Data manipulation and transformation for audio signal processing, powered by PyTorch

SpeechBrain: A General-Purpose Speech Toolkit

fairseq S2T: Fast Speech-to-Text Modeling with fairseq

Asteroid: the PyTorch-based audio source separation toolkit for researchers

TorchAudio: Building Blocks for Audio and Speech Processing

CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus

Kapre: On-GPU Audio Preprocessing Layers for a Quick Implementation of Deep Neural Network Models with Keras

Reducing Barriers to Self-Supervised Learning: HuBERT Pre-training with Academic Compute

B2T Connection: Serving Stability and Performance in Deep Transformers

TorchAudio 2.1: Advancing Speech Recognition, Self-Supervised Learning, and Audio Processing Components for Pytorch

Exploring novel algorithms for atrial fibrillation detection by driving graduate level education in medical machine learning


A Variational Perspective on Solving Inverse Problems with Diffusion Models

DifFace: Blind Face Restoration with Diffused Error Contraction

DEFT: Efficient Finetuning of Conditional Diffusion Models by Learning
  the Generalised h-transform

Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching


A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design

State of the Art and Potentialities of Graph-level Learning


Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)

Unsupervised Learning of Debiased Representations with Pseudo-Attributes

Discover and Mitigate Unknown Biases with Debiasing Alternate Networks

Learning Debiased Classifier with Biased Committee

Mitigating Dataset Bias by Using Per-sample Gradient

Learning Debiased Models with Dynamic Gradient Alignment and Bias-conflicting Sample Mining

Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels

Language-guided Detection and Mitigation of Unknown Dataset Bias

Delving into Identify-Emphasize Paradigm for Combating Unknown Bias


3D super-resolution using Generative Adversarial Networks

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

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

Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize

Brain MRI super-resolution using 3D generative adversarial networks


Gene length corrected trimmed mean of M-values (GeTMM) processing of RNA-seq data performs similarly in intersample analyses while improving intrasample comparisons

Immunological differences between colorectal cancer and normal mucosa uncover a prognostically relevant immune cell profile

Fibroblast activation protein identifies Consensus Molecular Subtype 4 in colorectal cancer and allows its detection by 68Ga-FAPI-PET imaging

Integrated multi-omics approach to distinct molecular characterization and classification of early-onset colorectal cancer

Gene expression profiles in genome instability-based classes of colorectal cancer

Prognosis and Sensitivity of Adjuvant Chemotherapy in Mucinous Colorectal Adenocarcinoma without Distant Metastasis

Integrated multi-omics analysis reveals miR-20a as a regulator for metabolic colorectal cancer

Detection of Experimental Colorectal Peritoneal Metastases by a Novel PDGFRβ-Targeting Nanobody

Circular RNA in Chemonaive Lymph Node Negative Colon Cancer Patients

Primary Colorectal Tumor Displays Differential Genomic Expression Profiles Associated with Hepatic and Peritoneal Metastases


This is the code for ACL paper "Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network"

SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs

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

Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned

A Self-supervised Method for Entity Alignment

A Critical Assessment of State-of-the-Art in Entity Alignment


[IJCAI 2023] Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment

Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations

Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning

DiffusionRet: Generative Text-Video Retrieval with Diffusion Model


AutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos. ECCV'18.

Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization

UntrimmedNets for Weakly Supervised Action Recognition and Detection

Temporal Localization of Fine-Grained Actions in Videos by Domain Transfer from Web Images

MM'15: PROCEEDINGS OF THE 2015 ACM MULTIMEDIA CONFERENCE


Analysis pipeline for HST/WFC3 spectroscopic observations of exoplanet transits and eclipses

A population study of hot Jupiter atmospheres

Water vapour in the atmosphere of the habitable-zone eight-Earth-mass planet K2-18 b

DETECTION OF AN ATMOSPHERE AROUND THE SUPER-EARTH 55 CANCRI E

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

A NEW APPROACH TO ANALYZING HST SPATIAL SCANS: THE TRANSMISSION SPECTRUM OF HD 209458 b

ARES I: WASP-76 b, A Tale of Two HST Spectra

ARES. II. Characterizing the Hot Jupiters WASP-127 b, WASP-79 b, and WASP-62b with the Hubble Space Telescope

Hubble WFC3 Spectroscopy of the Habitable-zone Super-Earth LHS 1140 b

Five Key Exoplanet Questions Answered via the Analysis of 25 Hot-Jupiter Atmospheres in Eclipse

The Astrophysical Journal Supplement Series

On the Compatibility of Ground-based and Space-based Data: WASP-96 b, an Example*


A comprehensive overview of graph neural network-based approaches to clustering for spatial transcriptomics

Computational and structural biotechnology journal

Revealing Tissue Heterogeneity and Spatial Dark Genes from Spatially Resolved Transcriptomics by Multiview Graph Networks


power systems tools made beautiful


Data labels and scripts for fastMRI.org

fastMRI+, Clinical pathology annotations for knee and brain fully sampled magnetic resonance imaging data

fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data

Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers

Deciphering knee osteoarthritis diagnostic features with explainable artificial intelligence: A systematic review

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


Improved Training of Wasserstein GANs

Transferring GANs: generating images from limited data

Memory Replay GANs: learning to generate images from new categories without forgetting

Memory Replay GANs: Learning to Generate New Categories without Forgetting

FoCL: Feature-Oriented Continual Learning for Generative Models

Match What Matters: Generative Implicit Feature Replay for Continual Learning.


PyTorch implementation of 'B-spline Parameterized Joint Optimization of Reconstruction and K-space Trajectories (BJORK) for Accelerated 2D MRI''

MoDL: Model-Based Deep Learning Architecture for Inverse Problems

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

Efficient Approximation of Jacobian Matrices Involving a Non-Uniform Fast Fourier Transform (NUFFT)

Stochastic Optimization of 3D Non-Cartesian Sampling Trajectory (SNOPY)


Pairwise Hierarchical Model

Cells of the human intestinal tract mapped across space and time

High-resolution genetic mapping of putative causal interactions between regions of open chromatin

A spatially resolved atlas of the human lung characterizes a gland-associated immune niche

Gene expression QTL mapping in stimulated iPSC-derived macrophages provides insights into common complex diseases


Chinese medical dialogue data 中文医疗对话数据集

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

Datasets for Large Language Models: A Comprehensive Survey

Distinct but correct: generating diversified and entity-revised medical response

CUDRT: Benchmarking the Detection of Human vs. Large Language Models Generated Texts

Aqulia-Med LLM: Pioneering Full-Process Open-Source Medical Language Models


Pariwise analysis of GWAS

Expanding the genetic architecture of nicotine dependence and its shared genetics with multiple traits

Genetic analyses identify pleiotropy and causality for blood proteins and highlight Wnt/β-catenin signalling in migraine

Shared genetic architecture between periodontal disease and type 2 diabetes: a large scale genome-wide cross-trait analysis

Genetic Architecture of Abdominal Fat Deposition Revealed by a Genome-Wide Association Study in the Laying Chicken


EMIFF: Enhanced Multi-scale Image Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection

FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection

FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection

Exploring Data Augmentation for Multi-Modality 3D Object Detection

VIMI: Vehicle-Infrastructure Multi-view Intermediate Fusion for Camera-based 3D Object Detection


[ACM TOMM 2023] - Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based Features

Effective conditioned and composed image retrieval combining CLIP-based features

Conditioned and composed image retrieval combining and partially fine-tuning CLIP-based features

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

Bi-directional Training for Composed Image Retrieval via Text Prompt Learning


A new open source and web tool to estimate actual ET based on SEBAL model.

Assessment of the MODIS global evapotranspiration algorithm using eddy covariance measurements and hydrological modelling in the Rio Grande basin

A MODIS-Based Energy Balance to Estimate Evapotranspiration for Clear-Sky Days in Brazilian Tropical Savannas

Long-term monitoring of evapotranspiration using the SEBAL algorithm and Google Earth Engine cloud computing

Isprs Journal of Photogrammetry and Remote Sensing

Assessment of an Automated Calibration of the SEBAL Algorithm to Estimate Dry-Season Surface-Energy Partitioning in a Forest-Savanna Transition in Brazil


Framework for evaluating Graph Neural Network models on semi-supervised node classification task

Deep Learning on Graphs: A Survey

Pitfalls of Graph Neural Network Evaluation

Graph Contrastive Learning with Adaptive Augmentation

Graph Random Neural Networks for Semi-Supervised Learning on Graphs

Large-Scale Representation Learning on Graphs via Bootstrapping

GraphMix: Improved Training of GNNs for Semi-Supervised Learning

GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning

Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study

Graph Communal Contrastive Learning

Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective

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


Official Pytorch Implementation of SegViT: Semantic Segmentation with Plain Vision Transformers

SegViTv2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision Transformers


DeepDTA: deep drug–target binding affinity prediction

WideDTA: prediction of drug-target binding affinity

MGraphDTA: deep multiscale graph neural network for explainable drug–target binding affinity prediction

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction

ATOM3D: Tasks On Molecules in Three Dimensions

Intelligent Health Care: Applications of Deep Learning in Computational Medicine

A brief review of protein–ligand interaction prediction

Compression strategies and space-conscious representations for deep neural networks

Applications of Deep Learning and Machine Learning in Computational Medicine

Compact representations of convolutional neural networks via weight pruning and quantization


A Fast Parallel Algorithm for HDBSCAN* Clustering

Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection

ACM Transactions on Knowledge Discovery from Data

Fast Parallel Algorithms for Euclidean Minimum Spanning Tree and Hierarchical Spatial Clustering

A single-tree algorithm to compute the Euclidean minimum spanning tree on GPUs


SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.

ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation

MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation

IDRNet: Intervention-Driven Relation Network for Semantic Segmentation

SSSegmenation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch


Multilingual G2P in 100 languages

Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

ByT5 model for massively multilingual grapheme-to-phoneme conversion

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

Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme (G2P) Transduction


A Survey on Text Classification: From Shallow to Deep Learning

Tensor Graph Convolutional Networks for Text Classification

Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification


MT Evaluation in Many Languages via Zero-Shot Paraphrasing

Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing

In-context Examples Selection for Machine Translation

Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic Diversity

Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand

DEMETR: Diagnosing Evaluation Metrics for Translation

Language-agnostic Representation from Multilingual Sentence Encoders for Cross-lingual Similarity Estimation

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

Dialect-robust Evaluation of Generated Text

Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References

NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures

OpinSummEval: Revisiting Automated Evaluation for Opinion Summarization


Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning

Continuous control with deep reinforcement learning

Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement Learning

Deep Reinforcement Learning Based Joint Downlink Beamforming and RIS Configuration in RIS-aided MU-MISO Systems Under Hardware Impairments and Imperfect CSI


Graph CNNs for population graphs

Deep Learning on Graphs: A Survey

Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease

Spectral Graph Convolutions for Population-based Disease Prediction

Bootstrapping Graph Convolutional Neural Networks for Autism Spectrum Disorder Classification

Multi-Modal Graph Learning for Disease Prediction

An overview of deep learning in medical imaging

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


An R package for creating mirrored Manhattan plots

Investigation of Autosomal Genetic Sex Differences in Parkinson's Disease

A unified framework identifies new links between plasma lipids and diseases from electronic medical records across large-scale cohorts

GALC variants affect galactosylceramidase enzymatic activity and risk of Parkinson’s disease

Tissue specificity-aware TWAS (TSA-TWAS) framework identifies novel associations with metabolic, immunologic, and virologic traits in HIV-positive adults

Medical data and machine learning improve power of stroke genome-wide association studies

Genetic association and transferability for urinary albumin-creatinine ratio as a marker of kidney disease in four Sub-Saharan African populations and non-continental individuals of African ancestry

medRxiv : the preprint server for health sciences


[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

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

A Survey on Session-based Recommender Systems

Global Context Enhanced Graph Neural Networks for Session-based Recommendation

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

Graph Learning based Recommender Systems: A Review

NISER: Normalized Item and Session Representations with Graph Neural Networks

Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network

Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation

Proceedings of the 31st ACM International Conference on Information & Knowledge Management

Session-aware Linear Item-Item Models for Session-based Recommendation

S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks

Exploring Global Information for Session-based Recommendation


Accurate estimation and robust modelling of translation dynamics at codon resolution

LncRNA-Encoded Peptide: Functions and Predicting Methods

Scikit-ribo Enables Accurate Estimation and Robust Modeling of Translation Dynamics at Codon Resolution

Scikit-ribo: Accurate estimation and robust modeling of translation dynamics at codon resolution


RNA-Seq normalization and quantification pipeline

The Nephila clavipes genome highlights the diversity of spider silk genes and their complex expression

Loss of Nuclear TDP-43 Is Associated with Decondensation of LINE Retrotransposons

Circadian control of lung inflammation in influenza infection

Neuropilin-1 is a T cell memory checkpoint limiting long-term antitumor immunity

G1/S cell cycle regulators mediate effects of circadian dysregulation on tumor growth and provide targets for timed anticancer treatment

Nr4a1 suppresses cocaine-induced behavior via epigenetic regulation of homeostatic target genes

Autoreactive CD8+ T cells are restrained by an exhaustion-like program that is maintained by LAG3

Investigation of the functional role of human Interleukin-8 gene haplotypes by CRISPR/Cas9 mediated genome editing

Spliceosome factors target timeless (tim) mRNA to control clock protein accumulation and circadian behavior in Drosophila

Age attenuates the transcriptional changes that occur with sleep in the medial prefrontal cortex


SAITS: Self-Attention-based Imputation for Time Series

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


This is the repository containing the source code for my Master's thesis research, about predicting drug-target interaction using deep learning.

MGraphDTA: deep multiscale graph neural network for explainable drug–target binding affinity prediction

PADME: A Deep Learning-based Framework for Drug-Target Interaction Prediction

A deep learning method for drug-target affinity prediction based on sequence interaction information mining


FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.

Federated Optimization in Heterogeneous Networks

Agnostic Federated Learning

Adaptive Personalized Federated Learning

Federated Learning with Compression: Unified Analysis and Sharp Guarantees

Distributionally Robust Federated Averaging


Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022

DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion

S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning

A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials

MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning


ARC Question Solvers

Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

ActKnow: Active External Knowledge Infusion Learning for Question Answering in Low Data Regime


Multi-task deep learning framework for multi-omics data analysis

OmiEmbed: A Unified Multi-Task Deep Learning Framework for Multi-Omics Data

SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification

OmiTrans: Generative Adversarial Networks Based Omics-to-omics Translation Framework

A Fair Experimental Comparison of Neural Network Architectures for Latent Representations of Multi-Omics for Drug Response Prediction


CO2SYS software for MATLAB (or octave) to compute variables of ocean CO2 system

Routine uncertainty propagation for the marine carbon dioxide system

Comparison of ten packages that compute ocean carbonate chemistry

Estimating the Absolute Salinity of Chinese offshore waters using nutrients and inorganic carbon data


Encodes a PowerShell script in the pixels of a PNG file and generates a oneliner to execute

IMShell-Dec: Pay More Attention to External Links in PowerShell

SUDS: Sanitizing Universal and Dependent Steganography

Monsters in the Dark: Sanitizing Hidden Threats with Diffusion Models


Code for "Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach" (ACL  2018)

Mask and Infill: Applying Masked Language Model for Sentiment Transfer

International Joint Conference on Artificial Intelligence

"Mask and Infill" : Applying Masked Language Model to Sentiment Transfer


Mirror of oflops (cbench) from git://gitosis.stanford.edu/oflops.git

DeepIDS: Deep Learning Approach for Intrusion Detection in Software Defined Networking

Controller selection in software defined networks using best-worst multi-criteria decision-making

Bulletin of Electrical Engineering and Informatics

Convolutional Neural Network Based Algorithm for Early Warning Proactive System Security in Software Defined Networks

Machine learning based malicious payload identification in software-defined networking

Experimental Security Analysis of Controller Software in SDNs: A Review


Fast in-silico normalization algorithm for NGS data

A simple guide to de novo transcriptome assembly and annotation

In-silico read normalization using set multi-cover optimization

Improving in-silico normalization using read weights


Guaranteeing Safety for Neural Network-Based Aircraft Collision Avoidance Systems

Symposium on Dependable Autonomic and Secure Computing

Neural Network Repair with Reachability Analysis

Verifying Low-dimensional Input Neural Networks via Input Quantization


SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

INSIDE: LLMs' Internal States Retain the Power of Hallucination
  Detection

MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization

Unsupervised Real-Time Hallucination Detection based on the Internal
  States of Large Language Models

PoLLMgraph: Unraveling Hallucinations in Large Language Models via State
  Transition Dynamics

HaloScope: Harnessing Unlabeled LLM Generations for Hallucination
  Detection


Independent JPEG Group's JPEG software

A Classification Engine for Image Ballistics of Social Data

Optimizing JPEG Quantization for Classification Networks

Adjusted JPEG Quantization Tables in Support of GPS Maps

Estimating Previous Quantization Factors on Multiple JPEG Compressed Images

In-Depth DCT Coefficient Distribution Analysis for First Quantization Estimation


A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)

Deep Residual Learning for Image Recognition

Deep Networks with Stochastic Depth

Residual Networks Behave Like Ensembles of Relatively Shallow Networks

OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning

SWNet: Small-World Neural Networks and Rapid Convergence

Dropout is a special case of the stochastic delta rule: faster and more accurate deep learning

Confidence Calibration with Bounded Error Using Transformations

Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning


A gene-targeted assembler tool

Xander: employing a novel method for efficient gene-targeted metagenomic assembly

Aryl Hydrocarbon Receptor (AhR) Activation by 2,3,7,8-Tetrachlorodibenzo-p-Dioxin (TCDD) Dose-Dependently Shifts the Gut Microbiome Consistent with the Progression of Non-Alcoholic Fatty Liver Disease

International journal of molecular sciences

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


Early satellite cell communication creates a permissive environment for long-term muscle growth

Integrative Single-Cell RNA-Seq and ATAC-Seq Analysis of Peripheral Mononuclear Cells in Patients With Ankylosing Spondylitis

Human brain organoid model of maternal immune activation identifies radial glia cells as selectively vulnerable

Single-cell analysis of a high-grade serous ovarian cancer cell line reveals transcriptomic changes and cell subpopulations sensitive to epigenetic combination treatment

LSD1 promotes secretory cell specification to drive BRAF mutant colorectal cancer

Single-cell atlas of the small intestine throughout the human lifespan demonstrates unique features of fetal immune cells


Open-source stronger baseline for unsupervised or domain adaptive object re-ID.

Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking

Person Transfer GAN to Bridge Domain Gap for Person Re-Identification

Group-aware Label Transfer for Domain Adaptive Person Re-identification

Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification

Dynamic Gradient Reactivation for Backward Compatible Person Re-identification


General purpose Matlab toolbox

Interpolating the Directional Room Impulse Response for Dynamic Spatial Audio Reproduction

MYRiAD: A Multi-Array Room Acoustic Database

Cardiac forces regulate zebrafish heart valve delamination by modulating Nfat signaling

Phase resetting in human auditory cortex to visual speech

Birdsong fails to support object categorization in human infants

A method for realistic, conversational signal-to-noise ratio estimation

The Journal of the Acoustical Society of America

Pre-Stimulus Power but Not Phase Predicts Prefrontal Cortical Excitability in TMS-EEG

Oxytocin induces the formation of distinctive cortical representations and cognitions biased toward familiar mice

Similarity-based transfer learning of decision policies


The official implementation of the Interspeech 2021 paper WSRGlow: A Glow-based Waveform Generative Model for Audio Super-Resolution.

Neural Vocoder is All You Need for Speech Super-resolution

Nonparallel High-Quality Audio Super Resolution with Domain Adaptation and Resampling CycleGANs


Meteor Automatic Translation Evaluation System

Enhancing AMR-to-Text Generation with Dual Graph Representations

Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting

VALHALLA: Visual Hallucination for Machine Translation

Towards User-Driven Neural Machine Translation

Neural machine translation of literary texts from English to Slovene


PlantTribes is a collection of automated gene family analysis pipelines for comparative plant genomics

SHR4z, a novel decoy effector from the haustorium of the parasitic weed Striga gesnerioides, suppresses host plant immunity

Phylogenomic resolution of order- and family-level monocot relationships using 602 single-copy nuclear genes and 1375 BUSCO genes

A phased, chromosome-scale genome of ‘Honeycrisp’ apple (Malus domestica)

Phylotranscriptomic Analyses of Mycoheterotrophic Monocots Show a Continuum of Convergent Evolutionary Changes in Expressed Nuclear Genes From Three Independent Nonphotosynthetic Lineages

PlantTribes2: Tools for comparative gene family analysis in plant genomics


MaxMatch (M^2) Scorer - Evaluation program for grammatical error correction systems.

Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation

Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding

Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction

Tree-Transformer: A Transformer-Based Method for Correction of Tree-Structured Data

A Thorough Evaluation of Task-Specific Pretraining for Summarization

A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model

Improving Grammatical Error Correction Models with Purpose-Built Adversarial Examples

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

Lossless Acceleration for Seq2seq Generation with Aggressive Decoding

A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction

Chinese Grammatical Correction Using BERT-based Pre-trained Model


Workflow to download, process, and explore microbial RNA-seq data from NCBI SRA

Mining all publicly available expression data to compute dynamic microbial transcriptional regulatory networks

Machine learning from Pseudomonas aeruginosa transcriptomes identifies independently modulated sets of genes associated with known transcriptional regulators

Machine Learning Uncovers a Data-Driven Transcriptional Regulatory Network for the Crenarchaeal Thermoacidophile Sulfolobus acidocaldarius

Advanced transcriptomic analysis reveals the role of efflux pumps and media composition in antibiotic responses of Pseudomonas aeruginosa

Pan-Genome Analysis of Transcriptional Regulation in Six Salmonella enterica Serovar Typhimurium Strains Reveals Their Different Regulatory Structures

Elucidation of independently modulated genes in Streptococcus pyogenes reveals carbon sources that control its expression of hemolytic toxins

The hallmarks of a tradeoff in transcriptomes that balances stress and growth functions

Proteome allocation is linked to transcriptional regulation through a modularized transcriptome

bioRxiv : the preprint server for biology

Transcriptional biomarker discovery toward building a load stress reporting system for engineered Escherichia coli strains


ERRor ANnotation Toolkit: Automatically extract and classify grammatical errors in parallel original and corrected sentences.

Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 1

Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation

Grammatical Error Correction: A Survey of the State of the Art

Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction

Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses

Controllable data synthesis method for grammatical error correction

Heterogeneous Recycle Generation for Chinese Grammatical Error Correction

International Conference on Computational Linguistics

Cross-lingual Transfer Learning for Grammatical Error Correction

Mitigating Exposure Bias in Grammatical Error Correction with Data Augmentation and Reweighting

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics

Generating Inflectional Errors for Grammatical Error Correction in Hindi

International Joint Conference on Natural Language Processing


Library for translating between 200 languages. Built on  transformers.

No Language Left Behind: Scaling Human-Centered Machine Translation

Beyond English-Centric Multilingual Machine Translation

Multilingual Translation with Extensible Multilingual Pretraining and Finetuning

ANLP-RG at NADI 2023 shared task: Machine Translation of Arabic Dialects: A Comparative Study of Transformer Models


Java Geometry Expert

Four Geometry Problems to Introduce Automated Deduction in Secondary Schools

Towards a geometry deductive database prover

Annals of Mathematics and Artificial Intelligence

A Rule Based Theorem Prover: an Introduction to Proofs in Secondary Schools

Automated Discovery of Geometrical Theorems in GeoGebra

Open Geometry Prover Community Project

Open Source Prover in the Attic

Electronic Proceedings in Theoretical Computer Science


CvPytorch is an open source COMPUTER VISION toolbox based on PyTorch.

U-Net: Convolutional Networks for Biomedical Image Segmentation

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

MogaNet: Multi-order Gated Aggregation Network


USAD: UnSupervised Anomaly Detection on Multivariate Time Series

OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting

Generative Optimization Networks for Memory Efficient Data Generation

A Survey of Time Series Anomaly Detection Methods in the AIOps Domain

Time Series Anomaly Detection via Reinforcement Learning-Based Model Selection

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


A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

Attention Is All You Need

End-to-End Neural Transformer Based Spoken Language Understanding

Knowledge Distillation from BERT Transformer to Speech Transformer for Intent Classification


A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.

Training language models to follow instructions with human feedback

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback

Exploring the impact of low-rank adaptation on the performance, efficiency, and regularization of RLHF

Testing the Limits of Jailbreaking Defenses with the Purple Problem

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


Simple scripts to benchmark kubernetes cluster features

An Open-Source Experimentation Framework for the Edge Cloud Continuum

A Pragmatical Approach to Anomaly Detection Evaluation in Edge Cloud Systems

Extending Kubernetes Networking to make use of Segment Routing over IPv6 (SRv6)

Performance Evaluation of Kubernetes Networking Approaches across Constraint Edge Environments


Image feature extraction in Python

Image analysis for taxonomic identification of Javanese butterflies


Prepare Sailfish and Salmon output for downstream analysis

Genome-wide CRISPR Screens in T Helper Cells Reveal Pervasive Crosstalk between Activation and Differentiation

Empirical assessment of analysis workflows for differential expression analysis of human samples using RNA-Seq

TET2 as a tumor suppressor and therapeutic target in T-cell acute lymphoblastic leukemia

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

Dividing out quantification uncertainty allows efficient assessment of differential transcript expression with edgeR

Differential regulation of cranial and cardiac neural crest by serum response factor and its cofactors


MolRep: A Deep Representation Learning Library for Molecular Property Prediction

Quantitative evaluation of explainable graph neural networks for molecular property prediction

Revolutionizing GPCR–ligand predictions: DeepGPCR with experimental validation for high-precision drug discovery


A unified tokenization tool for Images, Chinese and English.

CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers

FlashVideo: A Framework for Swift Inference in Text-to-Video Generation


Everything you need to create an LLM Agent—tools, prompts, frameworks, and models—all in one place.

A Survey on Large Language Model based Autonomous Agents

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

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

Empowering Agile-Based Generative Software Development through Human-AI
  Teamwork


A fastai/PyTorch package for unpaired image-to-image translation.

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

DualGAN: Unsupervised Dual Learning for Image-to-Image Translation

GANILLA: Generative Adversarial Networks for Image to Illustration Translation

Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning


ANYstructure is the ultimate steel structure design tool for plate fields and cylinders. Weight optimization for all structures with machine learning capabilities. Calculations are based on DNV standards and rules.


