Evaluation code for various unsupervised automated metrics for Natural Language Generation.

UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation.

Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language Generation

Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation

Knowledge-Grounded Dialogue Generation with Pre-trained Language Models

Towards Emotional Support Dialog Systems

Low-Resource Knowledge-Grounded Dialogue Generation

CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation

Contrastive Learning with Adversarial Perturbations for Conditional Text
  Generation

TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts

GraDA: Graph Generative Data Augmentation for Commonsense Reasoning

Proceedings of the 2nd Workshop on Deep Learning on Graphs for Natural Language Processing (DLG4NLP 2022)


light-curve feature extraction library for Python

The Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae

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


Very Deep Convolutional Networks for Large-Scale Image Recognition

DeepCorrect: Correcting DNN models against Image Distortions

Batch Normalization Embeddings for Deep Domain Generalization

Understanding More About Human and Machine Attention in Deep Neural Networks

Similarities and differences between stimulus tuning in the inferotemporal visual cortex and convolutional networks

Do Humans and Deep Convolutional Neural Networks Use Visual Information Similarly for the Categorization of Natural Scenes?

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

Neural Networks Regularization Through Representation Learning


Pedestrian simulator powered by the social force model

Core Challenges of Social Robot Navigation: A Survey

SOCIALGYM: A Framework for Benchmarking Social Robot Navigation

Human-Aware Navigation Planner for Diverse Human-Robot Contexts.

Non-Holonomic RRT & MPC: Path and Trajectory Planning for an Autonomous
  Cycle Rickshaw

ROS-Causal: A ROS-based Causal Analysis Framework for Human-Robot Interaction Applications


We are building an open database of COVID-19 cases with chest X-ray or CT images.

Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks

Physical and engineering sciences in medicine

Can AI Help in Screening Viral and COVID-19 Pneumonia?

CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images

Computer methods and programs in biomedicine

COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images

COVID-19 Image Data Collection

Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep
  Transfer Learning

Deep Learning COVID-19 Features on CXR using Limited Training Data Sets

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

The journal of machine learning for biomedical imaging

U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications

CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection

IEEE access : practical innovations, open solutions


Performance-portable geometric search library

ArborX: A Performance Portable Geometric Search Library

Simulating Hydrodynamics in Cosmology with CRK-HACC

Fast tree-based algorithms for DBSCAN for low-dimensional data on GPUs

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


MMSA is a unified framework for Multimodal Sentiment Analysis.

Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis

CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of Modality

Video Sentiment Analysis with Bimodal Information-augmented Multi-Head Attention

M-SENA: An Integrated Platform for Multimodal Sentiment Analysis

On the Use of Modality-Specific Large-Scale Pre-Trained Encoders for Multimodal Sentiment Analysis

Towards Multimodal Prediction of Spontaneous Humour: A Novel Dataset and
  First Results

Robust Multimodal Learning with Missing Modalities via
  Parameter-Efficient Adaptation

ConFEDE: Contrastive Feature Decomposition for Multimodal Sentiment Analysis

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


Extensive de-novo TE Annotator

Benchmarking transposable element annotation methods for creation of a streamlined, comprehensive pipeline

A platinum standard pan-genome resource that represents the population structure of Asian rice

The 3D architecture of the pepper genome and its relationship to function and evolution

Blueprint for Phasing and Assembling the Genomes of Heterozygous Polyploids: Application to the Octoploid Genome of Strawberry

Identification of key tissue-specific, biological processes by integrating enhancer information in maize gene regulatory networks

A multi-omic Nicotiana benthamiana resource for fundamental research and biotechnology

Genome-Wide Analysis of Long Non-coding RNAs Involved in Nodule Senescence in Medicago truncatula

SoyMD: a platform combining multi-omics data with various tools for soybean research and breeding

A first draft genome of holm oak (Quercus ilex subsp. ballota), the most representative species of the Mediterranean forest and the Spanish agrosylvopastoral ecosystem “dehesa”

The structure of the tetraploid sour cherry ‘Schattenmorelle’ (Prunus cerasus L.) genome reveals insights into its segmental allopolyploid nature


Auton Survival -  an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events

Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks

Deep Cox Mixtures for Survival Regression

Counterfactual Phenotyping with Censored Time-to-Events

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

auton-survival: an Open-Source Package for Regression, Counterfactual
  Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data

Neural Fine-Gray: Monotonic neural networks for competing risks


Port of Google's language-detection library to Python.

Reformulating Unsupervised Style Transfer as Paraphrase Generation

CODA-19: Using a Non-Expert Crowd to Annotate Research Aspects on 10,000+ Abstracts in the COVID-19 Open Research Dataset

Mapping Languages: The Corpus of Global Language Use

Abusive content detection in transliterated Bengali-English social media corpus

Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching

Language Tags Matter for Zero-Shot Neural Machine Translation

A Large Parallel Corpus of Full-Text Scientific Articles

Exploring Media Bias and Toxicity in South Asian Political Discourse

The Geography of Taste: Using Yelp to Study Urban Culture

ISPRS international journal of geo-information

Toward Best Practices for Training Multilingual Dense Retrieval Models

Language Models are Good Translators


PyTorch implementations of Generative Adversarial Networks.

Generative Adversarial Networks

Image-to-Image Translation with Conditional Adversarial Networks

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

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Wasserstein GAN

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

Improved Training of Wasserstein GANs

On the Effectiveness of Least Squares Generative Adversarial Networks

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation


A collection of astronomy-related routines in Python

CHARACTERIZING K2 PLANET DISCOVERIES: A SUPER-EARTH TRANSITING THE BRIGHT K DWARF HIP 116454

Magnetic Inflation and Stellar Mass. II. On the Radii of Single, Rapidly Rotating, Fully Convective M-Dwarf Stars

Sizes and Kinematics of Extended Narrow-line Regions in Luminous Obscured AGN Selected by Broadband Images

Rotation of cometary nuclei: new light curves and an update of the ensemble properties of Jupiter-family comets

Monthly notices of the Royal Astronomical Society

On the detection of Exomoons

Deciphering the atmosphere of HAT-P-12b: solving discrepant results

The GAPS programme at TNG

Kepler Object of Interest Network II. Photodynamical modelling of Kepler-9 over 8 years of transit observations

Swift UVOT near-UV transit observations of WASP-121 b

An HST/STIS Optical Transmission Spectrum of Warm Neptune GJ 436b


Seawater carbonate chemistry with R


A fast, two-steps algorithm for the automated discovery and management of declarative business process constraints

Resolving inconsistencies and redundancies in declarative process models

Comprehensive Process Drift Detection with Visual Analytics

QRFA: A Data-Driven Model of Information-Seeking Dialogues

Visual Drift Detection for Event Sequence Data of Business Processes

IEEE transactions on visualization and computer graphics

Knowledge-based Conversational Search


A curated list of resources dedicated to reinforcement learning applied to cyber security.

Optimal Defense Policies for Partially Observable Spreading Processes on Bayesian Attack Graphs

Proceedings of the Second ACM Workshop on Moving Target Defense

Power control with reinforcement learning in cooperative cognitive radio networks against jamming

The Journal of supercomputing/Journal of supercomputing

Dynamic Scheduling of Cybersecurity Analysts for Minimizing Risk Using Reinforcement Learning

ACM transactions on intelligent systems and technology

Adaptive Honeypot Engagement through Reinforcement Learning of Semi-Markov Decision Processes

Reinforcement Learning Algorithms for Adaptive Cyber Defense against Heartbleed

Enhancing Machine Learning Based Malware Detection Model by Reinforcement Learning

Proceedings of the 8th International Conference on Communication and Network Security

Detecting Stealthy Botnets in a Resource-Constrained Environment using Reinforcement Learning

Proceedings of the 2017 Workshop on Moving Target Defense

Adaptive Cyber Defense Against Multi-Stage Attacks Using Learning-Based POMDP

ACM transactions on privacy and security

Reinforcement Learning for the Problem of Detecting Intrusion in a Computer System

Proceedings of Sixth International Congress on Information and Communication Technology

Link: Black-Box Detection of Cross-Site Scripting Vulnerabilities Using Reinforcement Learning


R client for the National Phenology Network database API


R interface to DATRAS trawl database web services

Evidence of stock connectivity, hybridization and misidentification in white anglerfish support the need of a genetics-informed fisheries management framework


Repository for research in the field of Responsible NLP at Meta.

"I'm sorry to hear that": Finding New Biases in Language Models with a
  Holistic Descriptor Dataset

Fairness Testing: A Comprehensive Survey and Analysis of Trends

Perturbation Augmentation for Fairer NLP

The Gender-GAP Pipeline: A Gender-Aware Polyglot Pipeline for Gender Characterisation in 55 Languages

Tackling Bias in Pre-trained Language Models: Current Trends and
  Under-represented Societies

Fairness-Aware Structured Pruning in Transformers


A C++/python library for source modeling in gamma astronomy

Ultra-high Energy Inverse Compton Emission from Galactic Electron Accelerators

Gamma-Ray Flares in the Long-term Light Curve of 3C 454.3

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

Galactic gamma-ray and neutrino emission from interacting cosmic-ray nuclei

Multi wavelength study of 4C+28.07

Possible TeV Gamma-Ray Binary Origin of HESS J1828–099

Spectral Modeling of Flares in Long Term Gamma-Ray Light Curve of PKS 0903-57

Gamma-ray flares and broadband spectral study of PKS 0402-362

Exploring the Emission Mechanisms of Mrk 180 with Long-term X-Ray and γ-Ray Data


Penglai Enclave is an open-sourced, secure and scalable TEE system for RISC-V.

