An R package for classification of immune subtypes, in cancer, using gene expression data.

Robust classification of Immune Subtypes in Cancer

Lymph node and tumor-associated PD-L1+ macrophages antagonize dendritic cell vaccines by suppressing CD8+ T cells

A New Epigenetic Model to Stratify Glioma Patients According to Their Immunosuppressive State

Immune Subtypes in LUAD Identify Novel Tumor Microenvironment Profiles With Prognostic and Therapeutic Implications

A High Epigenetic Risk Score Shapes the Non-Inflamed Tumor Microenvironment in Breast Cancer


Visualization toolkit for neural networks in PyTorch! Demo -->

Very Deep Convolutional Networks for Large-Scale Image Recognition

Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Striving for Simplicity: The All Convolutional Net

One weird trick for parallelizing convolutional neural networks

Rethinking the Trigger of Backdoor Attack

Open-Set Text Recognition via Character-Context Decoupling

Towards automatic detection of wildlife trade using machine vision models


Weak lensing measurement pipeline for wide area surveys

Dark Energy Survey Year 1 results: weak lensing mass calibration of redMaPPer galaxy clusters

Monthly Notices of the Royal Astronomical Society

Consistent lensing and clustering in a low-S8 Universe with BOSS, DES Year 3, HSC Year 1, and KiDS-1000

Dark Energy Survey Year 1 results: validation of weak lensing cluster member contamination estimates from P(z) decomposition

Lensing without borders – I. A blind comparison of the amplitude of galaxy–galaxy lensing between independent imaging surveys


Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Playing Atari with Deep Reinforcement Learning

Asynchronous Methods for Deep Reinforcement Learning

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

Trust Region Policy Optimization

Addressing Function Approximation Error in Actor-Critic Methods

DeepMind Control Suite

Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

AMP


Assembler for NVIDIA Maxwell architecture

Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions

Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking

Dissecting the NVidia Turing T4 GPU via Microbenchmarking

Modeling Deep Learning Accelerator Enabled GPUs

maxDNN: An Efficient Convolution Kernel for Deep Learning with Maxwell GPUs

Verified instruction-level energy consumption measurement for NVIDIA GPUs

Low Overhead Instruction Latency Characterization for NVIDIA GPGPUs

Implementing Strassen's Algorithm with CUTLASS on NVIDIA Volta GPUs

Cimple: Instruction and Memory Level Parallelism

RegDem: Increasing GPU Performance via Shared Memory Register Spilling


Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)

Decoupling Representation and Classifier for Long-Tailed Recognition

Instance-Conditioned GAN

To Balance or Not to Balance: A Simple-yet-Effective Approach for Learning with Long-Tailed Distributions

Cyclical Focal Loss

Decoupled Training for Long-Tailed Classification With Stochastic Representations


Detection of pseudogene candidates in bacterial and archaeal genomes.

Pseudofinder: Detection of Pseudogenes in Prokaryotic Genomes

Anaerobic endosymbiont generates energy for ciliate host by denitrification

Transitional genomes and nutritional role reversals identified for dual symbionts of adelgids (Aphidoidea: Adelgidae)

Genomic Features of Salmonella enterica Subspecies houtenae Serotype 45:g,z51:- Isolated from Multiple Abdominal Abscesses of an African Fat-Tailed Gecko, United States, 2020

Phylogenetic Relatedness and Genome Structure of Yersinia ruckeri Revealed by Whole Genome Sequencing and a Comparative Analysis


Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

International Journal of Computer Vision

Learning Deep Features for Discriminative Localization

Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks

Workshop on Applications of Computer Vision

Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks

LayerCAM: Exploring Hierarchical Class Activation Maps for Localization

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

Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs

Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models

Image-Based Wheat Fungi Diseases Identification by Deep Learning

SS-CAM: Smoothed Score-CAM for Sharper Visual Feature Localization

IS-CAM: Integrated Score-CAM for axiomatic-based explanations


This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.

Deep Learning for Medical Image Processing: Overview, Challenges and Future

Regularizing CNNs with Locally Constrained Decorrelations

Recent Development on Detection Methods for the Diagnosis of Diabetic Retinopathy

Enhancing SDO/HMI images using deep learning

RoadNet-RT: High Throughput CNN Architecture and SoC Design for Real-Time Road Segmentation

Training deep neural networks for wireless sensor networks using loosely and weakly labeled images


Research code for pixel-based encoders of language (PIXEL)

Masked Autoencoders Are Scalable Vision Learners

Language Modelling with Pixels

Text Rendering Strategies for Pixel Language Models

PHD: Pixel-Based Language Modeling of Historical Documents


A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Pyramid Scene Parsing Network

Rethinking Atrous Convolution for Semantic Image Segmentation

Dual Attention Network for Scene Segmentation

Deep High-Resolution Representation Learning for Visual Recognition

Fully Convolutional Networks for Semantic Segmentation

OCNet: Object Context Network for Scene Parsing

Hierarchical Multi-Scale Attention for Semantic Segmentation

ACFNet: Attentional Class Feature Network for Semantic Segmentation

Co-Occurrent Features in Semantic Segmentation


Bioinformatic pipeline for identifying dsDNA breaks by marker based incorporation, such as breaks induced by designer nucleases like Cas9.

Genome-wide detection of CRISPR editing in vivo using GUIDE-tag

A more efficient CRISPR-Cas12a variant derived from Lachnospiraceae bacterium MA2020

LPA disruption with AAV-CRISPR potently lowers plasma apo(a) in transgenic mouse model: A proof-of-concept study

Molecular therapy. Methods & clinical development

Additional file 4: of iGUIDE: an improved pipeline for analyzing CRISPR cleavage specificity

Gene editing-based targeted integration for correction of Wiskott-Aldrich syndrome


General tools for Astronomical Time Series in Python

PERIODOGRAMS FOR MULTIBAND ASTRONOMICAL TIME SERIES

Inferring probabilistic stellar rotation periods using Gaussian processes

K2 Rotation Periods for Low-mass Hyads and a Quantitative Comparison of the Distribution of Slow Rotators in the Hyades and Praesepe

Poking the Beehive from Space: K2 Rotation Periods for Praesepe

K2 ROTATION PERIODS FOR LOW-MASS HYADS AND THE IMPLICATIONS FOR GYROCHRONOLOGY

The heart of the swarm: K2 photometry and rotational characteristics of 56 Jovian Trojan asteroids

SYSTEMATICS-INSENSITIVE PERIODIC SIGNAL SEARCH WITH K2

Uninterrupted optical light curves of main-belt asteroids from the K2 mission

Properties of the Irregular Satellite System around Uranus Inferred from K2, Herschel, and Spitzer Observations

Zwicky Transient Facility and Globular Clusters: The RR Lyrae gri-band Period–Luminosity–Metallicity and Period–Wesenheit–Metallicity Relations


evm binary static analysis

Empirical Review of Automated Analysis Tools on 47,587 Ethereum Smart Contracts

Zenodo (CERN European Organization for Nuclear Research)

Vandal: A Scalable Security Analysis Framework for Smart Contracts

SAILFISH: Vetting Smart Contract State-Inconsistency Bugs in Seconds

An Analysis of Smart Contracts Security Threats Alongside Existing Solutions

A Comparative Evaluation of Automated Analysis Tools for Solidity Smart Contracts


A high-level, easy-to-deploy non-uniform Fast Fourier Transform in PyTorch.

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

An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image Reconstruction

Data Consistent Deep Rigid MRI Motion Correction

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

Retrospective Motion Correction in Gradient Echo MRI by Explicit Motion Estimation Using Deep CNNs

Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains

PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative MRI Reconstruction

Scalable Bayesian uncertainty quantification with data-driven priors for radio interferometric imaging

Exploiting Manifold Structured Data Priors for Improved MR Fingerprinting Reconstruction


SiMon -- Simulation Monitor

Stability of multiplanetary systems in star clusters

Inside-Out Planet Formation: VI. Oligarchic Coagulation of Planetesimals from a Pebble Ring?

SiMon: Simulation Monitor for Computational Astrophysics

Publications of the Astronomical Society of the Pacific

DeepGalaxy: Deducing the Properties of Galaxy Mergers from Images Using Deep Neural Networks

PROCEEDINGS OF 2020 IEEE/ACM 5TH WORKSHOP ON DEEP LEARNING ON SUPERCOMPUTERS (DLS 2020)


motus - a tool for marker gene-based OTU (mOTU) profiling

mOTUs: Profiling Taxonomic Composition, Transcriptional Activity and Strain Populations of Microbial Communities

Reference genome-independent taxonomic profiling of microbiomes with mOTUs3

Commensal bacteria promote azathioprine-therapy-failure in inflammatory bowel disease via decreasing 6-mercaptopurine bioavailability

Taxonomy, Sequence Variance and Functional Profiling of the Microbial Community of Long-Ripened Cheddar Cheese Using Shotgun Metagenomics


Source for AusTraits

AusTraits, a curated plant trait database for the Australian flora

The AusTraits plant dictionary

AusTraits: a curated plant trait database for the Australian flora


SONAR, a new multilingual and multimodal fixed-size sentence embedding space, with a full suite of speech and text encoders and decoders.

No Language Left Behind: Scaling Human-Centered Machine Translation

Seamless: Multilingual Expressive and Streaming Speech Translation

SeamlessM4T: Massively Multilingual & Multimodal Machine Translation

SONAR: Sentence-Level Multimodal and Language-Agnostic Representations


Neural end-to-end Speech Translation Toolkit

Attention Is All You Need

Pay Less Attention with Lightweight and Dynamic Convolutions

Towards Making the Most of BERT in Neural Machine Translation

NeurST: Neural Speech Translation Toolkit

Finding Sparse Structures for Domain Specific Neural Machine Translation

GigaST: A 10,000-hour Pseudo Speech Translation Corpus

The Volctrans Neural Speech Translation System for IWSLT 2021

Controlling Styles in Neural Machine Translation with Activation Prompt

End-to-End Speech-to-Text Translation: A Survey


A high performance framework for radiation therapy simulation and numerical solutions for kinetic equations.

