MaskedFace-Net is a dataset of human faces with a correctly and incorrectly worn mask based on the dataset Flickr-Faces-HQ (FFHQ).

MaskedFace-Net – A dataset of correctly/incorrectly masked face images in the context of COVID-19

IoT and Deep Learning Based Approach for Rapid Screening and Face Mask Detection for Infection Spread Control of COVID-19

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

IEEE Transactions on Artificial Intelligence

Validating the correct wearing of protection mask by taking a selfie: design of a mobile application "CheckYourMask'' to limit the spread of COVID-19

HAL (Le Centre pour la Communication Scientifique Directe)

Spartan Face Mask Detection and Facial Recognition System

A Deep Learning-based Approach for Real-time Facemask Detection

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

Transportation research interdisciplinary perspectives

State of the Art of Quality Assessment of Facial Images


Official pytorch implementation of StyleMapGAN (CVPR 2021)

Progressive Growing of GANs for Improved Quality, Stability, and Variation

StarGAN v2: Diverse Image Synthesis for Multiple Domains

Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing

IA-FaceS: A Bidirectional Method for Semantic Face Editing


Code and data for MedQA

What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Benchmarking Retrieval-Augmented Generation for Medicine

Kformer: Knowledge Injection in Transformer Feed-Forward Layers

Small Language Models Learn Enhanced Reasoning Skills from Medical
  Textbooks

Improving medical reasoning through retrieval and self-reflection with retrieval-augmented large language models

MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning

An Automatic Evaluation Framework for Multi-turn Medical Consultations Capabilities of Large Language Models

Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models

PsyEval: A Suite of Mental Health Related Tasks for Evaluating Large Language Models

Automatic Interactive Evaluation for Large Language Models with State Aware Patient Simulator


Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Striving for Simplicity: The All Convolutional Net

LARNN: Linear Attention Recurrent Neural Network


BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation

SERAB: A multi-lingual benchmark for speech emotion recognition

BYOL for Audio: Exploring Pre-Trained General-Purpose Audio Representations

BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping

Hybrid Handcrafted and Learnable Audio Representation for Analysis of Speech Under Cognitive and Physical Load


Quick scripts to calculate CLIP text-image similarity

Learning Transferable Visual Models From Natural Language Supervision

Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models

Image Content Generation with Causal Reasoning

ObjectAdd: Adding Objects into Image via a Training-Free Diffusion Modification Fashion

SVG: 3D Stereoscopic Video Generation via Denoising Frame Matrix


Vietnamese stopwords

New Vietnamese Corpus for Machine Reading Comprehension of Health News Articles

A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts

Vietnamese Text Classification with TextRank and Jaccard Similarity Coefficient

Advances in Science, Technology and Engineering Systems Journal

Improving Sentiment Analysis By Emotion Lexicon Approach on Vietnamese Texts

Vietnamese Short Text Classification via Distributed Computation

International Journal of Advanced Computer Science and Applications


a sklearn wrapper for Google's BERT model

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

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

SciBERT: A Pretrained Language Model for Scientific Text

Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition

Living Machines: A study of atypical animacy

SemEval-2020 Task 5: Detecting Counterfactuals by Disambiguation.

Yseop at SemEval-2020 Task 5: Cascaded BERT Language Model for Counterfactual Statement Analysis

Agriculture Named Entity Recognition—Towards FAIR, Reusable Scholarly Contributions in Agriculture


A fork of exonerate: a generic tool for sequence alignment

Genomic diversifications of five Gossypium allopolyploid species and their impact on cotton improvement

The genomic landscape of molecular responses to natural drought stress in Panicum hallii

Technology dictates algorithms: Recent developments in read alignment

The telomere-to-telomere genome of Fragaria vesca reveals the genomic evolution of Fragaria and the origin of cultivated octoploid strawberry

Genome sequencing of turmeric provides evolutionary insights into its medicinal properties

The genome sequence of Aloe vera reveals adaptive evolution of drought tolerance mechanisms

Genomic basis of the giga-chromosomes and giga-genome of tree peony Paeonia ostii

Taxus yunnanensis genome offers insights into gymnosperm phylogeny and taxol production

Genome sequencing and comparative analysis of Ficus benghalensis and Ficus religiosa species reveal evolutionary mechanisms of longevity

Cepharanthine analogs mining and genomes of Stephania accelerate anti-coronavirus drug discovery


PyTorch Implementation of DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech

DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism

CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model

ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech

Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis

Adversarial Training of Denoising Diffusion Model Using Dual Discriminators for High-Fidelity Multi-Speaker TTS


Source code of Graph-Bert

Graph Self-Supervised Learning: A Survey

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

Graph-Bert: Only Attention is Needed for Learning Graph Representations

Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT

Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems

SEGEN: Sample-Ensemble Genetic Evolutional Network Model

Multimodal Graph-based Transformer Framework for Biomedical Relation Extraction


A versatile sequenced read processor for nanopore direct RNA sequencing

The Architecture of SARS-CoV-2 Transcriptome

Nanopore sequencing and its application to the study of microbial communities

Computational and structural biotechnology journal

Exploring differential exon usage via short- and long-read RNA sequencing strategies

Antisense lncRNA CHROMR is linked to glioma patient survival

RIPpore: A Novel Host-Derived Method for the Identification of Ricin Intoxication through Oxford Nanopore Direct RNA Sequencing


PyTorch Code of NAACL 2019 paper "Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout"

How Much Can CLIP Benefit Vision-and-Language Tasks?

Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information

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


Implementation of Retrosynthesis Prediction with Conditional Graph Logic Network

Accurate Learning of Graph Representations with Graph Multiset Pooling

Permutation invariant graph-to-sequence model for template-free retrosynthesis and reaction prediction

FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning

SynCluster: Reaction Type Clustering and Recommendation Framework for Synthesis Planning


Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks

MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels

Learning from Noisy Labels with Deep Neural Networks: A Survey

Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels

Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction

Empirical Methods in Natural Language Processing

Synthetic vs Real: Deep Learning on Controlled Noise


Automatic XRD classification for thin-film materials using CNNs, Class Activation Maps and Data Augmentation

Recent advances and applications of deep learning methods in materials science

Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks


Suite2p: beyond 10,000 neurons with standard two-photon microscopy

A transient developmental increase in prefrontal activity alters network maturation and causes cognitive dysfunction in adult mice

Miniscope-LFOV: A large-field-of-view, single-cell-resolution, miniature microscope for wired and wire-free imaging of neural dynamics in freely behaving animals

Hippocampal place codes are gated by behavioral engagement

Transient developmental increase of prefrontal activity alters network maturation and causes cognitive dysfunction in adult mice


Fast Neural Network Adaptation via Parameter Remapping and Architecture Search (ICLR2020 & TPAMI)

FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search

Neural Architecture Search Survey: A Computer Vision Perspective


Hate Speech Detection Library for Python.

Women, politics and Twitter: Using machine learning to change the discourse

A Telegram Corpus for Hate Speech, Offensive Language, and Online Harm

Leveraging cross-platform data to improve automated hate speech detection


A large labelled image dataset for benchmarking in federated learning

Deep Learning with Differential Privacy

Conference on Computer and Communications Security

Learning Differentially Private Recurrent Language Models

Differentially Private Learning with Adaptive Clipping

FLAIR: Federated Learning Annotated Image Repository

pfl-research: simulation framework for accelerating research in Private
  Federated Learning


Advanced RANSAC (DEGENSAC) with bells and whistles for H and F estimation

Image Matching Across Wide Baselines: From Paper to Practice

International Journal of Computer Vision

Patch2Pix: Epipolar-Guided Pixel-Level Correspondences

A Large-Scale Homography Benchmark


Disentanglement library for PyTorch

Variational Learning with Disentanglement-PyTorch

When are Post-hoc Conceptual Explanations Identifiable?

On the relationship between disentanglement and multi-task learning


A tensorflow implementation of MKR (Multi-task Learning for Knowledge Graph Enhanced Recommendation)

Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation

FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings

ACM Transactions on Intelligent Systems and Technology

Application of Knowledge Graphs to Provide Side Information for Improved Recommendation Accuracy


Evaluation code for Dense-Captioning Events in Videos

Jointly Localizing and Describing Events for Dense Video Captioning

Weakly Supervised Dense Event Captioning in Videos

Streamlined Dense Video Captioning

Watch, Listen and Tell: Multi-modal Weakly Supervised Dense Event Captioning

Relational Graph Learning for Grounded Video Description Generation

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

Parallel Pathway Dense Video Captioning With Deformable Transformer


Weights & Biases benchmark for drought prediction

Satellite-based Prediction of Forage Conditions for Livestock in Northern Kenya


Bonsai GPU tree code

An FMM Based on Dual Tree Traversal for Many-core Architectures

Modelling the Milky Way as a dry Galaxy

Monthly notices of the Royal Astronomical Society

Exploring the Sgr–Milky Way–disk Interaction Using High-resolution N-body Simulations

Trimodal structure of Hercules stream explained by originating from bar resonances

GOTHIC: Gravitational oct-tree code accelerated by hierarchical time step controlling

The effect of kick velocities on the spatial distribution of millisecond pulsars and implications for the Galactic center excess

Journal of Cosmology and Astroparticle Physics

Impact of bar resonances in the velocity-space distribution of the solar neighbourhood stars in a self-consistent N-body Galactic disc simulation

The galactic millisecond pulsar population : implications for the Galactic Center Excess.


