Bayesian optimization in PyTorch

Stochastic Gradient VB and the Variational Auto-Encoder

BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization

Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization

Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement

Pareto Set Learning for Expensive Multi-Objective Optimization

BINOCULARS for Efficient, Nonmyopic Sequential Experimental Design

Warm Starting CMA-ES for Hyperparameter Optimization

Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization

Robust Multi-Objective Bayesian Optimization Under Input Noise

Conditioning Sparse Variational Gaussian Processes for Online Decision-making


A small, fast, JavaScript-based JavaScript parser

DeepBugs: A Learning Approach to Name-based Bug Detection

SCELMo: Source Code Embeddings from Language Models

Test generation for higher-order functions in dynamic languages

Proceedings of the ACM on Programming Languages

Geno: A Developer Tool for Authoring Multimodal Interaction on Existing Web Applications

You Can Run But You Can't Hide: Runtime Protection Against Malicious Package Updates For Node.js

Supporting the Detection of Software Supply Chain Attacks through Unsupervised Signature Generation

If You've Seen One, You've Seen Them All: Leveraging AST Clustering Using MCL to Mimic Expertise to Detect Software Supply Chain Attacks.

Spinner: Automated Dynamic Command Subsystem Perturbation


Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor

Theano: A Python framework for fast computation of mathematical expressions

Theano: new features and speed improvements

Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

IEEE Communications Surveys and Tutorials

On Deep Learning-Based Channel Decoding

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

Abstractive Document Summarization with a Graph-Based Attentional Neural Model

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 1

Online and Linear-Time Attention by Enforcing Monotonic Alignments

Modeling Multi-turn Conversation with Deep Utterance Aggregation

Multiscale sequential convolutional neural networks for simultaneous detection of fovea and optic disc

Biomedical Signal Processing and Control

Deep learning in electron microscopy

Machine Learning: Science and Technology


TensorFlow documentation

Virus Detection and Identification in Minutes Using Single-Particle Imaging and Deep Learning

An Investigation of Few-Shot Learning in Spoken Term Classification

Segment boundary detection directed attention for online end-to-end speech recognition

EURASIP Journal on Audio, Speech, and Music Processing

NITS-Hinglish-SentiMix at SemEval-2020 Task 9: Sentiment Analysis For Code-Mixed Social Media Text Using an Ensemble Model

An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors

Image Classification for the Automatic Feature Extraction in Human Worn Fashion Data

Widen the Applicability of a Convolutional Neural-Network-Assisted Glaucoma Detection Algorithm of Limited Training Images across Different Datasets

Dealing with Adversarial Player Strategies in the Neural Network Game iNNk through Ensemble Learning

The 16th International Conference on the Foundations of Digital Games (FDG) 2021

Sampling type method combined with deep learning for inverse scattering with one incident wave

Enhancing Energy-Awareness in Deep Learning through Fine-Grained Energy Measurement


OpenStack Compute (Nova). Mirror of code maintained at opendev.org.

How bugs are born: a model to identify how bugs are introduced in software components

Understanding code snippets in code reviews

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

Potential Technical Debt and Its Resolution in Code Reviews: An Exploratory Study of the OpenStack and Qt Communities


OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)

OBA: An Ontology-Based Framework for Creating REST APIs for Knowledge Graphs

How do developers deal with security issue reports on GitHub?

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

Frost: A Platform for Benchmarking and Exploring Data Matching Results


MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

MIMIC-III, a freely accessible critical care database

Prognostic accuracy of the serum lactate level, the SOFA score and the qSOFA score for mortality among adults with Sepsis

Scandinavian journal of trauma, resuscitation and emergency medicine

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning

PPGAN: Privacy-preserving Generative Adversarial Network

International Conference on Parallel and Distributed Systems

Association between elevated central venous pressure and outcomes in critically ill patients

Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications

Red blood cell distribution width predicts long-term mortality in critically ill patients with acute kidney injury: a retrospective database study

Machine Learning Prediction Models for Mechanically Ventilated Patients: Analyses of the MIMIC-III Database

Healthsheet: Development of a Transparency Artifact for Health Datasets

Prognosis predictive value of the Oxford Acute Severity of Illness Score for sepsis: a retrospective cohort study


GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

Aligning Large Language Models with Human: A Survey

OLMo: Accelerating the Science of Language Models

Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions

Black Box Adversarial Prompting for Foundation Models

FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets

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

JudgeLM: Fine-tuned Large Language Models are Scalable Judges


Collection of Verification Tasks (MOVED, please follow the link)

CBMC: The C Bounded Model Checker

A Unifying View on SMT-Based Software Verification

Software Verification: 10th Comparative Evaluation (SV-COMP 2021)

Tools and Algorithms for Construction and Analysis of Systems

Advances in Automatic Software Verification: SV-COMP 2020

TOOLympics 2019: An Overview of Competitions in Formal Methods

Legion: Best-First Concolic Testing

International Conference on Automated Software Engineering

Quasi-Optimal Partial Order Reduction

MetaVal: Witness Validation via Verification

Status Report on Software Testing: Test-Comp 2021

Second Competition on Software Testing: Test-Comp 2020


historical code from reddit.com

The Web Centipede: Understanding How Web Communities Influence Each Other Through the Lens of Mainstream and Alternative News Sources

Quantifying social organization and political polarization in online platforms

Incremental Consistency Guarantees for Replicated Objects

Averaging Gone Wrong: Using Time-Aware Analyses to Better Understand Behavior

Studies of Depression and Anxiety Using Reddit as a Data Source: Scoping Review

A Reddit Dataset for the Russo-Ukrainian Conflict in 2022

Reddit and Radiation Therapy: A Descriptive Analysis of Posts and Comments Over 7 Years by Patients and Health Care Professionals

Style Matters! Investigating Linguistic Style in Online Communities

Controversial information spreads faster and further than non-controversial information in Reddit

Quantifying the Suicidal Tendency on Social Media: A Survey


ROCm Communication Collectives Library (RCCL)

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

IEEE Transactions on Parallel and Distributed Systems

Synthesizing optimal collective algorithms

ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming

MAPA: Multi-Accelerator Pattern Allocation Policy for Multi-Tenant GPU Servers

SC21: INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS

GC3: An Optimizing Compiler for GPU Collective Communication

T3: Transparent Tracking & Triggering for Fine-grained Overlap of
  Compute & Collectives

Efficient All-to-All Collective Communication Schedules for Direct-Connect Topologies


The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Generative Artificial Intelligence for Software Engineering - a Research Agenda

Data Interpreter: An LLM Agent For Data Science

An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

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

Experimenting a New Programming Practice with LLMs

All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era


oneAPI Threading Building Blocks (oneTBB)

Taskflow: A Lightweight Parallel and Heterogeneous Task Graph Computing System

Development of the CMS detector for the CERN LHC Run 3

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

International Workshop on Data Management on New Hardware

Bringing heterogeneity to the CMS software framework

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

Data Oblivious Algorithms for Multicores

Nonparametric Continuous Sensor Registration

Extension of the INFN Tier-1 on a HPC system

Portability: A Necessary Approach for Future Scientific Software

Adaptive Continuous Visual Odometry from RGB-D Images


Linux kernel source tree

Holistic Evaluation of Language Models

CacheOut: Leaking Data on Intel CPUs via Cache Evictions

Deep Learning for Source Code Modeling and Generation: Models, Applications, and Challenges

V0LTpwn: Attacking x86 Processor Integrity from Software

Foundation Models and Fair Use

An experience report on applying software testing academic results in industry: we need usable automated test generation

PROCEEDINGS 2018 IEEE/ACM 40TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE)

Enabling rootless Linux Containers in multi-user environments: the udocker tool

Influence analysis of Github repositories

A Comprehensive Feature Comparison Study of Open-Source Container Orchestration Frameworks

Explainable Software Bot Contributions: Case Study of Automated Bug Fixes

International Workshop on Bots in Software Engineering


Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

Darts: User-Friendly Modern Machine Learning for Time Series

Merlion: A Machine Learning Library for Time Series

MOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly Detection

A Survey of Time Series Foundation Models: Generalizing Time Series
  Representation with Large Language Model


Context aware, pluggable and customizable data protection and de-identification SDK for text and images

Analyzing Leakage of Personally Identifiable Information in Language Models

Anonymisation Models for Text Data: State of the art, Challenges and Future Directions

Meeting of the Association for Computational Linguistics

The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text Anonymization

FairCLIP: Harnessing Fairness in Vision-Language Learning

Hero: On the Chaos When PATH Meets Modules

Text Sanitization Beyond Specific Domains: Zero-Shot Redaction & Substitution with Large Language Models

Large Language Models are Advanced Anonymizers


Optax is a gradient processing and optimization library for JAX.

Robust fine-tuning of zero-shot models

AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

Symbolic Discovery of Optimization Algorithms

Ranger21: a synergistic deep learning optimizer

What Matters for Adversarial Imitation Learning?

