Official public repository for the XCP Engine. This tool is deprecated in favor of XCP-D and ASLPrep.

Childhood trauma history is linked to abnormal brain connectivity in major depression

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

Functional Alignment with Anatomical Networks is Associated with Cognitive Flexibility

Associations between Neighborhood SES and Functional Brain Network Development

Daily Morning Blue Light Therapy for Post-mTBI Sleep Disruption: Effects on Brain Structure and Function

Exploration of the relationships between clinical traits and functional connectivity based on surface morphology abnormalities in bulimia nervosa


Convert a VCF into a MAF, where each variant is annotated to only one of all possible gene isoforms

Functional genomic landscape of acute myeloid leukaemia

Genome doubling shapes the evolution and prognosis of advanced cancers

3D clusters of somatic mutations in cancer reveal numerous rare mutations as functional targets

Histone H1 loss drives lymphoma by disrupting 3D chromatin architecture

Uniform genomic data analysis in the NCI Genomic Data Commons

Copy number signature analysis tool and its application in prostate cancer reveals distinct mutational processes and clinical outcomes

Aberrant splicing isoforms detected by full-length transcriptome sequencing as transcripts of potential neoantigens in non-small cell lung cancer

Genomic profile of advanced breast cancer in circulating tumour DNA

The mutational landscape of recurrent versus nonrecurrent human papillomavirus–related oropharyngeal cancer

Population-level distribution and putative immunogenicity of cancer neoepitopes


Fire Dynamics Simulator

Determining Firebrand Generation Rate Using Physics-Based Modelling from Experimental Studies through Inverse Analysis

Simulation of Fire with a Gas Kinetic Scheme on Distributed GPGPU Architectures

An appearance of asymmetrically spreading flames in narrow combustible channel

Defining parameters for numerical modelling of fires

Assessment of the Fire Dynamics Simulator Modeling for the Heating and Evaporation of a Single Water Droplet at Moderate and High Temperatures

Comparison of sprinkler activation times under flat and corrugated metal deck ceiling


An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

GPT-NeoX-20B: An Open-Source Autoregressive Language Model

A systematic evaluation of large language models of code

Proceedings of the 6th ACM SIGPLAN International Symposium on Machine Programming

Multimodal datasets: misogyny, pornography, and malignant stereotypes

Llemma: An Open Language Model For Mathematics

Can Machines Learn Morality? The Delphi Experiment

Emergent and Predictable Memorization in Large Language Models

Continual Pre-Training of Large Language Models: How to (re)warm your model?

On the Tool Manipulation Capability of Open-source Large Language Models

A Survey on Data Selection for Language Models


VHDL 2008/93/87 simulator

Open-Source Verification with Chisel and Scala

Compensation of phase drifts caused by ambient humidity, temperature and pressure changes for continuously operating interferometers

QHDL: a Low-Level Circuit Description Language for Quantum Computing

SME: A High Productivity FPGA Tool for Software Programmers

A Novel ML-driven Test Case Selection Approach for Enhancing the Performance of Grammatical Evolution


Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.

Simulation to Scaled City: Zero-Shot Policy Transfer for Traffic Control via Autonomous Vehicles

Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards

Zero-Shot Autonomous Vehicle Policy Transfer: From Simulation to Real-World via Adversarial Learning

International Conference on Control and Automation

Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning

Distributed traffic light control at uncoupled intersections with real-world topology by deep reinforcement learning

QarSUMO: A Parallel, Congestion-optimized Traffic Simulator

Advances in Geographic Information Systems

An Overview of the Drone Open-Source Ecosystem

Hybrid On/Off Blockchain Approach for Vehicle Data Management, Processing and Visualization Exemplified by the ADAPT Platform

A Multiclass Simulation-Based Dynamic Traffic Assignment Model for Mixed Traffic Flow of Connected and Autonomous Vehicles and Human-Driven Vehicles

Solvability of the power flow problem in DC overhead wire circuit modeling


Estimating tumor fraction in cell-free DNA from ultra-low-pass whole genome sequencing.

Tumor fraction in cell-free DNA as a biomarker in prostate cancer

Comprehensive characterization of cell-free tumor DNA in plasma and urine of patients with renal tumors

Establishing the Clinical Utility of ctDNA Analysis for Diagnosis, Prognosis, and Treatment Monitoring of Retinoblastoma: The Aqueous Humor Liquid Biopsy

CD74 and CD44 Expression on CTCs in Cancer Patients with Brain Metastasis

International journal of molecular sciences

Cell-Free DNA Tumor Fraction in the Aqueous Humor Is Associated With Therapeutic Response in Retinoblastoma Patients

Translational vision science & technology

On-treatment measurements of circulating tumor DNA during FOLFOX therapy in patients with colorectal cancer

Cell-free tumour DNA analysis detects copy number alterations in gastro-oesophageal cancer patients

An Omic and Multidimensional Spatial Atlas from Serial Biopsies of an Evolving Metastatic Breast Cancer

Cell type signatures in cell-free DNA fragmentation profiles reveal disease biology

Quantified CIN Score From Cell-free DNA as a Novel Noninvasive Predictor of Survival in Patients With Spinal Metastasis

Frontiers in cell and developmental biology


ncnn is a high-performance neural network inference framework optimized for the mobile platform

Deep Learning in Mobile and Wireless Networking: A Survey

Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

IEEE Communications Surveys and Tutorials

Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment

Pruning and Quantization for Deep Neural Network Acceleration: A Survey

Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things

Forward and Backward Information Retention for Accurate Binary Neural Networks

Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools

A First Look at Deep Learning Apps on Smartphones

On-Device Training Under 256KB Memory

High-Throughput CNN Inference on Embedded ARM Big.LITTLE Multicore Processors

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems


An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io/vallex/

Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

AudioLM: a Language Modeling Approach to Audio Generation

Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modeling

Amphion: An Open-Source Audio, Music and Speech Generation Toolkit

ZMM-TTS: Zero-shot Multilingual and Multispeaker Speech Synthesis Conditioned on Self-supervised Discrete Speech Representations

SimpleSpeech: Towards Simple and Efficient Text-to-Speech with Scalar
  Latent Transformer Diffusion Models

Improving Robustness of LLM-based Speech Synthesis by Learning Monotonic Alignment

SimpleSpeech 2: Towards Simple and Efficient Text-to-Speech with
  Flow-based Scalar Latent Transformer Diffusion Models

High Fidelity Text-to-Speech Via Discrete Tokens Using Token Transducer and Group Masked Language Model


library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization

A parallel global multiobjective framework for optimization: pagmo

DexPilot: Vision-Based Teleoperation of Dexterous Robotic Hand-Arm System

Profiling the genome-wide landscape of tandem repeat expansions

Strategies for solving the Fermi-Hubbard model on near-term quantum computers

2SXPS: An Improved and Expanded Swift X-Ray Telescope Point-source Catalog

The Astrophysical Journal Supplement Series

MADER: Trajectory Planner in Multiagent and Dynamic Environments

XACC: A System-Level Software Infrastructure for Heterogeneous Quantum-Classical Computing

pyOptSparse: A Python framework for large-scale constrained nonlinear optimization of sparse systems

Multistart Methods for Quantum Approximate Optimization

IEEE High Performance Extreme Computing Conference

Autonomous UAV Exploration of Dynamic Environments Via Incremental Sampling and Probabilistic Roadmap

International Conference on Robotics and Automation


- a deep learning toolkit for Text-to-Speech, battle-tested in research and production

Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions

Tacotron: Towards End-to-End Speech Synthesis

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

Generalized End-to-End Loss for Speaker Verification

MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

Efficient Neural Audio Synthesis

Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram

FastSpeech: Fast, Robust and Controllable Text to Speech

WaveGrad: Estimating Gradients for Waveform Generation

Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search


Climate Machine: an Earth System Model that automatically learns from data

Coupled online learning as a way to tackle instabilities and biases in neural network parameterizations: general algorithms and Lorenz 96 case study (v1.0)

Learned discretizations for passive scalar advection in a two-dimensional turbulent flow

Domain-Specific Multi-Level IR Rewriting for GPU

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

Applications of large deviation theory in geophysical fluid dynamics and climate science

Large-eddy simulations with ClimateMachine v0.2.0: a new open-source code for atmospheric simulations on GPUs and CPUs


This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"

Deep learning for table detection and structure recognition: A survey

A Study on Reproducibility and Replicability of Table Structure Recognition Methods


Convolutional Neural Network for 3D meshes in PyTorch

MeshCNN: A Network with an Edge

BRepNet: A topological message passing system for solid models

UV-Net: Learning from Boundary Representations

Rigid Motion Invariant Statistical Shape Modeling based on Discrete Fundamental Forms

Geometric Deep Learning for Post-Menstrual Age Prediction based on the Neonatal White Matter Cortical Surface

UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps


MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.

HydroLang: An open-source web-based programming framework for hydrological sciences

An Idealized Physical Model for the Severe Convective Storm Environmental Sounding

Remote-sensing and radiosonde datasets collected in the San Luis Valley during the LAPSE-RATE campaign

Examining Conditions Supporting the Development of Anomalous Charge Structures in Supercell Thunderstorms in the Southeastern United States

Journal of Geophysical Research: Atmospheres

Pyroconvection Classification Based on Atmospheric Vertical Profiling Correlation With Extreme Fire Spread Observations

Zenodo (CERN European Organization for Nuclear Research)

The Relation of Environmental Conditions With Charge Structure in Central Argentina Thunderstorms

MADIA - Meteorological variables for agriculture: A dataset for the Italian area

A vital option for food security and greenhouse gases mitigation: planting elite super rice in double- to single-rice cropping fields in China

Climatology of Lake-Effect Snow Days Along the Southern Shore of Lake Michigan: What Is the Sensitivity to Environmental Factors and Snowband Morphology?


structural variant calling and genotyping with existing tools, but, smoothly.

