Repo for external large-scale work

LLaMA: Open and Efficient Foundation Language Models

OPT: Open Pre-trained Transformer Language Models

Galactica: A Large Language Model for Science

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

Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations

Auditing large language models: a three-layered approach

Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning

Scaling Laws for Generative Mixed-Modal Language Models

On the Exploitability of Instruction Tuning

MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers


the package manager for JavaScript

PyCG: Practical Call Graph Generation in Python

Demystifying the Vulnerability Propagation and Its Evolution via Dependency Trees in the NPM Ecosystem

Silent Spring: Prototype Pollution Leads to Remote Code Execution in Node.js

A Review of Attacks Against Language-Based Package Managers


High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

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

Learning explanations that are hard to vary

Machine Learning the Physical Nonlocal Exchange-Correlation Functional of Density-Functional Theory.

The journal of physical chemistry letters

Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation

Hitachi at SemEval-2020 Task 8: Simple but Effective Modality Ensemble for Meme Emotion Recognition

International Workshop on Semantic Evaluation

Lost in Latent Space: Disentangled Models and the Challenge of Combinatorial Generalisation

GaMPEN: A Machine-learning Framework for Estimating Bayesian Posteriors of Galaxy Morphological Parameters

Is It Enough to Recommend Tasks to Newcomers? Understanding Mentoring on Good First Issues

VoicePrivacy 2022 System Description: Speaker Anonymization with Feature-matched F0 Trajectories

Morphological Parameters and Associated Uncertainties for 8 Million Galaxies in the Hyper Suprime-Cam Wide Survey


Open source drivers for the Kinect for Windows v2 device

Calibrate Multiple Consumer RGB-D Cameras for Low-Cost and Efficient 3D Indoor Mapping

mRI: Multi-modal 3D Human Pose Estimation Dataset using mmWave, RGB-D, and Inertial Sensors

Pulse Based Time-of-Flight Range Sensing

3D Measurement of Large Deformations on a Tensile Structure during Wind Tunnel Tests Using Microsoft Kinect V2

A Multiple-View Geometric Model for Specularity Prediction on General Curved Surfaces


Experiment-independent toolkit for (charged) particle track reconstruction in (high energy) physics experiments implemented in modern C++

Software and computing for Run 3 of the ATLAS experiment at the LHC

Implementation of ACTS for STCF track reconstruction

Software framework for the Super Charm-Tau factory detector project

Tracking with A Common Tracking Software

Requirements, Status, and Plans for Track Reconstruction at the sPHENIX Experiment


Apache OpenWhisk is an open source serverless cloud platform

Serverless Computing: Current Trends and Open Problems

Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider

The Serverless Computing Survey: A Technical Primer for Design Architecture

Formal foundations of serverless computing

Proceedings of the ACM on Programming Languages

Function delivery network: Extending serverless computing for heterogeneous platforms

AQUATOPE: QoS-and-Uncertainty-Aware Resource Management for Multi-stage Serverless Workflows

FaaSten Your Decisions: Classification Framework and Technology Review of Function-as-a-Service Platforms

No more, no less - A formal model for serverless computing

TppFaaS: Modeling Serverless Functions Invocations via Temporal Point Processes

Groundhog: Efficient Request Isolation in FaaS


Performant type-checking for python.

Data Leakage in Notebooks: Static Detection and Better Processes

An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection

Models Are Codes: Towards Measuring Malicious Code Poisoning Attacks on Pre-trained Model Hubs


Gaussian processes in TensorFlow

A Tutorial on Bayesian Optimization

Gaussian Processes for Big Data

When Gaussian Process Meets Big Data: A Review of Scalable GPs

GPflow: A Gaussian process library using TensorFlow

Convolutional Gaussian Processes

A Framework for Interdomain and Multioutput Gaussian Processes

Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction

Few-shot learning of neural networks from scratch by pseudo example optimization

AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models

Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions


"Das U-Boot" Source Tree

ReZone: Disarming TrustZone with TEE Privilege Reduction

Intelligent Security Monitoring System Based on RISC-V SoC

Protecting the Integrity of IoT Sensor Data and Firmware With A Feather-Light Blockchain Infrastructure


An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

AutoML: A survey of the state-of-the-art

Hyper-Parameter Optimization: A Review of Algorithms and Applications

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

Vulnerability detection with fine-grained interpretations

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21)

Automated Machine Learning: State-of-The-Art and Open Challenges

Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe

Neural Architecture Search: Insights from 1000 Papers

BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks

Convcast: An embedded convolutional LSTM based architecture for precipitation nowcasting using satellite data

Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis


Playwright is a framework for Web Testing and Automation. It allows testing Chromium, Firefox and WebKit with a single API.

ChessGPT: Bridging Policy Learning and Language Modeling

Unlocking the conversion of Web Screenshots into HTML Code with the
  WebSight Dataset

GUICourse: From General Vision Language Models to Versatile GUI Agents

Enhancing Vision-Language Pre-training with Rich Supervisions


gentle forced aligner

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations

MuST-C: a Multilingual Speech Translation Corpus

North American Chapter of the Association for Computational Linguistics

Augmenting Librispeech with French Translations: A Multimodal Corpus for Direct Speech Translation Evaluation

Multilingual End-to-End Speech Translation

SimulSpeech: End-to-End Simultaneous Speech to Text Translation

Meeting of the Association for Computational Linguistics

Multimodal Emotion Recognition with High-level Speech and Text Features

Encoding of phonology in a recurrent neural model of grounded speech

Conference on Computational Natural Language Learning

MEISD: A Multimodal Multi-Label Emotion, Intensity and Sentiment Dialogue Dataset for Emotion Recognition and Sentiment Analysis in Conversations

International Conference on Computational Linguistics

Enhancing Transformer for End-to-end Speech-to-Text Translation

Disentangling Syntax and Semantics in the Brain with Deep Networks


CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)

Evaluating Large Language Models Trained on Code

CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion

A survey of Generative AI Applications

Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code

Understanding LLMs: A Comprehensive Overview from Training to Inference

A Survey on Large Language Models for Software Engineering

A Survey on Natural Language Processing for Programming

Understanding Subjectivity through the Lens of Motivational Context in
  Model-Generated Image Satisfaction


A microbenchmark support library

The Double Sphere Camera Model

The valuation of currency options by fractional Brownian motion

Guidelines for Experimental Algorithmics: A Case Study in Network Analysis

ArborX: A Performance Portable Geometric Search Library

GeantV: Results from the prototype of concurrent vector particle transport simulation in HEP

Software-based data acquisition and processing for neutron detectors at European Spallation Source—early experience from four detector designs

Testing Very Large Database Management Systems: The Case of SAP HANA

Benanza: Automatic μBenchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs

International Parallel and Distributed Processing Symposium

Polylidar3D -- Fast Polygon Extraction from 3D Data

Distributed and parallel sparse convex optimization for radio interferometry with PURIFY


GitPython is a python library used to interact with Git repositories.

RAxML Grove: an empirical phylogenetic tree database

DLTPy: Deep Learning Type Inference of Python Function Signatures using Natural Language Context

SecretBench: A Dataset of Software Secrets

Tooling for time- and space-efficient git repository mining

Proceedings of the 19th International Conference on Mining Software Repositories

Scholarly Knowledge Extraction from Published Software Packages


An analysis and visualization platform for 'omics data

Functional repertoire convergence of distantly related eukaryotic plankton lineages abundant in the sunlit ocean

Unifying the known and unknown microbial coding sequence space

Uncultured Microbial Phyla Suggest Mechanisms for Multi-Thousand-Year Subsistence in Baltic Sea Sediments

Candidatus Alkanophaga archaea from Guaymas Basin hydrothermal vent sediment oxidize petroleum alkanes

Revealing the Host-Dependent Nature of an Engineered Genetic Inverter in Concordance with Physiology

Diversity at single nucleotide to pangenome scales among sulfur cycling bacteria in salt marshes


FastAPI framework, high performance, easy to learn, fast to code, ready for production

Efficient Memory Management for Large Language Model Serving with PagedAttention

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

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

OPTIMADE, an API for exchanging materials data

How AI Processing Delays Foster Creativity: Exploring Research Question Co-Creation with an LLM-based Agent

Deep Anatomical Federated Network (Dafne): an open client/server framework for the continuous collaborative improvement of deep-learning-based medical image segmentation

GazePointAR: A Context-Aware Multimodal Voice Assistant for Pronoun Disambiguation in Wearable Augmented Reality

Unsupervised Evaluation of Code LLMs with Round-Trip Correctness

Poisoned ChatGPT Finds Work for Idle Hands: Exploring Developers' Coding Practices with Insecure Suggestions from Poisoned AI Models

AgentDojo: A Dynamic Environment to Evaluate Attacks and Defenses for
  LLM Agents

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


EvoSuite - automated generation of JUnit test suites for Java classes

Automated Test Case Generation as a Many-Objective Optimisation Problem with Dynamic Selection of the Targets

IEEE Transactions on Software Engineering

RESTful API Automated Test Case Generation

International Conference on Software Quality, Reliability and Security

Test smells 20 years later: detectability, validity, and reliability

Defect Prediction Guided Search-Based Software Testing

International Conference on Automated Software Engineering

An Experimental Assessment of Using Theoretical Defect Predictors to Guide Search-Based Software Testing

Using Static Information of Programs to Partition the Input Domain in Search-based Test Data Generation

Journal of Information Systems and Telecommunication (JIST)

How good does a Defect Predictor need to be to guide Search-Based Software Testing?