General-purpose, long-context autoregressive modeling with Perceiver AR

Learning Optimal Conformal Classifiers

JAX-FLUIDS: A fully-differentiable high-order computational fluid dynamics solver for compressible two-phase flows

Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs

On the Sample Complexity of Stability Constrained Imitation Learning


:vertical_traffic_light: An extensible linter for the TypeScript language

A Benchmark of JSON-compatible Binary Serialization Specifications

Jiskefet, a bookkeeping application for ALICE

Benchmarking JSON BinPack


Machine Learning in R

ASlib: A Benchmark Library for Algorithm Selection

mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions

A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers

OpenML: An R Package to Connect to the Machine Learning Platform OpenML

Economics of open tibial fractures: the pivotal role of length-of-stay and infection

Multilabel Classification with R Package mlr

Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms

A Comprehensive and Didactic Review on Multilabel Learning Software Tools

Benchmarking time series classification -- Functional data vs machine learning approaches

High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions


Sui, a next-generation smart contract platform with high throughput, low latency, and an asset-oriented programming model powered by the Move programming language

Shoal: Improving DAG-BFT Latency And Robustness

Sui Lutris: A Blockchain Combining Broadcast and Consensus

Mysticeti: Low-Latency DAG Consensus with Fast Commit Path

HammerHead: Leader Reputation for Dynamic Scheduling

Mitigation of liveness attacks in DAG-based ledgers

Fairness Notions in DAG-based DLTs

Pilotfish: Distributed Transaction Execution for Lazy Blockchains

Teaching Machines to Code: Smart Contract Translation with LLMs

Order but Not Execute in Order


Network Analysis in Python

Identification of the core bacteria in rectums of diarrheic and non-diarrheic piglets

Efficacy of β-lactam/β-lactamase inhibitor combination is linked to WhiB4-mediated changes in redox physiology of Mycobacterium tuberculosis

DisCoPy: Monoidal Categories in Python

QAOA-in-QAOA: Solving Large-Scale MaxCut Problems on Small Quantum Machines

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

Model Inversion Attacks Against Graph Neural Networks

Automated geological map deconstruction for 3D model construction using map2loop 1.0 and map2model 1.0

Deep Learning in Single-Cell Analysis

GUIDES - Geospatial Urban Infrastructure Data Engineering Solutions

Decentralized personalized federated learning: Lower bounds and optimal algorithm for all personalization modes


R toolkit for single cell genomics

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

Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors

Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain

Single-Cell RNA-Seq Technologies and Related Computational Data Analysis

Critical Role of Type III Interferon in Controlling SARS-CoV-2 Infection in Human Intestinal Epithelial Cells

Single-Cell Sequencing of Peripheral Mononuclear Cells Reveals Distinct Immune Response Landscapes of COVID-19 and Influenza Patients

Impaired local intrinsic immunity to SARS-CoV-2 infection in severe COVID-19

Microenvironment drives cell state, plasticity, and drug response in pancreatic cancer

Endothelial heterogeneity across distinct vascular beds during homeostasis and inflammation

Characterization of the development of the mouse cochlear epithelium at the single cell level


Documentation for the General Bikeshare Feed Specification, a standardized data feed for shared mobility system availability.     Maintained by MobilityData

Bike sharing usage prediction with deep learning: a survey

Real-Time Forecasting of Dockless Scooter-Sharing Demand: A Spatio-Temporal Multi-Graph Transformer Approach

Abstracting mobility flows from bike-sharing systems

Micromobility Trip Origin and Destination Inference Using General
  Bikeshare Feed Specification (GBFS) Data

Participatory Infrastructures: The Politics of Mobility Platforms

SAFEBIKE: A Bike-sharing Route Recommender with Availability Prediction and Safe Routing

On the Data Fight Between Cities and Mobility Providers

Are footpaths encroached by shared e-scooters? Spatio-temporal Analysis of Micro-mobility Services


LIEF - Library to Instrument Executable Formats (C++, Python, Rust)

MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers

FirmwareDroid: Security Analysis of the Android Firmware EcoSystem


Manipulation and analysis of geometric objects

The Open Global Glacier Model (OGGM) v1.1

A 30 m Resolution Surface Water Mask Including Estimation of Positional and Thematic Differences Using Landsat 8, SRTM and OpenStreetMap: A Case Study in the Murray-Darling Basin, Australia

A Cloud-Based Environment for Generating Yield Estimation Maps From Apple Orchards Using UAV Imagery and a Deep Learning Technique

COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle Using Deep Reinforcement Learning

Is Saki #delicious? The Food Perception Gap on Instagram and Its Relation to Health

DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search

Diversifying Databases of Metal Organic Frameworks for High-Throughput Computational Screening

High-resolution Slide-seqV2 spatial transcriptomics enables discovery of disease-specific cell neighborhoods and pathways

Gerrymandering and Compactness: Implementation Flexibility and Abuse

Supervised Classification of Built-Up Areas in Sub-Saharan African Cities Using Landsat Imagery and OpenStreetMap

Zenodo (CERN European Organization for Nuclear Research)


Graph theory (network) library for visualisation and analysis

The ConsensusPathDB interaction database: 2013 update

Cytoscape.js: a graph theory library for visualisation and analysis

Open source libraries and frameworks for biological data visualisation: A guide for developers

Cytoscape.js 2023 update: a graph theory library for visualization and analysis

Nicotiana attenuata Data Hub (NaDH): an integrative platform for exploring genomic, transcriptomic and metabolomic data in wild tobacco

Four drug metabolism-related subgroups of pancreatic adenocarcinoma in prognosis, immune infiltration, and gene mutation


Tensors and Dynamic neural networks in Python with strong GPU acceleration

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

Decoupled Weight Decay Regularization

Automatic differentiation in PyTorch

Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Spectral Normalization for Generative Adversarial Networks

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

SMASH: One-Shot Model Architecture Search through HyperNetworks

Explainable Prediction of Medical Codes from Clinical Text

Quicksilver: Fast predictive image registration – A deep learning approach

LOGAN: Membership Inference Attacks Against Generative Models


Paparazzi is a free and open-source hardware and software project for unmanned (air) vehicles. This is the main software repository.

Neuromorphic control for optic-flow-based landing of MAVs using the Loihi processor

Evolved Neuromorphic Control for High Speed Divergence-Based Landings of MAVs

International Conference on Robotics and Automation

An Overview of the Drone Open-Source Ecosystem

Collaborative target-tracking control using multiple autonomous fixed-wing UAVs with constant speeds : Theory and experiments

Understanding Bounding Functions in Safety-Critical UAV Software


the LIBpcap interface to various kernel packet capture mechanism

Early Detection of Network Attacks Using Deep Learning

A dataset of full-stack ITS-G5 DSRC communications over licensed and unlicensed bands using a large-scale urban testbed

Linux Goes Apple Picking: Cross-Platform Ad hoc Communication with Apple Wireless Direct Link

Prompt Fuzzing for Fuzz Driver Generation

A Control Plane Enabling Automated and Fully Adaptive Network Traffic Monitoring With eBPF


OpenMM is a toolkit for molecular simulation using high performance GPU code.

Highly accurate protein structure prediction for the human proteome

OpenMM 7: Rapid development of high performance algorithms for molecular dynamics

OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials

Enhancing Sampling of Water Rehydration on Ligand Binding: A Comparison of Techniques

Adaptive Ensemble Biomolecular Applications at Scale

Path probability ratios for Langevin dynamics—Exact and approximate

Structural basis of antibody inhibition and chemokine activation of the human CC chemokine receptor 8


Core repository for Sawtooth Distributed Ledger

Blockchain Consensus Protocols in the Wild

Blockchain and Trusted Computing: Problems, Pitfalls, and a Solution for Hyperledger Fabric

The Gap Game

SYSTOR'18: PROCEEDINGS OF THE 11TH ACM INTERNATIONAL SYSTEMS AND STORAGE CONFERENCE

Distributed service‐level agreement management with smart contracts and blockchain

Concurrency and Computation: Practice and Experience

Blockchain for Healthcare: Securing Patient Data and Enabling Trusted Artificial Intelligence

International Journal of Interactive Multimedia and Artificial Intelligence

Assessing Security and Performances of Consensus algorithms for Permissioned Blockchains

Privacy Preservation of User Identity in Contact Tracing for COVID-19-Like Pandemics Using Edge Computing

Chaos Engineering For Understanding Consensus Algorithms Performance in Permissioned Blockchains

Evaluating Permissioned Blockchain Using Stochastic Modeling and Chaos Engineering

Research Perspectives and Challenges of Blockchain for Data-Intensive and Resource-Constrained Devices


Algorand's official implementation in Go.

