Trustworthy AI related projects

CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models

Masked Gradient-Based Causal Structure Learning

A Graph Autoencoder Approach to Causal Structure Learning

Ordering-Based Causal Discovery with Reinforcement Learning

gCastle: A Python Toolbox for Causal Discovery

Reinforcement learning on graphs: A survey

FedDAG: Federated DAG Structure Learning

On Low Rank Directed Acyclic Graphs and Causal Structure Learning

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


OpenCL library to train deep convolutional neural networks

Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Multi-column Deep Neural Networks for Image Classification

Deep Learning on FPGAs: Past, Present, and Future

cltorch: a Hardware-Agnostic Backend for the Torch Deep Neural Network Library, Based on OpenCL

GPUReplay: A 50-KB GPU Stack for Client ML


Electronic structure Python package for post analysis and large scale tight-binding DFT/NEGF calculations

Single spin localization and manipulation in graphene open-shell nanostructures

Zenodo (CERN European Organization for Nuclear Research)

Carbon-based nanostructures as a versatile platform for tunable π-magnetism

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

Quantum Interference Engineering of Nanoporous Graphene for Carbon Nanocircuitry

Journal of the American Chemical Society

Charge transport in doped zigzag phosphorene nanoribbons

Phosphorene as a nanoelectromechanical material

Simple and efficient LCAO basis sets for the diffuse states in carbon nanostructures

Electrochemical Control of Charge Current Flow in Nanoporous Graphene

Tailoring giant quantum transport anisotropy in disordered nanoporous graphenes


Evolutionary couplings from protein and RNA sequence alignments

The EVcouplings Python framework for coevolutionary sequence analysis

Inferring protein 3D structure from deep mutation scans

Large-scale discovery of protein interactions at residue resolution using co-evolution calculated from genomic sequences

Multiplexed measurement of variant abundance and activity reveals VKOR topology, active site and human variant impact

The structural basis for regulation of the glutathione transporter Ycf1 by regulatory domain phosphorylation

Dormant spores sense amino acids through the B subunits of their germination receptors

Pan-cancer analysis of transcripts encoding novel open-reading frames (nORFs) and their potential biological functions

Efficient polyethylene terephthalate degradation at moderate temperature: a protein engineering study of LC-cutinase highlights the key role of residue 243

Evidence that regulation of intramembrane proteolysis is mediated by substrate gating during sporulation in Bacillus subtilis

Proteome-scale discovery of protein interactions with residue-level resolution using sequence coevolution


Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework

International Conference on Learning Representations

Auto-Encoding Variational Bayes

Neural Discrete Representation Learning

Variational Inference with Normalizing Flows

Adversarial Autoencoders

Autoencoding beyond pixels using a learned similarity metric

Improved Variational Inference with Inverse Autoregressive Flow

Disentangling by Factorising

Isolating Sources of Disentanglement in Variational Autoencoders

Importance Weighted Autoencoders


Interpretability Methods for tf.keras models with Tensorflow 2.x

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

International Journal of Computer Vision

Axiomatic Attribution for Deep Networks

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

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

Workshop on Applications of Computer Vision

SmoothGrad: removing noise by adding noise

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

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

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

Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review

Deep Learning for the Classification of Non-Hodgkin Lymphoma on Histopathological Images


A rectangular pixel map manipulation and harmonic analysis library derived from Sigurd Naess' enlib.

The Atacama Cosmology Telescope: DR4 maps and cosmological parameters

Journal of Cosmology and Astroparticle Physics

The Atacama Cosmology Telescope: a measurement of the Cosmic Microwave Background power spectra at 98 and 150 GHz

The Atacama Cosmology Telescope: A Catalog of >4000 Sunyaev-Zel'dovich Galaxy Clusters

The Astrophysical Journal Supplement Series

Atacama Cosmology Telescope: Combined kinematic and thermal Sunyaev-Zel'dovich measurements from BOSS CMASS and LOWZ halos

Atacama Cosmology Telescope: Component-separated maps of CMB temperature and the thermal Sunyaev-Zel'dovich effect

The Websky extragalactic CMB simulations

The Atacama Cosmology Telescope: arcminute-resolution maps of 18,000 square degrees of the microwave sky from ACT 2008-2018 data combined with Planck

Joint constraints on cosmology and the impact of baryon feedback: Combining KiDS-1000 lensing with the thermal Sunyaev–Zeldovich effect from Planck and ACT

The Atacama Cosmology Telescope: Detection of the Pairwise Kinematic
  Sunyaev-Zel'dovich Effect with SDSS DR15 Galaxies

Strong detection of the CMB lensing and galaxy weak lensing cross-correlation from ACT-DR4, Planck Legacy, and KiDS-1000


Projection predictive variable selection

Sparsity information and regularization in the horseshoe and other shrinkage priors

Projective inference in high-dimensional problems: Prediction and feature selection

Bayesian Estimation of Gaussian Graphical Models with Predictive Covariance Selection

Latent space projection predictive inference


[CVPR 2023] DepGraph: Towards Any Structural Pruning

Pruning Filters for Efficient ConvNets

Learning Efficient Convolutional Networks through Network Slimming

A Survey of Large Language Models

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

Less is More: Selective Layer Finetuning with SubTuning

Towards Hardware-Specific Automatic Compression of Neural Networks

SwapNet: Efficient Swapping for DNN Inference on Edge AI Devices Beyond the Memory Budget


The SHOC Benchmark Suite

MACC: An OpenACC Transpiler for Automatic Multi-GPU Use

Implementing and Evaluating Candidate-Based Invariant Generation

Overcoming Limitations of GPGPU-Computing in Scientific Applications


Learning embeddings for classification, retrieval and ranking.

Personalizing Dialogue Agents: I have a dog, do you have pets too?

StarSpace: Embed All The Things!

GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Dividing the Ontology Alignment Task with Semantic Embeddings and Logic-based Modules

Breaking-down the Ontology Alignment Task with a Lexical Index and Neural Embeddings

TaskAllocator: A Recommendation Approach for Role-based Tasks Allocation in Agile Software Development

Using hyperbolic large-margin classifiers for biological link prediction

International Joint Conference on Artificial Intelligence


A Julia implementation of Rapid and accurate Radiative Transfer Model for General Circulation Models.


Cortical neuroimaging visualization in Python

Prevalence of increases in functional connectivity in visual, somatosensory and language areas in congenital blindness

Individual variation underlying brain age estimates in typical development

Hearing loss impacts gray and white matter across the lifespan: Systematic review, meta-analysis and meta-regression

Reliability and validity of brain‐gastric phase synchronization


A Python parser for MediaWiki wikicode

Improving language models by retrieving from trillions of tokens

Wikipedia Citations: A comprehensive dataset of citations with identifiers extracted from English Wikipedia

WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community

Vector Embedding of Wikipedia Concepts and Entities

Model Criticism for Long-Form Text Generation

TempEL: Linking Dynamically Evolving and Newly Emerging Entities

Graphemic Normalization of the Perso-Arabic Script

DaMuEL: A Large Multilingual Dataset for Entity Linking

Language-Agnostic Modeling of Wikipedia Articles for Content Quality
  Assessment across Languages

Protection from Evil and Good: The Differential Effects of Page Protection on Wikipedia Article Quality


lumpy: a general probabilistic framework for structural variant discovery

LUMPY: A probabilistic framework for structural variant discovery

One-step generation of complete gene knockout mice and monkeys by CRISPR/Cas9-mediated gene editing with multiple sgRNAs

Whole-genome CNV analysis: advances in computational approaches

CRISPR/Cas9-mediated targeted chromosome elimination

Comprehensive, integrated, and phased whole-genome analysis of the primary ENCODE cell line K562

Characterization of Nigerian breast cancer reveals prevalent homologous recombination deficiency and aggressive molecular features

Unstable chromosome rearrangements in Staphylococcus aureus cause phenotype switching associated with persistent infections

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

Whole-genome analysis for effective clinical diagnosis and gene discovery in early infantile epileptic encephalopathy

Parliament2: Accurate structural variant calling at scale

Whole Genome Sequencing in the Evaluation of Fetal Structural Anomalies: A Parallel Test with Chromosomal Microarray Plus Whole Exome Sequencing


Keras implementation of Deeplab v3+ with pretrained weights

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Rethinking Atrous Convolution for Semantic Image Segmentation

Large-scale detection and categorization of oil spills from SAR images with deep learning

Segmentation of Skin Lesions and their Attributes Using Multi-Scale Convolutional Neural Networks and Domain Specific Augmentations

SPIQ: Data-Free Per-Channel Static Input Quantization

MolMiner: You Only Look Once for Chemical Structure Recognition

Journal of chemical information and modeling


Transactive Energy Service System

Opening Up Transactive Systems: Introducing TESS and Specification in a Field Deployment


The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

Building a global alliance of biofoundries

dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python

Plotly-Resampler: Effective Visual Analytics for Large Time Series

Reverse-zoonoses of 2009 H1N1 pandemic influenza A viruses and evolution in United States swine results in viruses with zoonotic potential

Brand Intelligence Analytics

Leafmap: A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

On the Origin of LLMs: An Evolutionary Tree and Graph for 15,821 Large Language Models

Accessible Color Sequences for Data Visualization

SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks

A global survey of Salmonella plasmids and their associations with antimicrobial resistance


ABY - A Framework for Efficient Mixed-protocol Secure Two-party Computation

Secure and Efficient Federated Transfer Learning

Outis: Crypto-Assisted Differential Privacy on Untrusted Servers

Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation

Secure Machine Learning over Relational Data


Differential privacy validator and runtime

Precision-based attacks and interval refining: how to break, then fix, differential privacy on finite computers

Widespread Underestimation of Sensitivity in Differentially Private Libraries and How to Fix It

Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry

Differential Privacy: What is all the noise about?


