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

Efficient set-valued prediction in multi-class classification

Probabilistic Label Trees for Extreme Multi-label Classification

Online probabilistic label trees

Propensity-scored Probabilistic Label Trees

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


Trainable algorithm for automatic measurement of voice onset time

The private life of stops: VOT in a real-time corpus of spontaneous Glaswegian

Corpus Phonetics Tutorial

Speech characteristics yield important clues about motor function: Speech variability in individuals at clinical high-risk for psychosis


MPI for Torch

Deep learning with Elastic Averaging SGD

Efficient Training of Convolutional Neural Nets on Large Distributed Systems

Distributed stochastic optimization for deep learning (thesis)


GraphMap - A highly sensitive and accurate mapper for long, error-prone reads http://www.nature.com/ncomms/2016/160415/ncomms11307/full/ncomms11307.html https://www.biorxiv.org/content/10.1101/720458v1

Technology dictates algorithms: Recent developments in read alignment

MasterOfPores: A Workflow for the Analysis of Oxford Nanopore Direct RNA Sequencing Datasets

Graphmap2 - splice-aware RNA-seq mapper for long reads


Your library for dynamic language modeling

Open-Vocabulary Models for Source Code (Extended Abstract)

International Conference on Software Engineering

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

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

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

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

Predictive Mutation Analysis via the Natural Language Channel in Source Code

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

Do People Prefer "Natural" code?

ARIST: An Effective API Argument Recommendation Approach


Software for clustering de novo assembled transcripts and counting overlapping reads

Transcriptomic analysis of crustacean neuropeptide signaling during the moult cycle in the green shore crab, Carcinus maenas

A simple guide to de novo transcriptome assembly and annotation

De novo assembly of Persea americana cv. ‘Hass’ transcriptome during fruit development

Comparative transcriptomic analysis of a wing-dimorphic stonefly reveals candidate wing loss genes

De Novo Transcriptome Sequencing of Rough Lemon Leaves (Citrus jambhiri Lush.) in Response to Plenodomus tracheiphilus Infection

International journal of molecular sciences

De Novo Transcriptome Sequencing in Kiwifruit (Actinidia chinensis var. deliciosa (A Chev) Liang et Ferguson) and Development of Tissue-Specific Transcriptomic Resources

Embryonic gene transcription in the spiny mouse (Acomys cahirinus): an investigtion into the embryonic genome activation

Transcriptional Comparison of New Hybrid Progenies and Clone-Cultivars of Tea (Camellia sinensis L.) Associated to Catechins Content

Transcriptome analysis of lemon leaves ( Citrus limon ) infected by Plenodomus tracheiphilus reveals the effectiveness of Pseudomonas mediterranea in priming the plant response to mal secco disease


LEfSe determines the features (organisms, clades, operational taxonomic units, genes, or functions)     most likely to explain differences between classes by coupling standard tests for statistical significance with additional tests encoding     biological consistency and effect relevance.

Intermittent hypoxia is involved in gut microbial dysbiosis in type 2 diabetes mellitus and obstructive sleep apnea-hypopnea syndrome

Assessment of Changes in the Oral Microbiome That Occur in Dogs with Periodontal Disease

Akkermansia muciniphila Alters Gut Microbiota and Immune System to Improve Cardiovascular Diseases in Murine Model

Ursolic Acid Ameliorates Spinal Cord Injury in Mice by Regulating Gut Microbiota and Metabolic Changes

Mucosal bacterial dysbiosis in patients with nodular lymphoid hyperplasia in the terminal ileum

Xinnaokang improves cecal microbiota and lipid metabolism to target atherosclerosis

Oral Microbiota Profile in a Group of Anti-AChR Antibody–Positive Myasthenia Gravis Patients

Pyruvate: Ferredoxin oxidoreductase is involved in IgA-related microbiota dysbiosis and intestinal inflammation

Development and validation of diagnostic models for immunoglobulin A nephropathy based on gut microbes

Frontiers in cellular and infection microbiology

Akkermansia muciniphila supplementation prevents cognitive impairment in sleep-deprived mice by modulating microglial engulfment of synapses


Formal Verification of Neural Feedback Loops (NFLs)

Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers

Neural Network Verification in Control

Backward Reachability Analysis for Neural Feedback Loops

DRIP: Domain Refinement Iteration With Polytopes for Backward Reachability Analysis of Neural Feedback Loops


Best-fit model selection

ModelTest-NG: a new and scalable tool for the selection of DNA and protein evolutionary models

Differential loss of effector genes in three recently expanded pandemic clonal lineages of the rice blast fungus

Adaptations of Alteromonas sp. 76-1 to Polysaccharide Degradation: A CAZyme Plasmid for Ulvan Degradation and Two Alginolytic Systems

Geography Shapes the Population Genomics of Salmonella enterica Dublin

Colletotrichum shisoi sp. nov., an anthracnose pathogen of Perilla frutescens in Japan: molecular phylogenetic, morphological and genomic evidence

A Recurrent Motif: Diversity and Evolution of ShKT Domain Containing Proteins in the Vampire Snail Cumia reticulata

Population Genomic Analysis of Mycoplasma bovis Elucidates Geographical Variations and Genes associated with Host-Types

An unusual case of bovine anthrax in the canton of Jura, Switzerland in 2017

A parasitic fungus employs mutated eIF4A to survive on rocaglate-synthesizing Aglaia plants

Transmission dynamics of SARS-CoV-2 on the Diamond Princess uncovered using viral genome sequence analysis


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

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

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

Automatic Segmentation and Quantitative Assessment of Stroke Lesions on MR Images

Coupled-Projection Residual Network for MRI Super-Resolution

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


Files for a tutorial to train SegNet for road scenes using the CamVid dataset

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


ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation

Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law

SemEval 2023 Task 6: LegalEval - Understanding Legal Texts

Bringing order into the realm of Transformer-based language models for artificial intelligence and law


dzetsaka : classification plugin for Qgis

Classification of Wetland Vegetation Based on NDVI Time Series from the HLS Dataset

A Deterministic Topographic Wetland Index Based on LiDAR-Derived DEM for Delineating Open-Water Wetlands

Spatio-temporal Index Based on Time Series of Leaf Area Index for Identifying Heavy Metal Stress in Rice under Complex Stressors

International journal of environmental research and public health

Exploring Built-Up Indices and Machine Learning Regressions for Multi-Temporal Building Density Monitoring Based on Landsat Series


[ACL 2021] Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Too https://arxiv.org/abs/2012.12624

Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

Simple Questions Generate Named Entity Recognition Datasets


Usagi is an application to help create mappings between coding systems and the Vocabulary standard concepts.

A curated and standardized adverse drug event resource to accelerate drug safety research

A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data

Electronic phenotyping with APHRODITE and the Observational Health Sciences and Informatics (OHDSI) data network

The natural history of symptomatic COVID-19 during the first wave in Catalonia

Large-scale adverse effects related to treatment evidence standardization (LAERTES): an open scalable system for linking pharmacovigilance evidence sources with clinical data

The natural history of symptomatic COVID-19 in Catalonia, Spain: a multi-state model including 109,367 outpatient diagnoses, 18,019 hospitalisations, and 5,585 COVID-19 deaths among 5,627,520 people

An OMOP CDM-Based Relational Database of Clinical Research Eligibility Criteria

Studies in health technology and informatics

Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond

Journal of the American Medical Informatics Association : JAMIA

DQueST: dynamic questionnaire for search of clinical trials

Extract, transform, load framework for the conversion of health databases to OMOP


Language Is Not All You Need: Aligning Perception with Language Models

Grounding Language Models to Images for Multimodal Inputs and Outputs

The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions

Generating Images with Multimodal Language Models

MAGMA -- Multimodal Augmentation of Generative Models through
  Adapter-based Finetuning

Language Models are General-Purpose Interfaces

Linearly Mapping from Image to Text Space

Generative Pretraining in Multimodality

LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection

Vision Skills Needed to Answer Visual Questions

Proceedings of the ACM on human-computer interaction


End-To-End Memory Network using Tensorflow

End-To-End Memory Networks

Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds

t-Exponential Memory Networks for Question-Answering Machines

Learning to Organize Knowledge with N-Gram Machines

Think Visually: Question Answering through Virtual Imagery

Learning to Organize Knowledge and Answer Questions with N-Gram Machines

A2P-MANN: Adaptive Attention Inference Hops Pruned Memory-Augmented Neural Networks.


10th Anniversary Edition (Not endorsed by Nintendo)

Evolving Mario Levels in the Latent Space of a Deep Convolutional
  Generative Adversarial Network

Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network

Intentional Computational Level Design

Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study

Generating Levels That Teach Mechanics

International Conference on Foundations of Digital Games

Deep Surrogate Assisted Generation of Environments

Interactive Explanations: Diagnosis and Repair of Reinforcement Learning Based Agent Behaviors

Procedural content generation using neuroevolution and novelty search for diverse video game levels

Proceedings of the Genetic and Evolutionary Computation Conference

Compressing and Comparing the Generative Spaces of Procedural Content Generators

Hybrid Encoding for Generating Large Scale Game Level Patterns With Local Variations


RNA Secondary Structure Prediction using an Ensemble of Two-dimensional Deep Neural Networks and Transfer Learning.

RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning

Recent trends in RNA informatics: a review of machine learning and deep learning for RNA secondary structure prediction and RNA drug discovery

RnaBench: A Comprehensive Library for In Silico RNA Modelling


Efficient and precise single-cell reference atlas mapping with Symphony

Single-cell transcriptome landscape of circulating CD4+ T cell populations in autoimmune diseases


Bridging LLM and Recommender System.