Popular ECG QRS detectors written in python

RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG

Robust deep learning pipeline for PVC beats localization

Technology and health care : official journal of the European Society for Engineering and Medicine

Conditional Generation of Periodic Signals with Fourier-Based Decoder

Generative Pre-Trained Transformer for Cardiac Abnormality Detection


Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning

An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility

Multi-agent reinforcement learning for autonomous vehicles: a survey


Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks

Graph Neural Network for Traffic Forecasting: A Survey

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

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

Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment

Expressing Multivariate Time Series as Graphs with Time Series Attention Transformer

Deep Coupling Network For Multivariate Time Series Forecasting


Software package for Hankel structured low-rank approximation

Variable projection methods for approximate (greatest) common divisor computations

Fast and stable modification of the Gauss–Newton method for low‐rank signal estimation

Image space projection for low-rank signal estimation: Modified Gauss-Newton method


Code and model files for the paper: "A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction" (AAAI-18).

Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning

Controlling Grammatical Error Correction Using Word Edit Rate

Meeting of the Association for Computational Linguistics

Generating Inflectional Errors for Grammatical Error Correction in Hindi

International Joint Conference on Natural Language Processing

Construction of an Evaluation Corpus for Grammatical Error Correction for Learners of Japanese as a Second Language

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

Non-Autoregressive Grammatical Error Correction Toward a Writing Support System


A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR

Differentially-Private Data Synthetisation for Efficient Re-Identification Risk Control

Quantifying and Mitigating Privacy Risks for Tabular Generative Models

SynDiffix: More accurate synthetic structured data


Deep learning framework for atomistic image data

Recent advances and applications of deep learning methods in materials science

AtomVision: A Machine Vision Library for Atomistic Images

Recent progress in the JARVIS infrastructure for next-generation data-driven materials design


Radiative transfer code Dusty

Polar Dust, Nuclear Obscuration, and IR SED Diversity in Type-1 AGNs

Massive dust clumps in the envelope of the red supergiant VY Canis Majoris

Evolved massive stars at low-metallicity


FEELnc : FlExible Extraction of LncRNA

FEELnc: a tool for long non-coding RNA annotation and its application to the dog transcriptome

Oak genome reveals facets of long lifespan

FEELnc: A tool for Long non-coding RNAs annotation and its application to the dog transcriptome

Whole-Transcriptome Analysis of Non-Coding RNA Alteration in Porcine Alveolar Macrophage Exposed to Aflatoxin B1

Exploring the landscape of tools and resources for the analysis of long non-coding RNAs

Co-expression analysis of lncRNA and mRNA identifies potential adipogenesis regulatory non-coding RNAs involved in the transgenerational effects of tributyltin

LncRNAs Are Differentially Expressed between Wildtype and Cell Line Strains of African Trypanosomes

lncRNA-miRNA-mRNA network in kidney transcriptome of Labeo rohita under hypersaline environment


LambdaNet: Probabilistic Type Inference using Graph Neural Networks

Do Machine Learning Models Produce TypeScript Types That Type Check?

Advanced Graph-Based Deep Learning for Probabilistic Type Inference

Learning Type Inference for Enhanced Dataflow Analysis

Using Open-Source Software for Business, Urban, and Other Applications of Deep Neural Networks, Machine Learning, and Data Analytics Tools

International Journal of Artificial Intelligence and Machine Learning


[CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation

ManiGAN: Text-Guided Image Manipulation

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation

Towards Open-World Text-Guided Face Image Generation and Manipulation

An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild

TediGAN: Text-Guided Diverse Image Generation and Manipulation

Fast Text-to-3D-Aware Face Generation and Manipulation via Direct
  Cross-modal Mapping and Geometric Regularization


Jasmine: SV Merging Across Samples

Jasmine and Iris: population-scale structural variant comparison and analysis

Jasmine: Population-scale structural variant comparison and analysis

Evolutionary divergence of duplicated genomes in newly described allotetraploid cottons

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

Kled: an ultra-fast and sensitive structural variant detection tool for long-read sequencing data

Widespread incomplete lineage sorting and introgression shaped adaptive radiation in the Gossypium genus

Major impacts of widespread structural variation on sorghum


Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks

Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data

Post-selection inference with HSIC-Lasso

Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks

Applying causal discovery to single-cell analyses using CausalCell

Variation of DNA methylation on the IRX1/2 genes is responsible for the neural differentiation propensity in human induced pluripotent stem cells

Learning Sinkhorn divergences for supervised change point detection


An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

Evaluation of deep learning‐based artificial intelligence techniques for breast cancer detection on mammograms: Results from a retrospective study using a BreastScreen Victoria dataset

Journal of medical imaging and radiation oncology

Differences between human and machine perception in medical diagnosis

Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation

Meta-repository of screening mammography classifiers


Code accompanying our papers on the "Generative Distributional Control" framework

Fine-Tuning Language Models from Human Preferences

A Distributional Approach to Controlled Text Generation

On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting

Controlling Conditional Language Models without Catastrophic Forgetting

Energy-Based Models for Code Generation under Compilability Constraints


Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs

Effective Extensible Programming: Unleashing Julia on GPUs

IEEE Transactions on Parallel and Distributed Systems

Resolving hydromechanical coupling in two and three dimensions: spontaneous channelling of porous fluids owing to decompaction weakening

Rapid software prototyping for heterogeneous and distributed platforms

Disruptive Changes in Field Equation Modeling: A Simple Interface for Wafer Scale Engines


Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks

HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO

HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces

AMLB: an AutoML Benchmark

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

PFNs4BO: In-Context Learning for Bayesian Optimization

Large Language Models to Enhance Bayesian Optimization

Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization

GPU Accelerated Exhaustive Search for Optimal Ensemble of Black-Box Optimization Algorithms

LLaMoCo: Instruction Tuning of Large Language Models for Optimization
  Code Generation


A Fast and Safe Python based on PyPy

Twine: An Embedded Trusted Runtime for WebAssembly

International Conference on Data Engineering

Dynamic Binary Translation for SGX Enclaves

Understanding TEE Containers, Easy to Use? Hard to Trust

A Comprehensive Trusted Runtime for WebAssembly with Intel SGX

IEEE Transactions on Dependable and Secure Computing

SoK: A Systematic Review of TEE Usage for Developing Trusted Applications

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

Binary Compatibility For SGX Enclaves


Your library for dynamic language modeling

Open-Vocabulary Models for Source Code (Extended Abstract)

International Conference on Software Engineering

A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning

An Empirical Study on the Usage of BERT Models for Code Completion

An Empirical Study on the Usage of Transformer Models for Code Completion

Maybe Deep Neural Networks are the Best Choice for Modeling Source Code

Predictive Mutation Analysis via the Natural Language Channel in Source Code

ARIST: An Effective API Argument Recommendation Approach

On-the-Fly Adaptation of Source Code Models using Meta-Learning

Do People Prefer "Natural" code?

Combining Code Embedding with Static Analysis for Function-Call Completion


Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.

PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning

PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning

SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models


A machine learning method for the discovery of the minimum marker gene combinations for cell type identification from single-cell RNA sequencing

Conserved cell types with divergent features in human versus mouse cortex

Cell type discovery using single-cell transcriptomics: implications for ontological representation

A machine learning method for the discovery of minimum marker gene combinations for cell type identification from single-cell RNA sequencing


Interfacing several COVID-19 related datasets

Efficient Bayesian inference of instantaneous reproduction numbers at fine spatial scales, with an application to mapping and nowcasting the Covid-19 epidemic in British local authorities.

Journal of the Royal Statistical Society. Series A, (Statistics in Society)

Assaying Large-scale Testing Models to Interpret Covid-19 Case Numbers. A Cross-country Study

The Relative Contribution of Climatic, Demographic Factors, Disease Control Measures and Spatiotemporal Heterogeneity to Variation of Global COVID‐19 Transmission

Assaying Large-scale Testing Models to Interpret COVID-19 Case Numbers


Chinese Language Generation Evaluation 中文生成任务基准测评

LCSTS: A Large Scale Chinese Short Text Summarization Dataset

CPT: a pre-trained unbalanced transformer for both Chinese language understanding and generation

TextBox 2.0: A Text Generation Library with Pre-trained Language Models


fit piecewise linear data for a specified number of line segments

An Automatic Method for Detection and Update of Additive Changes in Road Network with GPS Trajectory Data

ISPRS International Journal of Geo-Information

The Effect of Thermal Pressure on Collisionless Magnetic Reconnection Rate

Learning and controlling the source-filter representation of speech with a variational autoencoder

Smart Charging of Electric Vehicles Considering SOC-Dependent Maximum Charging Powers

A Clustering Approach for the Analysis of InSAR Time Series: Application to the Bandung Basin (Indonesia)

An optimization method for paleomagnetic Euler pole analysis

Numerical Simulation of a Supersonic Ejector for Vacuum Generation with Explicit and Implicit Solver in Openfoam

Prediction of Olive Tree Water Requirements under Limited Soil Water Availability, Based on Sap Flow Estimations

A scheduling and control approach for an industrial furnace to minimize idle energy consumption.