Large-scale, Independent and Comprehensive study of the power of LLMs
  for test case generation

Test-based patch clustering for automatically-generated patches assessment

Bet and Run for Test Case Generation


GVINS: Tightly Coupled GNSS-Visual-Inertial Fusion for Smooth and Consistent State Estimation

P3-LOAM: PPP/LiDAR Loosely Coupled SLAM with Accurate Covariance Estimation and Robust RAIM in Urban Canyon Environment

High Quality Zenith Tropospheric Delay Estimation Using a Low-Cost Dual-Frequency Receiver and Relative Antenna Calibration

Comparison and Evaluation of Integrity Algorithms for Vehicle Dynamic State Estimation in Different Scenarios for an Application in Automated Driving

A Field Calibration Solution to Achieve High-Grade-Level Performance for Low-Cost Dual-Frequency GNSS Receiver and Antennas

An Improved QZSS Satellite Clock Offsets Prediction Based on the Extreme Learning Machine Method

A Method and a Model for Risk Assessment of GNSS Utilisation with a Proof-of-Principle Demonstration for Polar GNSS Maritime Applications

TransNav: International Journal on Marine Navigation and Safety of Sea Transportation

The Impact of Different Ocean Tide Loading Models on GNSS Estimated Zenith Tropospheric Delay Using Precise Point Positioning Technique


Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:

Deep Reinforcement Learning: An Overview

A Survey of Deep Reinforcement Learning in Video Games

Born to learn: The inspiration, progress, and future of evolved plastic artificial neural networks

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

Deep Reinforcement Learning from Policy-Dependent Human Feedback

Animal-AI 3: What's New & Why You Should Care


A fast and sensitive gapped read aligner

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

A simple guide to de novo transcriptome assembly and annotation

In vivo engineered B cells secrete high titers of broadly neutralizing anti-HIV antibodies in mice

Exomeres and supermeres: Monolithic or diverse?

Multiple roles of H2A.Z in regulating promoter chromatin architecture in human cells

A library of base editors for the precise ablation of all protein-coding genes in the mouse mitochondrial genome

Comparison of De Novo Assembly Strategies for Bacterial Genomes

International journal of molecular sciences

Molecular parallelism in fast-twitch muscle proteins in echolocating mammals

Comparative Molecular Characterization of Novel and Known Piscine Toti-Like Viruses

Multi-omics Comparative Analysis of Streptomyces Mutants Obtained by Iterative Atmosphere and Room-Temperature Plasma Mutagenesis


TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

OptTyper: Probabilistic Type Inference by Optimising Logical and Natural Constraints

Reinforcement Learning Tutor Better Supported Lower Performers in a Math Task

An Empirical Study on Using Multi-Labels for Issues in GitHub

Do Machine Learning Models Produce TypeScript Types That Type Check?

Generation of TypeScript Declaration Files from JavaScript Code

Trace Typing: An Approach for Evaluating Retrofitted Type Systems

Automatically Assessing and Extending Code Coverage for NPM Packages

SafeStrings: Representing Strings as Structured Data

Towards a more perfect union type

M2AR: A Web-based Modeling Environment for the Augmented Reality Workflow Modeling Language


Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

Automatic Detection of Online Jihadist Hate Speech

Unsupervised Paraphrasing with Pretrained Language Models

How can natural language processing help model informed drug development?: a review

Lexicon-based Methods vs. BERT for Text Sentiment Analysis

Modeling Creativity: Case Studies in Python

Guiding Neural Story Generation with Reader Models

Unified Visual Relationship Detection with Vision and Language Models

Adaptable Closed-Domain Question Answering Using Contextualized CNN-Attention Models and Question Expansion

BLISS: An Agent for Collecting Spoken Dialogue Data about Health and Well-being

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

POSNoise: An Effective Countermeasure Against Topic Biases in Authorship Analysis

Proceedings of the 16th International Conference on Availability, Reliability and Security


A static type analyzer for Python code

Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python

Proceedings of the 44th International Conference on Software Engineering

DocTer: documentation-guided fuzzing for testing deep learning API functions

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

PyART: Python API Recommendation in Real-Time

Static inference meets deep learning

Generative Type Inference for Python

Enhancing Comprehension and Navigation in Jupyter Notebooks with Static Analysis

Taming type annotations in gradual typing

Proceedings of the ACM on Programming Languages

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

TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference Tools

Leveraging Documentation to Test Deep Learning Library Functions


Graph-structured Indices for Scalable, Fast, Fresh and Filtered Approximate Nearest Neighbor Search

Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search

FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity Search

Worst-case Performance of Popular Approximate Nearest Neighbor Search Implementations: Guarantees and Limitations

Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment

Proceedings of the ACM on Management of Data

Locally-Adaptive Quantization for Streaming Vector Search

ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings
  and Structured Data

LeanVec: Searching vectors faster by making them fit

DiskANN++: Efficient Page-based Search over Isomorphic Mapped Graph Index using Query-sensitivity Entry Vertex


Optimized primitives for collective multi-GPU communication

TensorFlow: A system for large-scale machine learning

UNITER: UNiversal Image-TExt Representation Learning

Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent

Large-Scale Adversarial Training for Vision-and-Language Representation Learning

UNITER: Learning UNiversal Image-TExt Representations

Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect

IEEE Transactions on Parallel and Distributed Systems

wav2letter++: The Fastest Open-source Speech Recognition System

International Conference on Acoustics, Speech, and Signal Processing

Loss Max-Pooling for Semantic Image Segmentation

Reducing Communication in Graph Neural Network Training

Fast Object Learning and Dual-arm Coordination for Cluttered Stowing, Picking, and Packing

International Conference on Robotics and Automation


PyTorch tutorials.

Generalization and Robustness Implications in Object-Centric Learning

Stochastic In-Face Frank-Wolfe Methods for Non-Convex Optimization and Sparse Neural Network Training

On the notion of number in humans and machines

SOC-MartNet: A Martingale Neural Network for the Hamilton-Jacobi-Bellman
  Equation without Explicit inf H in Stochastic Optimal Controls


The official repository for the Weather Research and Forecasting (WRF) model

Sensitivity of organized convective storms to model grid spacing in current and future climates

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

Exploring the Effects of Rooftop Mitigation Strategies on Urban Temperatures and Energy Consumption

Journal of Geophysical Research: Atmospheres

Improving dust simulations in WRF-Chem v4.1.3 coupled with the GOCART aerosol module

A case study of wind farm effects using two wake parameterizations in the Weather Research and Forecasting (WRF) model (V3.7.1) in the presence of low-level jets

WRF-GC (v2.0): online two-way coupling of WRF (v3.9.1.1) and GEOS-Chem (v12.7.2) for modeling regional atmospheric chemistry-meteorology interactions

WRF‐TEB: Implementation and Evaluation of the Coupled Weather Research and Forecasting (WRF) and Town Energy Balance (TEB) Model

Journal of Advances in Modeling Earth Systems

Resolving the influence of local flows on urban heat amplification during heatwaves

Ensemble hindcasting of wind and wave conditions with WRF and WAVEWATCH III® driven by ERA5

Large-Eddy Simulations of Marine Boundary Layer Clouds Associated with Cold-Air Outbreaks during the ACTIVATE Campaign. Part I: Case Setup and Sensitivities to Large-Scale Forcings

Impact of model improvements on 80 m wind speeds during the second Wind Forecast Improvement Project (WFIP2)


InVEST®: models that map and value the goods and services from nature that sustain and fulfill human life.

Mapping the benefits of nature in cities with the InVEST software


Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Deep Residual Learning for Image Recognition

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

Character Region Awareness for Text Detection

OCR-free Document Understanding Transformer

Real-Time Scene Text Detection With Differentiable Binarization and Adaptive Scale Fusion

Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models

LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding

LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis

Unified Pretraining Framework for Document Understanding

Disentangling Hate in Online Memes

PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2021


A high performance implementation of the Ruby programming language, built on GraalVM.

Parallelization of dynamic languages: synchronizing built-in collections

Threaded Code Generation with a Meta-Tracing JIT Compiler

SecV: Secure Code Partitioning via Multi-Language Secure Values

Proceedings of the 24th International Middleware Conference on ZZZ


Probabilistic reasoning and statistical analysis in TensorFlow

Masked Autoregressive Flow for Density Estimation

A General and Adaptive Robust Loss Function

TensorFlow Distributions

Generative Ensembles for Robust Anomaly Detection

What can I do here? A Theory of Affordances in Reinforcement Learning

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems

PyAutoFit: A Classy Probabilistic Programming Language for Model Composition and Fitting

Probabilistic programming with densities in SlicStan: efficient, flexible, and deterministic

Effect Handling for Composable Program Transformations in Edward2

Conditional Independence by Typing


An adaptive and distributed-memory parallel implementation of the immersed boundary (IB) method

Hybrid finite difference/finite element immersed boundary method

Verification of cardiac mechanics software: benchmark problems and solutions for testing active and passive material behaviour

Proceedings. Mathematical, physical, and engineering sciences

Hydrodynamics of suspensions of passive and active rigid particles: a rigid multiblob approach

Communications in Applied Mathematics and Computational Science

A robust incompressible Navier-Stokes solver for high density ratio multiphase flows

A coupled mitral valve -- left ventricle model with fluid-structure interaction

A DLM immersed boundary method based wave-structure interaction solver for high density ratio multiphase flows

An Immersed Boundary method with divergence-free velocity interpolation and force spreading

An immersed interface method for discrete surfaces

Simulating water-entry/exit problems using Eulerian–Lagrangian and fully-Eulerian fictitious domain methods within the open-source IBAMR library

IB2d: a Python and MATLAB implementation of the immersed boundary method

Carolina Digital Repository (University of North Carolina at Chapel Hill)


TARDIS - Temperature And Radiative Diffusion In Supernovae

Monte Carlo Radiative Transfer

Living Reviews in Computational Astrophysics

Modeling Type Ic Supernovae with tardis: Hidden Helium in SN 1994I?