Recommender AI Agent: Integrating Large Language Models for Interactive
  Recommendations

Aligning Large Language Models for Controllable Recommendations

Aligning Language Models for Versatile Text-based Item Retrieval


HotNet2 is an algorithm for finding significantly altered subnetworks in a large gene interaction network

Integrative epigenetic taxonomy of primary prostate cancer

Gene and Network Analysis of Common Variants Reveals Novel Associations in Multiple Complex Diseases

Predicting links between tumor samples and genes using 2-Layered graph based diffusion approach

Boosting GWAS using biological networks: A study on susceptibility to familial breast cancer

Integrating Protein Interaction Networks and Somatic Mutation Data to Detect Driver Modules in Pan-Cancer

Combining network-guided GWAS to discover susceptibility mechanisms for breast cancer


Bioinformatics tools for dealing with Multiple Alignment Format (MAF) files.

Gradual polyploid genome evolution revealed by pan-genomic analysis of Brachypodium hybridum and its diploid progenitors

A comparison of humans and baboons suggests germline mutation rates do not track cell divisions

Leveraging base-pair mammalian constraint to understand genetic variation and human disease.

bioRxiv : the preprint server for biology

Genome-wide identification of conserved intronic non-coding sequences using a Bayesian segmentation approach

Efficient merging of genome profile alignments


[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions

SceneDreamer: Unbounded 3D Scene Generation From 2D Image Collections

A General-Purpose Self-Supervised Model for Computational Pathology

Healthy Cities, A comprehensive dataset for environmental determinants of health in England cities

An open dataset for intelligent recognition and classification of abnormal condition in longwall mining

Champion Solution for the WSDM2023 Toloka VQA Challenge


Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems

A Survey of Knowledge-enhanced Text Generation

Multi-level Memory for Task Oriented Dialogs

North American Chapter of the Association for Computational Linguistics

Disentangling Language and Knowledge in Task-Oriented Dialogs

Scaling Multi-Domain Dialogue State Tracking via Query Reformulation

A Working Memory Model for Task-oriented Dialog Response Generation

Meeting of the Association for Computational Linguistics

Learning to Memorize in Neural Task-Oriented Dialogue Systems


[CVPR2022] DanceTrack: Multiple Object Tracking in Uniform Appearance and Diverse Motion

DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion

MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors

MOTRv3: Release-Fetch Supervision for End-to-End Multi-Object Tracking

UTOPIA: Unconstrained Tracking Objects without Preliminary Examination
  via Cross-Domain Adaptation


FoLiA Linguistic Annotation Tool -- Flat is a web-based linguistic annotation environment based around the FoLiA format (http://proycon.github.io/folia), a rich XML-based format for linguistic annotation. Flat allows users to view annotated FoLiA documents and enrich these documents with new annotations, a wide variety of linguistic annotation types is supported through the FoLiA paradigm.

An extensive review of tools for manual annotation of documents

UCCAApp: Web-application for Syntactic and Semantic Phrase-based Annotation

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017): SYSTEM DEMONSTRATIONS

Annotation d’expressions polylexicales verbales en français (Annotation of verbal multiword expressions in French)

HAL (Le Centre pour la Communication Scientifique Directe)

FITAnnotator: A Flexible and Intelligent Text Annotation System

A French corpus annotated for multiword expressions and named entities

Event Coreference Resolution for Contentious Politics Events

@PhilosTEI: Building Corpora for Philosophers

Extending TextAE for annotation of non-contiguous entities

Genomics & informatics/Genomics & Informatics


Creative Commons Attribution Share Alike 4.0 International

CSKG: The CommonSense Knowledge Graph

CSKG: The CommonSense Knowledge Graph

Dimensions of Commonsense Knowledge

Commonsense Knowledge in Wikidata


Rethinking Image Inpainting via a Mutual Encoder Decoder with Feature Equalizations. ECCV 2020 Oral

Image Inpainting for Irregular Holes Using Partial Convolutions

Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations

Pluralistic Image Completion with Probabilistic Mixture-of-Experts


STORM movie analysis code

Analyzing Single Molecule Localization Microscopy Data Using Cubic Splines

Analyzing complex single-molecule emission patterns with deep learning

Teaching deep neural networks to localize sources in super-resolution microscopy by combining simulation-based learning and unsupervised learning

Teaching deep neural networks to localize single molecules for super-resolution microscopy


Semantic Image Synthesis with SPADE

Semantic Image Synthesis with Spatially-Adaptive Normalization

Taming Transformers for High-Resolution Image Synthesis

CNN-generated images are surprisingly easy to spot... for now

You Only Need Adversarial Supervision for Semantic Image Synthesis

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Clinical and translational values of spatial transcriptomics

Signal transduction and targeted therapy

Skilful nowcasting of extreme precipitation with NowcastNet

OASIS: Only Adversarial Supervision for Semantic Image Synthesis

International journal of computer vision

Synthesizing brain tumor images and annotations by combining progressive growing GAN and SPADE

Omni-GAN: On the Secrets of cGANs and Beyond


Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning

Distributed Statistical Machine Learning in Adversarial Settings

Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation

Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering


Unsupervised Data Augmentation (UDA)

Unsupervised Data Augmentation for Consistency Training

Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning

Uncertainty-aware Self-training for Text Classification with Few Labels

Semi-Supervised Text Classification with Balanced Deep Representation Distributions

Progressive Class Semantic Matching for Semi-supervised Text Classification

PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population

Feature-aware conditional GAN for category text generation


Leaked Mirai Source Code for Research/IoC Development Purposes

N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders

Turning Internet of Things(IoT) into Internet of Vulnerabilities (IoV) :
  IoT Botnets

Timely Detection and Mitigation of Stealthy DDoS Attacks via IoT Networks

CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment

AntibIoTic: Protecting IoT Devices Against DDoS Attacks

PROCEEDINGS OF 5TH INTERNATIONAL CONFERENCE IN SOFTWARE ENGINEERING FOR DEFENCE APPLICATIONS

Intelligent and behavioral-based detection of malware in IoT spectrum sensors

International journal of information security

The Impact of DoS Attacks onResource-constrained IoT Devices: A Study on the Mirai Attack.

eMUD: Enhanced Manufacturer Usage Description for IoT Botnets Prevention on Home WiFi Routers

A Highly Secure IoT Firmware Update Mechanism Using Blockchain

On the Detection of Low-Rate Denial of Service Attacks at Transport and Application Layers


A modular PyTorch library for optical flow estimation using neural networks

FlowNet: Learning Optical Flow with Convolutional Networks

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume

RAFT: Recurrent All-Pairs Field Transforms for Optical Flow

Volumetric Correspondence Networks for Optical Flow

Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation.

DCVNet: Dilated Cost Volume Networks for Fast Optical Flow


Metadata and versioning details for the Common Voice dataset

Common Voice: A Massively-Multilingual Speech Corpus

Continuous Pseudo-Labeling from the Start


[ICASSP 2024]  Matcha-TTS: A fast TTS architecture with conditional flow matching

Flow Matching for Generative Modeling

Flow Straight and Fast: Learning to Generate and Transfer Data with
  Rectified Flow


:deciduous_tree: Create a tree using Mash distances

Mashtree: a rapid comparison of whole genome sequence files

Evaluation of strategies for the assembly of diverse bacterial genomes using MinION long-read sequencing

Genetic diversity and characteristics of high-level tigecycline resistance Tet(X) in Acinetobacter species

When the levee breaks: a practical guide to sketching algorithms for processing the flood of genomic data

Immunosuppression broadens evolutionary pathways to drug resistance and treatment failure during Acinetobacter baumannii pneumonia in mice

Whole genome sequence of Vibrio cholerae directly from dried spotted filter paper

Fine-scale differentiation between Bacillus anthracis and Bacillus cereus group signatures in metagenome shotgun data

Isolation and Characterisation of Bacteriophage Selective for Key Acinetobacter baumannii Capsule Chemotypes

Detection of maternal transmission of resistant Gram-negative bacteria in a Cambodian hospital setting


Score-based Generative Models (Diffusion Models) for Speech Enhancement and Dereverberation

Speech Enhancement and Dereverberation With Diffusion-Based Generative Models

Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain

StoRM: A Diffusion-Based Stochastic Regeneration Model for Speech Enhancement and Dereverberation

Analysing Diffusion-based Generative Approaches versus Discriminative
  Approaches for Speech Restoration

Reducing the Prior Mismatch of Stochastic Differential Equations for Diffusion-based Speech Enhancement

Diffusion-Based Speech Enhancement with Joint Generative and Predictive
  Decoders

Noise-aware Speech Enhancement using Diffusion Probabilistic Model

Target Speech Extraction with Conditional Diffusion Model


Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu


This repo contains the code for ACL2020 paper "Coreference Resolution as Query-based Span Prediction"

CorefQA: Coreference Resolution as Query-based Span Prediction

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


lamtram: A toolkit for neural language and translation modeling

A Syntactic Neural Model for General-Purpose Code Generation

DyNet: The Dynamic Neural Network Toolkit

TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation

Correcting Length Bias in Neural Machine Translation

Stronger Baselines for Trustable Results in Neural Machine Translation

Learning to Generate Corrective Patches using Neural Machine Translation

Neural Lattice-to-Sequence Models for Uncertain Inputs

Neural Reranking Improves Subjective Quality of Machine Translation: NAIST at WAT2015

A user-study on online adaptation of neural machine translation to human post-edits

Lexicons and Minimum Risk Training for Neural Machine Translation: NAIST-CMU at WAT2016


Understand and test language model architectures on synthetic tasks.

Zoology: Measuring and Improving Recall in Efficient Language Models


A tiny library for coding with large language models.

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

PAL: Program-aided Language Models

Tree Prompting: Efficient Task Adaptation without Fine-Tuning

Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math Mistakes


Code for the paper URLNet - Learning a URL Representation with Deep Learning for Malicious URL Detection

URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection

Combining Long-Term Recurrent Convolutional and Graph Convolutional Networks to Detect Phishing Sites Using URL and HTML

Profiler: Profile-Based Model to Detect Phishing Emails

PhishRepo: A Seamless Collection of Phishing Data to Fill a Research Gap in the Phishing Domain

International journal of advanced computer science and applications/International journal of advanced computer science & applications


Almost trivial distributed parallelization of stencil-based GPU and CPU applications on a regular staggered grid

Adaptive numerical simulations with Trixi.jl: A case study of Julia for scientific computing

Bridging HPC Communities through the Julia Programming Language


PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.