5,400,000+ Unsplash images made available for research and machine learning

Generative Multimodal Models are In-Context Learners

Making LLaMA SEE and Draw with SEED Tokenizer

Planting a SEED of Vision in Large Language Model

SEED-X: Multimodal Models with Unified Multi-granularity Comprehension
  and Generation

Contrastive Language-Image Pre-training for the Italian Language

FairyTailor: A Multimodal Generative Framework for Storytelling

SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional
  Image Editing

Strategic Behavior and AI Training Data

CV-VAE: A Compatible Video VAE for Latent Generative Video Models


Text tokenization and sentence segmentation (segtok v2)

PySBD: Pragmatic Sentence Boundary Disambiguation

Findings of the WMT 2019 Biomedical Translation Shared Task: Evaluation for MEDLINE Abstracts and Biomedical Terminologies

Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)

Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings

Evaluation of Scientific Elements for Text Similarity in Biomedical Publications

Meeting of the Association for Computational Linguistics

CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes

Findings of the WMT 2021 Biomedical Translation Shared Task: Summaries of Animal Experiments as New Test Set

HAL (Le Centre pour la Communication Scientifique Directe)

Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning

From Dataset Recycling to Multi-Property Extraction and Beyond

Identifying Corporate Credit Risk Sentiments from Financial News

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

Psycholinguistic dataset on language use in 1145 novels published in English and Dutch


suite to deal with passband photometry

Gaia Data Release 3: Apsis II -- Stellar Parameters

The Gaia DR2 parallax zero-point: hierarchical modelling of red clump stars

Monthly notices of the Royal Astronomical Society

The GALAH survey: multiple stars and our Galaxy

The Tidal Disruption Event AT 2018hyz II:Light-curve modelling of a partially disrupted star

Monthly Notices of the Royal Astronomical Society

SN 2016iet: The Pulsational or Pair Instability Explosion of a Low-metallicity Massive CO Core Embedded in a Dense Hydrogen-poor Circumstellar Medium

Luminous Supernovae: Unveiling a Population between Superluminous and Normal Core-collapse Supernovae

A catalogue of cataclysmic variables from 20 yr of the Sloan Digital Sky Survey with new classifications, periods, trends, and oddities

OH Megamasers in H i Surveys: Forecasts and a Machine-learning Approach to Separating Disks from Mergers

SQuIGGL⃗E Survey: Massive z∼0.6 Post-Starburst Galaxies
  Exhibit Flat Age Gradients

First Observations of the Brown Dwarf HD 19467 B with JWST


Calculating ROUGE score between two files (line-by-line)

Lite Transformer with Long-Short Range Attention

100,000 Podcasts: A Spoken English Document Corpus

Hooks in the Headline: Learning to Generate Headlines with Controlled Styles

Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization

Mask Attention Networks: Rethinking and Strengthen Transformer

Attend, Translate and Summarize: An Efficient Method for Neural Cross-Lingual Summarization

Length-controllable Abstractive Summarization by Guiding with Summary Prototype

CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization

Abstractive Summarization with Combination of Pre-trained Sequence-to-Sequence and Saliency Models

Frustratingly Easy Model Ensemble for Abstractive Summarization

Empirical Methods in Natural Language Processing


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


PlasmidID is a mapping-based, assembly-assisted plasmid identification tool that analyzes and gives graphic solution for plasmid identification.

CARB-ES-19 Multicenter Study of Carbapenemase-Producing Klebsiella pneumoniae and Escherichia coli From All Spanish Provinces Reveals Interregional Spread of High-Risk Clones Such as ST307/OXA-48 and ST512/KPC-3

Carbapenemase-Producing Klebsiella pneumoniae From Transplanted Patients in Brazil: Phylogeny, Resistome, Virulome and Mobile Genetic Elements Harboring blaKPC–2 or blaNDM–1

Characterization of E. coli Isolates Producing Extended Spectrum Beta-Lactamase SHV-Variants from the Food Chain in Germany

Dissection of Highly Prevalent qnrS1-Carrying IncX Plasmid Types in Commensal Escherichia coli from German Food and Livestock

Carbapenemase-Producing Klebsiella pneumoniae in COVID-19 Intensive Care Patients: Identification of IncL-VIM-1 Plasmid in Previously Non-Predominant Sequence Types

Retrospective surveillance of viable Bacillus cereus group contaminations in commercial food and feed vitamin B2 products sold on the Belgian market using whole-genome sequencing

Characterizing carbapenemase-producing Escherichia coli isolates from Spain: high genetic heterogeneity and wide geographical spread

Frontiers in Cellular and Infection Microbiology


A toolkit for Spoken Language Understanding Evaluation (SLUE) benchmark. Refer paper https://arxiv.org/abs/2111.10367 for more details. Official website: https://asappresearch.github.io/slue-toolkit/

SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech

Integrating Self-supervised Speech Model with Pseudo Word-level Targets
  from Visually-grounded Speech Model


Multiple-target linear models - CPU/GPU

Evidence of a predictive coding hierarchy in the human brain listening to speech

Semantic Representations during Language Comprehension Are Affected by Context

Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey)

Voxelwise encoding models of body stimuli reveal a representational gradient from low-level visual features to postural features in occipitotemporal cortex


SPM tools to get the best of mass univariate analyses

Simultaneous EEG-fMRI during a neurofeedback task, a brain imaging dataset for multimodal data integration

Pros and Cons of Using the Informed Basis Set to Account for Hemodynamic Response Variability with Developmental Data

Recommendations of Choice of Head Coil and Prescan Normalize Filter Depend on Region of Interest and Task

Validation of a New Coil Array Tailored for Dog Functional Magnetic Resonance Imaging Studies

Sailing in rough waters: Examining volatility of fMRI noise

Brain network changes and cognitive function after cardiac arrest

Weakened effective connectivity between salience network and default mode network during resting state in adolescent depression


This Is the Moment for Probabilistic Loops

Solving Invariant Generation for Unsolvable Loops

Strong Invariants Are Hard: On the Hardness of Strongest Polynomial Invariants for (Probabilistic) Programs

Proceedings of the ACM on programming languages

(Un)Solvable Loop Analysis

Automated Sensitivity Analysis for Probabilistic Loops


This is CASA eMERLIN pipeline to calibrate data from the e-MERLIN array. Please fork the repository before making any changes and read the Coding Practices page in the wiki. Please add issues with the pipeline in the issues tab.

Investigating the spectral age problem with powerful radio galaxies

WISDOM project - VIII. Multiscale feedback cycles in the brightest cluster galaxy NGC 0708

Software and Techniques for VLBI Data Processing and Analysis

A MeerKAT, e-MERLIN, H.E.S.S., and Swift search for persistent and transient emission associated with three localized FRBs

An early peak in the radio light curve of short-duration gamma-ray burst 200826A

VLBI observations of GRB 201015A, a relatively faint GRB with a hint of very high-energy gamma-ray emission

Radio jets in NGC 1068 with e-MERLIN and VLA: structure and morphology

Sub-kpc radio jets in the brightest central galaxy of the cool-core galaxy cluster RXJ1720.1+2638


Capacity Expansion Problem Formulation for Julia

On representation of temporal variability in electricity capacity planning models

CapacityExpansion: A capacity expansion modeling framework in Julia


Set of tools to assess and improve LLM security.

The Llama 3 Herd of Models

Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large
  Language Models

Purple Llama CyberSecEval: A Secure Coding Benchmark for Language Models

Refusal in Language Models Is Mediated by a Single Direction

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

CyberSecEval 2: A Wide-Ranging Cybersecurity Evaluation Suite for Large
  Language Models

SORRY-Bench: Systematically Evaluating Large Language Model Safety
  Refusal Behaviors

PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference

Jailbreak Attacks and Defenses Against Large Language Models: A Survey


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

Continuous speech separation: dataset and analysis

AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario

KsponSpeech: Korean Spontaneous Speech Corpus for Automatic Speech Recognition

FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition

HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models

End-to-End Speech Recognition and Disfluency Removal

Continuous Speech Separation with Ad Hoc Microphone Arrays

The EMPATHIC Project: Mid-term Achievements

PriMock57: A Dataset Of Primary Care Mock Consultations


pymgrid is a python library to generate and simulate a large number of microgrids.

pymgrid: An Open-Source Python Microgrid Simulator for Applied Artificial Intelligence Research


LOWTRAN atmospheric absorption extinction, scatter and irradiance model--in Python and Matlab


The most accurate natural language detection library for Java and the JVM, suitable for long and short text alike

ActiveAnno: General-Purpose Document-Level Annotation Tool with Active Learning Integration

North American Chapter of the Association for Computational Linguistics

Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages

Cross-lingual citations in English papers: a large-scale analysis of prevalence, usage, and impact

DetectiveRedasers at ArAIEval Shared Task: Leveraging Transformer Ensembles for Arabic Deception Detection

QCRI's COVID-19 Disinformation Detector: A System to Fight the COVID-19 Infodemic in Social Media

ReDASPersuasion at ArAIEval Shared Task: Multilingual and Monolingual Models For Arabic Persuasion Detection

You were saying? -- Spoken Language in the V3C Dataset


A lightweight, scalable, and general framework for visual question answering research

VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering

Accuracy vs. Complexity: A Trade-off in Visual Question Answering Models

Multimodal Integration of Human-Like Attention in Visual Question Answering

What's Different between Visual Question Answering for Machine "Understanding" Versus for Accessibility?