Scattering.m — a MATLAB toolbox for wavelet scattering

Sleep Arousal Detection from Polysomnography using the Scattering Transform and Recurrent Neural Networks

Wavelet Scattering on the Pitch Spiral

Time-Frequency Scattering Accurately Models Auditory Similarities Between Instrumental Playing Techniques

Differentiable Time-Frequency Scattering on GPU

On Time-frequency Scattering and Computer Music

The Shape of RemiXXXes to Come: Audio Texture Synthesis with Time-frequency Scattering


(Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA imputation)

Extended Isolation Forest

IEEE Transactions on Knowledge and Data Engineering

Robust random cut forest based anomaly detection on streams

International Conference on Machine Learning

Isolation Kernel and Its Effect on SVM

Randomized outlier detection with trees

Revisiting randomized choices in isolation forests

Distance approximation using Isolation Forests

Imputing missing values with unsupervised random trees

Isolation forests: looking beyond tree depth

Anomaly Detection Based on Isolation Mechanisms: A Survey


Metabolomics Tools for Galaxy

MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis

Metabolomics: A Way Forward for Crop Improvement

Galaxy-M: a Galaxy workflow for processing and analyzing direct infusion and liquid chromatography mass spectrometry-based metabolomics data


Geoanalytics for climate and disaster risk screening


An open source and free tool to export terrain elevation, landuse, and georeferencing to NIST FDS for computational fluid dynamics (CFD) wildfire or atmospheric pollutants dispersion simulations.


Translation models for 22 scheduled languages of India

IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages

MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks

Assessing Translation capabilities of Large Language Models involving English and Indian Languages

INDIC QA BENCHMARK: A Multilingual Benchmark to Evaluate Question Answering capability of LLMs for Indic Languages


PyTorch Implementation of BioBERT

How Do Your Biomedical Named Entity Recognition Models Generalize to Novel Entities?

IEEE access : practical innovations, open solutions

LIQUID: A Framework for List Question Answering Dataset Generation

Simple Questions Generate Named Entity Recognition Datasets

Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context Information

2022 IEEE International Conference on Big Data (Big Data)

Regularization for Long Named Entity Recognition

EasyNER: A Customizable Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical Text


Recovering genes from targeted sequence capture data

HybPiper: Extracting coding sequence and introns for phylogenetics from high‐throughput sequencing reads using target enrichment

Paralogs and off-target sequences improve phylogenetic resolution in a densely-sampled study of the breadfruit genus (Artocarpus, Moraceae)

A Phylogenomic Perspective on Evolution and Discordance in the Alpine-Arctic Plant Clade Micranthes (Saxifragaceae)

Phylogenetic relationships of Atractylodes lancea, A. chinensis and A. macrocephala, revealed by complete plastome and nuclear gene sequences

hybpiper‐nf and paragone‐nf: Containerization and additional options for target capture assembly and paralog resolution

An updated and extended version of the Melastomataceae probe set for target capture


An open-source toolkit for textual backdoor attack and defense (NeurIPS 2022 D&B, Spotlight)

A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks

ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms

Task-Agnostic Detector for Insertion-Based Backdoor Attacks

Large Language Models Are Better Adversaries: Exploring Generative Clean-Label Backdoor Attacks Against Text Classifiers

Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots


Creative Commons Attribution Share Alike 4.0 International

STREUSLE: a corpus with comprehensive lexical semantic annotation (multiword expressions, supersenses)

Comprehensive Supersense Disambiguation of English Prepositions and Possessives

Multi-Task Learning for Sequence Tagging: An Empirical Study

Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning

International Conference on Computational Linguistics

Semantic Supersenses for English Possessives

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

Lexical Semantic Recognition

Adposition and Case Supersenses v2.6: Guidelines for English

Constructing an Annotated Corpus of Verbal MWEs for English

A Corpus of Adpositional Supersenses for Mandarin Chinese

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

Sprucing up Supersenses: Untangling the Semantic Clusters of Accompaniment and Purpose


Text2Text: Crosslingual NLP/G toolkit

CDConv: A Benchmark for Contradiction Detection in Chinese Conversations

Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency


Mean Field Multi-Agent Reinforcement Learning

An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility

Diverse Policy Optimization for Structured Action Space


A Baseline for Multilingual Sentiment Analysis

An Automated Text Categorization Framework based on Hyperparameter Optimization

A Simple Approach to Multilingual Polarity Classification in Twitter

EvoMSA: A Multilingual Evolutionary Approach for Sentiment Analysis

IEEE Computational Intelligence Magazine

INGEOTEC at SemEval 2017 Task 4: A B4MSA Ensemble based on Genetic Programming for Twitter Sentiment Analysis

Meeting of the Association for Computational Linguistics

INGEOTEC at SemEval-2019 Task 5 and Task 6: A Genetic Programming Approach for Text Classification

North American Chapter of the Association for Computational Linguistics

INGEOTEC at SemEval-2018 Task 1: EvoMSA and μTC for Sentiment Analysis


Sokoban environment for OpenAI Gym

The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction

There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning

BabyAI 1.1

Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks

Causal Reinforcement Learning: A Survey

Transfer Learning and Curriculum Learning in Sokoban

Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal

Learning the Arrow of Time

Potential-based Reward Shaping in Sokoban


Laplace approximations for Deep Learning.

Bayesian Deep Learning via Subnetwork Inference

Adapting the Linearised Laplace Model Evidence for Modern Deep Learning

Laplace Redux -- Effortless Bayesian Deep Learning

Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning

NeuralEF: Deconstructing Kernels by Deep Neural Networks

Scalable Bayesian Inference in the Era of Deep Learning: From Gaussian
  Processes to Deep Neural Networks


The open-source particle-in-cell post-processor.

Enhanced target normal sheath acceleration using colliding laser pulses

Demonstration of passive plasma lensing of a laser wakefield accelerated electron bunch

Controlling the Self-Injection Threshold in Laser Wakefield Accelerators

Characterization of laser-driven proton acceleration from water microdroplets


Prediction of prophages from bacterial genomes

Genomic and Biotechnological Characterization of the Heavy-Metal Resistant, Arsenic-Oxidizing Bacterium Ensifer sp. M14

The ESKAPE mobilome contributes to the spread of antimicrobial resistance and CRISPR-mediated conflict between mobile genetic elements

Whole genome analysis of host-associated lactobacillus salivarius and the effects on hepatic antioxidant enzymes and gut microorganisms of Sinocyclocheilus grahami

De Novo Sequencing Provides Insights Into the Pathogenicity of Foodborne Vibrio parahaemolyticus

Frontiers in cellular and infection microbiology

Genomic Diversity and Chromosomal Rearrangements in Neisseria gonorrhoeae and Neisseria meningitidis

International journal of molecular sciences

Complete genome sequence of Streptomyces strain VNUA116, a potential biocontrol against phytopathogenic fusarium wilt fungus Fusarium oxysporum f. sp. cubense


AUCell: score single cells with gene regulatory networks

Orthogonal cytokine engineering enables novel synthetic effector states escaping canonical exhaustion in tumor-rejecting CD8+ T cells

Integrative analysis of spatial transcriptome with single-cell transcriptome and single-cell epigenome in mouse lungs after immunization

Protocol for the isolation of CD8+ tumor-infiltrating lymphocytes from human tumors and their characterization by single-cell immune profiling and multiome


Python wrapper for the simple climate model MAGICC

Reduced Complexity Model Intercomparison Project Phase 1: introduction and evaluation of global-mean temperature response


open-source neutrino interaction library

Equation of State Effects in Core-Collapse Supernovae.

Formulating bulk viscosity for neutron star simulations

Long-term gravitational wave asteroseismology of supernovae: From core collapse to 20 seconds postbounce

Comparison of Electron Capture Rates in the N = 50 Region using 1D Simulations of Core-collapse Supernovae

Equation of state and neutrino transfer in supernovae and neutron stars

Gravitational Collapse of White Dwarfs to Neutron Stars. I. From Initial Conditions to Explosions with Neutrino-radiation Hydrodynamics Simulations

Gray two-moment neutrino transport: Comprehensive tests and improvements for supernova simulations


Task-based gene regulatory network inference using single-cell or bulk gene expression data conditioned on a prior network.

Gene regulatory network reconstruction using single-cell RNA sequencing of barcoded genotypes in diverse environments

Multi-study inference of regulatory networks for more accurate models of gene regulation

High performance single-cell gene regulatory network inference at scale: The Inferelator 3.0

Condition-Specific Modeling of Biophysical Parameters Advances Inference of Regulatory Networks

NetProphet 3: A Machine-learning framework for transcription factor network mapping and multi-omics integration

Zenodo (CERN European Organization for Nuclear Research)

Inferelator Example Data and Scripts


Massively parallel tensor network solver

Tensor-network study of correlation-spreading dynamics in the two-dimensional Bose-Hubbard model

TeNeS: Tensor network solver for quantum lattice systems

Dynamics of correlation spreading in low-dimensional transverse-field Ising models

MateriApps LIVE! and MateriApps Installer: Environment for starting and scaling up materials science simulations


JRCLUST

Cortical pattern generation during dexterous movement is input-driven

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

Disrupting cortico-cerebellar communication impairs dexterity

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

Cell-type-specific plasticity shapes neocortical dynamics for motor learning

bioRxiv : the preprint server for biology

Separating cognitive and motor processes in the behaving mouse


A collection of scripts to assist in the retrieval of data from the ENA Browser

The European Nucleotide Archive in 2021

Insights from Bacillus anthracis strains isolated from permafrost in the tundra zone of Russia

Community-curated and standardised metadata of published ancient metagenomic samples with AncientMetagenomeDir

mBodyMap: a curated database for microbes across human body and their associations with health and diseases

Discovery of the Pseudomonas Polyyne Protegencin by a Phylogeny-Guided Study of Polyyne Biosynthetic Gene Cluster Diversity

Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny

Mr.Vc v2: An updated version of database with increased data of transcriptome and experimental validated interactions

Bamboozle: A bioinformatic tool for identification and quantification of intraspecific barcodes


RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.

The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models

RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze!

RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models

Scaling Down, LiTting Up: Efficient Zero-Shot Listwise Reranking with Seq2seq Encoder-Decoder Models

ListT5: Listwise Reranking with Fusion-in-Decoder Improves Zero-shot
  Retrieval


Sustainable Development Goals tracker website


Computer vision library for wildfire detection  Deep learning models in PyTorch & ONNX for inference on edge devices (e.g. Raspberry Pi)


RaMP: A Comprehensive Relational Database of Metabolomics Pathways for Pathway Enrichment Analysis of Genes and Metabolites

Survey for Computer-Aided Tools and Databases in Metabolomics

Integration of Metabolomics and Transcriptomics to Identify Gene-Metabolite Relationships Specific to Phenotype

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


This is the implementation of Sparse Projection Oblique Randomer Forest

Sparse Projection Oblique Randomer Forests

Forest Packing: Fast, Parallel Decision Forests


MGARD: MultiGrid Adaptive Reduction of Data

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring

Scalable Hybrid Learning Techniques for Scientific Data Compression

Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs


Tools and methods for analysis of single cell assay data in R

MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data

Single-Cell RNA-Seq Technologies and Related Computational Data Analysis

A statistical approach for identifying differential distributions in single-cell RNA-seq experiments

Signatures of plasticity, metastasis, and immunosuppression in an atlas of human small cell lung cancer

T-cell dysfunction in the glioblastoma microenvironment is mediated by myeloid cells releasing interleukin-10

Single-Cell Transcriptomics Bioinformatics and Computational Challenges

Computational approaches for interpreting scRNA-seq data

Comparison of methods to detect differentially expressed genes between single-cell populations

Quantitative proteomics and single-nucleus transcriptomics of the sinus node elucidates the foundation of cardiac pacemaking

Culture impact on the transcriptomic programs of primary and iPSC-derived human alveolar type 2 cells


extract TEC, vTEC, Earthmagnetic field and Rotation Measures from GPS and WMM data for radio interferometry observations

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

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

Faraday tomography of the local interstellar medium with LOFAR: Galactic foregrounds towards IC 342

The effect of the ionosphere on ultra-low-frequency radio-interferometric observations

The Challenges of Low-Frequency Radio Polarimetry: Lessons from the Murchison Widefield Array

Publications of the Astronomical Society of Australia

New constraints on the magnetization of the cosmic web using LOFAR Faraday rotation observations

Monthly Notices of the Royal Astronomical Society

The intergalactic magnetic field probed by a giant radio galaxy

154 MHz Detection of Faint, Polarized Flares from UV Ceti

The POlarised GLEAM Survey (POGS) I: First results from a low-frequency radio linear polarisation survey of the southern sky

Polarized point sources in the LOFAR Two-meter Sky Survey: A preliminary catalog


Solax Inverter API Wrapper


Fast and frugal disk based k-mer counter

KMC 3: counting and manipulating k-mer statistics

KMC 2: fast and resource-frugal k-mer counting

Disk-based k-mer counting on a PC

Scalable, ultra-fast, and low-memory construction of compacted de Bruijn graphs with Cuttlefish 2

Mutational Pressure Drives Differential Genome Conservation in Two Bacterial Endosymbionts of Sap-Feeding Insects

Estimation of genome size using k-mer frequencies from corrected long reads

Subgenome dominance shapes novel gene evolution in the decaploid pitcher plant Nepenthes gracilis

SPRISS: Approximating Frequent k-mers by Sampling Reads, and Applications


Nested Sampling post-processing and plotting

KiDS-1000 Cosmology: Multi-probe weak gravitational lensing and spectroscopic galaxy clustering constraints

Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to modeling uncertainty

KiDS-1000 Cosmology: Constraints beyond flat ΛCDM

Dark Energy Survey Year 3 results: Constraints on extensions to
ΛCDM
 with weak lensing and galaxy clustering

Assessing tension metrics with dark energy survey and Planck data

Constraints on dark matter to dark radiation conversion in the late universe with DES-Y1 and external data

Quantifying Suspiciousness within correlated data sets

DES Y1 results: Splitting growth and geometry to test ΛCDM

A Unified Catalog-level Reanalysis of Stage-III Cosmic Shear Surveys

Curvature tension: evidence for a closed universe (supplementary inference products)


Computing reachable states of dynamical systems in Julia

Reach Set Approximation through Decomposition with Low-dimensional Sets and High-dimensional Matrices

ARCH-COMP19 Category Report: Continuous and Hybrid Systems with Linear Continuous Dynamics

ARCH-COMP20 Category Report: Continuous and Hybrid Systems with Nonlinear Dynamics

ARCH-COMP18 Category Report: Continuous and Hybrid Systems with Linear Continuous Dynamics

Conservative Time Discretization: A Comparative Study

Reachability Analysis of Linear Hybrid Systems via Block Decomposition

Efficient reachability analysis of parametric linear hybrid systems with time-triggered transitions

ARCH-COMP20 Category Report: Continuous and Hybrid Systems with Linear Continuous Dynamics


The Ludii general game system, developed as part of the ERC-funded Digital Ludeme Project.

General Board Game Concepts

Ludii Game Logic Guide

General Board Geometry

Extracting tactics learned from self-play in general games

Spatial State-Action Features for General Games

The Ludii Game Description Language is Universal


Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond

NoiseGrad: Enhancing Explanations by Introducing Stochasticity to Model Weights

Optimizing Explanations by Network Canonization and Hyperparameter Search

Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test


FeAture Explorer

Prediction of Post-hepatectomy Liver Failure in Patients With Hepatocellular Carcinoma Based on Radiomics Using Gd-EOB-DTPA-Enhanced MRI: The Liver Failure Model

Evaluating Solid Lung Adenocarcinoma Anaplastic Lymphoma Kinase Gene Rearrangement Using Noninvasive Radiomics Biomarkers

Diagnostic Performance of 2D and 3D T2WI-Based Radiomics Features With Machine Learning Algorithms to Distinguish Solid Solitary Pulmonary Lesion

Development and evaluation of a venous computed tomography radiomics model to predict lymph node metastasis from non-small cell lung cancer

Combination Analysis of a Radiomics-Based Predictive Model With Clinical Indicators for the Preoperative Assessment of Histological Grade in Endometrial Carcinoma

Multi-Parameter MR Radiomics Based Model to Predict 5-Year Progression-Free Survival in Endometrial Cancer

Hippocampal subfield alterations in pediatric patients with post-traumatic stress disorder

Social cognitive and affective neuroscience

Texture Analysis of Fat-Suppressed T2-Weighted Magnetic Resonance Imaging and Use of Machine Learning to Discriminate Nasal and Paranasal Sinus Small Round Malignant Cell Tumors

A Radiomics Model Based on Gd-EOB-DTPA-Enhanced MRI for the Prediction of Microvascular Invasion in Solitary Hepatocellular Carcinoma ≤ 5 cm

Development and External Validation of a Radiomics Model Derived from Preoperative Gadoxetic Acid-Enhanced MRI for Predicting Histopathologic Grade of Hepatocellular Carcinoma


General Toolkit for Modeling Radial Velocity Data

RadVel: The Radial Velocity Modeling Toolkit

Publications of the Astronomical Society of the Pacific

Age Determination in Upper Scorpius with Eclipsing Binaries

Masses and compositions of three small planets orbiting the nearby M dwarf L231-32 (TOI-270) and the M dwarf radius valley

Three’s Company: An Additional Non-transiting Super-Earth in the Bright HD 3167 System, and Masses for All Three Planets

Four Sub-Saturns with Dissimilar Densities: Windows into Planetary Cores and Envelopes

The CARMENES Search for Exoplanets around M Dwarfs: A Low-mass Planet in the Temperate Zone of the Nearby K2-18

zeus: a PYTHON implementation of ensemble slice sampling for efficient Bayesian parameter inference

Monthly notices of the Royal Astronomical Society

K2-66b and K2-106b: Two Extremely Hot Sub-Neptune-size Planets with High Densities

New Insights on Planet Formation in WASP-47 from a Simultaneous Analysis of Radial Velocities and Transit Timing Variations

Two Small Transiting Planets and a Possible Third Body Orbiting HD 106315


Data generation and submission scripts for the QCArchive ecosystem.

End-to-End Differentiable Molecular Mechanics Force Field Construction

Capturing non-local through-bond effects when fragmenting molecules for quantum chemical torsion scans

EspalomaCharge: Machine Learning-Enabled Ultrafast Partial Charge Assignment

Capturing non-local through-bond effects in molecular mechanics force fields: II. Using fractional bond orders to fit torsion parameters


Understand and reduce your carbon footprint  iOS & Android.


Finite Element Analysis Library in Python

Piecewise Divergence-Free Nonconforming Virtual Elements for Stokes Problem in Any Dimensions

H^m-Conforming Virtual Elements in Arbitrary Dimension

Geometric Decomposition and Efficient Implementation of High Order Face and Edge Elements

Virtual Element Methods Without Extrinsic Stabilization

An adaptive virtual element method for the polymeric self-consistent field theory

Computers and Mathematics with Applications

A Posteriori Error Analysis of the Hybrid High-Order Method for the Stokes Problem


A Monte Carlo simulation package for radio neutrino detectors

NuRadioMC: simulating the radio emission of neutrinos from interaction to detector

Targeting ultra-high energy neutrinos with the ARIANNA experiment

Tau neutrinos in the next decade: from GeV to EeV

The Next-Generation Radio Neutrino Observatory -- Multi-Messenger Neutrino Astrophysics at Extreme Energies

ARIANNA: Current developments and understanding the ice for neutrino detection


Compressed Video Action Recognition

Compressed Video Action Recognition

Faster and Accurate Compressed Video Action Recognition Straight from the Frequency Domain

SIBGRAPI Conference on Graphics, Patterns and Images

Deep Learning Towards Edge Computing: Neural Networks Straight from Compressed Data.