LD Score Regression (LDSC)

Partitioning heritability by functional annotation using genome-wide association summary statistics

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

Genome-wide association study identifies 74 loci associated with educational attainment

Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry

Genome-wide association studies of brain imaging phenotypes in UK Biobank

Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders

Genetic identification of brain cell types underlying schizophrenia

Comparative genetic architectures of schizophrenia in East Asian and European populations

Meta-analysis of GWAS of over 16,000 individuals with autism spectrum disorder highlights a novel locus at 10q24.32 and a significant overlap with schizophrenia

Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors


Central repository for tools, tutorials, resources, and documentation for robotics simulation in Unity.

Using Physics-Based Digital Twins and Extended Reality for the Safety and Ergonomics Evaluation of Cobotic Workstations

Shared-Control Robotic Manipulation in Virtual Reality

A Coarse-to-Fine Framework for Dual-Arm Manipulation of Deformable Linear Objects with Whole-Body Obstacle Avoidance

OpenVR: Teleoperation for Manipulation

MultiRoboLearn: An open-source Framework for Multi-robot Deep Reinforcement Learning

Intuitive Robot Integration via Virtual Reality Workspaces

Low-Cost Digital Twin Approach and Tools to Support Industry and Academia: A Case Study Connecting High-Schools with High Degree Education

Virtual Reality Digital Twin and Environment for Troubleshooting Lunar-based Infrastructure Assembly Failures

Low-Cost Teleoperation with Haptic Feedback through Vision-based Tactile
  Sensors for Rigid and Soft Object Manipulation


Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

U-Net: Convolutional Networks for Biomedical Image Segmentation

Pyramid Scene Parsing Network

Fully Convolutional Instance-aware Semantic Segmentation

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

Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review

An attention-based U-Net for detecting deforestation within satellite sensor imagery

International Journal of Applied Earth Observation and Geoinformation

Autonomous Crop Row Guidance Using Adaptive Multi-ROI in Strawberry Fields

Deep Learning Fast Screening Approach on Cytological Whole Slides for Thyroid Cancer Diagnosis

Image Segmentation Keras : Implementation of Segnet, FCN, UNet, PSPNet and other models in Keras

Fast Segmentation of Metastatic Foci in H&E Whole-Slide Images for Breast Cancer Diagnosis


The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Segment Anything

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Segment Anything Model for Medical Images?

SAM 2: Segment Anything in Images and Videos

Segment Any Anomaly without Training via Hybrid Prompt Regularization

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

CellViT: Vision Transformers for Precise Cell Segmentation and Classification

Probing the 3D Awareness of Visual Foundation Models

Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization

SAM Meets Robotic Surgery: An Empirical Study in Robustness Perspective


Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network,  in Pytorch

Hierarchical Text-Conditional Image Generation with CLIP Latents

RePaint: Inpainting using Denoising Diffusion Probabilistic Models

Efficient Attention: Attention with Linear Complexities

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

Vector-quantized Image Modeling with Improved VQGAN

Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models

DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models

Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models

AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics

CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models


Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest

Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images

Visualize Before You Write: Imagination-Guided Open-Ended Text Generation

Prompt Tuning for Generative Multimodal Pretrained Models

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

FAITHSCORE: Evaluating Hallucinations in Large Vision-Language Models

You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model

IFSeg: Image-free Semantic Segmentation via Vision-Language Model


TigerBot: A multi-language multi-task LLM

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

YaRN: Efficient Context Window Extension of Large Language Models

Evaluating Large Language Models for Radiology Natural Language Processing

ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data

Evaluating the Generation Capabilities of Large Chinese Language Models

TigerBot: An Open Multilingual Multitask LLM

Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges

MedChatZH: a Better Medical Adviser Learns from Better Instructions


Cedille, a dependently typed programming languages based on the Calculus of Dependent Lambda Eliminations

Elaborating Inductive Definitions and Course-of-Values Induction in Cedille.

Efficient lambda encodings for Mendler-style coinductive types in Cedille


Clone a voice in 5 seconds to generate arbitrary speech in real-time

Tacotron: Towards End-to-End Speech Synthesis

Generalized End-to-End Loss for Speaker Verification

Efficient Neural Audio Synthesis

Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis

Preech: A System for Privacy-Preserving Speech Transcription

Learning Efficient Representations for Fake Speech Detection

THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

"Hello, It's Me": Deep Learning-based Speech Synthesis Attacks in the Real World

Conference on Computer and Communications Security

A Text-to-Speech Pipeline, Evaluation Methodology, and Initial Fine-Tuning Results for Child Speech Synthesis

DuTa-VC: A Duration-aware Typical-to-atypical Voice Conversion Approach with Diffusion Probabilistic Model

Lip-to-Speech Synthesis for Arbitrary Speakers in the Wild

Proceedings of the 30th ACM International Conference on Multimedia


Modelica BuildingSystems library


A Python library for reading, validating, and writing transit schedule information in the GTFS format.

Multimodal urban mobility and multilayer transport networks

Unavailable Transit Feed Specification: Making It Available With Recurrent Neural Networks

IEEE Transactions on Intelligent Transportation Systems


Fast, general, and tested differentiable structured prediction in PyTorch

Fast and Accurate Neural CRF Constituency Parsing

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

Torch-Struct: Deep Structured Prediction Library

SynJax: Structured Probability Distributions for JAX


DAMO-ConvAI: The official repository which contains the codebase for Alibaba DAMO Conversational AI.

Preference Ranking Optimization for Human Alignment

Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning

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

API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs

Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing

Wider and Deeper LLM Networks are Fairer LLM Evaluators

Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation

Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding

Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing

Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing

SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding


RL implementations

The StarCraft Multi-Agent Challenge

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

MAVEN: Multi-Agent Variational Exploration

Deep Coordination Graphs

Eureka: Human-Level Reward Design via Coding Large Language Models

DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality

Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger

EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine

Benchmarking Offline Reinforcement Learning on Real-Robot Hardware

DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training


Official repository for Semantic Web for Earth and Environmental Terminology (SWEET) Ontologies

Ontology engineering methodologies for the evolution of living and reused ontologies: status, trends, findings and recommendations

Artificial intelligence in space


Development of the Ocean Data and Information System (ODIS) architecture


pix2tex: Using a ViT to convert images of equations into LaTeX code.

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

Image-to-Markup Generation with Coarse-to-Fine Attention

Nougat: Neural Optical Understanding for Academic Documents

GeoGalactica: A Scientific Large Language Model in Geoscience

TEIMMA: The First Content Reuse Annotator for Text, Images, and Math

OmniFusion Technical Report

MinerU: An Open-Source Solution for Precise Document Content Extraction


A Fast and Extensible DRAM Simulator, with built-in support for modeling many different DRAM technologies including DDRx, LPDDRx, GDDRx, WIOx, HBMx, and various academic proposals. Described in the IEEE CAL 2015 paper by Kim et al. at http://users.ece.cmu.edu/~omutlu/pub/ramulator_dram_simulator-ieee-cal15.pdf

Understanding Reduced-Voltage Operation in Modern DRAM Devices

GRIM-Filter: Fast seed location filtering in DNA read mapping using processing-in-memory technologies

D-RaNGe: Using Commodity DRAM Devices to Generate True Random Numbers with Low Latency and High Throughput

SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures

FIGARO: Improving System Performance via Fine-Grained In-DRAM Data Relocation and Caching

Understanding and Improving the Latency of DRAM-Based Memory Systems

Enabling the Adoption of Processing-in-Memory: Challenges, Mechanisms, Future Research Directions

QUAC-TRNG: High-Throughput True Random Number Generation Using Quadruple Row Activation in Commodity DRAM Chips

CLR-DRAM: A Low-Cost DRAM Architecture Enabling Dynamic Capacity-Latency Trade-Off

Enabling Practical Processing in and near Memory for Data-Intensive Computing


YOLO ROS: Real-Time Object Detection for ROS

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

CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge

Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned

GazeEMD: Detecting Visual Intention in Gaze-Based Human-Robot Interaction

Implementation of a System for Real-Time Detection and Localization of Terrain Objects on Harvested Forest Land

Real-Time 3D UAV Pose Estimation by Visualization

Innovation Aviation & Aerospace Industry - International Conference 2020

Global Localization in Unstructured Environments Using Semantic Object Maps Built from Various Viewpoints

Flexible Gear Assembly with Visual Servoing and Force Feedback

AMORE: CNN-BASED MOVING OBJECT DETECTION AND REMOVAL TOWARDS SLAM IN DYNAMIC ENVIRONMENTS

The South African Journal of Industrial Engineering

View-Invariant Localization using Semantic Objects in Changing Environments


Phonetisaurus G2P

The fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, task and baselines

Simple and Effective Zero-shot Cross-lingual Phoneme Recognition

Design Challenges in Named Entity Transliteration

Exploration of End-to-End ASR for OpenSTT - Russian Open Speech-to-Text Dataset

Assisting Maritime Search and Rescue (SAR) Personnel with AI-Based Speech Recognition and Smart Direction Finding