A structure-preserving surrogate model for the closure of the moment system of the Boltzmann equation using convex deep neural networks

Neural network-based, structure-preserving entropy closures for the Boltzmann moment system

KiT-RT: An Extendable Framework for Radiative Transfer and Therapy

Predicting continuum breakdown with deep neural networks


DL1 HDF5 format IACT data writer + reader + processor

Studying deep convolutional neural networks with hexagonal lattices for imaging atmospheric Cherenkov telescope event reconstruction

CTLearn: Deep Learning for Gamma-ray Astronomy

Reconstruction of stereoscopic CTA events using deep learning with CTLearn

IACT event analysis with the MAGIC telescopes using deep convolutional neural networks with CTLearn

The performance of the MAGIC telescopes using deep convolutional neural networks with CTLearn

Prospects for the Use of Photosensor Timing Information with Machine Learning Techniques in Background Rejection


Python distribution of the MatLab package UTide

Modelling the barotropic sea level in the Mediterranean Sea using data assimilation

HIDRA2: deep-learning ensemble sea level and storm tide forecasting in the presence of seiches – the case of the northern Adriatic

Testing Ocean Software with Metamorphic Testing

Proceedings of the 7th International Workshop on Metamorphic Testing


Bayesian Atmospheric Radiative Transfer fitting code

TEA: A CODE CALCULATING THERMOCHEMICAL EQUILIBRIUM ABUNDANCES

The Astrophysical Journal Supplement Series

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

Identifying the ‘true’ radius of the hot sub-Neptune CoRoT-24b by mass-loss modelling

Monthly Notices of the Royal Astronomical Society: Letters

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

An Open-source Bayesian Atmospheric Radiative Transfer (BART) Code. II. The Transit Radiative Transfer Module and Retrieval of HAT-P-11b

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

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

Observations, Thermochemical Calculations, and Modeling of Exoplanetary Atmospheres

Radiative transfer and inversion codes for characterizing planetary atmospheres: an overview

Frontiers in Astronomy and Space Sciences


Build large-scale task workflows: luigi + job submission + remote targets + environment sandboxing using Docker/Singularity

Design and Execution of make-like, distributed Analyses based on Spotify's Pipelining Package Luigi

Fixing Dockerfile Smells: An Empirical Study

A Workflow Management System Guide

Design Pattern for Analysis Automation on Distributed Resources using Luigi Analysis Workflows


Neural Network Verification Software Tool

Algorithms for Verifying Deep Neural Networks

NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems

Verification of Deep Convolutional Neural Networks Using ImageStars

Verification for Machine Learning, Autonomy, and Neural Networks Survey

Improved Geometric Path Enumeration for Verifying ReLU Neural Networks

The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

A Review of Formal Methods applied to Machine Learning

Formal Certification Methods for Automated Vehicle Safety Assessment

Robustness Verification of Semantic Segmentation Neural Networks Using Relaxed Reachability

The Fourth International Verification of Neural Networks Competition (VNN-COMP 2023): Summary and Results


Genome Assembly and Annotation Service code

Genome Sequencing of Pleurozium schreberi: The Assembled and Annotated Draft Genome of a Pleurocarpous Feather Moss

Dissecting the Effects of Selection and Mutation on Genetic Diversity in Three Wood White (Leptidea) Butterfly Species

Evolutionary History of the Marchantia polymorpha Complex

LGAAP: Leishmaniinae Genome Assembly and Annotation Pipeline

The first genome for the Cape Primrose Streptocarpus rexii (Gesneriaceae), a model plant for studying meristem‐driven shoot diversity

Pan-genome analysis of six completeParacoccustype strain genomes from hybrid next generation sequencing

Pan-genome analysis of six Paracoccus type strain genomes reveal lifestyle traits


Python Financial ENGineering (PyFENG package in PyPI.org)

A Black-Scholes user's guide to the Bachelier model

The equivalent constant-elasticity-of-variance (CEV) volatility of the stochastic-alpha-beta-rho (SABR) model

A note on the option price and 'Mass at zero in the uncorrelated SABR model and implied volatility asymptotics'


Africa open COVID-19 data working group

Covid-19: Open-Data Resources for Monitoring, Modeling, and Forecasting the Epidemic

Use of Available Data To Inform The COVID-19 Outbreak in South Africa: A Case Study

Open Data Resources for Fighting COVID-19


Grid Singularity Energy Exchange


Download and process satellite imagery in Python using Sentinel Hub services.

APPLICATION OF TEMPORAL CONVOLUTIONAL NEURAL NETWORK FOR THE CLASSIFICATION OF CROPS ON SENTINEL-2 TIME SERIES

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


The P programming language.

Compositional programming and testing of dynamic distributed systems

Proceedings of the ACM on Programming Languages

Verifying Asynchronous Event-Driven Programs Using Partial Abstract Transformers (Extended Manuscript)

Data Flow Analysis of Asynchronous Systems using Infinite Abstract Domains


Hclust2 is a handy tool for plotting heat-maps with several useful options to produce high quality figures that can be used in publication.

Evolution of antibiotic resistance at low antibiotic concentrations including selection below the minimal selective concentration

Remodeling of the maternal gut microbiome during pregnancy is shaped by parity

Hallstatt miners consumed blue cheese and beer during the Iron Age and retained a non-Westernized gut microbiome until the Baroque period

Isolation of Elizabethkingia anophelis From COVID-19 Swab Kits

The Time Sequence of Gene Expression Changes after Spinal Cord Injury

Multi-faceted metagenomic analysis of spacecraft associated surfaces reveal planetary protection relevant microbial composition

Long-Term, Simultaneous Impact of Antimicrobials on the Efficiency of Anaerobic Digestion of Sewage Sludge and Changes in the Microbial Community

Insights into the Adolescent Cystic Fibrosis Airway Microbiome Using Shotgun Metagenomics

International journal of molecular sciences


The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"

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

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

A comprehensive study of speed prediction in transportation system: From vehicle to traffic

Urban Regional Function Guided Traffic Flow Prediction


Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

Learning Fine-grained Image Similarity with Deep Ranking

Retrieving Similar E-Commerce Images Using Deep Learning

MILDNet: A Lightweight Single Scaled Deep Ranking Architecture


Detection of Molecules plugin for ImageJ, Utrecht University

CLASP Suppresses Microtubule Catastrophes through a Single TOG Domain

Concerted action of kinesins KIF5B and KIF13B promotes efficient secretory vesicle transport to microtubule plus ends

Kinesin-4 KIF21B is a potent microtubule pausing factor

Myosin-V Induces Cargo Immobilization and Clustering at the Axon Initial Segment

Unravelling Channel Structure–Diffusivity Relationships in Zeolite ZSM‐5 at the Single‐Molecule Level

Robust adaptive optics for localization microscopy deep in complex tissue

Probing the Interplay between Dendritic Spine Morphology and Membrane-Bound Diffusion

Comparing strategies for deep astigmatism-based single-molecule localization microscopy.

Nanoscopy of single antifreeze proteins reveals that reversible ice binding is sufficient for ice recrystallization inhibition but not thermal hysteresis

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

Small Peptide–Protein Interaction Pair for Genetically Encoded, Fixation Compatible Peptide-PAINT


Dataset and codes for ACL 2019 DocRED: A Large-Scale Document-Level Relation Extraction Dataset.

Coreferential Reasoning Learning for Language Representation

ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning

Global-to-Local Neural Networks for Document-Level Relation Extraction

DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction

Document-Level Relation Extraction with Sentences Importance Estimation and Focusing

Dual Supervision Framework for Relation Extraction with Distant Supervision and Human Annotation

Boosting Document-Level Relation Extraction by Mining and Injecting Logical Rules

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Mention-centered Graph Neural Network for Document-level Relation Extraction

Self-distillation framework for document-level relation extraction in low-resource environments


Contrastive Multi-View Representation Learning on Graphs

Graph Self-Supervised Learning: A Survey

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

From Canonical Correlation Analysis to Self-supervised Graph Neural Networks

Learning from Counterfactual Links for Link Prediction

Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices

Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum

SAIL: Self-Augmented Graph Contrastive Learning

Uncovering the Structural Fairness in Graph Contrastive Learning

ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification


Dynamic Memory Networks (https://arxiv.org/abs/1603.01417) in Tensorflow

Dynamic Memory Networks for Visual and Textual Question Answering

Query-Reduction Networks for Question Answering

Query-Regression Networks for Machine Comprehension.


