libAtoms/QUIP molecular dynamics framework: https://libatoms.github.io

Gaussian Approximation Potentials: a brief tutorial introduction

Achieving DFT accuracy with a machine-learning interatomic potential: Thermomechanics and defects in bcc ferromagnetic iron

Realistic atomistic structure of amorphous silicon from
  machine-learning-driven molecular dynamics

The journal of physical chemistry letters

An accurate and transferable machine learning potential for carbon.

Development of a machine learning potential for graphene

Extending the accuracy of the SNAP interatomic potential form

86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with ab initio accuracy

Neuroevolution machine learning potentials: Combining high accuracy and low cost in atomistic simulations and application to heat transport

Machine-learned interatomic potentials for alloys and alloy phase diagrams

Machine-learning interatomic potential for radiation damage and defects in tungsten


Python tools for obtaining and working with ICESat-2 data

How Are Under Ice Phytoplankton Related to Sea Ice in the Southern Ocean?

NASA ICESat-2: Space-Borne LiDAR for Geological Education and Field Mapping of Aeolian Sand Dune Environments


CV32E40P is an in-order 4-stage RISC-V RV32IMFCXpulp CPU based on RI5CY from PULP-Platform

PULP-NN: accelerating quantized neural networks on parallel ultra-low-power RISC-V processors

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

FPnew: An Open-Source Multiformat Floating-Point Unit Architecture for Energy-Proportional Transprecision Computing

Pointing in the Right Direction - Securing Memory Accesses in a Faulty World

Asia-Pacific Computer Systems Architecture Conference

Dustin: A 16-Cores Parallel Ultra-Low-Power Cluster With 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode

A Survey of the RISC-V Architecture Software Support

Comparative Analysis and Enhancement of CFG-based Hardware-Assisted CFI Schemes

ControlPULP: A RISC-V On-Chip Parallel Power Controller for Many-Core HPC Processors with FPGA-Based Hardware-In-The-Loop Power and Thermal Emulation

MAFIA: Protecting the Microarchitecture of Embedded Systems Against Fault Injection Attacks

IEEE transactions on computer-aided design of integrated circuits and systems


Barebone MQTT broker that can run on any stream server, the node way

Intelligent One-Class Classifiers for the Development of an Intrusion Detection System: The MQTT Case Study

Evaluation of IoT self-healing mechanisms using fault-injection in message brokers

Proceedings of the 4th International Workshop on Software Engineering Research and Practice for the IoT

Migrating from Microservices to Serverless: An IoT Platform Case Study

Security assessment of common open source MQTT brokers and clients


The reference P4 software switch

Heavy-Hitter Detection Entirely in the Data Plane

A Survey on Data Plane Programming with P4: Fundamentals, Advances, and
  Applied Research

P4-IPsec: Site-to-Site and Host-to-Site VPN with IPsec in P4-Based SDN

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

In-Network Volumetric DDoS Victim Identification Using Programmable Commodity Switches

IEEE transactions on network and service management/IEEE eTransactions on network and service management

Tracking Normalized Network Traffic Entropy to Detect DDoS Attacks in P4

QROUTE: An Efficient Quality of Service (QoS) Routing Scheme for Software-Defined Overlay Networks

Gauntlet: Finding Bugs in Compilers for Programmable Packet Processing

FastReact: In-Network Control and Caching for Industrial Control Networks using Programmable Data Planes

Random Linear Network Coding on Programmable Switches


Astropy package for source detection and photometry. Maintainers: @larrybradley and @bsipocz

ATLASGAL-selected massive clumps in the inner Galaxy: V. Temperature structure and evolution

K2 ROTATION PERIODS FOR LOW-MASS HYADS AND THE IMPLICATIONS FOR GYROCHRONOLOGY

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

Candidate Tidal Disruption Event AT2019fdr Coincident with a High-Energy
  Neutrino

Core-collapse, superluminous, and gamma-ray burst supernova host galaxy populations at low redshift: the importance of dwarf and starbursting galaxies

Monthly Notices of the Royal Astronomical Society

Dust emission profiles of DustPedia galaxies

Point-spread Function Ramifications and Deconvolution of a Signal Dependent Blur Kernel Due to Interpixel Capacitive Coupling

Publications of the Astronomical Society of the Pacific

The AGN luminosity fraction in merging galaxies

GRANDMA and HXMT Observations of GRB 221009A: The Standard Luminosity Afterglow of a Hyperluminous Gamma-Ray Burst—In Gedenken an David Alexander Kann

The AGN contribution to the UV–FIR luminosities of interacting galaxies and its role in identifying the main sequence


A CoAP (RFC 7252) implementation in C

SDN Architecture for 6LoWPAN Wireless Sensor Networks

MultiFuzz: A Coverage-Based Multiparty-Protocol Fuzzer for IoT Publish/Subscribe Protocols

Observing IoT Resources over ICN

Design and Implementation of Virtual Private Storage Framework Using Internet of Things Local Networks


Flang is a Fortran language front-end designed for integration with LLVM.

LLOV: A Fast Static Data-Race Checker for OpenMP Programs

ACM transactions on architecture and code optimization

An LLVM Instrumentation Plug-in for Score-P

Proceedings of the Fourth Workshop on the LLVM Compiler Infrastructure in HPC

Bridging Control-Centric and Data-Centric Optimization

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

Online Application Guidance for Heterogeneous Memory Systems


Message Passing Neural Networks for Molecule Property Prediction

Analyzing Learned Molecular Representations for Property Prediction

Evaluating Scalable Uncertainty Estimation Methods for Deep Learning-Based Molecular Property Prediction

Journal of chemical information and modeling

Deep learning identifies synergistic drug combinations for treating COVID-19

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

Transfer learning for solvation free energies: From quantum chemistry to experiments

DeepGraphMolGen, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach

Machine Learning of Reaction Properties via Learned Representations of the Condensed Graph of Reaction

Few-shot Conformal Prediction with Auxiliary Tasks

A hybrid framework for improving uncertainty quantification in deep learning-based QSAR regression modeling

Characterizing Uncertainty in Machine Learning for Chemistry

Discovery of senolytics using machine learning


Sparsity-aware deep learning inference runtime for CPUs

SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot

Structured Pruning Learns Compact and Accurate Models

Optimal Brain Compression: A Framework for Accurate Post-Training
  Quantization and Pruning

The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models

How Well Do Sparse ImageNet Models Transfer?

SPDY: Accurate Pruning with Speedup Guarantees

SparseProp: Efficient Sparse Backpropagation for Faster Training of
  Neural Networks

Accurate Neural Network Pruning Requires Rethinking Sparse Optimization

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


The gem5 Simulator: Version 20.0+

Multi Fluxon Storage and its Implications for Microprocessor Design

Advanced virtual prototyping for cyber-physical systems using RISC-V: implementation, verification and challenges

Enabling Virtual Memory Research on RISC-V with a Configurable TLB Hierarchy for the Rocket Chip Generator.

A RISC-V SystemC-TLM simulator

PANDA: Architecture-Level Power Evaluation by Unifying Analytical and Machine Learning Solutions

Randomized Testing of RISC-V CPUs Using Direct Instruction Injection

RVCoreP-32IC: A high-performance RISC-V soft processor with an efficient
  fetch unit supporting the compressed instructions


HCC is an Open Source, Optimizing C++ Compiler for Heterogeneous Compute currently for the ROCm GPU Computing Platform

Cross-platform programming model for many-core lattice Boltzmann simulations

Optimizing GPU Cache Policies for MI Workloads


Deployment scripts & config for Sock Shop

iBrownout: An Integrated Approach for Managing Energy and Brownout in Container-Based Clouds

IEEE transactions on sustainable computing

A Self-Adaptive Approach for Managing Applications and Harnessing Renewable Energy for Sustainable Cloud Computing

The μTOSCA toolchain: Mining, analyzing, and refactoring microservice‐based architectures

On the Nature of Issues in Five Open Source Microservices Systems: An Empirical Study

PROCEEDINGS OF EVALUATION AND ASSESSMENT IN SOFTWARE ENGINEERING (EASE 2021)

NEPTUNE: Network- and GPU-aware Management of Serverless Functions at
  the Edge

CausalRCA: Causal Inference based Precise Fine-grained Root Cause
  Localization for Microservice Applications

On Representing and Eliciting Resilience Requirements of Microservice Architecture Systems.

