representations

Udapi: Universal API for Universal Dependencies

Parameter sharing between dependency parsers for related languages

Treebank Embedding Vectors for Out-of-domain Dependency Parsing

Cross-lingual Parsing with Polyglot Training and Multi-treebank Learning: A Faroese Case Study

Neural End-to-End Coreference Resolution using Morphological Information

Proceedings of the CRAC 2023 Shared Task on Multilingual Coreference Resolution

Lexicon-Enhanced Neural Lemmatization for Estonian

HUMAN LANGUAGE TECHNOLOGIES - THE BALTIC PERSPECTIVE (HLT 2020)


Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins

Methicillin-resistant Staphylococcus aureus emerged long before the introduction of methicillin into clinical practice

Emergence of Vancomycin-Resistant Enterococcus faecium at an Australian Hospital: A Whole Genome Sequencing Analysis

Within-host microevolution of Streptococcus pneumoniae is rapid and adaptive during natural colonisation

European Chlamydia abortus livestock isolate genomes reveal unusual stability and limited diversity, reflected in geographical signatures

Multidrug-resistant Neisseria gonorrhoeae isolate SE690: mosaic penA-60.001 gene causing ceftriaxone resistance internationally has spread to the more antimicrobial-susceptible genomic lineage, Sweden, September 2022

Two multi-fragment recombination events resulted in the β-lactam-resistant serotype 11A-ST6521 related to Spain9V-ST156 pneumococcal clone spreading in south-western Europe, 2008 to 2016

Genomic and phenotypic characterisation of invasive neonatal and colonising group B Streptococcus isolates from Slovenia, 2001–2018

Flies from a tertiary hospital in Rwanda carry multidrug-resistant Gram-negative pathogens including extended-spectrum beta-lactamase-producing E. coli sequence type 131

Antimicrobial resistance and infection control

State-Wide Genomic and Epidemiological Analyses of Vancomycin-Resistant Enterococcus faecium in Tasmania’s Public Hospitals


A toolkit that streamlines and automates the generation of model cards

Model Cards for Model Reporting

Proceedings of the Conference on Fairness, Accountability, and Transparency

Next Steps for Human-Centered Generative AI: A Technical Perspective

Continuous design control for machine learning in certified medical systems

Using Knowledge Graphs to Unlock Practical Collection, Integration, and Audit of AI Accountability Information


Simple simulation of single-cell RNA sequencing data

Realistic in silico generation and augmentation of single cell RNA-seq data using Generative Adversarial Neural Networks

splatPop: simulating population scale single-cell RNA sequencing data

Distribution‐Agnostic Deep Learning Enables Accurate Single‐Cell Data Recovery and Transcriptional Regulation Interpretation

DISSECTING TUMOR TRANSCRIPTIONAL HETEROGENEITY FROM SINGLE-CELL RNA-SEQ DATA BY GENERALIZED BINARY COVARIANCE DECOMPOSITION.


Distances and representations of persistence diagrams

Persistence Images: A Stable Vector Representation of Persistent Homology

Persistence Diagrams with Linear Machine Learning Models

On the stability of persistent entropy and new summary functions for topological data analysis

Computing a Stable Distance on Merge Trees

IEEE transactions on visualization and computer graphics

Machine learning assisted high-throughput screening of zeolites for the selective adsorption of xylene isomers


Toolbox for segmentation and characterisation of transient connectivity

Discovering dynamic brain networks from big data in rest and task

Task-Evoked Dynamic Network Analysis Through Hidden Markov Modeling

Behavioural relevance of spontaneous, transient brain network interactions in fMRI

Data and model considerations for estimating time-varying functional connectivity in fMRI

+microstate: A MATLAB toolbox for brain microstate analysis in sensor and cortical EEG/MEG

Differential dopaminergic modulation of spontaneous cortico-subthalamic activity in Parkinson’s disease

Dynamic analysis on simultaneous iEEG-MEG data via hidden Markov model

A Hidden Markov Model reveals magnetoencephalography spectral frequency-specific abnormalities of brain state power and phase-coupling in neuropathic pain

Spatiotemporally Resolved Multivariate Pattern Analysis for M/EEG

Frequency modulation of entorhinal cortex neuronal activity drives distinct frequency-dependent states of brain-wide dynamics


Memory with 64-bit indexes

WebAssembly as a Common Layer for the Cloud-edge Continuum

Proceedings of the 2nd Workshop on Flexible Resource and Application Management on the Edge