Drivers and dynamics of a massive adaptive radiation in cichlid fishes

Samplot: a platform for structural variant visual validation and automated filtering

Phenotypic and molecular evolution across 10,000 generations in laboratory budding yeast populations

Genomic analyses provide insights into spinach domestication and the genetic basis of agronomic traits

Loss of function mutations in essential genes cause embryonic lethality in pigs

A 12 kb multi-allelic copy number variation encompassing a GC gene enhancer is associated with mastitis resistance in dairy cattle

The LDLR, APOB, and PCSK9 Variants of Index Patients with Familial Hypercholesterolemia in Russia

Chromosome-level genome assemblies of five Prunus species and genome-wide association studies for key agronomic traits in peach

Parallel Genetic Origin of Foot Feathering in Birds

Genomic consequences of domestication of the Siamese fighting fish


A Python interface to map GRIB files to the NetCDF Common Data Model following the CF Convention using ecCodes

OpenForecast v2: Development and Benchmarking of the First National-Scale Operational Runoff Forecasting System in Russia


Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

Inferring Networks of Substitutable and Complementary Products

Inductive Representation Learning on Temporal Graphs

Overlapping Community Detection with Graph Neural Networks

Billion-scale Network Embedding with Iterative Random Projection

CIMTDetect: A Community Infused Matrix-Tensor Coupled Factorization Based Method for Fake News Detection

PecanPy: a fast, efficient and parallelized Python implementation of node2vec

Graph Classification with 2D Convolutional Neural Networks

An End-to-End Framework for Cold Question Routing in Community Question Answering Services

InGram: Inductive Knowledge Graph Embedding via Relation Graphs

Classifying Graphs as Images with Convolutional Neural Networks.


Java Library for LWM2M

Industrial IoT Monitoring: Technologies and Architecture Proposal

On Company Contributions to Community Open Source Software Projects

IEEE Transactions on Software Engineering

Virtualizing AI at the Distributed Edge towards Intelligent IoT Applications

An End-To-End LwM2M-Based Communication Architecture for Multimodal NB-IoT/BLE Devices

Mass Configuration of Heterogeneous IIoT Nodes: A Proposal and Experimental Evaluation

International Conference on Computing, Networking and Communications


The official GitHub mirror of the Chromium source

Data Quality for Software Vulnerability Datasets

Explainable Software Bot Contributions: Case Study of Automated Bug Fixes

International Workshop on Bots in Software Engineering

TissUUmaps 3: Improvements in interactive visualization, exploration, and quality assessment of large-scale spatial omics data

State machine inference of QUIC

WeakSATD: Detecting Weak Self-admitted Technical Debt

Proceedings of the 19th International Conference on Mining Software Repositories

Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study

The Importance of Discerning Flaky from Fault-triggering Test Failures: A Case Study on the Chromium CI

Eradicating Attacks on the Internal Network with Internal Network Policy

FP-Fed: Privacy-Preserving Federated Detection of Browser Fingerprinting

Beyond the Request: Harnessing HTTP Response Headers for Cross-Browser
  Web Tracker Classification in an Imbalanced Setting


In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more

Good Enough Practices in Scientific Computing

The khmer software package: enabling efficient nucleotide sequence analysis

A Reference-Free Algorithm for Computational Normalization of Shotgun Sequencing Data

Scaling metagenome sequence assembly with probabilistic de Bruijn graphs

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

These Are Not the K-mers You Are Looking For: Efficient Online K-mer Counting Using a Probabilistic Data Structure

A simple guide to de novo transcriptome assembly and annotation

Transcriptome assembly, profiling and differential gene expression analysis of the halophyte Suaeda fruticosa provides insights into salt tolerance

A quantitative reference transcriptome for Nematostella vectensis early embryonic development: a pipeline for de novo assembly in emerging model systems

Genes of the Pig, Sus scrofa, reconstructed with EvidentialGene

The khmer software package: enabling efficient sequence analysis


OpenROAD's unified application implementing an RTL-to-GDS Flow. Documentation at https://openroad.readthedocs.io/en/latest/

A New, Computationally Efficient "Blech Criterion" for Immortality in General Interconnects

Hier-RTLMP: A Hierarchical Automatic Macro Placer for Large-scale Complex IP Blocks

A Machine Learning Approach to Improving Timing Consistency between Global Route and Detailed Route

Bayesian Optimization for Macro Placement

Encoder-Decoder Networks for Analyzing Thermal and Power Delivery Networks

IR-Aware ECO Timing Optimization Using Reinforcement Learning

EDA Corpus: A Large Language Model Dataset for Enhanced Interaction with OpenROAD


A toolbox for zkSNARKs on Ethereum

Blockchain-based Firmware Update Scheme Tailored for Autonomous Vehicles

Non-Interactive Zero-Knowledge for Blockchain: A Survey

Advancing Blockchain-based Federated Learning through Verifiable Off-chain Computations

ElectAnon: A Blockchain-Based, Anonymous, Robust and Scalable Ranked-Choice Voting Protocol

Non-Disclosing Credential On-chaining for Blockchain-based Decentralized Applications

Trustworthy Pre-processing of Sensor Data in Data On-Chaining Workflows for Blockchain-Based IoT Applications

zkay v0.2: Practical Data Privacy for Smart Contracts

Short Paper: Design and Evaluation of Privacy-preserved Supply Chain System based on Public Blockchain

Technology Review of Blockchain Data Privacy Solutions

Verifiable Carbon Accounting in Supply Chains


An experimental library for Cubical Agda

Cubical Agda: A dependently typed programming language with univalence and higher inductive types

Proceedings of the ACM on Programming Languages

Internalizing Representation Independence with Univalence

Symmetries in reversible programming: from symmetric rig groupoids to reversible programming languages

Path Spaces of Higher Inductive Types in Homotopy Type Theory

Three Equivalent Ordinal Notation Systems in Cubical Agda

Set-Theoretic and Type-Theoretic Ordinals Coincide

Formalizing π4(S3) ≅Z/2Z and Computing a Brunerie Number in Cubical Agda

Free Commutative Monoids in Homotopy Type Theory

Naive cubical type theory

Computing Cohomology Rings in Cubical Agda

Proceedings of the 12th ACM SIGPLAN International Conference on Certified Programs and Proofs


Bacterial Isolate Genome Sequence Database (BIGSdb): A platform for gene-by-gene bacterial population annotation and analysis.

Open-access bacterial population genomics: BIGSdb software, the PubMLST.org website and their applications

A RESTful application programming interface for the PubMLST molecular typing and genome databases

Database : the journal of biological databases and curation

The Distribution of Campylobacter jejuni Virulence Genes in Genomes Worldwide Derived from the NCBI Pathogen Detection Database

A global Corynebacterium diphtheriae genomic framework sheds light on current diphtheria reemergence


Home of StarCoder: fine-tuning & inference!

Finetuned Language Models Are Zero-Shot Learners

StarCoder: may the source be with you!

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation

SantaCoder: don't reach for the stars!

Data Quality in Imitation Learning

A Survey on Large Language Models for Software Engineering

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

A Survey of Source Code Search: A 3-Dimensional Perspective


High-speed Large Language Model Serving on PCs with Consumer-grade GPUs

PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU

ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models

PowerInfer-2: Fast Large Language Model Inference on a Smartphone

Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward

Turbo Sparse: Achieving LLM SOTA Performance with Minimal Activated Parameters


基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

Spot evasion attacks: Adversarial examples for license plate recognition systems with convolutional neural networks

Adversarial Attacks on License Plate Recognition Systems

Computers, materials & continua/Computers, materials & continua (Print)


Semantic Image Synthesis with SPADE

Semantic Image Synthesis with Spatially-Adaptive Normalization

Taming Transformers for High-Resolution Image Synthesis

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

You Only Need Adversarial Supervision for Semantic Image Synthesis

Skilful nowcasting of extreme precipitation with NowcastNet

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Clinical and translational values of spatial transcriptomics

Signal transduction and targeted therapy

OASIS: Only Adversarial Supervision for Semantic Image Synthesis

International Journal of Computer Vision

Omni-GAN: On the Secrets of cGANs and Beyond

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


Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

Denoising Diffusion Probabilistic Models

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

U2-Net: Going deeper with nested U-structure for salient object detection

Elucidating the Design Space of Diffusion-Based Generative Models

UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer

MaxViT: Multi-Axis Vision Transformer

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

Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Perception Prioritized Training of Diffusion Models

SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction


Source code for the TKET quantum compiler, Python bindings and utilities

Quantum computing with Qiskit

Bugs in Quantum Computing Platforms: An Empirical Study

Optimized Noise Suppression for Quantum Circuits

Teaching Qubits to Sing: Mission Impossible?

ISAAQ: Ising Machine Assisted Quantum Compiler


A "device memory" enabling project encompassing tools and libraries for CXL, NVDIMMs, DAX, memory tiering and other platform memory device topics.