Ultraviolet Spectroscopy and TARDIS Models of the Broad-lined Type Ic Supernova 2014ad

SN 2019ewu: A Peculiar Supernova with Early Strong Carbon and Weak Oxygen Features from a New Sample of Young SN Ic Spectra


Official HDF5® Library Repository

QCD constraints on isospin-dense matter and the nuclear equation of state

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

RawHash2: Accurate and Fast Mapping of Raw Nanopore Signals using a Hash-based Seeding Mechanism

Green/WeakCoupling: Implementation of fully self-consistent finite-temperature many-body perturbation theory for molecules and solids

AMEP: The Active Matter Evaluation Package for Python

animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics


Hyperledger Fabric is an enterprise-grade permissioned distributed ledger framework for developing solutions and applications. Its modular and versatile design satisfies a broad range of industry use cases. It offers a unique approach to consensus that enables performance at scale while preserving privacy.

Santa Claus Algorithm: Agent-Based Consensus Preprocessing Method for Scalability Improvement in Private Blockchain Environment

Blockchain Consensus Protocols in the Wild

Trust Evaluation Mechanism for User Recruitment in Mobile Crowd-Sensing in the Internet of Things

Rethinking Permissioned Blockchains

Zenodo (CERN European Organization for Nuclear Research)

Smart Contract Templates: foundations, design landscape and research directions

Blockchain for drug traceability: Architectures and open challenges

Smart Contract Templates: essential requirements and design options

Non-determinism in Byzantine Fault-Tolerant Replication

Why Do My Blockchain Transactions Fail? A Study of Hyperledger Fabric
  (Extended version)*

Blockchains vs. Distributed Databases: Dichotomy and Fusion


Build system for the RTX-KG2 biomedical knowledge graph, part of the ARAX reasoning system (https://github.com/RTXTeam/RTX)

RTX-KG2: a system for building a semantically standardized knowledge graph for translational biomedicine

KGML-xDTD: A Knowledge Graph-based Machine Learning Framework for Drug Treatment Prediction and Mechanism Description


[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision

Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks

WeatherProof: A Paired-Dataset Approach to Semantic Segmentation in Adverse Weather

When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset


AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

FP8 versus INT8 for efficient deep learning inference

Neural Network Quantization with AI Model Efficiency Toolkit (AIMET)

A Practical Mixed Precision Algorithm for Post-Training Quantization

Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs

Quadapter: Adapter for GPT-2 Quantization

Softmax Bias Correction for Quantized Generative Models

KD-Lib: A PyTorch library for Knowledge Distillation, Pruning and Quantization

SketchINR: A First Look into Sketches as Implicit Neural Representations

INT-FP-QSim: Mixed Precision and Formats For Large Language Models and Vision Transformers

Quantization Aware Factorization for Deep Neural Network Compression


Making text a first-class citizen in TensorFlow.

Language-agnostic BERT Sentence Embedding

MuRIL: Multilingual Representations for Indian Languages

Fast WordPiece Tokenization

Natural Language Processing with Pandas DataFrames

Proceedings of the Python in Science Conferences

Power Law Graph Transformer for Machine Translation and Representation Learning

An Efficient Conversational Smart Compose System

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)


Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022

LMDX: Language Model-based Document Information Extraction and Localization

On Text Localization in End-to-End OCR-Free Document Understanding Transformer Without Text Localization Supervision

Visually Guided Generative Text-Layout Pre-training for Document Intelligence

PHD: Pixel-Based Language Modeling of Historical Documents


Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

Self-attention Does Not Need O(n^2) Memory

Towards rational computational peptide design

OpenProteinSet: Training data for structural biology at scale

CBP60-DB: An AlphaFold-predicted plant kingdom-wide database of the CALMODULIN-BINDING PROTEIN 60 (CBP60) protein family with a novel structural clustering algorithm

Identification and Validation of Magnolol Biosynthesis Genes in Magnolia officinalis

Dissecting AlphaFold’s Capabilities with Limited Sequence Information


This is the git repository matching the Bioconductor package xcms: LC/MS and GC/MS Data Analysis

Feature-based molecular networking in the GNPS analysis environment

TidyMass: An Object-oriented Reproducible Analysis Framework for LC-MS Data

Integrated Analysis of the Transcriptome and Metabolome Revealed Candidate Genes Involved in GA3-Induced Dormancy Release in Leymus chinensis Seeds

International journal of molecular sciences

UHPLC-IM-Q-ToFMS analysis of maradolipids, found exclusively in Caenorhabditis elegans dauer larvae

Comparative metabolic profiling of the mycelium and fermentation broth of Penicillium restrictum from Peucedanum praeruptorum rhizosphere


Automated Machine Learning with scikit-learn

Efficient and Robust Automated Machine Learning

Automated Machine Learning: Methods, Systems, Challenges

The Springer series on challenges in machine learning

Ten quick tips for machine learning in computational biology

Benchmark and Survey of Automated Machine Learning Frameworks

Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning

AutoML to Date and Beyond: Challenges and Opportunities

Automated Machine Learning: State-of-The-Art and Open Challenges

Machine-learning-based diagnostics of EEG pathology

Well-tuned Simple Nets Excel on Tabular Datasets

Benchmarking Automatic Machine Learning Frameworks


Scriptable database and system performance benchmark

TrustShadow: Secure Execution of Unmodified Applications with ARM TrustZone

MOBISYS'17: PROCEEDINGS OF THE 15TH ANNUAL INTERNATIONAL CONFERENCE ON MOBILE SYSTEMS, APPLICATIONS, AND SERVICES

DeFog: Fog Computing Benchmarks

Power Consumption of Virtualization Technologies: An Empirical Investigation

International Conference on Utility and Cloud Computing

A Survey on Edge Performance Benchmarking

Mining Sandboxes for Linux Containers

International Conference on Software Testing, Verification, and Validation

Computing Server Power Modeling in a Data Center

From Zero to Fog: Efficient Engineering of Fog-Based IoT Applications.

Performance Evaluation of Different Raspberry Pi Models for a Broad Spectrum of Interests

International Journal of Advanced Computer Science and Applications

Automated Reasoning and Detection of Specious Configuration in Large Systems with Symbolic Execution

Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines

Proceedings of the 2022 International Conference on Management of Data


CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.

Weakly-Supervised Hierarchical Text Classification

Question Answering as Global Reasoning over Semantic Abstractions

Automatic Generation of Acceptance Test Cases From Use Case Specifications: An NLP-Based Approach

Automatic Generation of System Test Cases from Use Case Specifications: an NLP-based Approach

Location reference recognition from texts: A survey and comparison

CogCompNLP: Your Swiss Army Knife for NLP

PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018)

HardEval: Focusing on Challenging Tokens to Assess Robustness of NER

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

Reasoning-Driven Question-Answering for Natural Language Understanding

NatCat: Weakly Supervised Text Classification with Naturally Annotated Resources

Explanation Regeneration via Multi-Hop ILP Inference over Knowledge Base

Workshop on Graph-based Methods for Natural Language Processing


Rekall Memory Forensic Framework

A Forensic Audit of the Tor Browser Bundle

Edinburgh Napier Research Repository (Edinburgh Napier University)

The Evolution of Volatile Memory Forensics

Memory snapshot dataset of a compromised host with malware using obfuscation evasion techniques

Memory Layout Extraction and Verification Method for Reliable Physical Memory Acquisition


Nim implementation of the Ethereum Beacon Chain

Resource Analysis of Ethereum 2.0 Clients

Security Review of Ethereum Beacon Clients

Can we run our Ethereum nodes at home?


A OpenMMLAB toolbox  for human pose estimation, skeleton-based action recognition, and action synthesis.

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Graph Embedded Pose Clustering for Anomaly Detection

Vision-based Human Fall Detection Systems using Deep Learning: A Review

Predictively encoded graph convolutional network for noise-robust skeleton-based action recognition

HA-ViD: A Human Assembly Video Dataset for Comprehensive Assembly Knowledge Understanding

Graph Neural Network based Child Activity Recognition

Recognition of Rare Low-Moral Actions Using Depth Data


Library for reading and analyzing astrophysical spectral data cubes

Orion SrcI’s Disk Is Salty

Gas velocity structure of the Orion A integral-shaped filament

Monthly notices of the Royal Astronomical Society

First Detection of Silicon-bearing Molecules in η Car

ALMA-IMF. IX. Catalog and Physical Properties of 315 SiO Outflow Candidates in 15 Massive Protoclusters

Net-zero gas inflow: deconstructing the gas consumption history of a
  massive quiescent galaxy with JWST and ALMA


Firefly: 大模型训练工具，支持训练Qwen2.5、Qwen2、Yi1.5、Phi-3、Llama3、Gemma、MiniCPM、Yi、Deepseek、Orion、Xverse、Mixtral-8x7B、Zephyr、Mistral、Baichuan2、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya2、Vicuna、Bloom等大模型

Qwen Technical Report

EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education

Chinese Open Instruction Generalist: A Preliminary Release

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

SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

LongQLoRA: Efficient and Effective Method to Extend Context Length of Large Language Models

Large Language Models Understand Layout

PatentGPT: A Large Language Model for Intellectual Property


QLoRA: Efficient Finetuning of Quantized LLMs

Learning From Mistakes Makes LLM Better Reasoner

How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study

SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF

VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks

LLMs and Finetuning: Benchmarking cross-domain performance for hate speech detection

Understanding the Impact of Post-Training Quantization on Large Language Models

Qlarify: Bridging Scholarly Abstracts and Papers with Recursively Expandable Summaries

Can we obtain significant success in RST discourse parsing by using
  Large Language Models?


Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Packages available at: https://www.nuget.org/profiles/Recognizers.Text, https://www.npmjs.com/~recognizers.text

TIMERS: Document-level Temporal Relation Extraction

Meeting of the Association for Computational Linguistics

Measurement Extraction with Natural Language Processing: A Review

Findings of the Association for Computational Linguistics: EMNLP 2022

Detecting context-based in-claim numerals in Financial Earnings Conference Calls

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

A Hybrid Semantic Parsing Approach for Tabular Data Analysis

Dataset and Baseline System for Multi-lingual Extraction and Normalization of Temporal and Numerical Expressions

Low Resource Quantitative Information Extraction via Structure Searching and Prefix-Based Text Generation

Proceedings of the AAAI Conference on Artificial Intelligence

A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions


CMSIS Version 5 Development Repository

CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs

Machine Learning at the Network Edge: A Survey

Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks

Online Learning of Oil Leak Anomalies in Wind Turbines with Block-Based Binary Reservoir

Energy-efficient Deployment of Deep Learning Applications on Cortex-M based Microcontrollers using Deep Compression


Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.

Manu: A Cloud Native Vector Database Management System

Lyfe Agents: Generative agents for low-cost real-time social interactions

Prompting Frameworks for Large Language Models: A Survey

Deep Lake: a Lakehouse for Deep Learning

KRAGEN: a knowledge graph-enhanced RAG framework for biomedical problem solving using large language models


Google core libraries for Java

RefDiff: Detecting Refactorings in Version Histories

JGraphT -- A Java library for graph data structures and algorithms

Learning Quick Fixes from Code Repositories

On the reaction to deprecation of clients of 4 + 1 popular Java APIs and the JDK

Incremental Consistency Guarantees for Replicated Objects

Darwinian data structure selection

NullAway: Practical Type-Based Null Safety for Java

Timed k-Tail: Automatic Inference of Timed Automata

An Empirical Study on the Impact of Refactoring Activities on Evolving Client-Used APIs

Early Life Cycle Software Defect Prediction. Why? How?


:electron: Build cross-platform desktop apps with JavaScript, HTML, and CSS

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

Investigating and Recommending Co-Changed Entities for JavaScript Programs

Demystifying Software Release Note Issues on GitHub

Backports: Change Types, Challenges and Strategies

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension

Mayall: A Framework for Desktop JavaScript Auditing and Post-Exploitation Analysis


Python library for science observations from the James Webb Space Telescope

The JWST Early Release Observations

The chemical enrichment in the early Universe as probed by JWST via direct metallicity measurements at z~8

Early Release Science of the exoplanet WASP-39b with JWST NIRSpec PRISM

Identification of carbon dioxide in an exoplanet atmosphere

Early Release Science of the Exoplanet WASP-39b with JWST NIRSpec G395H

CEERS Epoch 1 NIRCam Imaging: Reduction Methods and Simulations Enabling Early JWST Science Results

Confirmation and refutation of very luminous galaxies in the early Universe

Thermal emission from the Earth-sized exoplanet TRAPPIST-1 b using JWST

Panic! at the Disks: First Rest-frame Optical Observations of Galaxy Structure at z > 3 with JWST in the SMACS 0723 Field

JWST NIRCam+NIRSpec: Interstellar medium and stellar populations of young galaxies with rising star formation and evolving gas reservoirs


The primary source code repository for Macaulay2, a system for computing in commutative algebra, algebraic geometry and related fields.

Trisecant flops, their associated K3 surfaces and the rationality of some cubic fourfolds

Galois/Monodromy Groups for Decomposing Minimal Problems in 3D Reconstruction

D-Modules and Holonomic Functions

A package for computations with classical resultants

The Journal of Software for Algebra and Geometry

On genus one fibered Calabi-Yau threefolds with 5-sections

Vector Spaces of Generalized Euler Integrals

Sums of squares in Macaulay2

Numerical homotopies from Khovanskii bases

Explicit constructions of K3 surfaces and unirational Noether–Lefschetz divisors

Convex Algebraic Geometry of Curvature Operators

SIAM Journal on applied algebra and geometry


Tensorflow Faster RCNN for Object Detection

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

Feature Pyramid Networks for Object Detection

Physical Adversarial Examples for Object Detectors

Spatial Memory for Context Reasoning in Object Detection

Iterative Visual Reasoning Beyond Convolutions

An Implementation of Faster RCNN with Study for Region Sampling

Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

International Joint Conference on Neural Network

Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning

Weakly Supervised Object Detection in Artworks

Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation


Low-level data processing pipeline software for CTAO or similar arrays of Imaging Atmospheric Cherenkov Telescopes

Gammapy - A prototype for the CTA science tools

Studying deep convolutional neural networks with hexagonal lattices for imaging atmospheric Cherenkov telescope event reconstruction

Reconstruction of stereoscopic CTA events using deep learning with CTLearn

Prototype Open Event Reconstruction Pipeline for the Cherenkov Telescope Array

Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)

Physics Performance of the Large Size Telescope prototype of the Cherenkov Telescope Array

End-to-end data acquisition pipeline for the Cherenkov Telescope Array

Monte Carlo study of a single SST-1M prototype for the Cherenkov Telescope Array

Calibration and performance of the readout system based on switched capacitor arrays for the Large-Sized Telescope of the Cherenkov Telescope Array

Ground-based and Airborne Instrumentation for Astronomy VIII

Prospects for the Use of Photosensor Timing Information with Machine Learning Techniques in Background Rejection

Provenance as a requirement for large-scale complex astronomical instruments


Kokkos C++ Performance Portability Programming Ecosystem: The Programming Model - Parallel Execution and Memory Abstraction

ExaWind: A multifidelity modeling and simulation environment for wind energy

LFRic: Meeting the challenges of scalability and performance portability in Weather and Climate models

Journal of Parallel and Distributed Computing

Performance Assessment of OpenMP Compilers Targeting NVIDIA V100 GPUs

Evaluation of performance portability frameworks for the implementation of a particle-in-cell code

Performance portability of lattice Boltzmann methods for two-phase flows with phase change

Computer Methods in Applied Mechanics and Engineering

mdspan in C++: A Case Study in the Integration of Performance Portable Features into International Language Standards

PROCEEDINGS OF P3HPC 2019: 2019 IEEE/ACM INTERNATIONAL WORKSHOP ON PERFORMANCE, PORTABILITY AND PRODUCTIVITY IN HPC (P3HPC)

Stellar Mergers with HPX-Kokkos and SYCL: Methods of using an Asynchronous Many-Task Runtime System with SYCL

Simulating Stellar Merger using HPX/Kokkos on A64FX on Supercomputer Fugaku

High-speed turbulent flows towards the exascale: STREAmS-2 porting and performance

Tusas: A fully implicit parallel approach for coupled phase-field equations


The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)

P4-MACsec: Dynamic Topology Monitoring and Data Layer Protection with MACsec in P4-SDN

Multi-representation knowledge distillation for audio classification

YSE-PZ: A Transient Survey Management Platform that Empowers the Human-in-the-loop

Automatic Pull Request Title Generation

Bringing IoT to the Lab: SiLA2 and Open-Source-Powered Gateway Module for Integrating Legacy Devices into the Digital Laboratory

Residue-based Label Protection Mechanisms in Vertical Logistic Regression

Runtime Software Patching: Taxonomy, Survey and Future Directions

Versatile Configuration and Control Framework for Real-Time Data Acquisition Systems

Implementing a digital infrastructure for the lab using a central laboratory server and the SiLA2 communication standard

RPC Considered Harmful: Fast Distributed Deep Learning on RDMA


TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset

The tensorflow partitioning and scheduling problem: it's the critical path!

Ariadne: analysis for machine learning programs

Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages

Auptimizer - an Extensible, Open-Source Framework for Hyperparameter Tuning

FusionStitching: Boosting Execution Efficiency of Memory Intensive Computations for DL Workloads

vWitness: Certifying Web Page Interactions with Computer Vision


GPU development for the Madgraph5_aMC@NLO event generator software package

Design and engineering of a simplified workflow execution for the MG5aMC event generator on GPUs and vector CPUs

MadFlow: towards the automation of Monte Carlo simulation on GPU for particle physics processes

Developments in Performance and Portability for MadGraph5_aMC@NLO


Lightning fast C++/CUDA neural network framework

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

Nerfstudio: A Modular Framework for Neural Radiance Field Development

Extracting Triangular 3D Models, Materials, and Lighting From Images

Real-time neural radiance caching for path tracing

SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields

Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized Mapping

HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion

DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models

Human Performance Modeling and Rendering via Neural Animated Mesh

Graph Neural Networks for Channel Decoding


The Go programming language

Distributed programming using role-parametric session types in go: statically-typed endpoint APIs for dynamically-instantiated communication structures

Symposium on Principles of Programming Languages

We don't need another hero?

Fast Random Integer Generation in an Interval

ACM Transactions on Modeling and Computer Simulation

What is the Connection Between Issues, Bugs, and Enhancements?

Open or Sneaky? Fast or Slow? Light or Heavy?: Investigating Security Releases of Open Source Packages

Trojan Source: Invisible Vulnerabilities

A study of real-world data races in Golang

Proceedings of the 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation

Blade: A Data Center Garbage Collector

Hero: On the Chaos When PATH Meets Modules

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

IEEE Transactions on Software Engineering


A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

How To Backdoor Federated Learning

Pyro: Deep Universal Probabilistic Programming

fastai: A Layered API for Deep Learning

Lookahead Optimizer: k steps forward, 1 step back

Self-Challenging Improves Cross-Domain Generalization

Colorless green recurrent networks dream hierarchically

AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

Attack of the Tails: Yes, You Really Can Backdoor Federated Learning

A Closer Look at Accuracy vs. Robustness

Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning


General data-binding package for Jackson (2.x): works on streaming API (core) implementation(s)

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

Putting the Semantics into Semantic Versioning

Towards Generating Functionally Correct Code Edits from Natural Language Issue Descriptions

How well does LLM generate security tests?

How do developers deal with security issue reports on GitHub?

Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing


A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges

Cryptocurrency Trading: A Comprehensive Survey

Anatomy of a Stablecoin's failure: the Terra-Luna case

FTX's downfall and Binance's consolidation: The fragility of centralised digital finance

Periodicity in Cryptocurrency Volatility and Liquidity

Dependency structures in cryptocurrency market from high to low frequency


Open source routing engine for OpenStreetMap. Use it as Java library or standalone web server.

Evaluating Origin–Destination Matrices Obtained from CDR Data

Optimization models for fair horizontal collaboration in demand-responsive transportation

Implications of the Relocation Type and Frequency for Shared Autonomous Bike Service: Comparison between the Inner and Complete City Scenarios for Magdeburg as a Case Study

Towards a catalog of composite refactorings

OMOD: An open-source tool for creating disaggregated mobility demand based on OpenStreetMap

Data-Driven Analytics towards Software Sustainability: The Case of Open-Source Multimedia Tools on Cultural Storytelling

HappyRouting: Learning Emotion-Aware Route Trajectories for Scalable
  In-The-Wild Navigation


Header-only C++/python library for fast approximate nearest neighbors

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

The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation

International Journal of Computer Vision

Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors

Fashion Outfit Complementary Item Retrieval

Return of the Lernaean Hydra: Experimental Evaluation of Data Series Approximate Similarity Search

FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity Search

OutfitTransformer: Learning Outfit Representations for Fashion Recommendation

Graph based Nearest Neighbor Search: Promises and Failures

Accelerating Large-Scale Graph-Based Nearest Neighbor Search on a Computational Storage Platform

Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper)


Lightning Network Daemon ⚡

High Throughput Cryptocurrency Routing in Payment Channel Networks

Discharged Payment Channels: Quantifying the Lightning Network's Resilience to Topology-Based Attacks

Topological Analysis of Bitcoin's Lightning Network

Interledger Approaches

Congestion Attacks in Payment Channel Networks

A Cryptoeconomic Traffic Analysis of Bitcoin's Lightning Network

Privacy-Utility Tradeoffs in Routing Cryptocurrency over Payment Channel Networks

Proceedings of the ACM on Measurement and Analysis of Computing Systems

Blockchain-Based Payment Channel Networks: Challenges and Recent Advances

Toward Active and Passive Confidentiality Attacks On Cryptocurrency Off-Chain Networks

Counting Down Thunder: Timing Attacks on Privacy in Payment Channel Networks


Burrow-Wheeler Aligner for short-read alignment (see minimap2 for long-read alignment)

Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM

Pan-cancer whole-genome analyses of metastatic solid tumours

Telomere-to-telomere assembly of a complete human X chromosome

Genome graphs and the evolution of genome inference

Enzymatic methyl sequencing detects DNA methylation at single-base resolution from picograms of DNA

Real-time DNA barcoding in a rainforest using nanopore sequencing: opportunities for rapid biodiversity assessments and local capacity building

The Indian cobra reference genome and transcriptome enables comprehensive identification of venom toxins

Combined mutation in Vhl, Trp53 and Rb1 causes clear cell renal cell carcinoma in mice

Curated variation benchmarks for challenging medically relevant autosomal genes

Chromosome-level genome assembly of a parent species of widely cultivated azaleas


Intel staging area for llvm.org contribution. Home for Intel LLVM-based projects.

Accelerating Encrypted Computing on Intel GPUs

A Performance-Portable SYCL Implementation of CRK-HACC for Exascale

C-for-Metal: High Performance SIMD Programming on Intel GPUs

Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach

Proceedings of the 20th ACM International Conference on Computing Frontiers

Achieving Near-Native Runtime Performance and Cross-Platform Performance Portability for Random Number Generation Through SYCL Interoperability

Evaluating the performance portability of SYCL across CPUs and GPUs on bandwidth-bound applications

Porting Batched Iterative Solvers onto Intel GPUs with SYCL

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis

Open SYCL on heterogeneous GPU systems: A case of study

Experiences Building an MLIR-Based SYCL Compiler

Lessons Learned Migrating CUDA to SYCL: A HEP Case Study with ROOT RDataFrame


Official ECMAScript Conformance Test Suite

Montage: A Neural Network Language Model-Guided JavaScript Engine Fuzzer

Learning a Static Analyzer from Data

JaVerT 2.0: compositional symbolic execution for JavaScript

Proceedings of the ACM on Programming Languages

Gillian, Part II: Real-World Verification for JavaScript and C

Exposing Bugs in JavaScript Engines through Test Transplantation and Differential Testing

Gillian: Compositional Symbolic Execution for All

EMME: a formal tool for ECMAScript Memory Model Evaluation

Linear Matching of JavaScript Regular Expressions

A Coq Mechanization of JavaScript Regular Expression Semantics


LSD-SLAM

CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction

A Multi-Sensorial Simultaneous Localization and Mapping (SLAM) System for Low-Cost Micro Aerial Vehicles in GPS-Denied Environments

Real-time Monocular Visual Odometry for Turbid and Dynamic Underwater Environments

SDVL: Efficient and Accurate Semi-Direct Visual Localization

Bio-inspired visual self-localization in real world scenarios using Slow Feature Analysis

Common Data Fusion Framework: An open-source Common Data Fusion Framework for space robotics

International Journal of Advanced Robotic Systems

Advanced Algorithms of Collision Free Navigation and Flocking for Autonomous UAVs


Open Source H.264 Codec

DeepLens: Towards a Visual Data Management System

GRACE: Loss-Resilient Real-Time Video Communication Using Data-Scalable Autoencoder

Performance of AV1 Real-Time Mode


PyTorch code and models for the DINOv2 self-supervised learning method.

DINOv2: Learning Robust Visual Features without Supervision

Vision Transformers Need Registers

Probing the 3D Awareness of Visual Foundation Models

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

Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar

Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models

A General-Purpose Self-Supervised Model for Computational Pathology

Does Progress On Object Recognition Benchmarks Improve Real-World Generalization?

Improved Baselines for Data-efficient Perceptual Augmentation of LLMs

Low-resource finetuning of foundation models beats state-of-the-art in histopathology


Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

Surgical Data Science -- from Concepts toward Clinical Translation

On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID

A field-tested robotic harvesting system for iceberg lettuce.

Tools, techniques, datasets and application areas for object detection in an image: a review

Deep Learning for Retail Product Recognition: Challenges and Techniques

Computational intelligence and neuroscience

ROAD: The Road Event Awareness Dataset for Autonomous Driving

MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images

Towards a better understanding of annotation tools for medical imaging: a survey

Archaeologic Machine Learning for Shipwreck Detection Using Lidar and Sonar

Automated Muzzle Detection and Biometric Identification via Few-Shot Deep Transfer Learning of Mixed Breed Cattle


CBRAIN is a flexible Ruby on Rails framework for accessing and processing of large data on high-performance computing infrastructures.

Boutiques: a flexible framework to integrate command-line applications in computing platforms

Cyberinfrastructure for Open Science at the Montreal Neurological Institute

Integration of "omics" Data and Phenotypic Data Within a Unified Extensible Multimodal Framework

Boutiques: a flexible framework for automated application integration in computing platforms


OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Addressing Function Approximation Error in Actor-Critic Methods

Deep Reinforcement Learning that Matters

Deep Reinforcement Learning for Autonomous Driving: A Survey

Deep Reinforcement Learning: An Overview

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

An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation

Quantifying Generalization in Reinforcement Learning

Parameter Space Noise for Exploration

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research


nnU-Net. Framework for out-of-the box biomedical image segmentation. Can do inference on both gpu(if cuda available) and cpu(if cuda not available)

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation

nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge

nnU-Net for Brain Tumor Segmentation

Diffusion Models for Implicit Image Segmentation Ensembles

Deep Learning Based Brain Tumor Segmentation: A Survey

AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining


A set of documented functions for simulating the performance of photovoltaic energy systems.

Influence of Solar Position Calculation Methods Applied to Horizontal Single-Axis Solar Trackers on Energy Generation

Beginner's Guide to Visual Analysis of Perovskite and Organic Solar Cell Current Density–Voltage Characteristics

PROCSIM: An Open-Source Simulator to Generate Energy Community Power Demand and Generation Scenarios


CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

Nonlinear Model Predictive Control with Enhanced Actuator Model for Multi-Rotor Aerial Vehicles with Generic Designs

Journal of Intelligent and Robotic Systems

Nonlinear Model Predictive Control with Actuator Constraints for Multi-Rotor Aerial Vehicles

DICE2013R-mc: A Matlab / CasADi Implementation of Vanilla DICE 2013R

Optimization Alternatives for Robust Model-based Design of Synthetic Biological Circuits

Fast integrators with sensitivity propagation for use in CasADi


A framework to build power system oriented software


VIC-Res: Representation of water reservoir storage and operations in the Variable Infiltration Capacity (VIC) model

On the representation of water reservoir storage and operations in large-scale hydrological models: implications on model parameterization and climate change impact assessments

Solar energy and regional coordination as a feasible alternative to large hydropower in Southeast Asia


Fast Matrix Factorization for Online Recommendation with Implicit Feedback

Dynamic Matrix Factorization with Priors on Unknown Values

Fast Matrix Factorization With Nonuniform Weights on Missing Data

LSTM Networks for Online Cross-Network Recommendations


Sparse CNN Accelerator targeting Intel FPGA

Automated Systolic Array Architecture Synthesis for High Throughput CNN Inference on FPGAs

PROCEEDINGS OF THE 2017 54TH ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC)

Efficient and Effective Sparse LSTM on FPGA with Bank-Balanced Sparsity

Symposium on Field Programmable Gate Arrays

PipeCNN: An OpenCL-based open-source FPGA accelerator for convolution neural networks

International Conference on Field-Programmable Technology


Count number of mapped reads per reference in SAM files (often for RNA-Seq experiments)