[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

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

Is It Worth It? Comparing Six Deep and Classical Methods for Unsupervised Anomaly Detection in Time Series

GTAD: Graph and Temporal Neural Network for Multivariate Time Series Anomaly Detection

LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via Latent Predictive Coding


Official PyTorch implementation of LongVideoGAN

Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models

Towards Accurate Generative Models of Video: A New Metric & Challenges

Generating Long Videos of Dynamic Scenes

ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation


RNA-Seq pipeline

Early genome activation in Drosophila is extensive with an initial tendency for aborted transcripts and retained introns

SAM68-Specific Splicing Is Required for Proper Selection of Alternative 3′ UTR Isoforms in the Nervous System

A comprehensive atlas of fetal splicing patterns in the brain of adult myotonic dystrophy type 1 patients

The splicing factor CCAR1 regulates the Fanconi anemia/BRCA pathway


A repository containing 300D character embeddings derived from the GloVe 840B/300D dataset, and uses these embeddings to train a deep learning model to generate Magic: The Gathering cards using Keras

TCS Research at SemEval-2018 Task 1: Learning Robust Representations using Multi-Attention Architecture

Ontology Matching Using Convolutional Neural Networks

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

Hybrid Feature Model for Emotion Recognition in Arabic Text

dpUGC: Learn Differentially Private Representation for User Generated Contents

Matching sensor ontologies through siamese neural networks without using reference alignment

Learning representations for sentiment classification using Multi-task framework

Empirical Methods in Natural Language Processing

Related Tasks can Share! A Multi-task Framework for Affective language


ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring

Clustering by Maximizing Mutual Information Across Views

ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning

International Joint Conference on Neural Network


speech self-supervised representations

ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers

The VoicePrivacy 2024 Challenge Evaluation Plan

A Comparative Study of Voice Conversion Models With Large-Scale Speech and Singing Data: The T13 Systems for the Singing Voice Conversion Challenge 2023

Adversarial Speaker Disentanglement Using Unannotated External Data for Self-supervised Representation-based Voice Conversion

VITS-Based Singing Voice Conversion System with DSPGAN Post-Processing for SVCC2023


PubMed 200k RCT dataset: a large dataset for sequential sentence classification.

PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts

Neural Networks for Joint Sentence Classification in Medical Paper Abstracts

Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts


An implementation of the Goodman & Weare MCMC sampler for matlab

Tracing the stellar component of low surface brightness Milky Way dwarf galaxies to their outskirts

In Situ Determination of Droplet and Nanoparticle Size Distributions in Spray Flame Synthesis by Wide-Angle Light Scattering (WALS)

Variable stars in Local Group galaxies - V. The fast and early evolution of the low-mass Eridanus II dSph galaxy

Revisiting the luminosity and redshift distributions of long gamma-ray bursts

Constraining Cosmological Parameters Using the Cluster Mass–Richness Relation

Probabilistic Inversions for Time–Distance Helioseismology

The Stellar-mass Function of Long Gamma-Ray Burst Host Galaxies

Parameter estimation for X-ray scattering analysis with Hamiltonian Markov Chain Monte Carlo


Standalone C library for assembling Illumina short reads in small regions

Kevlar: A Mapping-Free Framework for Accurate Discovery of De Novo Variants

Clonal Evolution Dynamics in Primary and Metastatic Lesions of Pancreatic Neuroendocrine Neoplasms

Virtual Genome Walking: Generating gene models for the salamander Ambystoma mexicanum


Time-Aware LSTM

Patient Subtyping via Time-Aware LSTM Networks

A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance.

CATNet: Cross-event Attention-based Time-aware Network for Medical Event Prediction


Short  Text Topic Modeling, JAVA

Short Text Topic Modeling Techniques, Applications, and Performance: A Survey

STTM: A Tool for Short Text Topic Modeling

Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations

A Survey on Neural Topic Models: Methods, Applications, and Challenges

A Gamma-Poisson Mixture Topic Model for Short Text

Diversity-Aware Coherence Loss for Improving Neural Topic Models


ASTER in Pytorch

ASTER: An Attentional Scene Text Recognizer with Flexible Rectification

IEEE transactions on pattern analysis and machine intelligence

Scene Text Image Super-Resolution in the Wild

TextSR: Content-Aware Text Super-Resolution Guided by Recognition

Text Prior Guided Scene Text Image Super-Resolution

Rethinking Irregular Scene Text Recognition

FedOCR: Communication-Efficient Federated Learning for Scene Text Recognition

TextMatcher: Cross-Attentional Neural Network to Compare Image and Text


Universal Sentence Encoder

BioWordVec, improving biomedical word embeddings with subword information and MeSH

BioSentVec: creating sentence embeddings for biomedical texts

IEEE International Conference on Healthcare Informatics

MedSTS: A Resource for Clinical Semantic Textual Similarity

Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer!

Generalized Zero-shot ICD Coding

Word embedding mining for SARS-CoV-2 and COVID-19 drug repurposing

An Artificial Intelligence Tool for Clinical Decision Support and Protocol Selection for Brain MRI

The effects of gender bias in word embeddings on depression prediction


MP2RAGE Scripts - T1 map correction & Background noise removal

The impact of B1+ correction on MP2RAGE cortical T1 and apparent cortical thickness at 7T

Impulsive prepotent actions and tics in Tourette disorder underpinned by a common neural network

The Queensland Twin Adolescent Brain Project, a longitudinal study of adolescent brain development

Examples of sub-millimeter, 7T, T1-weighted EPI datasets acquired with the T123DEPI sequence

Integrated intravoxel incoherent motion tensor and diffusion tensor brain MRI in a single fast acquisition

Optimization of acquisition parameters for cortical inhomogeneous magnetization transfer (ihMT) imaging using a rapid gradient echo readout


TuckER: Tensor Factorization for Knowledge Graph Completion

Temporal Knowledge Graph Forecasting with Neural ODE

Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study

LowFER: Low-rank Bilinear Pooling for Link Prediction

Cognitive Knowledge Graph Reasoning for One-shot Relational Learning

Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion

On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods

Single UHD Image Dehazing via Interpretable Pyramid Network

Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models

NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion


Code and data for "Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling" (NAACL2019)

A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges

North American Chapter of the Association for Computational Linguistics

Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction

Enhancement of Target-Oriented Opinion Words Extraction with Multiview-Trained Machine Reading Comprehension Model

Computational intelligence and neuroscience

Is “hot pizza” Positive or Negative? Mining Target-aware Sentiment Lexicons

Conference of the European Chapter of the Association for Computational Linguistics


Global Carbon Budget Data Package


Rectified Rotary Position Embeddings

YaRN: Efficient Context Window Extension of Large Language Models

LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon

Transformers Can Achieve Length Generalization But Not Robustly

Training-Free Long-Context Scaling of Large Language Models

The What, Why, and How of Context Length Extension Techniques in Large Language Models -- A Detailed Survey

Hierarchical Context Merging: Better Long Context Understanding for
  Pre-trained LLMs

Extending LLMs' Context Window with 100 Samples

Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarks

LongHeads: Multi-Head Attention is Secretly a Long Context Processor


Supervised and RL Models for No Press Diplomacy

No Press Diplomacy: Modeling Multi-Agent Gameplay

Modeling Strong and Human-Like Gameplay with KL-Regularized Search

No-Press Diplomacy from Scratch


Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval [ICCV'21]

Egocentric Video-Language Pretraining

FitCLIP: Refining Large-Scale Pretrained Image-Text Models for Zero-Shot Video Understanding Tasks

Egocentric Video-Language Pretraining @ Ego4D Challenge 2022

Egocentric Video-Language Pretraining @ EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2022


ArcFace unofficial Implemented in Tensorflow 2.0+ (ResNet50, MobileNetV2). "ArcFace: Additive Angular Margin Loss for Deep Face Recognition" Published in CVPR 2019. With Colab.

Deep Residual Learning for Image Recognition

MobileNetV2: Inverted Residuals and Linear Bottlenecks

IEEE Transactions on Pattern Analysis and Machine Intelligence

You trust a face like yours

Humanities and Social Sciences Communications

Exploring the Interchangeability of CNN Embedding Spaces

Canonical Face Embeddings

Common CNN-based Face Embedding Spaces are (Almost) Equivalent.

OTB-morph: One-time Biometrics via Morphing


Denoising Diffusion Implicit Models

Denoising Diffusion Implicit Models

DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps

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

Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models

EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations

Noise Estimation for Generative Diffusion Models

DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

Q-Diffusion: Quantizing Diffusion Models

Non Gaussian Denoising Diffusion Models

Denoising Diffusion Gamma Models


Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper

ImageNet-21K Pretraining for the Masses

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

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

CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model

A Unified and Biologically-Plausible Relational Graph Representation of Vision Transformers


大模型多维度中文对齐评测基准 (ACL 2024)

CritiqueLLM: Scaling LLM-as-Critic for Effective and Explainable Evaluation of Large Language Model Generation

AlignBench: Benchmarking Chinese Alignment of Large Language Models

ChatGLM-RLHF: Practices of Aligning Large Language Models with Human
  Feedback


Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

The Description Length of Deep Learning Models

Is MC Dropout Bayesian?