Journal of Marine Science and Engineering

The THUEE System Description for the IARPA OpenASR21 Challenge

LinTO Platform: A Smart Open Voice Assistant for Business Environments

Dealing with dialectal variation in the construction of the Basque historical corpus

Workshop on NLP for Similar Languages, Varieties and Dialects

Towards Turkish ASR: Anatomy of a rule-based Turkish g2p


Python implementation of the NEAT neuroevolution algorithm

EGAD! An Evolved Grasping Analysis Dataset for Diversity and Reproducibility in Robotic Manipulation

Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots

Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems

Class binarization to neuroevolution for multiclass classification

Seeking Quality Diversity in Evolutionary Co-design of Morphology and Control of Soft Tensegrity Modular Robots

Proceedings of the Genetic and Evolutionary Computation Conference

GeneSys: Enabling Continuous Learning through Neural Network Evolution in Hardware

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

Evolving Neural Networks through a Reverse Encoding Tree

Evolutionary Optimization of Spiking Neural P Systems for Remaining Useful Life Prediction

Systematic perturbation of an artificial neural network: A step towards quantifying causal contributions in the brain


CLIP (Contrastive Language-Image Pretraining),  Predict the most relevant text snippet given an image

Learning Transferable Visual Models From Natural Language Supervision

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

On the Opportunities and Risks of Foundation Models

Learning to Prompt for Vision-Language Models

Conditional Prompt Learning for Vision-Language Models

CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

Robust fine-tuning of zero-shot models

EVA: Exploring the Limits of Masked Visual Representation Learning at Scale

CLIPort: What and Where Pathways for Robotic Manipulation


Creative Commons Attribution 4.0 International

Data formats for gamma-ray astronomy

Open high-level data formats and software for gamma-ray astronomy

Evolution of Data Formats in Very-High-Energy Gamma-ray Astronomy

H.E.S.S. first public test data release

Zenodo (CERN European Organization for Nuclear Research)

Standardisation of Data Formats in Gamma-ray Astronomy


National Carbon Credit Registry Digital Public Good (DPG) by Digital For Climate (D4C) collaboration. Code coordinated by ExO/CDO & BPPS/Climate.


LabGraph is a Python framework for rapidly prototyping experimental systems for real-time streaming applications. It is particularly well-suited to real-time neuroscience, physiology and psychology experiments.

Scalable, modular continuous wave functional near-infrared spectroscopy system (Spotlight)

User Training with Error Augmentation for Electromyogram-based Gesture Classification

Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder


A General NeRF Acceleration Toolbox in PyTorch.

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

NerfAcc: A General NeRF Acceleration Toolbox

OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects


Qualcomm Atheros Open Powerline Toolkit.

State of the Art in Power Line Communications: From the Applications to the Medium

IEEE Journal on Selected Areas in Communications

How CSMA/CA With Deferral Affects Performance and Dynamics in Power-Line Communications

Measurement-based Condition Monitoring of Railway Signaling Cables


a toolkit for working with Oxford nanopore data

Extensive sequencing of seven human genomes to characterize benchmark reference materials

Poretools: a toolkit for analyzing nanopore sequence data

MinION Analysis and Reference Consortium: Phase 1 data release and analysis

Computational methods for 16S metabarcoding studies using Nanopore sequencing data

Computational and structural biotechnology journal

SquiggleKit: a toolkit for manipulating nanopore signal data

The Dark Matter of Large Cereal Genomes: Long Tandem Repeats

International journal of molecular sciences


Torchreid: Deep learning person re-identification in PyTorch.

Omni-Scale Feature Learning for Person Re-Identification

Domain Generalization with MixStyle

Style Normalization and Restitution for Generalizable Person Re-identification

Deep Transfer Learning for Person Re-identification

Learning Generalisable Omni-Scale Representations for Person Re-Identification

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

Body Part-Based Representation Learning for Occluded Person Re-Identification

MixStyle Neural Networks for Domain Generalization and Adaptation

Information Retrieval: Recent Advances and Beyond

Joint Person Objectness and Repulsion for Person Search

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


PReconditioned Iterative MultiMethod Eigensolver for solving symmetric/Hermitian eigenvalue problems and singular value problems

PRIMME_SVDS: A High-Performance Preconditioned SVD Solver for Accurate Large-Scale Computations

Scalable Spectral Clustering Using Random Binning Features

Algorithm xxx: Faster Randomized SVD with Dynamic Shifts

svds-C: A Multi-Thread C Code for Computing Truncated Singular Value
  Decomposition


Allows multiple parties to agree on transactions before execution.

Harvey: A Greybox Fuzzer for Smart Contracts

Targeted Greybox Fuzzing with Static Lookahead Analysis

Practical Mitigation of Smart Contract Bugs

Key Event Receipt Infrastructure (KERI)

Learning Inputs in Greybox Fuzzing

Wallet Contracts on Ethereum -- Identification, Types, Usage, and Profiles


Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

A Guide on Deep Learning for Complex Trait Genomic Prediction

Machine Learning in Business Process Monitoring: A Comparison of Deep Learning and Classical Approaches Used for Outcome Prediction

Phenotype Prediction and Genome-Wide Association Study Using Deep Convolutional Neural Network of Soybean

Predicting the impact of non-coding variants on DNA methylation

Prediction of Drug-Likeness Using Deep Autoencoder Neural Networks

Predicting and characterizing a cancer dependency map of tumors with deep learning

CheMixNet: Mixed DNN Architectures for Predicting Chemical Properties using Multiple Molecular Representations

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

XEM: An explainable-by-design ensemble method for multivariate time series classification


Monte Carlo Simulation propagating charged Leptons through Media as C++ Library

PROPOSAL: A library to propagate leptons and high energy photons

A C++ Cherenkov photons simulation in CORSIKA 8

The effect of improved high-energy muon cross-sections

Improvements in charged lepton and photon propagation for the software PROPOSAL


Running large language models on a single GPU for throughput-oriented scenarios.

FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU

Can Foundation Models Wrangle Your Data?

Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems

Understanding LLMs: A Comprehensive Overview from Training to Inference

KV Cache Compression, But What Must We Give in Return? A Comprehensive
  Benchmark of Long Context Capable Approaches


This repository contains implementations of photovoltaic models to calculate electricity generation from a pv installation based on given solar radiation. Furthermore it contains all necessary pre-calculations.

The eGo grid model: An open source approach towards a model of German high and extra-high voltage power grids

SCIGRID INTERNATIONAL CONFERENCE ON POWER GRID MODELLING


Python implementations of the Boruta all-relevant feature selection method.

Feature Selection with the Boruta Package

Identifying Transcriptomic Signatures and Rules for SARS-CoV-2 Infection

Frontiers in cell and developmental biology

Feature Selection Algorithms as One of the Python Data Analytical Tools

BioCompoundML: A General Biofuel Property Screening Tool for Biological Molecules Using Random Forest Classifiers

Deep Learning Prediction of Adverse Drug Reactions in Drug Discovery Using Open TG–GATEs and FAERS Databases

Identification of Cell Markers and Their Expression Patterns in Skin Based on Single-Cell RNA-Sequencing Profiles

AI and High-Grade Glioma for Diagnosis and Outcome Prediction: Do All Machine Learning Models Perform Equally Well?

Breast Cancer Classification on Multiparametric MRI – Increased Performance of Boosting Ensemble Methods

Technology in cancer research & treatment

Identifying the Signatures and Rules of Circulating Extracellular MicroRNA for Distinguishing Cancer Subtypes

Investigation and Prediction of Human Interactome Based on Quantitative Features

Frontiers in bioengineering and biotechnology


InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output

Compositional Semantic Parsing on Semi-Structured Tables

ShareGPT4V: Improving Large Multi-Modal Models with Better Captions

InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition

InternLM-XComposer2: Mastering Free-form Text-Image Composition and
  Comprehension in Vision-Language Large Model

InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model
  Handling Resolutions from 336 Pixels to 4K HD

DualFocus: Integrating Macro and Micro Perspectives in Multi-modal Large
  Language Models

Debiasing Multimodal Large Language Models


in-toto Attestation Framework

An Empirically Grounded Reference Architecture for Software Supply Chain Metadata Management


The NCAR Command Language (NCL) is a scripting language for the analysis and visualization of climate and weather data.

Subtle influence of the Atlantic Meridional Overturning Circulation (AMOC) on seasonal sea surface temperature (SST) hindcast skill in the North Atlantic


Make human motion capture easier.

Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans

Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Control

Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views

Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering

Structured Local Radiance Fields for Human Avatar Modeling

Reconstructing 3D Human Pose by Watching Humans in the Mirror

Motion Capture from Internet Videos

AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture

Novel View Synthesis of Human Interactions from Sparse Multi-view Videos

Special Interest Group on Computer Graphics and Interactive Techniques Conference Proceedings

Dynamic Multi-Person Mesh Recovery From Uncalibrated Multi-View Cameras


Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

Translating Embeddings for Modeling Multi-relational Data

Complex Embeddings for Simple Link Prediction

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

A Survey on Knowledge Graphs: Representation, Acquisition, and Applications

IEEE transactions on neural networks and learning systems

Holographic Embeddings of Knowledge Graphs

Knowledge Graph Embedding for Link Prediction: A Comparative Analysis

Knowledge Graph Completion via Complex Tensor Factorization

Knowledge Graph Embeddings and Explainable AI

LibKGE - A knowledge graph embedding library for reproducible research

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING: SYSTEM DEMONSTRATIONS

Probability Calibration for Knowledge Graph Embedding Models


Physical Optics Propagation in Python

Review of high-contrast imaging systems for current and future ground- and space-based telescopes I. Coronagraph design methods and optical performance metrics

Space Telescopes and Instrumentation 2018: Optical, Infrared, and Millimeter Wave

Kernel Phase and Coronagraphy with Automatic Differentiation

Modeling coronagraphic extreme wavefront control systems for high contrast imaging in ground and space telescope missions


Genome assembly evaluation tool

Evolutionary superscaffolding and chromosome anchoring to improve Anopheles genome assemblies

HASLR: Fast Hybrid Assembly of Long Reads

Tutorial: assessing metagenomics software with the CAMI benchmarking toolkit

Emergence of Meropenem Resistance Among Cefotaxime Non-susceptible Streptococcus pneumoniae: Evidence and Challenges

Toward an Integrated Genome-Based Surveillance of Salmonella enterica in Germany

Comparison of De Novo Assembly Strategies for Bacterial Genomes

Strainline: full-length de novo viral haplotype reconstruction from noisy long reads

Evaluating assembly and variant calling software for strain-resolved analysis of large DNA viruses

De novo assembly of human genome at single-cell levels

Evolution of longitudinal division in multicellular bacteria of the Neisseriaceae family


Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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

Going deeper with Image Transformers

MaxViT: Multi-Axis Vision Transformer

Efficient Training of Visual Transformers with Small Datasets

Injecting Semantic Concepts into End-to-End Image Captioning

Three things everyone should know about Vision Transformers

Rethinking Range View Representation for LiDAR Segmentation

COVID-VIT: Classification of COVID-19 from CT chest images based on vision transformer models

Parameter Prediction for Unseen Deep Architectures

Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution


Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

PyGAD: An Intuitive Genetic Algorithm Python Library

ZOOpt: a toolbox for derivative-free optimization

Prototype-based Counterfactual Explanation for Causal Classification.

CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows

Causality-based Counterfactual Explanation for Classification Models


Julia implementation for various Frank-Wolfe and Conditional Gradient variants

Learning with Combinatorial Optimization Layers: a Probabilistic Approach

Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings

Conditional Gradient Methods


Source code/webpage/demos for the What-If Tool

The What-If Tool: Interactive Probing of Machine Learning Models

IEEE transactions on visualization and computer graphics

Towards a multi-stakeholder value-based assessment framework for algorithmic systems

Conference on Fairness, Accountability and Transparency

Ethically Responsible Machine Learning in Fintech

Leverage zones in Responsible AI: towards a systems thinking conceptualization

Humanities and Social Sciences Communications

The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry

Design Patterns for Machine Learning Based Systems with Human-in-the-Loop

Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks


Astronomy & Astrophysics Software Pacakge

The Large Array Survey Telescope—System Overview and Performances

The Large Array Survey Telescope -- Science Goals

The Large Array Survey Telescope—Pipeline. I. Basic Image Reduction and Visit Coaddition

UV to near-IR observations of the DART-Dimorphos collision


Software package and ROS wrappers of the Aruco Augmented Reality marker detector library

CLIPort: What and Where Pathways for Robotic Manipulation

Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation

Contrastive Imitation Learning for Language-guided Multi-Task Robotic Manipulation


A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

BugsInPy: a database of existing bugs in Python programs to enable controlled testing and debugging studies

PROCEEDINGS OF THE 28TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '20)

Ten simple rules and a template for creating workflows-as-applications

Integration of Structured Biological Data Sources using Biological Expression Language

Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face

Councils in Action: Automating the Curation of Municipal Governance Data for Research

mlf-core: a framework for deterministic machine learning

Hecatomb: an integrated software platform for viral metagenomics

Mining Bug Repositories for Multi-Fault Programs


GeoClimate: a Geospatial processing toolbox for environmental and climate studies


Time Ordered Astrophysics Scalable Tools

Planck intermediate results. LVII. Joint Planck LFI and HFI data processing

HAL (Le Centre pour la Communication Scientifique Directe)

Exploring cosmic origins with CORE: Mitigation of systematic effects

Journal of Cosmology and Astroparticle Physics

Full-sky beam convolution for cosmic microwave background applications

Monthly notices of the Royal Astronomical Society

Simulating Calibration and Beam Systematics for a Future CMB Space Mission with the TOAST Package

MAPPRAISER: A massively parallel map-making framework for multi-kilo pixel CMB experiments

The Simons Observatory: Beam Characterization for the Small Aperture Telescopes

Polarization and variability of compact sources measured in Planck time-ordered data


common in-memory tensor structure

PyTorch: An Imperative Style, High-Performance Deep Learning Library

Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks

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

Bringing UMAP Closer to the Speed of Light with GPU Acceleration

PySAGES: flexible, advanced sampling methods accelerated with GPUs

A Memory-Efficient Neural Ordinary Differential Equation Framework Based on High-Level Adjoint Differentiation

GPU Accelerated Exhaustive Search for Optimal Ensemble of Black-Box Optimization Algorithms

SOL: Effortless Device Support for AI Frameworks without Source Code Changes

T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on
  Edge


Regulatory Genomics Toolbox: Python library and set of tools for the integrative analysis of high throughput regulatory genomics data.

Identification of transcription factor binding sites using ATAC-seq

Chromatin-accessibility estimation from single-cell ATAC-seq data with scOpen

RGT: a toolbox for the integrative analysis of high throughput regulatory genomics data


GalSim based Rubin Observatory image simulation package

The LSST DESC DC2 Simulated Sky Survey

The Astrophysical Journal Supplement Series

MIRISim: A Simulator for the Mid-Infrared Instrument on JWST

Monthly Notices of the Royal Astronomical Society

SNIa Cosmology Analysis Results from Simulated LSST Images: From Difference Imaging to Constraints on Dark Energy

The LSST DESC data challenge 1: generation and analysis of synthetic images for next-generation surveys

A joint Roman Space Telescope and Rubin Observatory synthetic wide-field imaging survey

Image simulations for strong and weak gravitational lensing

Enabling Catalog Simulations of Transient and Variable Sources Based on LSST Cadence Strategies

Improving Photometric Redshift Estimates with Training Sample Augmentation

The Active Optics System on the Vera C. Rubin Observatory: Optimal
  Control of Degeneracy Among the Large Number of Degrees of Freedom


A graphical processor simulator and assembly editor for the RISC-V ISA

A RISC-V SystemC-TLM simulator


distributed, likelihood-free inference

pyABC: Efficient and robust easy-to-use approximate Bayesian computation

Efficient exact inference for dynamical systems with noisy measurements using sequential approximate Bayesian computation

Robust adaptive distance functions for approximate Bayesian inference on outlier-corrupted data

FitMultiCell: Simulating and parameterizing computational models of multi-scale and multi-cellular processes


NumPy & SciPy for GPU

ChainerCV: a Library for Deep Learning in Computer Vision

On Distribution Shift in Learning-based Bug Detectors

Iterative static field map estimation for off‐resonance correction in non‐Cartesian susceptibility weighted imaging

Long-Range Nonequilibrium Coherent Tunneling Induced by Fractional Vibronic Resonances.

Changes from the Trenches: Should We Automate Them?

AMReX and pyAMReX: Looking Beyond ECP

2D Simplified Wildfire Spreading Model in Python: From NumPy to CuPy

Accelerating Spectroscopic Data Processing Using Python and GPUs on NERSC Supercomputers

Proceedings of the Python in Science Conferences


Deep GPs built on top of TensorFlow/Keras and GPflow

Deep Gaussian Process Emulation using Stochastic Imputation

GPflux: A Library for Deep Gaussian Processes

A Unifying Perspective on Non-Stationary Kernels for Deeper Gaussian Processes

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


General technology for enabling AI capabilities w/ LLMs and MLLMs

Automatic Prompt Optimization with "Gradient Descent" and Beam Search

Optimizing Prompts for Text-to-Image Generation

Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers

Adapting Large Language Models via Reading Comprehension

Knowledge Distillation of Large Language Models

UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation

Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Inference with Reference: Lossless Acceleration of Large Language Models

Learning to Retrieve In-Context Examples for Large Language Models

DistiLLM: Towards Streamlined Distillation for Large Language Models


A package for capturing and analyzing network flow data and intraflow data, for network research, forensics, and security monitoring.

Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning

Real Network Traffic Collection and Deep Learning for Mobile App Identification

Wireless Communications and Mobile Computing

OS Fingerprinting: New Techniques and a Study of Information Gain and Obfuscation

Towards Network Anomaly Detection Using Graph Embedding

Revisiting IoT Device Identification

Unsupervised Detection and Clustering of Malicious TLS Flows

Neurosymbolic Systems of Perception & Cognition: The Role of Attention

Network Traffic Classification based on Single Flow Time Series Analysis

Traffic Analytics Development Kits (TADK): Enable Real-Time AI Inference in Networking Apps

International Conference on Ubiquitous and Future Networks

NetTiSA: Extended IP Flow with Time-series Features for Universal Bandwidth-constrained High-speed Network Traffic Classification


Evaluation functions for music/audio information retrieval/signal processing algorithms.