Scalable Memory Protection in the PENGLAI Enclave

USENIX Symposium on Operating Systems Design and Implementation


PyTorch implementation of normalizing flow models

NICE: Non-linear Independent Components Estimation

Flow Annealed Importance Sampling Bootstrap

normflows: A PyTorch Package for Normalizing Flows

EPR-Net: Constructing non-equilibrium potential landscape via a
  variational force projection formulation


《动手学深度学习》的MindSpore实现。供MindSpore学习者配合李沐老师课程使用。

Rethinking the Inception Architecture for Computer Vision

Parameter-Efficient Transfer Learning for NLP

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

SqueezeBERT: What can computer vision teach NLP about efficient neural networks?


This repository contains a several tutorials for using the ECCO Central Production Version 4 ocean and sea-ice state estimate. Individiual lessons are provided as both Juypter notebooks (Tutorials_as_Jupyter_Notebooks/ ) and Python file (Tutorials_as_Python_Files/).


Fuzz test your application using your OpenAPI or Swagger API definition without coding

Automated test generation for REST APIs: no time to rest yet

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

Empirical Comparison of Black-box Test Case Generation Tools for RESTful APIs

Open Problems in Fuzzing RESTful APIs: A Comparison of Tools

Testing RESTful APIs: A Survey

Testing Real-World Healthcare IoT Application: Experiences and Lessons Learned

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

MINER: A Hybrid Data-Driven Approach for REST API Fuzzing

Automated Black-Box Testing of Mass Assignment Vulnerabilities in RESTful APIs


Data package: renewable power plants


Ordinal regression algorithms

Ordinal Common-sense Inference

SeerNet at SemEval-2018 Task 1: Domain Adaptation for Affect in Tweets

Relevance Scoring of Triples Using Ordinal Logistic Classification - The Celosia Triple Scorer at WSDM Cup 2017


AutoPrompt: Automatic Prompt Construction for Masked Language Models.

AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts

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

Evaluating the Robustness of Discrete Prompts

PromptAttack: Prompt-based Attack for Language Models via Gradient
  Search


Ordinal Regression and Classification Algorithms

ORCA: A Matlab/Octave Toolbox for Ordinal Regression

Incremental sparse Bayesian ordinal regression

Neural networks : the official journal of the International Neural Network Society

OCAPIS: R package for Ordinal Classification And Preprocessing In Scala


Rainbow: Combining Improvements in Deep Reinforcement Learning

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

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

When to use parametric models in reinforcement learning?

State Entropy Maximization with Random Encoders for Efficient Exploration

Principled Exploration via Optimistic Bootstrapping and Backward Induction

Ensemble Bootstrapping for Q-Learning

On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning

Adversary Agnostic Robust Deep Reinforcement Learning

Model-Based Episodic Memory Induces Dynamic Hybrid Controls


A frequency-domain dynamics model for floating wind turbines


Code for the General Lake Model

A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network

Differential Responses of Maximum Versus Median Chlorophyll‐a to Air Temperature and Nutrient Loads in an Oligotrophic Lake Over 31 Years


Enabling high-performance cloud computing for Earth science modeling on over a thousand cores: application to the GEOS-Chem atmospheric chemistry model

Journal of advances in modeling earth systems

MPI windows on storage for HPC applications

Productivity meets Performance: Julia on A64FX

Scheduling data streams for low latency and high throughput on a Cray XC40 using Libfabric


Toolbox for circular statistics with Python

Perineuronal nets stabilize the grid cell network

A tension-adhesion feedback loop in plant epidermis

Recent advances in directional statistics

Converting an allocentric goal into an egocentric steering signal

The retrosplenial cortex combines internal and external cues to encode head velocity during navigation

Cortical activity emerges in region-specific patterns during early brain development

bioRxiv : the preprint server for biology

Propagating spatiotemporal activity patterns across macaque motor cortex carry kinematic information

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

Cell class-specific electric field entrainment of neural activity


A python package and a set of shell commands to handle GTF files

OLOGRAM: determining significance of total overlap length between genomic regions sets

Explore, edit and leverage genomic annotations using Python GTF toolkit

OLOGRAM-MODL: mining enriched n-wise combinations of genomic features with Monte Carlo and dictionary learning


Assignments for CS294-112.

Intelligent Trainer for Model-Based Reinforcement Learning

RadGrad: Active learning with loss gradients

Trace-class Gaussian priors for Bayesian learning of neural networks with MCMC


Higgs JavaScript Virtual Machine

Simple and Effective Type Check Removal through Lazy Basic Block Versioning

Extending Basic Block Versioning with Typed Object Shapes

Amalgamating different JIT compilations in a meta-tracing JIT compiler framework


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

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

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

IEEE/ACM transactions on audio, speech, and language processing

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

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

PDAugment: Data Augmentation by Pitch and Duration Adjustments for Automatic Lyrics Transcription

Audiobox: Unified Audio Generation with Natural Language Prompts

PromptTTS 2: Describing and Generating Voices with Text Prompt

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


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

Collective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods Analysis (Preprint)

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

Activation Addition: Steering Language Models Without Optimization

Teaching Arithmetic to Small Transformers

Taken out of context: On measuring situational awareness in LLMs

Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA

Evaluating the Robustness of Discrete Prompts

Conformal Nucleus Sampling


A complete pipeline for metagenomic analysis

SqueezeMeta, A Highly Portable, Fully Automatic Metagenomic Analysis Pipeline

SQMtools: automated processing and visual analysis of ’omics data with R and anvi’o

Metabolic pathways inferred from a bacterial marker gene illuminate ecological changes across South Pacific frontal boundaries

Trajectories of freshwater microbial genomics and greenhouse gas saturation upon glacial retreat


A fast and lightweight python-based CTC beam search decoder for speech recognition.

How Does Pre-Trained Wav2Vec 2.0 Perform on Domain-Shifted Asr? an Extensive Benchmark on Air Traffic Control Communications

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

ESB: A Benchmark For Multi-Domain End-to-End Speech Recognition

Exploring Capabilities of Monolingual Audio Transformers using Large Datasets in Automatic Speech Recognition of Czech

Improving Automatic Speech Recognition for Non-Native English with
  Transfer Learning and Language Model Decoding

Zero-Shot Cross-lingual Aphasia Detection using Automatic Speech Recognition

Transformer-based Automatic Speech Recognition of Formal and Colloquial Czech in MALACH Project

Sample-Efficient Unsupervised Domain Adaptation of Speech Recognition Systems: A case study for Modern Greek

Wav2Vec2.0 on the Edge: Performance Evaluation

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


Benchmarking large language models' complex reasoning ability with chain-of-thought prompting

Improving Language Model Negotiation with Self-Play and In-Context
  Learning from AI Feedback

Chain-of-Thought Hub: A Continuous Effort to Measure Large Language
  Models' Reasoning Performance

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

An In-depth Look at Gemini's Language Abilities

LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models


This repository contains the results of the FAIR Metrics Group

Evaluating FAIR maturity through a scalable, automated, community-governed framework

Unlocking the Power of Artificial Intelligence and Big Data in Medicine

A Semi-Automated Workflow for FAIR Maturity Indicators in the Life Sciences

Open Government Data: Usage trends and metadata quality

OpenPVSignal: Advancing Information Search, Sharing and Reuse on Pharmacovigilance Signals via FAIR Principles and Semantic Web Technologies

Making Neural Networks FAIR

Evaluating FAIR-Compliance Through an Objective, Automated, Community-Governed Framework

A tool for assessing alignment of biomedical data repositories with open, FAIR, citation and trustworthy principles

Two real use cases of FAIR maturity indicators in the life sciences


Python tools for spatial trajectory and time-series data analysis

Rodent Arena Tracker (RAT): A Machine Vision Rodent Tracking Camera and Closed Loop Control System

Automated Analysis of Stroke Mouse Trajectory Data With Traja

Enabling Spatial Digital Twins: Technologies, Challenges, and Future
  Research Directions

An Overview of Open Source Deep Learning-Based Libraries for Neuroscience


Interval data structure

GIGGLE: a search engine for large-scale integrated genome analysis

A distinct class of antioxidant response elements is consistently activated in tumors with NRF2 mutations

Nucleosomes effectively shield DNA from radiation damage in living cells

Genome-wide alterations of uracil distribution patterns in human DNA upon chemotherapeutic treatments

Interrogating cell type-specific cooperation of transcriptional regulators in 3D chromatin

Genome Informatics 2016

Scalable approaches for functional analyses of whole-genome sequencing non-coding variants

Human molecular genetics online/Human molecular genetics


MIT Cheetah I Implementation

GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots

STEP: State Estimator for Legged Robots Using a Preintegrated Foot Velocity Factor

WoLF: the Whole-body Locomotion Framework for Quadruped Robots

WALK-VIO: Walking-motion-Adaptive Leg Kinematic Constraint
  Visual-Inertial Odometry for Quadruped Robots


The K-mer Analysis Toolkit (KAT) contains a number of tools that analyse and compare K-mer spectra.

KAT: a K-mer analysis toolkit to quality control NGS datasets and genome assemblies

The genome of cowpea (Vigna unguiculata [L.] Walp.)

Construction of a map-based reference genome sequence for barley, Hordeum vulgare L.

Inferring microbiota functions from taxonomic genes: a review

A beginner’s guide to assembling a draft genome and analyzing structural variants with long-read sequencing technologies

The genome sequence of the small elephant hawk moth, Deilephila porcellus (Linnaeus, 1758)

The barley leaf rust resistance gene Rph3 encodes a putative executor protein


sketch + style = paints :art: (TOG2018/SIGGRAPH2018ASIA)

Style Transfer for Anime Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN

Adversarial Colorization Of Icons Based On Structure And Color Conditions

Deep Line Art Video Colorization with a Few References


A curated list of reproducible research case studies, projects, tutorials, and media

Replication Study: Intestinal inflammation targets cancer-inducing activity of the microbiota

1,500 scientists lift the lid on reproducibility

Believe it or not: how much can we rely on published data on potential drug targets?