Estimating semantic structure for the VQA answer space

BadCM: Invisible Backdoor Attack Against Cross-Modal Learning

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

Attention Guided Semantic Relationship Parsing for Visual Question Answering

An experimental study of the vision-bottleneck in VQA

Surgical-VQLA++: Adversarial contrastive learning for calibrated robust visual question-localized answering in robotic surgery


PyTorch implementation of normalizing flow models

NICE: Non-linear Independent Components Estimation

Flow Annealed Importance Sampling Bootstrap

normflows: A PyTorch Package for Normalizing Flows

CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery

Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation


A Python library for Secure and Explainable Machine Learning

Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

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

secml: Secure and explainable machine learning in Python

Combining Generators of Adversarial Malware Examples to Increase Evasion Rate

The Power of MEME: Adversarial Malware Creation with Model-Based Reinforcement Learning


A toolset for profiling alternative splicing events in RNA-Seq data.

A Highly Conserved Program of Neuronal Microexons Is Misregulated in Autistic Brains

An atlas of alternative splicing profiles and functional associations reveals new regulatory programs and genes that simultaneously express multiple major isoforms

A Comparative Transcriptomic Analysis Reveals Conserved Features of Stem Cell Pluripotency in Planarians and Mammals

Multilayered Control of Alternative Splicing Regulatory Networks by Transcription Factors

An alternative splicing event amplifies evolutionary differences between vertebrates

The changing paradigm of intron retention: regulation, ramifications and recipes

Autism-like phenotype and risk gene mRNA deadenylation by CPEB4 mis-splicing

Alternative splicing landscapes in Arabidopsis thaliana across tissues and stress conditions highlight major functional differences with animals

Complex transcriptional regulation and independent evolution of fungal-like traits in a relative of animals

A novel protein domain in an ancestral splicing factor drove the evolution of neural microexons


Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

Playing Atari with Deep Reinforcement Learning

Dueling Network Architectures for Deep Reinforcement Learning

Prioritized Experience Replay

A Distributional Perspective on Reinforcement Learning

Noisy Networks for Exploration


Simple library/pipeline to generate and handle Hi-C data.

instaGRAAL: chromosome-level quality scaffolding of genomes using a proximity ligation-based scaffolder

Chromosome-level genome assembly reveals homologous chromosomes and recombination in asexual rotifer Adineta vaga

Zenodo (CERN European Organization for Nuclear Research)

Serpentine: a flexible 2D binning method for differential Hi-C analysis

Transcription-induced domains form the elementary constraining building blocks of bacterial chromosomes

koszullab/hicstuff: Use miniconda layer for docker and improved P(s) normalisation

Bacterial Membrane Vesicles as a Novel Strategy for Extrusion of Antimicrobial Bismuth Drug in Helicobacter pylori

Generation of gene-level resolution chromosome contact maps in bacteria and archaea

Viral proteins activate PARIS-mediated tRNA degradation and viral tRNAs rescue infection

bioRxiv : the preprint server for biology

Normalization of Chromosome Contact Maps: Matrix Balancing and Visualization.

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

Chromosome-level quality scaffolding of brown algal genomes using InstaGRAAL, a proximity ligation-based scaffolder


Quantum dynamics package based on tensor network states

A general charge transport picture for organic semiconductors with nonlocal electron-phonon couplings

A general automatic method for optimal construction of matrix product operators using bipartite graph theory

TenCirChem: An Efficient Quantum Computational Chemistry Package for the NISQ Era

Efficient quantum simulation of electron-phonon systems by variational basis state encoder

Unbiasing Fermionic Auxiliary-Field Quantum Monte Carlo with Matrix
  Product State Trial Wavefunctions

Hybrid Quantum-Classical Boson Sampling Algorithm for Molecular Vibrationally Resolved Electronic Spectroscopy with Duschinsky Rotation and Anharmonicity

The journal of physical chemistry letters

Optimal tree tensor network operators for tensor network simulations: Applications to open quantum systems

Improved modularity and new features in ipie: Toward even larger AFQMC
  calculations on CPUs and GPUs at zero and finite temperatures


Hamilton-Jacobi Reachability: A Brief Overview and Recent Advances

Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions

BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning

Formal Certification Methods for Automated Vehicle Safety Assessment

Reachability-Based Safety Guarantees using Efficient Initializations

Reach-Avoid Problems via Sum-of-Squares Optimization and Dynamic Programming

Hamilton-Jacobi Equations for Two Classes of State-Constrained Zero-Sum Games

TTR-Based Reward for Reinforcement Learning with Implicit Model Priors

On Safety and Liveness Filtering Using Hamilton-Jacobi Reachability Analysis

Safety Verification of Model Based Reinforcement Learning Controllers


Digital Design with Chisel

Deep Learning Accelerators’ Configuration Space Exploration Effect on Performance and Resource Utilization: A Gemmini Case Study

Open-Source Verification with Chisel and Scala


Flexible classic and NeurAl Retrieval Toolkit

Off the Beaten Path: Let's Replace Term-Based Retrieval with k-NN Search

International Conference on Information and Knowledge Management

A Systematic Evaluation of Transfer Learning and Pseudo-labeling with BERT-based Ranking Models

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

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

Flexible retrieval with NMSLIB and FlexNeuART

Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency Benefits

Understanding Performance of Long-Document Ranking Models through Comprehensive Evaluation and Leaderboarding

Traditional IR rivals neural models on the MS MARCO Document Ranking Leaderboard


Standalone NECI codebase designed for FCIQMC and other stochastic quantum chemistry methods.

Efficient formulation of full configuration interaction quantum Monte Carlo in a spin eigenbasis via the graphical unitary group approach

Compact numerical solutions to the two-dimensional repulsive Hubbard model obtained via nonunitary similarity transformations

Density matrices in full configuration interaction quantum Monte Carlo: Excited states, transition dipole moments, and parallel distribution

Spin-Pure Stochastic-CASSCF via GUGA-FCIQMC Applied to Iron-Sulfur Clusters.

Communication: An efficient and accurate perturbative correction to initiator full configuration interaction quantum Monte Carlo.

Data Management Plans: the Importance of Data Management in the BIG-MAP Project

Efficient and stochastic multireference perturbation theory for large active spaces within a full configuration interaction quantum Monte Carlo framework

Preconditioning and Perturbative Estimators in Full Configuration Interaction Quantum Monte Carlo

Journal of chemical theory and computation

Enhancement of superexchange due to synergetic breathing and hopping in corner-sharing cuprates

Eliminating the wave-function singularity for ultracold atoms by a similarity transformation


Quetzal is a modeling library designed for transport planning and traffic forecasts


Import GTFS transit data into SQLite and query routes, stops, times, fares and more.


SchNetPack - Deep Neural Networks for Atomistic Systems

SchNet: A continuous-filter convolutional neural network for modeling quantum interactions

Accurate and scalable multi-element graph neural network force field and molecular dynamics with direct force architecture

Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs

SchNetPack 2.0: A neural network toolbox for atomistic machine learning

Characterizing Uncertainty in Machine Learning for Chemistry

Journal of chemical information and modeling

Molecular dynamics simulations of heat transport using machine-learned potentials: A mini-review and tutorial on GPUMD with neuroevolution potentials

Machine Learning Interatomic Potentials for Reactive Hydrogen Dynamics at Metal Surfaces Based on Iterative Refinement of Reaction Probabilities

LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite

Stress and heat flux via automatic differentiation

NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning


Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

Deep Residual Learning for Image Recognition

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

A ConvNet for the 2020s

BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

CNN Architectures for Large-Scale Audio Classification

TSM: Temporal Shift Module for Efficient Video Understanding

Is Space-Time Attention All You Need for Video Understanding?

Swin Transformer V2: Scaling Up Capacity and Resolution


Asymptotic Improvements to Quantum Circuits via Qutrits

PROCEEDINGS OF THE 2019 46TH INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE (ISCA '19)

Resource-Efficient Quantum Computing by Breaking Abstractions

New Abstractions for Quantum Computing


e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks

e-SNLI-VE: Corrected Visual-Textual Entailment with Natural Language Explanations

AlignVE: Visual Entailment Recognition Based on Alignment Relations

Benchmarking Faithfulness: Towards Accurate Natural Language Explanations in Vision-Language Tasks


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

SciBERT: A Pretrained Language Model for Scientific Text

Drug Repurposing for COVID-19 via Knowledge Graph Completion

Building a PubMed knowledge graph

NCUEE at MEDIQA 2019: Medical Text Inference Using Ensemble BERT-BiLSTM-Attention Model

SIGBIOMED WORKSHOP ON BIOMEDICAL NATURAL LANGUAGE PROCESSING (BIONLP 2019)

A Multi-Task Approach for Improving Biomedical Named Entity Recognition by Incorporating Multi-Granularity information

Meeting of the Association for Computational Linguistics

Bio-AnswerFinder: a system to find answers to questions from biomedical texts

Database : the journal of biological databases and curation

Automated Coding of Under-Studied Medical Concept Domains: Linking Physical Activity Reports to the International Classification of Functioning, Disability, and Health

A Sentence Classification Framework to Identify Geometric Errors in Radiation Therapy from Relevant Literature

Decouple knowledge from parameters for plug-and-play language modeling


PyTorch Implementation of Non-autoregressive Expressive (emotional, conversational) TTS based on FastSpeech2, supporting English, Korean, and your own languages.