Practical Camera Sensor Spectral Response and Uncertainty Estimation

TyXe: Pyro-based Bayesian neural nets for Pytorch


Practical low-rank gradient compression for distributed optimization:  https://arxiv.org/abs/1905.13727

Zero-Shot Text-to-Image Generation

PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization

Natural Compression for Distributed Deep Learning

PowerGossip: Practical Low-Rank Communication Compression in Decentralized Deep Learning

Rethinking gradient sparsification as total error minimization

Accordion: Adaptive Gradient Communication via Critical Learning Regime Identification

IntSGD: Adaptive Floatless Compression of Stochastic Gradients

S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning


MITObim - mitochondrial baiting and iterative mapping

Reconstructing mitochondrial genomes directly from genomic next-generation sequencing reads—a baiting and iterative mapping approach

A systematic comparison of chloroplast genome assembly tools

Museum Genomics Confirms that the Lord Howe Island Stick Insect Survived Extinction

Atp8 is in the ground pattern of flatworm mitochondrial genomes

Complete Chloroplast Genome Sequence of Malus hupehensis: Genome Structure, Comparative Analysis, and Phylogenetic Relationships

The Transcriptomes of Xiphinema index and Longidorus elongatus Suggest Independent Acquisition of Some Plant Parasitism Genes by Horizontal Gene Transfer in Early-Branching Nematodes

Complete mitochondrial genome of the super mealworm Zophobas atratus (Fab.) (Insecta: Coleoptera: Tenebrionidae)

Chloroplast Genome Variation and Evolutionary Analysis of Olea europaea L.

Widespread conservation of chromatin accessibility patterns and transcription factor binding in human and chimpanzee induced pluripotent stem cells

The Complete Mitogenomes of Three Grasshopper Species with Special Notes on the Phylogenetic Positions of Some Related Genera


An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Deep Learning using Linear Support Vector Machines

A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data

PROCEEDINGS OF 2018 10TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND COMPUTING (ICMLC 2018)

An Architecture Combining Convolutional Neural Network (CNN) and Support Vector Machine (SVM) for Image Classification


download climate data from DWD (German Weather Service)

Potsdam Şehri Hava Sıcaklığının Dalgacık Regresyon Analizi ile Tahmini

Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi


(ICCV 2021 Oral) CoaT: Co-Scale Conv-Attentional Image Transformers

MPViT: Multi-Path Vision Transformer for Dense Prediction

Transformers in computational visual media: A survey

Blending Anti-Aliasing into Vision Transformer


pytorch version of the SAFE neural network

SAFE: Self-Attentive Function Embeddings for Binary Similarity

jTrans: jump-aware transformer for binary code similarity detection

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

Scalable Program Clone Search through Spectral Analysis

jTrans: Jump-Aware Transformer for Binary Code Similarity


A factor analysis package

Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells

Co-expression analysis reveals interpretable gene modules controlled by trans-acting genetic variants

Optimizing expression quantitative trait locus mapping workflows for single-cell studies

Proteogenomic analysis of lung adenocarcinoma reveals tumor heterogeneity, survival determinants, and therapeutically relevant pathways

Genetic architecture of gene regulation in Indonesian populations identifies QTLs associated with global and local ancestries

Genetic determinants of blood gene expression and splicing and their contribution to molecular phenotypes and health outcomes

A computational approach for identification of core modules from a co-expression network and GWAS data

Colocalization of blood cell traits GWAS associations and variation in PU.1 genomic occupancy prioritizes causal noncoding regulatory variants

bioRxiv : the preprint server for biology


goscanner is a tool for large-scale TLS and SSH scans

Active TLS Stack Fingerprinting: Characterizing TLS Server Deployments at Scale

A First Look at SVCB and HTTPS DNS Resource Records in the Wild

2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)

Packed to the Brim: Investigating the Impact of Highly Responsive Prefixes on Internet-wide Measurement Campaigns


OpenClimateGIS is a set of geoprocessing and calculation tools for CF-compliant climate datasets.


Entity Alignment toolkit (EAkit), a lightweight, easy-to-use and highly extensible PyTorch implementation of many entity alignment algorithms.

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

Convolutional 2D Knowledge Graph Embeddings

Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction

μKG: A Library for Multi-source Knowledge Graph Embeddings and Applications


Variational Adversarial Active Learning (ICCV 2019)

Variational Adversarial Active Learning

Data-Efficient Learning via Minimizing Hyperspherical Energy

Graceful Degradation and Related Fields


Effective Mass Calculator for Semiconductors

Structural, elastic, thermal, and electronic responses of small-molecule-loaded metal–organic framework materials

Effects of the Hubbard U on density functional-based predictions of BiFeO3 properties

Journal of physics. Condensed matter : an Institute of Physics journal

Decouple electronic and phononic transport in nanotwinned structures: a new strategy for enhancing the figure-of-merit of thermoelectrics

Large exciton binding energies in MnPS3 as a case study of a van der Waals layered magnet

High-throughput calculation screening for new silicon allotropes with monoclinic symmetry

Effective mass path integral simulations of quasiparticles in condensed phases


Implementation of Sequential Attend, Infer, Repeat (SQAIR)

Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects

Structured Object-Aware Physics Prediction for Video Modeling and Planning

Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking

Variational Tracking and Prediction with Generative Disentangled State-Space Models


Create DSSP and HSSP files

ProSPr: Democratized Implementation of Alphafold Protein Distance Prediction Network

Data set of intrinsically disordered proteins analysed at a local protein conformation level

Facilities that make the PDB data collection more powerful

Protein science : a publication of the Protein Society


Environmental modeling software

High resolution annual average air pollution concentration maps for the Netherlands

Zenodo (CERN European Organization for Nuclear Research)


Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Autoencoding Under Normalization Constraints

Interpreting rate-distortion of variational autoencoder and using model uncertainty for anomaly detection

What do we learn? Debunking the Myth of Unsupervised Outlier Detection


PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned Lossless Image Compression"

Learned Lossless Image Compression Through Interpolation With Low Complexity

GOLLIC: Learning Global Context beyond Patches for Lossless High-Resolution Image Compression

Learned Lossless Compression for JPEG via Frequency-Domain Prediction


Public repository for Coptic SCRIPTORIUM Corpora Releases

Named Entity Recognition and Classification in Historical Documents: A Survey

Exhaustive Entity Recognition for Coptic: Challenges and Solutions


Extremely simple and fast extreme multi-class and multi-label classifiers.

Efficient set-valued prediction in multi-class classification

Probabilistic Label Trees for Extreme Multi-label Classification

Online probabilistic label trees

Propensity-scored Probabilistic Label Trees

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


Segtok v2 is here: https://github.com/fnl/syntok -- A rule-based sentence segmenter (splitter) and a word tokenizer using orthographic features.

Not Low-Resource Anymore: Aligner Ensembling, Batch Filtering, and New Datasets for Bengali-English Machine Translation

On the Use of Context for Predicting Citation Worthiness of Sentences in Scholarly Articles

BasqueParl: A Bilingual Corpus of Basque Parliamentary Transcriptions

CiteCaseLAW: Citation Worthiness Detection in Caselaw for Legal Assistive Writing

A Biomedical Entity Extraction Pipeline for Oncology Health Records in Portuguese

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing

BELHD: improving biomedical entity linking with homonym disambiguation


Descriptor computation(chemistry) and (optional) storage for machine learning

DeepPurpose: a deep learning library for drug–target interaction prediction

Analyzing Learned Molecular Representations for Property Prediction

Does GNN Pretraining Help Molecular Representation?

High-throughput synthesis provides data for predicting molecular properties and reaction success

Improving Compound Activity Classification via Deep Transfer and Representation Learning

MUBen: Benchmarking the Uncertainty of Molecular Representation Models


Attributing predictions made by the Inception network using the Integrated Gradients method

Axiomatic Attribution for Deep Networks

Explainable AI Methods - A Brief Overview

Did the Model Understand the Question?

Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries

Gradients of Counterfactuals

Attribution in Scale and Space

Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution

International Conference on Pattern Recognition

Cancer Type Classification in Liquid Biopsies Based on Sparse Mutational Profiles Enabled through Data Augmentation and Integration

Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution

Towards a Resilient Machine Learning Classifier -- a Case Study of Ransomware Detection


A genomic k-mer counter (and sequence utility) with nice features.

Merqury: reference-free quality, completeness, and phasing assessment for genome assemblies

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

Complete vertebrate mitogenomes reveal widespread repeats and gene duplications

Evolutionary and biomedical insights from a marmoset diploid genome assembly

Structural variant-based pangenome construction has low sensitivity to variability of haplotype-resolved bovine assemblies

Profiling of Antimicrobial Metabolites Synthesized by the Endophytic and Genetically Amenable Biocontrol Strain Bacillus velezensis DMW1

Reference Genome Assembly of the Big Berry Manzanita (Arctostaphylos glauca)

Genome assembly and annotation of the tambaqui (Colossoma macropomum): an emblematic fish of the Amazon River Basin

De novo assembly of a chromosome-level reference genome for the California Scrub-Jay, Aphelocoma californica

A draft reference genome of the red abalone, Haliotis rufescens, for conservation genomics


A Three Party MPC framework for Machine learning and Databases

Secrecy: Secure collaborative analytics on secret-shared data

Federated Learning for Intrusion Detection in the Critical Infrastructures: Vertically Partitioned Data Use Case

Privacy-preserving collaborative machine learning on genomic data using TensorFlow

Compact: Approximating Complex Activation Functions for Secure Computation


The add-on "Carbonalyser" allows to visualize the electricity consumption and greenhouse gases (GHG) emissions that your Internet browsing leads to.