Implementation of the "Poincare Glove: Hyperbolic word embeddings" paper

Poincaré GloVe: Hyperbolic Word Embeddings

Embedding Words in Non-Vector Space with Unsupervised Graph Learning

Cross-lingual Word Embeddings in Hyperbolic Space

Review-Based Cross-Domain Recommendation via Hyperbolic Embedding and
  Hierarchy-Aware Domain Disentanglement


Sign Language Transformers (CVPR'20)

Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation

SLTUNET: A Simple Unified Model for Sign Language Translation

Frozen Pretrained Transformers for Neural Sign Language Translation

A Token-level Contrastive Framework for Sign Language Translation


word2vec Google News model

Detection and Resolution of Rumours in Social Media: A Survey

Word2Vec

Hate Speech Detection: A Solved Problem? The Challenging Case of Long Tail on Twitter

All You Need is "Love": Evading Hate-speech Detection

Discourse-aware rumour stance classification in social media using sequential classifiers

Improving Fake News Detection by Using an Entity-enhanced Framework to Fuse Diverse Multimodal Clues

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

Hash Embeddings for Efficient Word Representations

DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media

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

Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion

Word Sense Disambiguation Based on Word Similarity Calculation Using Word Vector Representation from a Knowledge-based Graph

International Conference on Computational Linguistics


INSPIIRED: A Pipeline for Quantitative Analysis of Sites of New DNA Integration in Cellular Genomes

CAR density influences antitumoral efficacy of BCMA CAR T cells and correlates with clinical outcome

Assessment of HIV-1 integration in tissues and subsets across infection stages

Development of an in vitro genotoxicity assay to detect retroviral vector-induced lymphoid insertional mutants


Graph theory analysis of brain MRI data

Large-scale mapping of cortical alterations in 22q11.2 deletion syndrome: Convergence with idiopathic psychosis and effects of deletion size

Rich-club in the brain’s macrostructure: Insights from graph theoretical analysis

Computational and structural biotechnology journal

Graph theory analysis of DTI tractography in children with traumatic injury

Brain Connectivity and Information-Flow Breakdown Revealed by a Minimum Spanning Tree-Based Analysis of MRI Data in Behavioral Variant Frontotemporal Dementia

Identification of key regulators in prostate cancer from gene expression datasets of patients

Mapping brain structural differences and neuroreceptor correlates in Parkinson’s disease visual hallucinations: a mega-analysis

Early-life stress exposure and large-scale covariance brain networks in extremely preterm-born infants

Altered Brain Structural Networks in Patients with Brain Arteriovenous Malformations Located in Broca's Area

Abnormal resting-state functional connectome in methamphetamine-dependent patients and its application in machine-learning-based classification


Learning Deep Representations of Fine-grained Visual Descriptions

Prototypical Networks for Few-shot Learning

Fine-Grained Image Classification via Combining Vision and Language

ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions


User-friendly tool to infer cell-cell interactions and communication from gene expression of interacting proteins

Context-aware deconvolution of cell-cell communication with Tensor-cell2cell

Inferring a spatial code of cell-cell interactions across a whole animal body

CITEdb: a manually curated database of cell–cell interactions in human


ConvNet training using pytorch

Scalable Methods for 8-bit Training of Neural Networks

Norm matters: efficient and accurate normalization schemes in deep networks

Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks

Fix your classifier: the marginal value of training the last weight layer

Untangling the Galaxy. II. Structure within 3 kpc

Untangling the Galaxy. III. Photometric Search for Pre-main-sequence Stars with Deep Learning

Mix & Match: training convnets with mixed image sizes for improved accuracy, speed and scale resiliency

PocketNN: Integer-only Training and Inference of Neural Networks via Direct Feedback Alignment and Pocket Activations in Pure C++

LogAvgExp Provides a Principled and Performant Global Pooling Operator


PyTorch implementation of  two-stream networks for video action recognition

Towards Good Practices for Very Deep Two-Stream ConvNets

Hidden Two-Stream Convolutional Networks for Action Recognition

Deep Temporal Linear Encoding Networks

A Comprehensive Study of Deep Video Action Recognition

Multimodal Object Detection via Probabilistic Ensembling


VQ-VAE for Acoustic Unit Discovery and Voice Conversion

Neural Discrete Representation Learning

Unsupervised speech representation learning using WaveNet autoencoders

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

Vector-quantized neural networks for acoustic unit discovery in the ZeroSpeech 2020 challenge

SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization

Towards unsupervised phone and word segmentation using self-supervised vector-quantized neural networks

Robust universal neural vocoding

Discrete representations in neural models of spoken language


Web application to explore the Sequence Read Archive.

Comprehensive understanding of Tn5 insertion preference improves transcription regulatory element identification

KARAJ: An Efficient Adaptive Multi-Processor Tool to Streamline Genomic and Transcriptomic Sequence Data Acquisition

Effective population size does not explain long-term variation in genome size and transposable element content in animals


This repository provides a reference implementation of struc2vec.

struc2vec: Learning Node Representations from Structural Identity

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

Graph embedding on biomedical networks: methods, applications and evaluations

Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning

Billion-scale Network Embedding with Iterative Random Projection

Scalable Graph Embeddings via Sparse Transpose Proximities

Distance Encoding -- Design Provably More Powerful GNNs for Structural Representation Learning

Seven-Layer Model in Complex Networks Link Prediction: A Survey

Network representation learning systematic review: ancestors and current development state

Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks


A PyTorch implementation of MobileNet V2 architecture and pretrained model.

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Data-Free Quantization Through Weight Equalization and Bias Correction

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

Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification

ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training

GolfDB: A Video Database for Golf Swing Sequencing

FP8 versus INT8 for efficient deep learning inference

Grafted network for person re-identification


Data/Code Repository for https://api.semanticscholar.org/CorpusID:218470122

SciREX: A Challenge Dataset for Document-Level Information Extraction

ToolQA: A Dataset for LLM Question Answering with External Tools

Document-level Entity-based Extraction as Template Generation

CitationIE: Leveraging the Citation Graph for Scientific Information Extraction

Automatic Error Analysis for Document-level Information Extraction

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


Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

Overcoming catastrophic forgetting in neural networks

Learning without Forgetting

iCaRL: Incremental Classifier and Representation Learning

Large Scale Incremental Learning

End-to-End Incremental Learning

Learning a Unified Classifier Incrementally via Rebalancing

Class-incremental learning: survey and performance evaluation on image classification

Learning without Memorizing

Class-incremental Learning via Deep Model Consolidation

IL2M: Class Incremental Learning With Dual Memory

International Conference on Computer Vision


:newspaper: High-performance tool for negation and uncertainty detection in radiology reports

ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

NegBio: a high-performance tool for negation and uncertainty detection in radiology reports

Deep learning in generating radiology reports: A survey

Supervised learning for the detection of negation and of its scope in French and Brazilian Portuguese biomedical corpora

A fast, accurate, and generalisable heuristic-based negation detection algorithm for clinical text

Portée de la négation : détection par apprentissage supervisé en français et portugais brésilien

HAL (Le Centre pour la Communication Scientifique Directe)


CASCADE Server

Cybercompetitions: A survey of competitions, tools, and systems to support cybersecurity education

Cyber Attack and Defense Emulation Agents

ProblemChild: Discovering Anomalous Patterns based on Parent-Child Process Relationships


A BERT-based Chinese Text Encoder Enhanced by N-gram Representations

ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations

Named Entity Recognition for Social Media Texts with Semantic Augmentation

Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information

Summarizing Medical Conversations via Identifying Important Utterances

Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge

Meeting of the Association for Computational Linguistics

Improving Constituency Parsing with Span Attention

Joint Chinese Word Segmentation and Part-of-speech Tagging via Multi-channel Attention of Character N-grams


Portable C implementation of Ed25519, a high-speed high-security public-key signature system.

CURE: A Security Architecture with CUstomizable and Resilient Enclaves

Invited Paper: Secure Boot and Remote Attestation in the Sanctum Processor

IEEE Computer Security Foundations Symposium

Citadel: Enclaves with Strong Microarchitectural Isolation and Secure Shared Memory on a Speculative Out-of-Order Processor


Image processing software for CODEX: driftcompensation, deconvolution, uploading and segmentation

Immune cell topography predicts response to PD-1 blockade in cutaneous T cell lymphoma

Organization of the human intestine at single-cell resolution

Highly multiplexed tissue imaging using repeated oligonucleotide exchange reaction

Combined protein and nucleic acid imaging reveals virus-dependent B cell and macrophage immunosuppression of tissue microenvironments

Computational Methods for Single-Cell Proteomics

Annual review of biomedical data science

T cell-mediated curation and restructuring of tumor tissue coordinates an effective immune response


TSEBRA: Transcript Selector for BRAKER

TSEBRA: transcript selector for BRAKER

Galba: genome annotation with miniprot and AUGUSTUS

bioRxiv : the preprint server for biology

Y-Linked Copy Number Polymorphism of Target of Rapamycin Is Associated with Sexual Size Dimorphism in Seed Beetles

The genome of the Arctic snow-alga Limnomonas spitsbergensis (Chlamydomonadales)

Zenodo (CERN European Organization for Nuclear Research)

Navigating Eukaryotic Genome Annotation Pipelines: A Route Map to
  BRAKER, Galba, and TSEBRA


Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

Thoughts on Massively Scalable Gaussian Processes

Learning Scalable Deep Kernels with Recurrent Structure

Deep recurrent Gaussian process with variational Sparse Spectrum approximation


Framework to imitate writing styles using deep learning

Densely Connected Convolutional Networks

WaveNet: A Generative Model for Raw Audio

Convolutional Sequence to Sequence Learning

One weird trick for parallelizing convolutional neural networks


Evaluating Weakly Supervised Object Localization Methods Right (CVPR 2020)

Unveiling the Potential of Structure Preserving for Weakly Supervised Object Localization

Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization

Object-aware Contrastive Learning for Debiased Scene Representation

Normalization Matters in Weakly Supervised Object Localization

Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets

Evolving Image Compositions for Feature Representation Learning

Open-World Weakly-Supervised Object Localization

BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised Applications

ContextMix: A context-aware data augmentation method for industrial visual inspection systems

Engineering applications of artificial intelligence


Library with search algorithms for task and path planning for multi robot/agent systems

Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning

X*: Anytime Multi-Agent Path Finding for Sparse Domains using Window-Based Iterative Repairs

Shadoks Approach to Low-Makespan Coordinated Motion Planning

Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality

DMAPF: A Decentralized and Distributed Solver for Multi-Agent Path Finding Problem with Obstacles


Random Network Distillation pytorch

Proximal Policy Optimization Algorithms

Exploration by Random Network Distillation

Efficient Parallel Methods for Deep Reinforcement Learning

Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient

Explore and Control with Adversarial Surprise

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

Intrinsic Motivation via Surprise Memory


A neural word aligner based on multilingual BERT

Word Alignment by Fine-tuning Embeddings on Parallel Corpora

Frustratingly Easy Label Projection for Cross-lingual Transfer

Improving Translation Faithfulness of Large Language Models via Augmenting Instructions

Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction

Deliberate then Generate: Enhanced Prompting Framework for Text Generation

Adapting Offline Speech Translation Models for Streaming with Future-Aware Distillation and Inference

Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment

Learning Contextualised Cross-lingual Word Embeddings and Alignments for Extremely Low-Resource Languages Using Parallel Corpora

Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding

EVALIGN: Visual Evaluation of Translation Alignment Models

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


Hydrodynamic coefficients viewer and converter for Boundary Element Method solver formats


Public Health England SNP calling pipeline.