A Study of MEV Extraction Techniques on a First-Come-First-Served Blockchain

Practical Low Latency Proof of Work Consensus

Multilayer Environment and Toolchain for Holistic NetwOrk Design and Analysis

Playing the MEV Game on a First-Come-First-Served Blockchain


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

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

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

OCR-free Document Understanding Transformer

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


Best Practices on Recommendation Systems

Neural Collaborative Filtering

Stochastic Gradient VB and the Variational Auto-Encoder

Wide & Deep Learning for Recommender Systems

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Session-based Recommendations with Recurrent Neural Networks

Self-Attentive Sequential Recommendation

Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding

Variational Autoencoders for Collaborative Filtering

DKN: Deep Knowledge-Aware Network for News Recommendation

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems


Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

Attention-based LSTM for Aspect-level Sentiment Classification

Empirical Methods in Natural Language Processing

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

TabNet: Attentive Interpretable Tabular Learning

Stock Price Prediction via Discovering Multi-Frequency Trading Patterns

AdaRNN: Adaptive Learning and Forecasting of Time Series

Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport

Qlib: An AI-oriented Quantitative Investment Platform

DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation

HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information

MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization

Proceedings of the 31st ACM International Conference on Information & Knowledge Management


Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

Trustworthy AI: From Principles to Practices

Adversarial Robustness Toolbox v1.0.0

Membership Leakage in Label-Only Exposures

Optimization problems for machine learning: A survey

European Journal of Operational Research

Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX

Privacy-Preserving Machine Learning: Methods, Challenges and Directions

Reveal of Vision Transformers Robustness against Adversarial Attacks

Adversarial Examples - A Complete Characterisation of the Phenomenon

Vulnerability of deep neural networks for detecting COVID-19 cases from chest X-ray images to universal adversarial attacks


Bitcoin Core integration/staging tree

Majority is not Enough: Bitcoin Mining is Vulnerable

Bitcoin-NG: A Scalable Blockchain Protocol

Deanonymisation of clients in Bitcoin P2P network

The Miner's Dilemma

Security Services Using Blockchains: A State of the Art Survey

IEEE Communications Surveys and Tutorials

Decentralization in Bitcoin and Ethereum Networks

Decentralized Applications: The Blockchain-Empowered Software System

Comparison of blockchain platforms: a systematic review and healthcare examples

Journal of the American Medical Informatics Association : JAMIA

On Subversive Miner Strategies and Block Withholding Attack in Bitcoin Digital Currency

Scaling Nakamoto Consensus to Thousands of Transactions per Second


A YAML parser and emitter in C++

Integral reduction with Kira 2.0 and finite field methods

GAMBIT: the global and modular beyond-the-standard-model inference tool

Kira 1.2 Release Notes

HEJ 2: High energy resummation for hadron colliders

The analytic leading color contribution to the Higgs-gluon form factor in QCD at NNLO

Analysis of Include Dependencies in C++ Source Code

Federated Conference on Computer Science and Information Systems

Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control

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

fastSF: A parallel code for computing the structure functions of turbulence


Soot - A Java optimization framework

Graph Backdoor

StoryDroid: Automated Generation of Storyboard for Android Apps

A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices

IEEE Transactions on Information Forensics and Security

ATVHunter: Reliable Version Detection of Third-Party Libraries for Vulnerability Identification in Android Applications

Graph Neural Network to Dilute Outliers for Refactoring Monolith Application

Research on Third-Party Libraries in Android Apps: A Taxonomy and Systematic Literature Review

deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search

funcGNN: A Graph Neural Network Approach to Program Similarity

Proceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)

FrUITeR: A Framework for Evaluating UI Test Reuse

Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network


PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

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

A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection

Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy

nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data

PP-YOLOE: An evolved version of YOLO

The Deep Learning Compiler: A Comprehensive Survey

IEEE Transactions on Parallel and Distributed Systems

Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity

DeepTransport: Learning Spatial-Temporal Dependency for Traffic Condition Forecasting

ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation

Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems


Apache Flink

A comprehensive study of bloated dependencies in the Maven ecosystem

Quantitative Impact Evaluation of an Abstraction Layer for Data Stream Processing Systems

International Conference on Distributed Computing Systems

AUGER: Automatically Generating Review Comments with Pre-training Models

A comprehensive study of pseudo-tested methods

API beauty is in the eye of the clients: 2.2 million Maven dependencies reveal the spectrum of client–API usages

Flink-ER: An Elastic Resource-Scheduling Strategy for Processing Fluctuating Mobile Stream Data on Flink

Inline Tests

Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads

How are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective

Distributed graphs: in search of fast, low-latency, resource-efficient, semantics-rich Big-Data processing.


Optional static typing for Python

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

Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims

Static inference meets deep learning

Proceedings of the 44th International Conference on Software Engineering

Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors

PyLabRobot: An open-source, hardware-agnostic interface for liquid-handling robots and accessories

bioRxiv : the preprint server for biology

Generative Type Inference for Python

cmaes : A Simple yet Practical Python Library for CMA-ES

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

EagerPy: Writing Code That Works Natively with PyTorch, TensorFlow, JAX, and NumPy

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


Spring Boot

RefDiff: Detecting Refactorings in Version Histories

Learning Semantic Program Embeddings with Graph Interval Neural Network

What Makes a Good Commit Message?

Towards a catalog of composite refactorings

On the Distribution of "Simple Stupid Bugs" in Unit Test Files: An Exploratory Study

Verifying Semantic Conflict-Freedom in Three-Way Program Merges

A Novel Refactoring and Semantic Aware Abstract Syntax Tree Differencing
  Tool and a Benchmark for Evaluating the Accuracy of Diff Tools


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

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

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

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

Bayesian Optimization for Macro Placement

Encoder-Decoder Networks for Analyzing Thermal and Power Delivery Networks

IR-Aware ECO Timing Optimization Using Reinforcement Learning


Generic programming for Scala

System FR: formalized foundations for the stainless verifier

Proceedings of the ACM on Programming Languages

Typesafe abstractions for tensor operations (short paper)

Scala implicits are everywhere: a large-scale study of the use of Scala implicits in the wild


VOLTTRON Distributed Control System Platform


AWS SDK for Python

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

Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere

A Cloud-Based Data Storage and Visualization Tool for Smart City IoT: Flood Warning as an Example Application

Static Analysis for AWS Best Practices in Python Code

The ATLAS EventIndex

The spatial allocation of attention in an interactive environment

Cognitive research: principles and implications

Development of a High Throughput Cloud-Based Data Pipeline for 21 cm Cosmology

Now or never: noticing occurs early in sustained inattentional blindness

Why E.T. Can't Phone Home: A Global View on IP-based Geoblocking at
  VoWiFi


A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Playing Atari with Deep Reinforcement Learning

Asynchronous Methods for Deep Reinforcement Learning

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Addressing Function Approximation Error in Actor-Critic Methods

Conservative Q-Learning for Offline Reinforcement Learning

Decision Transformer: Reinforcement Learning via Sequence Modeling

Habitat: A Platform for Embodied AI Research

Dream to Control: Learning Behaviors by Latent Imagination


A Java serialization/deserialization library to convert Java Objects into JSON and back

IoFClime: The fuzzy logic and the Internet of Things to control indoor temperature regarding the outdoor ambient conditions

Recommending API Function Calls and Code Snippets to Support Software Development

ChatUniTest: A Framework for LLM-Based Test Generation

Mining API Usage Scenarios from Stack Overflow

Understanding How and Why Developers Seek and Analyze API-Related Opinions

Extracting Concise Bug-Fixing Patches from Human-Written Patches in Version Control Systems

Unit Test Case Generation with Transformers and Focal Context

Open-source smartphone app and tools for measuring, quantifying, and visualizing technology use

A comprehensive study of pseudo-tested methods

A3Test: Assertion-Augmented Automated Test Case Generation


Magenta: Music and Art Generation with Machine Intelligence

A Learned Representation For Artistic Style

Neural Style Transfer: A Review

MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation

GANSynth: Adversarial Neural Audio Synthesis

Exploring the structure of a real-time, arbitrary neural artistic stylization network

Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control

A Learned Representation for Scalable Vector Graphics

A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions

PopMAG: Pop Music Accompaniment Generation

Encoding Musical Style with Transformer Autoencoders


The core OCaml system: compilers, runtime system, base libraries

Retrofitting effect handlers onto OCaml

Programming Language Design and Implementation

Owl: A General-Purpose Numerical Library in OCaml

Merlin: A Language Server for OCaml (Experience Report)

Un mécanisme de preuve par réflexion pour Why3 et son application aux algorithmes de GMP

Mopsa-C: Modular Domains and Relational Abstract Interpretation for C Programs (Competition Contribution)

Tools and Algorithms for the Construction and Analysis of Systems

Polymorphic Type Inference for Dynamic Languages

Proceedings of the ACM on programming languages

A Direct-Style Effect Notation for Sequential and Parallel Programs

Extending OCaml's 'open'

Duplo: a framework for OCaml post-link optimisation

Revisiting Language Support for Generic Programming: When Genericity Is a Core Design Goal


Google's Operations Research tools:

Attention, Learn to Solve Routing Problems!

Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning

International Journal of Production Research

Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood

Learning variable ordering heuristics for solving Constraint Satisfaction Problems

A Constraint Programming Approach to Simultaneous Task Allocation and Motion Scheduling for Industrial Dual-Arm Manipulation Tasks

Neural Decipherment via Minimum-Cost Flow: from Ugaritic to Linear B

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization

On the Impact of Open Parcel Lockers on Traffic

Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX

Keeping Less is More: Point Sparsification for Visual SLAM


Tensor library for machine learning

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

MiniCPM-V: A GPT-4V Level MLLM on Your Phone

CroissantLLM: A Truly Bilingual French-English Language Model

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

Isolating Compiler Bugs by Generating Effective Witness Programs with Large Language Models

Using Large Language Models to Accelerate Communication for Users with Severe Motor Impairments

Institutional Platform for Secure Self-Service Large Language Model
  Exploration

From Text to Insight: Large Language Models for Materials Science Data Extraction

Revolutionizing Mobile Interaction: Enabling a 3 Billion Parameter GPT LLM on Mobile

Real-Time Multimodal Cognitive Assistant for Emergency Medical Services


Data intensive science for everyone.