Compact and highly active next-generation libraries for CRISPR-mediated gene repression and activation

SLC19A1 transports immunoreactive cyclic dinucleotides

Combined CRISPRi/a-Based Chemical Genetic Screens Reveal that Rigosertib Is a Microtubule-Destabilizing Agent

Titrating gene expression using libraries of systematically attenuated CRISPR guide RNAs

A curative combination cancer therapy achieves high fractional cell killing through low cross-resistance and drug additivity

Cellular response to small molecules that selectively stall protein synthesis by the ribosome

Genome-wide CRISPRi screening identifies OCIAD1 as a prohibitin client and regulatory determinant of mitochondrial Complex III assembly in human cells

Improving prime editing with an endogenous small RNA-binding protein

FBXL4 ubiquitin ligase deficiency promotes mitophagy by elevating NIX levels

IFITM proteins assist cellular uptake of diverse linked chemotypes


The Tianlai pipeline.

The Tianlai dish pathfinder array: design, operation, and performance of a prototype transit radio interferometer

Monthly notices of the Royal Astronomical Society

Progress in the Construction and Testing of the Tianlai Radio Interferometers

An Eigenvector-Based Method of Radio Array Calibration and Its Application to the Tianlai Cylinder Pathfinder

Data processing pipeline for Tianlai experiment

A Simulation of Calibration and Map-making Errors of the Tianlai Cylinder Pathfinder Array


Deep count autoencoder for denoising scRNA-seq data

False signals induced by single-cell imputation

A Comparison for Dimensionality Reduction Methods of Single-Cell RNA-seq Data

Chromatin-accessibility estimation from single-cell ATAC-seq data with scOpen

A universal deep neural network for in-depth cleaning of single-cell RNA-Seq data

IDEAS: individual level differential expression analysis for single-cell RNA-seq data

Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review

基因组蛋白质组与生物信息学报

SCDRHA: A scRNA-Seq Data Dimensionality Reduction Algorithm Based on Hierarchical Autoencoder

Imputation Methods for scRNA Sequencing Data

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

Bayesian Non-linear Latent Variable Modeling via Random Fourier Features


TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering

TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters

Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation


Modern implementation of the hybrid genetic search (HGS) algorithm specialized to the capacitated vehicle routing problem (CVRP). This code also includes an additional neighborhood called SWAP*.

Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood

Deep Policy Dynamic Programming for Vehicle Routing Problems

Learning to Delegate for Large-scale Vehicle Routing

Towards Omni-generalizable Neural Methods for Vehicle Routing Problems

A capacitated multi-vehicle covering tour problem on a road network and its application to waste collection

Routing Arena: A Benchmark Suite for Neural Routing Solvers


RXNMapper: Unsupervised attention-guided atom-mapping. Code complementing our Science Advances publication on "Extraction of organic chemistry grammar from unsupervised learning of chemical reactions" (https://advances.sciencemag.org/content/7/15/eabe4166).

Unsupervised Attention-Guided Atom-Mapping

Towards out-of-distribution generalizable predictions of chemical kinetics properties


Optical ray tracing for luminescent materials and spectral converter photovoltaic devices

Luminescent solar concentrators with fiber geometry

Development of an Off‐Grid Solar‐Powered Autonomous Chemical Mini‐Plant for Producing Fine Chemicals

An Open-Source Monte Carlo Ray-Tracing Simulation Tool for Luminescent Solar Concentrators with Validation Studies Employing Scattering Phosphor Films

Numerical Method for Calculation of Power Conversion Efficiency and Colorimetrics of Rectangular Luminescent Solar Concentrators

Ray-Trace Modeling to Characterize Efficiency of Unconventional Luminescent Solar Concentrator Geometries


Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Addressing Function Approximation Error in Actor-Critic Methods

Overcoming Exploration in Reinforcement Learning with Demonstrations

Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards


AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification

AiTLAS: Artificial Intelligence Toolbox for Earth Observation

When it comes to Earth observations in AI for disaster risk reduction, is it feast or famine? A topical review


Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.

Celer: a Fast Solver for the Lasso with Dual Extrapolation

Dual Extrapolation for Sparse Generalized Linear Models

Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso

On Newton Screening


AquaCrop-OSPy: Python implementation of AquaCrop-OS

AquaCrop-OS: An open source version of FAO's crop water productivity model

AquaCrop-OSPy: Bridging the gap between research and practice in crop-water modeling


Multi-sample somatic variant caller

KRAS mutations in blood circulating cell-free DNA: a pancreatic cancer case-control

Circulating tumor DNA detection in head and neck cancer: evaluation of two different detection approaches

Needlestack: an ultra-sensitive variant caller for multi-sample next generation sequencing data


XenonPy is a Python Software for Materials Informatics

Transfer learning for materials informatics using crystal graph convolutional neural network

Exploring diamondlike lattice thermal conductivity crystals via feature-based transfer learning

Machine Learning to Predict Quasicrystals from Chemical Compositions

Study of Deep Generative Models for Inorganic Chemical Compositions

Recreation of the Periodic Table with an Unsupervised Machine Learning Algorithm

Shotgun crystal structure prediction using machine-learned formation energies


Cytometry dATa anALYsis Tools

Rapid and stable mobilization of CD8+ T cells by SARS-CoV-2 mRNA vaccine

Neurocognitive and hypokinetic movement disorder with features of parkinsonism after BCMA-targeting CAR-T cell therapy

Impaired function and delayed regeneration of dendritic cells in COVID-19

Longitudinal liver sampling in patients with chronic hepatitis B starting antiviral therapy reveals hepatotoxic CD8+ T cells

Removing unwanted variation with CytofRUV to integrate multiple CyTOF datasets

Developing Human Skin Contains Lymphocytes Demonstrating a Memory Signature

High-dimensional profiling reveals Tc17 cell enrichment in active Crohn’s disease and identifies a potentially targetable signature

Multiplex imaging of breast cancer lymph node metastases identifies prognostic single-cell populations independent of clinical classifiers

Characterization of the Impact of Daclizumab Beta on Circulating Natural Killer Cells by Mass Cytometry

Natural Killer Cell Receptors and Ligands Are Associated With Markers of HIV-1 Persistence in Chronically Infected ART Suppressed Patients

Frontiers in cellular and infection microbiology


PASSL包含 SimCLR，MoCo v1/v2，BYOL，CLIP，PixPro，simsiam, SwAV, BEiT，MAE   等图像自监督算法以及 Vision Transformer，DEiT，Swin Transformer，CvT，T2T-ViT，MLP-Mixer，XCiT，ConvNeXt，PVTv2 等基础视觉算法

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

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Learning Transferable Visual Models From Natural Language Supervision

Momentum Contrast for Unsupervised Visual Representation Learning

Bootstrap your own latent: A new approach to self-supervised Learning

A ConvNet for the 2020s

Emerging Properties in Self-Supervised Vision Transformers

Exploring Simple Siamese Representation Learning

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

MLP-Mixer: An all-MLP Architecture for Vision


Toolkit of BDD100K Dataset for Heterogeneous Multitask Learning - CVPR 2020 Oral Paper

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization

OdoViz: A 3D Odometry Visualization and Processing Tool


Graph deep learning library for materials

Relational inductive biases, deep learning, and graph networks

TensorNet: Cartesian Tensor Representations for Efficient Learning of Molecular Potentials

Systematic assessment of various universal machine-learning interatomic
  potentials

Performance Assessment of Universal Machine Learning Interatomic
  Potentials: Challenges and Directions for Materials' Surfaces

Crystalformer: Infinitely Connected Attention for Periodic Structure
  Encoding


Estimating potential environmental impacts of goods and services in the US economy

LCIA Formatter

useeior: An Open-Source R Package for Building and Using US Environmentally-Extended Input–Output Models

Incorporating New Technologies in EEIO Models


Toolbox for including enzyme constraints on a genome-scale model.

Improving the phenotype predictions of a yeast genome‐scale metabolic model by incorporating enzymatic constraints

Reconstruction of a catalogue of genome-scale metabolic models with enzymatic constraints using GECKO 2.0

Conjugation dynamics depend on both the plasmid acquisition cost and the fitness cost

Metastatic triple negative breast cancer adapts its metabolism to destination tissues while retaining key metabolic signatures

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

Yeast metabolic innovations emerged via expanded metabolic network and gene positive selection

Diauxic lags explain unexpected coexistence in multi-resource environments

A spatial model of the plant circadian clock reveals design principles for coordinated timing

Systematic discovery of protein interaction interfaces using AlphaFold and experimental validation

The Expanding Computational Toolbox for Engineering Microbial Phenotypes at the Genome Scale

Detection of PatIent-Level distances from single cell genomics and pathomics data with Optimal Transport (PILOT)


Convert ONNX models to PyTorch.

Evidence of Learned Look-Ahead in a Chess-Playing Neural Network

Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition

DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition Models


Driven similarity renormalization group: Third-order multireference perturbation theory

Automatic derivation of many-body theories based on general Fermi vacua.

Analytic energy gradients for the driven similarity renormalization group multireference second-order perturbation theory

Analytical Gradient Theory for Spin-Free State-Averaged Second-Order Driven Similarity Renormalization Group Perturbation Theory (SA-DSRG-MRPT2) and Its Applications for Conical Intersection Optimizations

Frozen Natural Orbitals for the State-Averaged Driven Similarity Renormalization Group

Forte: A Suite of Advanced Multireference Quantum Chemistry Methods


Resource Watch features hundreds of data sets all in one place on the state of the planet’s resources and citizens. Users can visualize challenges facing people and the planet, from climate change to poverty, water risk to state instability, air pollution to human migration, and more.