Infection Strategies Deployed by Botrytis cinerea, Fusarium acuminatum, and Rhizopus stolonifer as a Function of Tomato Fruit Ripening Stage

Dual functionality of the amyloid protein TasA in Bacillus physiology and fitness on the phylloplane

Bacillus subtilis biofilm matrix components target seed oil bodies to promote growth and anti-fungal resistance in melon

RNA-sequencing reveals early, dynamic transcriptome changes in the corollas of pollinated petunias

Host susceptibility factors render ripe tomato fruit vulnerable to fungal disease despite active immune responses

Whole-Genome Resequencing and Pan-Transcriptome Reconstruction Highlight the Impact of Genomic Structural Variation on Secondary Metabolite Gene Clusters in the Grapevine Esca Pathogen Phaeoacremonium minimum

Comparative transcriptome analysis of the wild-type model apomict Hieracium praealtum and its loss of parthenogenesis (lop) mutant

Single and Double Mutations in Tomato Ripening Transcription Factors Have Distinct Effects on Fruit Development and Quality Traits

Small RNA Deep Sequencing Identifies a Unique miRNA Signature Released in Serum Exosomes in a Mouse Model of Sjögren's Syndrome

Susceptibility to disease (tropical theileriosis) is associated with differential expression of host genes that possess motifs recognised by a pathogen DNA binding protein


[ICML 2024 spotlight] This repository contains the implementation details for the paper "Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization"

Federated Optimization in Heterogeneous Networks

FedCM: Federated Learning with Client-level Momentum


HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution

DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome

Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling

GenBench: A Benchmarking Suite for Systematic Evaluation of Genomic
  Foundation Models


On random embeddings and their application to optimisation

Speeding up Krylov subspace methods for computing f(A)b via randomization

Hashing embeddings of optimal dimension, with applications to linear least squares


xBD: A Dataset for Assessing Building Damage from Satellite Imagery

Self-supervised pre-training enhances change detection in Sentinel-2 imagery

Semantic Change Detection with Asymmetric Siamese Networks

Hi-UCD: A Large-scale Dataset for Urban Semantic Change Detection in Remote Sensing Imagery

Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review


Code for the paper - ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning

A Simple and Effective Pruning Approach for Large Language Models

Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?


DeepLearning for Tabular Data with FT_Transformer & ResNet

Revisiting Deep Learning Models for Tabular Data

On Embeddings for Numerical Features in Tabular Deep Learning

Revisiting Pretraining Objectives for Tabular Deep Learning


Official code for PixMamba

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

VMamba: Visual State Space Model

VM-UNet: Vision Mamba UNet for Medical Image Segmentation

PixMamba: Leveraging State Space Models in a Dual-Level Architecture for Underwater Image Enhancement


Domain Aggregation Networks

Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation

Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers

Learning to Transfer with von Neumann Conditional Divergence


Spliced read mapper for RNA-Seq

Characterizing Mutational Signatures in Human Cancer Cell Lines Reveals Episodic APOBEC Mutagenesis

The Implication of Early Chromatin Changes in X Chromosome Inactivation

A targetable LIFR−NF-κB−LCN2 axis controls liver tumorigenesis and vulnerability to ferroptosis

Comparison of Alternative Splicing Junction Detection Tools Using RNA-Seq Data

Transcriptome Differences in Porcine Alveolar Macrophages from Tongcheng and Large White Pigs in Response to Highly Pathogenic Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) Infection

International journal of molecular sciences

Proteogenomic Analysis Unveils the HLA Class I-Presented Immunopeptidome in Melanoma and EGFR-Mutant Lung Adenocarcinoma

Integrated time-series transcriptomic and metabolomic analyses reveal different inflammatory and adaptive immune responses contributing to host resistance to PRRSV

Multiomic molecular characterization of the response to combination immunotherapy in MSS/pMMR metastatic colorectal cancer

Identification of Candidate Genes for a Major Quantitative Disease Resistance Locus From Soybean PI 427105B for Resistance to Phytophthora sojae


Basic, no assumptions, multi-pileup

Synthetic microbe communities provide internal reference standards for metagenome sequencing and analysis

piRNAs Are Associated with Diverse Transgenerational Effects on Gene and Transposon Expression in a Hybrid Dysgenic Syndrome of D. virilis

Whole genome sequencing in Drosophila virilis identifies Polyphemus, a recently activated Tc1-like transposon with a possible role in hybrid dysgenesis


Effective Long-Context Scaling of Foundation Models

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


LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Neural Graph Collaborative Filtering

PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19)

FourierKAN-GCF: Fourier Kolmogorov-Arnold Network -- An Effective and
  Efficient Feature Transformation for Graph Collaborative Filtering


The code repository for "Parrot: Multilingual Visual Instruction Tuning" in PyTorch.

Ovis: Structural Embedding Alignment for Multimodal Large Language Model

Wings: Learning Multimodal LLMs without Text-only Forgetting


AAPL: Adding Attributes to Prompt Learning for Vision-Language Models (CVPRw 2024)

Learning Transferable Visual Models From Natural Language Supervision

Learning to Prompt for Vision-Language Models

Conditional Prompt Learning for Vision-Language Models


[CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning

Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble

Offline RL With Realistic Datasets: Heteroskedasticity and Support Constraints

Accelerating Exploration with Unlabeled Prior Data


:compass: COMPASS: Combinatorial Optimization with Policy Adaptation using Latent Space Search

Efficient Active Search for Combinatorial Optimization Problems


Detect doublets in single-cell RNA-seq data

A single-cell and single-nucleus RNA-Seq toolbox for fresh and frozen human tumors

A Single-Cell RNA Expression Map of Human Coronavirus Entry Factors

bioRxiv : the preprint server for biology

Single-cell lineage tracing unveils a role for TCF15 in haematopoiesis

Targeted pharmacological therapy restores β-cell function for diabetes remission

Distinct molecular and immune hallmarks of inflammatory arthritis induced by immune checkpoint inhibitors for cancer therapy

Capillarized Liver Sinusoidal Endothelial Cells Undergo Partial Endothelial-Mesenchymal Transition to Actively Deposit Sinusoidal ECM in Liver Fibrosis

Frontiers in cell and developmental biology

A transcriptional cross species map of pancreatic islet cells

Protocol for Single-Nucleus Transcriptomics of Diploid and Tetraploid Cardiomyocytes in Murine Hearts

Chord: an ensemble machine learning algorithm to identify doublets in single-cell RNA sequencing data

Cell type- and time-dependent biological responses in ex vivo perfused lung grafts


Repo for the EMNLP'24 Paper "Dual-Space Knowledge Distillation for Large Language Models".

Knowledge Fusion of Large Language Models

Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs


Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games

Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning

Safe Multi-agent Reinforcement Learning with Natural Language Constraints


Collecting Resources in Sub-Saharan African Languages for Automatic Speech Recognition: a Case Study of Wolof

Advanced Convolutional Neural Network-Based Hybrid Acoustic Models for Low-Resource Speech Recognition

The first large scale collection of diverse Hausa language datasets

PronouncUR: An Urdu Pronunciation Lexicon Generator

Machine Assisted Analysis of Vowel Length Contrasts in Wolof


Neural min-sum decoding in TensorFlow

Deep Learning Methods for Improved Decoding of Linear Codes

IEEE Journal on Selected Topics in Signal Processing

Neural Offset Min-Sum Decoding

Learning from the Syndrome


[NeurIPS 2024] Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

ModelScope Text-to-Video Technical Report


With this package, you can generate mixed-integer linear programming (MIP) models of trained artificial neural networks (ANNs) using the rectified linear unit (ReLU) activation function. At the moment, only TensorFlow sequential models are supported. Interfaces to either the Pyomo or Gurobi modeling environments are offered.

Deterministic Global Optimization with Artificial Neural Networks Embedded

Journal of Optimization Theory and Applications

ReLU Networks as Surrogate Models in Mixed-Integer Linear Programs

OMLT: Optimization & Machine Learning Toolkit

When Deep Learning Meets Polyhedral Theory: A Survey

Physics Informed Piecewise Linear Neural Networks for Process Optimization

Optimizing over trained GNNs via symmetry breaking


The official Meta Llama 3 GitHub site

Qwen2 Technical Report

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts
  Language Model

RULER: What's the Real Context Size of Your Long-Context Language
  Models?

SWE-agent: Agent-Computer Interfaces Enable Automated Software
  Engineering

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

VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large
  Language Models

Efficient Multimodal Learning from Data-centric Perspective

AlpaCare:Instruction-tuned Large Language Models for Medical Application

How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study


Learning phrase grounding from captioned images through InfoNCE bound on mutual information

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

Contrastive Learning for Weakly Supervised Phrase Grounding

Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation

Who's Waldo? Linking People Across Text and Images


A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges

Aspect Sentiment Quad Prediction as Paraphrase Generation

Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis

Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction


HoloGAN

GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis

StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis

3D-aware Image Synthesis via Learning Structural and Textural Representations

Unsupervised Learning of Depth and Depth-of-Field Effect from Natural Images with Aperture Rendering Generative Adversarial Networks

HoloGAN: Unsupervised learning of 3D representations from natural images


Scripts and tutorials on how to assemble individual microbial genomes from metagenomes

The reconstruction of 2,631 draft metagenome-assembled genomes from the global oceans

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

Computational and structural biotechnology journal

Metagenomic exploration of the marine sponge mycale hentscheli uncovers multiple polyketide-producing bacterial symbionts

Potential Mechanisms for Microbial Energy Acquisition in Oxic Deep-Sea Sediments

Metaviromics of Namib Desert Salt Pans: A Novel Lineage of Haloarchaeal Salterproviruses and a Rich Source of ssDNA Viruses

Integrating Culture-based Antibiotic Resistance Profiles with Whole-genome Sequencing Data for 11,087 Clinical Isolates

基因组蛋白质组与生物信息学报

In situ electrosynthetic bacterial growth using electricity generated by a deep-sea hydrothermal vent

Identification, Recovery, and Refinement of Hitherto Undescribed Population-Level Genomes from the Human Gastrointestinal Tract


Using VideoBERT to tackle video prediction

VideoBERT: A Joint Model for Video and Language Representation Learning

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

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


Dataset that was used during the PHM IEEE 2012 Data Challenge, built by the FEMTO-ST Institute

Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study

A Method for Health Indicator Evaluation for Condition Monitoring of Industrial Robot Gears

Method for Predicting RUL of Rolling Bearings under Different Operating Conditions Based on Transfer Learning and Few Labeled Data


This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of the 35th International Conference on Machine Learning (ICML). 2018. to assess the disentanglement properties of unsupervised learning methods.