On Representing Resilience Requirements of Microservice Architecture Systems

Assessing Architecture Conformance to Coupling-Related Infrastructure-as-Code Best Practices: Metrics and Case Studies

Zenodo (CERN European Organization for Nuclear Research)

Intrinsic Anomaly Detection for Multi-Variate Time Series


scikit-learn: machine learning in Python

Scikit-learn: Machine Learning in Python

SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives

Accelerated Hierarchical Density Based Clustering

Unmasking Clever Hans predictors and assessing what machines really learn

Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines

A blood atlas of COVID-19 defines hallmarks of disease severity and specificity

Prediction of Acute Kidney Injury after Liver Transplantation: Machine Learning Approaches vs. Logistic Regression Model

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

Survey on Automated Machine Learning.

FLEX: Unifying Evaluation for Few-Shot NLP


A collection of AWESOME things about domian adaptation

A Survey of Unsupervised Deep Domain Adaptation

Visual Domain Adaptation: A survey of recent advances

A Review of Single-Source Deep Unsupervised Visual Domain Adaptation

Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation

Multi-source transfer learning of time series in cyclical manufacturing

On generalization in moment-based domain adaptation

Annals of mathematics and artificial intelligence


Manipulate audio with a simple and easy high level interface

Half-Truth: A Partially Fake Audio Detection Dataset

Spoofed Training Data for Speech Spoofing Countermeasure Can Be Efficiently Created Using Neural Vocoders

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

Performance Evaluation of RNN with Hyperbolic Secant in Gate Structure through Application of Parkinson’s Disease Detection

Effects of Soundscape Complexity on Urban Noise Annoyance Ratings: A Large-Scale Online Listening Experiment

International journal of environmental research and public health

Paralinguistic singing attribute recognition using supervised machine learning for describing the classical tenor solo singing voice in vocal pedagogy

EURASIP journal on audio, speech, and music processing

Multichannel acoustic source and image dataset for the cocktail party effect in hearing aid and implant users

Pansori: ASR Corpus Generation from Open Online Video Contents

Evaluating Web-Based Automatic Transcription for Alzheimer Speech Data: Transcript Comparison and Machine Learning Analysis

Attacker Attribution of Audio Deepfakes


eBPF-based Networking, Security, and Observability

Lic-Sec: an enhanced AppArmor Docker security profile generator

Synthesizing Safe and Efficient Kernel Extensions for Packet Processing

Safe and Efficient Remote Application Code Execution on Disaggregated NVM Storage with eBPF

Sound, Precise, and Fast Abstract Interpretation with Tristate Numbers

Aggregation-Based Gossip for Certificate Transparency

Aggregation-Based Certificate Transparency Gossip

MOAT: Towards Safe BPF Kernel Extension


Prototype implementation of IOTA 2.0

Towards a Blockchain-Based Multi-UAV Surveillance System

Access Control for Distributed Ledgers in the Internet of Things: A Networking Approach

Impact of delay classes on the data structure in IOTA

The security of the Coordicide: the implementation and analysis of
  possible attack vectors


Structured Text Generation

Sequential Monte Carlo Steering of Large Language Models using
  Probabilistic Programs

Efficient Guided Generation for Large Language Models


Firmware Analysis Tool

Vulnerabilities in IoT Devices for Smart Home Environment

PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS SECURITY AND PRIVACY (ICISSP)

Leveraging operational technology and the Internet of things to attack smart buildings

FIRM-COV: High-Coverage Greybox Fuzzing for IoT Firmware via Optimized Process Emulation

FirmHunter: State-Aware and Introspection-Driven Grey-Box Fuzzing towards IoT Firmware

A Study on the Digital Forensic Investigation Method of Clever Malware in IoT Devices

Code Injection Attacks in Wireless-Based Internet of Things (IoT): A Comprehensive Review and Practical Implementations

Beyond the Hype: A Real-World Evaluation of the Impact and Cost of
  Machine Learning-Based Malware Detection

HALE-IoT: Hardening Legacy Internet of Things Devices by Retrofitting Defensive Firmware Modifications and Implants

ColdPress: An Extensible Malware Analysis Platform for Threat Intelligence.

Towards Characterizing IoT Software Update Practices


Graphene / Graphene-SGX - a library OS for Linux multi-process applications, with Intel SGX support

Leaky Cauldron on the Dark Land: Understanding Memory Side-Channel Hazards in SGX

SGX-LKL: Securing the Host OS Interface for Trusted Execution

Practical Enclave Malware with Intel SGX

STACCO: Differentially Analyzing Side-Channel Traces for Detecting SSL/TLS Vulnerabilities in Secure Enclaves

Conference on Computer and Communications Security

Security, Performance and Energy Trade-Offs of Hardware-Assisted Memory Protection Mechanisms

Symposium on Reliable Distributed Systems

SmashEx: Smashing SGX Enclaves Using Exceptions

Dynamic Binary Translation for SGX Enclaves

Faulty Point Unit: ABI Poisoning Attacks on Trusted Execution Environments

Binary Compatibility For SGX Enclaves.

Protecting Security-Sensitive Data Using Program Transformation and Trusted Execution Environment


Community Terrestrial Systems Model (includes the Community Land Model of CESM)

The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty

Journal of advances in modeling earth systems

Benchmarking and parameter sensitivity of physiological and vegetation dynamics using the Functionally Assembled Terrestrial Ecosystem Simulator (FATES) at Barro Colorado Island, Panama

Beyond Static Benchmarking: Using Experimental Manipulations to Evaluate Land Model Assumptions

Model Structure and Climate Data Uncertainty in Historical Simulations of the Terrestrial Carbon Cycle (1850–2014)

Modeled Microbial Dynamics Explain the Apparent Temperature Sensitivity of Wetland Methane Emissions

A machine learning approach to emulation and biophysical parameter estimation with the Community Land Model, version 5

Advances in statistical climatology, meteorology and oceanography

Parameterization and Surface Data Improvements and New Capabilities for the Community Land Model Urban (CLMU)

Assessing impacts of selective logging on water, energy, and carbon budgets and ecosystem dynamics in Amazon forests using the Functionally Assembled Terrestrial Ecosystem Simulator

Projecting circum-Arctic excess-ground-ice melt with a sub-grid representation in the Community Land Model

Decadal fates and impacts of nitrogen additions on temperate forest carbon storage: a data–model comparison


A Blockchain-based Approach for Assessing Compliance with SLA-guaranteed IoT Services

Requirements for Ethereum Private Sidechains

Flexible Integration of Blockchain with Business Process Automation: A Federated Architecture

Lecture notes in business information processing

Blockchain Privacy and Scalability in a Decentralized Validated Energy Trading Context with Hyperledger Fabric

Fabric-GC: A Blockchain-based Gantt Chart System for
  Cross-organizational Project Management


Next generation cryptocurrency network

Comparison of blockchain platforms: a systematic review and healthcare examples

Journal of the American Medical Informatics Association : JAMIA

Delay and Communication Tradeoffs for Blockchain Systems With Lightweight IoT Clients

IPchain: Securing IP Prefix Allocation and Delegation with Blockchain

Dynamic Cryptography Integrated Secured Decentralized Applications with Blockchain Programming

Wasit journal of computer and mathematics science

Blockchain-based TLS Notary Service.


Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second

Towards Scalable Dataframe Systems

Vaex: big data exploration in the era of Gaia

Interactive (statistical) visualisation and exploration of a billion objects with vaex

Proceedings of the International Astronomical Union

On the Energy Consumption of Different Dataframe Processing Libraries --
  An Exploratory Study


Monitor Memory usage of Python code

Network Intrusion Detection Based on Novel Feature Selection Model and Various Recurrent Neural Networks

MethylStar: A fast and robust pre-processing pipeline for bulk or single-cell whole-genome bisulfite sequencing data

Attack-Aware Synchronization-Free Data Timestamping in LoRaWAN

Fast evaluation of finite element weak forms using python tensor contraction packages

Development of Magnetic-Based Navigation by Constructing Maps Using Machine Learning for Autonomous Mobile Robots in Real Environments

An Analytical Survey on Recent Trends in High Dimensional Data Visualization.

Analysis and Optimization of GNN-Based Recommender Systems on Persistent
  Memory


A library for scientific machine learning and physics-informed learning

Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators

fPINNs: Fractional Physics-Informed Neural Networks

A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems

Physics-informed neural networks with hard constraints for inverse design

Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems

DeepM&Mnet: Inferring the electroconvection multiphysics fields based on operator approximation by neural networks

A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks

DeepM&Mnet for hypersonics: Predicting the coupled flow and finite-rate chemistry behind a normal shock using neural-network approximation of operators

Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport

MIONet: Learning multiple-input operators via tensor product


Distributed Representations of Words and Phrases and their Compositionality

Efficient Estimation of Word Representations in Vector Space

Convolutional Neural Networks for Sentence Classification

DeepWalk: Online Learning of Social Representations

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

Neural Collaborative Filtering

Wide & Deep Learning for Recommender Systems

Deep Neural Networks for YouTube Recommendations

PROCEEDINGS OF THE 10TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'16)

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Session-based Recommendations with Recurrent Neural Networks

Learning deep structured semantic models for web search using clickthrough data

PROCEEDINGS OF THE 22ND ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM'13)


Icarus Verilog

VeriGen: A Large Language Model for Verilog Code Generation

VerilogEval: Evaluating Large Language Models for Verilog Code
  Generation

AutoChip: Automating HDL Generation Using LLM Feedback

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

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


TextAttack   is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

Generating Natural Language Adversarial Examples

A Survey of Data Augmentation Approaches for NLP

TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP

BERT-ATTACK: Adversarial Attack Against BERT Using BERT

BAE: BERT-based Adversarial Examples for Text Classification

A Survey on Text Classification: From Shallow to Deep Learning

Supporting Clustering with Contrastive Learning

PromptBench: Towards Evaluating the Robustness of Large Language Models
  on Adversarial Prompts

Reevaluating Adversarial Examples in Natural Language

MGTBench: Benchmarking Machine-Generated Text Detection


Creative Commons Attribution Share Alike 4.0 International

The "Yellow Paper": Ethereum's formal specification

A Survey on the Security of Blockchain Systems

Optimized Execution of Business Processes on Blockchain

Betrayal, Distrust, and Rationality: Smart Counter-Collusion Contracts for Verifiable Cloud Computing

Selfish Mining in Ethereum

New kids on the block: an analysis of modern blockchains.

Atomic Crosschain Transactions for Ethereum Private Sidechains

Clockwork Finance: Automated Analysis of Economic Security in Smart Contracts

Survey of crosschain communications protocols

Precise Attack Synthesis for Smart Contracts

Blockchain Use in IoT for Privacy-Preserving Anti-Pandemic Home Quarantine


Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

BEiT: BERT Pre-Training of Image Transformers

Unified Language Model Pre-training for Natural Language Understanding and Generation

Pre-trained models for natural language processing: A survey

WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers

LayoutLM: Pre-training of Text and Layout for Document Image Understanding

Image as a Foreign Language: BEiT Pretraining for All Vision and
  Vision-Language Tasks

LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding

Pseudo-Masked Language Models for Unified Language Model Pre-Training

VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts


FlexFlow Serve: Low-Latency, High-Performance LLM Serving

Unity: Accelerating DNN Training Through Joint Optimization of Algebraic Transformations and Parallelization

USENIX Symposium on Operating Systems Design and Implementation

SpecInfer: Accelerating Generative Large Language Model Serving with
  Speculative Inference and Token Tree Verification

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

Understanding LLMs: A Comprehensive Overview from Training to Inference


The MongoDB Database

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Database : the journal of biological databases and curation

dictyExpress: a web-based platform for sequence data management and analytics in Dictyostelium and beyond

Automated system performance testing at MongoDB

Proceedings of the workshop on Testing Database Systems

eXtreme Modelling in Practice

Linking Extragalactic Transients and Their Host Galaxy Properties: Transient Sample, Multiwavelength Host Identification, and Database Construction

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

Formal verification of a distributed dynamic reconfiguration protocol

Priority-Driven Differentiated Performance for NoSQL Database-as-a-Service

Design and Analysis of a Logless Dynamic Reconfiguration Protocol

Stop Words for Processing Software Engineering Documents: Do they Matter?

The XENON1T Data Distribution and Processing Scheme


An end-to-end PyTorch framework for image and video classification

Squeeze-and-Excitation Networks

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

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Decoupled Weight Decay Regularization

mixup: Beyond Empirical Risk Minimization

Exploring the Limits of Weakly Supervised Pretraining

Large Batch Training of Convolutional Networks

Fast and Accurate Model Scaling

Prescriptive and Descriptive Approaches to Machine-Learning Transparency

EXTENDED ABSTRACTS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2022


functorch is JAX-like composable function transforms for PyTorch.

End-to-end symbolic regression with transformers

Theseus: A Library for Differentiable Nonlinear Optimization

Equinox: neural networks in JAX via callable PyTrees and filtered
  transformations

Diffusion Models for Causal Discovery via Topological Ordering

Diagnosing and Fixing Manifold Overfitting in Deep Generative Models

MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction With Neural ODEs

Uncertainty Estimation for Computed Tomography with a Linearised Deep
  Image Prior

Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor
  Attacks in Federated Learning

Neural Implicit Manifold Learning for Topology-Aware Density Estimation

Nystrom Method for Accurate and Scalable Implicit Differentiation


Automated modeling and machine learning framework FEDOT

Automated evolutionary approach for the design of composite machine learning pipelines

Towards Generative Design of Computationally Efficient Mathematical Models with Evolutionary Learning

Hybrid and Automated Machine Learning Approaches for Oil Fields Development: the Case Study of Volve Field, North Sea

Short-Term River Flood Forecasting Using Composite Models and Automated Machine Learning: The Case Study of Lena River

Multi-Objective Evolutionary Design of Composite Data-Driven Models

Automated data-driven approach for gap filling in the time series using evolutionary learning

Model-agnostic multi-objective approach for the evolutionary discovery
  of mathematical models


Expanding natural instructions

Beyond the Imitation Game: Quantifying and extrapolating the
  capabilities of language models

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Instruction Tuning for Large Language Models: A Survey

Understanding LLMs: A Comprehensive Overview from Training to Inference

TADIS: Steering Models for Deep-Thinking about Demonstration Examples


Analyzes resource usage and performance characteristics of running containers.