Your climate action is here  Our API is a source for learning how climate change personally affects you and the things you care about most. Additionally, it will teach a scientifically proven method for communicating to others that climate change is a personally relevant issue to inspire action.


SHiP experiment framework based on FairRoot

9.6 Million Links in Source Code Comments: Purpose, Evolution, and Decay

Sensitivity of the SHiP experiment to light dark matter

Production of GeV-scale heavy neutral leptons in three-body decays. Comparison with the PYTHIA approach

Journal of Physics G: Nuclear and Particle Physics

Segmentation of EM showers for neutrino experiments with deep graph neural networks

Electromagnetic shower generation with Graph Neural Networks


Face Aging with Identity-Preserved Conditional Generative Adversarial Networks

Mitigating Demographic Bias in Facial Datasets with Style-Based Multi-attribute Transfer

International Journal of Computer Vision

PlasticGAN: Holistic generative adversarial network on face plastic and aesthetic surgery

Dual-reference Age Synthesis


Dialogue model that produces empathetic responses when trained on the EmpatheticDialogues dataset.

Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset

Conversational Agents: Goals, Technologies, Vision and Challenges

Is ChatGPT Equipped with Emotional Dialogue Capabilities?

Conditional Text Generation for Harmonious Human-Machine Interaction

Exemplars-Guided Empathetic Response Generation Controlled by the Elements of Human Communication

Using Knowledge-Embedded Attention to Augment Pre-trained Language Models for Fine-Grained Emotion Recognition

A Multi-Turn Emotionally Engaging Dialog Model

Exploring ChatGPT's Empathic Abilities

Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation

CheerBots: Chatbots toward Empathy and Emotionusing Reinforcement Learning


A model predictive controller for quadruped robots based on the single rigid body model and written in python. Gradient-based (acados) or Sampling-based (jax).

Model Predictive Optimized Path Integral Strategies

On the Benefits of GPU Sample-Based Stochastic Predictive Controllers
  for Legged Locomotion

PACC: A Passive-Arm Approach for High-Payload Collaborative Carrying
  with Quadruped Robots Using Model Predictive Control


PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Semi-Supervised Learning with Generative Adversarial Networks

Domain Transformer: Predicting Samples of Unseen, Future Domains


The information sieve for discrete variables.

Discovering Structure in High-Dimensional Data Through Correlation Explanation

Maximally Informative Hierarchical Representations of High-Dimensional Data

The Information Sieve


M3D-RPN: Monocular 3D Region Proposal Network for Object Detection

MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer

Geometry-based Distance Decomposition for Monocular 3D Object Detection

MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation

Boosting Monocular 3D Object Detection With Object-Centric Auxiliary Depth Supervision


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

The Kinetics Human Action Video Dataset

Local-Global Video-Text Interactions for Temporal Grounding

Audio-Visual Scene-Aware Dialog

Video-based surgical skill assessment using 3D convolutional neural networks

International journal of computer assisted radiology and surgery

VideoMix: Rethinking Data Augmentation for Video Classification

Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation

Spatio-temporal Features for Generalized Detection of Deepfake Videos

TTPP: Temporal Transformer with Progressive Prediction for Efficient Action Anticipation

Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective


Measuring the Intrinsic Dimension of Objective Landscapes

DRIVE: One-bit Distributed Mean Estimation

Communication-Efficient Federated Learning via Robust Distributed Mean Estimation


Known and Novel IsoForm Explorer. Statistically based splicing detection for circular and linear isoforms

Present Scenario of Circular RNAs (circRNAs) in Plants

Circular RNAs: Methodological challenges and perspectives in cardiovascular diseases

Journal of cellular and molecular medicine

Circ-camk4 involved in cerebral ischemia/reperfusion induced neuronal injury

Circular RNAs in the cardiovascular system

Advances in circular RNAs and their role in glioma (Review)

Disease-Associated Circular RNAs: From Biology to Computational Identification

Computational approaches for circRNAs prediction and in silico characterization

Novel Identified Circular Transcript of RCAN2, circ-RCAN2, Shows Deviated Expression Pattern in Pig Reperfused Infarcted Myocardium and Hypoxic Porcine Cardiac Progenitor Cells In Vitro

International journal of molecular sciences


[CVPR 2023] Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners

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

Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis

SYNC-CLIP: Synthetic Data Make CLIP Generalize Better in Data-Limited Scenarios


Sparse4D v1 & v2

Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion

Sparse4D v2: Recurrent Temporal Fusion with Sparse Model

Sparse4D v3: Advancing End-to-End 3D Detection and Tracking

RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions

SparseDrive: End-to-End Autonomous Driving via Sparse Scene
  Representation


Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

Graph Transformer Networks

DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks

Multiplex Heterogeneous Graph Convolutional Network

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

Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs


DeLighT: Very Deep and Light-Weight Transformers

DeLighT: Deep and Light-weight Transformer

DeFINE: DEep Factorized INput Token Embeddings for Neural Sequence Modeling

ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation

ODE Transformer: An Ordinary Differential Equation-Inspired Model for Neural Machine Translation

EIT: Enhanced Interactive Transformer


Maximum a Posteriori Policy Optimisation

Critic Regularized Regression

Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes


code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"

Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm

Large-Scale Wasserstein Gradient Flows

Particle-based energetic variational inference


Sux4J is an effort to bring succinct data structures to Java.

RecSplit: Minimal Perfect Hashing via Recursive Splitting

PTHash: Revisiting FCH Minimal Perfect Hashing

c-trie++: A Dynamic Trie Tailored for Fast Prefix Searches

Parallel and External-Memory Construction of Minimal Perfect Hash Functions With PTHash

Constructing Minimal Perfect Hash Functions Using SAT Technology


A PyTorch implementation of the paper "All are Worth Words: A ViT Backbone for Diffusion Models".

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels

Training Data Protection with Compositional Diffusion Models

Are Image Distributions Indistinguishable to Humans Indistinguishable to Classifiers?


A module for normalising text.

Semi-Supervised Spoken Language Understanding via Self-Supervised Speech and Language Model Pretraining

A Text Normalisation System for Non-Standard English Words

Empirical Methods in Natural Language Processing

Towards Semi-Supervised Semantics Understanding from Speech


Functions for calculating mutual information and other information theoretic quantities using a parametric Gaussian copula.

A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula

Simple Acoustic Features Can Explain Phoneme-Based Predictions of Cortical Responses to Speech

Representational interactions during audiovisual speech entrainment: Redundancy in left posterior superior temporal gyrus and synergy in left motor cortex

Hemodynamic and metabolic correspondence of resting-state voxel-based physiological metrics in healthy adults

Fractal and Multifractal Properties of Electrographic Recordings of Human Brain Activity: Toward Its Use as a Signal Feature for Machine Learning in Clinical Applications

Disambiguating the role of blood flow and global signal with Partial Information Decomposition

Comparison of undirected frequency-domain connectivity measures for cerebro-peripheral analysis

WHOCARES: WHOle-brain CArdiac signal REgression from highly accelerated simultaneous multi-Slice fMRI acquisitions


High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks

SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One Spike per Neuron

Continuous learning of spiking networks trained with local rules


Code for "NeRS: Neural Reflectance Surfaces for Sparse-View 3D Reconstruction in the Wild," in NeurIPS 2021

NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild

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

Reconstructing Objects in-the-wild for Realistic Sensor Simulation

Sparse 3D Reconstruction via Object-Centric Ray Sampling


State-of-the-art LLM-based translation models.

SimPO: Simple Preference Optimization with a Reference-Free Reward

Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models

Authorship Style Transfer with Policy Optimization


Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program

Functional equivalence of genome sequencing analysis pipelines enables harmonized variant calling across human genetics projects

Asthma and its relationship to mitochondrial copy number: Results from the Asthma Translational Genomics Collaborative (ATGC) of the Trans-Omics for Precision Medicine (TOPMed) program

Dissecting the multifaceted contribution of the mitochondrial genome to autism spectrum disorder

Contribution of CACNA1H Variants in Autism Spectrum Disorder Susceptibility


An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.

Beyond Dents and Scratches: Logical Constraints in Unsupervised Anomaly Detection and Localization

Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection

Re Learning Memory Guided Normality for Anomaly Detection

Crowd-level Abnormal Behavior Detection via Multi-scale Motion Consistency Learning


[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer

Evaluating transformer-based semantic segmentation networks for pathological image segmentation

When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation

Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation

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

UCM-Net: A Lightweight and Efficient Solution for Skin Lesion Segmentation using MLP and CNN


Graph-based Attention Model

Neural Machine Translation by Jointly Learning to Align and Translate

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

GRAM: Graph-based Attention Model for Healthcare Representation Learning

Supervised multi-specialist topic model with applications on large-scale electronic health record data


A Span-Extraction Dataset for Chinese Machine Reading Comprehension  (CMRC 2018)

Cross-Lingual Machine Reading Comprehension

BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels

Symmetric Regularization based BERT for Pair-wise Semantic Reasoning

Developing a How-to Tip Machine Comprehension Dataset and its Evaluation in Machine Comprehension by BERT

Proceedings of the Third Workshop on Fact Extraction and VERification (FEVER)


Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"

Task-adaptive Neural Process for User Cold-Start Recommendation

A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps

ColdNAS: Search to Modulate for User Cold-Start Recommendation

Contributions to Representation Learning with Graph Autoencoders and Applications to Music Recommendation