Evaluating the replicability of social science experiments in Nature and Science between 2010 and 2015

The Economics of Reproducibility in Preclinical Research

Variability in the analysis of a single neuroimaging dataset by many teams

Corrigendum: Many Analysts, One Data Set: Making Transparent How Variations in Analytic Choices Affect Results

Advances in methods and practices in psychological science

The generalizability crisis

Open science challenges, benefits and tips in early career and beyond

Reproducible Research Practices and Transparency across the Biomedical Literature


Noise supression using deep filtering

Deepfilternet: A Low Complexity Speech Enhancement Framework for Full-Band Audio Based On Deep Filtering

DeepFilterNet2: Towards Real-Time Speech Enhancement on Embedded Devices
  for Full-Band Audio

DeepFilterNet: Perceptually Motivated Real-Time Speech Enhancement

Deep Multi-Frame Filtering for Hearing Aids


The repository containing tools and information about the WoodScape dataset.

WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving

OmniDet: Surround View Cameras Based Multi-Task Visual Perception Network for Autonomous Driving

Let's Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving

SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras

Surround-View Cameras based Holistic Visual Perception for Automated
  Driving


MrBayes is a program for Bayesian inference and model choice across a wide range of phylogenetic and evolutionary models. For documentation and downloading the program, please see the home page:

Using Parsimony-Guided Tree Proposals to Accelerate Convergence in Bayesian Phylogenetic Inference

Diversity of the MHC class II DRB gene in the wolverine (Carnivora: Mustelidae: Gulo gulo) in Finland

GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of
  Tree Topologies

High-resolution and Deep Phylogenetic Reconstruction of Ancestral States from Large Transcriptomic Data Sets

The rise of predation in Jurassic lampreys

Intraspecies Variation in Tetrahymena rostrata


Creative Commons Attribution 4.0 International

This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results

Interspeech 2021 Deep Noise Suppression Challenge

Weighted Speech Distortion Losses for Neural-Network-Based Real-Time Speech Enhancement

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Speech Quality and Testing Framework

Towards efficient models for real-time deep noise suppression

A Simultaneous Denoising and Dereverberation Framework with Target Decoupling

ICASSP 2021 Deep Noise Suppression Challenge: Decoupling Magnitude and Phase Optimization with a Two-Stage Deep Network

Universal Speech Enhancement with Score-based Diffusion

ICASSP 2023 Deep Noise Suppression Challenge


A tool for exploring very large trees in the browser

CoV-Spectrum: Analysis of globally shared SARS-CoV-2 data to Identify and Characterize New Variants

Taxonium, a web-based tool for exploring large phylogenetic trees

Identifying SARS-CoV-2 regional introductions and transmission clusters in real time

Tracking and curating putative SARS-CoV-2 recombinants with RIVET


Photorealistic Text-to-Image Diffusion Models with Deep Language
  Understanding

DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic
  Models

Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video
  Generation

VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

Text-to-3D using Gaussian Splatting

Adversarial Diffusion Distillation

DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion
  Models

Seeing is not always believing: Benchmarking Human and Model Perception
  of AI-Generated Images

Inserting Anybody in Diffusion Models via Celeb Basis

GlyphDraw: Seamlessly Rendering Text with Intricate Spatial Structures
  in Text-to-Image Generation


A toolkit for enforcing logical specifications on neural networks

Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks

Vehicle: Bridging the Embedding Gap in the Verification of
  Neuro-Symbolic Programs

Vehicle: Interfacing Neural Network Verifiers with Interactive Theorem
  Provers


Open Source Flight Controller Firmware

NeuroBEM: Hybrid Aerodynamic Quadrotor Model

Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight

Neuroflight: Next Generation Flight Control Firmware

Autonomous Drone Racing: A Survey

Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment

Flight Controller Synthesis Via Deep Reinforcement Learning

IMU2Face: Real-time Gesture-driven Facial Reenactment


Large suite of N-body simulations

Constraining M-nu with the bispectrum. Part I. Breaking parameter degeneracies

Journal of Cosmology and Astroparticle Physics

Constraining M_ν with the Bispectrum II: The Total Information
  Content of the Galaxy Bispectrum

Nearest neighbour distributions: New statistical measures for cosmological clustering

Monthly notices of the Royal Astronomical Society

A Lagrangian perturbation theory in the presence of massive neutrinos

Anisotropic halo assembly bias and redshift-space distortions

Effective halo model: Creating a physical and accurate model of the matter power spectrum and cluster counts

Weighing neutrinos with the halo environment

What can we learn by combining the skew spectrum and the power spectrum?

Learning Neutrino Effects in Cosmology with Convolutional Neural Network

Clustering in massive neutrino cosmologies via Eulerian Perturbation Theory

Journal of cosmology and astroparticle physics


CL2QCD is a Lattice QCD application based on OpenCL, applicable to CPUs and GPUs.

Nf=2QCD chiral phase transition with Wilson fermions at zero and imaginary chemical potential

Deconfinement critical point of lattice QCD with N-f=2 Wilson fermions

Roberge-Weiss transition in N f =2 QCD with Wilson fermions and N τ =6

Updates on the Columbia plot and its extended/alternative versions

Finite size and cut-off effects on the Roberge-Weiss transition in N f =2 QCD with staggered fermions

Roberge-Weiss transition in N_f=2 QCD with staggered fermions and
  N_τ=6

The L-CSC cluster: Optimizing power efficiency to become the greenest supercomputer in the world in the Green500 list of November 2014

Supercomputing frontiers and innovations


An ecosystem of data, models and code pipelines to tackle flooding with ML


The Euler characteristic: A general topological descriptor for complex data

Topological data analysis: Concepts, computation, and applications in chemical engineering

Convolutional neural nets in chemical engineering: Foundations, computations, and applications

Image-Based Model Predictive Control via Dynamic Mode Decomposition

Counterfactual Learning on Graphs: A Survey

Data analysis using Riemannian geometry and applications to chemical engineering

Uncertainty Quantification for Molecular Property Predictions with Graph
  Neural Architecture Search


:snake:  mecab-python. you can find original version here:http://taku910.github.io/mecab/

fugashi, a Tool for Tokenizing Japanese in Python

Democratizing Neural Machine Translation with OPUS-MT

Automatic Summarization for Academic Articles using Deep Learning and Reinforcement Learning with Viewpoints

The International FLAIRS Conference Proceedings

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


Lifespan Machine Source Code

Phenotypic Screening in C. elegans as a Tool for the Discovery of New Geroprotective Drugs

Automated lifespan determination across Caenorhabditis strains and species reveals assay-specific effects of chemical interventions

A hierarchical process model links behavioral aging and lifespan in C. elegans

Caenorhabditis Intervention Testing Program: the farnesoid X receptor agonist obeticholic acid does not robustly extend lifespan in nematodes.


Notebooks and documentation for AI-for-Earth-managed datasets on Azure


Train or evolve controllable and diverse level-generators.

PCGRL: Procedural Content Generation via Reinforcement Learning

Illuminating Diverse Neural Cellular Automata for Level Generation

Learning Controllable Content Generators

Learning Controllable 3D Level Generators

Tree Search vs Optimization Approaches for Map Generation


An Open-Source Package for Information Retrieval

OpenMatch-v2: An All-in-one Multi-Modality PLM-based Information Retrieval Toolkit

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data


Implementation of the node2vec algorithm.

node2vec: Scalable Feature Learning for Networks

Graph-based Semi-supervised Learning: A Comprehensive Review

Network analysis reveals rare disease signatures across multiple levels of biological organization

A Broader Picture of Random-walk Based Graph Embedding

GRAPE for Fast and Scalable Graph Processing and random walk-based
  Embedding

CCGL: Contrastive Cascade Graph Learning

FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings

Graph Embeddings for Abusive Language Detection

OpenGraphGym: A Parallel Reinforcement Learning Framework for Graph Optimization Problems

UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling


FlagEval is an evaluation toolkit for AI large foundation models.

CLEVA: Chinese Language Models EVAluation Platform

Datasets for Large Language Models: A Comprehensive Survey


Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers

Achieving robustness in classification using optimal transport with hinge regularization

White Paper Machine Learning in Certified Systems

Pay attention to your loss: understanding misconceptions about 1-Lipschitz neural networks

The Many Faces of 1-Lipschitz Neural Networks.

Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks

On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective

DP-SGD Without Clipping: The Lipschitz Neural Network Way

Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks

The Rise of Open Science: Tracking the Evolution and Perceived Value of
  Data and Methods Link-Sharing Practices


Palmetto is a quality measuring tool for topics

ATM: Adversarial-neural Topic Model

Neural Topic Modeling with Bidirectional Adversarial Training

TDAM: a Topic-Dependent Attention Model for Sentiment Analysis

Zenodo (CERN European Organization for Nuclear Research)

Detecting Perspectives in Political Debates

Empirical Methods in Natural Language Processing

Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse

North American Chapter of the Association for Computational Linguistics

What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations

Neural Topic Modeling with Cycle-Consistent Adversarial Training

Neural Topic Modeling by Incorporating Document Relationship Graph

Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts

Findings of the Association for Computational Linguistics: EMNLP 2021

Which Matters Most? Comparing the Impact of Concept and Document Relationships in Topic Models

Proceedings of the First Workshop on Insights from Negative Results in NLP


A Neural Machine Translation implementation in Chainer

An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation

言語処理学会年次大会発表論文集(Web)

Enabling Multi-Source Neural Machine Translation By Concatenating Source
  Sentences In Multiple Languages

Kyoto-NMT: a Neural Machine Translation implementation in Chainer

International Conference on Computational Linguistics

Kyoto University Participation to WAT 2017

Kyoto University MT System Description for IWSLT 2017

International Workshop on Spoken Language Translation

Neural Machine Translation: Basics, Practical Aspects and Recent Trends

International Joint Conference on Natural Language Processing


Neural end-to-end Speech Translation Toolkit

Attention Is All You Need

Towards Making the Most of BERT in Neural Machine Translation

NeurST: Neural Speech Translation Toolkit

Finding Sparse Structures for Domain Specific Neural Machine Translation

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

Controlling Styles in Neural Machine Translation with Activation Prompt


Whole Program LLVM: wllvm ported to go

Compacting points-to sets through object clustering

Proceedings of the ACM on programming languages

Deterministic Parallel Fixpoint Computation

Memory-Efficient Fixpoint Computation


Java tools for analyzing Drop-seq data

SARS-CoV-2 Receptor ACE2 Is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Detected in Specific Cell Subsets across Tissues

Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment

Antitumor potential of Alchemilla vulgaris L. in ortotopic mouse breast cancer model

Innovations present in the primate interneuron repertoire

Single-cell genomic profiling of human dopamine neurons identifies a population that selectively degenerates in Parkinson’s disease

A single-cell survey of Drosophila blood

Single Cell Analysis Reveals Immune Cell-Adipocyte Crosstalk Regulating the Transcription of Thermogenic Adipocytes

HSV-1 single-cell analysis reveals the activation of anti-viral and developmental programs in distinct sub-populations

Cell type prioritization in single-cell data

Systematic comparative analysis of single cell RNA-sequencing methods


orvara: An Efficient Code to Fit Orbits Using Radial Velocity, Absolute, and/or Relative Astrometry

AF Lep b: The lowest-mass planet detected by coupling astrometric and direct imaging data

Asteroseismology of iota Draconis and Discovery of an Additional Long-period Companion

The Masses of a Sample of Radial-velocity Exoplanets with Astrometric Measurements

Surveying nearby brown dwarfs with HGCA: direct imaging discovery of a faint, high-mass brown dwarf orbiting HD 176535 A


Community Emissions Data System (CEDS)

Historical (1750–2014) anthropogenic emissions of reactive gases and aerosols from the Community Emissions Data System (CEDS)

The generation of gridded emissions data for CMIP6

Deep mitigation of CO2 and non-CO2 greenhouse gases toward 1.5 °C and 2 °C futures

A new global anthropogenic SO2 emission inventory for the last decade: a mosaic of satellite-derived and bottom-up emissions

CEDS v_2021_02_05 Release Emission Data

Impacts of emission changes in China from 2010 to 2017 on domestic and intercontinental air quality and health effect

Chinese industrial air pollution emissions based on the continuous emission monitoring systems network


A reference system that simulates real-world systems in order to more fairly compare various configurations of executors and other settings

ros2_tracing: Multipurpose Low-Overhead Framework for Real-Time Tracing of ROS 2

Message flow analysis with complex causal links for distributed ROS 2 systems

Deadline Miss Early Detection Method for Mixed Timer-Driven and Event-Driven DAG Tasks


A robust streaming log template miner based on the Drain algorithm

AnomalyAdapters: Parameter-Efficient Multi-Anomaly Task Detection

DeCorus: Hierarchical Multivariate Anomaly Detection at Cloud-Scale

Documentation based Semantic-Aware Log Parsing


sparse communication library

NekRS, a GPU-Accelerated Spectral Element Navier-Stokes Solver

GPU Algorithms for Efficient Exascale Discretizations

The PetscSF Scalable Communication Layer

Multirate timestepping for the incompressible Navier-Stokes equations in overlapping grids

Neko: A Modern, Portable, and Scalable Framework for High-Fidelity Computational Fluid Dynamics.

Adaptive Surface Fitting and Tangential Relaxation for High-Order Mesh
  Optimization

Initial Guesses for Sequences of Linear Systems in a GPU-Accelerated Incompressible Flow Solver

Stability analysis of a singlerate and multirate predictor-corrector scheme for overlapping grids

Mixed-Order Meshes through rp-adaptivity for Surface Fitting to Implicit
  Geometries


Compiling Universal Probabilistic Programming Languages with Efficient Parallel Sequential Monte Carlo Inference

Automatic Alignment of Sequential Monte Carlo Inference in Higher-Order
  Probabilistic Programs

Automatic Alignment in Higher-Order Probabilistic Programming Languages

Suspension Analysis and Selective Continuation-Passing Style for
  Higher-Order Probabilistic Programming Languages


GREAT Analysis - Functional Enrichment on Genomic Regions

The mitochondrial pyruvate carrier regulates memory T cell differentiation and antitumor function

Genomic Resolution of DLX-Orchestrated Transcriptional Circuits Driving Development of Forebrain GABAergic Neurons

rGREAT: an R/bioconductor package for functional enrichment on genomic regions

Dynamics of broad H3K4me3 domains uncover an epigenetic switch between cell identity and cancer-related genes

Short tandem repeats are important contributors to silencer elements in T cells

“Integration of multimodal data in the developing tooth reveals candidate dental disease genes”


Functional connectomics spanning multiple areas of mouse visual cortex

Binary and analog variation of synapses between cortical pyramidal neurons

Oligodendrocyte precursor cells ingest axons in the mouse neocortex

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

CAVE: Connectome Annotation Versioning Engine

bioRxiv : the preprint server for biology


Rapid & standardized annotation of bacterial genomes, MAGs & plasmids

Bakta: Rapid & standardized annotation of bacterial genomes via alignment-free sequence identification

Genomic insight into Campylobacter jejuni isolated from commercial turkey flocks in Germany using whole-genome sequencing analysis

Genomics of Tenacibaculum Species in British Columbia, Canada

StAP1 phage: an effective tool for treating methicillin-resistant Staphylococcus aureus infections

Genomic Analysis Reveals New Integrative Conjugal Elements and Transposons in GBS Conferring Antimicrobial Resistance


Generalized Targeted Learning Framework

DoubleML -- An Object-Oriented Implementation of Double Machine Learning
  in R

Evaluating the Robustness of Targeted Maximum Likelihood Estimators via
  Realistic Simulations in Nutrition Intervention Trials

Canonical Least Favorable Submodels:A New TMLE Procedure for
  Multidimensional Parameters

Kernel Smoothing of the Treatment Effect CDF


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

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

The journal of machine learning for biomedical imaging

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

Adapting Pretrained Vision-Language Foundational Models to Medical
  Imaging Domains

Saliency is a Possible Red Herring When Diagnosing Poor Generalization

Medical Image Captioning via Generative Pretrained Transformers

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

CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal
  Relationships between Chest X-Rays

Suppressing Poisoning Attacks on Federated Learning for Medical Imaging


SemanticVectors creates semantic WordSpace models from free natural language text.

Improving average ranking precision in user searches for biomedical research datasets

A Tale of Two Perplexities: Sensitivity of Neural Language Models to Lexical Retrieval Deficits in Dementia of the Alzheimer's Type

Bringing Order to Neural Word Embeddings with Embeddings Augmented by Random Permutations (EARP)

Conference on Computational Natural Language Learning

Learning from Hypervectors: A Survey on Hypervector Encoding

Improving Biomedical Analogical Retrieval with Embedding of Structural Dependencies

Replicating Relevance-Ranked Synonym Discovery in a New Language and Domain

Retrofitting Vector Representations of Adverse Event Reporting Data to Structured Knowledge to Improve Pharmacovigilance Signal Detection


interior point solver for general convex conic optimization problems

Performance enhancements for a generic conic interior point algorithm

Quantum key distribution rates from semidefinite programming

Conic Optimization with Spectral Functions on Euclidean Jordan Algebras

Sum of squares generalizations for conic sets

Computing Conjugate Barrier Information for Nonsymmetric Cones

Journal of optimization theory and applications


A repository for storing pre-trained Caffe2 models.

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

Deep Learning on Mobile Devices - A Review

Front-end deep learning web apps development and deployment: a review

Applied intelligence (Dordrecht, Netherlands)


Assess the quality of microbial genomes recovered from isolates, single cells, and metagenomes

Reconstructing a hydrogen-driven microbial metabolic network in Opalinus Clay rock

Large scale genome reconstructions illuminate Wolbachia evolution

Disinfection exhibits systematic impacts on the drinking water microbiome

Metagenomic Evidence for a Methylocystis Species Capable of Bioremediation of Diverse Heavy Metals

Characterization and Demonstration of Mock Communities as Control Reagents for Accurate Human Microbiome Community Measurements

Genomic and phenotypic analyses of diverse non-clinical Acinetobacter baumannii strains reveals strain-specific virulence and resistance capacity

Adjunctive Probio-X Treatment Enhances the Therapeutic Effect of a Conventional Drug in Managing Type 2 Diabetes Mellitus by Promoting Short-Chain Fatty Acid-Producing Bacteria and Bile Acid Pathways

Bioinformatic approaches for studying the microbiome of fermented food

Genome Sequence of a Thermoacidophilic Methanotroph Belonging to the Verrucomicrobiota Phylum from Geothermal Hot Springs in Yellowstone National Park: A Metagenomic Assembly and Reconstruction

Lacticaseibacillus rhamnosus Probio-M9-Driven Mouse Mammary Tumor-Inhibitory Effect Is Accompanied by Modulation of Host Gut Microbiota, Immunity, and Serum Metabolome


Render transformed image tiles

A Complete Electron Microscopy Volume of the Brain of Adult Drosophila melanogaster

Functional connectomics spanning multiple areas of mouse visual cortex

A Community-Developed Open-Source Computational Ecosystem for Big Neuro
  Data

Petascale neural circuit reconstruction: automated methods

Cell-type-specific inhibitory circuitry from a connectomic census of mouse visual cortex

A Connectome of the MaleDrosophilaVentral Nerve Cord

Multimodal cell type correspondence by intersectional mFISH in intact tissues

MagC, magnetic collection of ultrathin sections for volumetric correlative light and electron microscopy

Joint Deformable Registration of Large EM Image Volumes: A Matrix Solver
  Approach

Optimization of negative stage bias potential for faster imaging in large-scale electron microscopy


⚡⚡⚡Blazing fast correlation functions on the CPU.