What is the State of Neural Network Pruning?

Why is the State of Neural Network Pruning so Confusing? On the
  Fairness, Comparison Setup, and Trainability in Network Pruning

How I Learned to Stop Worrying and Love Retraining

Compression-aware Training of Neural Networks using Frank-Wolfe


Sample Efficiency Matters: A Benchmark for Practical Molecular
  Optimization

Exploring Chemical Space with Score-based Out-of-distribution Generation

Reinforced Genetic Algorithm for Structure-based Drug Design

Enhancing Sample Efficiency in Black-box Combinatorial Optimization via
  Symmetric Replay Training


YOLOX-ti-lite models are optimized for deployment on TI edge processors

Path Aggregation Network for Instance Segmentation

CSPNet: A New Backbone that can Enhance Learning Capability of CNN

YOLOX: Exceeding YOLO Series in 2021

YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss


Official website for "Video Polyp Segmentation: A Deep Learning Perspective (MIR 2022)"

Progressively Normalized Self-Attention Network for Video Polyp Segmentation

How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges


Extended Isolation Forest for Anomaly Detection

Extended Isolation Forest

IEEE transactions on knowledge and data engineering

Random Partitioning Forest for Point-Wise and Collective Anomaly Detection—Application to Network Intrusion Detection

IEEE transactions on information forensics and security

Interpretable, Multidimensional, Multimodal Anomaly Detection with Negative Sampling for Detection of Device Failure

Average Localised Proximity: A new data descriptor with good default one-class classification performance

Revisiting randomized choices in isolation forests


A collection of python scripts that deal with VASP outpts, e.g. WAVECAR, POTCAR etc.

Band Engineering of Dirac Semimetals Using Charge Density Waves

LaO as a candidate substrate for realizing superconductivity in an FeSe epitaxial film

Emergent Spin Phenomena in Air-Stable, Atomically Thin Lead

A substitutional quantum defect in WS_2 discovered by high-throughput
  computational screening and fabricated by site-selective STM manipulation

Inert gas as electronic impurity in semiconductors: The case for active
  infrared absorption in silicon


Repo for BenTsao [original name: HuaTuo (华驼)], Instruction-tuning Large Language Models with Chinese Medical Knowledge. 本草（原名：华驼）模型仓库，基于中文医学知识的大语言模型指令微调

HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge

HuatuoGPT, towards Taming Language Model to Be a Doctor

Knowledge-tuning Large Language Models with Structured Medical Knowledge
  Bases for Reliable Response Generation in Chinese

The CALLA Dataset: Probing LLMs' Interactive Knowledge Acquisition from
  Chinese Medical Literature

MedChatZH: a Better Medical Adviser Learns from Better Instructions


Metagol - an inductive logic programming system

Beyond the Imitation Game: Quantifying and extrapolating the
  capabilities of language models

Meta-interpretive learning of higher-order dyadic datalog: predicate invention revisited

Meta-interpretive learning: application to grammatical inference

Turning 30: New Ideas in Inductive Logic Programming

Learning programs by learning from failures

Inductive logic programming at 30: a new introduction

Learning large logic programs by going beyond entailment

The ILASP system for Inductive Learning of Answer Set Programs

From Statistical Relational to Neurosymbolic Artificial Intelligence: a
  Survey

Inductive Logic Programming via Differentiable Deep Neural Logic Networks.


Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

Proximal Policy Optimization Algorithms

Goal-Oriented Next Best Activity Recommendation using Reinforcement
  Learning

Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks

Learning Equational Theorem Proving


scCATCH: Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data

deCS: A Tool for Systematic Cell Type Annotations of Single-cell RNA Sequencing Data among Human Tissues

基因组蛋白质组与生物信息学报

A Review of Single-Cell RNA-Seq Annotation, Integration, and Cell–Cell Communication

Single-cell RNA-seq uncovers distinct pathways and genes in endothelial cells during atherosclerosis progression


:star:Github Ranking:star: Github stars and forks ranking list. Github Top100 stars list of different languages. Automatically update daily. | Github仓库排名，每日自动更新

A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation

DeepRelease: Language-agnostic Release Notes Generation from Pull Requests of Open-source Software


goleft is a collection of bioinformatics tools distributed under MIT license in a single static binary

STRetch: detecting and discovering pathogenic short tandem repeat expansions

Indexcov: fast coverage quality control for whole-genome sequencing

The mutational dynamics of short tandem repeats in large, multigenerational families

The Genome of the Margined White Butterfly (Pieris macdunnoughii): Sex Chromosome Insights and the Power of Polishing with PoolSeq Data

A Stop-Gain Mutation within MLPH Is Responsible for the Lilac Dilution Observed in Jacob Sheep

Evidence for a single, ancient origin of a genus-wide alternative life history strategy


A PyTorch implementation of "TextFuseNet: Scene Text Detection with Richer Fused Features".

PROCEEDINGS OF THE TWENTY-NINTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE

R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge


Trefle is a botanical JSON REST API for plants species, allowing you to search and query over all the registered species, and build the next gardening apps and farming robots.


A large-scale face dataset for face parsing, recognition, generation and editing.

MaskGAN: Towards Diverse and Interactive Facial Image Manipulation

EditGAN: High-Precision Semantic Image Editing

Towards Realistic Face Photo-Sketch Synthesis via Composition-Aided GANs

General Facial Representation Learning in a Visual-Linguistic Manner

PAIR-Diffusion: A Comprehensive Multimodal Object-Level Image Editor

E2Style: Improve the Efficiency and Effectiveness of StyleGAN Inversion

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

Linear Semantics in Generative Adversarial Networks

Thousand to One: Semantic Prior Modeling for Conceptual Coding

ContexedNet: Context–Aware Ear Detection in Unconstrained Settings

GIMP-ML: Python Plugins for using Computer Vision Models in GIMP


Fast R-CNN

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

Fast R-CNN

Accelerating Very Deep Convolutional Networks for Classification and Detection

LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with Deep Region-based Convolutional Networks

Global Weighted Average Pooling Bridges Pixel-level Localization and Image-level Classification

Neural Machine Translation with Latent Semantic of Image and Text

Double Attention-based Multimodal Neural Machine Translation with Semantic Image Regions

European Association for Machine Translation Conferences/Workshops

Una Revisión Sistemática de Métodos para Localizar Automáticamente Objetos en Imágenes

Revista iberoamericana de automática e informática industrial

The Pedestrian Patterns Dataset

Human Segmentation and Tracking Survey on Masks for MADS Dataset


The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

How to train your MAML

Task-Robust Model-Agnostic Meta-Learning


[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

Projected GANs Converge Faster

Regularizing Generative Adversarial Networks under Limited Data

Instance-Conditioned GAN

Understanding Pure CLIP Guidance for Voxel Grid NeRF Models

Few-shot Image Generation with Mixup-based Distance Learning

FreGAN: Exploiting Frequency Components for Training GANs under Limited
  Data

Distilling and Transferring Knowledge via cGAN-generated Samples for
  Image Classification and Regression

Model Selection for Bayesian Autoencoders

Data InStance Prior (DISP) in Generative Adversarial Networks


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.


Repository for the SCALE-MAMBA MPC system

Outis: Crypto-Assisted Differential Privacy on Untrusted Servers

Secure Multiparty Computation and Trusted Hardware: Examining Adoption Challenges and Opportunities

Privately Connecting Mobility to Infectious Diseases via Applied Cryptography

DLT Based Authentication Framework for Industrial IoT Devices

Analysis and Application of Verifiable Computation Techniques in Blockchain Systems for the Energy Sector

Private Hospital Workflow Optimization via Secure k-Means Clustering

Data Querying and Access Control for Secure Multiparty Computation

Foundations of Programmable Secure Computation

STAR: Statistical Tests with Auditable Results

A Note on Our Submission to Track 4 of iDASH 2019


Unofficial implementation of ZipNeRF

Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields

Mip-Splatting: Alias-free 3D Gaussian Splatting


ICDE'20 | A general & effective ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架

Self-paced Ensemble for Highly Imbalanced Massive Data Classification

MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler

Cross-Hospital Sepsis Early Detection via Semi-Supervised Optimal Transport With Self-Paced Ensemble

IEEE journal of biomedical and health informatics

GTF: An Adaptive Network Anomaly Detection Method at the Network Edge

Semi-supervised Optimal Transport with Self-paced Ensemble for Cross-hospital Sepsis Early Detection.


A header-only C++ library for L-BFGS and L-BFGS-B algorithms

DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact

The Quantum Approximate Optimization Algorithm at High Depth for MaxCut on Large-Girth Regular Graphs and the Sherrington-Kirkpatrick Model

Correspondence-Free Material Reconstruction using Sparse Surface Constraints

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

Integrated Nested Laplace Approximations for Large-Scale
  Spatial-Temporal Bayesian Modeling


Robust evasion attacks against neural network to find adversarial examples

Towards Evaluating the Robustness of Neural Networks

ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models

Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security

Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models

Gradient Descent Maximizes the Margin of Homogeneous Neural Networks

Detecting Adversarial Image Examples in Deep Neural Networks with Adaptive Noise Reduction

IEEE Transactions on Dependable and Secure Computing/IEEE transactions on dependable and secure computing

Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks

Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization

A game-based approximate verification of deep neural networks with provable guarantees

Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks

Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization


Geometric Computer Vision Library for Spatial AI

Focal Loss for Dense Object Detection

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

mixup: Beyond Empirical Risk Minimization

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

Loss Functions for Neural Networks for Image Processing

Segment Anything

The Lovász-Softmax loss: A tractable surrogate for the optimization of
  the intersection-over-union measure in neural networks

Making Convolutional Networks Shift-Invariant Again

LoFTR: Detector-Free Local Feature Matching with Transformers

MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer


OpenMMLab Detection Toolbox and Benchmark

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

SSD: Single Shot MultiBox Detector

Focal Loss for Dense Object Detection

Feature Pyramid Networks for Object Detection

YOLOv3: An Incremental Improvement

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Momentum Contrast for Unsupervised Visual Representation Learning

End-to-End Object Detection with Transformers

Path Aggregation Network for Instance Segmentation


Automated Water Supply Model (AWSM) was developed at the USDA Agricultural Research Service. AWSM was designed to streamline the workflow used to forecast the water supply of multiple water basins.