Persistent Memory I/O Primitives

Building blocks for persistent memory

I/O Transit Caching for PMem-based Block Device


Machine learning algorithms for many-body quantum systems

NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems

Matrix product states with backflow correlations

Empirical Sample Complexity of Neural Network Mixed State Reconstruction


PyPSA: Python for Power System Analysis

PyPSA: Python for Power System Analysis

Regional impacts of electricity system transition in Central Europe until 2035

Evaluation of Temporal Complexity Reduction Techniques Applied to Storage Expansion Planning in Power System Models

Agent-based Model for Spot and Balancing Electricity Markets

Transmission Expansion Planning Using Cycle Flows

International Conference on Future Energy Systems


A benchmark framework for Tensorflow

Natural Compression for Distributed Deep Learning

MG-WFBP: Efficient Data Communication for Distributed Synchronous SGD Algorithms

A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning

CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers

Scalable Distributed DNN Training using TensorFlow and CUDA-Aware MPI: Characterization, Designs, and Performance Evaluation

IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing

MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning

Hoard: A Distributed Data Caching System to Accelerate Deep Learning Training on the Cloud

NetReduce: RDMA-Compatible In-Network Reduction for Distributed DNN Training Acceleration

Towards Energy Consumption and Carbon Footprint Testing for AI-driven IoT Services

2022 IEEE International Conference on Cloud Engineering (IC2E)

A GPU Scheduling Framework to Accelerate Hyper-Parameter Optimization in Deep Learning Clusters


Laboratory automation for the behavioral and social sciences; human culture on a chip.

Gibbs Sampling with People

Exploring emotional prototypes in a high dimensional TTS latent space

Predicting Human Similarity Judgments Using Large Language Models

Timbral effects on consonance disentangle psychoacoustic mechanisms and suggest perceptual origins for musical scales

Putting the Con in Context: Identifying Deceptive Actors in the Game of Mafia

VoiceMe: Personalized voice generation in TTS

Fair group decisions via non-deterministic proportional consensus


The library for web and native user interfaces.

Identifying Experts in Software Libraries and Frameworks among GitHub Users

COMPARISON OF FRONT-END FRAMEWORKS FOR WEB APPLICATIONS DEVELOPMENT

Extending the Nested Model for User-Centric XAI: A Design Study on GNN-based Drug Repurposing

IEEE transactions on visualization and computer graphics

Don't Disturb Me: Challenges of Interacting with SoftwareBots on Open Source Software Projects

Automatic whole cell organelle segmentation in volumetric electron microscopy

Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases

Beyond Textual Issues: Understanding the Usage and Impact of GitHub Reactions

From one to hundreds: multi-licensing in the JavaScript ecosystem

Interactive Visual Pattern Search on Graph Data via Graph Representation Learning

Reinforcement Learning Tutor Better Supported Lower Performers in a Math Task


Official code for BEVDepth.

BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

BEVStereo: Enhancing Depth Estimation in Multi-view 3D Object Detection with Dynamic Temporal Stereo

CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception

MatrixVT: Efficient Multi-Camera to BEV Transformation for 3D Perception

aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception


This is the implementation of Sparse Projection Oblique Randomer Forest

Sparse Projection Oblique Randomer Forests

Forest Packing: Fast, Parallel Decision Forests


MiXCR is an ultimate software platform for analysis of Next-Generation Sequencing (NGS) data for immune profiling.

High-throughput sequencing of the T-cell receptor repertoire: pitfalls and opportunities

Localization of T cell clonotypes using the Visium spatial transcriptomics platform

Use of machine learning to identify a T cell response to SARS-CoV-2

Rapid expansion of Treg cells protects from collateral colitis following a viral trigger

Tumor-induced double positive T cells display distinct lineage commitment mechanisms and functions

Tumor immune microenvironment and mutational analysis of tracheal adenoid cystic carcinoma

Time-spatial analysis of T cell receptor repertoire in esophageal squamous cell carcinoma patients treated with combined radiotherapy and PD-1 blockade

RNA-Seq-Based TCR Profiling Reveals Persistently Increased Intratumoral Clonality in Responders to Anti-PD-1 Therapy

The use of non-functional clonotypes as a natural calibrator for quantitative bias correction in adaptive immune receptor repertoire profiling

Clonal origin of KMT2A wild-type lineage-switch leukemia following CAR-T cell and blinatumomab therapy


Convert HTML to Markdown-formatted text.

Trafilatura: A Web Scraping Library and Command-Line Tool for Text Discovery and Extraction

Meeting of the Association for Computational Linguistics

Complex Claim Verification with Evidence Retrieved in the Wild

OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text

Understanding Retrieval Augmentation for Long-Form Question Answering

Introducing UberText 2.0: A Corpus of Modern Ukrainian at Scale

Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)

Demystifying Privacy Policy of Third-Party Libraries in Mobile Apps

Out-of-the-Box and into the Ditch? Multilingual Evaluation of Generic Text Extraction Tools

Monitoring Technoscientific Issues in the News

Inspo: Writing with Crowds Alongside AI

General resource for ionospheric transient investigations (GRITI): An open-source code developed in support of the Dinsmore et al. (2021) results


Optimization functions for Julia

Variational quantum circuits for quantum state tomography

Variational formulation for Wannier functions with entangled band structure

DRSOM: A Dimension Reduced Second-Order Method

ITSO: A novel Inverse Transform Sampling-based Optimization algorithm for stochastic search

Parametric and Non-parametric Gradient Matching for Network Inference

Robust and stochastic compliance-based topology optimization with finitely many loading scenarios

A consistently adaptive trust-region method

Alternating cyclic extrapolation methods for optimization algorithms

Approximation schemes for stochastic compliance-based topology optimization with many loading scenarios


Cogent Project

Cogent: uniqueness types and certifying compilation

Dargent: A Silver Bullet for Verified Data Layout Refinement

Proceedings of the ACM on programming languages

Overcoming Restraint: Composing Verification of Foreign Functions with Cogent


Specification of the Cypher property graph query language

G-CORE: A Core for Future Graph Query Languages

Graph Pattern Matching in GQL and SQL/PGQ

GPC: A Pattern Calculus for Property Graphs

Semantic Foundations of Seraph Continuous Graph Query Language


Free Weather Forecast API for non-commercial use


A Monte Carlo simulation package for radio neutrino detectors

NuRadioMC: simulating the radio emission of neutrinos from interaction to detector

Tau neutrinos in the next decade: from GeV to EeV

The Next-Generation Radio Neutrino Observatory -- Multi-Messenger Neutrino Astrophysics at Extreme Energies

ARIANNA: Current developments and understanding the ice for neutrino detection


Creative Commons Attribution 4.0 International

List of Dirty, Naughty, Obscene, and Otherwise Bad Words

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

PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

StarCoder: may the source be with you!

Characterizing and Detecting Hateful Users on Twitter

Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack

RedCaps: web-curated image-text data created by the people, for the people

Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text

Scalable 3D Captioning with Pretrained Models

BEEP! Korean Corpus of Online News Comments for Toxic Speech Detection

A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity


PyTorch extensions for high performance and large scale training.

On the Opportunities and Risks of Foundation Models

Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Beyond English-Centric Multilingual Machine Translation

ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

InCoder: A Generative Model for Code Infilling and Synthesis

Efficient Large Scale Language Modeling with Mixtures of Experts

ZeRO-Offload: Democratizing Billion-Scale Model Training

A Cookbook of Self-Supervised Learning


Convolutional recurrent network in pytorch

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

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

Text Recognition in the Wild: A Survey

Scene Text Image Super-Resolution in the Wild

Text Prior Guided Scene Text Image Super-Resolution

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

Text detection and recognition based on a lensless imaging system


Bringing Old Photo Back to Life (CVPR 2020 oral)

Bringing Old Photos Back to Life

Old Photo Restoration via Deep Latent Space Translation

GitAgent: Facilitating Autonomous Agent with GitHub by Tool Extension

Restoration and Enhancement of Historical Stereo Photos


LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

Feature Refinement to Improve High Resolution Image Inpainting

AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Gradpaint: Gradient-Guided Inpainting with Diffusion Models

Perceptual Artifacts Localization for Image Synthesis Tasks


Galaxy Tool Shed repositories maintained and developed by the GalaxyP community

Discovery of coding regions in the human genome by integrated proteogenomics analysis workflow

Accessible and reproducible mass spectrometry imaging data analysis in Galaxy

Multi-omics Visualization Platform: An extensible Galaxy plug-in for multi-omics data visualization and exploration

Democratizing data-independent acquisition proteomics analysis on public cloud infrastructures via the Galaxy framework

MaxQuant and MSstats in Galaxy enable reproducible cloud-based analysis of quantitative proteomics experiments for everyone

Quantitative Proteogenomic Characterization of Inflamed Murine Colon Tissue Using an Integrated Discovery, Verification, and Validation Proteogenomic Workflow


Official PyTorch implementation of SegFormer

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

Rethinking Range View Representation for LiDAR Segmentation

Controlling Text-to-Image Diffusion by Orthogonal Finetuning

Dynamically pruning segformer for efficient semantic segmentation

SAPA: Similarity-Aware Point Affiliation for Feature Upsampling

VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions

Single-View Measurement Method for Egg Size Based on Small-Batch Images


Python tools for querying and manipulating BIDS datasets.

BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods

MEG-BIDS, the brain imaging data structure extended to magnetoencephalography

Open and reproducible neuroimaging: From study inception to publication

PyBIDS: Python tools for BIDS datasets

PET-BIDS, an extension to the brain imaging data structure for positron emission tomography

Good scientific practice in EEG and MEG research: Progress and perspectives

Neuroscout, a unified platform for generalizable and reproducible fMRI research

MEG-BIDS: an extension to the Brain Imaging Data Structure for magnetoencephalography

The BIDS Toolbox: A web service to manage brain imaging datasets


Eclipse Jetty® - Web Container & Clients - supports HTTP/2, HTTP/1.1, HTTP/1.0, websocket, servlets, and more

A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software

Quantitative Mitigation of Timing Side Channels

Data-Driven Debugging for Functional Side Channels

QFuzz: Quantitative Fuzzing for Side Channels

International Symposium on Software Testing and Analysis

Cherry-Picking of Code Commits in Long-Running, Multi-release Software

Automated Identification of Performance Changes at Code Level

International Conference on Software Quality, Reliability and Security


Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

Video-to-Video Synthesis

What makes a popular academic AI repository?