The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2020 update

ReGaTE: Registration of Galaxy Tools in Elixir

Cloud bursting galaxy: federated identity and access management

Integration of EGA secure data access into Galaxy

OmicsSuite: a customized and pipelined suite for analysis and visualization of multi-omics big data

Expanding the Galaxy’s reference data


OpenZeppelin Contracts is a library for secure smart contract development.

A Survey on Ethereum Systems Security: Vulnerabilities, Attacks, and Defenses

solc-verify: A Modular Verifier for Solidity Smart Contracts

Verified Software: Theories, Tools, Experiments

Vyper: A Security Comparison with Solidity Based on Common Vulnerabilities

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

A Security Case Study for Blockchain Games

Why Do Smart Contracts Self-Destruct? Investigating the Selfdestruct Function on Ethereum

Integrating the IoT and Blockchain Technology for the Next Generation of Mining Inspection Systems

Blockchain Vulnerabilities in Practice

An empirical analysis of source code metrics and smart contract resource consumption

Journal of Software: Evolution and Process

Energy Trading on a Peer-to-Peer Basis between Virtual Power Plants Using Decentralized Finance Instruments


GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.

Unified Multi-Modal Landmark Tracking for Tightly Coupled Lidar-Visual-Inertial Odometry

International Conference on Robotics and Automation

Outlier-Robust Estimation: Hardness, Minimally Tuned Algorithms, and Applications

Large-Scale LiDAR Consistent Mapping Using Hierarchical LiDAR Bundle Adjustment

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

Globally Consistent 3D LiDAR Mapping With GPU-Accelerated GICP Matching Cost Factors

On-Orbit Inspection of an Unknown, Tumbling Target using NASA’s Astrobee Robotic Free-Flyers

The Complex-Step Derivative Approximation on Matrix Lie Groups

Under the Sand: Navigation and Localization of a Micro Aerial Vehicle for Landmine Detection with Ground-Penetrating Synthetic Aperture Radar

Locally Optimal Estimation and Control of Cable Driven Parallel Robots using Time Varying Linear Quadratic Gaussian Control

Robust Incremental Smoothing and Mapping (riSAM)


ESMValTool: A community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP

Climate model projections from the Scenario Model Intercomparison Project (ScenarioMIP) of CMIP6

Quantifying Progress Across Different CMIP Phases With the ESMValTool

Journal of Geophysical Research: Atmospheres

Observationally-constrained projections of an ice-free Arctic even under a low emission scenario

Beyond ecosystem modeling: A roadmap to community cyberinfrastructure for ecological data‐model integration

Detecting Extreme Temperature Events Using Gaussian Mixture Models

ERA5 and ERA-Interim Data Processing for the GlobWat Global Hydrological Model


Empowering everyone to build reliable and efficient software.

Leveraging Rust Types for Modular Specification and Verification

Stacked borrows: an aliasing model for Rust

How do programmers use unsafe rust?

We don't need another hero?

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

KRust: A Formal Executable Semantics of Rust

Rusty Variation: Deadlock-free Sessions with Failure in Rust

Who is Debugging the Debuggers? Exposing Debug Information Bugs in Optimized Binaries

Präzi: from package-based to call-based dependency networks

Constructing Hybrid Incremental Compilers for Cross-Module Extensibility with an Internal Build System

The Art, Science, and Engineering of Programming


Fast and Simple Serverless Functions for Kubernetes

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

Serverless computing in omics data analysis and integration

Performance Evaluation of Serverless Edge Computing for Machine Learning Applications

Efficiency in the serverless cloud paradigm: A survey on the reusing and approximation aspects

Towards Serverless Optimization with In-place Scaling


cuML - RAPIDS Machine Learning Library

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

A Tensor Compiler for Unified Machine Learning Prediction Serving

Bringing UMAP Closer to the Speed of Light with GPU Acceleration

Model Integration in Computational Biology: The Role of Reproducibility, Credibility and Utility

MisConv: Convolutional Neural Networks for Missing Data

Deep learning for quality control of surface physiographic fields using satellite Earth observations

Landscape of High-Performance Python to Develop Data Science and Machine Learning Applications

GPU Semiring Primitives for Sparse Neighborhood Methods

Accelerating Genetic Programming using GPUs

Cholla-MHD: An Exascale-capable Magnetohydrodynamic Extension to the Cholla Astrophysical Simulation Code


Simple MPL-2.0-licensed C++ geometry processing library.

ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups

Dual Graded Lattice Structures: Generation Framework and Mechanical Properties Characterization

Taichi: An Open-Source Computer Graphics Library

Easy3D: a lightweight, easy-to-use, and efficient C++ library for processing and rendering 3D data

An End-to-End Geometric Deficiency Elimination Algorithm for 3D Meshes


Apache Lucene open-source search software

BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity
  Text Embeddings Through Self-Knowledge Distillation

Automatic Detection of COVID-19 Vaccine Misinformation with Graph Link Prediction

VaccineLies: A Natural Language Resource for Learning to Recognize Misinformation about the COVID-19 and HPV Vaccines

Vector Search with OpenAI Embeddings: Lucene Is All You Need

BugPre: an intelligent software version-to-version bug prediction system using graph convolutional neural networks

ARIST: An Effective API Argument Recommendation Approach

CoSwID, a Code Switching Identification Method Suitable for Under-Resourced Languages

HAL (Le Centre pour la Communication Scientifique Directe)


Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

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

Highly accurate protein structure prediction with AlphaFold

Advances and Open Problems in Federated Learning

ColabFold - Making protein folding accessible to all

PaLM: Scaling Language Modeling with Pathways

On the Opportunities and Risks of Foundation Models

Scaling Instruction-Finetuned Language Models

Flamingo: a Visual Language Model for Few-Shot Learning

Highly accurate protein structure prediction for the human proteome

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains


Promise based HTTP client for the browser and node.js

The significance of bug report elements

Cupid: Leveraging ChatGPT for More Accurate Duplicate Bug Report Detection

RAMANMETRIX: a delightful way to analyze Raman spectra

OncoThreads: Visualization of Large Scale Longitudinal Cancer Molecular Data

MPA_Pathway_Tool: User-Friendly, Automatic Assignment of Microbial Community Data on Metabolic Pathways

Mod2Dash: A Framework for Model-Driven Dashboards Generation

Proceedings of the ACM on human-computer interaction

Customer Relationship Management for Personalized Nutrition Service


Marshalling / communication library for drones.

Compatible Certificateless and Identity-Based Cryptosystems for Heterogeneous IoT

Viconmavlink: A software tool for indoor positioning using a motion capture system


The java implementation of Apache Dubbo. An RPC and microservice framework.

What Makes a Good Commit Message?

The significance of bug report elements

AUGER: Automatically Generating Review Comments with Pre-training Models

Automated Identification of On-hold Self-admitted Technical Debt

An In-depth Study of Java Deserialization Remote-Code Execution Exploits and Vulnerabilities

ACM Transactions on Software Engineering and Methodology

White-Box Fuzzing RPC-Based APIs with EvoMaster: An Industrial Case Study

On the Use of Mutation in Injecting Test Order-Dependency

TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networks

Towards a catalog of composite refactorings

A Novel Refactoring and Semantic Aware Abstract Syntax Tree Differencing
  Tool and a Benchmark for Evaluating the Accuracy of Diff Tools


Python library for loading and using triangular meshes.

ACRONYM: A Large-Scale Grasp Dataset Based on Simulation

DDGC: Generative Deep Dexterous Grasping in Clutter

3D generation on ImageNet

Multi-View Mesh Reconstruction with Neural Deferred Shading

Nonlinear Enhancement of Radiative Absorption by Black Carbon in Response to Particle Mixing Structure

Orienting Novel 3D Objects Using Self-Supervised Learning of Rotation Transforms

Correcting ray distortion in tomographic additive manufacturing

On-the-fly 3D metrology of volumetric additive manufacturing

Achieving Minimal Heat Conductivity by Ballistic Confinement in Phononic Metalattices

Excavation Learning for Rigid Objects in Clutter


AI Toolkit for Healthcare Imaging

UNETR: Transformers for 3D Medical Image Segmentation

MONAI: An open-source framework for deep learning in healthcare

End-to-end privacy preserving deep learning on multi-institutional medical imaging

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

Label-Free Segmentation of COVID-19 Lesions in Lung CT

Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation

UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation

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

Fetal Brain Tissue Annotation and Segmentation Challenge Results

Warm Start Active Learning with Proxy Labels and Selection via Semi-supervised Fine-Tuning


Nix Packages collection & NixOS

Explainable Software Bot Contributions: Case Study of Automated Bug Fixes

International Workshop on Bots in Software Engineering

Unifying package managers, workflow engines, and containers: Computational reproducibility with BioNix

Backports: Change Types, Challenges and Strategies

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

Self-Scaling Clusters and Reproducible Containers to Enable Scientific Computing

Software packaging and distribution for LHCb using Nix

A Quantitative Study of Security Bug Fixes of GitHub Repositories


OpenTitan: Open source silicon root of trust

X-HEEP: An Open-Source, Configurable and Extendible RISC-V Microcontroller for the Exploration of Ultra-Low-Power Edge Accelerators

OpenSerDes: An Open Source Process-Portable All-Digital Serial Link


Operate and manipulate physical quantities in Python

Bifrost: a Python/C++ Framework for High-Throughput Stream Processing in Astronomy

ChemKED: A Human‐ and Machine‐Readable Data Standard for Chemical Kinetics Experiments

unyt: Handle, manipulate, and convert data with units in Python

ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics

Unit of measurement libraries, their popularity and suitability

Masked Measurement Prediction: Learning to Jointly Predict Quantities and Units from Textual Context

Unsupervised Evaluation of Code LLMs with Round-Trip Correctness

PyTeCK: a Python-based automatic testing package for chemical kinetic models

Proceedings of the Python in Science Conferences

OpenSCM Two Layer Model: A Python implementation of the two-layer climate model

From Text to Insight: Large Language Models for Materials Science Data Extraction


A framework for few-shot evaluation of language models.