Algorithmic fairness datasets: the story so far

Learning disentangled representations in the imaging domain

Disentangled Representation Learning

Attribute-based Regularization of Latent Spaces for Variational Auto-Encoders

Transferring Fairness under Distribution Shifts via Fair Consistency Regularization

Concept Embedding Analysis: A Review

Equivariant Representation Learning via Class-Pose Decomposition

dMelodies: A Music Dataset for Disentanglement Learning

Gromov-Wasserstein Autoencoders

Robust Generative Restricted Kernel Machines using Weighted Conjugate Feature Duality


Tools for mapping a sentence with arbitrary length to vector space

Neural sentence embedding models for semantic similarity estimation in the biomedical domain

CrystalNest at SemEval-2017 Task 4: Using Sarcasm Detection for Enhancing Sentiment Classification and Quantification

Meeting of the Association for Computational Linguistics

Micro-Video Popularity Prediction Via Multimodal Variational Information Bottleneck

Computing Semantic Text Similarity Using Rich Features

Pacific Asia Conference on Language, Information, and Computation


A prototype implementation of Bao for PostgreSQL

Balsa: Learning a Query Optimizer Without Expert Demonstrations

Proceedings of the 2022 International Conference on Management of Data

Maliva: Using Machine Learning to Rewrite Visualization Queries Under Time Constraints

COOOL: A Learning-To-Rank Approach for SQL Hint Recommendations


a collection of functions that measure the readability of a given body of text

Data-Driven Sentence Simplification: Survey and Benchmark

International Conference on Computational Logic

Dynamic Multi-Level Multi-Task Learning for Sentence Simplification

Flesch-Kincaid is Not a Text Simplification Evaluation Metric

WikiSum: Coherent Summarization Dataset for Efficient Human-Evaluation

A Semi-Supervised Approach for Low-Resourced Text Generation

Multitask Models for Controlling the Complexity of Neural Machine Translation

Proceedings of the The Fourth Widening Natural Language Processing Workshop


Face recognition SDK Android with 3D passive liveness detection (Face Detection, Face Landmarks, Face Recognition, Face Liveness, Face Pose, Face Expression, Face attributes)

FaceNet: A Unified Embedding for Face Recognition and Clustering

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

SphereFace: Deep Hypersphere Embedding for Face Recognition

VGGFace2: A dataset for recognising faces across pose and age

CosFace: Large Margin Cosine Loss for Deep Face Recognition

MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition

Learning Face Representation from Scratch

A Light CNN for Deep Face Representation With Noisy Labels

Circle Loss: A Unified Perspective of Pair Similarity Optimization

AdaFace: Quality Adaptive Margin for Face Recognition


NIST_FRVT Top 1 Face Recognition, Liveness Detection(Face Anti-Spoof) Android SDK Demo ☑ Face Recognition ☑ Face Liveness Detection ☑ Face Pose Estimation

Deep Learning Face Representation from Predicting 10,000 Classes

Deep Learning Face Representation by Joint Identification-Verification

Additive Margin Softmax for Face Verification

Deep Face Recognition: A Survey

SIBGRAPI Conference on Graphics, Patterns and Images


Official code repository of CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph

Generating 3D Molecules for Target Protein Binding

DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding

Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration


AlphaMath Almost Zero: process Supervision without process

MARIO: MAth Reasoning with code Interpreter Output -- A Reproducible Pipeline

Step-level Value Preference Optimization for Mathematical Reasoning

MARIO Eval: Evaluate Your Math LLM with your Math LLM--A mathematical
  dataset evaluation toolkit


Tools for accelerating safe exploration research.

Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark

Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm

A Provably-Efficient Model-Free Algorithm for Constrained Markov Decision Processes

Actionable Guidance for High-Consequence AI Risk Management: Towards Standards Addressing AI Catastrophic Risks

SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous Driving

Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks


This is a React web application designed to demonstrate common use cases of the DW TAP Computational Framework and API.


Code for paper "G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment"

LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models

Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on
  Zero-shot LLM Assessment

A Closer Look into Automatic Evaluation Using Large Language Models

Fusion-Eval: Integrating Assistant Evaluators with LLMs

DEBATE: Devil's Advocate-Based Assessment and Text Evaluation


Dream to Control: Learning Behaviors by Latent Imagination

Model-Based Visual Planning with Self-Supervised Functional Distances

Learning Representations for Pixel-based Control: What Matters and Why?

Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles

Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning

Dynamic Horizon Value Estimation for Model-based Reinforcement Learning


Deep BSDE solver in TensorFlow

Solving high-dimensional partial differential equations using deep learning

Deep Learning-Based Numerical Methods for High-Dimensional Parabolic Partial Differential Equations and Backward Stochastic Differential Equations

Communications in Mathematics and Statistics

A fully nonlinear Feynman–Kac formula with derivatives of arbitrary orders

A Deep-Genetic Algorithm (Deep-GA) Approach for High-Dimensional Nonlinear Parabolic Partial Differential Equations


code for TCL: Vision-Language Pre-Training with Triple Contrastive Learning, CVPR 2022

MixGen: A New Multi-Modal Data Augmentation

SuS-X: Training-Free Name-Only Transfer of Vision-Language Models

Are Multimodal Models Robust to Image and Text Perturbations?


Dynamic Few-Shot Visual Learning without Forgetting

A Baseline for Few-Shot Image Classification

How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning


Multimodal Model for Memotion Dataset

Gated Multimodal Units for Information Fusion

SemEval-2020 Task 8: Memotion Analysis -- The Visuo-Lingual Metaphor!

Humor Detection: A Transformer Gets the Last Laugh


Quick summary statistics on fasta/fastq(.gz) files

A haplotype resolved chromosomal level avocado genome allows analysis of novel avocado genes

Galba: genome annotation with miniprot and AUGUSTUS

Reference nodule transcriptomes for Melilotus officinalis and Medicago sativa cv. Algonquin


Contains python tools for performing website fingerprinting classification as well as fetching web-pages.

Deep Fingerprinting: Undermining Website Fingerprinting Defenses with Deep Learning

Var-CNN: A Data-Efficient Website Fingerprinting Attack Based on Deep Learning

Proceedings on Privacy Enhancing Technologies

Measuring Information Leakage in Website Fingerprinting Attacks and Defenses

High Precision Open-World Website Fingerprinting

p-FP: Extraction, Classification, and Prediction of Website Fingerprints with Deep Learning


High fidelity flight simulation for an autonomous low SWaP (Size, Weight, and Power) fixed wing unmanned air vehicle in GNSS-Denied conditions.

Minimization of GNSS-Denied Inertial Navigation Errors for Fixed Wing Autonomous Unmanned Air Vehicles

GNSS-Denied Semi-Direct Visual Navigation for Autonomous UAVs Aided by PI-Inspired Inertial Priors

Stochastic High Fidelity Simulation and Scenarios for Testing of Fixed Wing Autonomous GNSS-Denied Navigation Algorithms.

Long-Distance GNSS-Denied Visual Inertial Navigation for Autonomous Fixed-Wing Unmanned Air Vehicles: SO(3) Manifold Filter Based on Virtual Vision Sensor


Large Eddy Simulator for Study of Urban Boundary-Layer Flows

Domain-Specific Acceleration and Auto-Parallelization of Legacy Scientific Code in FORTRAN 77 using Source-to-Source Compilation

Towards Automatic Transformation of Legacy Scientific Code into OpenCL for Optimal Performance on FPGAs


For CVPR2022 Submission

Manifold Mixup: Better Representations by Interpolating Hidden States

Charting the Right Manifold: Manifold Mixup for Few-shot Learning

Leveraging the Feature Distribution in Transfer-based Few-Shot Learning

EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning


The official implementation of PRSA-Net

BMN: Boundary-Matching Network for Temporal Action Proposal Generation

G-TAD: Sub-Graph Localization for Temporal Action Detection

Pyramid Region-based Slot Attention Network for Temporal Action Proposal Generation


Synthetic Grid Creation for MATPOWER

Generating Statistically Correct Random Topologies for Testing Smart Grid Communication and Control Networks

On Bus Type Assignments in Random Topology Power Grid Models

Improved Synthetic Power Grid Modeling With Correlated Bus Type Assignments

A Mathematical Programming Solution for Automatic Generation of Synthetic Power Flow Cases

On the Scaling Property of Power Grids

Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences

A Novel Algorithm for Statistical Assignment of Transmission Capacities in Synthetic Grid Modeling

Power and Energy Society General Meeting

Statistically Analyzing Power System Network


The implementation for the paper "Adversarial Supervised Contrastive Learning"

Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks

On Adaptive Attacks to Adversarial Example Defenses

Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training

Understanding and Achieving Efficient Robustness with Adversarial Supervised Contrastive Learning


Complete analysis pipeline for PAR-CLIP data

ELAVL1 Primarily Couples mRNA Stability with the 3’UTRs of Interferon Stimulated Genes

Deciphering human ribonucleoprotein regulatory networks

A non-radioactive, improved PAR-CLIP and small RNA cDNA library preparation protocol

Global identification of functional microRNA::mRNA interactions in Drosophila

NONO enhances mRNA processing of super‐enhancer‐associated GATA2 and HAND2 genes in neuroblastoma

clipplotr - a comparative visualisation and analysis tool for CLIP data

Loss of Lamin A leads to the nuclear translocation of AGO2 and compromised RNA interference

Keratin 19 binds and regulates cytoplasmic HNRNPK mRNA targets in triple-negative breast cancer


YAGCloser: Yet-Another-Gap-Closer based on spanning of long reads.