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

FastSpeech: Fast, Robust and Controllable Text to Speech

Exploring Transfer Learning for Low Resource Emotional TTS

DailyTalk: Spoken Dialogue Dataset for Conversational Text-to-Speech

Enhancing Speaking Styles in Conversational Text-to-Speech Synthesis with Graph-Based Multi-Modal Context Modeling

STUDIES: Corpus of Japanese Empathetic Dialogue Speech Towards Friendly Voice Agent

Acoustic Modeling for End-to-End Empathetic Dialogue Speech Synthesis Using Linguistic and Prosodic Contexts of Dialogue History


Find all significant local alignments between reads

Mechanisms of Surface Antigenic Variation in the Human Pathogenic Fungus Pneumocystis jirovecii

A highly contiguous genome assembly of the bat hawkmoth Hyles vespertilio (Lepidoptera: Sphingidae)

The genome of the "Sea Vomit" Didemnum vexillum


Automating Outlier Detection via Meta-Learning (Code, API, and Contribution Instructions)

MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning

AutoOD: Automatic Outlier Detection

Proceedings of the ACM on Management of Data

Meta-Learning for Unsupervised Outlier Detection with Optimal Transport


A flexible, scalable, and reproducible pipeline to automate variant calling from raw sequence reads, with lots of bells and whistles.

grenepipe: a flexible, scalable and reproducible pipeline to automate variant calling from sequence reads

Monitoring rapid evolution of plant populations at scale with Pool-Sequencing

grenepipe: A flexible, scalable, and reproducible pipeline to automate variant and frequency calling from sequence reads


Mitochondria Analyzer

Relationship Between Mitochondrial Structure and Bioenergetics in Pseudoxanthoma elasticum Dermal Fibroblasts

Frontiers in cell and developmental biology

Mitochondrial Role in Intrinsic Apoptosis Induced by a New Synthesized Chalcone in Hepatocellular Carcinoma Cells


neural variational document model

Neural Variational Inference for Text Processing

Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence

Spherical Latent Spaces for Stable Variational Autoencoders

Neural Topic Modeling with Bidirectional Adversarial Training

ATM:Adversarial-neural Topic Model

Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder

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

Sparsemax and Relaxed Wasserstein for Topic Sparsity

Neural Topic Modeling with Cycle-Consistent Adversarial Training

Context Reinforced Neural Topic Modeling over Short Texts

Neural Mixed Counting Models for Dispersed Topic Discovery


MATLAB programming tools for radiomics analysis

Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer

Dual-Model Radiomic Biomarkers Predict Development of Mild Cognitive Impairment Progression to Alzheimer’s Disease

Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma

Radiomics: a novel feature extraction method for brain neuron degeneration disease using 18F-FDG PET imaging and its implementation for Alzheimer's disease and mild cognitive impairment.

Therapeutic advances in neurological disorders

Combining Multiple Magnetic Resonance Imaging Sequences Provides Independent Reproducible Radiomics Features

Automatic detection of pneumonia in chest X-ray images using textural features

Quantitative CT radiomics-based models for prediction of haematoma expansion and poor functional outcome in primary intracerebral haemorrhage

Radiomics Analysis of Magnetic Resonance Imaging Facilitates the Identification of Preclinical Alzheimer’s Disease: An Exploratory Study

The effects of volume of interest delineation on MRI-based radiomics analysis: evaluation with two disease groups

Prediction of malignant glioma grades using contrast-enhanced T1-weighted and T2-weighted magnetic resonance images based on a radiomic analysis


Emmanoulopoulos style lightcurve simulation

The ultracompact nature of the black hole candidate X-ray binary 47 Tuc X9

Monthly Notices of the Royal Astronomical Society

A Python Code for the Emmanoulopoulos et al. [arXiv:1305.0304] Light Curve Simulation Algorithm

Transient quasi-periodic oscillations at γ-rays in the TeV blazar PKS 1510-089

Locating the gamma-ray emission region in the brightest Fermi-LAT flat-spectrum radio quasars

Detection of a quasi-periodic oscillation in the optical light curve of the remarkable blazar AO 0235+164

Longterm properties of accretion discs in X-ray Binaries - III. A search for spin-superorbital correlation in SMC X-1

Monthly notices of the Royal Astronomical Society

Rapid variability at very high energies in Mrk 501

A 31.3 day Transient Quasiperiodic Oscillation in Gamma-ray Emission from Blazar S5 0716+714

Broad-band study of OQ 334 during its flaring state

Exploring short-term optical variability of blazars using TESS


"In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S Rawat, Mubarak Shah (ICLR 2021)

InstructBio: A Large-scale Semi-supervised Learning Paradigm for Biochemical Problems

Confident Sinkhorn Allocation for Pseudo-Labeling


[NeurIPS'19] Deep Equilibrium Models

Deep Equilibrium Models

Multiscale Deep Equilibrium Models

On Training Implicit Models

Stabilizing Equilibrium Models by Jacobian Regularization

Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation

Test like you Train in Implicit Deep Learning

Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation


Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch

Visualizing the Loss Landscape of Neural Nets

CoPhy-PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems

ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction

"Reading Between the Heat": Co-Teaching Body Thermal Signatures for Non-intrusive Stress Detection


The source code of ISWC2020 paper "Temporal Knowledge Graph completion based on time series Gaussian embedding " and COLING2020 paper "TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation "

Temporal Knowledge Graph Completion Based on Time Series Gaussian Embedding

Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings

North American Chapter of the Association for Computational Linguistics

RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion

Hyperbolic Temporal Knowledge Graph Embeddings with Relational and Time Curvatures

Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information

ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations

Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs


MESA isochrone code

MESA ISOCHRONES AND STELLAR TRACKS (MIST) 0: METHODS FOR THE CONSTRUCTION OF STELLAR ISOCHRONES

The Astrophysical Journal Supplement Series

Stellar and Nebular Diagnostics in the Ultraviolet for Star-forming Galaxies

Self-consistent Predictions for LIER-like Emission Lines from Post-AGB Stars


Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images (TIP 2018)

Multi-Exposure Image Fusion Techniques: A Comprehensive Review

Unsupervised Multi-Exposure Image Fusion Breaking Exposure Limits via Contrastive Learning

THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 3

Image Fusion via Vision-Language Model

LightFuse: Lightweight CNN based Dual-exposure Fusion

Low-Light Image Enhancement Method for Electric Power Operation Sites Considering Strong Light Suppression


Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": UNITER adversarial training part

LXMERT: Learning Cross-Modality Encoder Representations from Transformers

Human-Adversarial Visual Question Answering

HateProof: Are Hateful Meme Detection Systems really Robust?


Maximum a Posteriori Policy Optimisation

Critic Regularized Regression

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


Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models

How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Query and Response Augmentation Cannot Help Out-of-domain Math Reasoning Generalization


STARTRAC(Single T-cell Analysis by Rna-seq and Tcr TRACking)

Tumour heterogeneity and intercellular networks of nasopharyngeal carcinoma at single cell resolution

Single-cell transcriptome profiling of an adult human cell atlas of 15 major organs

Single-cell RNA sequencing reveals intrahepatic and peripheral immune characteristics related to disease phases in HBV-infected patients

Deep single-cell RNA sequencing data of individual T cells from treatment-naïve colorectal cancer patients

STARTRAC analyses of scRNAseq data from tumor models reveal T cell dynamics and therapeutic targets


Lightning Fast Language Prediction

Enriching Word Vectors with Subword Information

Bag of Tricks for Efficient Text Classification

FastText.zip: Compressing text classification models

Automatic Language Identification in Texts: A Survey

The LMU Munich Unsupervised Machine Translation System for WMT19

Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)

Great Expectations: Unsupervised Inference of Suspense, Surprise and Salience in Storytelling


SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance

C-RNNCrispr: Prediction of CRISPR/Cas9 sgRNA activity using convolutional and recurrent neural networks

Computational and structural biotechnology journal

A Novel Hybrid CNN-SVR for CRISPR/Cas9 Guide RNA Activity Prediction

A method for characterizing Cas9 variants via a one-million target sequence library of self-targeting sgRNAs


Archive: R functions for Analysis of Composition of Microbiomes (ANCOM). Please check our ANCOMBC R package for the most up-to-date ANCOM function.