Zenodo (CERN European Organization for Nuclear Research)

Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis

ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code

Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis


This is the community-maintained issue tracker for uBlock Origin

The CNAME of the Game: Large-scale Analysis of DNS-based Tracking Evasion

SOK: On the Analysis of Web Browser Security

PURL: Safe and Effective Sanitization of Link Decoration


Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

RTAB‐Map as an open‐source lidar and visual simultaneous localization and mapping library for large‐scale and long‐term online operation

Self-supervised Learning of LiDAR Odometry for Robotic Applications

Large-Scale LiDAR SLAM with Factor Graph Optimization on High-Level Geometric Features

Point wise or Feature wise? Benchmark Comparison of Public Available LiDAR Odometry Algorithms in Urban Canyons

Study of the Effect of Exploiting 3D Semantic Segmentation in LiDAR Odometry

Mapping of Sparse 3D Data using Alternating Projection

Can generalised relative pose estimation solve sparse 3D registration?

Advanced Algorithms of Collision Free Navigation and Flocking for Autonomous UAVs

SEGMENT-BASED LIDAR ODOMETRY FOR LESS STRUCTURED OUTDOOR SCENE

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


brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

Advanced Bayesian Multilevel Modeling with the R Package brms

Bayesian Item Response Modeling in R with brms and Stan

Simple Acoustic Features Can Explain Phoneme-Based Predictions of Cortical Responses to Speech

The Positions Mainstream Left Parties Adopt on Immigration

Efficient leave-one-out cross-validation for Bayesian non-factorized normal and Student-t models

Creating effective visuals for destination marketing videos: Scenery vs people

Egocentric network characteristics of persons with Type 1 diabetes and their relationships to perceived social support and well-being

Health psychology and behavioral medicine

A multi-organ map of the human immune system across age, sex and ethnicity


ROS Wrapper for Intel(R) RealSense(TM) Cameras

Object Detection Using Sim2Real Domain Randomization for Robotic Applications

Enabling Flexibility in Manufacturing by Integrating Shopfloor and Process Perception for Mobile Robot Workers

A Universal Semantic-Geometric Representation for Robotic Manipulation

Quadrotor Autonomous Landing on Moving Platform

Bipedal Walking on Constrained Footholds with MPC Footstep Control

Filling the Gap between Research and Market: Portable Architecture for an Intelligent Autonomous Wheelchair

International journal of environmental research and public health

Dense 3D Reconstruction Through Lidar: A Comparative Study on Ex-vivo Porcine Tissue

MIR-Vehicle: Cost-Effective Research Platform for Autonomous Vehicle Applications

Experiments in Autonomous Driving Through Imitation Learning

Leveraging Locality to Boost Sample Efficiency in Robotic Manipulation


Forum for discussing Internet censorship circumvention

Measuring and Evading Turkmenistan’s Internet Censorship

Discovering and Measuring CDNs Prone to Domain Fronting


RandomX, KawPow, CryptoNight and GhostRider unified CPU/GPU miner and RandomX benchmark

A First Look at the Crypto-Mining Malware Ecosystem: A Decade of Unrestricted Wealth

SoK: Cryptojacking Malware

Dissecting Android Cryptocurrency Miners

PROCEEDINGS OF THE TENTH ACM CONFERENCE ON DATA AND APPLICATION SECURITY AND PRIVACY, CODASPY 2020

WebAssembly Diversification for Malware Evasion

Mining CryptoNight-Haven on the Varium C1100 Blockchain Accelerator Card


CockroachDB — the cloud native, distributed SQL database designed for high availability, effortless scale, and control over data placement.

Blockchains vs. Distributed Databases: Dichotomy and Fusion

Constructing and analyzing the LSM compaction design space

On the Complexity of Checking Transactional Consistency

ezBFT: Decentralizing Byzantine Fault-Tolerant State Machine Replication

Testing Database Engines via Query Plan Guidance

CFS: A Distributed File System for Large Scale Container Platforms

Automated system performance testing at MongoDB

Proceedings of the workshop on Testing Database Systems

Blockchains and Distributed Databases: a Twin Study.

Scalable Querying of Nested Data

Breaking Type Safety in Go: An Empirical Study on the Usage of the unsafe Package

IEEE Transactions on Software Engineering


Chinese-LLaMA 1&2、Chinese-Falcon 基础模型；ChatFlow中文对话模型；中文OpenLLaMA模型；NLP预训练/指令微调数据集

Chinese Open Instruction Generalist: A Preliminary Release

Evaluating Large Language Models for Radiology Natural Language Processing

TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities

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

MindLLM: Pre-training Lightweight Large Language Model from Scratch, Evaluations and Domain Applications

Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models


WhiteRabbit is a small application that can be used to analyse the structure and contents of a database as preparation for designing an ETL. It comes with RabbitInAHat, an application for interactive design of an ETL to the OMOP Common Data Model with the help of the the scan report generated by White Rabbit.

Feasibility and utility of applications of the common data model to multiple, disparate observational health databases

Journal of the American Medical Informatics Association : JAMIA

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

Using the Data Quality Dashboard to Improve the EHDEN Network

German Claims Data for Real-World Research: Content Coverage Evaluation in OMOP CDM

Studies in health technology and informatics


♂ ImageMagick 7

Smart Greybox Fuzzing

Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers

Visualization of dental plaque with a 3D-intraoral-scanner—A tool for whole mouth planimetry

Tify: A quality-based frame selection tool for improving the output of unstable biomedical imaging

PatchFinder: A Two-Phase Approach to Security Patch Tracing for Disclosed Vulnerabilities in Open-Source Software


Shared repository for open-sourced projects from the Google AI Language team.

Natural Questions: A Benchmark for Question Answering Research

Transactions of the Association for Computational Linguistics

REALM: Retrieval-Augmented Language Model Pre-Training

What Makes Good In-Context Examples for GPT-3?

Latent Retrieval for Weakly Supervised Open Domain Question Answering

Sparse, Dense, and Attentional Representations for Text Retrieval

Time-Aware Language Models as Temporal Knowledge Bases

Fusion of Detected Objects in Text for Visual Question Answering

CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language Representation

Thieves on Sesame Street! Model Extraction of BERT-based APIs

Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both?


MCP-Reborn is an MCP (Mod Coder Pack) for Minecraft for making modded clients and researching its code. (1.13-1.20.1)

Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos

JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models

GROOT: Learning to Follow Instructions by Watching Gameplay Videos


A toolkit for enforcing logical specifications on neural networks

Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks

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

Vehicle: Interfacing Neural Network Verifiers with Interactive Theorem Provers


The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Confident Learning: Estimating Uncertainty in Dataset Labels

Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks

Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels

Back to the Basics: Revisiting Out-of-Distribution Detection Baselines

Measuring Data

Detecting Label Errors in Token Classification Data

Unveiling Safety Vulnerabilities of Large Language Models

CROWDLAB: Supervised learning to infer consensus labels and quality scores for data with multiple annotators

Identifying Incorrect Annotations in Multi-Label Classification Data

On Evaluation of Document Classification using RVL-CDIP


Scapy: the Python-based interactive packet manipulation program & library.

AALpy: an active automata learning library

Sonata: Query-Driven Network Telemetry

SROS2: Usable Cyber Security Tools for ROS 2

Python Crypto Misuses in the Wild

Proceedings of the 15th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)

ShieldRNN: A Distributed Flow-Based DDoS Detection Solution for IoT Using Sequence Majority Voting

Network Coding for Critical Infrastructure Networks

IoT-Scan: Network Reconnaissance for the Internet of Things

Distributed Function Chaining with Anycast Routing

DynamiQ: Planning for Dynamics in Network Streaming Analytics Systems

Experimental Validation of the Attack-Detection Capability of Encrypted Control Systems Using Man-in-the-Middle Attacks


Graph Convolutional Networks for Text Classification. AAAI 2019

A Survey on Text Classification: From Shallow to Deep Learning

HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification

Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification

Graph Convolutional Network Based on Multi-Head Pooling for Short Text Classification

A semantic hierarchical graph neural network for text classification

Quartet Logic: A Four-Step Reasoning (QLFR) framework for advancing Short Text Classification


The Triton Inference Server provides an optimized cloud and edge inferencing solution.

iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud

Who Says Elephants Can't Run: Bringing Large Scale MoE Models into Cloud Scale Production

A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation Models

Proceedings of the 16th ACM Conference on Recommender Systems

Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures

Active-Learning-as-a-Service: An Automatic and Efficient MLOps System for Data-Centric AI

Accelerating Machine Learning Inference with GPUs in ProtoDUNE Data Processing

Service Orchestration for Object Detection on Edge and Cloud in Dependable Industrial Vehicles

Physics analysis for the HL-LHC: Concepts and pipelines in practice with the Analysis Grand Challenge

Packrat: Automatic Reconfiguration for Latency Minimization in CPU-based DNN Serving

Hydro: Adaptive Query Processing of ML Queries


HI-ML toolbox for deep learning for medical imaging and Azure integration

Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing

MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training for X-ray Diagnosis

Knowledge-enhanced visual-language pre-training on chest radiology images

Enabling large-scale screening of Barrett’s esophagus using weakly supervised deep learning in histopathology

ChEX: Interactive Localization and Region Description in Chest X-rays


Official GitHub repository for netCDF-Fortran libraries, which depend on the netCDF C library.  Install the netCDF C library first.