SDR - half-baked or well done?

A VARIANCE MODELING FRAMEWORK BASED ON VARIATIONAL AUTOENCODERS FOR SPEECH ENHANCEMENT

International Workshop on Machine Learning for Signal Processing

Audio-Based Music Structure Analysis: Current Trends, Open Challenges, and Applications

Transactions of the International Society for Music Information Retrieval

Evaluating Hierarchical Structure in Music Annotations

ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data

DNN-Based Mask Estimation for Distributed Speech Enhancement in Spatially Unconstrained Microphone Arrays

Robust Unsupervised Audio-visual Speech Enhancement Using a Mixture of Variational Autoencoders

SDR -- Medium Rare with Fast Computations

Revisiting the Onsets and Frames Model with Additive Attention

Diffroll: Diffusion-Based Generative Music Transcription with Unsupervised Pretraining Capability


Collection of tools for analyzing open source packages.

Practical Automated Detection of Malicious npm Packages

Proceedings of the 44th International Conference on Software Engineering

Bad Snakes: Understanding and Improving Python Package Index Malware Scanning

Malicious Package Detection in NPM and PyPI using a Single Model of Malicious Behavior Sequence

On the Feasibility of Cross-Language Detection of Malicious Packages in npm and PyPI

Asia-Pacific Computer Systems Architecture Conference


NLP tools for Turkish.

Embeddings-Based Clustering for Target Specific Stances: The Case of a Polarized Turkey

Data and Representation for Turkish Natural Language Inference

Morphological Word Segmentation on Agglutinative Languages for Neural Machine Translation

COVID-19 Tweets Classification Based on a Hybrid Word Embedding Method

Sentimental Analysis of Twitter Users from Turkish Content with Natural Language Processing

Computational intelligence and neuroscience

Named Entity Recognition on Twitter for Turkish using Semi-supervised Learning with Word Embeddings

An Open, Extendible, and Fast Turkish Morphological Analyzer

Recent Advances in Natural Language Processing

Multi-Task Neural Model for Agglutinative Language Translation

Meeting of the Association for Computational Linguistics

A Comparison of Different Approaches to Document Representation in Turkish Language

Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi

#Turki$hTweets: A Benchmark Dataset for Turkish Text Correction


The Variable Infiltration Capacity (VIC) Macroscale Hydrologic Model

The Variable Infiltration Capacity model version 5 (VIC-5): infrastructure improvements for new applications and reproducibility

Climate-driven disturbances in the San Juan River sub-basin of the Colorado River

Accuracy evaluation of GPM multi-satellite precipitation products in the hydrological application over alpine and gorge regions with sparse rain gauge network

Quantifying the impacts of land cover change on hydrological responses in the Mahanadi river basin in India

Integration of 2D Lateral Groundwater Flow into the Variable Infiltration Capacity (VIC) Model and Effects on Simulated Fluxes for Different Grid Resolutions and Aquifer Diffusivities

MOD-LSP, MODIS-based parameters for hydrologic modeling of North American land cover change

Dual state/rainfall correction via soil moisture assimilation for improved streamflow simulation: evaluation of a large-scale implementation with Soil Moisture Active Passive (SMAP) satellite data

A near-global, high resolution land surface parameter dataset for the variable infiltration capacity model

Ubiquitous increases in flood magnitude in the Columbia River basin under climate change

Concurrent Changes in Extreme Hydroclimate Events in the Colorado River Basin


C++ library for zkSNARKs

Advances and Open Problems in Federated Learning

Untangling Blockchain: A Data Processing View of Blockchain Systems

A blockchain-based scheme for privacy-preserving and secure sharing of medical data

DECO: Liberating Web Data Using Decentralized Oracles for TLS

Conference on Computer and Communications Security

zkBridge: Trustless Cross-chain Bridges Made Practical

VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service

Non-Interactive Zero-Knowledge for Blockchain: A Survey

ZETH: On Integrating Zerocash on Ethereum

SEAL: A Strategy-Proof and Privacy-Preserving UAV Computation Offloading Framework

ZKlaims: Privacy-preserving Attribute-based Credentials using Non-interactive Zero-knowledge Techniques

PROCEEDINGS OF THE 16TH INTERNATIONAL JOINT CONFERENCE ON E-BUSINESS AND TELECOMMUNICATIONS, VOL 2: SECRYPT


Coordinate- and image-based meta-analysis in Python

NiMARE: Neuroimaging Meta-Analysis Research Environment

Functional topography of anger and aggression in the human cerebellum

The human cerebellum in reward anticipation and outcome processing: An activation likelihood estimation meta-analysis

Revealing the neurobiology underlying interpersonal neural synchronization with multimodal data fusion

Neuroscout, a unified platform for generalizable and reproducible fMRI research

An Ontological Framework to Facilitate Early Detection of ‘Radicalization’ (OFEDR)—A Three World Perspective

The involvement of brain regions associated with lower KPS and shorter survival time predicts a poor prognosis in glioma


LibKGE - A knowledge graph embedding library for reproducible research

A Survey on Knowledge Graphs: Representation, Acquisition, and Applications

IEEE transactions on neural networks and learning systems

You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings

International Conference on Learning Representations

CoDEx: A Comprehensive Knowledge Graph Completion Benchmark

Knowledge Graph Embeddings and Explainable AI

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING: SYSTEM DEMONSTRATIONS

Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs

Logical Message Passing Networks with One-hop Inference on Atomic Formulas

Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding

Sem@K: Is my knowledge graph embedding model semantic-aware?

A Multilingual Bag-of-Entities Model for Zero-Shot Cross-Lingual Text Classification


Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

Google Vizier: A Service for Black-Box Optimization

Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization

Massively Parallel Genetic Optimization through Asynchronous Propagation of Populations

OmniPred: Language Models as Universal Regressors

The Vizier Gaussian Process Bandit Algorithm

Reinforced In-Context Black-Box Optimization


Data and tools for generating and inspecting OLMo pre-training data.

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

Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Dolma: an Open Corpus of Three Trillion Tokens for Language Model
  Pretraining Research

MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

A Survey on Data Selection for Language Models

Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion
  Tokens

AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters

Optimizing Distributed Training on Frontier for Large Language Models

The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources

Large Language Models Meet Computer Vision: A Brief Survey


line drawing colorization using chainer

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

Comicolorization: Semi-Automatic Manga Colorization

Automatic Temporally Coherent Video Colorization

Reference-guided structure-aware deep sketch colorization for cartoons

LUCSS: Language-based User-customized Colourization of Scene Sketches


R package for DNA methylation analysis

Genomic basis of high-altitude adaptation in Tibetan Prunus fruit trees

Epigenetics and Early Life Stress: Experimental Brood Size Affects DNA Methylation in Great Tits (Parus major)

Mutation, methylation, and gene expression profiles in dup(1q)-positive pediatric B-cell precursor acute lymphoblastic leukemia

Reduced non-CpG methylation is a potential epigenetic target after spinal cord injury


Python-interface C++ library for Bayesian phylogenetics via optimization

A Variational Approach to Bayesian Phylogenetic Inference

Automatic Differentiation is no Panacea for Phylogenetic Gradient Computation


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

MLP-Mixer: An all-MLP Architecture for Vision

How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers

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

When Vision Transformers Outperform ResNets without Pretraining or Strong Data Augmentations

Exploring the Limits of Out-of-Distribution Detection

Transformer for Image Quality Assessment

Surrogate Gap Minimization Improves Sharpness-Aware Training

Emerging trends: A gentle introduction to fine-tuning

A survey of the vision transformers and their CNN-transformer based variants


[LLVM Static Slicer] Various program analyses, construction of dependence graphs and program slicing of LLVM bitcode.

VulDeeLocator: A Deep Learning-Based Fine-Grained Vulnerability Detector

IEEE Transactions on Dependable and Secure Computing

FirmUSB: Vetting USB Device Firmware using Domain Informed Symbolic Execution

Checking is Believing: Event-Aware Program Anomaly Detection in Cyber-Physical Systems

SymPas: Symbolic Program Slicing

SBT-instrumentation: A Tool for Configurable Instrumentation of LLVM Bitcode

DG: A program analysis library

PROGRAMMING LANGUAGES AND SYSTEMS, APLAS 2021

Proving LTL Properties of Bitvector Programs and Decompiled Binaries (Extended)


Distributed multigrid linear solver library on GPU

Poisson CNN: Convolutional neural networks for the solution of the Poisson equation on a Cartesian mesh

AMG based on compatible weighted matching for GPUs

A Multi-GPU Aggregation-Based AMG Preconditioner for Iterative Linear Solvers

Towards a Machine-Learned Poisson Solver for Low-Temperature Plasma Simulations in Complex Geometries

Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems


Transparent and robust SARS-CoV-2 variant calling and lineage assignment with comprehensive reporting.

SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing

Journal of computational biology : a journal of computational molecular cell biology

BEDTools: a flexible suite of utilities for comparing genomic features

fastp: an ultra-fast all-in-one FASTQ preprocessor

Minimap2: pairwise alignment for nucleotide sequences

Near-optimal probabilistic RNA-seq quantification

De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis

QUAST: quality assessment tool for genome assemblies

Twelve years of SAMtools and BCFtools

The Ensembl Variant Effect Predictor

MEGAHIT: An ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph


AIConfig is a config-based framework to build generative AI applications.