Microbiome differential abundance methods produce different results across 38 datasets

Dietary Fiber Hierarchical Specificity: the Missing Link for Predictable and Strong Shifts in Gut Bacterial Communities

Gut microbiome dysbiosis across early Parkinson’s disease, REM sleep behavior disorder and their first-degree relatives

mbImpute: an accurate and robust imputation method for microbiome data

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

Microbiome differential abundance methods produce disturbingly different results across 38 datasets

Humanization of wildlife gut microbiota in urban environments

The pulmonary mycobiome—A study of subjects with and without chronic obstructive pulmonary disease

Fecal microbiome alterations in treatment-naive de novo Parkinson’s disease

Altered Gastric Microbiota and Inflammatory Cytokine Responses in Patients with Helicobacter pylori-Negative Gastric Cancer


The last data dump of Freebase with introductory explanation of its schema

AgentBench: Evaluating LLMs as Agents

Few-shot In-context Learning for Knowledge Base Question Answering

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over
  Structured Environments

Would You Ask it that Way? Measuring and Improving Question Naturalness for Knowledge Graph Question Answering

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

Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions

Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA

Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning

How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering


SPAN: Spatial Pyramid Attention Network forImage Manipulation Localization

MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation Detection

IEEE transactions on pattern analysis and machine intelligence


DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images

DEEPScreen: high performance drug–target interaction prediction with convolutional neural networks using 2-D structural compound representations

CROssBAR: comprehensive resource of biomedical relations with knowledge graph representations

Trends and Potential of Machine Learning and Deep Learning in Drug Study at Single-Cell Level

CROssBAR: Comprehensive Resource of Biomedical Relations with Deep Learning Applications and Knowledge Graph Representations


How to Train good Word Embeddings for Biomedical NLP

An Empirical Evaluation of Deep Learning for ICD-9 Code Assignment using MIMIC-III Clinical Notes

Computer methods and programs in biomedicine

Few-shot Learning for Named Entity Recognition in Medical Text

Cancer Hallmark Text Classification Using Convolutional Neural Networks

International Conference on Computational Linguistics

Deep Residual Convolutional Neural Network for Protein-Protein Interaction Extraction

Chemical–protein interaction extraction via contextualized word representations and multihead attention

BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine.

Family member information extraction via neural sequence labeling models with different tag schemes

BMC medical informatics and decision making

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

Biomedical document triage using a hierarchical attention-based capsule network


SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning

Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm

Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow


TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers (ECCV 2022)

High-Performance Large-Scale Image Recognition Without Normalization

UniNet: Unified Architecture Search with Convolution, Transformer, and MLP


Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)

Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction

Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking

A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs

Inductive Logical Query Answering in Knowledge Graphs

Link Prediction without Graph Neural Networks


FourQlib is an efficient and portable cryptographic library that provides functions for computing elliptic curve based operations on the high-performance FourQ curve.

FourQ on embedded devices with strong countermeasures against side-channel attacks

Workshop on Cryptographic Hardware and Embedded Systems

Ultra Lightweight Multiple-time Digital Signature for the Internet of Things Devices

Symbolic Verification of Cache Side-channel Freedom

Energy-Aware Digital Signatures for Embedded Medical Devices

Exposing cache timing side-channel leaks through out-of-order symbolic execution

Proceedings of the ACM on Programming Languages


DriverPower

Analyses of non-coding somatic drivers in 2,658 cancer whole genomes

Combined burden and functional impact tests for cancer driver discovery using DriverPower

Decoding human cancer with whole genome sequencing: a review of PCAWG Project studies published in February 2020


Semi-supervised Domain Adaptation via Minimax Entropy

Reducing Domain Gap by Reducing Style Bias

CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation

Semi-Supervised Domain Adaptation Using Explicit Class-Wise Matching for Domain-Invariant and Class-Discriminative Feature Learning

Investigating Generalizability of Speech-based Suicidal Ideation Detection Using Mobile Phones

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Effective Label Propagation for Discriminative Semi-Supervised Domain Adaptation

Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble Pseudo-Labeling


Discriminative and Robust Online Learning for Siamese Visual Tracking (AAAI 2020)

Fully-Convolutional Siamese Networks for Object Tracking

SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks

Fast Online Object Tracking and Segmentation: A Unifying Approach


[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations

GIT: A Generative Image-to-text Transformer for Vision and Language

Multimodal Contrastive Training for Visual Representation Learning

CASTing Your Model: Learning to Localize Improves Self-Supervised Representations

Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles


Code for "Latent ODEs for Irregularly-Sampled Time Series" paper

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

NRTSI: Non-Recurrent Time Series Imputation

Neural Ordinary Differential Equations for Intervention Modeling

Continuous Latent Process Flows

Enhancing human-machine teaming for medical prognosis through neural ordinary differential equations (NODEs)

Learning PDE Solution Operator for Continuous Modeling of Time-Series

Efficient Certified Training and Robustness Verification of Neural ODEs


This repository provides train＆test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.

Shape Robust Text Detection with Progressive Scale Expansion Network

Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things

Scene Text Detection and Recognition: The Deep Learning Era

Curved scene text detection via transverse and longitudinal sequence connection

Detecting Curve Text in the Wild: New Dataset and New Solution

ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT)

Text Recognition in the Wild: A Survey

Scene Text Detection in Natural Images: A Review


Recurrent neural network grammars

Neural Architectures for Named Entity Recognition

DyNet: The Dynamic Neural Network Toolkit

What Do Recurrent Neural Network Grammars Learn About Syntax?

Unsupervised Recurrent Neural Network Grammars

INNOVATORS at SemEval-2021 Task-11: A Dependency Parsing and BERT-based model for Extracting Contribution Knowledge from Scientific Papers

Meeting of the Association for Computational Linguistics


Sentence aligner

Four Approaches to Low-Resource Multilingual NMT: The Helsinki Submission to the AmericasNLP 2023 Shared Task

Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP)

The FISKMÖ Project: Resources and Tools for Finnish-Swedish Machine Translation and Cross-Linguistic Research

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

Building the Spanish-Croatian Parallel Corpus

Applying a design mindset to develop a prototype of an electronic service for assessing the impact on the environment

Eastern-European Journal of Enterprise Technologies

KC4Align: Improving Sentence Alignment method for Low-resource Language Pairs

Pacific Asia Conference on Language, Information and Computation

Providing a Catalogue of Language Resources for Commercial Users

Aligning and extending technologies of parallel corpora for the Kazakh language

El corpus paral·lel del Diari Oficial de la Generalitat de Catalunya

Low-Resource Machine Translation through Retrieval-Augmented LLM
  Prompting: A Study on the Mambai Language

Evaluating Sentence Alignment Methods in a Low-Resource Setting: An English-YorùBá Study Case

Proceedings of the The Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023)


Marine Debris Datasets captured with a Forward-Looking Sonar in a water tank and turntable

A Survey of Underwater Acoustic Data Classification Methods Using Deep Learning for Shoreline Surveillance

Feature Pyramid U-Net with Attention for Semantic Segmentation of Forward-Looking Sonar Images

Forward-Looking Sonar Patch Matching: Modern CNNs, Ensembling, and Uncertainty


PyTorch implementation of LeNet-5 with live visualization

No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems

Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review

Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling

Fast Adaptation with Linearized Neural Networks

G2R Bound: A Generalization Bound for Supervised Learning from GAN-Synthetic Data


Regression-based annotation of protein-coding sequences from ribosome profiling data

The translatome of neuronal cell bodies, dendrites, and axons

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

Small Open Reading Frame-Encoded Micro-Peptides: An Emerging Protein World

International journal of molecular sciences

Neuronal activity rapidly reprograms dendritic translation via eIF4G2:uORF binding

Tracing Translational Footprint by Ribo-Seq: Principle, Workflow, and Applications to Understand the Mechanism of Human Diseases


R package - Analysis of Single Cell Expression, Normalisation and Differential expression (ascend)

An Introduction to the Analysis of Single-Cell RNA-Sequencing Data

Molecular therapy. Methods & clinical development

Single-Cell Transcriptional Profiling of Aortic Endothelium Identifies a Hierarchy from Endovascular Progenitors to Differentiated Cells

ascend: R package for analysis of single-cell RNA-seq data

Generation of human neural retina transcriptome atlas by single cell RNA sequencing


Tools for the analysis of structural variation in genomes

Telomere-to-telomere assembly of a complete human X chromosome

Towards population-scale long-read sequencing

Benchmarking challenging small variants with linked and long reads

A crowdsourced set of curated structural variants for the human genome

An INDEL genomic approach to explore population diversity of phytoplankton


A suite of tools for optimizing the shape and topology of electromagnetic structures.

Inverse design of grating couplers using the policy gradient method from reinforcement learning

Adjoint optimization of polarization-splitting grating couplers

Automatic differentiation accelerated shape optimization approaches to photonic inverse design on rectilinear simulation grids


This Gazebo world is well suited for organizations who are building and testing robot applications in hospitals.