The AlborEX dataset: sampling of sub-mesoscale features in the Alboran Sea


A modular implementation of timely dataflow in Rust

Disaggregation and the Application

New Directions in Cloud Programming

Graphsurge: Graph Analytics on View Collections Using Differential Computation

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

A Survey and Experimental Analysis of Distributed Subgraph Matching

The Renoir Dataflow Platform: Efficient Data Processing without Complexity

A cross-technology benchmark for incremental graph queries

Online Analysis of Distributed Dataflows with Timely Dataflow


Main gperftools repository

On the Impact of Memory Allocation on High-Performance Query Processing

International Workshop on Data Management on New Hardware

Pono: A Flexible and Extensible SMT-Based Model Checker

A comparison of three programming languages for a full-fledged next-generation sequencing tool

Shared Memory Parallel Subgraph Enumeration

Daisen: A Framework for Visualizing Detailed GPU Execution

Algorithms and Data Structures to Accelerate Network Analysis

Fast and highly parallelizable phrase table for statistical machine translation

Proceedings of the First Conference on Machine Translation: Volume 1,
          Research Papers

High-Performance Optimization of Algorithms Used in the BM@N Experiment of the NICA Project

MATHEMATICAL MODELING AND COMPUTATIONAL PHYSICS 2019 (MMCP 2019)


Generic system-wide modern C++ for heterogeneous platforms with SYCL from Khronos Group

ExaStencils: Advanced Multigrid Solver Generation

Software for Exascale Computing - SPPEXA 2016-2019

Accelerated Neural Networks on OpenCL Devices Using SYCL-DNN

Proceedings of the International Workshop on OpenCL

Code Generation from Simulink Models with Task and Data Parallelism

International Conference on Bioinformatics

Open SYCL on heterogeneous GPU systems: A case of study


Fast and Accurate ML in 3 Lines of Code

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation

Model-based Asynchronous Hyperparameter and Neural Architecture Search

Benchmarking Multimodal AutoML for Tabular Data with Text Fields

Transcriptome-based molecular subtypes and differentiation hierarchies improve the classification framework of acute myeloid leukemia

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

Convolution Meets LoRA: Parameter Efficient Finetuning for Segment
  Anything Model

Automatic Termination for Hyperparameter Optimization

Multi-objective Asynchronous Successive Halving

AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting

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


Neural network visualization toolkit for keras

iNNvestigate neural networks!

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

Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning

DeepCOVID-XR: An Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large U.S. Clinical Data Set.

Training confounder-free deep learning models for medical applications

Training deep neural networks for binary communication with the Whetstone method

Real-time pollen monitoring using digital holography

A deep learning approach to programmable RNA switches

Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed?

Human-grounded Evaluations of Explanation Methods for Text Classification


rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

Benchmarking Deep Reinforcement Learning for Continuous Control

Deep Reinforcement Learning: An Overview

Parameter Space Noise for Exploration

Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control

Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees

Stein Variational Policy Gradient

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

An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods

Policy Optimization as Wasserstein Gradient Flows

Policy Optimization by Genetic Distillation


A very simple framework for state-of-the-art Natural Language Processing (NLP)

Deep contextualized word representations

Neural Architectures for Named Entity Recognition

Named Entity Recognition with Bidirectional LSTM-CNNs

Pre-trained models for natural language processing: A survey

Contextual String Embeddings for Sequence Labeling

International Conference on Computational Linguistics

FLAIR: An Easy-to-Use Framework for State-of-the-Art NLP

North American Chapter of the Association for Computational Linguistics

Semi-supervised sequence tagging with bidirectional language models

LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention

A Survey on Text Classification: From Shallow to Deep Learning

Pooled Contextualized Embeddings for Named Entity Recognition


Interactively explore metagenomes and more from a web browser.

Engineering of CRISPR-Cas12b for human genome editing

Fungal community assembly in drought-stressed sorghum shows stochasticity, selection, and universal ecological dynamics

AAI-profiler: fast proteome-wide exploratory analysis reveals taxonomic identity, misclassification and contamination

Computational methods for 16S metabarcoding studies using Nanopore sequencing data

Computational and structural biotechnology journal

Target-Pathogen: A structural bioinformatic approach to prioritize drug targets in pathogens

TaxonTableTools - A comprehensive, platform-independent graphical user interface software to explore and visualise DNA metabarcoding data

A benchmark dataset of herbarium specimen images with label data

Does Organic Farming Increase Raspberry Quality, Aroma and Beneficial Bacterial Biodiversity?

Ruminal resistome of dairy cattle is individualized and the resistotypes are associated with milking traits

High-Throughput Cultivation for the Selective Isolation of Acidobacteria From Termite Nests


OpenEMS - Open Source Energy Management System

Optimized Charging of PV-Batteries for Households Using Real-Time Pricing Scheme: A Model and Heuristics-Based Implementation

A Heuristics-Based Policy to Reduce the Curtailment of Solar-Power Generation Empowered by Energy-Storage Systems


Representation learning on large graphs using stochastic graph convolutions.

Inductive Representation Learning on Large Graphs

DeepWalk: Online Learning of Social Representations

PROCEEDINGS OF THE 20TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD'14)

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling

Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

GraphSAINT: Graph Sampling Based Inductive Learning Method

Inductive Representation Learning on Temporal Graphs

Graph Self-Supervised Learning: A Survey


EDK II

undeSErVed trust: Exploiting Permutation-Agnostic Remote Attestation

UTTOS: A Tool for Testing UEFI Code in OS Environment

TESTING SOFTWARE AND SYSTEMS, ICTSS 2016

UEFI virtual machine firmware hardening through snapshots and attack surface reduction


Visualization of Functional Enrichment Result

Identification of prognostic immune-related genes in the tumor microenvironment of endometrial cancer

Hydroxysteroid 17-β dehydrogenase 13 variant increases phospholipids and protects against fibrosis in nonalcoholic fatty liver disease

Transcriptomic Responses to Thermal Stress and Varied Phosphorus Conditions in Fugacium kawagutii

SIRT6 is a key regulator of mitochondrial function in the brain

RNF31 inhibition sensitizes tumors to bystander killing by innate and adaptive immune cells

The androgen receptor is a therapeutic target in desmoplastic small round cell sarcoma

High Level of METTL7B Indicates Poor Prognosis of Patients and Is Related to Immunity in Glioma

A Liquid-Liquid Phase Separation-Related Gene Signature as Prognostic Biomarker for Epithelial Ovarian Cancer

Genome-Wide DNA Methylation and Gene Expression Profiles in Cows Subjected to Different Stress Level as Assessed by Cortisol in Milk

Transcriptome analysis reveals potential immune function-related regulatory genes/pathways of female Lubo goat submandibular glands at different developmental stages


Vitis AI is Xilinx’s development stack for AI inference on Xilinx hardware platforms, including both edge devices and Alveo cards.

hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices

Fast convolutional neural networks on FPGAs with hls4ml

Machine Learning: Science and Technology

DNNVM: End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-Based CNN Accelerators

A Systematic Assessment of Embedded Neural Networks for Object Detection

IEEE International Conference on Emerging Technologies and Factory Automation

Efficient Edge-AI Application Deployment for FPGAs

WinoCNN: Kernel Sharing Winograd Systolic Array for Efficient Convolutional Neural Network Acceleration on FPGAs

Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA

International Conference on Field-Programmable Logic and Applications

Understanding the Potential of FPGA-Based Spatial Acceleration for Large Language Model Inference

Resource-constrained FPGA implementation of YOLOv2

Adaptive Subsampling for ROI-Based Visual Tracking: Algorithms and FPGA Implementation


GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

GLM-130B: An Open Bilingual Pre-trained Model

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

KoLA: Carefully Benchmarking World Knowledge of Large Language Models

Effects of Generative Chatbots in Higher Education

Transformer models: an introduction and catalog

GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generation


Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.

ChoCo: a Chord Corpus and a Data Transformation Workflow for Musical Harmony Knowledge Graphs

TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations

Data on the design and operation of drones by both individuals and teams

selp: A Single-Shot Epistemic Logic Program Solver

The Probabilistic Termination Tool Amber

Generation of Pseudo Code from the Python Source Code using Rule-Based Machine Translation

optimade-python-tools: a Python library for serving and consuming materials data via OPTIMADE APIs

T5QL: Taming language models for SQL generation

DerivBase.Ru: a Derivational Morphology Resource for Russian

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

Grammar-Constrained Neural Semantic Parsing with LR Parsers

Meeting of the Association for Computational Linguistics


Pipe-friendly Framework for Basic Statistical Tests in R

Assessing the Accuracy of Popular Commercial Technologies That Measure Resting Heart Rate and Heart Rate Variability

Molecular evidence of widespread benzimidazole drug resistance in Ancylostoma caninum from domestic dogs throughout the USA and discovery of a novel β-tubulin benzimidazole resistance mutation

Multi-omics data integration using ratio-based quantitative profiling with Quartet reference materials

Zenodo (CERN European Organization for Nuclear Research)

Public Perceptions of Climate Change in the Peruvian Andes

Altered subgenomic RNA abundance provides unique insight into SARS-CoV-2 B.1.1.7/Alpha variant infections

Effect of scan angle on ALS metrics and area-based predictions of forest attributes for balsam fir dominated stands

Forestry: An International Journal of Forest Research

New chemical and microbial perspectives on vitamin B1 and vitamer dynamics of a coastal system

Establishing an Expert Consensus on Key Indicators of the Quality of Life among Breast Cancer Survivors: A Modified Delphi Study

A Metatranscriptomics Survey of Microbial Diversity on Surfaces Post-Intervention of cleanSURFACES® Technology in an Intensive Care Unit

Frontiers in cellular and infection microbiology

Taxonomic and genomic attributes of oligotrophic soil bacteria


The curation repository for the data behind Concepticon.