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

Monthly Notices of the Royal Astronomical Society

CORRFUNC - a suite of blazing fast correlation functions on the CPU

Spatial clustering of dark matter haloes: secondary bias, neighbour bias, and the influence of massive neighbours on halo properties

Nearest neighbour distributions: New statistical measures for cosmological clustering

Monthly notices of the Royal Astronomical Society

The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: exploring the halo occupation distribution model for emission line galaxies

How Are Galaxies Assigned to Halos? Searching for Assembly Bias in the SDSS Galaxy Clustering

Accurate Modelling of Galaxy Clustering on Small Scales: Testing the Standard ΛCDM + Halo Model

Cosmological cross-correlations and nearest neighbour distributions

Do model emission line galaxies live in filaments at z similar to 1?

Corrfunc: Blazing fast correlation functions with AVX512F SIMD Intrinsics

Communications in computer and information science


RIVET is a tool for Topological Data Analysis, in particular two-parameter persistent homology.

Scalar Field Comparison with Topological Descriptors: Properties and Applications for Scientific Visualization

Persistent Homology Analysis for Materials Research and Persistent Homology Software: HomCloud

BrainIAK: The Brain Imaging Analysis Kit

Stability of 2-Parameter Persistent Homology

Fast Minimal Presentations of Bi-graded Persistence Modules

Characterizing the Latent Space of Molecular Deep Generative Models with Persistent Homology Metrics

Topological Data Analysis on Simple English Wikipedia Articles

The Shift-Dimension of Multipersistence Modules

The Degree-Rips Complexes of an Annulus with Outliers

Value-Offset Bifiltrations for Digital Images


Extensible Combinatorial Optimization Learning Environments

Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers

Learning To Cut By Looking Ahead: Cutting Plane Selection via Imitation
  Learning


Particle-resolved stochastic atmospheric aerosol model

Chemistry Across Multiple Phases (CAMP) version 1.0: An integrated multi-phase chemistry model


Tools for processing and analyzing structural variants.

Mapping and characterization of structural variation in 17,795 human genomes

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

Drivers and dynamics of a massive adaptive radiation in cichlid fishes

A genome-wide association study for gut metagenome in Chinese adults illuminates complex diseases

svtools: population-scale analysis of structural variation


[CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.

VideoChat: Chat-Centric Video Understanding

MVBench: A Comprehensive Multi-modal Video Understanding Benchmark

FunQA: Towards Surprising Video Comprehension

VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of
  Video-Language Models


The approximate regex matching library and agrep command line tool.

Global survey of mobile DNA horizontal transfer in arthropods reveals Lepidoptera as a prime hotspot

stringi: Fast and Portable Character String Processing in R

Tagged Deterministic Finite Automata with Lookahead

A population-level strain genotyping method to study pathogen strain dynamics in human infections


A CF-compliant Earth Science data analysis library


A Neo4j backed ontology store

The Monarch Initiative in 2019: an integrative data and analytic platform connecting phenotypes to genotypes across species

DataMed – an open source discovery index for finding biomedical datasets

Journal of the American Medical Informatics Association : JAMIA

The SPARC DRC: Building a Resource for the Autonomic Nervous System Community

An overview of graph databases and their applications in the biomedical domain

Database : the journal of biological databases and curation

COVID-KOP: Integrating Emerging COVID-19 Data with the ROBOKOP Database

ChemRxiv : the preprint server for chemistry

A Biomedical Knowledge Graph System to Propose Mechanistic Hypotheses for Real-World Environmental Health Observations: Cohort Study and Informatics Application

AtOM, an ontology model for standardizing use of brain atlases in tools, workflows, and data infrastructures


An industrial deep learning framework for high-dimension sparse data

Learning Tree-based Deep Model for Recommender Systems

Joint Optimization of Tree-based Index and Deep Model for Recommender Systems

Learning Optimal Tree Models Under Beam Search

Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling

Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching

FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning

An Empirical Study of the Landscape of Open Source Projects in Baidu, Alibaba, and Tencent


SPAdes Genome Assembler

Probiotics impact the antibiotic resistance gene reservoir along the human GI tract in a person-specific and antibiotic-dependent manner

Plasmid detection and assembly in genomic and metagenomic data sets

A review of computational tools for generating metagenome-assembled genomes from metagenomic sequencing data

HASLR: Fast Hybrid Assembly of Long Reads

A simple guide to de novo transcriptome assembly and annotation

Improving the Inhibitory Effect of Phages against Pseudomonas aeruginosa Isolated from a Burn Patient Using a Combination of Phages and Antibiotics

Method development for cross-study microbiome data mining: Challenges and opportunities

Computational and structural biotechnology journal

RETRACTED ARTICLE: Selective inheritance of target genes from only one parent of sexually reproduced F1 progeny in Arabidopsis

cloudSPAdes: assembly of synthetic long reads using de Bruijn graphs

Chromosome-level genomes of multicellular algal sisters to land plants illuminate signaling network evolution


andi_datasets provides functions to generate, save, load and manipulate datasets of diffusion anomalous trajectories. It is part of the Anomalous Diffusion (ANDI) Challenge.

Objective comparison of methods to decode anomalous diffusion

Bayesian deep learning for error estimation in the analysis of anomalous diffusion

AnDi: The Anomalous Diffusion Challenge

Bayesian inference of Lévy walks via hidden Markov models

Characterization of anomalous diffusion through convolutional transformers

Preface: characterisation of physical processes from anomalous diffusion data

Quantitative evaluation of methods to analyze motion changes in
  single-particle experiments


A repository for archived research code

Testing platform-independent quantum error mitigation on noisy quantum
  computers


Imputation of parental genotypes, inference of sibling IBD segments, family based GWAS, and polygenic score analyses.

Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals

Mendelian imputation of parental genotypes for genome-wide estimation of direct and indirect genetic effects

Studying the genetics of participation using footprints left on the ascertained genotypes

Novel estimators for family-based genome-wide association studies increase power and robustness


Real-time dense visual SLAM system

SemanticFusion: Dense 3D Semantic Mapping with Convolutional Neural
  Networks

Exploring Extended Reality with ILLIXR: A New Playground for Architecture Research.

Sparse2Dense: From direct sparse odometry to dense 3D reconstruction

RGB-D Odometry and SLAM


R package to access DoRothEA's regulons

ANANSE: an enhancer network-based computational approach for predicting key transcription factors in cell fate determination

Single-Cell Analysis Identify Transcription Factor BACH1 as a Master Regulator Gene in Vascular Cells During Aging

Frontiers in cell and developmental biology

BACH1 deficiency prevents neointima formation and maintains the differentiated phenotype of vascular smooth muscle cells by regulating chromatin accessibility

Forced expression of the non-coding RNA miR-17∼92 restores activation and function in CD28-deficient CD4+ T cells

Gene Expression Monotonicity across Bladder Cancer Stages Informs on the Molecular Pathogenesis and Identifies a Prognostic Eight-Gene Signature


This pipeline is executing a RE-EDS run for relative free energy calculations. It can be used for example for calculation of hydration free energies or ligand binding free energies.

Efficient Round-Trip Time Optimization for Replica-Exchange Enveloping Distribution Sampling (RE-EDS)

Journal of chemical theory and computation

Replica exchange enveloping distribution sampling (RE-EDS): A robust method to estimate multiple free-energy differences from a single simulation

An Alternative to Conventional λ-Intermediate States in Alchemical Free Energy Calculations: λ-Enveloping Distribution Sampling

Journal of chemical information and modeling

Relative free-energy calculations for scaffold hopping-type transformations with an automated RE-EDS sampling procedure

Journal of computer-aided molecular design

Accounting for Solvation Correlation Effects on the Thermodynamics of Water Networks in Protein Cavities

Replica-Exchange Enveloping Distribution Sampling Using Generalized AMBER Force-Field Topologies: Application to Relative Hydration Free-Energy Calculations for Large Sets of Molecules

Accelerating Alchemical Free Energy Prediction Using a Multistate Method: Application to Multiple Kinases


This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).

PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark
  for Finance

Large Language Models for Time Series: A Survey

A Survey of Large Language Models in Finance (FinLLMs)

Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English


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

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

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

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

Simulation of Coupled Power and Gas Systems with Hydrogen-Enriched Natural Gas

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

Materials Discovery using Max K-Armed Bandit


Code to replicate posterior probability distributions with bijectors/KDEs and perform marginal KL/bayesian dimensionality calculations.

Marginal post-processing of Bayesian inference products with normalizing flows and kernel density estimators

Marginal Bayesian Statistics Using Masked Autoregressive Flows and
  Kernel Density Estimators with Examples in Cosmology

Piecewise Normalizing Flows


CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

Advances and Challenges in Conversational Recommender Systems: A Survey

Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning

CRSLab: An Open-Source Toolkit for Building Conversational Recommender System

C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational
  Recommender System

A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems

A Large Language Model Enhanced Conversational Recommender System

Improving Conversational Recommendation Systems via Counterfactual Data Simulation

INSPIRED2: An Improved Dataset for Sociable Conversational
  Recommendation


The automatically differentiable and GPU-compatible toolkit for CMB analysis.