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

Self-Consistency Improves Chain of Thought Reasoning in Language Models

Automatic Chain of Thought Prompting in Large Language Models

Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models

Automatic Prompt Optimization with "Gradient Descent" and Beam Search

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

Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution

A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models

Chain-of-Verification Reduces Hallucination in Large Language Models


High-Performance Symbolic Regression in Python and Julia

Discovering Symbolic Models from Deep Learning with Inductive Biases

Rediscovering orbital mechanics with machine learning

Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization

Augmenting astrophysical scaling relations with machine learning: application to reducing the Sunyaev-Zeldovich flux-mass scatter

The SZ flux-mass (Y-M) relation at low halo masses: improvements with symbolic regression and strong constraints on baryonic feedback

Modeling assembly bias with machine learning and symbolic regression

Cosmic backreaction and the mean redshift drift from symbolic regression

Automated discovery of interpretable gravitational-wave population models

Symbolic Regression on FPGAs for Fast Machine Learning Inference


[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Segment Any Anomaly without Training via Hybrid Prompt Regularization

Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts

Multimodal Data Curation via Object Detection and Filter Ensembles

Towards Robust Multi-Modal Reasoning via Model Selection

DeiSAM: Segment Anything with Deictic Prompting


Ghidra is a software reverse engineering (SRE) framework

SoK: All You Ever Wanted to Know About x86/x64 Binary Disassembly But Were Afraid to Ask

Augmenting Decompiler Output with Learned Variable Names and Types

Inferring Input Grammars from Dynamic Control Flow

1-to-1 or 1-to-n? Investigating the Effect of Function Inlining on Binary Similarity Analysis

A Formal Semantics for P-Code

Verified Software: Theories, Tools, Experiments

Comparing One with Many -- Solving Binary2source Function Matching Under Function Inlining

Revisiting Deep Learning for Variable Type Recovery


This code can be used to generate simulated NIRCam, NIRISS, or FGS data

CEERS Key Paper. III. The Diversity of Galaxy Structure and Morphology at z = 3–9 with JWST

PDRs4All: A JWST Early Release Science Program on Radiative Feedback from Massive Stars

Publications of the Astronomical Society of the Pacific

Expectations of the Size Evolution of Massive Galaxies at 3 ≤ z ≤ 6 from the TNG50 Simulation: The CEERS/JWST View

Performance of near-infrared high-contrast imaging methods with JWST from commissioning


ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation

ICON: Implicit Clothed humans Obtained from Normals

Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research

NerfAcc: Efficient Sampling Accelerates NeRFs

Gaussian Opacity Fields: Efficient and Compact Surface Reconstruction in
  Unbounded Scenes

Zero-Shot 3D Shape Correspondence

CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation

PERGAMO: Personalized 3D Garments from Monocular Video

Language-guided Semantic Style Transfer of 3D Indoor Scenes

Surrogate Modeling of Car Drag Coefficient with Depth and Normal Renderings


The Esri Geometry API for Java enables developers to write custom applications for analysis of spatial data.  This API is used in the Esri GIS Tools for Hadoop and other 3rd-party data processing solutions.

Constructing gazetteers from volunteered Big Geo-Data based on Hadoop

A Survey on Spatio-temporal Data Analytics Systems

Geo-L: Topological Link Discovery for Geospatial Linked Data Made Easy

ISPRS International Journal of Geo-Information


NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone

YOLOX: Exceeding YOLO Series in 2021

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

Scaled-YOLOv4: Scaling Cross Stage Partial Network

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection

RTMDet: An Empirical Study of Designing Real-Time Object Detectors

RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose

Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch Attacks

A Comprehensive Study of Real-Time Object Detection Networks Across Multiple Domains: A Survey

A Lightweight Object Detector Based on Spatial-Coordinate Self-Attention for UAV Aerial Images

Forest Fire Detection via Feature Entropy Guided Neural Network


Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

Differentiable Causal Discovery from Interventional Data

Causal Discovery Toolbox: Uncover causal relationships in Python

DiBS: Differentiable Bayesian Structure Learning

Causal Discovery Toolbox: Uncovering causal relationships in Python

DAGs with No Curl: An Efficient DAG Structure Learning Approach

Interventions, Where and How? Experimental Design for Causal Models at Scale

Structural Intervention Distance (SID) for Evaluating Causal Graphs

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

Learning DAGs from Data with Few Root Causes

Causal Modeling with Stationary Diffusions


Algorithms for explaining machine learning models

Questioning the AI: Informing Design Practices for Explainable AI User Experiences

PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20)

Drug discovery with explainable artificial intelligence

Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

Interpretable Counterfactual Explanations Guided by Prototypes

Benchmarking and survey of explanation methods for black box models

Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications

A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts

On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning

Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End

National Conference on Artificial Intelligence


Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research.  https://intellabs.github.io/distiller

Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Model compression via distillation and quantization

Adaptive Neural Networks for Efficient Inference

Improving Neural Network Quantization without Retraining using Outlier Channel Splitting

Neural Network Distiller: A Python Package For DNN Compression Research

Automatic Sparse Connectivity Learning for Neural Networks

Fast Adjustable Threshold For Uniform Neural Network Quantization

Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum


High performance nearest neighbor data structures (KDTree and BallTree) and algorithms for Julia.

Nearest neighbour distributions: New statistical measures for cosmological clustering

Monthly Notices of the Royal Astronomical Society

Julia language in machine learning: Algorithms, applications, and open issues

Estimating Transfer Entropy in Continuous Time Between Neural Spike Trains or Other Event-Based Data

Cosmological cross-correlations and nearest neighbour distributions

Monthly notices of the Royal Astronomical Society

Predicting Spatio-temporal Time Series Using Dimension Reduced Local States

Fast and robust computation of coherent Lagrangian vortices on very large two-dimensional domains

The SMAI journal of computational mathematics


The RMLMapper executes RML rules to generate high quality Linked Data from multiple originally (semi-)structured data sources

SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs

International Conference on Information and Knowledge Management

The Semantic Asset Administration Shell

FunMap: Efficient Execution of Functional Mappings for Knowledge Graph Creation

Facade-X: an opinionated approach to SPARQL anything

Turning Transport Data to Comply with EU Standards While Enabling a Multimodal Transport Knowledge Graph

RocketRML - A NodeJS implementation of a use-case specific RML mapper

Enhancing virtual ontology based access over tabular data with Morph-CSV

MapSDI: A Scaled-up Semantic Data Integration Framework for Knowledge Graph Creation

Scaling Up Knowledge Graph Creation to Large and Heterogeneous Data Sources

RMLStreamer-SISO: An RDF Stream Generator from Streaming Heterogeneous Data


Fast and memory-efficient exact attention

FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Efficient Memory Management for Large Language Model Serving with PagedAttention

FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning


Image reduction pipeline for the DESI Legacy Imaging Surveys, using the Tractor framework

Overview of the DESI Legacy Imaging Surveys

The Seventeenth Data Release of the Sloan Digital Sky Surveys: Complete Release of MaNGA, MaStar, and APOGEE-2 Data

The DESI Bright Galaxy Survey: Final Target Selection, Design, and Validation

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: large-scale structure catalogues and measurement of the isotropic BAO between redshift 0.6 and 1.1 for the Emission Line Galaxy Sample

The Target-selection Pipeline for the Dark Energy Spectroscopic Instrument

Target Selection and Validation of DESI Emission Line Galaxies

Variations in the Width, Density, and Direction of the Palomar 5 Tidal Tails

Hidden depths in the local Universe: The Stellar Stream Legacy Survey

Improving galaxy clustering measurements with deep learning: analysis of the DECaLS DR7 data

Characterizing the target selection pipeline for the Dark Energy Spectroscopic Instrument Bright Galaxy Survey


Analysis framework and collection of process-oriented diagnostics for weather and climate simulations

Effects of the Horizontal Scales of the Cloud‐Resolving Model on Tropical Cyclones in the Superparameterized Community Atmosphere Model

Dataset for SPCAM TC paper

Zenodo (CERN European Organization for Nuclear Research)


Lightweight, modular, and extensible library for functional programming.

Simplicitly: foundations and applications of implicit function types

Symposium on Principles of Programming Languages

Functional probabilistic programming for scalable Bayesian modelling


Face detection and recognition framework

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

Microcontrollers on the Edge - Is ESP32 with Camera Ready for Machine Learning?