Concepticon: A Resource for the Linking of Concept Lists

Linking norms, ratings, and relations of words and concepts across multiple language varieties

General patterns and language variation: Word frequencies across English, German, and Chinese

Workshop on Cognitive Aspects of the Lexicon

Curating and extending data for language comparison in Concepticon and NoRaRe


Quantum hardware module and drivers for Qibo.

Qibo: a framework for quantum simulation with hardware acceleration

A quantum analytical Adam descent through parameter shift rule using Qibo

Qibolab: an open-source hybrid quantum operating system


NEURON Simulator

Modernizing the NEURON Simulator for Sustainability, Portability, and Performance

An optimizing multi-platform source-to-source compiler framework for the NEURON MODeling Language

Efficient Simulation of 3D Reaction-Diffusion in Models of Neurons and Networks

Dopaminergic and Cholinergic Modulation of Large Scale Networks in silico Using Snudda


Pipeline for processing FASTQ data from an Illumina MiSeq to genotype human RNA viruses like HIV and hepatitis C

HIV-1 diversity considerations in the application of the Intact Proviral DNA Assay (IPDA)

Performance comparison of next generation sequencing analysis pipelines for HIV-1 drug resistance testing

Role of co-expressed APOBEC3F and APOBEC3G in inducing HIV-1 drug resistance

HIV Proviral Burden, Genetic Diversity, and Dynamics in Viremic Controllers Who Subsequently Initiated Suppressive Antiretroviral Therapy

Molecular Epidemiology of HIV-1 in Ghana: Subtype Distribution, Drug Resistance and Coreceptor Usage

Quality Control of Next-Generation Sequencing-Based HIV-1 Drug Resistance Data in Clinical Laboratory Information Systems Framework

Dry Panels Supporting External Quality Assessment Programs for Next Generation Sequencing-Based HIV Drug Resistance Testing

Validation of Variant Assembly Using HAPHPIPE with Next-Generation Sequence Data from Viruses

A Bioinformatic Pipeline for Monitoring of the Mutational Stability of Viral Drug Targets with Deep-Sequencing Technology

Validation of a Genotype-Independent Hepatitis C Virus Near-Whole Genome Sequencing Assay


Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...

LambdaNet: Probabilistic Type Inference using Graph Neural Networks

Deep learning in electron microscopy

Toward Understanding Deep Learning Framework Bugs

Flashlight: Enabling Innovation in Tools for Machine Learning

The Linear Algebra Mapping Problem. Current State of Linear Algebra Languages and Libraries

An exploratory study on the introduction and removal of different types of technical debt in deep learning frameworks

Typesafe abstractions for tensor operations (short paper)

Applications of Neural Networks in Biomedical Data Analysis

An Intrusion Response System utilizing Deep Q-Networks and System Partitions

nuts-flow/ml: data pre-processing for deep learning


Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

Resolution-robust Large Mask Inpainting with Fourier Convolutions

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

DeepLoc 2.0: multi-label subcellular localization prediction using protein language models

TEMOS: Generating diverse human motions from textual descriptions

NeMo: a toolkit for building AI applications using Neural Modules

Atlas: End-to-End 3D Scene Reconstruction from Posed Images

Chemformer: a pre-trained transformer for computational chemistry

Objaverse-XL: A Universe of 10M+ 3D Objects

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

KLUE: Korean Language Understanding Evaluation


Open Source Computer Vision Library

DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars

Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs

Machine Learning Testing: Survey, Landscapes and Horizons

Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences

Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Fast Face-swap Using Convolutional Neural Networks

On the "steerability" of generative adversarial networks

Automatic classification of defective photovoltaic module cells in electroluminescence images

On Face Segmentation, Face Swapping, and Face Perception

Neural Code Comprehension: A Learnable Representation of Code Semantics


Material UI: Comprehensive React component library that implements Google's Material Design. Free forever.

An Empirical Analysis of UI-based Flaky Tests

Investigating the Impact of Continuous Integration Practices on the Productivity and Quality of Open-Source Projects

AN INTEGRATED APPROACH FOR LINKED DATA BROWSING

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

Data+Shift: Supporting visual investigation of data distribution shifts by data scientists

Leakpair: Proactive Repairing of Memory Leaks in Single Page Web Applications


The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

CausalRCA: Causal inference based precise fine-grained root cause localization for microservice applications

To Type or Not to Type? A Systematic Comparison of the Software Quality of JavaScript and TypeScript Applications on GitHub

Intelligent Performance Prediction: The Use Case of a Hadoop Cluster

Frisbee: A Suite for Benchmarking Systems Recovery

Proceedings of the 1st Workshop on High Availability and Observability of Cloud Systems

Adaptive Resource Allocation for Workflow Containerization on Kubernetes

When conversations turn into work: a taxonomy of converted discussions and issues in GitHub

Anomaly detection in the CERN cloud infrastructure

Active Learning Framework to Automate NetworkTraffic Classification


:seedling: Blockchain for planetary regeneration


A C++ library for interacting with JSON.

Parsing gigabytes of JSON per second

CppTransport: a platform to automate calculation of inflationary correlation functions

Open Chemistry: RESTful Web APIs, JSON, NWChem and the Modern Web Application

HAEC-SIM: A Simulation Framework for Highly Adaptive Energy-Efficient Computing Platforms

Simulation Tools and Techniques for Communications, Networks and System

Optimising PICCANTE - an Open Source Particle-in-Cell Code for Advanced Simulations on Tier-0 Systems

Xu: An Automated Query Expansion and Optimization Tool

Computer Software and Applications Conference

MAUS: the MICE analysis user software

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

Implementation of IMS/NGN Transport Stratum Based on the SDN Concept


A package for plotting maps in R with ggplot2

Reconciling the opposing effects of warming on phytoplankton biomass in 188 large lakes

Comparative Analysis of Dengue and Zika Outbreaks Reveals Differences by Setting and Virus

Assessing inequality, irregularity, and severity regarding road traffic safety during COVID-19

Amphibian responses in the aftermath of extreme climate events

Metabotyping as a Stopover in Genome-to-Phenome Mapping

Prediction limits of mobile phone activity modelling

An installation-level model of China's coal sector shows how its decarbonization and energy security plans will reduce overseas coal imports

Using Web Services to Work with Geodata in R

Sex-linked markers in an Australian frog Platyplectrum ornatum (Limnodynastidae) with a small genome and homomorphic sex chromosomes


A free and open database for farming and gardening knowledge. You can grow anything!


Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.

V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction

Implicit Neural Representations for Image Compression

VoxelContext-Net: An Octree based Framework for Point Cloud Compression

Variable Bitrate Neural Fields

Dynamic Adaptive Point Cloud Streaming

Proceedings of the 23rd Packet Video Workshop

MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models

Joint Communication and Computational Resource Allocation for QoE-driven Point Cloud Video Streaming

Deep Implicit Volume Compression

HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media

Textured Mesh Quality Assessment: Large-scale Dataset and Deep Learning-based Quality Metric


TensorFlow examples

Can You Hear It? Backdoor Attacks via Ultrasonic Triggers

Transport-based neural style transfer for smoke simulations

Litter Detection with Deep Learning: A Comparative Study

OpenBot: Turning Smartphones into Robots

Energy-aware adaptive offloading of soft real-time jobs in mobile edge clouds

Using Artificial Intelligence and IoT for Constructing a Smart Trash Bin

International Conference on Future Data and Security Engineering

Applying Artificial Intelligence to Classify the Maturity Level of Coffee Beans During Roasting

International Journal of Engineering, Science and Information Technology


FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/

The Llama 3 Herd of Models

Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications

Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models

Scaling Up Online Speech Recognition Using ConvNets

RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale Neural Recommendation

FastFormers: Highly Efficient Transformer Models for Natural Language Understanding

A Statistical Framework for Low-bitwidth Training of Deep Neural Networks

FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference

BiQGEMM: Matrix Multiplication with Lookup Table for Binary-Coding-Based Quantized DNNs

AutoShard: Automated Embedding Table Sharding for Recommender Systems


A robust Python tool for text-based AI training and generation using GPT-2.

TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation

Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbots

DAVE: Deriving Automatically Verilog from English

Does Human Collaboration Enhance the Accuracy of Identifying LLM-Generated Deepfake Texts?

Teaching Autoregressive Language Models Complex Tasks By Demonstration

FOLLOWUPQG: Towards Information-Seeking Follow-up Question Generation

Fraunhofer SIT@SMM4H’22: Learning to Predict Stances and Premises in Tweets related to COVID-19 Health Orders Using Generative Models


A disease diagnosis and treatment recommendation system based on big data mining and cloud computing

Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks

Building a comprehensive syntactic and semantic corpus of Chinese clinical texts

Encoding Conversation Context for Neural Keyphrase Extraction from Microblog Posts

North American Chapter of the Association for Computational Linguistics

Prosody leaks into the memories of words

Neural Networks for Negation Cue Detection in Chinese

Proceedings of the Workshop Computational Semantics Beyond Events and Roles

MUSIED: A Benchmark for Event Detection from Multi-Source Heterogeneous Informal Texts


A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

A Survey on Neural Speech Synthesis

Quartznet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutions

NeMo: a toolkit for building AI applications using Neural Modules

A Study of Generative Large Language Model for Medical Research and Healthcare

BioMegatron: Larger Biomedical Domain Language Model

Correction of Automatic Speech Recognition with Transformer Sequence-to-sequence Model

TitaNet: Neural Model for Speaker Representation with 1D Depth-Wise Separable Convolutions and Global Context

Hi-Fi Multi-Speaker English TTS Dataset

Squeezeformer: An Efficient Transformer for Automatic Speech Recognition

GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records


Main repository for the NREL-supported OpenFAST whole-turbine and FAST.Farm wind farm simulation codes.