Bayesian delensing of CMB temperature and polarization

Sampling-based inference of the primordial CMB and gravitational lensing

Comparison of delensing methodologies and assessment of the delensing capabilities of future experiments

Journal of Cosmology and Astroparticle Physics

Marginal unbiased score expansion and application to CMB lensing


Weak lensing fast simulations and analysis of blended objects.

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

Mitigating Shear-dependent Object Detection Biases with Metacalibration

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

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

Metadetection Weak Lensing for the Vera C. Rubin Observatory

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

A Differentiable Perturbation-based Weak Lensing Shear Estimator


Fixes contractions such as `you're` to `you are`

Normalization of Indonesian-English Code-Mixed Twitter Data

Empirical Methods in Natural Language Processing

MyMove: Facilitating Older Adults to Collect In-Situ Activity Labels on a Smartwatch with Speech

PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22)

Sentiment Analysis of the COVID-related r/Depression Posts

A curated dataset for hate speech detection on social media text

IIITN NLP at SMM4H 2021 Tasks: Transformer Models for Classification on Health-Related Imbalanced Twitter Datasets

Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task

Effects of Online Self-Disclosure on Social Feedback During the COVID-19
  Pandemic

BugListener: Identifying and Synthesizing Bug Reports from Collaborative Live Chats

Team LRL_NC at SemEval-2022 Task 4: Binary and Multi-label Classification of PCL using Fine-tuned Transformer-based Models

Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)


A structured list of resources about Sum-Product Networks (SPNs)

Sum-product networks: A survey

Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets

Turbocharging Treewidth-Bounded Bayesian Network Structure Learning

Approximate Learning of High Dimensional Bayesian Network Structures via Pruning of Candidate Parent Sets


RISC-V Virtual Prototype


The git repository for the TT-Toolbox

Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis

Tensorizing Neural Networks

Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives

Foundations and trends in machine learning

Alternating Minimal Energy Methods for Linear Systems in Higher Dimensions

Era of Big Data Processing: A New Approach via Tensor Networks and Tensor Decompositions

Direct Solution of the Chemical Master Equation Using Quantized Tensor Trains

Extension of PCA to Higher Order Data Structures: An Introduction to Tensors, Tensor Decompositions, and Tensor PCA

Computation of extreme eigenvalues in higher dimensions using block tensor train format

Simultaneous state-time approximation of the chemical master equation
  using tensor product formats

Polynomial Chaos Expansion of Random Coefficients and the Solution of Stochastic Partial Differential Equations in the Tensor Train Format


Blender addons to make the bridge between Blender and geographic data

Open Geospatial Software and Data: A Review of the Current State and A Perspective into the Future

ISPRS international journal of geo-information

Ready Species One: Exploring the Use of Augmented Reality to Enhance Systematic Biology with a Revision of Fijian Strumigenys (Hymenoptera: Formicidae)

Usability of WebXR Visualizations in Urban Planning

TouchTerrain—3D Printable Terrain Models

Multispectral UAV Data and GPR Survey for Archeological Anomaly Detection Supporting 3D Reconstruction

Move The Object or Move The User: The Role of Interaction Techniques on Embodied Learning in VR

Combining multiple shaded reliefs with hypsometric colouring and digital orthophotos using free and open-source software

BRIDGING THE GAP: AN OPEN-SOURCE GIS+BIM SYSTEM FOR ARCHAEOLOGICAL DATA. THE CASE STUDY OF ALTINUM, ITALY

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


A Python Command Line Interface for classifying fire events from the Collection 6 MODIS Burned Area Product.

FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001-2019)

Country-level fire perimeter datasets (2001–2021)


An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.

ClimSim: A large multi-scale dataset for hybrid physics-ML climate
  emulation


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


Jack the Reader

Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence

Making Neural QA as Simple as Possible but not Simpler

NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language

Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis

Jack the Reader - A Machine Reading Framework


Tools for working with BUS files

Modular, efficient and constant-memory single-cell RNA-seq preprocessing

IL-1-driven stromal–neutrophil interactions define a subset of patients with inflammatory bowel disease that does not respond to therapies

Evaluation of STAR and Kallisto on Single Cell RNA-Seq Data Alignment

Protocol for fast scRNA-seq raw data processing using scKB and non-arbitrary quality control with COPILOT

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

BUSZ: compressed BUS files


Python suite to construct benchmark machine learning datasets from the MIMIC-III  clinical database.

Multitask learning and benchmarking with clinical time series data

RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data

MIMIC-Extract

EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE

Federated Learning on Clinical Benchmark Data: Performance Assessment

Transfer Learning for Clinical Time Series Analysis Using Deep Neural Networks

Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data

Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks

Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks

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


A fully featured, pythonic library for representing and using quaternions

Geomstats: A Python Package for Riemannian Geometry in Machine Learning

ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results

Introduction to Geometric Learning in Python with Geomstats

Proceedings of the Python in Science Conferences

RelMobNet: End-to-end relative camera pose estimation using a robust
  two-stage training


Mobility, an open-source library for mobility modelisation


tidy methods for mixed models in R

Cannabinoid and substance relationships of European congenital anomaly patterns: a space-time panel regression and causal inferential study

PRELIMINARY EVALUATION OF THE GROWTH AND YIELD OF FOUR JAPANESE PLUM CULTIVARS (Prunus salicina Lindl.) GRAFTED ON WANGENHEIM PRUNE SEEDLINGS

Journal of fruit and ornamental plant research

Geospatiotemporal and causal inference study of cannabis and other drugs as risk factors for female breast cancer USA 2003–2017

Cannabis- and Substance-Related Epidemiological Patterns of Chromosomal Congenital Anomalies in Europe: Geospatiotemporal and Causal Inferential Study

International journal of environmental research and public health

European Epidemiological Patterns of Cannabis- and Substance-Related Congenital Neurological Anomalies: Geospatiotemporal and Causal Inferential Study

European Epidemiological Patterns of Cannabis- and Substance-Related Body Wall Congenital Anomalies: Geospatiotemporal and Causal Inferential Study

The observational clinical registry (cohort design) of the European Reference Network on Rare Adult Solid Cancers: The protocol for the rare head and neck cancers

Cannabis- and Substance-Related Carcinogenesis in Europe: A Lagged Causal Inferential Panel Regression Study

Epidemiological Patterns of Cannabis- and Substance- Related Congenital Uronephrological Anomalies in Europe: Geospatiotemporal and Causal Inferential Study

Patterns of Cannabis- and Substance-Related Congenital General Anomalies in Europe: A Geospatiotemporal and Causal Inferential Study


COIN-OR Linear Programming Solver

Design and implementation of a modular interior-point solver for linear optimization

ROC++: Robust Optimization in C++

Learning to Reformulate for Linear Programming

Preprocessing and cutting planes with conflict graphs

From an Interior Point to a Corner Point: Smart Crossover

Linear programming feedrate optimization - Adaptive path sampling and feedrate override

The international journal of advanced manufacturing technology/International journal, advanced manufacturing technology

2-neighborly 0/1-polytopes of dimension 7

Monoidal strengthening of simple ��-polyhedral disjunctive
  cuts


MadMax: surviving out-of-gas conditions in Ethereum smart contracts

Proceedings of the ACM on programming languages

A Concurrent Perspective on Smart Contracts

Precise Attack Synthesis for Smart Contracts

The State of Ethereum Smart Contracts Security: Vulnerabilities, Countermeasures, and Tool Support

Building an Ethereum-Based Decentralized Vehicle Rental System

Flint for Safer Smart Contracts.

The Economics of Smart Contracts


A modular Hi-C mapping pipeline

A Mechanism of Cohesin-Dependent Loop Extrusion Organizes Zygotic Genome Architecture

A chromosome folding intermediate at the condensin-to-cohesin transition during telophase

FAN-C: a feature-rich framework for the analysis and visualisation of chromosome conformation capture data

Coolpup.py: versatile pile-up analysis of Hi-C data

A central role for canonical PRC1 in shaping the 3D nuclear landscape

Transcription shapes 3D chromatin organization by interacting with loop extrusion

Genetic and spatial organization of the unusual chromosomes of the dinoflagellate Symbiodinium microadriaticum

Cohesin is required for long-range enhancer action at the Shh locus

Cohesin mutations alter DNA damage repair and chromatin structure and create therapeutic vulnerabilities in MDS/AML

Nuclear organisation and replication timing are coupled through RIF1-PP1 interaction


pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)

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

Feature Pyramid Networks for Object Detection

NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization

CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video

Weakly-supervised Visual Instrument-playing Action Detection in Videos

LDC-Net: A Unified Framework for Localization, Detection and Counting in Dense Crowds


Creative Commons Attribution Share Alike 4.0 International

Open and Affordable Quantitative Imaging Platform


Structural variant and indel caller for mapped sequencing data

Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications

Molecular, Pathological, Radiological, and Immune Profiling of Non-brainstem Pediatric High-Grade Glioma from the HERBY Phase II Randomized Trial

Sarek: A portable workflow for whole-genome sequencing analysis of germline and somatic variants

novoBreak: local assembly for breakpoint detection in cancer genomes

A reference human induced pluripotent stem cell line for large-scale collaborative studies.