TinyML: Analysis of Xtensa LX6 microprocessor for Neural Network Applications by ESP32 SoC


Oxford Nanopore's Basecaller

Gapless assembly of complete human and plant chromosomes using only nanopore sequencing

bioRxiv : the preprint server for biology

Rockfish: A transformer-based model for accurate 5-methylcytosine prediction from nanopore sequencing

Estimated Nucleotide Reconstruction Quality Symbols of Basecalling Tools for Oxford Nanopore Sequencing

Characterization of telomere variant repeats using long reads enables allele-specific telomere length estimation

Using a mobile nanopore sequencing lab for end-to-end genomic surveillance of Plasmodium falciparum: A feasibility study

R2Dtool: Integration and visualization of isoform-resolved RNA features

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

Nanopore duplex sequencing as an alternative to Illumina MiSeq sequencing for eDNA-based biomonitoring of coastal aquaculture impacts

Generating high-quality plant and fish reference genomes from field-collected specimens by optimizing preservation

Unraveling the whole genome DNA methylation profile of zebrafish kidney marrow by Oxford Nanopore sequencing


A tool for extracting plain text from Wikipedia dumps

Cross-lingual Language Model Pretraining

ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic

FlauBERT: Unsupervised Language Model Pre-training for French

XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation

LinkBERT: Pretraining Language Models with Document Links

Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia

German's Next Language Model

Assessing Social and Intersectional Biases in Contextualized Word Representations

Brains and algorithms partially converge in natural language processing

CoLAKE: Contextualized Language and Knowledge Embedding


An educational resource to help anyone learn deep reinforcement learning.

Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments

Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning

International Conference on Robotics and Automation

rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch

Identifying optimal cycles in quantum thermal machines with reinforcement-learning

A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms

Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control

Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate

Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and Benchmarking

Learning Off-Policy with Online Planning

Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning


Fast and flexible AutoML with learning guarantees.

AutoML to Date and Beyond: Challenges and Opportunities

Gradient Boosting Neural Networks: GrowNet

Techniques for Automated Machine Learning

Sub-Architecture Ensemble Pruning in Neural Architecture Search

AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles

Improving Neural Architecture Search Image Classifiers via Ensemble Learning

The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry

Using Open-Source Software for Business, Urban, and Other Applications of Deep Neural Networks, Machine Learning, and Data Analytics Tools

International Journal of Artificial Intelligence and Machine Learning


netCDF Operators


Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

Zero-Shot Text-to-Image Generation

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

BEiT: BERT Pre-Training of Image Transformers

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

DiT: Self-supervised Pre-training for Document Image Transformer

Ten years of generative adversarial nets (GANs): a survey of the state-of-the-art

Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks

FairyTailor: A Multimodal Generative Framework for Storytelling

An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions

KPE: Keypoint Pose Encoding for Transformer-based Image Generation


Prevents you from committing secrets and credentials into git repositories

Do Not Give Away My Secrets: Uncovering the Privacy Issue of Neural Code Completion Tools

With Great Humor Comes Great Developer Engagement

Sniffing for Codebase Secret Leaks with Known Production Secrets in Industry

Open Source Solutions for Vulnerability Assessment: A Comparative Analysis

A Comparative Study of Software Secrets Reporting by Secret Detection Tools


HiCExplorer is a powerful and easy to use set of tools to process, normalize and visualize Hi-C data.

High-resolution TADs reveal DNA sequences underlying genome organization in flies

Cohesin residency determines chromatin loop patterns

Spatial organization of chromosomes leads to heterogeneous chromatin motion and drives the liquid- or gel-like dynamical behavior of chromatin

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

Revisiting the use of structural similarity index in Hi-C

Light control of three‐dimensional chromatin organization in soybean

Flowering genes identification, network analysis, and database construction for 837 plants


Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation.  This is part of the CASL project: http://casl-project.ai/

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation

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


A modular framework for neural networks with Euclidean symmetry

Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data

Recent advances and applications of deep learning methods in materials science

Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network

A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups

e3nn: Euclidean Neural Networks

Relevance of Rotationally Equivariant Convolutions for Predicting Molecular Properties

Direct Prediction of Phonon Density of States With Euclidean Neural Networks

Finding Symmetry Breaking Order Parameters with Euclidean Neural Networks

Rotation-Equivariant Deep Learning for Diffusion MRI


Remote protein homology detection suite.

Highly accurate protein structure prediction with AlphaFold

Highly accurate protein structure prediction for the human proteome

HH-suite3 for fast remote homology detection and deep protein annotation

Inferring interaction partners from protein sequences

Unraveling the functional dark matter through global metagenomics

Rotamer-free protein sequence design based on deep learning and self-consistency

ProSPr: Democratized Implementation of Alphafold Protein Distance Prediction Network

Improvement in Protein Domain Identification Is Reached by Breaking Consensus, with the Agreement of Many Profiles and Domain Co-occurrence

Complete atomic structure of a native archaeal cell surface

From interaction networks to interfaces, scanning intrinsically disordered regions using AlphaFold2


Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

pyAudioAnalysis: An Open-Source Python Library for Audio Signal Analysis

Emotion Based Hate Speech Detection using Multimodal Learning

Top-1 CORSMAL Challenge 2020 Submission: Filling Mass Estimation Using Multi-modal Observations of Human-robot Handovers

A multimodal adaptive dialogue manager for depressive and anxiety disorder screening

A novel multi-layer modular approach for real-time fuzzy-identification of gravitational-wave signals

Audio Acoustic Features Based Tagging and Comparative Analysis of its Classifications

International Conference on Contemporary Computing

Can Plants Sense Humans? Using Plants as Biosensors to Detect the Presence of Eurythmic Gestures

Automatic Speech Recognition of Low-Resource Languages Based on Chukchi

Seamless Multimodal Biometrics for Continuous Personalised Wellbeing Monitoring


An R package for stock-assessment simulation with Stock Synthesis


Official elastix repository

Accurate Localization of Linear Probe Electrode Arrays across Multiple Brains

Purkinje Cell Activity Determines the Timing of Sensory-Evoked Motor Initiation

M2aia—Interactive, fast, and memory-efficient analysis of 2D and 3D multi-modal mass spectrometry imaging data

larvalign: Aligning Gene Expression Patterns from the Larval Brain of Drosophila melanogaster

Axonal and Dendritic Morphology of Excitatory Neurons in Layer 2/3 Mouse Barrel Cortex Imaged Through Whole-Brain Two-Photon Tomography and Registered to a Digital Brain Atlas

Unbiased quantification of the spatial distribution of murine cells using point pattern analysis


PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

Non-local Neural Networks

SlowFast Networks for Video Recognition

Multiscale Vision Transformers

X3D: Expanding Architectures for Efficient Video Recognition

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

MViTv2: Improved Multiscale Vision Transformers for Classification and Detection

Masked Feature Prediction for Self-Supervised Visual Pre-Training

Masked Autoencoders As Spatiotemporal Learners

UniFormer: Unifying Convolution and Self-attention for Visual Recognition

A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning


Faster Whisper transcription with CTranslate2

Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation

Vript: A Video Is Worth Thousands of Words

PSLM: Parallel Generation of Text and Speech with LLMs for Low-Latency
  Spoken Dialogue Systems

Whispy: Adapting STT Whisper Models to Real-Time Environments

CrossVoice: Crosslingual Prosody Preserving Cascade-S2ST using Transfer Learning

Whisper in Medusa's Ear: Multi-head Efficient Decoding for
  Transformer-based ASR


ConvoKit is a toolkit for extracting conversational features and analyzing social phenomena in conversations. It includes several large conversational datasets along with scripts exemplifying the use of the toolkit on these datasets.

ConvoKit: A Toolkit for the Analysis of Conversations

Trouble on the Horizon: Forecasting the Derailment of Online Conversations as they Develop

Using Sentiment Information for Preemptive Detection of Toxic Comments in Online Conversations

Using Sentiment Information for Preemptive Detection of Harmful Comments in Online Conversations

Canadian Conference on Artificial Intelligence


Workbench for biodiversity informatics.

The Chalcidoidea bush of life – a massive radiation blurred by mutational saturation

TaxonWorks

Biodiversity Information Science and Standards

TaxonWorks as a Tool for Managing Large Biodiversity Projects


MTEB: Massive Text Embedding Benchmark

MTEB: Massive Text Embedding Benchmark

The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding

JaColBERTv2.5: Optimising Multi-Vector Retrievers to Create
  State-of-the-Art Japanese Retrievers with Constrained Resources

PL-MTEB: Polish Massive Text Embedding Benchmark

Making Text Embedders Few-Shot Learners


Python-based tools for document analysis and OCR

Fully Convolutional Neural Networks for Page Segmentation of Historical Document Images

International Workshop on Document Analysis Systems

Calamari - A High-Performance Tensorflow-based Deep Learning Package for Optical Character Recognition

OCR4all - An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings

OCR of historical printings with an application to building diachronic corpora: A case study using the RIDGES herbal corpus

Optical character recognition with neural networks and post-correction with finite state methods

International Journal on Document Analysis and Recognition (IJDAR)

Fooling OCR Systems with Adversarial Text Images

Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin

Benchmarking of Document Image Analysis Tasks for Palm Leaf Manuscripts from Southeast Asia

Improving OCR Accuracy on Early Printed Books by Utilizing Cross Fold Training and Voting

OCR and post-correction of historical Finnish texts

Nordic Conference of Computational Linguistics


General Multi-Precision arithmetic for Python 2.6+/3+ (GMP, MPIR, MPFR, MPC)

Secure Federated Matrix Factorization

BeeKeeper 2.0: Confidential Blockchain-Enabled IoT System with Fully Homomorphic Computation


Generalized Random Forests

Generalized Random Forests

Estimating Treatment Effects with Causal Forests: An Application

Conformal Inference of Counterfactuals and Individual Treatment Effects

Local Linear Forests

Estimating heterogeneous treatment effects with right-censored data via causal survival forests

A machine learning approach to the digitalization of bank customers: Evidence from random and causal forests

Learning Optimal Prescriptive Trees from Observational Data

Design and Evaluation of Personalized Free Trials

When do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception using Individual Treatment Effect Estimation

Using causal forests to assess heterogeneity in cost-effectiveness analysis


Python framework for short-term ensemble prediction systems.