Language Models are Few-Shot Learners

Holistic Evaluation of Language Models

Datasets: A Community Library for Natural Language Processing

GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

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

Instruction Tuning for Large Language Models: A Survey

LLM-Pruner: On the Structural Pruning of Large Language Models

Evaluating Large Language Models: A Comprehensive Survey

Chain of Hindsight Aligns Language Models with Feedback

Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions


Functions and classes to access online data resources. Maintainers: @keflavich and @bsipocz and @ceb8

DustPedia: Multiwavelength photometry and imagery of 875 nearby galaxies in 42 ultraviolet-microwave bands

The COS Absorption Survey of Baryon Harbors: The Galaxy Database and Cross-correlation Analysis of O vi Systems∗

The Astrophysical Journal Supplement Series

Applying Deep Neural Networks (DNN) for Measuring Photometric Redshifts from Galaxy Images: Preliminary Study

Gravitational-wave Electromagnetic Counterpart Korean Observatory (GECKO): GECKO Follow-up Observation of GW190425

Open Astronomy Catalogs API


TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.

Using Python for Model Inference in Deep Learning

TorchBench: Benchmarking PyTorch with High API Surface Coverage


Membership Inference Attacks against Machine Learning Models

Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning

Deep Depth Completion of a Single RGB-D Image

vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design

Analyzing complex single-molecule emission patterns with deep learning

Keystone: An Open Framework for Architecting TEEs

Privado: Practical and Secure DNN Inference with Enclaves

rnn : Recurrent Library for Torch

CONFLLVM: A Compiler for Enforcing Data Confidentiality in Low-Level Code

FusionStitching: Deep Fusion and Code Generation for Tensorflow Computations on GPUs


This is the repo for Vue 2. For Vue 3, go to https://github.com/vuejs/core

COMPARISON OF FRONT-END FRAMEWORKS FOR WEB APPLICATIONS DEVELOPMENT

A Large-Scale Study on Source Code Reviewer Recommendation

Software Engineering and Advanced Applications

Guide Picker is a comprehensive design tool for visualizing and selecting guides for CRISPR experiments

Are Game Engines Software Frameworks? A Three-perspective Study

Zenodo (CERN European Organization for Nuclear Research)

Cupid: Leveraging ChatGPT for More Accurate Duplicate Bug Report Detection

RNSum: A Large-Scale Dataset for Automatic Release Note Generation via Commit Logs Summarization

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Exploring Relevant Artifacts of Release Notes: The Practitioners' Perspective

VectorMap-GR: A local scale operational management tool for entomological monitoring, to support vector control activities in Greece and the Mediterranean Basin

Current research in parasitology & vector-borne diseases


Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.

Nonconforming Dirichlet boundary conditions in implicit material point method by means of penalty augmentation

Partitioned simulation strategies for fluid–structure–control interaction problems by Gauss–Seidel formulations

Advanced Modeling and Simulation in Engineering Sciences

A partitioned material point method and discrete element method coupling scheme

A Unified Arbitrary Lagrangian–Eulerian Model for Fluid–Structure Interaction Problems Involving Flows in Flexible Channels

Realization of a Framework for Simulation-Based Large-Scale Shape Optimization Using Vertex Morphing

Journal of Optimization Theory and Applications

Investigating the Vibration Mitigation Efficiency of Tuned Sloshing Dampers Using a Two-Fluid CFD Approach

Gradient-Free and Gradient-Based Optimization of a Radial Turbine

International Journal of Turbomachinery, Propulsion and Power

Enriched finite element approach for modeling discontinuous electric field in multi-material problems

A subspace‐adaptive weights cubature method with application to the local hyperreduction of parameterized finite element models


JavaScript API for Chrome and Firefox

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

Mind2Web: Towards a Generalist Agent for the Web

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

Who Filters the Filters: Understanding the Growth, Usefulness and Efficiency of Crowdsourced Ad Blocking

Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep Learning

Unsupervised Object Learning via Common Fate

The Hitchhiker's Guide to Facebook Web Tracking with Invisible Pixels and Click IDs

The Memento Tracer Framework: Balancing Quality and Scalability for Web Archiving

VPN0: A Privacy-Preserving Decentralized Virtual Private Network

Fully Automated HTML and Javascript Rewriting for Constructing a Self-Healing Web Proxy

Software Testing, Verification and Reliability


Fast key-value DB in Go.

Enabling Efficient Updates in KV Storage via Hashing: Design and Performance Evaluation

DVID: Distributed Versioned Image-Oriented Dataservice

Proteus: A Self-Designing Range Filter

Proceedings of the 2022 International Conference on Management of Data

The Early Microbenchmark Catches the Bug -- Studying Performance Issues Using Micro- and Application Benchmarks

Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing

Short Paper: Debt Representation in UTXO Blockchains


a language for fast, portable data-parallel computation

Learning to Perform Local Rewriting for Combinatorial Optimization

Achieving high-performance the functional way: a functional pearl on expressing high-performance optimizations as rewrite strategies

Proceedings of the ACM on Programming Languages

Rewrite Rule Inference Using Equality Saturation

ProTuner: Tuning Programs with Monte Carlo Tree Search

Optimizing Data-Intensive Computations in Existing Libraries with Split Annotations

Schedule Synthesis for Halide Pipelines on GPUs

ACM Transactions on Architecture and Code Optimization (TACO)

Verifying and improving Halide’s term rewriting system with program synthesis

A Language for Describing Optimization Strategies

Guided Optimization for Image Processing Pipelines

Model-Based Warp Overlapped Tiling for Image Processing Programs on GPUs


The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

TeenyTinyLlama: open-source tiny language models trained in Brazilian
  Portuguese

DuluthNLP at SemEval-2021 Task 7: Fine-Tuning RoBERTa Model for Humor Detection and Offense Rating

Meeting of the Association for Computational Linguistics

Generative AI for Pull Request Descriptions: Adoption, Impact, and Developer Interventions

RoPINN: Region Optimized Physics-Informed Neural Networks

Predicting Emotion Intensity in Polish Political Texts: Comparing Supervised Models and Large Language Models in a Resource-Poor Language


The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

Random testing for C and C++ compilers with YARPGen

Benchmarking a New Paradigm: An Experimental Analysis of a Real Processing-in-Memory Architecture

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

Compiling ONNX Neural Network Models Using MLIR

情報処理学会論文誌プログラミング（PRO）

PACStack: an Authenticated Call Stack

High Performance Code Generation in MLIR: An Early Case Study with GEMM

Who is Debugging the Debuggers? Exposing Debug Information Bugs in Optimized Binaries

Dataflow-based pruning for speeding up superoptimization

FPL: fast Presburger arithmetic through transprecision

Distinguishing the Knowable from the Unknowable with Language Models


A natural language modeling framework based on PyTorch

Convolutional Neural Networks for Sentence Classification

HuggingFace's Transformers: State-of-the-art Natural Language Processing

A Structured Self-attentive Sentence Embedding

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond

Evaluating Lottery Tickets Under Distributional Shifts

First-Generation Inference Accelerator Deployment at Facebook

Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog

Empirical Methods in Natural Language Processing

Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog

lingvis.io - A Linguistic Visual Analytics Framework

PROCEEDINGS OF THE 57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: SYSTEM DEMONSTRATIONS, (ACL 2019)

PyText: A Seamless Path from NLP research to production


Creative Commons Attribution 4.0 International

Security vulnerability database inclusive of CVEs and GitHub originated security advisories from the world of open source software.

On the Effect of Transitivity and Granularity on Vulnerability Propagation in the Maven Ecosystem

On the Security Blind Spots of Software Composition Analysis

VFCFinder: Seamlessly Pairing Security Advisories and Patches


Java 1-21 Parser and Abstract Syntax Tree for Java with advanced analysis functionalities.