ExaWind: A multifidelity modeling and simulation environment for wind energy

Augmented Kalman filter with a reduced mechanical model to estimate tower loads on a land-based wind turbine: a step towards digital-twin simulations

DTUWEC: an open-source DTU Wind Energy Controller with advanced industrial features

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

Land-based wind turbines with flexible rail transportable blades – Part I: Conceptual design and aeroservoelastic performance

Constrained Power Reference Control for Wind Turbines

Model tests of a 10 MW semi-submersible floating wind turbine under waves and wind using hybrid method to integrate the rotor thrust and moments

Numerical simulations of ice accretion on wind turbine blades: are performance losses due to ice shape or surface roughness?

Optimization-based calibration of hydrodynamic drag coefficients for a semisubmersible platform using experimental data of an irregular sea state

Control of a Floating Wind Turbine on a Novel Actuated Platform

Model-based closed-loop wind farm control for power maximization using Bayesian Optimization: a large eddy simulation study


Feedforward style transfer

Instance Normalization: The Missing Ingredient for Fast Stylization

Generating Adversarial Examples with Adversarial Networks

Demystifying Neural Style Transfer

Controlling Perceptual Factors in Neural Style Transfer

Artistic Style Transfer for Videos and Spherical Images

International Journal of Computer Vision

Disentangling Propagation and Generation for Video Prediction

NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night

Face beautification: Beyond makeup transfer

Frame Difference-Based Temporal Loss for Video Stylization

A Pragmatic AI Approach to Creating Artistic Visual Variations by Neural Style Transfer


Direct Sparse Odometry

Direct Sparse Odometry

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

Direct Sparse Visual-Inertial Odometry using Dynamic Marginalization

IEEE International Conference on Robotics and Automation

Good Feature Matching: Toward Accurate, Robust VO/VSLAM With Low Latency

Good Feature Selection for Least Squares Pose Optimization in VO/VSLAM

Sparse2Dense: From Direct Sparse Odometry to Dense 3-D Reconstruction

SDVL: Efficient and Accurate Semi-Direct Visual Localization

Automated Indoor Image Localization to Support a Post-Event Building Assessment

3D reconstruction of spherical images: a review of techniques, applications, and prospects

UAV-Borne Mapping Algorithms for Low-Altitude and High-Speed Drone Applications


novel deep learning research works with PaddlePaddle

UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning

PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable

Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction

Leveraging Graph to Improve Abstractive Multi-Document Summarization

Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs

Long Time No See! Open-Domain Conversation with Long-Term Persona Memory

CoKE: Contextualized Knowledge Graph Embedding

Robust Collaborative Learning of Patch-Level and Image-Level Annotations for Diabetic Retinopathy Grading From Fundus Image

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

HGAMN: Heterogeneous Graph Attention Matching Network for Multilingual POI Retrieval at Baidu Maps


OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

WebFace260M: A Benchmark for Million-Scale Deep Face Recognition

Stable LM 2 1.6B Technical Report

Automatic wildfire monitoring system based on deep learning

Deploying Machine Learning Models to Ahead-of-Time Runtime on Edge Using MicroTVM

MetaML: Automating Customizable Cross-Stage Design-Flow for Deep Learning Acceleration

Google Coral-based edge computing person reidentification using human parsing combined with analytical method

An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs

FootstepNet: an Efficient Actor-Critic Method for Fast On-line Bipedal
  Footstep Planning and Forecasting


BRAKER is a pipeline for fully automated prediction of protein coding gene structures with GeneMark-ES/ET/EP/ETP and AUGUSTUS in novel eukaryotic genomes

BRAKER2: automatic eukaryotic genome annotation with GeneMark-EP+ and AUGUSTUS supported by a protein database

BRAKER3: Fully automated genome annotation using RNA-seq and protein evidence with GeneMark-ETP, AUGUSTUS, and TSEBRA

bioRxiv : the preprint server for biology

Twelve quick steps for genome assembly and annotation in the classroom

Improved Reference Genome Uncovers Novel Sex-Linked Regions in the Guppy (Poecilia reticulata)

Foster thy young: enhanced prediction of orphan genes in assembled genomes

Genomic and Metabolomic Analyses of the Medicinal Fungus Inonotus hispidus for Its Metabolite’s Biosynthesis and Medicinal Application

Defining the ‘HoneySweet’ insertion event utilizing NextGen sequencing and a de novo genome assembly of plum (Prunus domestica)

Illumina and PacBio DNA sequencing data, de novo assembly and annotation of the genome of Aurantiochytrium limacinum strain CCAP_4062/1

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

Subgenome dominance shapes novel gene evolution in the decaploid pitcher plantNepenthes gracilis


Lightweight library to build and train neural networks in Theano

A survey on deep learning in medical image analysis

Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks

Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification

Deep learning for computational biology

Neural NILM: Deep Neural Networks Applied to Energy Disaggregation

BuildSys'15 : proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Buildings : November 4-5, 2015, Seoul, South Korea. ACM Conference on Embedded Systems for Energy-Efficient Buildings (2nd : 2015...

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks

Generative and Discriminative Voxel Modeling with Convolutional Neural Networks

Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks

Group sparse regularization for deep neural networks


Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities

Automated Machine Learning on Graphs: A Survey

Evaluation of Light Gradient Boosted Machine Learning Technique in Large Scale Land Use and Land Cover Classification

AMLB: an AutoML Benchmark

Prediction of Recurrent Mutations in SARS-CoV-2 Using Artificial Neural Networks

International journal of molecular sciences

Comparison of Automated Machine Learning Tools for SMS Spam Message Filtering

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

AutoDES: AutoML Pipeline Generation of Classification with Dynamic Ensemble Strategy Selection

Models including preoperative plasma levels of angiogenic factors, leptin and IL-8 as potential biomarkers of endometrial cancer

Diagnosing Hemophagocytic Lymphohistiocytosis with Machine Learning: A Proof of Concept


Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

MoleculeNet: a benchmark for molecular machine learning

Opportunities and obstacles for deep learning in biology and medicine

Low Data Drug Discovery with One-shot Learning

Self-Supervised Graph Transformer on Large-Scale Molecular Data

Large-scale comparison of machine learning methods for drug target prediction on ChEMBL

Recent advances and applications of deep learning methods in materials science

Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases

Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity

To Embed or Not: Network Embedding as a Paradigm in Computational Biology

Comprehensive Survey of Recent Drug Discovery Using Deep Learning


The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.

ScaleHLS: A New Scalable High-Level Synthesis Framework on Multi-Level Intermediate Representation

Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators

Automatic Creation of High-bandwidth Memory Architectures from Domain-specific Languages: The Case of Computational Fluid Dynamics

Bridging Control-Centric and Data-Centric Optimization

Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization

AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators


Icarus Verilog

VerilogEval: Evaluating Large Language Models for Verilog Code Generation

VeriGen: A Large Language Model for Verilog Code Generation

AutoChip: Automating HDL Generation Using LLM Feedback

Specification and Verification of Side-channel Security for Open-source Processors via Leakage Contracts

AutoBench: Automatic Testbench Generation and Evaluation Using LLMs for
  HDL Design

Towards LLM-Powered Verilog RTL Assistant: Self-Verification and
  Self-Correction

CraftRTL: High-quality Synthetic Data Generation for Verilog Code Models
  with Correct-by-Construction Non-Textual Representations and Targeted Code
  Repair

Synthesizing Hardware-Software Leakage Contracts for RISC-V Open-Source Processors


Dex to Java decompiler

Neural Sketch Learning for Conditional Program Generation

StoryDroid: Automated Generation of Storyboard for Android Apps

Do Android taint analysis tools keep their promises?

Security and Privacy Analyses of Internet of Things Children's Toys

An Empirical Assessment of Global COVID-19 Contact Tracing Applications

Embedding Java Classes with code2vec: Improvements from Variable Obfuscation

Research Commons (University of Waikato)

CRYLOGGER: Detecting Crypto Misuses Dynamically

Dissecting contact tracing apps in the Android platform

MalBERT: Using Transformers for Cybersecurity and Malicious Software Detection

A Method for Automatic Android Malware Detection Based on Static Analysis and Deep Learning


Actuator line modeling extension library for OpenFOAM.

Implementation and application of the actuator line model by OpenFOAM for a vertical axis wind turbine

IOP Conference Series: Materials Science and Engineering


Official Kaggle API

Vamsa: Automated Provenance Tracking in Data Science Scripts

Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and
  Understanding -- A Survey

UniTabE: Pretraining a Unified Tabular Encoder for Heterogeneous Tabular Data

What is my data worth? From data properties to data value

Can Deep Neural Networks Predict Data Correlations from Column Names?

Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data

UniPredict: Large Language Models are Universal Tabular Classifiers

Unleashing the Potential of Large Language Models for Predictive Tabular
  Tasks in Data Science

Metadata-Based Clustering and Selection of Metadata Items for Similar Dataset Discovery and Data Combination Tasks


The official Android app for OneBusAway

Lifestate: Event-Driven Protocols and Callback Control Flow (Extended Version)


A secure embedded operating system for microcontrollers

μTiles: Efficient Intra-Process Privilege Enforcement of Memory Regions

A Low-Latency Optimization of a Rust-Based Secure Operating System for Embedded Devices

Enabling Lightweight Privilege Separation in Applications with MicroGuards


MMseqs2: ultra fast and sensitive search and clustering suite

Highly accurate protein structure prediction with AlphaFold

Clustering huge protein sequence sets in linear time

Uniclust databases of clustered and deeply annotated protein sequences and alignments

A simple guide to de novo transcriptome assembly and annotation

xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein

Unraveling the functional dark matter through global metagenomics

Large-Scale Assessment of Bioinformatics Tools for Lysine Succinylation Sites

Metabolic Communication by SGLT2 Inhibition

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

ADOPT: intrinsic protein disorder prediction through deep bidirectional transformers


Computing reachable states of dynamical systems in Julia

Reach Set Approximation through Decomposition with Low-dimensional Sets and High-dimensional Matrices

ARCH-COMP20 Category Report: Continuous and Hybrid Systems with Nonlinear Dynamics

ARCH-COMP19 Category Report: Continuous and Hybrid Systems with Linear Continuous Dynamics

Conservative Time Discretization: A Comparative Study

ARCH-COMP18 Category Report: Continuous and Hybrid Systems with Linear Continuous Dynamics

Efficient reachability analysis of parametric linear hybrid systems with time-triggered transitions

Reachability Analysis of Linear Hybrid Systems via Block Decomposition

ARCH-COMP20 Category Report: Continuous and Hybrid Systems with Linear Continuous Dynamics


Count your code, quickly.

Validating Static Warnings via Testing Code Fragments

International Symposium on Software Testing and Analysis

Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation

Tooling for time- and space-efficient git repository mining

Proceedings of the 19th International Conference on Mining Software Repositories

FuzzerAid: Grouping Fuzzed Crashes Based On Fault Signatures

Bao-Enclave: Virtualization-based Enclaves for Arm


Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation

MC^2: Multi-concept Guidance for Customized Multi-concept Generation


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

Image Super-Resolution by Neural Texture Transfer

Is the deconvolution layer the same as a convolutional layer?

Maintaining Natural Image Statistics with the Contextual Loss

SRPGAN: Perceptual Generative Adversarial Network for Single Image Super Resolution

Improved SRGAN for Remote Sensing Image Super-Resolution Across Locations and Sensors

Journey Towards Tiny Perceptual Super-Resolution

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

AIM 2020 Challenge on Image Extreme Inpainting

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


PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification

Point Cloud Hand–Object Segmentation Using Multimodal Imaging with Thermal and Color Data for Safe Robotic Object Handover

Extracting Urban Road Footprints from Airborne LiDAR Point Clouds with PointNet++ and Two-Step Post-Processing

Exploiting Structured CNNs for Semantic Segmentation of Unstructured Point Clouds from LiDAR Sensor

Automated Segmentation of Individual Tree Structures Using Deep Learning over LiDAR Point Cloud Data

Geometry Matching for Multi-Embodiment Grasping

Mask-Point: Automatic 3D Surface Defects Detection Network for Fiber-Reinforced Resin Matrix Composites

First attempt of directionality reconstruction for atmospheric neutrinos in a large homogeneous liquid scintillator detector


Pythonic particle-based (super-droplet) warm-rain/aqueous-chemistry cloud microphysics package with box, parcel & 1D/2D prescribed-flow examples in Python, Julia and Matlab

Spanning the Gap From Bulk to Bin: A Novel Spectral Microphysics Method

Journal of Advances in Modeling Earth Systems

On the Design of Monte-Carlo Particle Coagulation Solver Interface: A CPU/GPU Super-Droplet Method Case Study with PySDM


Repository for MPAS models and shared framework releases.

Evaluation of a unique approach to high-resolution climate modeling using the Model for Prediction Across Scales – Atmosphere (MPAS-A) version 5.1

Towards multiscale modeling of ocean surface turbulent mixing using coupled MPAS-Ocean v6.3 and PALM v5.0

The Compressional Beta Effect: Analytical Solution, Numerical Benchmark, and Data Analysis

Anelastic equatorial waves with the complete Coriolis terms

Impact of Convective Parameterizations on Atmospheric Mesoscale Kinetic Energy Spectra in Global High‐Resolution Simulations

Zenodo (CERN European Organization for Nuclear Research)


A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

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

Bilinear Attention Networks

Towards VQA Models That Can Read

The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes

How Much Can CLIP Benefit Vision-and-Language Tasks?

A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge

TextCaps: a Dataset for Image Captioning with Reading Comprehension

UniT: Multimodal Multitask Learning with a Unified Transformer

Pythia v0.1: the Winning Entry to the VQA Challenge 2018

Cycle-Consistency for Robust Visual Question Answering


DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Deep Speech: Scaling up end-to-end speech recognition

Common Voice: A Massively-Multilingual Speech Corpus

Audio Adversarial Examples: Targeted Attacks on Speech-to-Text

Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems

Robust Audio Adversarial Example for a Physical Attack

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

Targeted Adversarial Examples for Black Box Audio Systems

The Discriminative Lexicon: A Unified Computational Model for the Lexicon and Lexical Processing in Comprehension and Production Grounded Not in (De)Composition but in Linear Discriminative Learning

Speaker Anonymization Using X-vector and Neural Waveform Models

Universal Adversarial Perturbations for Speech Recognition Systems


Tools for using the Kinect One (Kinect v2) in ROS

Choosing Smartly: Adaptive Multimodal Fusion for Object Detection in Changing Environments

The Freiburg Groceries Dataset

Detection and Compensation of Degeneracy Cases for IMU-Kinect Integrated Continuous SLAM with Plane Features

Automatic Calibration of an Industrial RGB-D Camera Network Using Retroreflective Fiducial Markers

Embedded Processing and Compression of 3D Sensor Data for Large Scale Industrial Environments

Simultaneous Material Segmentation and 3D Reconstruction in Industrial Scenarios

Cutting Pose Prediction from Point Clouds


Astrophysical Multipurpose Software Environment. This is the main repository  for AMUSE

The evolution of hierarchical triple star-systems

Rate of WD-WD head-on collisions in isolated triples is too low to explain standard type Ia supernovae

On the survivability of planets in young massive clusters and its implication of planet orbital architectures in globular clusters

Monthly notices of the Royal Astronomical Society

Secular dynamics of hierarchical multiple systems composed of nested binaries, with an arbitrary number of bodies and arbitrary hierarchical structure - II. External perturbations: flybys and supernovae

Monthly Notices of the Royal Astronomical Society

The signatures of the parental cluster on field planetary systems

Collisional N-body Dynamics Coupled to Self-gravitating Magnetohydrodynamics Reveals Dynamical Binary Formation

Capture of exocomets and the erosion of the Oort cloud due to stellar encounters in the Galaxy

Formation of supermassive stars in the first star clusters

Radiation shielding of protoplanetary discs in young star-forming regions

A MODEST review


The WebAssembly Binary Toolkit

Wasabi: A Framework for Dynamically Analyzing WebAssembly

EOSFuzzer: Fuzzing EOSIO Smart Contracts for Vulnerability Detection

Wasmati: An efficient static vulnerability scanner for WebAssembly

Characterizing and Detecting WebAssembly Runtime Bugs

Multi-modal Learning for WebAssembly Reverse Engineering

WaDec: Decompiling WebAssembly Using Large Language Model

Wasmizer: Curating WebAssembly-driven Projects on GitHub


Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

Vision Transformers for Dense Prediction

ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth

Projected GANs Converge Faster

Multi-Task Self-Training for Learning General Representations

Controlling Text-to-Image Diffusion by Orthogonal Finetuning

Geometry-Free View Synthesis: Transformers and no 3D Priors

MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation

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

Probing the 3D Awareness of Visual Foundation Models


Quantum chemistry and solid state physics software package

CP2K: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations

DFTB+, a software package for efficient approximate density functional theory based atomistic simulations

Low-Scaling GW with Benchmark Accuracy and Application to Phosphorene Nanosheets

Journal of chemical theory and computation

The Structure of Liquid and Amorphous Hafnia

Nuclear quantum effects on zeolite proton hopping kinetics explored with machine learning potentials and path integral molecular dynamics

Ground-State Properties of Metallic Solids from Ab Initio Coupled-Cluster Theory.

Local Environment and Dynamic Behavior of Fluoride Anions in Silicogermanate Zeolites: A Computational Study of the AST Framework

Subquadratic-scaling real-space random phase approximation correlation energy calculations for periodic systems with numerical atomic orbitals

Spin-orbit torque in single-molecule junctions from ab initio

Efficient Ab-Initio Molecular Dynamic Simulations by Offloading Fast Fourier Transformations to FPGAs


A type-safe HTTP client for Android and the JVM

RefDiff: Detecting Refactorings in Version Histories

What Makes a Good Commit Message?

Proceedings of the 44th International Conference on Software Engineering

Does Technical Debt Lead to the Rejection of Pull Requests?

Energy Minimization for Federated Asynchronous Learning on Battery-Powered Mobile Devices via Application Co-running

IDEAL: An Open-Source Identifier Name Appraisal Tool

Verifying Semantic Conflict-Freedom in Three-Way Program Merges

Relationships between design problem agglomerations and concerns having types and domains of software as transverse dimensions

Journal of the Brazilian Computer Society


openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars.

A Survey of Autonomous Driving: Common Practices and Emerging Technologies

ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning

PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark

Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Attack

"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice

Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect

Efficient Black-box Assessment of Autonomous Vehicle Safety

A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation

A Survey on Automated Driving System Testing: Landscapes and Trends

Experimental Resilience Assessment of An Open-Source Driving Agent

Pacific Rim International Symposium on Dependable Computing