Monitoring self-adaptive applications within edge computing frameworks: A state-of-the-art review

Journal of systems and software/The Journal of systems and software

Horizontal Pod Autoscaling in Kubernetes for Elastic Container Orchestration

An IoT Platform Based on Microservices and Serverless Paradigms for Smart Farming Purposes

UTM-Chain: Blockchain-Based Secure Unmanned Traffic Management for Internet of Drones

Cloud resource orchestration in the multi-cloud landscape: a systematic review of existing frameworks

Hybrid Clouds for Data-Intensive, 5G-Enabled IoT Applications: An Overview, Key Issues and Relevant Architecture

Observability and chaos engineering on system calls for containerized applications in Docker

HEATS: Heterogeneity- and Energy-Aware Task-based Scheduling

The Softwarised Network Data Zoo

TEEMon: A continuous performance monitoring framework for TEEs


Pysam is a Python package for reading, manipulating, and writing genomics data such as SAM/BAM/CRAM and VCF/BCF files. It's a lightweight wrapper of the HTSlib API, the same one that powers samtools, bcftools, and tabix.

NanoPack: visualizing and processing long-read sequencing data

BlobToolKit – Interactive Quality Assessment of Genome Assemblies

A phased SNP-based classification of sickle cell anemia HBB haplotypes

Highly rearranged chromosomes reveal uncoupling between genome topology and gene expression

WhatsHap: fast and accurate read-based phasing

GuideScan software for improved single and paired CRISPR guide RNA design

Profiling the genome-wide landscape of tandem repeat expansions

Plastid: nucleotide-resolution analysis of next-generation sequencing and genomics data

A New Phylogenetic Framework for the Animal-Adapted Mycobacterium tuberculosis Complex

DeepC: predicting 3D genome folding using megabase-scale transfer learning


A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning

Predicting Heart Cell Types by Using Transcriptome Profiles and a Machine Learning Method

Identification of Genes Associated with the Impairment of Olfactory and Gustatory Functions in COVID-19 via Machine-Learning Methods

Development and validation of a difficult laryngoscopy prediction model using machine learning of neck circumference and thyromental height

ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation

System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data

Identifying MicroRNA Markers That Predict COVID-19 Severity Using Machine Learning Methods

gundapusunil at SemEval-2020 Task 8: Multimodal Memotion Analysis

Identifying Methylation Signatures and Rules for COVID-19 With Machine Learning Methods

Detection of Reading Absorption in User-Generated Book Reviews: Resources Creation and Evaluation

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


GFDL's Flexible Modeling System

CPMIP: measurements of real computational performance of Earth system models in CMIP6


OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.

Baichuan 2: Open Large-scale Language Models

MMBench: Is Your Multi-modal Model an All-around Player?

mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with
  Modality Collaboration

Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for
  Multi-modal Large Language Models

TrustLLM: Trustworthiness in Large Language Models

An Open Source Data Contamination Report for Large Language Models

A Comprehensive Study of Knowledge Editing for Large Language Models

GPT-Fathom: Benchmarking Large Language Models to Decipher the
  Evolutionary Path towards GPT-4 and Beyond

LawBench: Benchmarking Legal Knowledge of Large Language Models


This is the stress-ng upstream project git repository.  stress-ng will stress test a computer system in various selectable ways. It was designed to exercise various physical subsystems of a computer as well as the various operating system kernel interfaces.

Performance and Energy Trade-Offs for Parallel Applications on Heterogeneous Multi-Processing Systems

Clock Synchronization in Virtualized Distributed Real-Time Systems Using IEEE 802.1AS and ACRN

Experimental Analysis in Hadoop MapReduce: A Closer Look at Fault Detection and Recovery Techniques

Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention

Real-time performance assessment using fast interrupt request on a standard Linux kernel

Idleness-Aware Dynamic Power Mode Selection on the i.MX 7ULP IoT Edge Processor

Journal of low power electronics and applications

WattScope: Non-intrusive application-level power disaggregation in datacenters


This repo includes ChatGPT prompt curation to use ChatGPT better.

Orca: Progressive Learning from Complex Explanation Traces of GPT-4

ChatGPT: A Meta-Analysis after 2.5 Months

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

G3Detector: General GPT-Generated Text Detector

Effective Prompt Extraction from Language Models

Talkin' 'Bout AI Generation: Copyright and the Generative-AI Supply
  Chain

On the Detectability of ChatGPT Content: Benchmarking, Methodology, and Evaluation through the Lens of Academic Writing

ChatGPT: Understanding Code Syntax and Semantics

Prompting Frameworks for Large Language Models: A Survey

SEED: Domain-Specific Data Curation With Large Language Models


An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization

Towards Total Recall in Industrial Anomaly Detection

DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection

CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows

Anomaly Detection via Reverse Distillation from One-Class Embedding

FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows

Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection

Student-Teacher Feature Pyramid Matching for Anomaly Detection

CFA: Coupled-Hypersphere-Based Feature Adaptation for Target-Oriented Anomaly Localization


Conversion between Traditional and Simplified Chinese

Analogical Reasoning on Chinese Morphological and Semantic Relations

MLQA: Evaluating Cross-lingual Extractive Question Answering

Adversarial Training for Unsupervised Bilingual Lexicon Induction

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

A Span-Extraction Dataset for Chinese Machine Reading Comprehension

Empirical Methods in Natural Language Processing

Earth Mover's Distance Minimization for Unsupervised Bilingual Lexicon Induction

DRCD: a Chinese Machine Reading Comprehension Dataset

A Report on the Third VarDial Evaluation Campaign

NL-Augmenter: A Framework for Task-Sensitive Natural Language
  Augmentation

ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation

The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking


QUDA is a library for performing calculations in lattice QCD on GPUs.

A per-cent-level determination of the nucleon axial coupling from quantum chromodynamics

Towards grounding nuclear physics in QCD

Progress in particle and nuclear physics

A Framework for Lattice QCD Calculations on GPUs

International Parallel and Distributed Processing Symposium

Two-nucleon S -wave interactions at the SU(3) flavor-symmetric point with mud≈ msphys: A first lattice QCD calculation with the stochastic Laplacian Heaviside method

Evaluation of disconnected quark loops for hadron structure using GPUs

FK /Fπ from Möbius domain-wall fermions solved on gradient-flowed HISQ ensembles

CL2QCD - Lattice QCD based on OpenCL

Simulating the Weak Death of the Neutron in a Femtoscale Universe with Near-Exascale Computing

Scale setting the Möbius domain wall fermion on gradient-flowed HISQ action using the omega baryon mass and the gradient-flow scales t0 and w0

Status of Lattice QCD Determination of Nucleon Form Factors and Their Relevance for the Few-GeV Neutrino Program

Annual review of nuclear and particle science


A flexible framework of neural networks for deep learning

Chainer: a Next-Generation Open Source Framework for Deep Learning

Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy

Shakedrop Regularization for Deep Residual Learning

Dynamic Evaluation of Neural Sequence Models

Laser-Based Reactive Navigation for Multirotor Aerial Robots using Deep Reinforcement Learning

Comparison of Grapheme-to-Phoneme Conversion Methods on a Myanmar Pronunciation Dictionary

International Conference on Computational Linguistics

Classifying the pole of an amplitude using a deep neural network

Model independent analysis of coupled-channel scattering: A deep learning approach

Classifying Near-Threshold Enhancement Using Deep Neural Network

Dynamic Input Structure and Network Assembly for Few-Shot Learning


A large scale non-linear optimization library

Omni-Swarm: A Decentralized Omnidirectional Visual–Inertial–UWB State Estimation System for Aerial Swarms

Exploring Event Camera-based Odometry for Planetary Robots

Efficient and Consistent Bundle Adjustment on Lidar Point Clouds

From the Desks of ROS Maintainers: A Survey of Modern & Capable Mobile
  Robotics Algorithms in the Robot Operating System 2

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

Contour Context: Abstract Structural Distribution for 3D LiDAR Loop Detection and Metric Pose Estimation

External Camera-Based Mobile Robot Pose Estimation for Collaborative Perception with Smart Edge Sensors

Intact Planar Abstraction of Buildings via Global Normal Refinement from Noisy Oblique Photogrammetric Point Clouds

ISPRS international journal of geo-information

Edge-Based Monocular Thermal-Inertial Odometry in Visually Degraded Environments

SR-LIO: LiDAR-Inertial Odometry with Sweep Reconstruction


Public development project of the LAMMPS MD software package

Assessment and optimization of the fast inertial relaxation engine (FIRE) for energy minimization in atomistic simulations and its implementation in LAMMPS

AiiDAlab – an ecosystem for developing, executing, and sharing scientific workflows

Introduction to Building Procurement

Better Data Labelling With EMBLEM (and how that Impacts Defect Prediction)

Nano-topology optimization for materials design with atom-by-atom control

Scaling the Leading Accuracy of Deep Equivariant Models to Biomolecular Simulations of Realistic Size

Rapid Exploration of Optimization Strategies on Advanced Architectures using TestSNAP and LAMMPS.