Analysis pipelines for cancer genome sequencing in mice

Resolution of structural variation in diverse mouse genomes reveals chromatin remodeling due to transposable elements

Genomic autopsy to identify underlying causes of pregnancy loss and perinatal death

Integrated multi-omics for rapid rare disease diagnosis on a national scale

Detecting pathogenic variants in autoimmune diseases using high‐throughput sequencing


Image Deblurring using Generative Adversarial Networks

DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

GAN Based Image Deblurring Using Dark Channel Prior

IS&T International Symposium on Electronic Imaging Science and Technology

Deep Motion Blur Removal Using Noisy/Blurry Image Pairs

Face and Body-Based Human Recognition by GAN-Based Blur Restoration


百度NLP：分词，词性标注，命名实体识别，词重要性

Chinese Lexical Analysis with Deep Bi-GRU-CRF Network

Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning

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

TGEA: An Error-Annotated Dataset and Benchmark Tasks for TextGeneration from Pretrained Language Models

Meeting of the Association for Computational Linguistics

Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation

Changes in Public Sentiment under the Background of Major Emergencies—Taking the Shanghai Epidemic as an Example

Joint Intent Detection and Entity Linking on Spatial Domain Queries

DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models

Prediction, Selection, and Generation: Exploration of Knowledge-Driven Conversation System

System Description on Automatic Simultaneous Translation Workshop

Proceedings of the Second Workshop on Automatic Simultaneous Translation


Mamba state-space model

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

MambaByte: Token-free Selective State Space Model


A general-purpose encoder-decoder framework for Tensorflow

OpenNMT: Open-Source Toolkit for Neural Machine Translation

BLEURT: Learning Robust Metrics for Text Generation

Massive Exploration of Neural Machine Translation Architectures

Incremental Transformer with Deliberation Decoder for Document Grounded Conversations

Effective Domain Mixing for Neural Machine Translation

Proceedings of the Second Conference on Machine Translation

A Comparative Quality Evaluation of PBSMT and NMT using Professional Translators

Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection

Efficient Attention using a Fixed-Size Memory Representation

Generation of Company descriptions using concept-to-text and text-to-text deep models: dataset collection and systems evaluation

International Conference on Natural Language Generation

A surprisingly effective out-of-the-box char2char model on the E2E NLG Challenge dataset

Annual Meeting of the Special Interest Group on Discourse and Dialogue


Text recognition (optical character recognition) with deep learning methods, ICCV 2019

What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis

Text Recognition in the Wild: A Survey

TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text

What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels

SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models

Exploring Stroke-Level Modifications for Scene Text Editing

Out-of-Vocabulary Challenge Report

Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition

RewriteNet: Realistic Scene Text Image Generation via Editing Text in Real-world Image

RewriteNet: Reliable Scene Text Editing with Implicit Decomposition of
  Text Contents and Styles


Time series features

GRATIS: GeneRAting TIme Series with diverse and controllable characteristics

Time Series Extrinsic Regression

Global-scale massive feature extraction from monthly hydroclimatic time series: Statistical characterizations, spatial patterns and hydrological similarity

Improving the performance of deep learning models using statistical features: The case study of COVID‐19 forecasting

Mathematical methods in the applied sciences

Two-Step Meta-Learning for Time-Series Forecasting Ensemble

A Review of Open Source Software Tools for Time Series Analysis


Atmospheric fluid dynamics solver optimized for GPUs.

Revisiting the Phase Curves of WASP-43b: Confronting Re-analyzed Spitzer Data with Cloudy Atmospheres

Three-dimensional Circulation Driving Chemical Disequilibrium in WASP-43b

THOR 2.0: Major Improvements to the Open-source General Circulation Model

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

Cloudy and Cloud-free Thermal Phase Curves with PICASO: Applications to WASP-43b


A benchmark to compare synchronization techniques for multicore programming

Models for energy consumption of data structures and algorithms

A Concurrency-Optimal List-Based Set

White-box methodologies, programming abstractions and libraries

Using Nesting to Push the Limits of Transactional Data Structure Libraries.

Flat combined Red Black Trees


Iterative hard thresholding for l0 penalized regression

Iterative hard thresholding in genome-wide association studies: Generalized linear models, prior weights, and double sparsity

Iterative Hard Thresholding in GWAS: Generalized Linear Models, Prior Weights, and Double Sparsity

Multivariate genome-wide association analysis by iterative hard thresholding


Fast code for parallel or fan beam tomographic reconstruction

Algorithm-Driven Advances for Scientific CT Instruments: From model-based to deep learning-based approaches

X-ray Tomography Applied to Electrochemical Devices and Electrocatalysis

Generative Plug and Play: Posterior Sampling for Inverse Problems

Deep Regularized Compound Gaussian Network for Solving Linear Inverse
  Problems

An Edge Alignment-Based Orientation Selection Method for Neutron Tomography


Random Integrators for many-body quantum systems

Improved walker population control for full configuration interaction quantum Monte Carlo

Magnetic impurity in a one-dimensional few-fermion system

Polaron-Depleton Transition in the Yrast Excitations of a One-Dimensional Bose Gas with a Mobile Impurity

Stochastic differential equation approach to understanding the population control bias in full configuration interaction quantum Monte Carlo


Improve the quality of a denovo assembly by scaffolding and gap filling

Robust high-throughput prokaryote de novo assembly and improvement pipeline for Illumina data

Genomic and transcriptomic evidence for descent from Plasmodium and loss of blood schizogony in Hepatocystis parasites from naturally infected red colobus monkeys

Contrasting approaches to genome-wide association studies impact the detection of resistance mechanisms in Staphylococcus aureus

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

Circulation of enterotoxigenic Escherichia coli (ETEC) isolates expressing CS23 from the environment to clinical settings


BabyAI platform. A testbed for training agents to understand and execute language commands.

BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning

Retrieval-Augmented Reinforcement Learning

Unnatural Language Processing: Bridging the Gap Between Synthetic and Natural Language Data

Mastering emergent language: learning to guide in simulated navigation

BabyAI 1.1

Internally Rewarded Reinforcement Learning

Planning with Sequence Models through Iterative Energy Minimization


QPanda 2 is an open source quantum computing framework developed by  OriginQC that can be used to build, run, and optimize quantum algorithms.

Shortcuts to the quantum approximate optimization algorithm

Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach

ChemiQ: A Chemistry Simulator for Quantum Computer

QPanda: high-performance quantum computing framework for multiple
  application scenarios


PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io

Machine Learning in Python: Main developments and technology trends in
  data science, machine learning, and artificial intelligence

Evaluating probabilistic programming and fast variational Bayesian inference in phylogenetics

Differences between human and machine perception in medical diagnosis


Data catalog for the Microsoft Planetary Computer


Automated 3D brain registration with support for multiple species and atlases.

aMAP is a validated pipeline for registration and segmentation of high-resolution mouse brain data

Behavioral origin of sound-evoked activity in mouse visual cortex

BrainGlobe Atlas API: a common interface for neuroanatomical atlases

Brain-wide analysis of the supraspinal connectome reveals anatomical correlates to functional recovery after spinal injury

Learning-related congruent and incongruent changes of excitation and inhibition in distinct cortical areas

Tools for accurate post hoc determination of marker location within whole-brain microscopy images


Web scraper for Atlantic and east Pacific hurricanes and tropical storms


Jupyter notebooks for learning how to use SimpleITK

SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research

Image Segmentation, Registration and Characterization in R with SimpleITK

MulViMotion: Shape-Aware 3D Myocardial Motion Tracking From Multi-View Cardiac MRI

Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning


XenonPy is a Python Software for Materials Informatics

Transfer learning for materials informatics using crystal graph convolutional neural network

Exploring Diamond-Like Lattice Thermal Conductivity Crystals via Feature-Based Transfer Learning

Machine Learning to Predict Quasicrystals from Chemical Compositions

Study of Deep Generative Models for Inorganic Chemical Compositions

Recreation of the periodic table with an unsupervised machine learning algorithm

Shotgun crystal structure prediction using machine-learned formation
  energies


Multi-level network clustering based on the Map Equation

Self-Supervised Learning of Object Parts for Semantic Segmentation

Whole-genome microsynteny-based phylogeny of angiosperms

Community Structures, Interactions and Dynamics in London's Bicycle Sharing Network

Genome structure-based Juglandaceae phylogenies contradict alignment-based phylogenies and substitution rates vary with DNA repair genes

Map equation centrality: community-aware centrality based on the map equation

Detecting User Community in Sparse Domain via Cross-Graph Pairwise Learning

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

New Cross-Talks between Pathways Involved in Grapevine Infection with ‘Candidatus Phytoplasma solani’ Revealed by Temporal Network Modelling


SLAM performance evaluation framework

Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM

International Conference on Robotics and Automation

SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM

Robust SLAM Systems: Are We There Yet?

SLAMBooster: An Application-aware Controller for Approximation in SLAM


xOpera orchestrator compliant with TOSCA YAML v1.3 in the making

SODALITE@RT: Orchestrating Applications on Cloud-Edge Infrastructures

Static Analysis of Infrastructure as Code: a Survey

2022 IEEE 19th International Conference on Software Architecture Companion (ICSA-C)

Containerization for High Performance Computing Systems: Survey and Prospects

IEEE transactions on software engineering

Automated Application Deployment on Multi-Access Edge Computing: A Survey

Modeling Different Deployment Variants of a Composite Application in a Single Declarative Deployment Model

A Declarative Modelling Framework for the Deployment and Management of
  Blockchain Applications


Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation

A Contextual-Bandit Approach to Personalized News Article Recommendation

Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation

CIKM - LogUCB: an explore-exploit algorithm for comments recommendation

International Conference on Information and Knowledge Management

Evaluating the Robustness of Off-Policy Evaluation

Off-Policy Evaluation for Large Action Spaces via Embeddings

Policy-Adaptive Estimator Selection for Off-Policy Evaluation

Off-Policy Evaluation for Large Action Spaces via Conjunct Effect
  Modeling

Off-Policy Evaluation of Ranking Policies under Diverse User Behavior

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits

Extending Open Bandit Pipeline to Simulate Industry Challenges


Compiles assumptions on energy system technologies (e.g. costs and efficiencies) for various years.