Evolution of Streptococcus pneumoniae Serotype 3 in England and Wales: A Major Vaccine Evader

Evaluation of SNP calling methods for closely related bacterial isolates and a novel high-accuracy pipeline: BactSNP

Dynamic Transmission of Staphylococcus Aureus in the Intensive Care Unit

International journal of environmental research and public health

Genetic diversity and delineation of Salmonella Agona outbreak strains by next generation sequencing, Bavaria, Germany, 1993 to 2018

Sources of Multidrug Resistance in Patients With Previous Isoniazid-Resistant Tuberculosis Identified Using Whole Genome Sequencing: A Longitudinal Cohort Study

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

Whole-Genome Sequencing-Based Antimicrobial Resistance Characterization and Phylogenomic Investigation of 19 Multidrug-Resistant and Extended-Spectrum Beta-Lactamase-Positive Escherichia coli Strains Collected From Hospital Patients in Benin in 2019

Genomic Comparison of Salmonella Enteritidis Strains Isolated from Laying Hens and Humans in the Abruzzi Region during 2018

Phylogenomic Investigation of Increasing Fluoroquinolone Resistance among Belgian Cases of Shigellosis between 2013 and 2018 Indicates Both Travel-Related Imports and Domestic Circulation

Targeted sequencing from cerebrospinal fluid for rapid identification of drug-resistant tuberculous meningitis

Whole-Genome Sequencing-Based Screening of MRSA in Patients and Healthcare Workers in Public Hospitals in Benin


SIMD partial order alignment tool/library

Fast and accurate de novo genome assembly from long uncorrected reads

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

HASLR: Fast Hybrid Assembly of Long Reads

Efficient de novo assembly of eleven human genomes using PromethION sequencing and a novel nanopore toolkit

MinION-Based DNA Barcoding of Preserved and Non-Invasively Collected Wildlife Samples

High-sensitive spatially resolved T cell receptor sequencing with SPTCR-seq

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

LJA: Assembling Long and Accurate Reads Using Multiplex de Bruijn Graphs


Clustering through Imputation and Dimensionality Reduction

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

CIDR: Ultrafast and accurate clustering through imputation for single-cell RNA-seq data

Fast and precise single-cell data analysis using a hierarchical autoencoder

Self-supervised contrastive learning for integrative single cell RNA-seq data analysis

Deep Learning in Single-Cell Analysis

Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning

scEFSC: Accurate single-cell RNA-seq data analysis via ensemble consensus clustering based on multiple feature selections

Fast and precise single-cell data analysis using hierarchical autoencoder

Imputation Methods for scRNA Sequencing Data


Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Improved Training of Wasserstein GANs

Wasserstein GAN

A Note on the Inception Score

Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art

Enhancing Mechanical Metamodels With a Generative Model-Based Augmented Training Dataset

TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization

MaWGAN: A Generative Adversarial Network to Create Synthetic Data from Datasets with Missing Data


De novo spatial reconstruction of single-cell gene expression.

Charting human development using a multi-endodermal organ atlas and organoid models

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

Computational methods for the integrative analysis of single-cell data

Spatio-temporal, optogenetic control of gene expression in organoids

An organoid and multi-organ developmental cell atlas reveals multilineage fate specification in the human intestine

SpaDiT: Diffusion Transformer for Spatial Gene Expression Prediction using scRNA-seq


python Circos

A panoramic view of the genomic landscape of the genus Streptomyces

Analysis of Genome-Wide Mutational Dependence in Naturally Evolving Mycobacterium tuberculosis Populations

A Category of Genes


Package for direction dependent calibration

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

Disk–Jet Coupling in the 2017/2018 Outburst of the Galactic Black Hole Candidate X-Ray Binary MAXI J1535–571

CUBICAL - fast radio interferometric calibration suite exploiting complex optimization

Monthly Notices of the Royal Astronomical Society

MKT J170456.2-482100: the first transient discovered by MeerKAT

Convolutional deep denoising autoencoders for radio astronomical images

The twisted jets of Circinus X-1

Monthly notices of the Royal Astronomical Society

Spectropolarimetry and photometry of the early afterglow of the gamma-ray burst GRB 191221B

MERGHERS pilot: MeerKAT discovery of diffuse emission in nine massive Sunyaev-Zel'dovich-selected galaxy clusters from ACT

The LOFAR LBA Sky Survey: Deep Fields I. The Boötes Field

LOFAR detection of a low-power radio halo in the galaxy cluster Abell 990


Visualise Clusterings at Different Resolutions

Clustering trees: a visualization for evaluating clusterings at multiple resolutions

Brainstem ADCYAP1+ neurons control multiple aspects of sickness behaviour

Commensal microbiota divergently affect myeloid subsets in the mammalian central nervous system during homeostasis and disease

Trimodal single-cell profiling reveals a novel pediatric CD8αα+ T cell subset and broad age-related molecular reprogramming across the T cell compartment

ezSingleCell: an integrated one-stop single-cell and spatial omics analysis platform for bench scientists

Functional Pdgfra fibroblast heterogeneity in normal and fibrotic mouse lung


Rigorous Global Branch-and-Bound Optimizer

Sound Mixed-Precision Optimization with Rewriting

On Sound Relative Error Bounds for Floating-Point Arithmetic

An Interval Arithmetic for Robust Error Estimation


Doodler. A web application built with plotly/dash for image segmentation with minimal supervision. Plays nicely with segmentation gym, https://github.com/Doodleverse/segmentation_gym

Human-in-the-Loop Segmentation of Earth Surface Imagery

A 1.2 Billion Pixel Human-Labeled Dataset for Data-Driven Classification of Coastal Environments


A python library that implements a number of Privacy Enhancing Technolgies

Chainspace: A Sharded Smart Contracts Platform

Coconut: Threshold Issuance Selective Disclosure Credentials with Applications to Distributed Ledgers

Efficient Private Statistics with Succinct Sketches

VoteAgain: A scalable coercion-resistant voting system

Might I Get Pwned: A Second Generation Compromised Credential Checking Service

ClaimChain: Improving the Security and Privacy of In-band Key Distribution for Messaging

Workshop on Privacy in the Electronic Society

AStERISK: Auction-based Shared Economy ResolutIon Markets for Blockchain Platforms

Aggregate Signatures with Versatile Randomization and Issuer-Hiding Multi-Authority Anonymous Credentials

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security

zksk: A Library for Composable Zero-Knowledge Proofs

DatashareNetwork: A Decentralized Privacy-Preserving Search Engine for Investigative Journalists


Ground heat transfer calculation tool


A Hearthstone: Heroes of WarCraft Simulator for the purposes of Machine Learning and Data Mining

Latent Predictor Networks for Code Generation

Embedding API dependency graph for neural code generation

CodeGen-Test: An Automatic Code Generation Model Integrating Program Test Information

Mastering Strategy Card Game (Hearthstone) with Improved Techniques


The PYthoN General UnIt Test geNerator is a test-generation tool for Python

Automated Unit Test Generation for Python

Symposium on Search Based Software Engineering

An empirical study of automated unit test generation for Python

An annotation-based approach for finding bugs in neural network programs


Thermodynamics and Phase Equilibrium component of Chemical Engineering Design Library (ChEDL)

A smile is all you need: Predicting limiting activity coefficients from SMILES with natural language processing

Clapeyron.jl: An Extensible, Open-Source Fluid Thermodynamics Toolkit

Tidal pull of the Earth strips the proto-Moon of its volatiles

Potentials and challenges of polymer informatics: exploiting machine learning for polymer design

Materials Discovery using Max K-Armed Bandit

PUFFIN: A Path-Unifying Feed-Forward Interfaced Network for Vapor Pressure Prediction

Yamdb: easily accessible thermophysical properties of liquid metals and
  molten salts


Weak lensing fast simulations and analysis of blended objects.

The LSST Dark Energy Science Collaboration (DESC) Science Requirements Document

Mitigating Shear-dependent Object Detection Biases with Metacalibration

Cosmology with the Roman Space Telescope: synergies with the Rubin Observatory Legacy Survey of Space and Time

Effects of overlapping sources on cosmic shear estimation: Statistical sensitivity and pixel-noise bias

Journal of Cosmology and Astroparticle Physics

Metadetection Weak Lensing for the Vera C. Rubin Observatory

Intrinsic alignment from multiple shear estimates: A first application to data and forecasts for Stage IV

A Differentiable Perturbation-based Weak Lensing Shear Estimator


Alpaca dataset from Stanford, cleaned and curated

NExT-GPT: Any-to-Any Multimodal LLM

AlpaGasus: Training A Better Alpaca with Fewer Data

From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning

Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs
  against Jailbreak Attacks

Clustering and Ranking: Diversity-preserved Instruction Selection
  through Expert-aligned Quality Estimation

CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction Tuning

Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer

No Two Devils Alike: Unveiling Distinct Mechanisms of Fine-tuning Attacks

Instruction Fine-Tuning: Does Prompt Loss Matter?