CURE: Code-Aware Neural Machine Translation for Automatic Program Repair

International Conference on Software Engineering

On the generalizability of Neural Program Models with respect to semantic-preserving program transformations

A comprehensive study of bloated dependencies in the Maven ecosystem

On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot

IntelliMerge: a refactoring-aware software merging technique

KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair

Learning Deep Semantics for Test Completion

QUICKAR: Automatic Query Reformulation for Concept Location using Crowdsourced Knowledge

International Conference on Automated Software Engineering

Testing with Fewer Resources: An Adaptive Approach to Performance-Aware Test Case Generation

IEEE Transactions on Software Engineering

CodeMatcher: Searching Code Based on Sequential Semantics of Important Query Words

ACM Transactions on Software Engineering and Methodology


Open-source simulator for autonomous driving research.

Augmented LiDAR Simulator for Autonomous Driving

International Conference on Robotics and Automation

Scenic: a language for scenario specification and data generation

Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions

Learning Across Tasks and Domains

Sensor Fusion in Autonomous Vehicle with Traffic Surveillance Camera System: Detection, Localization, and AI Networking

Introducing Intermediate Domains for Effective Self-Training during Test-Time

Review of wheeled mobile robot collision avoidance under unknown environment

TARGET: Automated Scenario Generation from Traffic Rules for Testing Autonomous Vehicles

Optimizing LiDAR Placements for Robust Driving Perception in Adverse
  Conditions

Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry


Open Food Facts database, API server and web interface -  Perl, CSS and JS coders welcome  For helping in Python, see Robotoff or taxonomy-editor


A static analyzer for Java, C, C++, and Objective-C

D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis

RacerD: compositional static race detection

Automated Customized Bug-Benchmark Generation

FLAG: Finding Line Anomalies (in code) with Generative AI

An Algebraic Glimpse at Bunched Implications and Separation Logic

The Static Analyzer Infer in SV-COMP (Competition Contribution)

Tools and Algorithms for the Construction and Analysis of Systems

Understanding and Detecting Annotation-Induced Faults of Static
  Analyzers

Low-Level Bi-Abduction

The Right Prompts for the Job: Repair Code-Review Defects with Large Language Model


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

Function delivery network: Extending serverless computing for heterogeneous platforms

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

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

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


Integrate cutting-edge LLM technology quickly and easily into your apps

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

TaskWeaver: A Code-First Agent Framework

Prompting Frameworks for Large Language Models: A Survey

Misusing Tools in Large Language Models With Visual Adversarial Examples

PromptBench: A Unified Library for Evaluation of Large Language Models

ParlayANN: Scalable and Deterministic Parallel Graph-Based Approximate Nearest Neighbor Search Algorithms

Static Code Analysis in the AI Era: An In-depth Exploration of the Concept, Function, and Potential of Intelligent Code Analysis Agents

Security of AI Agents


Bayesian Modeling and Probabilistic Programming in Python

Probabilistic programming in Python using PyMC3

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

A LOFAR census of non-recycled pulsars: average profiles, dispersion measures, flux densities, and spectra

Probabilistic Programming in Python using PyMC

THE DISTANCE DUALITY RELATION FROM STRONG GRAVITATIONAL LENSING

SGR-like behaviour of the repeating FRB 121102

Journal of Cosmology and Astroparticle Physics

SensibleSleep: A Bayesian Model for Learning Sleep Patterns from Smartphone Events

COSMIC EVOLUTION OF BLACK HOLES AND SPHEROIDS. V. THE RELATION BETWEEN BLACK HOLE MASS AND HOST GALAXY LUMINOSITY FOR A SAMPLE OF 79 ACTIVE GALAXIES

Is the Universe transparent?

Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology

Discovery of the secondary eclipse of HAT-P-11 b


Official repository for Spyder - The Scientific Python Development Environment

Consciousness & Brain Functional Complexity in Propofol Anaesthesia

An image-based data-driven analysis of cellular architecture in a developing tissue

Tellurium: A Python Based Modeling and Reproducibility Platform for Systems Biology

Pydna: a simulation and documentation tool for DNA assembly strategies using python

Vis-Eval Metric Viewer: A Visualisation Tool for Inspecting and Evaluating Metric Scores of Machine Translation Output

North American Chapter of the Association for Computational Linguistics

Fractal Dimension of Cortical Functional Connectivity Networks Predicts Severity in Disorders of Consciousness

Natural Language Processing with Pandas DataFrames

Proceedings of the Python in Science Conferences

WA-Continuum: Visualising Word Alignments across Multiple Parallel Sentences Simultaneously

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (ACL-IJCNLP 2015): SYSTEM DEMONSTRATIONS

PYESSENCE - Generalised Coupled Quintessence Linear Perturbation Python Code - User Guide


Ethereum consensus client in Rust

Strategic Latency Reduction in Blockchain Peer-to-Peer Networks

Resource Analysis of Ethereum 2.0 Clients

Security Review of Ethereum Beacon Clients

Decentralization of Ethereum's Builder Market


A python interface for interacting with the Ethereum blockchain and ecosystem.

Foundational Oracle Patterns: Connecting Blockchain to the Off-Chain World

Lecture notes in business information processing

BGPcoin: Blockchain-Based Internet Number Resource Authority and BGP Security Solution

Shard Scheduler: object placement and migration in sharded account-based blockchains

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

EdgeToll: A Blockchain-based Toll Collection System for Public Sharing of Heterogeneous Edges

Forsage: Anatomy of a Smart-Contract Pyramid Scheme

zkay v0.2: Practical Data Privacy for Smart Contracts

Detecting DeFi Securities Violations from Token Smart Contract Code

Tides of Blockchain in IoT Cybersecurity

From Programming Bugs to Multimillion-Dollar Scams: An Analysis of Trapdoor Tokens on Decentralized Exchanges


myPLS toolbox - PLS analysis for medical image processing

Brain functional connectivity alterations associated with neuropsychological performance 6-9 months following SARS-CoV-2 infection.

Linking cerebellar functional gradients to transdiagnostic behavioral dimensions of psychopathology

Dysmaturation Observed as Altered Hippocampal Functional Connectivity at Rest Is Associated With the Emergence of Positive Psychotic Symptoms in Patients With 22q11 Deletion Syndrome

Markers of limbic system damage following SARS-CoV-2 infection

Associated functional network development and language abilities in children

Acute TNFα levels predict cognitive impairment 6–9 months after COVID-19 infection

Identifying neurodevelopmental anomalies of white matter microstructure associated with high risk for psychosis in 22q11.2DS

Large-scale brain network dynamics in very preterm children and relationship with socio-emotional outcomes: an exploratory study

Corpus callosum structural characteristics in very preterm children and adolescents: Developmental trajectory and relationship to cognitive functioning

Neural substrates of psychosis revealed by altered dependencies between brain activity and white-matter architecture in individuals with 22q11 deletion syndrome


A Literature Study of Embeddings on Source Code

A Cross-Architecture Instruction Embedding Model for Natural Language Processing-Inspired Binary Code Analysis

Inter-BIN: Interaction-Based Cross-Architecture IoT Binary Similarity Comparison


Easily construct the ML species tree with single-copy gene shared by different species.

A high-continuity genome assembly of Chinese flowering cabbage (Brassica rapa var. parachinensis) provides new insights into Brassica genome structure evolution

Comparative analysis of GRAS genes in six Cucurbitaceae species provides novel insights into their evolution and function


A tool for visualisation of gene set over-representation analysis (GSOA).

GSOAP: a tool for visualization of gene set over-representation analysis

Identification of Stemness-Related Genes for Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma by Integrated Bioinformatics Analysis

Frontiers in cell and developmental biology

Identification of Key Immune-Related Genes in the Progression of Septic Shock


Code for ICDM-2018 paper: SINE: Sclable Incomplete Network Embedding

SINE: Scalable Incomplete Network Embedding

A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods

Search Efficient Binary Network Embedding


Data for evaluating gender bias in coreference resolution systems.

Gender Bias in Coreference Resolution

Algorithmic fairness datasets: the story so far

Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models

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

Inseq: An Interpretability Toolkit for Sequence Generation Models

Fairness Testing: A Comprehensive Survey and Analysis of Trends

Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models

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


PyTorch implementation of 'B-spline Parameterized Joint Optimization of Reconstruction and K-space Trajectories (BJORK) for Accelerated 2D MRI''

MoDL: Model-Based Deep Learning Architecture for Inverse Problems

B-Spline Parameterized Joint Optimization of Reconstruction and K-Space Trajectories (BJORK) for Accelerated 2D MRI

Efficient Approximation of Jacobian Matrices Involving a Non-Uniform Fast Fourier Transform (NUFFT)

Stochastic Optimization of 3D Non-Cartesian Sampling Trajectory (SNOPY)


An unofficial implementation of AutoDAN attack on LLMs (arXiv:2310.15140)

Universal and Transferable Adversarial Attacks on Aligned Language Models

AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language Models

Fast Adversarial Attacks on Language Models In One GPU Minute


Point Mamba

PCT: Point cloud transformer

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

OctFormer: Octree-based Transformers for 3D Point Clouds

Point Mamba: A Novel Point Cloud Backbone Based on State Space Model
  with Octree-Based Ordering Strategy


Augmented Memory and Beam Enumeration implementation

Augmented Memory: Capitalizing on Experience Replay to Accelerate De Novo Molecular Design