Reference Genome Assembly of the Big Berry Manzanita (Arctostaphylos glauca)

A Draft Reference Genome Assembly of the Critically Endangered Black Abalone, Haliotis cracherodii

De novo assembly of a chromosome-level reference genome for the California Scrub-Jay, Aphelocoma californica

Reference genome for the American rubyspot damselfly, Hetaerina americana

A chromosome-level reference genome for the giant pink sea star, Pisaster brevispinus, a species severely impacted by wasting

A genome assembly for the southern Pacific rattlesnake, Crotalus oreganus helleri, in the western rattlesnake species complex

Reference Genome of the Black Surfperch, Embiotoca jacksoni (Embiotocidae, Perciformes), a California Kelp Forest Fish That Lacks a Pelagic Larval Stage

Whole-genome sequence and assembly of the Javan gibbon (Hylobates moloch)

Reference genome of the color polymorphic desert annual plant sandblossoms, Linanthus parryae

A genome assembly of the Yuma myotis bat, Myotis yumanensis


OpenAI Gym environments for Quadrotor UAV

Continuous control with deep reinforcement learning

Addressing Function Approximation Error in Actor-Critic Methods

Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics

Equivariant Reinforcement Learning for Quadrotor UAV


Winning SubNetwork (WSN), Fourier Subneural Operator (FSO), Video-Incremental Learning (VIL), Sequential Neural Implicit Representation (NIR)

NeRV: Neural Representations for Videos

Progressive Neural Representation for Sequential Video Compilation

Continual Learning: Forget-free Winning Subnetworks for Video Representations


SNP and indel calls from multiple sequence alignment (MSA)

Ultraconserved bacteriophage genome sequence identified in 1300-year-old human palaeofaeces

Dynamics of accessible chromatin regions and subgenome dominance in octoploid strawberry

Evaluation of Five Mammalian Models for Human Disease Research Using Genomic and Bioinformatic Approaches


Code for ACL 2022 findings paper "Gaussian Multi-head Attention for Simultaneous Machine Translation"

Wait-info Policy: Balancing Source and Target at Information Level for Simultaneous Machine Translation

Hidden Markov Transformer for Simultaneous Machine Translation


UniTE: Unified Translation Evaluation

Extrinsic Evaluation of Machine Translation Metrics

BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training

Breeding Machine Translations: Evolutionary approach to survive and thrive in the world of automated evaluation

CUNI at WMT23 General Translation Task: MT and a Genetic Algorithm

Proceedings of the Eighth Conference on Machine Translation


code for BINOCULARS and Multi-Step BO

Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees

BINOCULARS for Efficient, Nonmyopic Sequential Experimental Design

Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach


Paper: "Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices"

HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients

Expanding the Reach of Federated Learning by Reducing Client Resource Requirements

FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout

FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction


Eclipsing binary models

Four New Eclipsing Mid M-dwarf Systems from the New Luyten Two Tenths Catalog

Centroid vetting of transiting planet candidates from the Next Generation Transit Survey

Monthly Notices of the Royal Astronomical Society

Eclipsing Binaries in the Open Cluster Ruprecht 147. I. EPIC 219394517

The Quadruple-lined, Doubly Eclipsing System V482 Persei

Absolute Dimensions of the Eccentric Eclipsing Binary V541 Cygni

A Low-mass, Pre-main-sequence Eclipsing Binary in the 40 Myr Columba Association—Fundamental Stellar Parameters and Modeling the Effect of Star Spots

G 68-34: A Double-lined M-dwarf Eclipsing Binary in a Hierarchical Triple System

The complex dynamical past and future of double eclipsing binary CzeV343: Misaligned orbits and period resonance


ACL 2022: Revisiting the Compositional Generalization Abilities of Neural Sequence Models

Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks

Human few-shot learning of compositional instructions


Edge YOLO paper

YOLOv3: An Incremental Improvement

YOLOv4: Optimal Speed and Accuracy of Object Detection

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

Scaled-YOLOv4: Scaling Cross Stage Partial Network


An official implementation of CVPR 2022 paper "Label Matching Semi-Supervised Object Detection".

End-to-End Semi-Supervised Object Detection with Soft Teacher

A Simple Semi-Supervised Learning Framework for Object Detection

Unbiased Teacher for Semi-Supervised Object Detection


Atwell et al data

Fast and flexible linear mixed models for genome-wide genetics

Subset-based genomic prediction provides insights into the genetic architecture of free amino acid levels in dry Arabidopsis thaliana seeds

Combining Sparse Group Lasso and Linear Mixed Model Improves Power to Detect Genetic Variants Underlying Quantitative Traits

Bivariate genomic analysis identifies a hidden locus associated with bacteria hypersensitive response in Arabidopsis thaliana


S³FD: Single Shot Scale-invariant Face Detector, ICCV, 2017

S^3FD: Single Shot Scale-invariant Face Detector

Accurate Face Detection for High Performance

Continuous Trade-off Optimization between Fast and Accurate Deep Face Detectors

SecurePose: Automated Face Blurring and Human Movement Kinematics
  Extraction from Videos Recorded in Clinical Settings


Source code for the IJCNN2024 paper titled "Multi-Objective Optimization for Sparse Deep Multi-Task Learning"

Multi-Task Learning as Multi-Objective Optimization

End-to-End Multi-Task Learning with Attention

Knowledge Distillation for Multi-task Learning


Self-Tuning Optimized Kalman Filtering (STOK) + DyNet simulation + connectivity metrics

Modeling time-varying brain networks with a self-tuning optimized Kalman filter

Structure supports function: informing directed and dynamic functional connectivity with anatomical priors

Four concurrent feedforward and feedback networks with different roles in the visual cortical hierarchy


The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance

Dispersal patterns and influence of air travel during the global expansion of SARS-CoV-2 variants of concern

Early introductions and community transmission of SARS-CoV-2 variant B.1.1.7 in the United States

medRxiv : the preprint server for health sciences

Global Expansion of SARS-CoV-2 Variants of Concern: Dispersal Patterns and Influence of Air Travel

Implementation of Genomic Surveillance of SARS-CoV-2 in the Caribbean: Lessons Learned for Sustainability in Resource-Limited Settings

Unveiling the Impact of the Omicron Variant: Insights from Genomic Surveillance in Mato Grosso do Sul, Midwest Brazil

Early Detection of the Recombinant SARS-CoV-2 XAN Variant in Bulgaria: Initial Genomic Insights into Yet Another Piece of the Growing Puzzle of Recombinant Clades


Threat hunting in social media

Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Recurrent Neural Network

Automatic Labeling for Entity Extraction in Cyber Security

Towards a relation extraction framework for cyber-security concepts

Proceedings of the 10th Annual Cyber and Information Security Research Conference


Peak calling for 4C data

WAPL maintains a cohesin loading cycle to preserve cell-type-specific distal gene regulation

Integration of human pancreatic islet genomic data refines regulatory mechanisms at Type 2 Diabetes susceptibility loci

peakC: a flexible, non-parametric peak calling package for 4C and Capture-C data

Benchmarking of 4C-seq pipelines based on real and simulated data


R functions and datasets related to the mapping of text to the United Nations 17 Sustainable Development Goals (SDGs).


Contour binning code

Deep Chandra observations of merging galaxy cluster ZwCl 2341+0000

Locating the CSM Emission within the Type Ia Supernova Remnant N103B

Constraints on thermal conductivity in the merging cluster Abell 2146

Monthly notices of the Royal Astronomical Society


Neural network loss functions for regression and classification tasks that can say "I don't know".

Combating Label Noise in Deep Learning Using Abstention

Controlled Abstention Neural Networks for Identifying Skillful Predictions for Regression Problems

Controlled Abstention Neural Networks for Identifying Skillful Predictions for Classification Problems


F4 algorithm C++ library (groebner basis computations over finite fields)

Rings: an efficient Java/Scala library for polynomial rings

Groebner.jl: A package for Gröbner bases computations in Julia


A challenge to investigate the security of the InstaHide protocol.

InstaHide: Instance-hiding Schemes for Private Distributed Learning

An Attack on InstaHide: Is Private Learning Possible with Instance Encoding?


DJL Equation Solver

Stratification effects on shoaling internal solitary waves

Observations of Breaking Internal Tides on the Australian North West Shelf Edge

Strongly Nonlinear Effects on Determining Internal Solitary Wave Parameters From Surface Signatures With Potential for Remote Sensing Applications


Semi-Supervised Variational Reasoning for Medical Dialogue Generation

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

Distinct but correct: generating diversified and entity-revised medical response

BP4ER: Bootstrap Prompting for Explicit Reasoning in Medical Dialogue
  Generation


All scripts used for the analysis of the twilight of the pan-genome, and scripts available for others to apply similar analysis

Phylogroup-specific variation shapes the clustering of antimicrobial resistance genes and defence systems across regions of genome plasticity in Pseudomonas aeruginosa

Vibrio cholerae O139 genomes provide a clue to why it may have failed to usher in the eighth cholera pandemic

Genomic analysis unveils genome degradation events and gene flux in the emergence and persistence of S. Paratyphi A lineages


OVAL framework for BaB-based Neural Network Verification

The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

A DPLL(T) Framework for Verifying Deep Neural Networks

Harnessing Neuron Stability to Improve DNN Verification