Smaller Language Models are capable of selecting Instruction-Tuning
  Training Data for Larger Language Models


A Japanese NLP Library using spaCy as framework based on Universal Dependencies

Phrase break prediction with bidirectional encoder representations in Japanese text-to-speech synthesis

Transformer-based Lexically Constrained Headline Generation

Summarizing Utterances from Japanese Assembly Minutes using Political Sentence-BERT-based Method for QA Lab-PoliInfo-2 Task of NTCIR-15

KWJA: A Unified Japanese Analyzer Based on Foundation Models

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)

JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its Applications

Arukikata Travelogue Dataset with Geographic Entity Mention, Coreference, and Link Annotation


JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.

OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research

SafeDreamer: Safe Reinforcement Learning with World Models

Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation

Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning

A Survey of Constraint Formulations in Safe Reinforcement Learning

Reduced Policy Optimization for Continuous Control with Hard Constraints

Off-Policy Primal-Dual Safe Reinforcement Learning


QIIME 2 plugin wrapping DADA2

Rhizosphere Bacterial Community Response to Continuous Cropping of Tibetan Barley

Insights into the gut microbiota of Nigerian elderly with type 2 diabetes and non-diabetic elderly persons

Reproducible acquisition, management and meta-analysis of nucleotide sequence (meta)data using q2-fondue

Impacts of Continuous Cropping on Fungal Communities in the Rhizosphere Soil of Tibetan Barley

Monthly dynamics of microbial communities and variation of nitrogen-cycling genes in an industrial-scale expanded granular sludge bed reactor

Impacts of Managed Vegetation Restoration on Arbuscular Mycorrhizal Fungi and Diazotrophs in Karst Ecosystems


Scalable Image Analysis and Shape Modelling

Gaussian Process Morphable Models

AirLab: Autograd Image Registration Laboratory

A Closest Point Proposal for MCMC-based Probabilistic Surface Registration

Bone Surface Reconstruction and Clinical Features Estimation from Sparse Landmarks and Statistical Shape Models: A feasibility study on the femur

Developing Patient-Specific Statistical Reconstructions of Healthy Anatomical Structures to Improve Patient Outcomes

Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators

Automatic Modelling of Human Musculoskeletal Ligaments -- Framework Overview and Model Quality Evaluation


Framework for Operational Radiometric Correction for Environmental monitoring

Operational Coregistration of the Sentinel-2A/B Image Archive Using Multitemporal Landsat Spectral Averages

IEEE Geoscience and Remote Sensing Letters

Revisiting the Past: Replicability of a Historic Long-Term Vegetation Dynamics Assessment in the Era of Big Data Analytics

A qualitative assessment of using ChatGPT as large language model for scientific workflow development

Multispectral analysis-ready satellite data for three East African mountain ecosystems

A Sentinel-2 Dataset for Uganda

International Conference on Data Technologies and Applications


The devkit of the nuScenes dataset.

nuScenes: A multimodal dataset for autonomous driving

CoverNet: Multimodal Behavior Prediction using Trajectory Sets

Panoptic Nuscenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking

Geometry-based Distance Decomposition for Monocular 3D Object Detection

Rethinking Range View Representation for LiDAR Segmentation

LaserMix for Semi-Supervised LiDAR Semantic Segmentation

Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object Tracking With Camera-LiDAR Fusion

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions


⚡FlashRAG: A Python Toolkit for Efficient RAG Research

REPLUG: Retrieval-Augmented Black-Box Language Models

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions

Active Retrieval Augmented Generation

Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Making Retrieval-Augmented Language Models Robust to Irrelevant Context

LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation

Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity

Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In


Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning

"Other-Play" for Zero-Shot Coordination

Improving Policies via Search in Cooperative Partially Observable Games

Off-Belief Learning

Generalized Beliefs for Cooperative AI


Heterogeneous Information Network Datasets for Recommendation and Network Embedding

Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning

Socially-Aware Self-Supervised Tri-Training for Recommendation

DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks

Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-N Recommendation

Counterfactual Explanation for Fairness in Recommendation

Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation

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

GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation

Pacific-Asia Conference on Knowledge Discovery and Data Mining


LaFIn: Generative Landmark Guided Face Inpainting

Image Inpainting for Irregular Holes Using Partial Convolutions


Global analysis platform for fluorescence data

FRET-based dynamic structural biology: Challenges, perspectives and an appeal for open-science practices

Integrative structural dynamics probing of the conformational heterogeneity in synaptosomal-associated protein 25

Integrative dynamic structural biology unveils conformers essential for the oligomerization of a large GTPase

FRET nanoscopy enables seamless imaging of molecular assemblies with sub-nanometer resolution

Coevolution and smFRET Enhances Conformation Sampling and FRET Experimental Design in Tandem PDZ1–2 Proteins


What Does BERT Look At? An Analysis of BERT's Attention

Emergent linguistic structure in artificial neural networks trained by self-supervision

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

Attention is Not Only a Weight: Analyzing Transformers with Vector Norms

Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps


A parallel-tempered version of emcee.

Dynamic temperature selection for parallel tempering in Markov chain Monte Carlo simulations

Multisystem Bayesian constraints on the transport coefficients of QCD matter

Radial Velocity Measurements of HR 8799 b and c with Medium Resolution Spectroscopy

Deep Exploration of the Planets HR 8799 b, c, and d with Moderate-resolution Spectroscopy

The COS Absorption Survey of Baryon Harbors: unveiling the physical conditions of circumgalactic gas through multiphase Bayesian ionization modelling

Bayesian quantification of strongly interacting matter with color glass condensate initial conditions

GRAVITY K-band spectroscopy of HD 206893 B: brown dwarf or exoplanet

Bayesian calibration of viscous anisotropic hydrodynamic simulations of heavy-ion collisions

VVV-WIT-08: the giant star that blinked

Implications of Grain Size Distribution and Composition for the Correlation between Dust Extinction and Emissivity


Aligning pretrained language models with instruction data generated by themselves.

Self-Instruct: Aligning Language Models with Self-Generated Instructions

Instruction Tuning with GPT-4

Instruction Tuning for Large Language Models: A Survey

Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision

AlpaGasus: Training A Better Alpaca with Fewer Data

Understanding LLMs: A Comprehensive Overview from Training to Inference

Camoscio: an Italian Instruction-tuned LLaMA

MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-Following

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs


Universal adversarial perturbations

Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks

Proceedings 2018 Network and Distributed System Security Symposium

Art of singular vectors and universal adversarial perturbations


k-SLAM ultra fast alignment and taxonomic classification of metagenomic datasets

A Metagenomic Approach to Cyanobacterial Genomics

k-SLAM: accurate and ultra-fast taxonomic classification and gene identification for large metagenomic data sets

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


An extractive neural network text summarization library for the EMNLP 2018 paper "Content Selection in Deep Learning Models of Summarization" (https://arxiv.org/abs/1810.12343).

SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents

Extractive Summarization of Long Documents by Combining Global and Local Context

Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization

Pre-training and Evaluating Transformer-based Language Models for Icelandic

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Summarization Beyond News: The Automatically Acquired Fandom Corpora

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

IceSum: An Icelandic Text Summarization Corpus

North American Chapter of the Association for Computational Linguistics


Collection of public available person re-identification datasets

Deep Learning for Person Re-identification: A Survey and Outlook

Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch

Dual Branch Attention Network for Person Re-Identification


[CVPR 2022] StyleSwin: Transformer-based GAN for High-resolution Image Generation

Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review

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

On Measuring Fairness in Generative Models


Conditional BERT Contextual Augmentation

Data Augmentation using Pre-trained Transformer Models

PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks

Feature-aware conditional GAN for category text generation

Effective Data Augmentation for Sentence Classification Using One VAE per Class

International Conference on Computational Linguistics


CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Debiased Contrastive Learning

SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation

Masked Contrastive Representation Learning for Reinforcement Learning

PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning

Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning

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

Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings

Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning

CURL: Contrastive Unsupervised Representation Learning for Reinforcement Learning

International Conference on Machine Learning


Kernel Density Estimation and (re)sampling

Gravitational self-lensing in populations of massive black hole binaries

Monthly Notices of the Royal Astronomical Society

Basic considerations for the observability of kinematically offset binary AGN

Zenodo (CERN European Organization for Nuclear Research)

Mass Ratios of Merging Double Neutron Stars as Implied by the Milky Way Population

The optical properties of three Type II supernovae: 2014cx, 2014cy, and 2015cz


Generic IoT data simulator. Provides possibility to replay datasets or generates data on fly. Supports various IoT platforms out of the box.

IoT Device Integration and Payment via an Autonomic Blockchain-Based Service for IoT Device Sharing

Situation-Aware IoT Data Generation towards Performance Evaluation of IoT Middleware Platforms

Refresh Rate-Based Caching and Prefetching Strategies for Internet of Things Middleware


Sophos-ReversingLabs 20 million sample dataset

SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection

Automatic Malware Description via Attribute Tagging and Similarity Embedding

Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints

Malware Resistant Data Protection in Hyper-connected Networks: A survey


GTEx & TOPMed data production and analysis pipelines

Genetic effects on gene expression across human tissues

Inherited causes of clonal haematopoiesis in 97,691 whole genomes

Transcript expression-aware annotation improves rare variant interpretation

Identification and analysis of splicing quantitative trait loci across multiple tissues in the human genome

A first-generation pediatric cancer dependency map

A vast resource of allelic expression data spanning human tissues

New insights on the genetic etiology of Alzheimer’s and related dementia

Variability in estimated gene expression among commonly used RNA-seq pipelines

DNA methylation clocks for dogs and humans

Thousands of novel unannotated proteins expand the MHC I immunopeptidome in cancer


A deep learning framework for symbolic optimization.

Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients

Symbolic Regression via Neural-Guided Genetic Programming Population Seeding

Language Model Crossover: Variation through Few-Shot Prompting

Interpretable scientific discovery with symbolic regression: a review

SymFormer: End-to-End Symbolic Regression Using Transformer-Based Architecture

Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search

Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery

Improving exploration in policy gradient search: Application to symbolic optimization

Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition

Learning Symbolic Expressions via Gumbel-Max Equation Learner Networks


Open source library for Single Object Tracking in point clouds.

P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds

Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds

Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds

STTracker: Spatio-Temporal Tracker for 3D Single Object Tracking

GLT-T++: Global-Local Transformer for 3D Siamese Tracking with Ranking Loss

An Effective Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds


Russian GPT3 models.

Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations

AraGPT2: Pre-Trained Transformer for Arabic Language Generation

Fine-tuning GPT-3 for Russian Text Summarization

Methods for Detoxification of Texts for the Russian Language

It’s Basically the Same Language Anyway: the Case for a Nordic Language Model

Nordic Conference of Computational Linguistics

Russian Paraphrasers: Paraphrase with Transformers

Workshop on Balto-Slavic Natural Language Processing

TAPE: Assessing Few-shot Russian Language Understanding

Argumentative Text Generation in Economic Domain

Computational Linguistics and Intellectual Technologies

The Only Chance to Understand: Machine Translation of the Severely Endangered Low-resource Languages of Eurasia

HAL (Le Centre pour la Communication Scientifique Directe)

Language Models Application in Sentiment Attitude Extraction Task

Труды Института системного программирования РАН


A set of tools for processing of spatial and temporal disaggregations.


SKA Radio Telescope Simulator

A Simplified, Lossless Reanalysis of PAPER-64

Comparing foreground removal techniques for recovery of the LOFAR-EoR 21 cm power spectrum

Separating the EoR signal with a convolutional denoising autoencoder: a deep-learning-based method

Monthly notices of the Royal Astronomical Society

A Unified Calibration Framework for 21 cm Cosmology

Studying the morphology of reionization with the triangle correlation function of phases

The bispectrum and 21-cm foregrounds during the Epoch of Reionization

Contribution of Radio Halos to the Foreground for SKA EoR Experiments

First look at the multiphase interstellar medium using synthetic observations from low-frequency Faraday tomography

Contribution of Galactic free–free emission to the foreground for EoR signal in SKA experiments

Observing the reionization: effect of calibration and position errors on realistic observation conditions


Simulation of detector networks with Fisher-matrix PE

Perspectives for multimessenger astronomy with the next generation of gravitational-wave detectors and high-energy satellites

gwfish: A simulation software to evaluate parameter-estimation capabilities of gravitational-wave detector networks

Pre-merger alert to detect prompt emission in very-high-energy gamma-rays from binary neutron star mergers: Einstein Telescope and Cherenkov Telescope Array synergy

Classifying binary black holes from Population III stars with the
  Einstein Telescope: a machine-learning approach


Patterns and behaviors for GPU computing

A Memory Bandwidth-Efficient Hybrid Radix Sort on GPUs

SIGMOD'17: PROCEEDINGS OF THE 2017 ACM INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

GPU acceleration of ADMM for large-scale quadratic programming

Journal of Parallel and Distributed Computing

GPU LSM: A Dynamic Dictionary Data Structure for the GPU

MetaCache-GPU: Ultra-Fast Metagenomic Classification

Euler Meets GPU: Practical Graph Algorithms with Theoretical Guarantees


Side-Channel Analysis Library

Breaking Masked Implementations with Many Shares on 32-bit Software Platforms: or When the Security Order Does Not Matter

IACR Transactions on Cryptographic Hardware and Embedded Systems

Improved Leakage-Resistant Authenticated Encryption based on Hardware AES Coprocessors

Rosita++: Automatic Higher-Order Leakage Elimination from Cryptographic Code

Riding the Waves Towards Generic Single-Cycle Masking in Hardware


Transdiagnostic, Connectome-Based Prediction of Memory Constructs Across Psychiatric Disorders

Functional connectivity during frustration: a preliminary study of predictive modeling of irritability in youth

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology

Large-Scale Functional Brain Networks of Maladaptive Childhood Aggression Identified by Connectome-Based Predictive Modeling

Reporting details of neuroimaging studies on individual traits prediction: A literature survey

Predicting response time variability from task and resting-state functional connectivity in the aging brain

Brain connectivity at rest predicts individual differences in normative activity during movie watching

Connectome-based predictive modeling shows sex differences in brain-based predictors of memory performance

An Electroencephalography Profile of Paroxysmal Kinesigenic Dyskinesia

Connectome caricatures: removing large-amplitude co-activation patterns in resting-state fMRI emphasizes individual differences

bioRxiv : the preprint server for biology

A Unified Framework for Inattention Estimation From Resting State Phase Synchrony Using Machine Learning


VerifAI is a software toolkit for the formal design and analysis of systems that include artificial intelligence (AI) and machine learning (ML) components.

Proximal Policy Optimization Algorithms

Counterexample-Guided Data Augmentation

Formal Analysis and Redesign of a Neural Network-Based Aircraft Taxiing System with VerifAI

VERIFAI: A Toolkit for the Design and Analysis of Artificial Intelligence-Based Systems

Ensuring Reliable Robot Task Performance through Probabilistic Rare-Event Verification and Synthesis


Miscellaneous soil data management, summary, visualization, and conversion utilities to support soil survey.


An open-source tool to quantify Solar Photovoltaics (PV) Energy and Mass Flows in the Circular Economy, from a Reliability and Lifetime approach

Compendium of photovoltaic degradation rates

Progress in Photovoltaics: Research and Applications

PV field reliability status—Analysis of 100 000 solar systems

Benchmarking Utility-Scale PV Operational Expenses and Project Lifetimes: Results from a Survey of U.S. Solar Industry Professionals


DDFacet Imaging Project

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

Primary beam effects of radio astronomy antennas - II. Modelling MeerKAT L-band beams

LOFAR observations of the XMM-LSS field

The twisted jets of Circinus X-1

MERGHERS pilot: MeerKAT discovery of diffuse emission in nine massive Sunyaev-Zel'dovich-selected galaxy clusters from ACT

The LOFAR LBA Sky Survey: Deep Fields I. The Boötes Field

LOFAR Deep Fields: probing a broader population of polarized radio galaxies in ELAIS-N1

Mining mini-halos with MeerKAT I. Calibration and imaging

A Multiwavelength Dynamical State Analysis of ACT-CL J0019.6+0336


AGDISTIS - Agnostic Named Entity Disambiguation

Entity Linking Meets Deep Learning: Techniques and Solutions

MAG: A Multilingual, Knowledge-base Agnostic and Deterministic Entity Linking Approach

K-CAP 2017: PROCEEDINGS OF THE KNOWLEDGE CAPTURE CONFERENCE

CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications

Knowledge Graphs for Multilingual Language Translation and Generation


Generalized and Efficient Blackbox Optimization System

OpenBox: A Generalized Black-box Optimization Service

Automated Hyperparameter Optimization Challenge at CIKM 2021 AnalyticCup

OpenBox: A Python Toolkit for Generalized Black-box Optimization


EGo is an open-source SDK that enables you to develop your own confidential apps in the Go programming language.

Confidential Consortium Framework: Secure Multiparty Applications with Confidentiality, Integrity, and High Availability

MISO: Legacy-compatible Privacy-preserving Single Sign-on using Trusted Execution Environments


A damn simple library for building production-ready RESTful web services.

EvoMaster: Evolutionary Multi-context Automated System Test Generation

International Conference on Software Testing, Verification, and Validation

RESTful API Automated Test Case Generation

International Conference on Software Quality, Reliability and Security

Why Developers Refactor Source Code: A Mining-based Study

Synthesizing replacement classes

Proceedings of the ACM on Programming Languages

On the Use of Mutation in Injecting Test Order-Dependency


ZXing ("Zebra Crossing") barcode scanning library for Java, Android

Immunochromatographic Diagnostic Test Analysis Using Google Glass

Security and Privacy of QR Code Applications: A Comprehensive Study, General Guidelines and Solutions

Roaming Service for Electric Vehicle Charging Using Blockchain-Based Digital Identity

Cellular Automata-Based Application for Driver Assistance in Indoor Parking Areas

An End-to-end Method for Producing Scanning-robust Stylized QR Codes

Color Visual Secret Sharing for QR Code with Perfect Module Reconstruction

Ubic: Bridging the gap between digital cryptography and the physical world

Secured Secret Sharing of QR Codes Based on Nonnegative Matrix Factorization and Regularized Super Resolution Convolutional Neural Network

OmniShare: Securely Accessing Encrypted Cloud Storage from Multiple Authorized Devices

EyeSec: A Retrofittable Augmented Reality Tool for Troubleshooting Wireless Sensor Networks in the Field


Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

Recovering Gene Interactions from Single-Cell Data Using Data Diffusion

Comparative Analysis of Single-Cell RNA Sequencing Methods.