Fat Pointers for Temporal Memory Safety of C

Exploring the Use of WebAssembly in HPC


Bitextor generates translation memories from multilingual websites

ParaCrawl: Web-Scale Acquisition of Parallel Corpora

Meeting of the Association for Computational Linguistics

CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB

ParaCrawl: Web-scale parallel corpora for the languages of the EU

JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpus

NTT Neural Machine Translation Systems at WAT 2019

Empirical Methods in Natural Language Processing

A Targeted Attack on Black-Box Neural Machine Translation with Parallel Data Poisoning

JParaCrawl v3.0: A Large-scale English-Japanese Parallel Corpus

Machine Translation for English–Inuktitut with Segmentation, Data Acquisition and Pre-Training

Bicleaner AI: Bicleaner Goes Neural

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Unsupervised Parallel Corpus Mining on Web Data


A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

SSD: Single Shot MultiBox Detector

FaceNet: A Unified Embedding for Face Recognition and Clustering

DeepFace: Closing the Gap to Human-Level Performance in Face Verification

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

Deep Face Recognition

Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

Deep Learning Face Representation from Predicting 10,000 Classes

Deep Learning Face Representation by Joint Identification-Verification

Deeply learned face representations are sparse, selective, and robust

OpenFace: A general-purpose face recognition library with mobile applications


CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

RadGraph: Extracting Clinical Entities and Relations from Radiology Reports

MAIRA-1: A specialised large multimodal model for radiology report generation

MAIRA-2: Grounded Radiology Report Generation


Transformer based on a variant of attention that is linear complexity in respect to sequence length

Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention

GLU Variants Improve Transformer

Efficient Attention: Attention with Linear Complexities

Choose a Transformer: Fourier or Galerkin

Convolutional Xformers for Vision

BIOT: Cross-data Biosignal Learning in the Wild


Functional Benchmarks and the Reasoning Gap

Mixtral of Experts

Let's Verify Step by Step

Functional Benchmarks for Robust Evaluation of Reasoning Performance, and the Reasoning Gap


A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods

Dual-Channel Heterogeneous Graph Network for Author Name Disambiguation


Pytorch implementation of Graph U-Nets (ICML19)

Graph U-Nets

Deep Graph Mapper: Seeing Graphs Through the Neural Lens

Hierarchical message-passing graph neural networks

Adversarial Attacks on Graph Classification via Bayesian Optimisation

State of the Art and Potentialities of Graph-level Learning

Deep Graph Mapper: Seeing Graphs through the Neural Lens

Graph neural networks and attention-based CNN-LSTM for protein classification


Automatic colorizaton of grayscale images using Deep Learning

Learning Representations for Automatic Colorization

Image Colorization: A Survey and Dataset

Discovery of Visual Semantics by Unsupervised and Self-Supervised Representation Learning


Improved Techniques for Training GANs

StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

Generative Adversarial Text to Image Synthesis

Learning Deep Representations of Fine-grained Visual Descriptions

Cross Modal Compression: Towards Human-comprehensible Semantic Compression

PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2021

Image Manipulation with Natural Language using Two-sidedAttentive Conditional Generative Adversarial Network


A WaveRNN implementation

Efficient Neural Audio Synthesis

Improved Prosody from Learned F0 Codebook Representations for VQ-VAE Speech Waveform Reconstruction

Noise Tokens: Learning Neural Noise Templates for Environment-Aware Speech Enhancement

Pretraining Strategies, Waveform Model Choice, and Acoustic Configurations for Multi-Speaker End-to-End Speech Synthesis


ICLR 2018 Quick-Thought vectors

Contrastive Learning with Hard Negative Samples

An efficient framework for learning sentence representations

Debiased Contrastive Learning

RUSE: Regressor Using Sentence Embeddings for Automatic Machine Translation Evaluation

Proceedings of the Third Conference on Machine Translation: Shared Task Papers

Hard Negative Sampling Strategies for Contrastive Representation Learning

A Comparative Study on Structural and Semantic Properties of Sentence Embeddings

Clustering and Network Analysis for the Embedding Spaces of Sentences and Sub-Sentences


Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

Compact Bilinear Pooling

Grounding of Textual Phrases in Images by Reconstruction

Hadamard Product for Low-rank Bilinear Pooling

Analyzing the Behavior of Visual Question Answering Models

Fooling Vision and Language Models Despite Localization and Attention Mechanism

Dual Recurrent Attention Units for Visual Question Answering

Can you fool AI with adversarial examples on a visual Turing test

Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool


An OMNeT-based simulator for low-power wireless networks such as Wireless Sensor Networks and Body Area Networks

