Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

ConvLab: Multi-Domain End-to-End Dialog System Platform

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Using Data Augmentation Based Reinforcement Learning for Daily Stock Trading

SLM Lab: A Comprehensive Benchmark and Modular Software Framework for Reproducible Deep Reinforcement Learning


Metabolite Atlas Main Repository

Microbial Ecology on Solar Panels in Berkeley, CA, United States

A Defined Medium for Cultivation and Exometabolite Profiling of Soil Bacteria

Substrate Utilization and Competitive Interactions Among Soil Bacteria Vary With Life-History Strategies

Root morphology and exudate availability is shaped by particle size and chemistry in Brachypodium distachyon


A library for lattice-based multiparty homomorphic encryption in Go

Advances and Open Problems in Federated Learning

POSEIDON: Privacy-Preserving Federated Neural Network Learning

Truly privacy-preserving federated analytics for precision medicine with multiparty homomorphic encryption

Homomorphic Encryption for Machine Learning in Medicine and Bioinformatics

A systematic review of homomorphic encryption and its contributions in healthcare industry

Multiparty Homomorphic Encryption from Ring-Learning-with-Errors

Proceedings on Privacy Enhancing Technologies

ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key Reuse

FAB: An FPGA-based Accelerator for Bootstrappable Fully Homomorphic Encryption

Scalable Privacy-Preserving Distributed Learning

Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets


This library provides a framework for assessing wind plant performance using operational assessment (OA) methodologies that consume time series data from wind plants. The goal of the project is to provide an open source implementation of common data structures, analysis methods, and utility functions relevant to wind plant OA.

OpenOA: An Open-Source Codebase For Operational Analysis of Wind Farms

Operational-based annual energy production uncertainty: are its components actually uncorrelated?

Considering Uncertainties of Key Performance Indicators in Wind Turbine Operation

Reviewing methods and assumptions for high-resolution large-scale onshore wind energy potential assessments

Identification and prioritization of low performing wind turbines using a power curve health value approach

Are Uncertainty Categories in a Wind Farm Annual Energy Production Estimate Actually Uncorrelated?


Graphics Processing Units Molecular Dynamics

Influence of thermostatting on nonequilibrium molecular dynamics simulations of heat conduction in solids

GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations

Zenodo (CERN European Organization for Nuclear Research)

Homogeneous nonequilibrium molecular dynamics method for heat transport and spectral decomposition with many-body potentials

Improving the accuracy of the neuroevolution machine learning potential for multi-component systems

Equivalence of the equilibrium and the nonequilibrium molecular dynamics methods for thermal conductivity calculations: From bulk to nanowire silicon

Thermal transport in MoS2 from molecular dynamics using different empirical potentials

Reduced thermal conductivity of supported and encased monolayer and bilayer MoS2

Quantum-corrected thickness-dependent thermal conductivity in amorphous silicon predicted by machine learning molecular dynamics simulations

Heat transport in pristine and polycrystalline single-layer hexagonal boron nitride

Physical chemistry chemical physics : PCCP

Thermal transport properties of single-layer black phosphorus from extensive molecular dynamics simulations

Modelling and Simulation in Materials Science and Engineering


FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.

AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities

Understanding LLMs: A Comprehensive Overview from Training to Inference

FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models

AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language Processing

CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the
  Generalizability of Large Language Models


A toolbox of vision models and algorithms based on MindSpore

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

Going Deeper with Convolutions

Densely Connected Convolutional Networks

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

Rethinking the Inception Architecture for Computer Vision

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Xception: Deep Learning with Depthwise Separable Convolutions


A collection of QM data for training potential functions

SPICE, A Dataset of Drug-like Molecules and Peptides for Training Machine Learning Potentials

MACE-OFF23: Transferable Machine Learning Force Fields for Organic Molecules

Nutmeg and SPICE: Models and Data for Biomolecular Machine Learning


Sequence Generation Model for Multi-label Classification (COLING 2018)

A Survey on Text Classification: From Shallow to Deep Learning

SGM: Sequence Generation Model for Multi-label Classification

Label-Specific Document Representation for Multi-Label Text Classification

Empirical Methods in Natural Language Processing

Rethinking Complex Neural Network Architectures for Document Classification

North American Chapter of the Association for Computational Linguistics

Well-calibrated confidence measures for multi-label text classification with a large number of labels

Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation

MEXN: Multi-Stage Extraction Network for Patent Document Classification

An Empirical Study on Active Learning for Multi-label Text Classification

The Fourth Workshop on Insights from Negative Results in NLP


MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering

OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge

Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding


Unofficial PyTorch Reimplementation of RandAugment.

RandAugment: Practical automated data augmentation with a reduced search space

Fast AutoAugment

HANA: A HAndwritten NAme Database for Offline Handwritten Text Recognition

Model-Based Domain Generalization

Convolutional Dynamic Alignment Networks for Interpretable Classifications

IEEE Transactions on Computational Social Systems

CNN-based event classification of alpha-decay events in nuclear emulsion

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Robust Training of Social Media Image Classification Models for Rapid Disaster Response

Optimising for Interpretability: Convolutional Dynamic Alignment Networks

CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning


SimGNN: A Neural Network Approach to Fast Graph Similarity Computation

Multilevel Graph Matching Networks for Deep Graph Similarity Learning

IEEE transactions on neural networks and learning systems

Conditional Graph Information Bottleneck for Molecular Relational Learning

Shift-Robust Molecular Relational Learning with Causal Substructure


Code for IEEE Communication Magazine (A Survey on Behaviour Recognition Using WiFi Channle State Information)

Two-Stream Convolution Augmented Transformer for Human Activity Recognition

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

WiFi Motion Detection: A Study into Efficacy and Classification

A Survey of Human Activity Recognition Using WiFi CSI

FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things


Crystal graph convolutional neural networks for predicting material properties.

Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties

Deep Learning on Graphs: A Survey

Recent advances and applications of deep learning methods in materials science

Benchmarking materials property prediction methods: the Matbench test set and Automatminer reference algorithm

Infusing theory into deep learning for interpretable reactivity prediction

Transfer learning for materials informatics using crystal graph convolutional neural network

MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction

Powder X‐Ray Diffraction Pattern Is All You Need for Machine‐Learning‐Based Symmetry Identification and Property Prediction

Examining graph neural networks for crystal structures: limitations and opportunities for capturing periodicity

LLM-Prop: Predicting Physical And Electronic Properties Of Crystalline Solids From Their Text Descriptions


An application to visualize scholar articles as an interactive graph

A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs)

IEEE transactions on biomedical circuits and systems

HOTS: A Hierarchy of Event-Based Time-Surfaces for Pattern Recognition

IEEE transactions on pattern analysis and machine intelligence

EMVS: Event-Based Multi-View Stereo—3D Reconstruction with an Event Camera in Real-Time

International Journal of Computer Vision

An Event-Driven Classifier for Spiking Neural Networks Fed with Synthetic or Dynamic Vision Sensor Data

A Motion-Based Feature for Event-Based Pattern Recognition

Event-Based Stereo Depth Estimation Using Belief Propagation


Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets

Structure-based Drug Design with Equivariant Diffusion Models

A 3D Generative Model for Structure-Based Drug Design

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

Docking-based generative approaches in the search for new drug candidates

Learning Subpocket Prototypes for Generalizable Structure-based Drug Design

FREED++: Improving RL Agents for Fragment-Based Molecule Generation by Thorough Reproduction

Benchmarking structure-based three-dimensional molecular generative
  models using GenBench3D: ligand conformation quality matters


Test genes for Spatial Variation

Visualization and analysis of gene expression in tissue sections by spatial transcriptomics

SpatialDE: identification of spatially variable genes

Clinical and translational values of spatial transcriptomics

Signal transduction and targeted therapy

Spatial omics: Navigating to the golden era of cancer research

Analysis and Visualization of Spatial Transcriptomic Data

Deep Learning in Single-Cell Analysis

SINFONIA: Scalable Identification of Spatially Variable Genes for Deciphering Spatial Domains

Computational elucidation of spatial gene expression variation from spatially resolved transcriptomics data

A selective review of recent developments in spatially variable gene detection for spatial transcriptomics


The authors official implementation of Unsupervised Discovery of Interpretable Directions in the GAN Latent Space

Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View

Disentangled Representations from Non-Disentangled Models

Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model


log anomaly detection via BERT

LogBERT: Log Anomaly Detection via BERT

LogGPT: Log Anomaly Detection via GPT

RAPID: Training-free Retrieval-based Log Anomaly Detection with PLM considering Token-level information


: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

An Empirical Study on Workflows and Security Policies in Popular GitHub Repositories

Unraveling Code Clone Dynamics in Deep Learning Frameworks


ClusterJob: An automated system for painless and reproducible massive computational experiments

Prevalence of neural collapse during the terminal phase of deep learning training

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

The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size.