Skillful Precipitation Nowcasting using Deep Generative Models of Radar

Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)

Skilful nowcasting of extreme precipitation with NowcastNet


(unofficial) Googletrans: Free and Unlimited Google translate API for Python. Translates totally free of charge.

Sexism Prediction in Spanish and English Tweets Using Monolingual and Multilingual BERT and Ensemble Models

Interactive Contrastive Learning for Self-supervised Entity Alignment

(Almost) Unsupervised Grammatical Error Correction using Synthetic Comparable Corpus

Workshop on Innovative Use of NLP for Building Educational Applications

Multimodal matching-aware co-attention networks with mutual knowledge distillation for fake news detection

Exploring Design Choices for Building Language-Specific LLMs

Towards Unsupervised Grammatical Error Correction using Statistical Machine Translation with Synthetic Comparable Corpus

NEUROSTRUCTURAL DECODING: Neural Text Generation with Structural Constraints

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

A Perspectival Mirror of the Elephant: Investigating Language Bias on Google, ChatGPT, Wikipedia, and YouTube

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

EURECOM at SemEval-2024 Task 4: Hierarchical Loss and Model Ensembling in Detecting Persuasion Techniques

International Workshop on Semantic Evaluation


Accelerating ggplot2

Mge-cluster: a reference-free approach for typing bacterial plasmids

Long-Term Maize-Legume Intercropping Shifts Structure and Composition of Soil Microbiome with Potential Impacts on Ecosystem Services and Food Safety

A Nanopore-based method for generating complete coding region sequences of dengue virus in resource-limited settings

Transcriptomics of ivermectin response in Caenorhabditis elegans: Integrating abamectin quantitative trait loci and comparison to the Ivermectin-exposed DA1316 strain

Comparison of Atmospheric and Lithospheric Culturable Bacterial Communities from Two Dissimilar Active Volcanic Sites, Surtsey Island and Fimmvörðuháls Mountain in Iceland


LLM based autonomous agent that conducts local and web research on any topic and generates a comprehensive report with citations.

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models

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

Assisting in Writing Wikipedia-like Articles From Scratch with Large
  Language Models


Super easy library for BERT based NLP models

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

RoBERTa: A Robustly Optimized BERT Pretraining Approach

XLNet: Generalized Autoregressive Pretraining for Language Understanding

Exploring Transformer Text Generation for Medical Dataset Augmentation

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

The Evolution of Language Models Applied to Emotion Analysis of Arabic Tweets

Exploring Automatic Short Answer Grading as a Tool to Assist in Human Rating

Legal Search in Case Law and Statute Law

Evolution of Composition, Readability, and Structure of Privacy Policies over Two Decades

Proceedings on Privacy Enhancing Technologies

Privacy Policies Across the Ages: Content and Readability of Privacy Policies 1996--2021

GiveMeLabeledIssues: An Open Source Issue Recommendation System


Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China

Effectiveness of isolation, testing, contact tracing, and physical distancing on reducing transmission of SARS-CoV-2 in different settings: a mathematical modelling study

Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment

IEEE access : practical innovations, open solutions

Epidemiological data from the COVID-19 outbreak, real-time case information

Deep-LSTM ensemble framework to forecast Covid-19: an insight to the global pandemic

International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management

Data Science and Machine Learning Integrated Implementation Patterns for Cavernous Knowledge Discovery from COVID-19 Data

IOP Conference Series: Materials Science and Engineering

Deep convolutional neural network–based image classification for COVID-19 diagnosis

Machine Learning Approaches to Identify Patient Comorbidities and Symptoms That Increased Risk of Mortality in COVID-19

Risk Factors Associated with Mortality Among Patients with Novel Coronavirus Disease (COVID-19) in Africa

Journal of racial and ethnic health disparities

CovidCounties is an interactive real time tracker of the COVID19 pandemic at the level of US counties

medRxiv : the preprint server for health sciences

Modeling the Coronavirus Disease 2019 Incubation Period: Impact on Quarantine Policy


End-to-end SFM framework based on GTSAM

SuperPoint: Self-Supervised Interest Point Detection and Description

SuperGlue: Learning Feature Matching with Graph Neural Networks

Shonan Rotation Averaging: Global Optimality by Surfing SO(p)^n

Distributed Global Structure-from-Motion with a Deep Front-End


python package for analyzing general circulation model output data


A version of RTKLIB optimized for low cost GNSS receivers, especially u-blox receivers.  It is based on RTKLIB 2.4.3 and is kept reasonably closely synced to that branch.  This software is provided “AS IS” without any warranties of any kind so please be careful, especially if using it in any kind of real-time application.

Optimizing the Use of RTKLIB for Smartphone-Based GNSS Measurements

Static Positioning under Tree Canopy Using Low-Cost GNSS Receivers and Adapted RTKLIB Software

POSTER: Testing network-based RTK for GNSS receiver security


A framework for rapid development of reliable asynchronous software.

Randomized testing of distributed systems with probabilistic guarantees

Proceedings of the ACM on Programming Languages

Reliable State Machines: A Framework for Programming Reliable Cloud Services

Building Reliable Cloud Services Using P# (Experience Report)

Data Flow Analysis of Asynchronous Systems using Infinite Abstract Domains


An API for easily incorporating the D-Wave system as a sampler, either directly or through Leap's cloud-based hybrid samplers

Open source software in quantum computing

Solving the Traveling Salesman Problem on the D-Wave Quantum Computer

Improving Quantum Annealing Performance on Embedded Problems

Supercomputing Frontiers and Innovations


Tools for keeping your cloud operating in top form. Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.

Localizing Faults in Cloud Systems

How bad can a bug get? an empirical analysis of software failures in the OpenStack cloud computing platform

Predicting Failures in Multi-Tier Distributed Systems

The Future of Software Quality Assurance

Enhancing Failure Propagation Analysis in Cloud Computing Systems

ThorFI: A Novel Approach for Network Fault Injection as a Service

Report from GI-Dagstuhl Seminar 16394: Software Performance Engineering in the DevOps World

Using Information Flow to estimate interference between developers same
  method contributions


ROOT I/O in pure Python and NumPy.

A FAIR and AI-ready Higgs boson decay dataset

MLaaS4HEP: Machine Learning as a Service for HEP

HL-LHC Computing Review: Common Tools and Community Software

ProIO: An event-based I/O stream format for protobuf messages

Fast Access to Columnar, Hierarchically Nested Data via Code Transformation

Machine Learning as a Service for HEP

Toward real-time data query systems in HEP

Analysis Cyberinfrastructure: Challenges and Opportunities

Gaining insight from large data volumes with ease

hepaccelerate: Fast Analysis of Columnar Collider Data


Web application fuzzer

EWVHunter: Grey-Box Fuzzing with Knowledge Guide on Embedded Web Front-Ends

ESRFuzzer: an enhanced fuzzing framework for physical SOHO router devices to discover multi-Type vulnerabilities

Fuzzing Technique in Web Applications and Beyond

Open Source Solutions for Vulnerability Assessment: A Comparative Analysis

Practical Security Testing Of Electronic Commerce Web Applications

International journal of advanced networking and applications

A Formal Approach to Exploiting Multi-Stage Attacks based on File-System Vulnerabilities of Web Applications (Extended Version)


A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Deep Reinforcement Learning

Learning Self-Game-Play Agents for Combinatorial Optimization Problems

Hyper-Parameter Sweep on AlphaZero General

Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play?

AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time


ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM

A Review of Visual-Inertial Simultaneous Localization and Mapping from Filtering-Based and Optimization-Based Perspectives

CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge

Visual-Inertial Odometry of Aerial Robots

An open‐source system for vision‐based micro‐aerial vehicle mapping, planning, and flight in cluttered environments

Experiments in Fast, Autonomous, GPS-Denied Quadrotor Flight

The ETH-MAV Team in the MBZ International Robotics Challenge

Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned

Visual-Inertial Indoor Navigation Systems and Algorithms for UAV Inspection Vehicles

Advanced Algorithms of Collision Free Navigation and Flocking for Autonomous UAVs


PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

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

IEEE Transactions on Intelligent Transportation Systems

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition

Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks

GMAN: A Graph Multi-Attention Network for Traffic Prediction

Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Structured Sequence Modeling with Graph Convolutional Recurrent Networks

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


A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

Kubric: A scalable dataset generator

Conditional Object-Centric Learning from Video

NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes

Differentiable Patch Selection for Image Recognition

Learning rigid dynamics with face interaction graph networks

Coarse-to-Fine Amodal Segmentation with Shape Prior

Neural Fourier Transform: A General Approach to Equivariant Representation Learning

Patch-based Object-centric Transformers for Efficient Video Generation

Grouped Discrete Representation Guides Object-Centric Learning

Learning rigid-body simulators over implicit shapes for large-scale scenes and vision


Therapeutics Commons (TDC-2): Multimodal Foundation for Therapeutic Science

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Efficient Evolutionary Search Over Chemical Space with Large Language
  Models

TDC-2: Multimodal Foundation for Therapeutic Science