Survey of Machine Learning Based Intrusion Detection Methods for Internet of Medical Things

A Comprehensive Study on LPWANs With a Focus on the Potential of LoRa/LoRaWAN Systems

IEEE Communications Surveys and Tutorials

Energy-efficient routing in the proximity of a complicated hole in wireless sensor networks

Joint Transmission Power Control and Relay Cooperation for WBAN Systems

An Optimized Relay Selection Technique to Improve the Communication Reliability in Wireless Sensor Networks

Mutual Aid Among Sensors: An Emergency Function for Sensor Networks

Combining Network Coding and Retransmission Techniques to Improve the Communication Reliability of Wireless Sensor Network

BNS: A Framework for Wireless Body Area Network Realistic Simulations

Priority and Traffic-Aware Contention-Based Medium Access Control Scheme for Multievent Wireless Sensor Networks

Cross-Layer Routing for a Mobility Support Protocol Based on Handover Mechanism in Cluster-Based Wireless Sensor Networks with Mobile Sink


A Chinese legal case retrieval dataset.

Lawformer: A Pre-trained Language Model for Chinese Legal Long Documents

LEVEN: A Large-Scale Chinese Legal Event Detection Dataset

Prompt-based Effective Input Reformulation for Legal Case Retrieval

Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise


Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features

Matching Networks for One Shot Learning

Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks

Learning from Few Samples: A Survey

Meta-learning algorithms for Few-Shot Computer Vision


Unsupervised Neural Machine Translation

Unsupervised Neural Machine Translation

Rapid Adaptation of Neural Machine Translation to New Languages

Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization

Unsupervised Neural Machine Translation for English and Manipuri

Unsupervised Mandarin-Cantonese Machine Translation


Meta-Learning with Differentiable Convex Optimization

Meta-Learning with Latent Embedding Optimization

Leveraging the Feature Distribution in Transfer-based Few-Shot Learning

Few-Shot Learning by Integrating Spatial and Frequency Representation


Code for the ICML 2020 paper: Leveraging Frequency Analysis for Deep Fake Image Recognition.

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

RepMix: Representation Mixing for Robust Attribution of Synthesized Images


The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22)

Zero-Shot Text-to-Image Generation

DALL-EVAL: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models

The Vendi Score: A Diversity Evaluation Metric for Machine Learning

Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer

HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes


Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.

Graph Attention Networks

Inductive Representation Learning on Large Graphs

Unsupervised Attributed Multiplex Network Embedding

Knowledge Graphs Querying


ERGO-II, an updated version of ERGO including more features for TCR-peptide binding prediction

Contribution of T Cell Receptor Alpha and Beta CDR3, MHC Typing, V and J Genes to Peptide Binding Prediction

Can we predict T cell specificity with digital biology and machine learning?

BATMAN: Improved T cell receptor cross-reactivity prediction benchmarked on a comprehensive mutational scan database

bioRxiv : the preprint server for biology


Code release for Fried et al., Speaker-Follower Models for Vision-and-Language Navigation. in NeurIPS, 2018.

Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule

Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation


Learning Invariant Representations for Reinforcement Learning without Reconstruction

Provable RL with Exogenous Distractors via Multistep Inverse Dynamics

Learning Representations for Pixel-based Control: What Matters and Why?

Learning Domain Invariant Representations in Goal-conditioned Block MDPs

Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning

Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL


BERTje is a Dutch pre-trained BERT model developed at the University of Groningen. (EMNLP Findings 2020) "What’s so special about BERT’s layers? A closer look at the NLP pipeline in monolingual and multilingual models"

BERTje: A Dutch BERT Model

Exploring Cross-sentence Contexts for Named Entity Recognition with BERT

What's so special about BERT's layers? A closer look at the NLP pipeline in monolingual and multilingual models

Pre-training Polish Transformer-based Language Models at Scale

WikiBERT models: deep transfer learning for many languages

Constructing Taxonomies from Pretrained Language Models

Deception detection in text and its relation to the cultural dimension of individualism/collectivism

Accurate and Reliable Classification of Unstructured Reports on Their Diagnostic Goal Using BERT Models


A code implementation of new papers in the time series forecasting field.

iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

TSMixer: An All-MLP Architecture for Time Series Forecasting

SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting

PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting


This is the code for the NeurIPS 2019 paper Region Mutual Information Loss for Semantic Segmentation.

Contrastive Learning for Label Efficient Semantic Segmentation