Beam Enumeration: Probabilistic Explainability For Sample Efficient Self-conditioned Molecular Design

Augmented Memory: Sample-Efficient Generative Molecular Design with Reinforcement Learning

Saturn: Sample-efficient Generative Molecular Design using Memory Manipulation


Mutual nearest neighbor graphs and data visualization for genomic population networks :octopus:

Evolution and Global Transmission of a Multidrug-Resistant, Community-Associated Methicillin-Resistant Staphylococcus aureus Lineage from the Indian Subcontinent

Autosomal and Mitochondrial Adaptation Following Admixture: A Case Study on the Honeybees of Reunion Island

Identification of key contributors in complex population structures


Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application

Deep Reinforcement Learning for List-wise Recommendations

Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling


Evolving modular soft robots without explicit inter-module communication using local self-attention

Evolving Hebbian Learning Rules in Voxel-Based Soft Robots

IEEE Transactions on Cognitive and Developmental Systems

Criticality-Driven Evolution of Adaptable Morphologies of Voxel-Based Soft-Robots

JGEA

Proceedings of the Genetic and Evolutionary Computation Conference Companion

Mining Road Traffic Rules with Signal Temporal Logic and Grammar-Based Genetic Programming


The official code for Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention

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

Quantifying Attention Flow in Transformers

Transformer Interpretability Beyond Attention Visualization


Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization

Conditional entropy minimization principle for learning domain invariant representation features

Which Invariance Should We Transfer? A Causal Minimax Learning Approach

Counterfactual Supervision-based Information Bottleneck for Out-of-Distribution Generalization

Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms


Practical Deep Reinforcement Learning Approach for Stock Trading

FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance

Multi-Agent Deep Reinforcement Learning for Liquidation Strategy Analysis


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


[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


Official implementation of "Graph Unlearning" (ACM CCS 2022)

Graph Unlearning

Inductive Graph Unlearning

Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection

IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks


Deep Learning Meets SAR

PolSF: PolSAR image dataset on San Francisco

PolSF: PolSAR Image Datasets on San Francisco

IFIP advances in information and communication technology


[AAAI2022] Code Release of Attacking Video Recognition Models with Bullet-Screen Comments

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning


Constrained optimization competition

Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient

Helper and Equivalent Objectives: Efficient Approach for Constrained Optimization

Analyzing design principles for competitive evolution strategies in
  constrained search spaces


Public repository for 3D-MILP paper.


PyTorch implementation of the classical image steganalysis networks, compatible with both grayscale and color images, and supporting multiple image sizes.

Deep Residual Network for Steganalysis of Digital Images

IEEE Transactions on Information Forensics and Security

Deep Learning Hierarchical Representations for Image Steganalysis

Structural Design of Convolutional Neural Networks for Steganalysis

A Siamese CNN for Image Steganalysis

Fast and Effective Global Covariance Pooling Network for Image Steganalysis

Information Hiding and Multimedia Security Workshop


The source code for "Global Context Enhanced Graph Neural Network for Session-based Recommendation".

Global Context Enhanced Graph Neural Networks for Session-based Recommendation

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

Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation

Proceedings of the 31st ACM International Conference on Information & Knowledge Management

Exploring Global Information for Session-based Recommendation

Social-aware Sparse Attention Network for Session-based Social Recommendation

Findings of the Association for Computational Linguistics: EMNLP 2022

Self Contrastive Learning for Session-based Recommendation

Understanding User Intent Modeling for Conversational Recommender Systems: A Systematic Literature Review


An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Recurrent Neural Networks for Multivariate Time Series with Missing Values

Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series

Self-supervised Transformer for Multivariate Clinical Time-Series with Missing Values.


A Neural-Network-Based Convex Regularizer for Inverse Problems

Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms

Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling

Scalable Bayesian uncertainty quantification with data-driven priors for radio interferometric imaging


Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass

Lightweight Inference for Forward-Forward Algorithm


Do We Really Need Complicated Model Architectures For Temporal Networks?

On the Generalization Capability of Temporal Graph Learning Algorithms:
  Theoretical Insights and a Simpler Method


Efficient Architecture Search for Diverse Tasks

Rethinking Neural Operations for Diverse Tasks


Official code for "STaSy: Score-based Tabular data Synthesis", ICLR 2023

Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space


Datasets: road-scene-infrared-visible-images, for feature matching, image registration, and image fusion

DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion

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

Advances and Challenges in Multimodal Remote Sensing Image Registration

Efficient and Interpretable Infrared and Visible Image Fusion Via Algorithm Unrolling.


This repository contains the initial implementation of pre-processing for the VITON dataset, which is the most commonly utilized dataset for virtual try-on tasks.

VITON: An Image-based Virtual Try-on Network

Style-Based Global Appearance Flow for Virtual Try-On

CP-VTON+: Clothing Shape and Texture Preserving Image-Based Virtual Try-On

C-VTON: Context-Driven Image-Based Virtual Try-On Network

IEEE Workshop/Winter Conference on Applications of Computer Vision

OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup

RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on

Fill in Fabrics: Body-Aware Self-Supervised Inpainting for Image-Based Virtual Try-On


[WWW'21] Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks

Multiplex Heterogeneous Graph Convolutional Network

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


Fitting SEDs of binary stars.

UOCS. IV. Discovery of diverse hot companions to blue stragglers in the old open cluster King 2

Characterization of hot populations of Melotte 66 open cluster using Swift/UVOT

Monthly notices of the Royal Astronomical Society

UOCS-IX. AstroSat/UVIT Study of the Open Cluster NGC 2818: Blue Stragglers, Yellow Stragglers, Planetary Nebula, and their Membership

UVIT Open Cluster Study. X. Rich Collection of Post Mass Transfer Systems in NGC 6791


Deep Learning-Based Non-Intrusive Multi-Objective Speech Assessment Model With Cross-Domain Features

InQSS: a speech intelligibility and quality assessment model using a multi-task learning network


Determining the RotAtion Count of pULsArs

Eight new millisecond pulsars from the first MeerKAT globular cluster census

Monthly Notices of the Royal Astronomical Society

An algorithm for determining the rotation count of pulsars

An in-depth investigation of 11 pulsars discovered by FAST

The High Time Resolution Universe Pulsar Survey -- XVI. Discovery and
  timing of 40 pulsars from the southern Galactic plane

TRAPUM discovery of 13 new pulsars in NGC 1851 using MeerKAT

HAL (Le Centre pour la Communication Scientifique Directe)

Eight Millisecond Pulsars Discovered in the Arecibo PALFA Survey

FAST early pulsar discoveries: Effelsberg follow-up

Timing of Eight Binary Millisecond Pulsars Found with Arecibo in Fermi-LAT Unidentified Sources

Discovery and Timing of Three Millisecond Pulsars in Radio and Gamma-Rays with the Giant Metrewave Radio Telescope and Fermi Large Area Telescope

The TRAPUM L-band survey for pulsars in Fermi-LAT gamma-ray sources


The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations.

A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics


Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.

Momentum Contrast for Unsupervised Visual Representation Learning

Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future


Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"

Online Prototype Learning for Online Continual Learning


Code to accompany "Reversing unknown quantum transformations: A universal protocol for inverting general unitary operations"

Probabilistic exact universal quantum circuits for transforming unitary operations

Universal construction of decoders from encoding black boxes


GMSS2.0 is a software package for implementing stochastic ground motion simulation using finite-fault sources.

An Updated Corner-Frequency Model for Stochastic Finite-Fault Ground-Motion Simulation

Bulletin of the Seismological Society of America

A Computational Tool for Ground-Motion Simulations Incorporating Regional Crustal Conditions

GMSS2.0: An Enhanced Software Program for Stochastic Finite-Fault Ground-Motion Simulation


Deep structural clustering for single-cell RNA-seq data jointly through autoencoder and graph neural network

Deep Learning in Single-Cell Analysis

Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning


MBCGCN

Multi-Behavior Recommendation with Cascading Graph Convolution Networks

Parallel Knowledge Enhancement based Framework for Multi-behavior Recommendation

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management


Training codebase for our solution to Kaggle's Deepfake Detection Challenge

Towards Measuring Fairness in AI: the Casual Conversations Dataset

Analyzing Fairness in Deepfake Detection With Massively Annotated Databases

Assessment Framework for Deepfake Detection in Real-world Situations


Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples

Cross-domain Few-shot Learning with Task-specific Adapters

DETA: Denoised Task Adaptation for Few-Shot Learning


[SIGIR 2022] The implementation of Logiformer

Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text

DAGN: Discourse-Aware Graph Network for Logical Reasoning

Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval


Type inference algorithms and intuitionistic propositional theorem provers solving type inhabitation problems

A Combinatorial Testing Framework for Intuitionistic Propositional Theorem Provers

Practical Aspects of Declarative Languages

Abductive Reasoning in Intuitionistic Propositional Logic via Theorem Synthesis

Modality Definition Synthesis for Epistemic Intuitionistic Logic via a Theorem Prover


A set of MATLAB wrapper scripts to help with pre-processing of tomography data.