A comparison of single-cell trajectory inference methods

An accurate and robust imputation method scImpute for single-cell RNA-seq data

Bias, robustness and scalability in single-cell differential expression analysis

A Single-Cell Transcriptome Atlas of the Aging Drosophila Brain

Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data

Design and computational analysis of single-cell RNA-sequencing experiments

Delineating copy number and clonal substructure in human tumors from single-cell transcriptomes

Interpretable dimensionality reduction of single cell transcriptome data with deep generative models


Spatial-Temporal Graph ODE Neural Network

Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting

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

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

Graph Neural Rough Differential Equations for Traffic Forecasting


Value-Decomposition Multi-Agent Actor-Critics

The StarCraft Multi-Agent Challenge

Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning


Finetuning InstructLLaMA with portuguese data

Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca

Zero-shot cross-lingual transfer in instruction tuning of large language
  model

Impact of Tokenization on LLaMa Russian Adaptation


https://arxiv.org/abs/2104.02246  One Thing One Click (CVPR 2021)        https://arxiv.org/abs/2303.14727   One Thing One Click++ (Arxiv)

One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation

SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds

You Only Need One Thing One Click: Self-Training for Weakly Supervised 3D Scene Understanding


Official Jax Implementation of MaskGIT

MaskGIT: Masked Generative Image Transformer

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

A Pytorch Reproduction of Masked Generative Image Transformer

Learning Disentangled Prompts for Compositional Image Synthesis

Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers

RIGID: A Training-free and Model-Agnostic Framework for Robust
  AI-Generated Image Detection


Filter SAM file for soft and hard clipped alignments

Bactopia: a flexible pipeline for complete analysis of bacterial genomes

Genomic diversity affects the accuracy of bacterial single-nucleotide polymorphism–calling pipelines

Nanopore sequencing of RNA and cDNA molecules in Escherichia coli

Remdesivir-induced emergence of SARS-CoV2 variants in patients with prolonged infection

Dental Calculus as a Tool to Study the Evolution of the Mammalian Oral Microbiome

A single unidirectional piRNA cluster similar to the flamenco locus is the major source of EVE-derived transcription and small RNAs in Aedes aegypti mosquitoes

Cereulide Synthetase Acquisition and Loss Events within the Evolutionary History of Group III Bacillus cereus Sensu Lato Facilitate the Transition between Emetic and Diarrheal Foodborne Pathogens

Ecological Divergence Within the Enterobacterial Genus Sodalis: From Insect Symbionts to Inhabitants of Decomposing Deadwood

Bodo saltans (Kinetoplastida) is dependent on a novel Paracaedibacter-like endosymbiont that possesses multiple putative toxin-antitoxin systems

Comparison of metagenomic and targeted methods for sequencing human pathogenic viruses from wastewater


Exploring CNN and ViT for Semi-Supervised Medical Image Segmentation

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

Dual-Contrastive Dual-Consistency Dual-Transformer: A Semi-Supervised Approach to Medical Image Segmentation

2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

Triple-View Feature Learning for Medical Image Segmentation

Exigent Examiner and Mean Teacher: An Advanced 3D CNN-Based Semi-Supervised Brain Tumor Segmentation Framework

Medical Image Learning with Limited and Noisy Data


Implementation for paper: Causal Intervention for Weakly-Supervised Semantic Segmentation

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations


Artefact for "CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair."

CoCoNuT: combining context-aware neural translation models using ensemble for program repair

International Symposium on Software Testing and Analysis

A Survey of Learning-based Automated Program Repair

CIRCLE: Continual Repair across Programming Languages

A Survey on Automated Program Repair Techniques

The Inversive Relationship Between Bugs and Patches: An Empirical Study


Implementation of DeepDB: Learn from Data, not from Queries!

Are We Ready For Learned Cardinality Estimation?

Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation

FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation

A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation

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

FactorJoin: A New Cardinality Estimation Framework for Join Queries


ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)

Deeper Depth Prediction with Fully Convolutional Residual Networks

Fast Robust Monocular Depth Estimation for Obstacle Detection with Fully Convolutional Networks

Parse Geometry from a Line: Monocular Depth Estimation with Partial Laser Observation

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

The Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual Residuals


Code for One-shot Relational Learning for Knowledge Graphs (EMNLP18)

One-Shot Relational Learning for Knowledge Graphs

Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion

Cognitive Knowledge Graph Reasoning for One-shot Relational Learning

Data Augmentation for Few-Shot Knowledge Graph Completion from Hierarchical Perspective

International Conference on Computational Linguistics

A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge

Learning Relation-Specific Representations for Few-shot Knowledge Graph Completion

RelBERT: Embedding Relations with Language Models


SCOPS: Self-Supervised Co-Part Segmentation (CVPR'19)

Motion-supervised Co-Part Segmentation

Unsupervised Part Segmentation through Disentangling Appearance and Shape


VirFinder: a novel k-mer based tool for identifying viral sequences from assembled metagenomic data

VirSorter2: a multi-classifier, expert-guided approach to detect diverse DNA and RNA viruses

Review article: the human intestinal virome in health and disease

Application of Machine Learning in Microbiology

Human Virome and Disease: High-Throughput Sequencing for Virus Discovery, Identification of Phage-Bacteria Dysbiosis and Development of Therapeutic Approaches with Emphasis on the Human Gut

Machine Learning Advances in Microbiology: A Review of Methods and Applications

Bioinformatic approaches for studying the microbiome of fermented food

VIRify: An integrated detection, annotation and taxonomic classification pipeline using virus-specific protein profile hidden Markov models

Seasonal Regime Shift in the Viral Communities of a Permafrost Thaw Lake

Current trends in RNA virus detection through metatranscriptome sequencing data


A unified framework for event-based video. Encoder/transcoder/decoder for ADΔER (Address, Decimation, Δt Event Representation) video streams.

An Asynchronous Intensity Representation for Framed and Event Video Sources

Accelerated Event-Based Feature Detection and Compression for Surveillance Video Systems


Whole genome variants across 57 pig breeds enable comprehensive identification of genetic signatures that underlie breed features

Multigenic resistance to Xylella fastidiosa in wild grapes (Vitis sps.) and its implications within a changing climate

Insight into the Possible Formation Mechanism of the Intersex Phenotype of Lanzhou Fat-Tailed Sheep Using Whole-Genome Resequencing

Animals : an open access journal from MDPI

InDel and CNV within the AKAP13 Gene Revealing Strong Associations with Growth Traits in Goat


Command-line tool for the visualization of splicing events across multiple samples

ggsashimi: Sashimi plot revised for browser- and annotation-independent splicing visualization

The whole blood transcriptional regulation landscape in 465 COVID-19 infected samples from Japan COVID-19 Task Force

Genome-wide identification of tandem repeats associated with splicing variation across 49 tissues in humans

Nopp140-chaperoned 2′-O-methylation of small nuclear RNAs in Cajal bodies ensures splicing fidelity

Alternative splicing in lung influences COVID-19 severity and respiratory diseases


Official implementation of VQMIVC: One-shot (any-to-any) Voice Conversion @ Interspeech 2021 + Online playing demo!

VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversion

Voice Conversion With Just Nearest Neighbors

StyleTTS-VC: One-Shot Voice Conversion by Knowledge Transfer from Style-Based TTS Models

StreamVC: Real-Time Low-Latency Voice Conversion

Phoneme Hallucinator: One-shot Voice Conversion via Set Expansion

DualVC 3: Leveraging Language Model Generated Pseudo Context for End-to-end Low Latency Streaming Voice Conversion


Really Fast End-to-End Jax RL Implementations

Discovered Policy Optimisation

Model-Free Opponent Shaping

Adversarial Cheap Talk

Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning


Standard Nomenclature for PV Systems


Convert between AnnData and SingleCellExperiment

Benchmarking atlas-level data integration in single-cell genomics

A transcriptional cross species map of pancreatic islet cells

Synaptotagmin 13 orchestrates pancreatic endocrine cell egression and islet morphogenesis

CD32 captures committed haemogenic endothelial cells during human embryonic development


A novel embedding training algorithm leveraging ANN search and achieved SOTA retrieval on Trec DL 2019 and OpenQA benchmarks

Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval

Few-Shot Conversational Dense Retrieval

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

Adversarial Retriever-Ranker for dense text retrieval

A Neural Corpus Indexer for Document Retrieval

Simplified Data Wrangling with ir_datasets

Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations

HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware Transformer Reranking

More Robust Dense Retrieval with Contrastive Dual Learning

Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study


Generate synthetic data that simulate a given dataset.

On the Utility of Synthetic Data: An Empirical Evaluation on Machine Learning Tasks

Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data

Comparative Study of Differentially Private Synthetic Data Algorithms from the NIST PSCR Differential Privacy Synthetic Data Challenge

Introducing the Monitoring Equipment Mask Environment

Differentially private data release via statistical election to partition sequentially

Mitigating Statistical Bias within Differentially Private Synthetic Data

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

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

A Latent Class Modeling Approach for Generating Synthetic Data and Making Posterior Inferences from Differentially Private Counts


Instruction Tuning with GPT-4

A General Language Assistant as a Laboratory for Alignment

Instruction Tuning with GPT-4

Instruction Tuning for Large Language Models: A Survey

TrustLLM: Trustworthiness in Large Language Models

On the Exploitability of Instruction Tuning

DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation

MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-Following

ESRL: Efficient Sampling-based Reinforcement Learning for Sequence Generation

Aurora:Activating Chinese chat capability for Mixtral-8x7B sparse Mixture-of-Experts through Instruction-Tuning


Source code for EPA’s annual air trends report on air quality, emissions and visibility trends.


The FlexFringe tool for flexible learning of state machines (deterministic automata) from traces. See the paper at https://arxiv.org/abs/2203.16331

FlexFringe: Modeling Software Behavior by Learning Probabilistic Automata

Learning Task Automata for Reinforcement Learning using Hidden Markov Models

Learning state machines via efficient hashing of future traces

Timed Partial Order Inference Algorithm


LibRadar - A detecting tool for 3rd-party libraries in Android apps.