Traces of Class/Cross-Class Structure Pervade Deep Learning Spectra


Code and example data for running Consensus Non-negative Matrix Factorization on single-cell RNA-Seq data

Identifying gene expression programs of cell-type identity and cellular activity with single-cell RNA-Seq

A concerted neuron–astrocyte program declines in ageing and schizophrenia

Single‐cell RNA‐seq reveals clonal diversity and prognostic genes of relapsed multiple myeloma

Single-Cell RNA-seq Reveals Characteristics of Malignant Cells and Immune Microenvironment in Subcutaneous Panniculitis-Like T-Cell Lymphoma

Patterning and folding of intestinal villi by active mesenchymal dewetting

bioRxiv : the preprint server for biology

Single-cell transcriptomic analysis of the tumor ecosystem of adenoid cystic carcinoma

MLG: multilayer graph clustering for multi-condition scRNA-seq data

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

Robust Bayesian Tensor Factorization with Zero-Inflated Poisson Model and Consensus Aggregation


Modelling and optimal control of single- and multiple-kite systems for airborne wind energy

Wake characteristics of pumping mode airborne wind energy systems

Validation of the quasi-steady performance model for pumping airborne wind energy systems

SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2020), PTS 1-5

AWEbox: An Optimal Control Framework for Single- and Multi-Aircraft Airborne Wind Energy Systems

Offshore and onshore ground-generation airborne wind energy power curve characterization


Track and predict the energy consumption and carbon footprint of training deep learning models.

Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models

eco2AI: Carbon Emissions Tracking of Machine Learning Models as the First Step Towards Sustainable AI

Unraveling the Hidden Environmental Impacts of AI Solutions for Environment Life Cycle Assessment of AI Solutions

Towards Climate Awareness in NLP Research

Yes We Care! -- Certification for Machine Learning Methods through the Care Label Framework

MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy

Energy Consumption of Deep Generative Audio Models

Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI

Segmenting two-dimensional structures with strided tensor networks

Locally orderless tensor networks for classifying two- and three-dimensional medical images


In defence of metric learning for speaker recognition

Pushing the limits of raw waveform speaker recognition

Graph Attention Networks for Speaker Verification

Three-class Overlapped Speech Detection using a Convolutional Recurrent Neural Network

DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion

HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech Synthesis

ASVtorch toolkit: Speaker verification with deep neural networks

LMD: A Learnable Mask Network to Detect Adversarial Examples for Speaker Verification

Magnitude-aware Probabilistic Speaker Embeddings

On the potential of jointly-optimised solutions to spoofing attack detection and automatic speaker verification


Alex Dialogue Systems Framework

A Context-aware Natural Language Generator for Dialogue Systems

Annual Meeting of the Special Interest Group on Discourse and Dialogue

Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerce

ACM Conference on Hypertext & Social Media

Free on-line speech recogniser based on Kaldi ASR toolkit producing word posterior lattices

Are the Multilingual Models Better? Improving Czech Sentiment with Transformers

Alex: Bootstrapping a Spoken Dialogue System for a New Domain by Real Users


:bike: Extract data from public hire bicycle systems


Open clone of OpenAI's unreleased WebText dataset scraper. This version uses pushshift.io files instead of the API for speed.

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

Pre-trained models for natural language processing: A survey

Steering Language Models With Activation Engineering

Teaching Arithmetic to Small Transformers

Taken out of context: On measuring situational awareness in LLMs

ApplicaAI at SemEval-2020 Task 11: On RoBERTa-CRF, Span CLS and Whether Self-Training Helps Them

Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA

Evaluating the Robustness of Discrete Prompts

Collective response to the media coverage of COVID-19 Pandemic on Reddit and Wikipedia

Conformal Nucleus Sampling


Pythonic interface to netCDF4 via h5py


Data access library for the MeerKAT radio telescope

Analysis of physical processes in eruptive YSOs with near-infrared spectra and multiwavelength light curves

The 1.28 GHz MeerKAT Galactic Center Mosaic

MeerKAT Primary-beam Measurements in the L Band

KERN

Multi-dimensional radio frequency interference framework for characterizing radio astronomy observatories

Simultaneous X-ray and radio observations of the transitional millisecond pulsar candidate CXOU J110926.4–650224

MeerKAT's discovery of a radio relic in the bimodal merging cluster A2384

Monthly Notices of the Royal Astronomical Society

MeerKAT follow-up of enigmatic GLEAM 4-Jy (G4Jy) sources

Mining Mini-Halos with MeerKAT I. Calibration and Imaging

The discovery of a z=0.7092 OH megamaser with the MIGHTEE survey


Define fortify and autoplot functions to allow ggplot2 to handle some popular R packages.

ggfortify: Unified Interface to Visualize Statistical Results of Popular R Packages

Response of Brassica napus to Plasmodiophora brassicae Involves Salicylic Acid-Mediated Immunity: An RNA-Seq-Based Study

A Simple Guideline to Assess the Characteristics of RNA-Seq Data

Transcriptomic Response under Heat Stress in Chickens Revealed the Regulation of Genes and Alteration of Metabolism to Maintain Homeostasis

Animals : an open access journal from MDPI

LINC01002 functions as a ceRNA to regulate FRMD8 by sponging miR-4324 for the development of COVID-19

Blood transcriptome comparison between sexes and their function in 4-week Rhode Island red chickens


The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.

LoRA: Low-Rank Adaptation of Large Language Models

QLoRA: Efficient Finetuning of Quantized LLMs

Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Qwen Technical Report

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

YaRN: Efficient Context Window Extension of Large Language Models

Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

L-Eval: Instituting Standardized Evaluation for Long Context Language Models

Skywork: A More Open Bilingual Foundation Model

Vary: Scaling up the Vision Vocabulary for Large Vision-Language Models


Denoising Diffusion Probabilistic Models

Variational Diffusion Models

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

Fast Sampling of Diffusion Models with Exponential Integrator

DIRE for Diffusion-Generated Image Detection

gDDIM: Generalized denoising diffusion implicit models

The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers

Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel

Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond

Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection


Accelerating the deduplication and collapsing process for reads with Unique Molecular Identifiers (UMI). Heavily optimized for scalability and orders of magnitude faster than a previous tool.

Algorithms for efficiently collapsing reads with Unique Molecular Identifiers

Large-scale map of RNA binding protein interactomes across the mRNA life-cycle


Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Graph Neural Networks: A Review of Methods and Applications

Spectral Networks and Locally Connected Networks on Graphs

Deep Convolutional Networks on Graph-Structured Data

Graph Neural Networks with convolutional ARMA filters

Spectral Clustering with Graph Neural Networks for Graph Pooling

Graph Convolutional Neural Networks via Scattering

Applied and Computational Harmonic Analysis

Mincut pooling in Graph Neural Networks.

State of the Art and Potentialities of Graph-level Learning

PiNet: Attention Pooling for Graph Classification


Insightface Keras implementation

MagFace: A Universal Representation for Face Recognition and Quality Assessment

AdaFace: Quality Adaptive Margin for Face Recognition

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

LCAM: Low-Complexity Attention Module for Lightweight Face Recognition Networks


PPG-Based Voice Conversion

Any-to-Many Voice Conversion With Location-Relative Sequence-to-Sequence Modeling

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

FastSVC: Fast Cross-Domain Singing Voice Conversion with Feature-wise Linear Modulation

VoiceGrad: Non-Parallel Any-to-Many Voice Conversion With Annealed Langevin Dynamics

Catch You and I Can: Revealing Source Voiceprint Against Voice Conversion

StreamVC: Real-Time Low-Latency Voice Conversion

Parrot-Trained Adversarial Examples: Pushing the Practicality of Black-Box Audio Attacks against Speaker Recognition Models


Tools for accessing and maintaining the iTEM model & historical databases

The International Transport Energy Modeling (iTEM) Open Data & Harmonized Transport Database

Zenodo (CERN European Organization for Nuclear Research)


Python implementation of the conformal prediction framework.

Big-Data Science in Porous Materials: Materials Genomics and Machine Learning

Predicting With Confidence: Using Conformal Prediction in Drug Discovery

Maximizing gain in high-throughput screening using conformal prediction

Traditional Machine and Deep Learning for Predicting Toxicity Endpoints

Uncertainty estimations methods for a deep learning model to aid in clinical decision-making -- a clinician's perspective

How Nonconformity Functions and Difficulty of Datasets Impact the Efficiency of Conformal Classifiers

Conformal Prediction with Orange


Learning to Parse Wireframes in Images of Man-Made Environments

Learning Attraction Field Representation for Robust Line Segment Detection

TP-LSD: Tri-Points Based Line Segment Detector

Learning Regional Attraction for Line Segment Detection

Wide-Angle Image Rectification: A Survey

Wireframe Parsing With Guidance of Distance Map

A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challenges

MCMLSD: A Probabilistic Algorithm and Evaluation Framework for Line Segment Detection


Code for the paper "DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks" (ICCV '19)

International Conference on Computer Vision

Can You Read Me Now? Content Aware Rectification using Angle Supervision

Marior: Margin Removal and Iterative Content Rectification for Document Dewarping in the Wild

Unfolder: Fast localization and image rectification of a document with a crease from folding in half


Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs (EMNLP 2020)

Modeling Relational Data with Graph Convolutional Networks

Convolutional 2D Knowledge Graph Embeddings

Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs

Representation Learning for Dynamic Graphs: A Survey

TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting

Temporal Knowledge Graph Forecasting with Neural ODE

Graph Hawkes Neural Network for Forecasting on Temporal Knowledge Graphs

Recurrent Event Network for Reasoning over Temporal Knowledge Graphs.

Graph Hawkes Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs

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


Try several methods for MRI reconstruction on the fastmri dataset. Home to the XPDNet, runner-up of the 2020 fastMRI challenge.

Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction

Benchmarking MRI Reconstruction Neural Networks on Large Public Datasets

Pyramid Convolutional RNN for MRI Image Reconstruction

Joint Frequency and Image Space Learning for MRI Reconstruction and Analysis

XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge

Density Compensated Unrolled Networks for Non-Cartesian MRI Reconstruction

Is good old GRAPPA dead


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


Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval

International Conference on the Theory of Information Retrieval

Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models

Query Embedding Pruning for Dense Retrieval

PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021

On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval

On Single and Multiple Representations in Dense Passage Retrieval

SpaceQA: Answering Questions about the Design of Space Missions and Space Craft Concepts

Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy

Evaluating Temporal Persistence Using Replicability Measures


A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

Вестник компьютерных и информационных технологий

COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images

3D MRI brain tumor segmentation using autoencoder regularization

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation

Med3D: Transfer Learning for 3D Medical Image Analysis

On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task

Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets

FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings


Understand and mitigate software-observable side-channels

Swivel: Hardening WebAssembly against Spectre

Automatic Detection of Speculative Execution Combinations

Dynamic Process Isolation

MAD-EN: Microarchitectural Attack Detection Through System-Wide Energy Consumption


a free python grammar checker ✅

Adaptive and Personalized Exercise Generation for Online Language Learning

Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing

Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks

Classification of Human- and AI-Generated Texts for English, French, German, and Spanish

An Automatic Question Usability Evaluation Toolkit

Ask Language Model to Clean Your Noisy Translation Data


Python package of spatial calibration tools for science & engineering camera systems.

Beryllium global erosion and deposition at JET-ILW simulated with ERO2.0

Quiescence near the X-point of MAST measured by high speed visible imaging

Characterisation of detachment in the MAST-U Super-X divertor using multi-wavelength imaging of 2D atomic and molecular emission processes

Fluctuation characteristics of the TCV snowflake divertor measured with high speed visible imaging

Tomographic reconstruction of the runaway distribution function in TCV using multispectral synchrotron images


A library for Partially Homomorphic Encryption in Python

A Secure Federated Transfer Learning Framework

Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

Secure Federated Matrix Factorization

Preserving privacy in speaker and speech characterisation

Encrypted Control for Networked Systems: An Illustrative Introduction and Current Challenges

Boosting Privately: Privacy-Preserving Federated Extreme Boosting for Mobile Crowdsensing

An Efficient Learning Framework for Federated XGBoost Using Secret Sharing and Distributed Optimization

PIVODL: Privacy-Preserving Vertical Federated Learning Over Distributed Labels

Homomorphic Encryption for Speaker Recognition: Protection of Biometric Templates and Vendor Model Parameters

The Speaker and Language Recognition Workshop (Odyssey 2018)

A Review of Homomorphic Encryption for Privacy-Preserving Biometrics


A Python wrapper for the high-quality vocoder "World"

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

NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers

Any-to-Many Voice Conversion With Location-Relative Sequence-to-Sequence Modeling

InstructTTS: Modelling Expressive TTS in Discrete Latent Space With Natural Language Style Prompt

Audiobox: Unified Audio Generation with Natural Language Prompts

PromptTTS 2: Describing and Generating Voices with Text Prompt

Quasi-Periodic Parallel WaveGAN: A Non-Autoregressive Raw Waveform Generative Model With Pitch-Dependent Dilated Convolution Neural Network

Nonparallel Voice Conversion With Augmented Classifier Star Generative Adversarial Networks

End-to-End Whisper to Natural Speech Conversion using Modified Transformer Network

FlashSpeech: Efficient Zero-Shot Speech Synthesis


Qball (also known as qb@ll) is a first-principles molecular dynamics code that is used to compute the electronic structure of atoms, molecules, solids, and liquids within the Density Functional Theory (DFT) formalism. It is a fork of the Qbox code by Francois Gygi.

Real-Time Exciton Dynamics with Time-Dependent Density-Functional Theory

Electron cascades and secondary electron emission in graphene under energetic ion irradiation


ESP8266 WiFi for OpenEVSE Version 2.x


TriPoll: Computing Surveys of Triangles in Massive-Scale Temporal Graphs with Metadata

Embracing Irregular Parallelism in HPC with YGM

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

Scalable Edge Clustering of Dynamic Graphs via Weighted Line Graphs


PECOS - Prediction for Enormous and Correlated Spaces

Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction

Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification

Extreme Multi-label Learning for Semantic Matching in Product Search

Extreme Zero-Shot Learning for Extreme Text Classification

Efficient Tuning and Inference for Large Language Models on Textual Graphs

Prompt-based Node Feature Extractor for Few-shot Learning on Text-Attributed Graphs

Session-Aware Query Auto-completion using Extreme Multi-Label Ranking

Extreme Multi-Label Classification with Label Masking for Product Attribute Value Extraction

Proceedings of The Fifth Workshop on e-Commerce and NLP (ECNLP 5)

Automated ICD Coding using Extreme Multi-label Long Text Transformer-based Models

A Survey on Extreme Multi-label Learning


DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data

Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles

Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization?


FCC software, common to FCC-hh, -ee, and -eh.

Calorimeters for the FCC-hh

Probing exotic charged Higgs decays in the Type-II 2HDM through top rich signal at a future 100 TeV pp collider

Future Prospects for the Minimal Supersymmetric Standard Model

Higgs assisted razor search for Higgsinos at a 100 TeV pp collider

中国科学. 物理学 力学 天文学

Offline Computing resources for FCC-ee and related challenges


Blue Brain Python Optimisation Library

BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience

Perceptron Learning and Classification in a Modeled Cortical Pyramidal Cell

A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex

The EBRAINS NeuroFeatureExtract: An Online Resource for the Extraction of Neural Activity Features From Electrophysiological Data

The EBRAINS Hodgkin-Huxley Neuron Builder: An online resource for building data-driven neuron models

The NeuroML ecosystem for standardized multi-scale modeling in neuroscience

Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models


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


ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition

Efficient Training of Visual Transformers with Small Datasets

KDEformer: Accelerating Transformers via Kernel Density Estimation

Blending Anti-Aliasing into Vision Transformer

What Makes for Good Tokenizers in Vision Transformer?

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

SBCFormer: Lightweight Network Capable of Full-size ImageNet Classification at 1 FPS on Single Board Computers

Spatial Entropy as an Inductive Bias for Vision Transformers

Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective


disentanglement_lib is an open-source library for research on learning disentangled representations.

Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

Weakly-Supervised Disentanglement Without Compromises

Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

Theory and Evaluation Metrics for Learning Disentangled Representations

Algorithmic fairness datasets: the story so far

Measuring Disentanglement: A Review of Metrics

A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation

Self-Supervised Learning Disentangled Group Representation as Feature

Visual Representation Learning Does Not Generalize Strongly Within the Same Domain

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


Fast, accurate and easy to run dense optical flow with python wrapper

Video Super Resolution Based on Deep Learning: A Comprehensive Survey

Distillation Multiple Choice Learning for Multimodal Action Recognition

Learned Multi-View Texture Super-Resolution

Learned optical flow for intra-operative tracking of the retinal fundus

International journal of computer assisted radiology and surgery


Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling

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

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

A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models

Domain Aligned CLIP for Few-shot Classification

XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding

Findings of the Association for Computational Linguistics: ACL 2023


R package for pre-processing of mass and flow cytometry data

Dynamic CD8+ T cell responses to cancer immunotherapy in human regional lymph nodes are disrupted in metastatic lymph nodes

Immune cell repertoires in breast cancer patients after adjuvant chemotherapy

Comparative immune profiling of acute respiratory distress syndrome patients with or without SARS-CoV-2 infection

In vivo killing of primary HIV-infected cells by peripheral-injected early memory–enriched anti-HIV duoCAR T cells

Mass cytometry reveals a conserved immune trajectory of recovery in hospitalized COVID-19 patients

Data processing workflow for large-scale immune monitoring studies by mass cytometry

Computational and structural biotechnology journal

CytofIn enables integrated analysis of public mass cytometry datasets using generalized anchors

Gestationally-Dependent Immune Organization at the Maternal-Fetal Interface

High-dimensional immunotyping of tumors grown in obese and non-obese mice

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

Frontiers in cellular and infection microbiology


Unified Training of Universal Time Series Forecasting Transformers

Chronos: Learning the Language of Time Series

A Survey on Time-Series Pre-Trained Models

ProbTS: A Unified Toolkit to Probe Deep Time-series Forecasting


Class Activation Mapping

Learning Deep Features for Discriminative Localization

Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine

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

Viraliency: Pooling Local Virality

Class Activation Map Generation by Representative Class Selection and Multi-Layer Feature Fusion

Class Activation Map generation by Multiple Level Class Grouping and Orthogonal Constraint

How explainable are adversarially-robust CNNs?

[Re] Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias


[ACL 2024] LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

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

Never Lost in the Middle: Improving Large Language Models via Attention Strengthening Question Answering

Make Your LLM Fully Utilize the Context

Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks

Are Long-LLMs A Necessity For Long-Context Tasks?

D2O: Dynamic Discriminative Operations for Efficient Generative Inference of Large Language Models

LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference


A metatranscriptomic pipeline optimized for the study of microeukaryotes.