The Anomalous Behavior of Thermodynamic Parameters in the Three Widom Deltas of Carbon Dioxide-Ethanol Mixture

International journal of molecular sciences

Spectral estimation from simulations via sketching

Instantaneous normal modes of glass-forming liquids during the athermal
  relaxation process of the steepest descent algorithm


Mirror of the Quantum ESPRESSO repository. Please do not post Issues or pull requests here. Use gitlab.com/QEF/q-e instead.

Advanced capabilities for materials modelling with Quantum ESPRESSO

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

Equilibrium and out-of-equilibrium realistic phonon self-energy free from overscreening

Collective dipole effects in ionic transport under electric fields

Electron--phonon interaction without overscreening: a strategy for
  first--principles modelling


Hyperledger Aries is infrastructure for blockchain-rooted, peer-to-peer interactions

A Survey on Blockchain Interoperability: Past, Present, and Future Trends

Privacy and Trust Redefined in Federated Machine Learning

Machine learning and knowledge extraction

Self-Sovereign Identity: A Systematic Review, Mapping and Taxonomy

A Distributed Trust Framework for Privacy-Preserving Machine Learning

Full-text Search for Verifiable Credential Metadata on Distributed Ledgers

Self-Sovereign Identity als Grundlage für universell einsetzbare digitale Identitäten

A Decentralized Identity-Based Blockchain Solution for Privacy-Preserving Licensing of Individual-Controlled Data to Prevent Unauthorized Secondary Data Usage

A Tutorial on the Interoperability of Self-sovereign Identities

Self-Sovereign Identity: A Systematic Map and Review.

Interoperable Selbstsouveräne Identitäten: Ein Digital Markets Act für Endnutzer?


Validator for the Brain Imaging Data Structure

A 204-subject multimodal neuroimaging dataset to study language processing

ASL-BIDS, the brain imaging data structure extension for arterial spin labeling

BIDS-EEG: an extension to the Brain Imaging Data Structure (BIDS) Specification for electroencephalography

Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film

Microscopy-BIDS: An Extension to the Brain Imaging Data Structure for Microscopy Data

MEG-MASC: a high-quality magneto-encephalography dataset for evaluating
  natural speech processing

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

The Past, Present, and Future of the Brain Imaging Data Structure (BIDS)

Hierarchical Event Descriptor library schema for EEG data annotation


<⚡> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

Agents: An Open-source Framework for Autonomous Language Agents

Balancing Autonomy and Alignment: A Multi-Dimensional Taxonomy for
  Autonomous LLM-powered Multi-Agent Architectures

Prompting Frameworks for Large Language Models: A Survey

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

Formally Specifying the High-Level Behavior of LLM-Based Agents


Online machine learning in Python

Green AI

River: machine learning for streaming data in Python

pyWATTS: Python Workflow Automation Tool for Time Series

PySAD: A Streaming Anomaly Detection Framework in Python

Incremental Learning Techniques for Online Human Activity Recognition

SAM-kNN Regressor for Online Learning in Water Distribution Networks


Gaussian processes framework in python

Constrained Efficient Global Optimization of Expensive Black-box
  Functions

Gaussian Processes for Big Data

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

Data‐Driven Materials Science: Status, Challenges, and Perspectives

BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization

Single cell transcriptomics of regulatory T cells reveals trajectories of tissue adaptation

QuEst - A translation quality estimation framework

Meeting of the Association for Computational Linguistics

Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics

Neural Tangents: Fast and Easy Infinite Neural Networks in Python

On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems


NLTK Source

PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization

Generating Expressions that Refer to Visible Objects

North American Chapter of the Association for Computational Linguistics

Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization

Udapi: Universal API for Universal Dependencies

BNLP: Natural language processing toolkit for Bengali language

FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning

DivGAN: Towards Diverse Paraphrase Generation via Diversified Generative Adversarial Network

Syntactic Recurrent Neural Network for Authorship Attribution

Improving the Performance of Automated Audio Captioning via Integrating
  the Acoustic and Semantic Information

Automated detection of discourse segment and experimental types from the text of cancer pathway results sections

Database : the journal of biological databases and curation


The RWTH extensible training framework for universal recurrent neural networks

Improved training of end-to-end attention models for speech recognition

RWTH ASR Systems for LibriSpeech: Hybrid vs Attention

RETURNN as a Generic Flexible Neural Toolkit with Application to Translation and Speech Recognition

RETURNN: The RWTH Extensible Training framework for Universal Recurrent
  Neural Networks

A Comparative Study on End-to-end Speech to Text Translation

You Do Not Need More Data: Improving End-To-End Speech Recognition by Text-To-Speech Data Augmentation

International Congress on Image and Signal Processing

End-to-End Speech Recognition: A Survey

Albayzin 2018 Evaluation: The IberSpeech-RTVE Challenge on Speech Technologies for Spanish Broadcast Media

Librispeech Transducer Model with Internal Language Model Prior Correction

Tight Integrated End-to-End Training for Cascaded Speech Translation


hydra

Sparks of Artificial General Intelligence: Early experiments with GPT-4

CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment

Intrusion Detection using Network Traffic Profiling and Machine Learning for IoT

PROCEEDINGS OF THE 2021 IEEE 7TH INTERNATIONAL CONFERENCE ON NETWORK SOFTWARIZATION (NETSOFT 2021): ACCELERATING NETWORK SOFTWARIZATION IN THE COGNITIVE AGE

Vulnerabilities in IoT Devices for Smart Home Environment

PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS SECURITY AND PRIVACY (ICISSP)

In Search of netUnicorn: A Data-Collection Platform to Develop Generalizable ML Models for Network Security Problems

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security


Zuul is a gateway service that provides dynamic routing, monitoring, resiliency, security, and more.

Circuit Breakers, Discovery, and API Gateways in Microservices

A model-driven approach for continuous performance engineering in microservice-based systems

Journal of systems and software/The Journal of systems and software

One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-Off in Machine Learning Cloud Service APIs via Tolerance Tiers

International Symposium on Performance Analysis of Systems and Software

Microservice Architecture Practices and Experience: a Focused Look on
  Docker Configuration Files


Python Imaging Library (Fork)

fastai: A Layered API for Deep Learning

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

Satellite Image Super-Resolution via Multi-Scale Residual Deep Neural Network

MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare

Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions

Quantifying cellulose accessibility during enzyme-mediated deconstruction using 2 fluorescence-tagged carbohydrate-binding modules

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

TorchGeo: Deep Learning With Geospatial Data

APERO: A PipelinE to Reduce Observations -- Demonstration with SPIRou

Automated rapid & intelligent microplastics mapping by FTIR microscopy: A Python–based workflow

ModelHub.AI: Dissemination Platform for Deep Learning Models


Repository of yara rules

Query-Efficient Black-Box Attack Against Sequence-Based Malware Classifiers

Machine Learning Framework to Analyze IoT Malware Using ELF and Opcode Features

Packer Detection for Multi-Layer Executables Using Entropy Analysis

Against All Odds: Winning the Defense Challenge in an Evasion
  Competition with Diversification

ChatIDS: Explainable Cybersecurity Using Generative AI

MVDroid: an android malicious VPN detector using neural networks

Towards practical intrusion detection system over encrypted traffic*

Assessing the Effectiveness of YARA Rules for Signature-Based Malware
  Detection and Classification


HydroShare is a collaborative website for better access to data and models in the hydrologic sciences.