Soil Data Access Web Services


Library and Protégé plugin for generating Description Logic explanations

Evonne: Interactive Proof Visualization for Description Logics (System
  Description) -- Extended Version

On the Eve of True Explainability for OWL Ontologies: Description Logic
  Proofs with Evee and Evonne (Extended Version)


Functions to manipulate and visualize microbial community data

Comparing the Healthy Nose and Nasopharynx Microbiota Reveals Continuity As Well As Niche-Specificity

Anterior Nares Diversity and Pathobionts Represent Sinus Microbiome in Chronic Rhinosinusitis

The microbiome of the invertebrate model host Galleria mellonella is dominated by Enterococcus

Cotton and Surgical Face Masks in Community Settings: Bacterial Contamination and Face Mask Hygiene

The nasal mutualist Dolosigranulum pigrum AMBR11 supports homeostasis via multiple mechanisms

Microbial enrichment and storage for metagenomics of vaginal, skin, and saliva samples

Spontaneous Riboflavin-Overproducing Limosilactobacillus reuteri for Biofortification of Fermented Foods

Leaf side determines the relative importance of dispersal versus host filtering in the phyllosphere microbiome

Impacts of Menstruation, Community Type, and an Oral Yeast Probiotic on the Vaginal Microbiome

The Greenhouse Phyllosphere Microbiome and Associations with Introduced Bumblebees and Predatory Mites


MAW: a suite on the computation and application of Minimal Absent Words

Linear-time computation of minimal absent words using suffix array

Alignment-free sequence comparison using absent words

Linear-Time Sequence Comparison Using Minimal Absent Words & Applications

emMAW: computing minimal absent words in external memory

Bacteria classification using minimal absent words


A placeholder for all my random scripts.  Some scripts might eventually graduate and go to their own projects, so don't be surprised if anything leaves in the future.

Whole genome sequencing of emerging multidrug resistant Candida auris isolates in India demonstrates low genetic variation

CTX-M-65 Extended-Spectrum β-Lactamase-Producing Salmonella enterica Serotype Infantis, United States1.

Antibiotic Resistance in Shiga Toxigenic Escherichia coli Isolates from Surface Waters and Sediments in a Mixed Use Urban Agricultural Landscape


Time Series Initialization of Buildings

Bottom-up energy supply optimization of a national building stock

The role of hydrogen in German residential buildings


Racmacs R package for performing antigenic cartography https://acorg.github.io/Racmacs

Deep immunological imprinting due to the ancestral spike in the current bivalent COVID-19 vaccine

Immune evasion, infectivity, and fusogenicity of SARS-CoV-2 BA.2.86 and FLip variants

Bivalent COVID-19 mRNA booster vaccination (BA.1 or BA.4/BA.5) increases neutralization of matched Omicron variants

Emergent variant modeling of the serological repertoire to norovirus in young children


Implementation of reduced-order optimal control schemes for finite element models of Soft Robots

Soft Robot Optimal Control Via Reduced Order Finite Element Models

Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots


DeepPrivacy2 - A Toolbox for Realistic Image Anonymization

Self-Distilled StyleGAN: Towards Generation from Internet Photos

DeepPrivacy2: Towards Realistic Full-Body Anonymization

Synthesizing Anyone, Anywhere, in Any Pose

Does Image Anonymization Impact Computer Vision Training?


The purpose of Raster Fairy is to transform any kind of 2D point cloud into a regular raster whilst trying to preserve the neighborhood relations that were present in the original cloud. A typical use case is if you have a similarity clustering of images and want to show the images in a regular table structure.

Improving GAN Training via Binarized Representation Entropy (BRE) Regularization

Integrating contrastive learning with dynamic models for reinforcement learning from images

Improving Performance in Colorectal Cancer Histology Decomposition using
  Deep and Ensemble Machine Learning

CLOUD: Contrastive Learning of Unsupervised Dynamics

A General Framework for Visualization of Sound Collections in Musical Interfaces

Synthesizing Bidirectional Temporal States of Knee Osteoarthritis
  Radiographs with Cycle-Consistent Generative Adversarial Neural Networks


Enhancements of HCP Pipelines for non-human primates

Towards HCP-Style macaque connectomes: 24-Channel 3T multi-array coil, MRI sequences and preprocessing

The NonHuman Primate Neuroimaging & Neuroanatomy Project

Comparative connectomics of the primate social brain

Anatomical variability, multi-modal coordinate systems, and precision targeting in the marmoset brain


Physical regimes of electrostatic wave-wave nonlinear interactions generated by an electron beam propagating in a background plasma

Particle-in-cell modeling of electron beam generated plasma

Direct implicit and explicit energy-conserving particle-in-cell methods for modeling of capacitively coupled plasma devices

Numerical thermalization in 2D PIC simulations: Practical estimates for low-temperature plasma simulations


A fast and certifying solver for quantified Boolean formulas.

Learning Heuristics for Quantified Boolean Formulas through Reinforcement Learning

Partial Quantifier Elimination By Certificate Clauses

Partial Quantifier Elimination And Property Generation


Time Dependent Open Quantum Systems Solver written by Matthew Otten (otten@anl.gov)

Recovering noise-free quantum observables

Accounting for errors in quantum algorithms via individual error reduction

Noise-Resilient Quantum Dynamics Using Symmetry-Preserving Ansatzes

Benchmarking near-term quantum computers via random circuit sampling

PsiQuaSP–A library for efficient computation of symmetric open quantum systems

Quantum Machine Learning using Gaussian Processes with Performant Quantum Kernels

Performance Evaluation and Acceleration of the QTensor Quantum Circuit Simulator on GPUs

PROCEEDINGS OF SECOND INTERNATIONAL WORKSHOP ON QUANTUM COMPUTING SOFTWARE (QCS 2021)

Importance of Diagonal Gates in Tensor Network Simulations

Enabling Pulse-level Programming, Compilation, and Execution in XACC

Optical detection and storage of entanglement in plasmonically coupled quantum-dot qubits


Lightweight Python implementation of Normative Modelling

Scalable Variational Gaussian Process Classification

Understanding Heterogeneity in Clinical Cohorts Using Normative Models: Beyond Case-Control Studies

Conceptualizing mental disorders as deviations from normative functioning

A normative modelling approach reveals age-atypical cortical thickness in a subgroup of males with autism spectrum disorder

Alpha Waves as a Neuromarker of Autism Spectrum Disorder: The Challenge of Reproducibility and Heterogeneity

Normative modeling of neuroimaging data using generalized additive models of location scale and shape

Morning Plasma Melatonin Differences in Autism: Beyond the Impact of Pineal Gland Volume

The pitfalls of using Gaussian Process Regression for normative modeling


An R Interface to the Daymet Web Services

Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery

Retrieving and processing agro-meteorological data from API-client sources using R software


Model of an idealized Moist Atmosphere: Intermediate-complexity General Circulation Model with full radiation


The main repo of Penglai Enclave based on RISC-V Trapped Virtual Memory (TVM).


Port of SPGL1 to python

The importance of phase in complex compressive sensing

Keep the phase! Signal recovery in phase-only compressive sensing

Interferometric lensless imaging: rank-one projections of image frequencies with speckle illuminations


Microstructure Diffusion Toolbox

Challenges for biophysical modeling of microstructure

Sleep quality relates to emotional reactivity via intracortical myelination

Multimodal and multicontrast image fusion via deep generative models

Reliability on multiband diffusion NODDI models: A test retest study on children and adults

Neurite Orientation Dispersion and Density Imaging in Multiple Sclerosis: A Systematic Review

Journal of magnetic resonance imaging : JMRI

GAMER-MRI in Multiple Sclerosis Identifies the Diffusion-Based Microstructural Measures That Are Most Sensitive to Focal Damage: A Deep-Learning-Based Analysis and Clinico-Biological Validation

Fast quantification of uncertainty in non-linear diffusion MRI models for artifact detection and more power in group studies

Multishell diffusion MRI reveals whole‐brain white matter changes in HIV


A Large-Scale Corpus for Conversation Disentanglement

Meeting of the Association for Computational Linguistics

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection

Constructing Interpretive Spatio-Temporal Features for Multi-Turn Responses Selection

An Adaptive Response Matching Network for Ranking Multi-turn Chatbot Responses

NATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS (NLDB 2020)


:chart_with_upwards_trend: Automatically optimise three of Velvet's assembly parameters.