A modular platform for automated cryo-FIB workflows

Molecular-scale visualization of sarcomere contraction within native cardiomyocytes

Cnm1 mediates nucleus–mitochondria contact site formation in response to phospholipid levels

The AAA+ chaperone VCP disaggregates Tau fibrils and generates aggregate seeds in a cellular system

In situ snapshots along a mammalian selective autophagy pathway

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

In situ architecture of the ciliary base reveals the stepwise assembly of IFT trains

In situ structure of actin remodeling during glucose-stimulated insulin secretion using cryo-electron tomography


Sequence Modeling with Structured State Spaces

Efficiently Modeling Long Sequences with Structured State Spaces

Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers

HiPPO: Recurrent Memory with Optimal Polynomial Projections

Diagonal State Spaces are as Effective as Structured State Spaces

It's Raw! Audio Generation with State-Space Models

Diagonal State Space Augmented Transformers for Speech Recognition


An empirical analysis of Earth's annual-average surface reflectivity potential


Controllable Sentence Simplification with T5

Controllable Sentence Simplification with a Unified Text-to-Text Transfer Transformer

Proceedings of the 14th International Conference on Natural Language Generation

Controllable Lexical Simplification for English

Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading Comprehension


The implementation for DropMessage.

Improving neural networks by preventing co-adaptation of feature detectors

DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Graph Random Neural Network for Semi-Supervised Learning on Graphs

DropMessage: Unifying Random Dropping for Graph Neural Networks


More dimensions = More fun

Vision Transformer for Small-Size Datasets

Mega: Moving Average Equipped Gated Attention

2-D SSM: A General Spatial Layer for Visual Transformers


好的CADD教程，资源总结

Highly accurate protein structure prediction with AlphaFold

Open Babel: An open chemical toolbox

OpenMM 7: Rapid development of high performance algorithms for molecular dynamics

DOCK 6: Impact of new features and current docking performance

Flexible Cdocker: Development and Application of a Pseudo-Explicit Structure-Based Docking Method within Charmm

CRDS: Consensus Reverse Docking System for target fishing


RoBERTa: A Robustly Optimized BERT Pretraining Approach

How to Fine-Tune BERT for Text Classification?

FastText.zip: Compressing text classification models

A Sentence-level Hierarchical BERT Model for Document Classification with Limited Labelled Data


Tools for haplotype-wise reconstruction of pseudomolecules

Introgression among North American wild grapes (Vitis) fuels biotic and abiotic adaptation

Diploid chromosome-scale assembly of the Muscadinia rotundifolia genome supports chromosome fusion and disease resistance gene expansion during Vitis and Muscadinia divergence

Assembly of complete diploid-phased chromosomes from draft genome sequences

Haplotype-resolved powdery mildew resistance loci reveal the impact of heterozygous structural variation on NLR genes in Muscadinia rotundifolia


Graph Neural Networks with Learnable and Optimal Polynomial Bases

Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach

Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering


Inferring multi-scale neural mechanisms with brain network modelling

Modeling brain dynamics in brain tumor patients using The Virtual Brain

Modeling brain dynamics after tumor resection using The Virtual Brain


Socially Aware Motion Planning with Deep Reinforcement Learning

Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning

Collision Avoidance in Pedestrian-Rich Environments With Deep Reinforcement Learning


Python 3 support for the MS COCO caption evaluation tools

CIDEr: Consensus-based Image Description Evaluation

Microsoft COCO Captions: Data Collection and Evaluation Server

SPICE: Semantic Propositional Image Caption Evaluation

CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Visual Captioning at Will: Describing Images and Videos Guided by a Few Stylized Sentences


Data and code for "A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization" (ACL 2020)

FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization

Meeting of the Association for Computational Linguistics

SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization

Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding

Focus Attention: Promoting Faithfulness and Diversity in Summarization

RHO (ρ): Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding

DialSummEval: Revisiting Summarization Evaluation for Dialogues

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


Official PyTorch implementation of TTS Style Transfer

Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions

Tacotron: Towards End-to-End Speech Synthesis

Efficient Neural Audio Synthesis

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

Enhancing Speech Intelligibility in Text-To-Speech Synthesis using Speaking Style Conversion


BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning

Fine-Tuning Is All You Need to Mitigate Backdoor Attacks

Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP


Chinese to English medical translation

BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing

NEJM-enzh: A Parallel Corpus for English-Chinese Translation in the Biomedical Domain

Benchmarks and goals

"A Little is Enough": Few-Shot Quality Estimation based Corpus Filtering improves Machine Translation


An interface to and, in time, a Python reimplementation of the ROUGE package for evaluating summarization

Deep Reinforcement Learning For Sequence to Sequence Models

Building Legal Case Retrieval Systems with Lexical Matching and Summarization using A Pre-Trained Phrase Scoring Model

International Conference on Artificial Intelligence and Law

Out of the BLEU: how should we assess quality of the Code Generation models?

Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation

Global Optimization under Length Constraint for Neural Text Summarization

Denoising based Sequence-to-Sequence Pre-training for Text Generation

Improving Unsupervised Extractive Summarization with Facet-Aware Modeling

Transformer-based Model for Single Documents Neural Summarization

Empirical Methods in Natural Language Processing

AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization

Turkish abstractive text summarization using pretrained sequence-to-sequence models


Real-Time Outdoor Localization Using Radio Maps: A Deep Learning Approach

Dataset of Pathloss and ToA Radio Maps With Localization Application

LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning


TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting

TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs

xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links

Learning Latent Relations for Temporal Knowledge Graph Reasoning

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


Semantic Drift Compensation for Class-Incremental Learning

Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning

Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning

FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning


ACL 2022: Just Rank: Rethinking Evaluation with Word and Sentence Similarities

WWW - A word at a time: computing word relatedness using temporal semantic analysis

Large-scale learning of word relatedness with constraints


Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"

Task-adaptive Neural Process for User Cold-Start Recommendation

Representation Learning: Recommendation With Knowledge Graph via Triple-Autoencoder

ColdNAS: Search to Modulate for User Cold-Start Recommendation

A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming


Communication-Efficient Learning of Deep Networks from Decentralized Data

Federated Optimization in Heterogeneous Networks

Applied Federated Learning: Improving Google Keyboard Query Suggestions

FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients


Universal and Transferable Adversarial Attacks on Aligned Language Models

SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks

How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs

Break the Breakout: Reinventing LM Defense Against Jailbreak Attacks
  with Self-Refinement

Protecting Your LLMs with Information Bottleneck


DALL-E for Detection: Language-driven Compositional Image Synthesis for Object Detection

Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection

Beyond Generation: Harnessing Text to Image Models for Object Detection and Segmentation

EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance Segmentation


CGView is a Java package for generating high-quality, zoomable maps of circular genomes.

Markers to Rapidly Distinguish Bacillus paralicheniformis From the Very Close Relative, Bacillus licheniformis

Characterization of Klebsiella pneumoniae carrying the blaNDM-1 gene in IncX3 plasmids and the rare In1765 in an IncFIB-IncHI1B plasmid

Occurrence and characterization of plasmids carrying tmexCD1-toprJ1, bla DHA-1, and bla CTX-M-127, in clinical Klebsiella pneumoniae strains

Frontiers in cellular and infection microbiology


A toolbox for near-field THz imaging simulation and image reconstruction.

Efficient 3-D Near-Field MIMO-SAR Imaging for Irregular Scanning Geometries

Near-Field MIMO-ISAR Millimeter-Wave Imaging

Efficient CNN-Based Super Resolution Algorithms for Mmwave Mobile Radar Imaging

International Conference on Information Photonics

A Vision Transformer Approach for Efficient Near-Field SAR Super-Resolution under Array Perturbation

PROCEEDINGS OF THE 2022 IEEE TEXAS SYMPOSIUM ON WIRELESS AND MICROWAVE CIRCUITS AND SYSTEMS (WMCS)

Deep-Learning-Based Multiband Signal Fusion for 3-D SAR Superresolution

IEEE Transactions on Aerospace and Electronic Systems

Novel Hybrid-Learning Algorithms for Improved Millimeter-Wave Imaging Systems


MHC-peptide class II interaction prediction, binding, presentation

BERTMHC: improved MHC-peptide class II interaction prediction with transformer and multiple instance learning

DeepMHCII: a novel binding core-aware deep interaction model for accurate MHC-II peptide binding affinity prediction

BERTMHC: Improves MHC-peptide class II interaction prediction with transformer and multiple instance learning


A incomplete survey for Split Learning (comprehensive enough) and Federated Learning (only most representative works)

Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures

Conference on Computer and Communications Security

Deep Leakage from Gradients

Model inversion attacks against collaborative inference

Asia-Pacific Computer Systems Architecture Conference

Unleashing the Tiger: Inference Attacks on Split Learning

Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training?

FedBERT: When Federated Learning Meets Pre-training

ACM Transactions on Intelligent Systems and Technology

Advancements of federated learning towards privacy preservation: from federated learning to split learning

PrivColl: Practical Privacy-Preserving Collaborative Machine Learning

Combining split and federated architectures for efficiency and privacy in deep learning

Conference on Emerging Network Experiment and Technology

SplitEasy: A Practical Approach for Training ML models on Mobile Devices

Workshop on Mobile Computing Systems and Applications