Marine Microeukaryote Metatranscriptomics: Sample Processing and Bioinformatic Workflow Recommendations for Ecological Applications

Reverse engineering environmental metatranscriptomes clarifies best practices for eukaryotic assembly


The codes of paper "Long Text Generation via Adversarial Training with Leaked Information"  on AAAI 2018.  Text generation using GAN and Hierarchical Reinforcement Learning.

Toward Diverse Text Generation with Inverse Reinforcement Learning

Data Augmentation for Modeling Human Personality: The Dexter Machine


[CVPR'19 Oral] Deeper and Wider Siamese Networks for Real-Time Visual Tracking

Deep Residual Learning for Image Recognition

Going Deeper with Convolutions

Ocean: Object-aware Anchor-free Tracking

Scale Equivariance Improves Siamese Tracking


Toolkit for atmospheric characterization of directly imaged exoplanets

MIRACLES: atmospheric characterization of directly imaged planets and substellar companions at 4–5 μm - II. Constraints on the mass and radius of the enshrouded planet PDS 70 b

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

First VLTI/GRAVITY Observations of HIP 65426 b: Evidence for a Low or Moderate Orbital Eccentricity

Searching for low-mass companions at small separations in transition disks with aperture masking interferometry

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

Frontiers in Astronomy and Space Sciences

JWST-TST High Contrast: JWST/NIRCam Observations of the Young Giant Planet β Pic b


Python package and CLI for whole-genome duplication related analyses. **This package is deprecated in favor of** https://github.com/heche-psb/wgd.

wgd—simple command line tools for the analysis of ancient whole-genome duplications

Whole Genome Sequencing of the Pirarucu (Arapaima gigas) Supports Independent Emergence of Major Teleost Clades

Comparative Genomic Analysis and Metabolic Potential Profiling of a Novel Culinary-Medicinal Mushroom, Hericium rajendrae (Basidiomycota)

The First Whole Genome Sequencing of Agaricus bitorquis and Its Metabolite Profiling

Genome-Wide Comparison and Functional Characterization of HMGR Gene Family Associated with Shikonin Biosynthesis in Lithospermum erythrorhizon

International journal of molecular sciences

Building a Reference Transcriptome for the Hexaploid Hard Fescue Turfgrass (Festuca brevipila) Using a Combination of PacBio Isoseq and Illumina Sequencing

Gapless Genome Assembly of Puccinia triticina Provides Insights into Chromosome Evolution in Pucciniales

Genomics and resequencing of Fagopyrum dibotrys from different geographic regions reveals species evolution and genetic diversity


ALFRED - A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones

Modular Networks for Compositional Instruction Following

Interpretable Sequence Classification via Discrete Optimization

Are We There Yet? Learning to Localize in Embodied Instruction Following

Modularity Improves Out-of-Domain Instruction Following.


A Graph Traversal Language (no longer active - see Apache TinkerPop)

G-CORE: A Core for Future Graph Query Languages

Efficient Snapshot Retrieval over Historical Graph Data

Digital Twin and Internet of Things—Current Standards Landscape

NScale: neighborhood-centric large-scale graph analytics in the cloud

Storing and Analyzing Historical Graph Data at Scale

GRAPHiQL: A graph intuitive query language for relational databases

Kaskade: Graph Views for Efficient Graph Analytics

Partitioning Graph Databases - A Quantitative Evaluation

Empowering In-Memory Relational Database Engines with Native Graph Processing

Compact and efficient representation of general graph databases


Mean Field Multi-Agent Reinforcement Learning

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

Diverse Policy Optimization for Structured Action Space


Transfer Learning Library

Contrastive Adaptation Network for Unsupervised Domain Adaptation

Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift

Collaborative Training of Balanced Random Forests for Open Set Domain Adaptation


A fast approximate aligner for long DNA sequences

Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome

A Fast Adaptive Algorithm for Computing Whole-Genome Homology Maps

A Fast Approximate Algorithm for Mapping Long Reads to Large Reference Databases

A highly differentiated region of wheat chromosome 7AL encodes a Pm1a immune receptor that recognizes its corresponding AvrPm1a effector from Blumeria graminis

The complete diploid reference genome of RPE-1 identifies human phased epigenetic landscapes

bioRxiv : the preprint server for biology

G-SAIP: Graphical Sequence Alignment Through Parallel Programming in the Post-Genomic Era


rFIA

rFIA: An R package for estimation of forest attributes with the US Forest Inventory and Analysis database


Calling and Phasing of Single-Nucleotide and Structural Variants of the LDLR Gene Using Oxford Nanopore MinION

ONT long-read WGS for variant discovery and orthogonal confirmation of short read WGS derived genetic variants in clinical genetic testing


R interface to torchvision

Computing a human-like reaction time metric from stable recurrent vision models

NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search


UniSpeech  - Large Scale Self-Supervised Learning for Speech

WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision

UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data

NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and
  Diffusion Models

UniSpeech-SAT: Universal Speech Representation Learning with Speaker Aware Pre-Training

VioLA: Unified Codec Language Models for Speech Recognition, Synthesis, and Translation

SoundStorm: Efficient Parallel Audio Generation

VALL-E 2: Neural Codec Language Models are Human Parity Zero-Shot Text
  to Speech Synthesizers

Self-Supervised Learning for speech recognition with Intermediate layer supervision

CLaM-TTS: Improving Neural Codec Language Model for Zero-Shot
  Text-to-Speech


iMRMC: Software to do multi-reader multi-case analysis of reader studies

Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study

Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study

Validation of mitotic cell quantification via microscopy and multiple whole-slide scanners

Multireader sample size program for diagnostic studies: demonstration and methodology

Journal of medical imaging (Bellingham, Wash.)

Generalized Roe and Metz receiver operating characteristic model: analytic link between simulated decision scores and empirical AUC variances and covariances

Inter- and Intra-Observer Variability and the Effect of Experience in Cine-MRI for Adhesion Detection


Fast & memory efficient hashtable based on robin hood hashing for C++11/14/17/20

REINDEER: efficient indexing of k-mer presence and abundance in sequencing datasets

Using Skip Graphs for Increased NUMA Locality

Engineering Predecessor Data Structures for Dynamic Integer Sets

Fine-Tuning Data Structures for Analytical Query Processing

rNdN: Fast Query Compilation for NVIDIA GPUs

ACM Transactions on Architecture and Code Optimization (TACO)

GraphTango: A Hybrid Representation Format for Efficient Streaming Graph Updates and Analysis


Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness

Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims

The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future Improvements

Social Network Structure as a Predictor of Social Behavior: The Case of Protest in the 2016 US Presidential Election

Prioritizing Policies for Furthering Responsible Artificial Intelligence in the United States


Generic event data model for HEP collider experiments

Key4hep, a framework for future HEP experiments and its use in FCC

EDM4hep and podio - The event data model of the Key4hep project and its implementation

Visualization for physics analysis improvement and applications in BESIII

Offline Computing resources for FCC-ee and related challenges


A Python interface for https://github.com/fplll/fplll

Sparse Recovery With Integrality Constraints

Déjà Vu: Side-Channel Analysis of Mozilla's NSS

Conference on Computer and Communications Security

HyperDegrade: From GHz to MHz Effective CPU Frequencies

Improved attacks on knapsack problem with their variants and a knapsack type ID-scheme

Advances in Mathematics of Communications

Lattice attack on group ring NTRU: The case of the dihedral group


Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'

SimCSE: Simple Contrastive Learning of Sentence Embeddings

Improving Text Embeddings with Large Language Models

Repetition Improves Language Model Embeddings


OCR for DjVu

Kleister: Key Information Extraction Datasets Involving Long Documents with Complex Layouts

Kleister: A novel task for Information Extraction involving Long Documents with Complex Layout

CCpdf: Building a High Quality Corpus for Visually Rich Documents from Web Crawl Data


This repository is meant to host a beta version for the future release of the ConnectomeMapper.

The Frequent Network Neighborhood Mapping of the Human Hippocampus Shows Much More Frequent Neighbor Sets in Males Than in Females

The Frequent Complete Subgraphs in the Human Connectome

Good Neighbors, Bad Neighbors: The Frequent Network Neighborhood Mapping of the Hippocampus Enlightens Several Structural Factors of the Human Intelligence on a 414-Subject Cohort

Identifying Super-Feminine, Super-Masculine and Sex-Defining Connections in the Human Braingraph

The braingraph.org database with more than 1000 robust human connectomes in five resolutions

The braingraph.org Database with more than 1000 Robust Human Structural
  Connectomes in Five Resolutions

Introducing and Applying Newtonian Blurring: An Augmented Dataset of 126,000 Human Connectomes at braingraph.org

Discovering Sex and Age Implicator Edges in the Human Connectome


Code for model proposed in:  Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018

GRIP: Graph-based Interaction-aware Trajectory Prediction

GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous Driving

Predicting Vehicle Behaviors Over An Extended Horizon Using Behavior Interaction Network

SIT: A Spatial Interaction-Aware Transformer-Based Model for Freeway Trajectory Prediction

ISPRS International Journal of Geo-Information

Comparing merging behaviors observed in naturalistic data with behaviors generated by a machine learned model


[TLLM'23] PandaGPT: One Model To Instruction-Follow Them All

Safety of Multimodal Large Language Models on Images and Text

AffectGPT: Dataset and Framework for Explainable Multimodal Emotion
  Recognition


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

Deep Residual Learning for Image Recognition

MobileNetV2: Inverted Residuals and Linear Bottlenecks

IEEE Transactions on Pattern Analysis and Machine Intelligence

You trust a face like yours

Humanities and Social Sciences Communications

Exploring the Interchangeability of CNN Embedding Spaces

Canonical Face Embeddings

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

OTB-morph: One-time Biometrics via Morphing


The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Large-scale Natural Environments


Deep Learning Energy Measurement and Optimization

Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training

Reducing Energy Bloat in Large Model Training

Chasing Low-Carbon Electricity for Practical and Sustainable DNN Training


NLP framework for JVM languages.