Entropy Based Multi-robot Active SLAM

Semantic and Topological Mapping using Intersection Identification

Enhancing Robot Explanation Capabilities through Vision-Language Models:
  a Preliminary Study by Interpreting Visual Inputs for Improved Human-Robot
  Interaction

ALPHA: Attention-based Long-horizon Pathfinding in Highly-structured Areas


A python package that includes many methods for decoding neural activity

Machine learning for neural decoding

Altered brain-wide auditory networks in a zebrafish model of fragile X syndrome

A Comparison of Neural Decoding Methods and Population Coding Across Thalamo-Cortical Head Direction Cells

Distributed coding of duration in rodent prefrontal cortex during time reproduction

Cortical Representation of Movement Across the Developmental Transition to Continuous Neural Activity

bioRxiv : the preprint server for biology


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


Climate Data Store Toolbox for MATLAB


On the Variance of the Adaptive Learning Rate and Beyond

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

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

PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance

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

Architectural Patterns for the Design of Federated Learning Systems

A Hybrid Neural Network Model for Commonsense Reasoning

FLRA: A Reference Architecture for Federated Learning Systems

CLUES: Few-Shot Learning Evaluation in Natural Language Understanding

Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach


[ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable

A Survey of Machine Unlearning

Availability Attacks Create Shortcuts

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

Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression

Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks

Indiscriminate Poisoning Attacks Are Shortcuts.

Fooling Adversarial Training with Inducing Noise

Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors


Baselines models for GuacaMol benchmarks

Proximal Policy Optimization Algorithms

GuacaMol: Benchmarking Models for De Novo Molecular Design

Journal of chemical information and modeling

A Model to Search for Synthesizable Molecules

Generating Focussed Molecule Libraries for Drug Discovery with Recurrent Neural Networks

DOCKSTRING: Easy Molecular Docking Yields Better Benchmarks for Ligand Design

Guiding Deep Molecular Optimization with Genetic Exploration

Barking up the right tree: an approach to search over molecule synthesis DAGs


Solving two-dimensional spin models with tensor networks (powered by PyTorch)

Differentiable Programming Tensor Networks

Faster methods for contracting infinite two-dimensional tensor networks

Simulating Chiral Spin Liquids with Projected Entangled-Pair States.

Static and dynamical signatures of Dzyaloshinskii-Moriya interactions in the Heisenberg model on the kagome lattice

Field-induced Bose-Einstein condensation and supersolid in the two-dimensional Kondo necklace

Incommensurate order with translationally invariant projected entangled-pair states: Spiral states and quantum spin liquid on the anisotropic triangular lattice

Symmetric projected entangled-pair states analysis of a phase transition in coupled spin- 12 ladders

Variational tensor network operator

variPEPS -- a versatile tensor network library for variational ground state simulations in two spatial dimensions

Simulating Spin Dynamics of Supersolid States in a Quantum Ising Magnet


Accompanying repo for the RLPrompt paper

RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning

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

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

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

Efficient Prompting Methods for Large Language Models: A Survey

Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL

Annual Meeting of the Association for Computational Linguistics


A library for k-nearest neighbor search

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

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

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

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

A Revisit of Hashing Algorithms for Approximate Nearest Neighbor Search

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

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

Flexible retrieval with NMSLIB and FlexNeuART

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

Large-Scale Visual Search with Binary Distributed Graph at Alibaba

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


Ambiguity of Uppercase vs Lowercase in RFC 2119 Key Words

Sender Policy Framework (SPF) for Authorizing Use of Domains in Email, Version 1

Domain-based Message Authentication, Reporting, and Conformance (DMARC)

The Authenticated Received Chain (ARC) Protocol


Workflow for Optimal Radiomics Classification

Radiomics approach to distinguish between well differentiated liposarcomas and lipomas on MRI

A Multi-Center, Multi-Vendor Study to Evaluate the Generalizability of a Radiomics Model for Classifying Prostate cancer: High Grade vs. Low Grade

Differential Diagnosis and Molecular Stratification of Gastrointestinal Stromal Tumors on CT Images Using a Radiomics Approach

Differential diagnosis and mutation stratification of desmoid-type fibromatosis on MRI using radiomics

The WORC* database: MRI and CT scans, segmentations, and clinical labels for 930 patients from six radiomics studies

Reproducible radiomics through automated machine learning validated on twelve clinical applications

The BRAF P.V600E Mutation Status of Melanoma Lung Metastases Cannot Be Discriminated on Computed Tomography by LIDC Criteria nor Radiomics Using Machine Learning

Quality of Multicenter Studies Using MRI Radiomics for Diagnosing Clinically Significant Prostate Cancer: A Systematic Review

Optimization of Preoperative Lymph Node Staging in Patients with Muscle-Invasive Bladder Cancer Using Radiomics on Computed Tomography


Basin and Landscape Dynamics model

pyBadlands: A framework to simulate sediment transport, landscape dynamics and basin stratigraphic evolution through space and time

Multicore Parallel Tempering Bayeslands for Basin and Landscape Evolution


A home for ethereum smart contracts.

Elysium: Context-Aware Bytecode-Level Patching to Automatically Heal Vulnerable Smart Contracts

Abusing the Ethereum Smart Contract Verification Services for Fun and Profit

Characterizing Ethereum Upgradable Smart Contracts and Their Security Implications

Identifying Smart Contract Security Issues in Code Snippets from Stack Overflow

International Symposium on Software Testing and Analysis


Datasets and tools for basic natural language processing.

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

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

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

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

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


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

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

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

From distributed machine learning to federated learning: a survey

M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models

Explainability of Vision Transformers: A Comprehensive Review and New Perspectives


Energy Rating Index (ERI) calculation via OpenStudio/EnergyPlus.


Multi-Generator (MGEN) traffic generation tool

TNT: A Tactical Network Test platform to evaluate military systems over ever-changing scenarios

Elastic Provisioning of Network and Computing Resources at the Edge for IoT Services

AIRIC: Orchestration of Virtualized Radio Access Networks With Noisy Neighbours

X-GRL: An Empirical Assessment of Explainable GNN-DRL in B5G/6G Networks


A package for combining dithered images into a single image

Palomar Gattini-IR: Survey Overview, Data Processing System, On-sky Performance and First Results

Publications of the Astronomical Society of the Pacific

From Images to Dark Matter: End-to-end Inference of Substructure from Hundreds of Strong Gravitational Lenses

The interstellar medium of high-redshift galaxies: Gathering clues from C III] and [C II] lines


Intel:registered: Homomorphic Encryption Acceleration Library accelerates modular arithmetic operations used in homomorphic encryption

Intel HEXL: Accelerating Homomorphic Encryption with Intel AVX512-IFMA52

FDFB: Full Domain Functional Bootstrapping Towards Practical Fully Homomorphic Encryption

Verifiable Fully Homomorphic Encryption

Accelerating Encrypted Computing on Intel GPUs

SoK: Fully Homomorphic Encryption Accelerators

CryptoTL: Private, Efficient and Secure Transfer Learning


Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

node2vec: Scalable Feature Learning for Networks

DeepWalk: Online Learning of Social Representations

PROCEEDINGS OF THE 20TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD'14)

GraRep: Learning Graph Representations with Global Structural Information

International Conference on Information and Knowledge Management

Asymmetric Transitivity Preserving Graph Embedding

Network Representation Learning with Rich Text Information

PROCEEDINGS OF THE TWENTY-FOURTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI)

Community Preserving Network Embedding

THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

WSDM - Overlapping community detection at scale: a nonnegative matrix factorization approach

Multi-scale Attributed Node Embedding

graph2vec: Learning Distributed Representations of Graphs


Some notes on things I find interesting and important.

Membership Inference Attacks against Machine Learning Models

Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning

Renyi Differential Privacy

IEEE Computer Security Foundations Symposium

LOGAN: Membership Inference Attacks Against Generative Models

A Secure Federated Transfer Learning Framework

Evaluating Differentially Private Machine Learning in Practice

Towards the Science of Security and Privacy in Machine Learning

Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics

Differentially Private SQL with Bounded User Contribution

Synthetic Data -- what, why and how?


news-please - an integrated web crawler and information extractor for news that just works

Trafilatura: A Web Scraping Library and Command-Line Tool for Text Discovery and Extraction

Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Fine-grained Classification of Political Bias in German News: A Data Set and Initial Experiments

WOAH 2021: THE 5TH WORKSHOP ON ONLINE ABUSE AND HARMS

NewsEmbed: Modeling News through Pre-trained Document Representations

Tackling Fake News Detection by Interactively Learning Representations using Graph Neural Networks

Proceedings of the First Workshop on Interactive Learning for Natural Language Processing

Harvest - An Open Source Toolkit for Extracting Posts and Post Metadata from Web Forums

Interactively Learning Social Media Representations Improves News Source Factuality Detection


Speech Recognition using DeepSpeech2.

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

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

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

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

MASR: A Modular Accelerator for Sparse RNNs

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

Untangling in Invariant Speech Recognition

Recent Advances in End-to-End Spoken Language Understanding

Statistical Language and Speech Processing

Adversarial Auto-Encoding for Packet Loss Concealment

Revisiting BFloat16 Training


A fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please see the original readme.

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

Temporal Segment Networks for Action Recognition in Videos

Real-time Action Recognition with Enhanced Motion Vector CNNs

Towards Good Practices for Very Deep Two-Stream ConvNets

Actionness Estimation Using Hybrid Fully Convolutional Networks

Places205-VGGNet Models for Scene Recognition

Knowledge Guided Disambiguation for Large-Scale Scene Classification With Multi-Resolution CNNs

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

End-to-end Video-level Representation Learning for Action Recognition

Video Activity Recognition: State-of-the-Art

Spatio-temporal Person Retrieval via Natural Language Queries