Genomic differentiation among wild cyanophages despite widespread horizontal gene transfer

Global phylogeography and evolutionary history of Shigella dysenteriae type 1

Comparative transcriptome analysis of lufenuron-resistant and susceptible strains of Spodoptera frugiperda (Lepidoptera: Noctuidae)

Lineage‐specific plasmid acquisition and the evolution of specialized pathogens in Bacillus thuringiensis and the Bacillus cereus group

Porphyromonas gingivalis Uses Specific Domain Rearrangements and Allelic Exchange to Generate Diversity in Surface Virulence Factors

Evaluation of phylogenetic reconstruction methods using bacterial whole genomes: a simulation based study

Whole-genome sequencing of a quarter-century melioidosis outbreak in temperate Australia uncovers a region of low-prevalence endemicity

Genomic and Phenotypic Analyses of Acinetobacter baumannii Isolates From Three Tertiary Care Hospitals in Thailand

Pre-vaccine serotype composition within a lineage signposts its serotype replacement – a carriage study over 7 years following pneumococcal conjugate vaccine use in the UK

The genus Serratia revisited by genomics


Source code for the ICDCS 2022 paper "Dissecting the Performance of Chained-BFT"

Scaling Blockchain Consensus via a Robust Shared Mempool


Extracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale

Extracting the intertidal extent and topography of the Australian coastline from a 28 year time series of Landsat observations

Mapping Australia's dynamic coastline at mean sea level using three decades of Landsat imagery

Between the tides: Modelling the elevation of Australia's exposed intertidal zone at continental scale

Sub-Pixel Waterline Extraction: Characterising Accuracy and Sensitivity to Indices and Spectra

Geomorphic insights into Australia's coastal change using a national dataset derived from the multi-decadal Landsat archive


A curated list of Blockchain projects for Artificial Intelligence and Machine Learning

Decentralized & Collaborative AI on Blockchain

International Congress on Blockchain and Applications

Coin.AI: A Proof-of-Useful-Work Scheme for Blockchain-Based Distributed Deep Learning

Proof-of-Learning: A Blockchain Consensus Mechanism Based on Machine Learning Competitions

IEEE International Conference on Decentralized Applications and Infrastructures

Proof of Federated Learning: A Novel Energy-Recycling Consensus Algorithm

On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda

Energy-recycling Blockchain with Proof-of-Deep-Learning

Analysis of Models for Decentralized and Collaborative AI on Blockchain

BlockML: a useful proof of work system based on machine learning tasks

MIDDLEWARE'19: PROCEEDINGS OF THE 2019 20TH INTERNATIONAL MIDDLEWARE CONFERENCE DOCTORAL SYMPOSIUM

Hyperparameter Optimization Using Sustainable Proof of Work in Blockchain

A mining pool solution for novel proof-of-neural-architecture consensus


A python  binding of Dart, an open source simulation package

Preparing for the Unknown: Learning a Universal Policy with Online System Identification

Learning symmetric and low-energy locomotion

Policy Transfer with Strategy Optimization

Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards


Efficient algorithms for analyzing DNA methylation data.

Genomic and phenotypic insights from an atlas of genetic effects on DNA methylation

Meffil: efficient normalization and analysis of very large DNA methylation datasets

Distinct DNA methylation profiles in subtypes of orofacial cleft

Genetic regulation of methylation in human endometrium and blood and gene targets for reproductive diseases

Meffil: efficient normalisation and analysis of very large DNA methylation samples

Using Openly Accessible Resources to Strengthen Causal Inference in Epigenetic Epidemiology of Neurodevelopment and Mental Health

DNA methylation changes following narrative exposure therapy in a randomized controlled trial with female former child soldiers

Identifying epigenetic biomarkers of established prognostic factors and survival in a clinical cohort of individuals with oropharyngeal cancer

Epigenetic prediction of complex traits and mortality in a cohort of individuals with oropharyngeal cancer

Increased Methylation of Brain-Derived Neurotrophic Factor (BDNF) Is Related to Emotionally Unstable Personality Disorder and Severity of Suicide Attempt in Women


Extension of the SentenceSimplification project

Transforming Complex Sentences into a Semantic Hierarchy

DisSim: A Discourse-Aware Syntactic Text Simplification Framework for English and German

Context-Preserving Text Simplification


pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis

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

Computer methods and programs in biomedicine

Application of A U-Net for Map-like Segmentation and Classification of Discontinuous Fibrosis Distribution in Gd-EOB-DTPA-Enhanced Liver MRI


Sequence-to-sequence TTS based on Kyubyong's dc_tts

Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention

International Conference on Acoustics, Speech, and Signal Processing

Confidence through Attention

Laughter Synthesis: Combining Seq2seq modeling with Transfer Learning

Speaker verification-derived loss and data augmentation for DNN-based multispeaker speech synthesis

Location, Location: Enhancing the Evaluation of Text-to-Speech Synthesis Using the Rapid Prosody Transcription Paradigm


A comprehensive, unified and modular event extraction toolkit.

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

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

KoLA: Carefully Benchmarking World Knowledge of Large Language Models

The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation

OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding


A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

Domain Generalization: A Survey

Domain Generalization with MixStyle

Domain Adaptive Ensemble Learning

Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation

Style Normalization and Restitution for Domain Generalization and Adaptation

Semi-Supervised Domain Generalization with Stochastic StyleMatch

MixStyle Neural Networks for Domain Generalization and Adaptation

Dynamic Instance Domain Adaptation

Robust Target Training for Multi-Source Domain Adaptation

PyTorch Adapt


Comprehensive list of known attack vectors and common anti-patterns

A Survey on Ethereum Systems Security: Vulnerabilities, Attacks and
  Defenses

How effective are smart contract analysis tools? evaluating smart contract static analysis tools using bug injection

International Symposium on Software Testing and Analysis

Vyper: A Security Comparison with Solidity Based on Common
  Vulnerabilities

TokenHook: Secure ERC-20 smart contract.

To Healthier Ethereum: A Comprehensive and Iterative Smart Contract
  Weakness Enumeration

Unveiling the Landscape of Smart Contract Vulnerabilities: A Detailed Examination and Codification of Vulnerabilities in Prominent Blockchains

International journal of computer networks and communications

OpenSCV: An Open Hierarchical Taxonomy for Smart Contract
  Vulnerabilities


R package: A state-of-the-art Vegetation Phenology extraction package, phenofit

Evaluation of Land Surface Phenology for Autumn Leaf Color Change Based on Citizen Reports across Japan


Indonesian stemmer. Python port of PHP Sastrawi project.

Multi-label Hate Speech and Abusive Language Detection in Indonesian Twitter

THIRD WORKSHOP ON ABUSIVE LANGUAGE ONLINE

Clickbait Headline Detection in Indonesian News Sites using Multilingual Bidirectional Encoder Representations from Transformers (M-BERT)

Aspect-based Sentiment Analysis on Indonesia’s Tourism Destinations Based on Google Maps User Code-Mixed Reviews (Study Case: Borobudur and Prambanan Temples)

Pacific Asia Conference on Language, Information, and Computation

Implementation of Stacking Ensemble Classifier for Multi-class Classification of COVID-19 Vaccines Topics on Twitter

Scientific Journal of Informatics/Scientific journal of informatics

Topic Modeling of Online Media News Titles during COVID-19 Emergency Response in Indonesia Using the Latent Dirichlet Allocation (LDA) Algorithm

Knowing Right from Wrong: Should We Use More Complex Models for Automatic Short-Answer Scoring in Bahasa Indonesia?

Empirical Methods in Natural Language Processing

A stance dataset with aspect-based sentiment information from Indonesian COVID-19 vaccination-related tweets


Keras implementation of ViT (Vision Transformer)

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

Investigating the Vision Transformer Model for Image Retrieval Tasks

ViT-ReT: Vision and Recurrent Transformer Neural Networks for Human Activity Recognition in Videos

Ensembles of data-efficient vision transformers as a new paradigm for automated classification in ecology

It's DONE: Direct ONE-shot learning with quantile weight imprinting

Graph Convolutional Networks based on manifold learning for semi-supervised image classification

2-speed network ensemble for efficient classification of incremental
  land-use/land-cover satellite image chips


Pretraining, fine-tuning and evaluation scripts for Indic-Wav2Vec2

Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages


A Multipurpose Library for Synthetic Time Series Generation in Python

Benchmarking Deep Learning Interpretability in Time Series Predictions

What went wrong and when? Instance-wise Feature Importance for Time-series Models

Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series

IEEE journal of biomedical and health informatics

Efficient Optimization of Echo State Networks for Time Series Datasets

International Joint Conference on Neural Network

On the Resilience of Biometric Authentication Systems against Random Inputs

Proceedings 2020 Network and Distributed System Security Symposium

MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data

A Causal Approach to Detecting Multivariate Time-series Anomalies and
  Root Causes

Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models

Misclassification Bias in Computational Social Science: A Simulation Approach for Assessing the Impact of Classification Errors on Social Indicators Research

One-Class Convolutional Neural Networks for Water-Level Anomaly Detection


Baseline model for nocaps benchmark, ICCV 2019 paper "nocaps: novel object captioning at scale".

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts

International Conference on Computer Vision

Guided Open Vocabulary Image Captioning with Constrained Beam Search

ECOL-R: Encouraging Copying in Novel Object Captioning with Reinforcement Learning


PDDLStream: Integrating Symbolic Planners and Blackbox Samplers via Optimistic Adaptive Planning

Learning compositional models of robot skills for task and motion planning

The international journal of robotics research

STRIPS Planning in Infinite Domains


InstructPix2Pix: Learning to Follow Image Editing Instructions

Instruction Tuning for Large Language Models: A Survey

Collaborative Score Distillation for Consistent Visual Synthesis

InstructEdit: Improving Automatic Masks for Diffusion-based Image
  Editing With User Instructions

COCO-Counterfactuals: Automatically Constructed Counterfactual Examples
  for Image-Text Pairs

EditShield: Protecting Unauthorized Image Editing by Instruction-guided
  Diffusion Models


An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"

Winning the NIST Contest: A scalable and general approach to differentially private synthetic data

The journal of privacy and confidentiality

PrivSyn: Differentially Private Data Synthesis

New Oracle-Efficient Algorithms for Private Synthetic Data Release

Benchmarking Differentially Private Synthetic Data Generation Algorithms

Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods

Relaxed Marginal Consistency for Differentially Private Query Answering

Understanding how Differentially Private Generative Models Spend their
  Privacy Budget

Privacy-preserving data release leveraging optimal transport and particle gradient descent

CuTS: Customizable Tabular Synthetic Data Generation


Template-based implementation of RANSAC and its variants in C++

Reference Pose Generation for Long-term Visual Localization via Learned Features and View Synthesis

SOLD2: Self-supervised Occlusion-aware Line Description and Detection

Leveraging local and global descriptors in parallel to search correspondences for visual localization


Obtain Word Alignments using Pretrained Language Models (e.g., mBERT)

SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings

MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset

Analyzing the Mono- and Cross-Lingual Pretraining Dynamics of Multilingual Language Models

Investigating the Reordering Capability in CTC-based Non-Autoregressive End-to-End Speech Translation

Automatic Generation of Distractors for Fill-in-the-Blank Exercises with Round-Trip Neural Machine Translation

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop

Can Synthetic Translations Improve Bitext Quality?