Lexicon Integrated CNN Models with Attention for Sentiment Analysis

Character Identification on Multiparty Conversation: Identifying Mentions of Characters in TV Shows

Annual Meeting of the Special Interest Group on Discourse and Dialogue

Classification of Radiology Reports Using Neural Attention Models

Text mining resources for the life sciences

Database : the journal of biological databases and curation

Learning to Recognize Discontiguous Entities

Empirical Methods in Natural Language Processing

SelQA: A New Benchmark for Selection-based Question Answering

Challenging Reading Comprehension on Daily Conversation: Passage Completion on Multiparty Dialog

North American Chapter of the Association for Computational Linguistics

A Challenge Set and Methods for Noun-Verb Ambiguity

QA-It: Classifying Non-Referential It for Question Answer Pairs

Meeting of the Association for Computational Linguistics

Analysis of Wikipedia-based Corpora for Question Answering


Statistically Significant loops from HiChIP data

Identification of significant chromatin contacts from HiChIP data by FitHiChIP

FitHiChIP: Identification of significant chromatin contacts from HiChIP data

Non-Coding Variants in Cancer: Mechanistic Insights and Clinical Potential for Personalized Medicine

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

Protocol to capture transcription factor-mediated 3D chromatin interactions using affinity tag-based BL-HiChIP


RDF2Vec: RDF graph embeddings and their applications

Semantic similarity and machine learning with ontologies

OWL2Vec*: Embedding of OWL Ontologies

The Microsoft Academic Knowledge Graph enhanced: Author name disambiguation, publication classification, and embeddings

pyRDF2Vec: A Python Implementation and Extension of RDF2Vec

Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs

More is not Always Better: The Negative Impact of A-box Materialization on RDF2vec Knowledge Graph Embeddings

Supervised Biomedical Semantic Similarity

Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts

Do Similar Entities have Similar Embeddings?


ATOM3D: tasks on molecules in three dimensions

AI in drug discovery and its clinical relevance

ATOM3D: Tasks On Molecules in Three Dimensions

Pre‐Training of Equivariant Graph Matching Networks with Conformation Flexibility for Drug Binding

Pre-training Protein Models with Molecular Dynamics Simulations for Drug Binding


PartitionFinder discovers optimal partitioning schemes for DNA sequences.

PartitionFinder 2: New Methods for Selecting Partitioned Models of Evolution for Molecular and Morphological Phylogenetic Analyses

Selecting optimal partitioning schemes for phylogenomic datasets

Automatic selection of partitioning schemes for phylogenetic analyses using iterative k-means clustering of site rates

Global radiation in a rare biosphere soil diatom

The First Five Mitochondrial Genomes for the Family Nidulariaceae Reveal Novel Gene Rearrangements, Intron Dynamics, and Phylogeny of Agaricales

Using mitochondrial genomes to infer phylogenetic relationships among the oldest extant winged insects (Palaeoptera)

Three mitochondrial genomes of early-winged insects (Ephemeroptera: Baetidae and Leptophlebiidae)


TPP experimentation on MLIR for linear algebra

High-Performance Deep Learning via a Single Building Block

Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads

Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor Abstractions on CPU Architectures


Tornado cash. Non-custodial private transactions on Ethereum.

SurferMonkey: A Decentralized Anonymous Blockchain Intercommunication System via Zero Knowledge Proofs


A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

Yggdrasil Decision Forests: A Fast and Extensible Decision Forests Library

Generative Trees: Adversarial and Copycat

Generative Forests


Automatic metrics for GEM tasks

Large Language Models Can Be Strong Differentially Private Learners

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment

ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning

MVP: Multi-task Supervised Pre-training for Natural Language Generation

Automatic Construction of Evaluation Suites for Natural Language Generation Datasets

BEAMetrics: A Benchmark for Language Generation Evaluation Evaluation

The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding

ASPIRO: Any-shot Structured Parsing-error-Induced ReprOmpting for Consistent Data-to-Text Generation


A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution


Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard

FlauBERT: Unsupervised Language Model Pre-training for French

IndoLEM and IndoBERT: A Benchmark Dataset and Pre-trained Language Model for Indonesian NLP

Visual Prompt Tuning for Few-Shot Text Classification

International Conference on Computational Linguistics


Software for generating machine-learning interatomic potentials for LAMMPS

Explicit Multielement Extension of the Spectral Neighbor Analysis Potential for Chemically Complex Systems

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

Machine learned interatomic potential for dispersion strengthened plasma facing components.

Dissociating the phononic, magnetic and electronic contributions to thermal conductivity: a computational study in alpha-iron

UV-Visible Absorption Spectra of Solvated Molecules by Quantum Chemical Machine Learning.

Journal of chemical theory and computation

Atomic cluster expansion and wave function representations

Atomic Representations of Local and Global Chemistry in Complex Alloys


A Python library for phylogenetic scripting, simulation, data processing and manipulation.

Towards a synthesis of the Caribbean biogeography of terrestrial arthropods

Conserved Nonexonic Elements: A Novel Class of Marker for Phylogenomics

Targeted NGS for species level phylogenomics: “made to measure” or “one size fits all”?

Vastly underestimated species richness of Amazonian salamanders (Plethodontidae: Bolitoglossa) and implications about plethodontid diversification.

Extensive host-switching of avian feather lice following the Cretaceous-Paleogene mass extinction event

Comparing Life Histories across Taxonomic Groups in Multiple Dimensions: How Mammal-Like Are Insects?

Evolution of Alu Subfamily Structure in the Saimiri Lineage of New World Monkeys

Integrative taxonomy resuscitates two species in the Lasioglossum villosulum complex (Kirby, 1802) (Hymenoptera: Apoidea: Halictidae)

Phylogenetic inference using generative adversarial networks

Cycles of external dependency drive evolution of avian carotenoid networks


Tutorials and programming exercises for learning Q# and quantum computing

SIGCSE - Teaching Quantum Computing through a Practical Software-driven Approach: Experience Report

Technical Symposium on Computer Science Education

Q# as a Quantum Algorithmic Language

Developing Programming Assignments for Teaching Quantum Computing and Quantum Programming

SIGCSE - The Quantum Katas: Learning Quantum Computing using Programming Exercises


Appraise evaluation system for manual evaluation of machine translation output

Findings of the 2016 Conference on Machine Translation

Findings of the 2014 Workshop on Statistical Machine Translation

Findings of the 2019 Conference on Machine Translation (WMT19)

Achieving Human Parity on Automatic Chinese to English News Translation

Findings of the 2018 Conference on Machine Translation (WMT18)

Findings of the 2015 Workshop on Statistical Machine Translation

Ground Truth for Grammatical Error Correction Metrics

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL) AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (IJCNLP), VOL 2

Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation

What Level of Quality can Neural Machine Translation Attain on Literary Text?

A Set of Recommendations for Assessing Human-Machine Parity in Language Translation

Journal of Artificial Intelligence Research


ACL 2022, SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models

Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive Learning

Model-Agnostic Bias Measurement in Link Prediction

Findings of the Association for Computational Linguistics: EACL 2023


3D generation code for MVDream

MVDream: Multi-view Diffusion for 3D Generation

Common Diffusion Noise Schedules and Sample Steps are Flawed

HexaGen3D: StableDiffusion is just one step away from Fast and Diverse Text-to-3D Generation

MicroDreamer: Efficient 3D Generation in ∼20 Seconds by Score-based Iterative Reconstruction


DAG-GNN: DAG Structure Learning with Graph Neural Networks

CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models

Learning Sparse Nonparametric DAGs

DAGs with No Curl: An Efficient DAG Structure Learning Approach

Ordering-Based Causal Discovery with Reinforcement Learning

Learning Neural Causal Models with Active Interventions

Differentiable DAG Sampling

Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere

A Survey on Causal Discovery Methods for I.I.D. and Time Series Data


A Tree-Based Transformer Architecture for Code Generation. (AAAI'20)

A Syntax-Guided Edit Decoder for Neural Program Repair

TreeGen: A Tree-Based Transformer Architecture for Code Generation

OCoR: An Overlapping-Aware Code Retriever

Embedding API dependency graph for neural code generation


Siamese and triplet networks with online pair/triplet mining in PyTorch

FaceNet: A Unified Embedding for Face Recognition and Clustering

In Defense of the Triplet Loss for Person Re-Identification

Class Attention to Regions of Lesion for Imbalanced Medical Image Recognition

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


BioMedICUS: A biomedical and clinical NLP engine.