The official Python library for the OpenAI API

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

Qwen Technical Report

Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions
  about Code

OpenAgents: An Open Platform for Language Agents in the Wild

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

Large language models can rate news outlet credibility

Qwen-Audio: Advancing Universal Audio Understanding via Unified
  Large-Scale Audio-Language Models

UniHD at TSAR-2022 Shared Task: Is Compute All We Need for Lexical Simplification?

Harnessing LLMs in Curricular Design: Using GPT-4 to Support Authoring
  of Learning Objectives

Artificial Intelligence in Medical Education: Comparative Analysis of ChatGPT, Bing, and Medical Students in Germany


Build context-aware reasoning applications

Visual Instruction Tuning

Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation
  Models

The Rise and Potential of Large Language Model Based Agents: A Survey

MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reasoning with Language Model Prompting: A Survey

ChemCrow: Augmenting large-language models with chemistry tools

AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking
  Head

MEGA: Multilingual Evaluation of Generative AI

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language
  Models' Alignment

ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via
  Tool Embeddings


bike sharing + python = pybikes


飞桨大模型开发套件，提供大语言模型、跨模态大模型、生物计算大模型等领域的全流程开发工具链。

Improving Language Understanding by Generative Pre-Training

Mixed Precision Training

GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism

Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

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

Local SGD Converges Fast and Communicates Little

Large Batch Optimization for Deep Learning: Training BERT in 76 minutes

Large Batch Training of Convolutional Networks

ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization


WebUI extension for ControlNet

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image
  Diffusion Models

Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model

MagicAnimate: Temporally Consistent Human Image Animation using
  Diffusion Model

FABRIC: Personalizing Diffusion Models with Iterative Feedback

MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion


Interchain Standards (ICS) for the Cosmos network & interchain ecosystem.

A Survey on Blockchain Interoperability: Past, Present, and Future Trends

A New Consensus Protocol for Blockchain Interoperability Architecture

The Interblockchain Communication Protocol: An Overview

Distributed Edge Computing with Blockchain Technology to Enable Ultra-Reliable Low-Latency V2X Communications

TrustBoost: Boosting Trust among Interoperable Blockchains

Analyzing the Performance of the Inter-Blockchain Communication Protocol

Interchain Timestamping for Mesh Security


Tool Shed repositories maintained by the Intergalactic Utilities Commission

The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update

NanoGalaxy: Nanopore long-read sequencing data analysis in Galaxy

Genomic Diversity across Candida auris Clinical Isolates Shapes Rapid Development of Antifungal Resistance In Vitro and In Vivo

MetaDEGalaxy: Galaxy workflow for differential abundance analysis of 16s metagenomic data

Galaxy-SynBioCAD: Automated Pipeline for Synthetic Biology Design and Engineering

Impact of Porcine Arterivirus, Influenza B, and Their Coinfection on Antiviral Response in the Porcine Lung

Dynamics of maternal gene expression in Rhodnius prolixus

The Complete Mitochondrial Genome of Two Armored Catfish Populations of the Genus Hypostomus (Siluriformes, Loricariidae, Hypostominae)

A SARS-CoV-2 sequence submission tool for the European Nucleotide Archive

Chromosome-level genome assembly of Lilford's wall lizard, Podarcis lilfordi (Günther, 1874) from the Balearic Islands (Spain).


Low-level data processing pipeline software for the Cherenkov Telescope Array

Gammapy - A prototype for the CTA science tools

Studying Deep Convolutional Neural Networks With Hexagonal Lattices for Imaging Atmospheric Cherenkov Telescope Event Reconstruction

Reconstruction of stereoscopic CTA events using deep learning with CTLearn

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

Prototype Open Event Reconstruction Pipeline for the Cherenkov Telescope Array

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

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

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

Provenance as a requirement for large-scale complex astronomical instruments

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

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

Ground-based and Airborne Instrumentation for Astronomy VIII


A CNI meta-plugin for multi-homed pods in Kubernetes

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

SDN-Based Network Slicing Mechanism for a Scalable 4G/5G Core Network: A Kubernetes Approach

Megalos: A Scalable Architecture for the Virtualization of Large Network Scenarios

Architecture Integration of 5G Networks and Time-Sensitive Networking with Edge Computing for Smart Manufacturing

Trater Press: revista del tratamiento térmico

Performance Isolation for Network Slices in Industry 4.0: The 5Growth Approach

Efficient Network Slicing with SDN and Heuristic Algorithm for Low Latency Services in 5G/B5G Networks

KuberneTSN: a Deterministic Overlay Network for Time-Sensitive Containerized Environments


Mobile Security Framework (MobSF) is an automated, all-in-one mobile application (Android/iOS/Windows) pen-testing, malware analysis and security assessment framework capable of performing static and dynamic analysis.

An Empirical Assessment of Global COVID-19 Contact Tracing Applications

A privacy and security analysis of early-deployed COVID-19 contact tracing Android apps

A Survey of Practical Formal Methods for Security

Betrayed by the Guardian: Security and Privacy Risks of Parental Control Solutions

Asia-Pacific Computer Systems Architecture Conference

Let the Cat out of the Bag: Popular Android IoT Apps under Security Scrutiny

A Multi-Tier Security Analysis of Official Car Management Apps for Android

CamBench -- Cryptographic API Misuse Detection Tool Benchmark Suite


Reverse engineering and pentesting for Android applications

MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models (Extended Version)

Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection

Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection

IEEE transactions on information forensics and security

StoryDroid: Automated Generation of Storyboard for Android Apps

An Analysis of Pre-installed Android Software

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

Picking on the family: Disrupting android malware triage by forcing misclassification

Understanding IoT Security Through the Data Crystal Ball: Where We Are Now and Where We Are Going to Be.

A Framework for Enhancing Deep Neural Networks Against Adversarial Malware

IEEE transactions on network science and engineering

A Study on the Vulnerabilities of Mobiles Apps associated with Software Modules


Official git repository for Biopython (originally converted from CVS)

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

A deep learning approach to programmable RNA switches

The evolution of a counter-defense mechanism in a virus constrains its host range

Knowledge-enhanced biomedical named entity recognition and normalization: application to proteins and genes

Amplification of overlapping DNA amplicons in a single-tube multiplex PCR for targeted next-generation sequencing of BRCA1 and BRCA2

An integrated pipeline for mammalian genetic screening

Eukaryotic initiation factor EIF-3.G augments mRNA translation efficiency to regulate neuronal activity

AX Semantics’ Submission to the CoNLL–SIGMORPHON 2018 Shared Task

Allosteric Inter-Domain Contacts in Bacterial Hsp70 Are Located in Regions That Avoid Insertion and Deletion Events

International journal of molecular sciences

Establishing comprehensive quaternary structural proteomes from genome sequence


Technical specifications for the libp2p networking stack

Design and evaluation of IPFS

SIGCOMM '22: PROCEEDINGS OF THE 2022 ACM SIGCOMM 2022 CONFERENCE

Security Review of Ethereum Beacon Clients

Decentralized Inverse Transparency with Blockchain

Distributed Ledger Technologies: Research and Practice

Formal Model-Driven Analysis of Resilience of GossipSub to Attacks from
  Misbehaving Peers


Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.