Using Neural Machine Translation for Generating Diverse Challenging Exercises for Language Learner

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

A Case Study on the Importance of Named Entities in a Machine Translation Pipeline for Customer Support Content

European Association for Machine Translation Conferences/Workshops

Does mBERT understand Romansh? Evaluating word embeddings using word
  alignment


a library to measure the python energy consumption of python code

Energon: Toward Efficient Acceleration of Transformers Using Dynamic Sparse Attention

GNNear: Accelerating Full-Batch Training of Graph Neural Networks with
  Near-Memory Processing

Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent


EMNLP 2021 - CTC: A Unified Framework for Evaluating Natural Language Generation

TRUE: Re-evaluating Factual Consistency Evaluation

Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation

NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist


Learning to Calibrate Battery Models in Real-Time with Deep Reinforcement Learning

A Prescriptive Dirichlet Power Allocation Policy with Deep Reinforcement
  Learning

Battery Model Calibration with Deep Reinforcement Learning


Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research project that was started at Element AI.

Learning where to learn: Gradient sparsity in meta and continual learning

Deep learning in a bilateral brain with hemispheric specialization


A power network simulator with a Reinforcement Learning-focused usage.

Learning to run a power network challenge for training topology controllers

Design and implementation of an environment for Learning to Run a Power Network (L2RPN)


Stanford Open Information Extraction made simple!

Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Large
  Language Models

CO2Sum:Contrastive Learning for Factual-Consistent Abstractive Summarization

Relation-aware Bidirectional Path Reasoning for Commonsense Question Answering

Proceedings of the 25th Conference on Computational Natural Language Learning


Ariane is a 6-stage RISC-V CPU

TheHuzz: Instruction Fuzzing of Processors Using Golden-Reference Models
  for Finding Software-Exploitable Vulnerabilities

An Exhaustive Approach to Detecting Transient Execution Side Channels in RTL Designs of Processors

Efficient Sealable Protection Keys for RISC-V.


Pyramid Stereo Matching Network (CVPR2018)

Pyramid Stereo Matching Network

Learning for Disparity Estimation through Feature Constancy

Learning Depth with Convolutional Spatial Propagation Network

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching

SERV-CT: A disparity dataset from cone-beam CT for validation of endoscopic 3D reconstruction

SDF-MAN: Semi-Supervised Disparity Fusion with Multi-Scale Adversarial Networks

UDFNet: Unsupervised Disparity Fusion with Adversarial Networks

I2P-Rec: Recognizing Images on Large-Scale Point Cloud Maps Through Bird's Eye View Projections

Disparity Estimation Networks for Aerial and High-Resolution Satellite Images: A Review


Utterance-level Aggregation For Speaker Recognition In The Wild

Special issue on Bio-inspired optimization techniques for Biomedical Data Analysis: Methods and applications

Audio-video fusion strategies for active speaker detection in meetings

Zero-Shot Personalized Lip-To-Speech Synthesis with Face Image Based Voice Control


PENMAN notation (e.g. AMR) in Python

AMR Parsing as Sequence-to-Graph Transduction

Penman: An Open-Source Library and Tool for AMR Graphs

Meeting of the Association for Computational Linguistics

Promoting Graph Awareness in Linearized Graph-to-Text Generation

AMR Normalization for Fairer Evaluation

ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation


The entmax mapping and its loss, a family of sparse softmax alternatives.

From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification

Adaptively Sparse Transformers

Sparse Sequence-to-Sequence Models

Inducing Target-Specific Latent Structures for Aspect Sentiment Classification

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

Learning with Fenchel-Young Losses

Sparse Text Generation

Smoothing and Shrinking the Sparse Seq2Seq Search Space

Beyond Characters: Subword-level Morpheme Segmentation

Special Interest Group on Computational Morphology and Phonology Workshop

Weakly Supervised Learning Significantly Reduces the Number of Labels
  Required for Intracranial Hemorrhage Detection on Head CT

DeepSPIN: Deep Structured Prediction for Natural Language Processing


Methylation/modified base calling separated from basecalling.

Scalable Nanopore sequencing of human genomes provides a comprehensive view of haplotype-resolved variation and methylation

bioRxiv : the preprint server for biology

Complete sequencing of a cynomolgus macaque major histocompatibility complex haplotype

Genome-wide methylation patterns from canine nanopore assemblies


Control-FREEC: Copy number and genotype annotation in whole genome and whole exome sequencing data

Genomic aberrations after short-term exposure to colibactin-producing E. coli transform primary colon epithelial cells

Global chromosome rearrangement induced by CRISPR-Cas9 reshapes the genome and transcriptome of human cells


Document ranking via sentence modeling using BERT

Simple Applications of BERT for Ad Hoc Document Retrieval

Adversarial Semantic Collisions

Retrieval for Extremely Long Queries and Documents with RPRS: a Highly Efficient and Effective Transformer-based Re-Ranker


A package to download ECMWF open data


Voice Conversion With Just Nearest Neighbors

Phoneme Hallucinator: One-shot Voice Conversion via Set Expansion


Multi-Output Gaussian Process Toolkit

MOGPTK: The Multi-Output Gaussian Process Toolkit

SAMBA: Safe Model-Based & Active Reinforcement Learning

Gaussian process imputation of multiple financial series

Federated Estimation of Causal Effects from Observational Data

Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures

Detecting the periodicity of highly irregularly sampled light curves with Gaussian processes: the case of SDSS J025214.67−002813.7

Monthly notices of the Royal Astronomical Society


MoleculeX: a new and rapidly growing suite of machine     learning methods and software tools for molecule exploration

Advanced Graph and Sequence Neural Networks for Molecular Property
  Prediction and Drug Discovery

Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs

Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks

Enhancing geometric representations for molecules with equivariant vector-scalar interactive message passing


matlab and python wrap of crf and dense crf, both 2d and 3d are supported

MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning

Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention

Critic Guided Segmentation of Rewarding Objects in First-Person Views

Attention as Annotation: Generating Images and Pseudo-masks for Weakly
  Supervised Semantic Segmentation with Diffusion

EVAC+: Multi-scale V-net with Deep Feature CRF Layers for Brain Extraction


Generative 3D Part Assembly via Dynamic Graph Learning, NeurIPS 2020

JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints

Breaking Bad: A Dataset for Geometric Fracture and Reassembly


PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation

Learning hierarchical relationships for object-goal navigation

Learning to Unknot


Trojan Attack on Neural Network

Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep Neural Networks

CLEANN: Accelerated Trojan Shield for Embedded Neural Networks

Proceedings of the 39th International Conference on Computer-Aided Design

Trojan Signatures in DNN Weights

TamperNN: Efficient Tampering Detection of Deployed Neural Nets


Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

DDL-SLAM: A Robust RGB-D SLAM in Dynamic Environments Combined With Deep Learning

A Multi-Level Approach to Waste Object Segmentation

Hidden Backdoor Attack against Semantic Segmentation Models

Unleashing the power of Neural Collapse for Transferability Estimation


Gaussian word embeddings

Order-Embeddings of Images and Language

Word Representations via Gaussian Embedding

HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment

Embedding Words as Distributions with a Bayesian Skip-gram Model

Predicting Word Association Strengths

Modeling Context Words as Regions: An Ordinal Regression Approach to Word Embedding

Conference on Computational Natural Language Learning


[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

Efficient Video Representation Learning via Motion-Aware Token Selection

Efficient Video Action Detection with Token Dropout and Context Refinement


An open-source framework for self-supervised recommender systems.

Self-Supervised Learning for Recommender Systems: A Survey

XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation

WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering

RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k
  Recommendation

Integrating Large Language Models into Recommendation via Mutual
  Augmentation and Adaptive Aggregation


The S-Space repsitory, from the AIrhead-Research group

Recent Trends in Deep Learning Based Natural Language Processing

Exploring Topic Coherence over Many Models and Many Topics

Empirical Methods in Natural Language Processing

An Evaluation of Graded Sense Disambiguation using Word Sense Induction

Joint Conference on Lexical and Computational Semantics

Unsupervised Modeling of Topical Relevance in L2 Learner Text

Workshop on Innovative Use of NLP for Building Educational Applications

Topical Phrase Extraction from Clinical Reports by Incorporating both Local and Global Context

Semantically Motivated Hebrew Verb-Noun Multi-Word Expressions Identification

International Conference on Computational Linguistics


A fast and scalable C++ library for implicit-feedback matrix factorization models

Collaborative Similarity Embedding for Recommender Systems

SQL-Rank: A Listwise Approach to Collaborative Ranking

Matrix Factorization on GPUs with Memory Optimization and Approximate Computing

Advances in Collaborative Filtering and Ranking


COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs

Lyra: A Benchmark for Turducken-Style Code Generation

Refined Commonsense Knowledge from Large-Scale Web Contents

IEEE transactions on knowledge and data engineering

CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning

Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue
  Summarization

Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents

PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population

ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems


State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.

Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm

A Survey on Text Classification: From Shallow to Deep Learning

CARER: Contextualized Affect Representations for Emotion Recognition

SEntiMoji: An Emoji-Powered Learning Approach for Sentiment Analysis in Software Engineering

TRAC@COLING 2018 - TRAC-1 Shared Task on Aggression Identification: IIT(ISM)@COLING'18.