Beyond Google Play: A Large-Scale Comparative Study of Chinese Android App Markets

FraudDroid: Automated Ad Fraud Detection for Android Apps

Study on the Vulnerabilities of Free and Paid Mobile Apps Associated with Software Library

IEICE Transactions on Information and Systems

A Study on the Vulnerabilities of Mobiles Apps associated with Software Modules

A Study on the Vulnerabilities of Mobile Apps associated with Software Modules

Unraveling the Key of Machine Learning Solutions for Android Malware
  Detection


Python package for the creation, manipulation, and learning of Causal DAGs

Differentiable Causal Discovery from Interventional Data

Consistency Guarantees for Greedy Permutation-Based Causal Inference Algorithms

Efficient Neural Causal Discovery without Acyclicity Constraints

Amortized Inference for Causal Structure Learning

Large-Scale Differentiable Causal Discovery of Factor Graphs

Matching a Desired Causal State via Shift Interventions

Active learning for optimal intervention design in causal models

BaCaDI: Bayesian Causal Discovery with Unknown Interventions

Causal inference in drug discovery and development

Applying causal discovery to single-cell analyses using CausalCell


A wrapper around Cutadapt and FastQC to consistently apply adapter and quality trimming to FastQ files, with extra functionality for RRBS data

Metformin Restores CNS Remyelination Capacity by Rejuvenating Aged Stem Cells

Targeted isolation and cultivation of uncultivated bacteria by reverse genomics

Remodeling of epigenome and transcriptome landscapes with aging in mice reveals widespread induction of inflammatory responses

Pan-arthropod analysis reveals somatic piRNAs as an ancestral defence against transposable elements

A blood atlas of COVID-19 defines hallmarks of disease severity and specificity

The Implication of Early Chromatin Changes in X Chromosome Inactivation

Genomic surveillance for hypervirulence and multi-drug resistance in invasive Klebsiella pneumoniae from South and Southeast Asia

Characterization of antimicrobial-resistant Gram-negative bacteria that cause neonatal sepsis in seven low- and middle-income countries

ReMap 2022: a database of Human, Mouse, Drosophila and Arabidopsis regulatory regions from an integrative analysis of DNA-binding sequencing experiments

Zenodo (CERN European Organization for Nuclear Research)

Viable bacterial colonization is highly limited in the human intestine in utero


Official Pytorch repository for Extreme Compression of Large Language Models via Additive Quantization https://arxiv.org/pdf/2401.06118.pdf and PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression https://arxiv.org/abs/2405.14852


Fast Gene Set Enrichment Analysis

Signature of long-lived memory CD8+ T cells in acute SARS-CoV-2 infection

Metagenome-wide association study revealed disease-specific landscape of the gut microbiome of systemic lupus erythematosus in Japanese

Inhibition of Notch signaling rescues cardiovascular development in Kabuki Syndrome

Adenylosuccinate lyase is oncogenic in colorectal cancer by causing mitochondrial dysfunction and independent activation of NRF2 and mTOR-MYC-axis

Favorable immune checkpoint inhibitor outcome of patients with melanoma and NSCLC harboring FAT1 mutations

Helminth-induced reprogramming of the stem cell compartment inhibits type 2 immunity

Single-cell gene set enrichment analysis and transfer learning for functional annotation of scRNA-seq data

Recommendations of scRNA-seq Differential Gene Expression Analysis Based on Comprehensive Benchmarking

Metabolic modeling of single bronchoalveolar macrophages reveals regulators of hyperinflammation in COVID-19

Immunological and clinical immunotherapy implications of NLRP3 mutations in melanoma


license

Spatially Explicit Soil Compaction Risk Assessment of Arable Soils at Regional Scale: The SaSCiA-Model

Temporal Sensitivity Analysis of the MONICA Model: Application of Two Global Approaches to Analyze the Dynamics of Parameter Sensitivity


RobotDART: a versatile robot simulator for robotics and machine learning researchers

Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy Search

Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity

Hierarchical quality-diversity for online damage recovery

Proceedings of the Genetic and Evolutionary Computation Conference

First Do Not Fall: Learning to Exploit a Wall With a Damaged Humanoid Robot

Robot Design With Neural Networks, MILP Solvers and Active Learning


Additional themes, scales, and geoms for ggplot2

Virome Sequencing of the Human Intestinal Mucosal–Luminal Interface

Frontiers in cellular and infection microbiology

Characterization and Tissue Tropism of Newly Identified Iflavirus and Negeviruses in Glossina morsitans morsitans Tsetse Flies

Fat body phospholipid state dictates hunger-driven feeding behavior

Training machine learning algorithms for automatic facial coding: The role of emotional facial expressions’ prototypicality

Mutational signatures representative transcriptomic perturbations in hepatocellular carcinoma


采用MegEngine实现的各种主流深度学习模型

Deep Residual Learning for Image Recognition

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Focal Loss for Dense Object Detection

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

FCOS: Fully Convolutional One-Stage Object Detection

ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design

Simple Baselines for Human Pose Estimation and Tracking

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection

FreeAnchor: Learning to Match Anchors for Visual Object Detection


An enterprise-grade Java-based, Apache 2.0 licensed Ethereum client

Atomic Crosschain Transactions for Ethereum Private Sidechains

IBFT 2.0: A Safe and Live Variation of the IBFT Blockchain Consensus Protocol for Eventually Synchronous Networks

The merits of using Ethereum MainNet as a Coordination Blockchain for Ethereum Private Sidechains

Anonymous State Pinning for Private Blockchains


Pilot program for CVE submission through GitHub. CVE Record Submission via Pilot PRs ending 6/30/2023

RelExt: Relation Extraction using Deep Learning approaches for Cybersecurity Knowledge Graph Improvement

Creating Cybersecurity Knowledge Graphs From Malware After Action Reports

Automated Mapping of CVE Vulnerability Records to MITRE CWE Weaknesses

On the Effectiveness of Clone Detection for Detecting IoT-related Vulnerable Clones


PyTorch Face Recognizer based on 'VGGFace2: A dataset for recognising faces across pose and age'

Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

Deep Learning for Face Recognition: Pride or Prejudiced?

M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database

Latent Diffusion Counterfactual Explanations


Yu Tian et al. "CR-GAN: Learning Complete Representations for Multi-view Generation", IJCAI 2018

Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies

SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis


Tracking human population structure through time from whole genome sequences

Insights into Mus musculus Population Structure across Eurasia Revealed by Whole-Genome Analysis

Transcontinental dispersal of Anopheles gambiae occurred from West African origin via serial founder events

The origin of island populations of the African malaria mosquito, Anopheles coluzzii

Whole-genome sequencing analysis of wild house mice (Mus musculus) captured in Madagascar.


One Million Scenes for Autonomous Driving: ONCE Dataset

CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving

Refining the ONCE Benchmark with Hyperparameter Tuning


ICLR 2023, Spikformer: When Spiking Neural Network Meets Transformer

Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket


An ultra-fast tool for identification of SARS-CoV-2 and other microbes from sequencing data. This tool can be used to detect viral infectious diseases, like COVID-19.

A computational toolset for rapid identification of SARS-CoV-2, other viruses and microorganisms from sequencing data

RNA editing increases the nucleotide diversity of SARS-CoV-2 in human host cells

Non-SARS-CoV-2 genome sequences identified in clinical samples from COVID-19 infected patients: Evidence for co-infections

Non-coronavirus Genome Sequences Identified from Metagenomic Analysis of Clinical Samples from COVID-19 Infected Patients: An Evidence for Co-infection


Assembly by Reduced Complexity (ARC)

NOVOPlasty: de novo assembly of organelle genomes from whole genome data

Dietary breadth is positively correlated with venom complexity in cone snails

Wireworm (Coleoptera: Elateridae) genomic analysis reveals putative cryptic species, population structure, and adaptation to pest control

Venomix: a simple bioinformatic pipeline for identifying and characterizing toxin gene candidates from transcriptomic data

Characterization of the complete mitochondrial genome of the invasive tramp ant Cardiocondyla obscurior (Hymenoptera: Formicidae: Myrmicinae)

Complete Mitochondrial Genome Sequence of Bighorn Sheep

The complete mitochondrial genome of Ripeacma umbellata Wang, 2009 (Lepidoptera: Autostichidae)


SuperPoint: Self-Supervised Interest Point Detection and Description

SuperGlue: Learning Feature Matching with Graph Neural Networks

OpenGlue: Open Source Graph Neural Net Based Pipeline for Image Matching


Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations

Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks

Espresso: Efficient Forward Propagation for BCNNs

PocketNN: Integer-only Training and Inference of Neural Networks via Direct Feedback Alignment and Pocket Activations in Pure C++


Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Transform)

Binary and analog variation of synapses between cortical pyramidal neurons

Petascale neural circuit reconstruction: automated methods

Automatic Neuron Type Identification by Neurite Localization in the Drosophila Medulla


ESP32 Smart Solar Charger - the Open Solar Project


Implementation of "Glancing Transformer for Non-Autoregressive Neural Machine Translation"

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond

Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation

DePA: Improving Non-autoregressive Translation with Dependency-Aware Decoder


deep learning, image retrieval, vision and language

Composing Text and Image for Image Retrieval - An Empirical Odyssey

Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models

Text as Neural Operator: Image Manipulation by Text Instruction

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

Training and challenging models for text-guided fashion image retrieval


[ACL'19] [PyTorch] Multimodal Transformer

Multimodal Transformer for Unaligned Multimodal Language Sequences

CMU-MOSEAS: A Multimodal Language Dataset for Spanish, Portuguese, German and French

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

Analyzing Modality Robustness in Multimodal Sentiment Analysis

DialogueTRM: Exploring the Intra- and Inter-Modal Emotional Behaviors in the Conversation

COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition

Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling

Continuous-Time Audiovisual Fusion with Recurrence vs. Attention for In-The-Wild Affect Recognition

StreaMulT: Streaming Multimodal Transformer for Heterogeneous and Arbitrary Long Sequential Data