Social and Behavioral Determinants of Health in the Era of Artificial Intelligence with Electronic Health Records: A Scoping Review

Deep learning approaches for extracting adverse events and indications of dietary supplements from clinical text

Journal of the American Medical Informatics Association : JAMIA

Extracting Lifestyle Factors for Alzheimer's Disease from Clinical Notes Using Deep Learning with Weak Supervision

Named Entity Recognition in Prehospital Trauma Care

World Congress on Medical and Health Informatics, Medinfo

Usability Evaluation of an Unstructured Clinical Document Query Tool for Researchers.


Fusion-in-Decoder

Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

Improving language models by retrieving from trillions of tokens

Distilling Knowledge from Reader to Retriever for Question Answering

On the Risk of Misinformation Pollution with Large Language Models

A Dataset for Answering Time-Sensitive Questions

Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence

A Memory Efficient Baseline for Open Domain Question Answering

Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks

Conversational Question Answering on Heterogeneous Sources

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


A Model for Natural Language Attack on Text Classification and Inference

Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment

BERT-ATTACK: Adversarial Attack Against BERT Using BERT

Contextualized Perturbation for Textual Adversarial Attack

Towards a Robust Deep Neural Network in Texts: A Survey

Token-Aware Virtual Adversarial Training in Natural Language Understanding

Defending Pre-trained Language Models from Adversarial Word Substitution Without Performance Sacrifice

Adversarial Stylometry in the Wild: Transferable Lexical Substitution Attacks on Author Profiling

Authorship Obfuscation in Multilingual Machine-Generated Text Detection

Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations

Adversarial Robustness of Visual Dialog


Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.

Universal Masking is Urgent in the COVID-19 Pandemic: SEIR and Agent Based Models, Empirical Validation, Policy Recommendations

Adaptive cyclic exit strategies from lockdown to suppress COVID-19 and allow economic activity

A social network model of COVID-19

Structural Identifiability and Observability of Compartmental Models of the COVID-19 Pandemic

Analysis of mobility data to build contact networks for COVID-19

A Two-Phase Stochastic Dynamic Model for COVID-19 Mid-Term Policy Recommendations in Greece: A Pathway towards Mass Vaccination

Assessing the Interplay between travel patterns and SARS-CoV-2 outbreak in realistic urban setting

Optimizing testing policies for detecting COVID-19 outbreaks

Fizzle Testing: An Equation Utilizing Random Surveillance to Help Reduce COVID-19 Risks

Mathematical and Computational Applications

Estimating Brazilian states’ demands for intensive care unit and clinical hospital beds during the COVID-19 pandemic: development of a predictive model

Sao Paulo medical journal = Revista paulista de medicina


DEPICT code, instructions and an example

Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals

A molecular census of arcuate hypothalamus and median eminence cell types

Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank data

Genome-wide association analysis of 19,629 individuals identifies variants influencing regional brain volumes and refines their genetic co-architecture with cognitive and mental health traits

A joint view on genetic variants for adiposity differentiates subtypes with distinct metabolic implications

Multi-trait analysis characterizes the genetics of thyroid function and identifies causal associations with clinical implications

Genome-wide association study of thyroid-stimulating hormone highlights new genes, pathways and associations with thyroid disease


WGBS/NOMe-seq Data Processing & Differential Methylation Analysis

Comparative cellular analysis of motor cortex in human, marmoset and mouse

A unique role for DNA (hydroxy)methylation in epigenetic regulation of human inhibitory neurons

Spatiotemporal DNA methylome dynamics of the developing mouse fetus

OGT binds a conserved C-terminal domain of TET1 to regulate TET1 activity and function in development

Active DNA demethylation regulates tracheary element differentiation in Arabidopsis

Human Immune Cell Epigenomic Signatures in Response to Infectious Diseases and Chemical Exposures

bioRxiv : the preprint server for biology


iCount, protein-RNA interaction analytics

Cross-Regulation between TDP-43 and Paraspeckles Promotes Pluripotency-Differentiation Transition

G-tract RNA removes Polycomb repressive complex 2 from genes

FICC-Seq: a method for enzyme-specified profiling of methyl-5-uridine in cellular RNA

SRSF3 and SRSF7 modulate 3′UTR length through suppression or activation of proximal polyadenylation sites and regulation of CFIm levels

CDK11 is required for transcription of replication-dependent histone genes

Charting DENR-dependent translation reinitiation uncovers predictive uORF features and links to circadian timekeeping via Clock

ORC1 binds tocis-transcribed RNAs for efficient activation of replication origins

clipplotr - a comparative visualisation and analysis tool for CLIP data

Loss of TDP-43 causes ectopic endothelial sprouting and migration defects through increased fibronectin, vcam 1 and integrin α4/β1

Frontiers in cell and developmental biology

Interrogation of RNA-protein interaction dynamics in bacterial growth


Learning Sparse Nonparametric DAGs

Causal Discovery with Reinforcement Learning

On the Role of Sparsity and DAG Constraints for Learning Linear DAGs

DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks

DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization

DAGs with No Curl: An Efficient DAG Structure Learning Approach

On Low Rank Directed Acyclic Graphs and Causal Structure Learning

A Survey on Causal Discovery Methods for I.I.D. and Time Series Data

Structure learning in polynomial time: Greedy algorithms, Bregman information, and exponential families

Efficient Bayesian network structure learning via local Markov boundary search


The versatile ocean simulator, in pure Python, powered by JAX.

Veros v0.1 – a fast and versatile ocean simulator in pure Python

Fast, Cheap, and Turbulent—Global Ocean Modeling With GPU Acceleration in Python

Journal of Advances in Modeling Earth Systems

Ice core evidence for major volcanic eruptions at the onset of Dansgaard-Oeschger warming events

Differentiable Physics: A Position Piece


Annotate quickly images.

Surgical Data Science -- from Concepts toward Clinical Translation

Deep Placental Vessel Segmentation for Fetoscopic Mosaicking

Medical Image Computing and Computer-Assisted Intervention

Affordance-Based Grasping Point Detection Using Graph Convolutional Networks for Industrial Bin-Picking Applications

Serial cryoFIB/SEM Reveals Cytoarchitectural Disruptions in Leigh Syndrome Patient Cells

Artificial Intelligence-Driven Image Analysis of Bacterial Cells and Biofilms

Pavement Distress Detection and Segmentation using YOLOv4 and DeepLabv3 on Pavements in the Philippines

Evaluation of Open-Source and Pre-Trained Deep Convolutional Neural Networks Suitable for Player Detection and Motion Analysis in Squash

Behind-The-Scenes (BTS): Wiper-Occlusion Canceling for Advanced Driver Assistance Systems in Adverse Rain Environments

Methods for the frugal labeler: Multi-class semantic segmentation on heterogeneous labels

Improving Robot Perception Skills Using a Fast Image-Labelling Method with Minimal Human Intervention


Tools to analyze and manipulate climate (spatiotemporal) data. Also used by ClimateTools and ClimatePlots


Creative Commons Attribution 4.0 International

Name Reaction Ontology

Linking the Neural Machine Translation and the Prediction of Organic Chemistry Reactions

Inferring Experimental Procedures from Text-Based Representations of Chemical Reactions

NFDI4Chem - Towards a National Research Data Infrastructure for Chemistry in Germany

Bio-SimVerb and Bio-SimLex: wide-coverage evaluation sets of word similarity in biomedicine

Overview of chemical ontologies


An R package containing the functions for the Open Bodem Index (OBI)

An Open Soil Health Assessment Framework Facilitating Sustainable Soil Management


Sentinel-2 for Agriculture (Sen2Agri) is a software system processing high resolution satellite images for agricultural purposes funded by ESA (European Space Agency). Please register on the Sen2Agri webpage for Sen2Agri system updates and information.


Axion field evolution around QCD

Early seeds of axion miniclusters

Journal of Cosmology and Astroparticle Physics

Simulations of axionlike particles in the postinflationary scenario

Structure of axion miniclusters

Axion minivoids and implications for direct detection

Spectrum of global string networks and the axion dark matter mass

Cosmology of axion dark matter

Miniclusters from axion string simulations


An Unsteady Actuator Line Solver to Enable Adjoint Sensitivity Studies for Wake Steering

SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2020), PTS 1-5


Library for Model Based RL

Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models

MBRL-Lib: A Modular Library for Model-based Reinforcement Learning

Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning

Simplified Temporal Consistency Reinforcement Learning

Model-Advantage and Value-Aware Models for Model-Based Reinforcement Learning: Bridging the Gap in Theory and Practice


ruptures: change point detection in Python

Comprehensive Process Drift Detection with Visual Analytics

Visual Drift Detection for Event Sequence Data of Business Processes

IEEE transactions on visualization and computer graphics

Sudden Attention Shifts on Wikipedia During the COVID-19 Crisis

Sudden Attention Shifts on Wikipedia Following COVID-19 Mobility Restrictions

Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data

Smoothing Splines for Discontinuous Signals

Symbolic Music Structure Analysis with Graph Representations and Changepoint Detection Methods

Tonal harmony, the topology of dynamical score networks and the Chinese postman problem

Estimation and Interpretation of Machine Learning Models with Customized Surrogate Model

AmicroN: A Framework for Generating Annotations for Human Activity Recognition with Granular Micro-Activities


PySwip is a Python-Prolog interface that enables querying SWI-Prolog in your Python programs.