A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks

NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji pre-trained CNN for Irony Detection in Tweets

North American Chapter of the Association for Computational Linguistics

Shaping the Narrative Arc: An Information-Theoretic Approach to
  Collaborative Dialogue

Irony Detection in Persian Language: A Transfer Learning Approach Using Emoji Prediction

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

Generating Emotionally Aligned Responses in Dialogues using Affect Control Theory


Python Vietnamese Core NLP Toolkit

UIT-ViIC: A Dataset for the First Evaluation on Vietnamese Image Captioning

Combining Advanced Methods in Japanese-Vietnamese Neural Machine Translation

PROCEEDINGS OF 2018 10TH INTERNATIONAL CONFERENCE ON KNOWLEDGE AND SYSTEMS ENGINEERING (KSE)

Using Convolution Neural Network with BERT for Stance Detection in Vietnamese

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Miko Team: Deep Learning Approach for Legal Question Answering in ALQAC 2022


Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".

Navigating to Objects Specified by Images

One-shot Imitation Learning via Interaction Warping


Monolingual wordlists with pronunciation information in IPA

Learning to pronounce as measuring cross-lingual joint
  orthography-phonology complexity


The author's officially unofficial PyTorch BigGAN implementation.

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Training Generative Adversarial Networks with Limited Data

Differentiable Augmentation for Data-Efficient GAN Training

Unsupervised Discovery of Interpretable Directions in the GAN Latent Space

A U-Net Based Discriminator for Generative Adversarial Networks

Image Synthesis with a Single (Robust) Classifier

Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis

A Good Image Generator Is What You Need for High-Resolution Video Synthesis

Adversarial Generation of Continuous Images

Improved Consistency Regularization for GANs


Creative Commons Attribution 4.0 International

BFO repository including source code and latest documents

The environment ontology in 2016: bridging domains with increased scope, semantic density, and interoperation

Measuring Expert Performance at Manually Classifying Domain Entities under Upper Ontology Classes

The Smart City Ontology 2.0: Assessing the Components and Interdependencies of City Smartness

Applying knowledge bases to make factories smarter

The smashHitCore Ontology for GDPR-Compliant Sensor Data Sharing in Smart Cities

Knowledge Graph Building Blocks: An easy-to-use Framework for developing
  FAIREr Knowledge Graphs

Towards a Rosetta Stone for (meta)data: Learning from natural language
  to improve semantic and cognitive interoperability


Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.

Lightweight Multi-Branch Network for Person Re-Identification

Towards a Principled Integration of Multi-Camera Re-Identification and Tracking through Optimal Bayes Filters


A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery

Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley

International journal of applied earth observation and geoinformation

Evaluating the capabilities of Sentinel-2 for quantitative estimation of biophysical variables in vegetation

ISPRS journal of photogrammetry and remote sensing

Canopy near-infrared reflectance and terrestrial photosynthesis

A visible band index for remote sensing leaf chlorophyll content at the canopy scale

Analysis of Impervious Surface and its Impact on Urban Heat Environment using the Normalized Difference Impervious Surface Index (NDISI)

Photogrammetric engineering and remote sensing

Enhanced Built-Up and Bareness Index (EBBI) for Mapping Built-Up and Bare Land in an Urban Area

A unified vegetation index for quantifying the terrestrial biosphere

The Generalized Difference Vegetation Index (GDVI) for Dryland Characterization

Classification and change detection of built-up lands from Landsat-7 ETM+ and Landsat-8 OLI/TIRS imageries: A comparative assessment of various spectral indices


TCR and BCR assembly from RNA-seq data

TRUST4: immune repertoire reconstruction from bulk and single-cell RNA-seq data

Benchmarking computational methods for B-cell receptor reconstruction from single-cell RNA-seq data


The PyTorch Implementation of SummaRuNNer

Summarizing Medical Conversations via Identifying Important Utterances

Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documents

Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries

Dialect Diversity in Text Summarization on Twitter

Summaformers @ LaySumm 20, LongSumm 20

IDN-Sum: A New Dataset for Interactive Digital Narrative Extractive Text Summarisation


The Senses Toolkit offers a range of modules to learn about and explore climate change scenarios.


Near infrared spectroscopy and star-formation histories of 3 <= z <= 4 quiescent galaxies

Evidence for GN-z11 as a luminous galaxy at redshift 10.957

An Extremely Massive Quiescent Galaxy at z=3.493: Evidence of Insufficiently Rapid Quenching Mechanisms in Theoretical Models.

ZFIRE: Galaxy Cluster Kinematics, Hα Star Formation Rates, and Gas-Phase Metallicities of XMM-LSS J02182-05102 at z=1.6233

The Massive Ancient Galaxies at z > 3 NEar-infrared (MAGAZ3NE) Survey: Confirmation of Extremely Rapid Star Formation and Quenching Timescales for Massive Galaxies in the Early Universe

Spectroscopic Confirmation of a Protocluster at z = 3.37 with a High Fraction of Quiescent Galaxies

Predicting Lyα Emission from Galaxies via Empirical Markers of Production and Escape in the KBSS*

The Early Phases of Supernova 2020pni: Shock Ionization of the Nitrogen-enriched Circumstellar Material

A possible bright ultraviolet flash from a galaxy at redshift z ≈ 11

Faint COSMOS AGN at z~3.3 - I. Black Hole Properties and Constraints on
  Early Black Hole Growth


A library for manipulating DMRS structures

Functional Distributional Semantics

Semantic Composition via Probabilistic Model Theory

A Proposition-Based Abstractive Summariser

Graph- and surface-level sentence chunking

Meeting of the Association for Computational Linguistics

Variational Inference for Logical Inference


Planck 2018 lensing pipeline

CMB lensing from Planck PR4 maps

Journal of Cosmology and Astroparticle Physics

Massive merging cluster PSZ2G091 as seen by the NIKA2 camera

Quadratic estimators for CMB weak lensing

Foreground Separation and Constraints on Primordial Gravitational Waves
  with the PICO Space Mission

Lensing power spectrum of the cosmic microwave background with deep polarization experiments

CMB lensing reconstruction biases from masking extragalactic sources

Planck integrated Sachs-Wolfe-lensing likelihood and the CMB temperature

Forecasts of CMB lensing reconstruction of AliCPT-1 from the foreground cleaned polarization data

Impact of thermal Sunyaev–Zeldovich effect on cross-correlations between Planck cosmic microwave background lensing and SDSS galaxy density fields

Monthly notices of the Royal Astronomical Society

Real-world CMB lensing quadratic estimator power spectrum response


Nonlinear perturbation theory extension of the Boltzmann code CLASS

Updated constraints from the effective field theory analysis of the BOSS power spectrum on early dark energy

Cosmological constraints from the power spectrum of eBOSS emission line galaxies

Precision analysis of the redshift-space galaxy bispectrum

Constraining decaying dark matter with BOSS data and the effective field theory of large-scale structures

ShapeFit: extracting the power spectrum shape information in galaxy surveys beyond BAO and RSD

Cosmology with the redshift-space galaxy bispectrum monopole at one-loop order

Consistency of effective field theory analyses of the BOSS power spectrum

Assessing the robustness of sound horizon-free determinations of the Hubble constant

Determining the Hubble constant without the sound horizon: Perspectives with future galaxy surveys


Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction

Graph Neural Network for Traffic Forecasting: A Survey

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

IEEE transactions on intelligent transportation systems

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

A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting

KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting

A Comprehensive Survey on Traffic Prediction.

Traffic Flow Prediction with Vehicle Trajectories

THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities

Transportation research. Part C, Emerging technologies

Big Data for Traffic Estimation and Prediction: A Survey of Data and Tools


Collection of scripts that integrates docking, virtual screening, similarity and molecular modeling programs.

Evaluation of Activity of Sesquiterpene Lactones and Chicory Extracts as Acetylcholinesterase Inhibitors Assayed in Calorimetric and Docking Simulation Studies

Effect of Inhibiting Butyrylcholinesterase Activity Using Fractionated Coffee Extracts Digested In Vitro in Gastrointestinal Tract: Docking Simulation and Calorimetric and Studies

Exploring the Antioxidant Properties of Caffeoylquinic and Feruloylquinic Acids: A Computational Study on Hydroperoxyl Radical Scavenging and Xanthine Oxidase Inhibition


You Only Look Once for Panopitic Driving Perception.（MIR2022）

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

MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

YOLOP: You Only Look Once for Panoptic Driving Perception

You Only Look at Once for Real-time and Generic Multi-Task

DisPlacing Objects: Improving Dynamic Vehicle Detection via Visual Place Recognition under Adverse Conditions


[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

Core Challenges of Social Robot Navigation: A Survey

Relational Graph Learning for Crowd Navigation

Move Beyond Trajectories: Distribution Space Coupling for Crowd Navigation

Interaction Modeling with Multiplex Attention

Learning to Socially Navigate in Pedestrian-rich Environments with Interaction Capacity


The Polygenic and Monogenic Basis of Blood Traits and Diseases

Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci

Loss-of-function genomic variants highlight potential therapeutic targets for cardiovascular disease

GWAS meta-analysis highlights the hypothalamic-pituitary-gonadal axis (HPG axis) in the genetic regulation of menstrual cycle length

Genome-wide meta-analysis of iron status biomarkers and the effect of iron on all-cause mortality in HUNT

Mapping of susceptible variants for cold medicine-related Stevens–Johnson syndrome by whole-genome resequencing


Simod is a tool for automated BPS model discovery

Automated discovery of business process simulation models from event logs

Discovering generative models from event logs: data-driven simulation vs deep learning

Discovering Business Process Simulation Models in the Presence of Multitasking


Convolutional recurrent network in pytorch

An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models

Text Recognition in the Wild: A Survey

Scene Text Image Super-Resolution in the Wild

Text Prior Guided Scene Text Image Super-Resolution

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

Text detection and recognition based on a lensless imaging system


Surveillance System Against Violence

You Only Look Once: Unified, Real-Time Object Detection

Two-Stream Convolutional Networks for Action Recognition in Videos

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

Action Recognition with Trajectory-Pooled Deep-Convolutional Descriptors


OpenAQ API


Chemical Kinetics For Exoplanetary Atmospheres

VULCAN: An Open-source, Validated Chemical Kinetics Python Code for Exoplanetary Atmospheres