An Automatically Created Novel Bug Dataset and its Validation in Bug Prediction

Hazelcast Jet: Low-latency Stream Processing at the 99.99th Percentile

ESPBench: The Enterprise Stream Processing Benchmark

PROCEEDINGS OF THE ACM/SPEC INTERNATIONAL CONFERENCE ON PERFORMANCE ENGINEERING (ICPE '21)

FIXME: synchronize with database! An empirical study of data access self-admitted technical debt

An Elastic Middleware Platform for Concurrent and Distributed Cloud and MapReduce Simulations.

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


The code coverage tool for Python

The Impact of Pathway Database Choice on Statistical Enrichment Analysis and Predictive Modeling

ISSTA2023 Artifact for "Large Language Models Are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models"

Large Language Models are Edge-Case Fuzzers: Testing Deep Learning
  Libraries via FuzzGPT

Integration of Structured Biological Data Sources using Biological Expression Language

Fuzzing Automatic Differentiation in Deep-Learning Libraries

AmPyfier: Test amplification in Python

Modular software for real-time quantum control systems

Can It Edit? Evaluating the Ability of Large Language Models to Follow
  Code Editing Instructions

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

L2MAC: Large Language Model Automatic Computer for Extensive Code Generation


OpenEMS - Open Source Energy Management System

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

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


Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs.  Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

A Block Coordinate Descent Proximal Method for Simultaneous Filtering and Parameter Estimation

Full 4D Change Analysis of Topographic Point Cloud Time Series using Kalman Filtering

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

bioRxiv : the preprint server for biology

Feasibility of Video-based Sub-meter Localization on Resource-constrained Platforms


The main firmware for the Crazyflie Nano Quadcopter, Crazyflie Bolt Quadcopter and Roadrunner Positioning Tag.

An Open Source and Open Hardware Deep Learning-Powered Visual Navigation Engine for Autonomous Nano-UAVs

International Conference on Distributed Computing in Sensor Systems

Fully Onboard AI-Powered Human-Drone Pose Estimation on Ultralow-Power Autonomous Flying Nano-UAVs

An Efficient Real-Time NMPC for Quadrotor Position Control under Communication Time-Delay

Lighthouse Positioning System: Dataset, Accuracy, and Precision for UAV Research.

Land & Localize: An Infrastructure-free and Scalable Nano-Drones Swarm
  with UWB-based Localization

Latency-aware and -predictable Communication with Open Protocol Stacks for Remote Drone Control


Download market data from Yahoo! Finance's API

The CoRisk-Index: A Data-Mining Approach to Identify Industry-Specific Risk Assessments Related to COVID-19 in Real-Time

Neural Likelihoods via Cumulative Distribution Functions

Collective dynamics of stock market efficiency

Adversarial Attacks on Probabilistic Autoregressive Forecasting Models

Making sense of complex systems through resolution, relevance, and mapping entropy

Applications of Markov Decision Process Model and Deep Learning in Quantitative Portfolio Management during the COVID-19 Pandemic

A comparative study of the MACD-base trading strategies: evidence from
  the US stock market


A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

Visual Analytics for Explainable Deep Learning

NSML: A Machine Learning Platform That Enables You to Focus on Your Models

DeepDiagnosis: Automatically Diagnosing Faults and Recommending
  Actionable Fixes in Deep Learning Programs

Static Neural Compiler Optimization via Deep Reinforcement Learning

VizSeq: A Visual Analysis Toolkit for Text Generation Tasks

Empirical Methods in Natural Language Processing

PyText: A Seamless Path from NLP research to production

Patchnet: Interpretable Neural Networks for Image Classification


the package manager for JavaScript

PyCG: Practical Call Graph Generation in Python

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

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

A Review of Attacks Against Language-Based Package Managers


The official repository for the AiiDA code

AiiDA: automated interactive infrastructure and database for computational science

AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance

Workflows in AiiDA: Engineering a high-throughput, event-based engine for robust and modular computational workflows

A posteriori metadata from automated provenance tracking: integration of AiiDA and TCOD


cloc counts blank lines, comment lines, and physical lines of source code in many programming languages.

An Empirical Study of Fault Localization Families and Their Combinations

Deep Learning with Dynamic Computation Graphs

Joey NMT: A Minimalist NMT Toolkit for Novices

Toxic Code Snippets on Stack Overflow

IEEE transactions on software engineering

Keystone: An Open Framework for Architecting TEEs

Streaming graph challenge: Stochastic block partition

IEEE High Performance Extreme Computing Conference

Is this GitHub project maintained? Measuring the level of maintenance activity of open-source projects

Vadere: An open-source simulation framework to promote interdisciplinary understanding

Automated Unit Test Generation for Python

Symposium on Search Based Software Engineering

Identifying Unmaintained Projects in GitHub

PROCEEDINGS OF THE 12TH ACM/IEEE INTERNATIONAL SYMPOSIUM ON EMPIRICAL SOFTWARE ENGINEERING AND MEASUREMENT (ESEM 2018)


Behavior Trees Library in C++. Batteries included.

Behavior Trees in Robotics and AI: An Introduction

The Marathon 2: A Navigation System

A Survey of Behavior Trees in Robotics and AI

Behavior Trees in Action: A Study of Robotics Applications

On the Implementation of Behavior Trees in Robotics

International Conference on Robotics and Automation

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

Reactive Task Allocation and Planning for Quadrupedal and Wheeled Robot Teaming

Behavior Trees and State Machines in Robotics Applications

Formalizing the Execution Context of Behavior Trees for Runtime Verification of Deliberative Policies

HuNavSim: A ROS 2 Human Navigation Simulator for Benchmarking Human-Aware Robot Navigation


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

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

pvlib iotools—Open-source Python functions for seamless access to solar irradiance data

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


Fast C++ logging library.

A Survey on Automated Log Analysis for Reliability Engineering

Alchemist: An Apache Spark ⇔ MPI interface

kern

Shakespeare and National Identity : A Dictionary

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

Efficient Source Finding for Radio Interferometric Images

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

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

BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware

Running on Raygun

APTSHIELD: A Stable, Efficient and Real-time APT Detection System for
  Linux Hosts


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

Sui Lutris: A Blockchain Combining Broadcast and Consensus

Shoal: Improving DAG-BFT Latency And Robustness

Mitigation of liveness attacks in DAG-based ledgers

HammerHead: Leader Reputation for Dynamic Scheduling

Fairness Notions in DAG-based DLTs


The open-source tool for building high-quality datasets and computer vision models

ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes

E-Scooter Rider Detection and Classification in Dense Urban Environments

CPPE-5: Medical Personal Protective Equipment Dataset

The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces

Task Bias in Vision-Language Models

Adversarial Detection: Attacking Object Detection in Real Time

LSA-T: The first continuous Argentinian Sign Language dataset for Sign
  Language Translation

Closed-Chain Inverse Dynamics for the Biomechanical Analysis of Manual Material Handling Tasks through a Deep Learning Assisted Wearable Sensor Network

Multiperspective Teaching of Unknown Objects via Shared-gaze-based Multimodal Human-Robot Interaction

The Impact of Partial Occlusion on Pedestrian Detectability


Easily train a good VC model with voice data <= 10 mins!

FSD: An Initial Chinese Dataset for Fake Song Detection


Python module for quantum chemistry

Gaussian-based coupled-cluster theory for the ground state and band
  structure of solids

Open source molecular modeling

Journal of molecular graphics & modelling/Journal of molecular graphics and modelling

DMRG-CASPT2 study of the longitudinal static second hyperpolarizability of all-trans polyenes

A time-dependent formulation of multi-reference perturbation theory

Chemical Transformations Approaching Chemical Accuracy via Correlated Sampling in Auxiliary-Field Quantum Monte Carlo

Journal of chemical theory and computation

A Hybrid Classical/Quantum Approach for Large-Scale Studies of Quantum Systems with Density Matrix Embedding Theory

Enhancement of superexchange due to synergetic breathing and hopping in corner-sharing cuprates

Hilbert space renormalization for the many-electron problem

Density Matrix Embedding Theory and Strongly Correlated Lattice Systems


FinRL:  Financial Reinforcement Learning.