Prolog-based agnostic explanation module for structured pattern classification

Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs

Generating Data for Symbolic Language with Large Language Models

Interactive Text Graph Mining with a Prolog-Based Dialog Engine

Theory and Practice of Logic Programming

Automated benchmark network diversification for realistic attack simulation with application to moving target defense

International Journal of Information Security

Dependency-based Text Graphs for Keyphrase and Summary Extraction with Applications to Interactive Content Retrieval

A Computational Model of the Institutional Analysis and Development Framework

Arithmetic Reasoning with LLM: Prolog Generation & Permutation

Enabling Game-Theoretical Analysis of Social Rules

International Conference of the Catalan Association for Artificial Intelligence


Electrophys Feature Extraction Library

BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience

The physiological variability of channel density in hippocampal CA1 pyramidal cells and interneurons explored using a unified data-driven modeling workflow

Human Cortical Pyramidal Neurons: From Spines to Spikes via Models

The microcircuits of striatum in silico

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

Parameter tuning differentiates granule cell subtypes enriching transmission properties at the cerebellum input stage

Single Neuron Optimization as a Basis for Accurate Biophysical Modeling: The Case of Cerebellar Granule Cells

Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons

Combining hypothesis- and data-driven neuroscience modeling in FAIR workflows

Cerebellar Golgi cell models predict dendritic processing and mechanisms of synaptic plasticity

Thalamic control of sensory processing and spindles in a biophysical somatosensory thalamoreticular circuit model of wakefulness and sleep


[CVPR 2022] StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

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

Temporal Generative Adversarial Nets with Singular Value Clipping

SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models

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

MoStGAN-V: Video Generation with Temporal Motion Styles

MOSO: Decomposing MOtion, Scene and Object for Video Prediction

iVideoGPT: Interactive VideoGPTs are Scalable World Models

IRASim: Learning Interactive Real-Robot Action Simulators

ViD-GPT: Introducing GPT-style Autoregressive Generation in Video Diffusion Models


Programs for producing static and dynamic (runtime) call graphs for Java programs

Parameter-Free Probabilistic API Mining across GitHub

Interactive, Effort-Aware Library Version Harmonization

Adding Context to Source Code Representations for Deep Learning

A comparative study of application-level caching recommendations at the method level

Change Impact Analysis Based Regression Testing of Web Services

Exploiting Library Vulnerability via Migration Based Automating Test Generation

JEMMA: An Extensible Java Dataset for ML4Code Applications

An Intra-Class Relation Guided Approach for Code Comment Generation


Image Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018

Controllable and Progressive Image Extrapolation

Iterative facial image inpainting based on an encoder-generator architecture

Toward Open-World Multimedia Forensics Through Media Signature Encoding


Annotation and Ranking of Structural Variation

Long-read sequencing unveils high-resolution HPV integration and its oncogenic progression in cervical cancer

StrVCTVRE: A supervised learning method to predict the pathogenicity of human genome structural variants

The AnnotSV webserver in 2023: updated visualization and ranking

High-depth whole-genome sequencing identifies structure variants, copy number variants and short tandem repeats associated with Parkinson’s disease


Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)

Proceedings of the Eighteenth Conference on Computational Natural Language Learning: Shared Task

The Association for Computational Linguistics

GECToR -- Grammatical Error Correction: Tag, Not Rewrite

LM-Critic: Language Models for Unsupervised Grammatical Error Correction

Text Simplification by Tagging

Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error Correction

Zero-shot Commonsense Question Answering with Cloze Translation and Consistency Optimization

Frustratingly Easy System Combination for Grammatical Error Correction

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

BERT Enhanced Neural Machine Translation and Sequence Tagging Model for Chinese Grammatical Error Diagnosis

TemplateGEC: Improving Grammatical Error Correction with Detection Template

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

Type-Driven Multi-Turn Corrections for Grammatical Error Correction


PHYRE is a benchmark for physical reasoning.

PHYRE: A New Benchmark for Physical Reasoning

ESPRIT: Explaining Solutions to Physical Reasoning Tasks

Solving Physics Puzzles by Reasoning about Paths


TIMES-Ireland Model (TIM)

TIM: Modelling pathways to meet Ireland’s long-term energy system challenges with the TIMES-Ireland Model (v1.0)


Code for "High-Precision Model-Agnostic Explanations" paper

Local Rule-Based Explanations of Black Box Decision Systems

Explainable AI Methods - A Brief Overview

Towards Faithful Model Explanation in NLP: A Survey

Exploring the Chemical Space of Urease Inhibitors to Extract Meaningful Trends and Drivers of Activity

Journal of chemical information and modeling

An Investigation of Interpretability Techniques for Deep Learning in Predictive Process Analytics

Interpretable Regional Descriptors: Hyperbox-Based Local Explanations

A Sea of Words: An In-Depth Analysis of Anchors for Text Data

The Right Tool for the Job: Open-Source Auditing Tools in Machine Learning

Faithful and Robust Local Interpretability for Textual Predictions

ExMo: Explainable AI Model using Inverse Frequency Decision Rules


PyTorch implementation of SLAYER for training Spiking Neural Networks

SLAYER: Spike Layer Error Reassignment in Time

Event-Based Angular Velocity Regression with Spiking Networks

NxTF: An API and Compiler for Deep Spiking Neural Networks on Intel Loihi

Online Few-shot Gesture Learning on a Neuromorphic Processor

Axonal Delay as a Short-Term Memory for Feed Forward Deep Spiking Neural Networks

Event-Driven Tactile Learning with Location Spiking Neurons

SpikePropamine: Differentiable Plasticity in Spiking Neural Networks


TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

COVID-19 Image Data Collection: Prospective Predictions Are the Future

Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning

On the limits of cross-domain generalization in automated X-ray prediction

Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains

Medical Image Captioning via Generative Pretrained Transformers

Saliency is a Possible Red Herring When Diagnosing Poor Generalization

Effect of pre-training scale on intra- and inter-domain, full and few-shot transfer learning for natural and X-Ray chest images

QIAI at MEDIQA 2021: Multimodal Radiology Report Summarization

Workshop on Biomedical Natural Language Processing

LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation


Flood Risk modelling toolbox for Canada


Simple text to phones converter for multiple languages

Unsupervised Speech Recognition

End-to-End Adversarial Text-to-Speech

UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation

UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data

SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model

DeepSinger: Singing Voice Synthesis with Data Mined From the Web

Towards End-to-end Unsupervised Speech Recognition

Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech with Untranscribed Data

Denoising Text to Speech with Frame-Level Noise Modeling

ALICE: An open-source tool for automatic measurement of phoneme, syllable, and word counts from child-centered daylong recordings


This library provides common speech features for ASR including MFCCs and filterbank energies.

Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification

Deep Room Recognition Using Inaudible Echos

Chromas from chromatin: sonification of the epigenome

Acoustical Classification of the Urban Road Traffic with Large Arrays of Microphones


Deep Learning for IACT Event Reconstruction

Investigating a Deep Learning Method to Analyze Images from Multiple Gamma-ray Telescopes

2019 New York Scientific Data Summit (NYSDS)

Reconstruction of stereoscopic CTA events using deep learning with CTLearn

Reconstruction of IACT events using deep learning techniques with CTLearn

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

Deep-learning-driven event reconstruction applied to simulated data from a single Large-Sized Telescope of CTA

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

A Large-Scale Study of ML-Related Python Projects


A package for the analysis of 1d astronomical spectra, especially quasar and galaxy spectra.

Deep learning of quasar spectra to discover and characterize damped Lyα systems

Monthly Notices of the Royal Astronomical Society

CGM 2 I: The Extent of the Circumgalactic Medium Traced by Neutral Hydrogen

HST/COS OBSERVATIONS OF IONIZED GAS ACCRETION AT THE DISK-HALO INTERFACE OF M33

Zenodo (CERN European Organization for Nuclear Research)

Molecular Emission from a Galaxy Associated with a z ∼ 2.2 Damped Lyα Absorber

Revealing the Milky Way’s Hidden Circumgalactic Medium with the Cosmic Origins Spectrograph Quasar Database for Galactic Absorption Lines

MUSE Analysis of Gas around Galaxies (MAGG) – IV: The gaseous environment of z∼ 3-4 Lyman-alpha emitting galaxies

Galactic Gas Flows from Halo to Disk: Tomography and Kinematics at the Milky Way's Disk-Halo Interface

A Long Stream of Metal-poor Cool Gas around a Massive Starburst Galaxy at z = 2.67

The CGM-GRB Study. I. Uncovering the Circumgalactic Medium around GRB Hosts at Redshifts 2-6

A VLT/FORS2 Narrowband Imaging Search for Mg ii Emission around z ∼ 0.7 Galaxies


PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.

Implicit Neural Representations with Periodic Activation Functions

Fourier Neural Operator for Parametric Partial Differential Equations

Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators

Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations

Gradient Surgery for Multi-Task Learning

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

Skillful Precipitation Nowcasting using Deep Generative Models of Radar

FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Data-Driven Synthesis of Smoke Flows with CNN-based Feature Descriptors

Physics-informed neural networks with hard constraints for inverse design


Memkind is an easy-to-use, general-purpose allocator which helps to fully utilize various kinds of memory available in the system, including DRAM, NVDIMM, and HBM

Empirical Performance Analysis of Collective Communication for Distributed Deep Learning in a Many-Core CPU Environment

Analysis and Optimization of GNN-Based Recommender Systems on Persistent Memory


MinIO is a high-performance, S3 compatible object store, open sourced under GNU AGPLv3 license.

Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates

Symposium on Operating Systems Principles

Deep Lake: a Lakehouse for Deep Learning

Hyper: Distributed Cloud Processing for Large-Scale Deep Learning Tasks

minimo: a linked data and metadata storage system for small labs

Patterns of multi-container composition for service orchestration with Docker Compose

Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP)

International Conference on Cognitive Machine Intelligence


Actor-based Communication via Reaction-Diffusion. A molecular communication simulator. Simulates stochastic reaction-diffusion systems.

Simulating with AcCoRD: Actor-based Communication via Reaction-Diffusion

Active versus Passive: Receiver Model Transforms for Diffusive Molecular Communication

3D Stochastic Geometry Model for Large-Scale Molecular Communication Systems


The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

Score-based Generative Modeling in Latent Space

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

VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models

The ArtBench Dataset: Benchmarking Generative Models with Artworks

MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining

Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations

Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve

Alleviating Adversarial Attacks on Variational Autoencoders with MCMC

A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs


This is the open source implementation of the ICLR2022 paper "StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis"

BallGAN: 3D-aware Image Synthesis with a Spherical Background

OrthoPlanes: A Novel Representation for Better 3D-Awareness of GANs

WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space

Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase


Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)

Explanation-Guided Training for Cross-Domain Few-Shot Classification

Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations

Meta-Learning with Self-Improving Momentum Target

Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification

Modular Adaptation for Cross-Domain Few-Shot Learning


ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Artificial Intelligence in Drug Discovery: Applications and Techniques

Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review

Research on Traditional Mongolian-Chinese Neural Machine Translation Based on Dependency Syntactic Information and Transformer Model

Convolutional Neural Networks and Volcano Plots: Screening and
  Prediction of Two-Dimensional Single-Atom Catalysts


Dilated Residual Networks

Dilated Residual Networks

Expert-level detection of acute intracranial hemorrhage on head computed tomography using deep learning

The Spatially-Correlative Loss for Various Image Translation Tasks

Efficient Semantic Image Synthesis via Class-Adaptive Normalization

Iris Recognition with Image Segmentation Employing Retrained Off-the-Shelf Deep Neural Networks

Indirect Local Attacks for Context-aware Semantic Segmentation Networks

DNN-Driven Compressive Offloading for Edge-Assisted Semantic Video Segmentation

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

Towards General and Efficient Active Learning

Multiple Pathways: The Influence Mechanism of Greenspace Exposure on Mental Health—A Case Study of Hangzhou, China


Official code for Modeling the Background for Incremental Learning in Semantic Segmentation https://arxiv.org/abs/2002.00718

PLOP: Learning without Forgetting for Continual Semantic Segmentation

Learning Incrementally to Segment Multiple Organs in a CT Image

Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation

IEEE transactions on pattern analysis and machine intelligence

Causes of Catastrophic Forgetting in Class-Incremental Semantic Segmentation


Repo for Chinese Medical ChatGLM 基于中文医学知识的ChatGLM指令微调

Instruction Tuning for Large Language Models: A Survey

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

HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs

Evaluating Large Language Models for Radiology Natural Language Processing

AI Hospital: Interactive Evaluation and Collaboration of LLMs as Intern
  Doctors for Clinical Diagnosis

MedChatZH: a Better Medical Adviser Learns from Better Instructions

A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions

A Survey on Large Language Models from General Purpose to Medical Applications: Datasets, Methodologies, and Evaluations

The current status of large language models in summarizing radiology
  report impressions


RFMIX - Local Ancestry and Admixture Inference Version 2

Fine-scale genomic analyses of admixed individuals reveal unrecognized genetic ancestry components in Argentina

The Quest for Genes Involved in Adaptation to Climate Change in Ruminant Livestock

Animals : an open access journal from MDPI

Genotyping, sequencing and analysis of 140,000 adults from Mexico City

T2T-YAO: A Telomere-to-telomere Assembled Diploid Reference Genome for Han Chinese

基因组蛋白质组与生物信息学报

The genetic history of Greenlandic-European contact

Profiling the Somatic Mutational Landscape of Breast Tumors from Hispanic/Latina Women Reveals Conserved and Unique Characteristics

Multi-ancestry genetic analysis of gene regulation in coronary arteries prioritizes disease risk loci

Genome-wide variation in the Angolan Namib Desert reveals unique pre-Bantu ancestry

Analytical protocol to identify local ancestry-associated molecular features in cancer


Data imputations library to preprocess datasets with missing data

RDIS: Random Drop Imputation With Self-Training for Incomplete Time Series Data

Deep Learning for Multivariate Time Series Imputation: A Survey

FragmGAN: generative adversarial nets for fragmentary data imputation and prediction


Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

Cyclical Learning Rates for Training Neural Networks

Convolutional Neural Networks for Image-Based High-Throughput Plant Phenotyping: A Review

Memory-Efficient Implementation of DenseNets

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

Deep Expander Networks: Efficient Deep Networks from Graph Theory

Automatic Sparse Connectivity Learning for Neural Networks

Log-DenseNet: How to Sparsify a DenseNet

Osteolysis: A Literature Review of Basic Science and Potential Computer-Based Image Processing Detection Methods

Computational intelligence and neuroscience

A new dataset of dog breed images and a benchmark for finegrained classification


CLIP-like model evaluation

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

LiT: Zero-Shot Transfer with Locked-image text Tuning

Scaling Language-Image Pre-training via Masking

What does a platypus look like? Generating customized prompts for zero-shot image classification

AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities

CiT: Curation in Training for Effective Vision-Language Data

NLLB-CLIP -- train performant multilingual image retrieval model on a budget

LOVM: Language-Only Vision Model Selection

Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations

A Framework for Efficient Model Evaluation through Stratification,
  Sampling, and Estimation


Datasets of daily time-series data related to COVID-19 for over 20,000 distinct locations around the world.

Predicting COVID-19 Spread from Large-Scale Mobility Data

Satellite data and machine learning reveal a significant correlation between NO2 and COVID-19 mortality

Google COVID-19 Vaccination Search Insights: Anonymization Process Description

Differentiable and Scalable Generative Adversarial Models for Data Imputation

The Variations of SIkJalpha Model for COVID-19 Forecasting and Scenario Projections

COVID-19 Open-Data a global-scale spatially granular meta-dataset for coronavirus disease

PAN-cODE: COVID-19 forecasting using conditional latent ODEs

Journal of the American Medical Informatics Association : JAMIA

The EpiBench Platform to Propel AI/ML-based Epidemic Forecasting: A Prototype Demonstration Reaching Human Expert-level Performance


Metric learning and retrieval pipelines, models and zoo.

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

Learning Transferable Visual Models From Natural Language Supervision

Emerging Properties in Self-Supervised Vision Transformers

In Defense of the Triplet Loss for Person Re-Identification

Improved Baselines with Momentum Contrastive Learning

DINOv2: Learning Robust Visual Features without Supervision

Cross-Batch Memory for Embedding Learning

Hyperbolic Vision Transformers: Combining Improvements in Metric Learning

Unicom: Universal and Compact Representation Learning for Image Retrieval

STIR: Siamese Transformer for Image Retrieval Postprocessing


A full spaCy pipeline and models for scientific/biomedical documents.

SciBERT: A Pretrained Language Model for Scientific Text

ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing

SIGBIOMED WORKSHOP ON BIOMEDICAL NATURAL LANGUAGE PROCESSING (BIONLP 2019)

Annotating and Extracting Synthesis Process of All-Solid-State Batteries from Scientific Literature

CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications

Named Entities in Medical Case Reports: Corpus and Experiments

Rethinking Document-Level Relation Extraction: A Reality Check

Simple Questions Generate Named Entity Recognition Datasets

Identify Novel Elements of Knowledge with Word Embedding

The InsightsNet Climate Change Corpus (ICCC)

Datenbanksysteme für Business, Technologie und Web

Clinical concept recognition: Evaluation of existing systems on EHRs


Benchmark datasets, data loaders, and evaluators for graph machine learning

Open Graph Benchmark: Datasets for Machine Learning on Graphs

Do Transformers Really Perform Bad for Graph Representation?

SIGN: Scalable Inception Graph Neural Networks

OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning

IEEE transactions on neural networks and learning systems

Weisfeiler and Lehman Go Cellular: CW Networks

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs

G-Mixup: Graph Data Augmentation for Graph Classification

Rethinking pooling in graph neural networks

Local Augmentation for Graph Neural Networks


NVIDIA Federated Learning Application Runtime Environment

NVIDIA FLARE: Federated Learning from Simulation to Real-World

Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation

Scalable federated machine learning with FEDn

Adaptive Aggregation For Federated Learning

Just-in-Time Aggregation for Federated Learning

ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data

Empowering Federated Learning for Massive Models with NVIDIA FLARE

Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology


Simons Stellarator Optimizer Code

Modeling of energetic particle transport in optimized stellarators

Combined plasma-coil optimization algorithms

Direct computation of magnetic surfaces in Boozer coordinates and coil optimization for quasisymmetry

The magnetic gradient scale length explains why certain plasmas require close external magnetic coils

Direct stellarator coil optimization for nested magnetic surfaces with precise quasi-symmetry

Meta variance reduction for Monte Carlo estimation of energetic particle confinement during stellarator optimization