The Astrophysical journal. Supplement series/Astrophysical journal. Supplement series

A solar C/O and sub-solar metallicity in a hot Jupiter atmosphere

Photochemically-produced SO_2 in the atmosphere of WASP-39b

ANALYTICAL MODELS OF EXOPLANETARY ATMOSPHERES. III. GASEOUS C–H–O–N CHEMISTRY WITH NINE MOLECULES

A Comparative Study of Atmospheric Chemistry with VULCAN

Evidence for disequilibrium chemistry from vertical mixing in hot Jupiter atmospheres

Inferring Shallow Surfaces on Sub-Neptune Exoplanets with JWST

Atmospheric compositions and observability of nitrogen-dominated ultra-short-period super-Earths

A broadband thermal emission spectrum of the ultra-hot Jupiter WASP-18b

Stellar impact on disequilibrium chemistry and observed spectra of hot Jupiter atmospheres


Statistical comparison of multiple algorithms

MrSQM: Fast Time Series Classification with Symbolic Representations

Improving Accuracy of Interpretability Measures in Hyperparameter
  Optimization via Bayesian Algorithm Execution

Scalable classifier-agnostic channel selection for multivariate time series classification

Barrakuda: A Hybrid Evolutionary Algorithm for Minimum Capacitated Dominating Set Problem

Evolving Neural Networks in Reinforcement Learning by means of UMDAc

Pattern recognition in data as a diagnosis tool


MilliCar - An ns-3 Module for mmWave NR V2X Networks

Toward Standardization of Millimeter-Wave Vehicle-to-Vehicle Networks: Open Challenges and Performance Evaluation

MilliCar -- An ns-3 Module for mmWave NR V2X Networks

NR V2X Communications at Millimeter Waves: An End-to-End Performance Evaluation


A speedy Rust port of PyZX

Simulating quantum circuits with ZX-calculus reduced stabiliser decompositions

Category Theory for Quantum Natural Language Processing


Neural Open Information Extraction

A Survey on Open Information Extraction

Language Models are Open Knowledge Graphs

Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence

Span Model for Open Information Extraction on Accurate Corpus

DeepStruct: Pretraining of Language Models for Structure Prediction

Bringing Stories Alive: Generating Interactive Fiction Worlds

Zero-Shot Information Extraction as a Unified Text-to-Triple Translation

Pre-training to Match for Unified Low-shot Relation Extraction

Summarizing Unstructured Logs in Online Services.


[CVPR 2022] SparseInst: Sparse Instance Activation for Real-Time Instance Segmentation

Deep Residual Learning for Image Recognition

YOLOv4: Optimal Speed and Accuracy of Object Detection

Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions


Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)

OASIS: Only Adversarial Supervision for Semantic Image Synthesis

International journal of computer vision

Few-shot Semantic Image Synthesis with Class Affinity Transfer

Idempotence and Perceptual Image Compression


A collection of scripts for working with Hi-C data, Juicebox, and other genomic file formats

Sequencing and Chromosome-Scale Assembly of Plant Genomes, Brassica rapa as a Use Case

The pink salmon genome: Uncovering the genomic consequences of a two-year life cycle

Phased Diploid Genome Sequence for the Fast-Growing Microalga Picochlorum celeri

Topological structures and syntenic conservation in sea anemone genomes

A chromosome scale assembly of the parasitoid wasp Venturia canescens provides insight into the process of virus domestication


PyGCL: A PyTorch Library for Graph Contrastive Learning

An Empirical Study of Graph Contrastive Learning

Spectral Feature Augmentation for Graph Contrastive Learning and Beyond

A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications

Line Graph Contrastive Learning for Link Prediction

ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification


Microsatellite Analysis for Normal-Tumor InStability

Molecular and Computational Methods for the Detection of Microsatellite Instability in Cancer

Immunotherapy in Metastatic Colorectal Cancer: Could the Latest Developments Hold the Key to Improving Patient Survival?

Analytic pipelines to assess the relationship between immune response and germline genetics in human tumors


Intelligence Task Ontology (ITO)

A critical analysis of metrics used for measuring progress in artificial
  intelligence

A curated, ontology-based, large-scale knowledge graph of artificial intelligence tasks and benchmarks

Mapping global dynamics of benchmark creation and saturation in artificial intelligence

Benchmark datasets driving artificial intelligence development fail to capture the needs of medical professionals

A global analysis of metrics used for measuring performance in natural language processing


Extreme weather detection and characterization

TempestExtremes: a framework for scale-insensitive pointwise feature tracking on unstructured grids

TempestExtremes v2.1: a community framework for feature detection, tracking, and analysis in large datasets

Assessing sensitivities in algorithmic detection of tropical cyclones in climate data

Evaluation of a Unique Approach to High-Resolution Climate Modelling using the Model for Prediction Across Scales (MPAS) version 5.1

An Assessment of Nonhydrostatic and Hydrostatic Dynamical Cores at Seasonal Time Scales in the Energy Exascale Earth System Model (E3SM)

Journal of advances in modeling earth systems

A Comparative Study Between Regional Atmospheric Model Simulations Coupled and Uncoupled to a Regional Ocean Model of the Indian Summer Monsoon

Connecting Large‐Scale Meteorological Patterns to Extratropical Cyclones in CMIP6 Climate Models Using Self‐Organizing Maps


PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

PointCNN: Convolution On ��-Transformed Points

PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding

ABC: A Big CAD Model Dataset For Geometric Deep Learning

Point Cloud Semantic Segmentation


File system and storage benchmark that uses a custom language to generate a large variety of workloads.

Supporting Security Sensitive Tenants in a Bare-Metal Cloud

DurableFS: A File System for Persistent Memory

Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning

Separation of Virtual Machine I/O in Cloud Systems

RIO: Order-Preserving and CPU-Efficient Remote Storage Access

Proceedings of the Eighteenth European Conference on Computer Systems

SCJ: Segment Cleaning Journaling for Log-Structured File Systems

A social link based private storage cloud

International Conference on Parallel and Distributed Systems


The Simplest DCGAN Implementation

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Counterfactuals uncover the modular structure of deep generative models

A Theory of Independent Mechanisms for Extrapolation in Generative Models


RTEC is an Event Calculus implementation optimised for stream reasoning

Online event recognition from moving vessel trajectories

Composite Event Recognition for Maritime Monitoring

Fine-Tuned Compressed Representations of Vessel Trajectories

Zenodo (CERN European Organization for Nuclear Research)

The Complex Event Recognition Group


SV caller for nanopore data

Mapping and phasing of structural variation in patient genomes using nanopore sequencing

Tandem-genotypes: robust detection of tandem repeat expansions from long DNA reads

A pipeline for complete characterization of complex germline rearrangements from long DNA reads

Is an SV caller compatible with sequencing data? An online recommendation tool to automatically recommend the optimal caller based on data features


Antibiotic resistance prediction in minutes

Antibiotic resistance prediction for Mycobacterium tuberculosis from genome sequence data with Mykrobe

Whole-Genome Sequencing Analysis to Identify Infection with Multiple Species of Nontuberculous Mycobacteria

Prevalence and genetic basis of first-line drug resistance of Mycobacterium tuberculosis in Ca Mau, Vietnam

Persistent Salmonella enterica serovar Typhi sub-populations within host interrogated by whole genome sequencing and metagenomics


This is a collection of our zero-cost NAS and efficient vision applications.

Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition

A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS

DAMO-YOLO : A Report on Real-Time Object Detection Design

MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection

DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network

Entropy-Driven Mixed-Precision Quantization for Deep Network Design

Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video
  Recognition

Human Activities Detection using DeepLearning Technique- YOLOv8


TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models

Improving GAN Training with Probability Ratio Clipping and Sample
  Reweighting

DGSAN: Discrete Generative Self-Adversarial Network

Stochastic Parrots Looking for Stochastic Parrots: LLMs are Easy to
  Fine-Tune and Hard to Detect with other LLMs

Feature-aware conditional GAN for category text generation


A library for Multilingual Unsupervised or Supervised word Embeddings

Exploiting Similarities among Languages for Machine Translation

Word Translation Without Parallel Data

Unsupervised Machine Translation Using Monolingual Corpora Only

A Survey of Cross-lingual Word Embedding Models

Offline bilingual word vectors, orthogonal transformations and the inverted softmax

Improving zero-shot learning by mitigating the hubness problem

Unsupervised Alignment of Embeddings with Wasserstein Procrustes

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

GLUECoS : An Evaluation Benchmark for Code-Switched NLP

A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL), VOL 1


A general-purpose, deep learning-first library for constrained optimization in PyTorch

Controlled Sparsity via Constrained Optimization or: How I Learned to
  Stop Tuning Penalties and Love Constraints

L_0onie: Compressing COINs with L_0-constraints

Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse
  Actions, Interventions and Sparse Temporal Dependencies


Get assembly statistics from FASTA and FASTQ files

Genetic determinants of endophytism in the Arabidopsis root mycobiome

Insights into the genomic evolution of insects from cricket genomes

Sharing of carbapenemase-encoding plasmids between Enterobacteriaceae in UK sewage uncovered by MinION sequencing

A high-quality, chromosome-level genome assembly of the Black Soldier Fly (Hermetia illucens L.)

Analysis of muntjac deer genome and chromatin architecture reveals rapid karyotype evolution

Prophage-Mediated Disruption of Genetic Competence in Staphylococcus pseudintermedius

Geography Shapes the Population Genomics of Salmonella enterica Dublin

Divergent sensory and immune gene evolution in sea turtles with contrasting demographic and life histories

De Novo Genome Assembly of the Japanese Wheat Cultivar Norin 61 Highlights Functional Variation in Flowering Time and Fusarium-Resistant Genes in East Asian Genotypes

Genomics of the Argentinian cholera epidemic elucidate the contrasting dynamics of epidemic and endemic Vibrio cholerae