Speed of technological transformations required in Europe to achieve different climate goals

Cost and efficiency requirements for a successful electricity storage in
  a highly renewable European energy system

The Value of Competing Energy Storage in Decarbonized Power Systems


Separate repository for svSolver

Automated generation of 0D and 1D reduced-order models of patient-specific blood flow

A note on the accuracy of the generalized-alpha scheme for the incompressible Navier-Stokes equations

International journal for numerical methods in engineering

A reduced unified continuum formulation for vascular fluid–structure interaction

svMorph: Interactive geometry-editing tools for virtual patient-specific
  vascular anatomies

Rapid model-guided design of organ-scale synthetic vasculature for biomanufacturing.


Application and Python module for average nucleotide identity analyses of microbes.

Genomics and taxonomy in diagnostics for food security: soft-rotting enterobacterial plant pathogens

New CRISPR-Cas systems from uncultivated microbes

Revisiting the taxonomy and evolution of pathogenicity of the genus Leptospira through the prism of genomics

The Pseudomonas aeruginosa Pan-Genome Provides New Insights on Its Population Structure, Horizontal Gene Transfer, and Pathogenicity

Viromes of one year old infants reveal the impact of birth mode on microbiome diversity

Discovery and characterization of a prevalent human gut bacterial enzyme sufficient for the inactivation of a family of plant toxins

Probiotic Potential and Safety Evaluation of Enterococcus faecalis OB14 and OB15, Isolated From Traditional Tunisian Testouri Cheese and Rigouta, Using Physiological and Genomic Analysis

Molecular Keys to the Janthinobacterium and Duganella spp. Interaction with the Plant Pathogen Fusarium graminearum

Chronicle of a Soil Bacterium: Paenibacillus polymyxa E681 as a Tiny Guardian of Plant and Human Health

Alternative strategies of nutrient acquisition and energy conservation map to the biogeography of marine ammonia-oxidizing archaea


Torch implementation of neural style algorithm

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

A Neural Algorithm of Artistic Style

A Learned Representation For Artistic Style

Demystifying Neural Style Transfer

Artistic Style Transfer for Videos

Artistic Style Transfer for Videos and Spherical Images

International journal of computer vision

Laplacian-Steered Neural Style Transfer

PROCEEDINGS OF THE 2017 ACM MULTIMEDIA CONFERENCE (MM'17)

Multimodal Style Transfer via Graph Cuts

Makeup like a superstar: Deep Localized Makeup Transfer Network

A Deep-Learning-Based Geological Parameterization for History Matching Complex Models


Clustering cONtigs with COverage and ComposiTion

Bioinformatics strategies for taxonomy independent binning and visualization of sequences in shotgun metagenomics

Computational and structural biotechnology journal

IMP: a pipeline for reproducible reference-independent integrated metagenomic and metatranscriptomic analyses

Reconstructing a hydrogen-driven microbial metabolic network in Opalinus Clay rock

CONCOCT: Clustering cONtigs on COverage and ComposiTion

Machine learning for metagenomics: methods and tools

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

RepBin: Constraint-based Graph Representation Learning for Metagenomic
  Binning

IMP: a pipeline for reproducible integrated metagenomic and metatranscriptomic analyses


PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

Neural Lander: Stable Drone Landing Control Using Learned Dynamics

Flightmare: A Flexible Quadrotor Simulator

Learning to Fly -- a Gym Environment with PyBullet Physics for
  Reinforcement Learning of Multi-agent Quadcopter Control

Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control

The Role of Physics-Based Simulators in Robotics

Annual review of control, robotics, and autonomous systems

Autonomous Drone Racing: A Survey

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

A Reinforcement Learning Environment for Multi-Service UAV-enabled Wireless Systems

IEEE International Conference on Pervasive Computing and Communications

Intelligent Position Controller for Unmanned Aerial Vehicles (UAV) Based on Supervised Deep Learning


Deep recommender models using PyTorch.

Session-based Recommendations with Recurrent Neural Networks

Surprise: A Python library for recommender systems

RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms

Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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

Clinical and translational values of spatial transcriptomics

Signal transduction and targeted therapy

Linearly Convergent Frank-Wolfe with Backtracking Line-Search

Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams

Real-Time Learning from an Expert in Deep Recommendation Systems with Application to mHealth for Physical Exercises

IEEE journal of biomedical and health informatics

Reinforced Imitative Graph Learning for Mobile User Profiling

Sequential Recommendations on GitHub Repository


A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Volume Rendering of Neural Implicit Surfaces

Point-Based Neural Rendering with Per-View Optimization

KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D

Nerfstudio: A Modular Framework for Neural Radiance Field Development

HDR-NeRF: High Dynamic Range Neural Radiance Fields

ReLU Fields: The Little Non-linearity That Could

Special Interest Group on Computer Graphics and Interactive Techniques Conference Proceedings

R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis

Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction


The Fastest DNN Running Framework on Web Browser

Moving Deep Learning into Web Browser: How Far Can We Go?

Static inference meets deep learning

Proceedings of the 44th International Conference on Software Engineering

WebDNN: Fastest DNN Execution Framework on Web Browser

HiTyper: A Hybrid Static Type Inference Framework with Neural Prediction.

Towards Understanding the Faults of JavaScript-Based Deep Learning Systems

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering


Geometric Algebra for Python

On computing the determinant, other characteristic polynomial coefficients, and inverse in Clifford algebras of arbitrary dimension

Exploring Novel Surface Representations via an Experimental Ray-Tracer in CGA

Basis-Free Formulas for Characteristic Polynomial Coefficients in Geometric Algebras


Functional tensors for probabilistic programming

Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs

Functional Tensors for Probabilistic Programming

Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language

Variationally Inferred Sampling through a Refined Bound

Variationally Inferred Sampling Through a Refined Bound for Probabilistic Programs


Image-to-image translation with conditional adversarial nets

Image-to-Image Translation with Conditional Adversarial Networks

Shift-Net: Image Inpainting via Deep Feature Rearrangement

Random Sampling for Fast Face Sketch Synthesis

Radar-on-Lidar: metric radar localization on prior lidar maps

SANTIS: Sampling-Augmented Neural neTwork with Incoherent Structure for MR image reconstruction

Scene Compliant Trajectory Forecast With Agent-Centric Spatio-Temporal Grids

SUSAN: Segment Unannotated image Structure using Adversarial Network

River segmentation for flood monitoring

Zenodo (CERN European Organization for Nuclear Research)

CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image Transformation

Semi-Supervised Learning for Face Sketch Synthesis in the Wild


First-principles statistical mechanical software for the study of multi-component crystalline solids

Machine learning materials physics: Integrable deep neural networks enable scale bridging by learning free energy functions

Computer methods in applied mechanics and engineering

Prediction of structure and cation ordering in an ordered normal-inverse double spinel

PRISMS-PF: A general framework for phase-field modeling with a matrix-free finite element method

Prediction of the Al-rich part of the Al-Cu phase diagram using cluster expansion and statistical mechanics

Scale bridging materials physics: Active learning workflows and integrable deep neural networks for free energy function representations in alloys

Comparing crystal structures with symmetry and geometry

Kinetic Monte Carlo simulations of vacancy diffusion in non-dilute Ni-X
  (X=Re,W,Ta) alloys

First-principles analysis of precipitation in Mg-Zn alloys

The Intercalation Chemistry of the Disordered RockSalt Li3V2O5 Anode
  from Cluster Expansions and Machine Learning Interatomic Potentials

Unlocking the origin of compositional fluctuations in InGaN light emitting diodes


AMD Secure Encrypted Virtualization

SEVered: Subverting AMD's Virtual Machine Encryption

PROCEEDINGS OF THE 11TH EUROPEAN WORKSHOP ON SYSTEMS SECURITY (EUROSEC 2018)

CROSSLINE: Breaking "Security-by-Crash" based Memory Isolation in AMD
  SEV

Exploiting Interfaces of Secure Encrypted Virtual Machines

Speedster: A TEE-assisted State Channel System


Set of quantum chemistry programs and libraries

QMCPACK: an open source ab initio quantum Monte Carlo package for the electronic structure of atoms, molecules and solids

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

A Mountaineering Strategy to Excited States: Highly Accurate Reference Energies and Benchmarks.

Journal of chemical theory and computation

Excited States with Selected Configuration Interaction-Quantum Monte Carlo: Chemically Accurate Excitation Energies and Geometries

A Jeziorski-Monkhorst fully uncontracted multi-reference perturbative treatment. I. Principles, second-order versions, and tests on ground state potential energy curves

Alternative definition of excitation amplitudes in multi-reference state-specific coupled cluster.


Transcriptional signature in microglia associated with Aβ plaque phagocytosis

Multi-Omic Approaches Identify Metabolic and Autophagy Regulators Important in Ovarian Cancer Dissemination

A clinical transcriptome approach to patient stratification and therapy selection in acute myeloid leukemia

The 10,000 Immunomes Project: Building a Resource for Human Immunology.

Imputing missing RNA-sequencing data from DNA methylation by using a transfer learning–based neural network

Core transcriptional signatures of phase change in the migratory locust

Identification and functional annotation of long intergenic non-coding RNAs in Brassicaceae

Upon microbial challenge, human neutrophils undergo rapid changes in nuclear architecture and chromatin folding to orchestrate an immediate inflammatory gene program

Inter-tissue convergence of gene expression during ageing suggests age-related loss of tissue and cellular identity

Loss of PRC1 activity in different stem cell compartments activates a common transcriptional program with cell type–dependent outcomes