Practical Deep Reinforcement Learning Approach for Stock Trading

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

NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning

FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning

Reinforcement Learning and Bandits for Speech and Language Processing:
  Tutorial, Review and Outlook

DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture
  Fleeting Intraday Trading Opportunities

Dynamic Datasets and Market Environments for Financial Reinforcement
  Learning


LIEF - Library to Instrument Executable Formats

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

FirmwareDroid: Security Analysis of the Android Firmware EcoSystem


SmartThings open-source DeviceType Handlers and SmartApps code

TAPInspector: Safety and Liveness Verification of Concurrent Trigger-Action IoT Systems

A GQM Approach to Evaluation of the Quality of SmartThings Applications Using Static Analysis

Transactions on internet and information systems

Towards Practical Integrity in the Smart Home with HomeEndorser.

Helion: Enabling a Natural Perspective of Home Automation


Tensors and Dynamic neural networks in Python with strong GPU acceleration

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

Automatic differentiation in PyTorch

Decoupled Weight Decay Regularization

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

Spectral Normalization for Generative Adversarial Networks

SMASH: One-Shot Model Architecture Search through HyperNetworks

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

Quicksilver: Fast predictive image registration – A deep learning approach

Explainable Prediction of Medical Codes from Clinical Text

LOGAN: Membership Inference Attacks Against Generative Models


Tools to make an R developer's life easier

Netpredictor: R and Shiny package to perform drug-target network analysis and prediction of missing links

Defects in placental syncytiotrophoblast cells are a common cause of developmental heart disease

Exploring species-level infant gut bacterial biodiversity by meta-analysis and formulation of an optimized cultivation medium

A Framework for Reproducible, Interactive Research: Application to
  health and social sciences

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

Genomic analyses suggest strong population connectivity over large spatial scales of the commercially important baitworm, Australonuphis teres (Onuphidae)

TrenchR: An R package for modular and accessible microclimate and biophysical ecology

End-to-end pipeline for differential analysis of pausing in ribosome profiling data


Haskell source code suggestions

Teaching the art of functional programming using automated grading (experience report)

Proceedings of the ACM on programming languages

Engaging, Large-Scale Functional Programming Education in Physical and Virtual Space

A Linter for Isabelle: Implementation and Evaluation

Program Synthesis Using Example Propagation


PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Accelerating 3D Deep Learning with PyTorch3D

Mesh R-CNN

SynSin: End-to-end View Synthesis from a Single Image

Image GANs meet Differentiable Rendering for Inverse Graphics and
  Interpretable 3D Neural Rendering

NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild

MeshSDF: Differentiable Iso-Surface Extraction

Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows

GIF: Generative Interpretable Faces

Implicit Mesh Reconstruction from Unannotated Image Collections


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

TIMERS: Document-level Temporal Relation Extraction

Meeting of the Association for Computational Linguistics

Measurement Extraction with Natural Language Processing: A Review

Findings of the Association for Computational Linguistics: EMNLP 2022

A Hybrid Semantic Parsing Approach for Tabular Data Analysis

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

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

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

Proceedings of the AAAI Conference on Artificial Intelligence

CNTLS: A Benchmark Dataset for Abstractive or Extractive Chinese
  Timeline Summarization

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

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


the TCPdump network dissector

A Quantitative Study of Security Bug Fixes of GitHub Repositories

VGX: Large-Scale Sample Generation for Boosting Learning-Based Software
  Vulnerability Analyses

How Far Have We Gone in Vulnerability Detection Using Large Language
  Models


Lightning Network Daemon ⚡

High Throughput Cryptocurrency Routing in Payment Channel Networks

Topological Analysis of Bitcoin's Lightning Network

Congestion Attacks in Payment Channel Networks

Privacy-Utility Tradeoffs in Routing Cryptocurrency over Payment Channel Networks

Proceedings of the ACM on measurement and analysis of computing systems

Blockchain-Based Payment Channel Networks: Challenges and Recent Advances

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

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

LNBot: A Covert Hybrid Botnet on Bitcoin Lightning Network for Fun and
  Profit

On the Impact of Attachment Strategies for Payment Channel Networks

Enabling Micro-payments on IoT Devices using Bitcoin Lightning Network


Jenkins automation server

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

SZZ unleashed: an open implementation of the SZZ algorithm - featuring example usage in a study of just-in-time bug prediction for the Jenkins project

Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation

A comprehensive study of bloated dependencies in the Maven ecosystem

IDEAL: An Open-Source Identifier Name Appraisal Tool

Towards a Geometry Automated Provers Competition

On the Use of Refactoring in Security Vulnerability Fixes: An Exploratory Study on Maven Libraries

Automated and Manual Testing in the Development of the Research Software RCE

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


This repository is for the legacy Mixed Reality Toolkit (MRTK) v2.  For the latest version of the MRTK please visit https://github.com/MixedRealityToolkit/MixedRealityToolkit-Unity

Augmented Reality as a Telemedicine Platform for Remote Procedural Training

Co-Designing a Real-Time Classroom Orchestration Tool to Support Teacher-AI Complementarity

Mobile Augmented Reality: User Interfaces, Frameworks, and Intelligence

Retargetable AR: Context-aware Augmented Reality in Indoor Scenes based on 3D Scene Graph

Accuracy and Repeatability Tests on HoloLens 2 and HTC Vive

Spatial Computing and Intuitive Interaction: Bringing Mixed Reality and Robotics Together

The Identification, Development, and Evaluation of BIM-ARDM: A BIM-Based AR Defect Management System for Construction Inspections

HoloLens 1 vs. HoloLens 2: Improvements in the New Model for Orthopedic Oncological Interventions

Merging real and virtual worlds: An analysis of the state of the art and practical evaluation of Microsoft Hololens

shARe-IT: Ad hoc Remote Troubleshooting through Augmented Reality

Conference on Computer Supported Cooperative Work


Stores documents used by the TensorFlow developer community

TF-Replicator: Distributed Machine Learning for Researchers

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

Survey on Software Tools that Implement Deep Learning Algorithms on Intel/x86 and IBM/Power8/Power9 Platforms

Supercomputing frontiers and innovations

Towards ML Engineering: A Brief History Of TensorFlow Extended (TFX)

GPU Accelerated Automatic Differentiation With Clad


DSPy: The framework for programming—not prompting—foundation models

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

Demonstrate-Search-Predict: Composing retrieval and language models for
  knowledge-intensive NLP

Cognitive Architectures for Language Agents

Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

DSPy: Compiling Declarative Language Model Calls into Self-Improving
  Pipelines

Diagnostic Reasoning Prompts Reveal the Potential for Large Language
  Model Interpretability in Medicine

DSPy Assertions: Computational Constraints for Self-Refining Language
  Model Pipelines


OpenSSF Scorecard - Security health metrics for Open Source

SoK: Taxonomy of Attacks on Open-Source Software Supply Chains

Do Software Security Practices Yield Fewer Vulnerabilities?

OpenSSF Scorecard: On the Path Toward Ecosystem-Wide Automated Security Metrics

Are Your Dependencies Code Reviewed?: Measuring Code Review Coverage in Dependency Updates

S3C2 Summit 2023-02: Industry Secure Supply Chain Summit


Rasterio reads and writes geospatial raster datasets

The Open Global Glacier Model (OGGM) v1.1

Squidpy: a scalable framework for spatial single cell analysis

Deep Learning Applied to Phenotyping of Biomass in Forages with UAV-Based RGB Imagery

atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series

Groundwater Withdrawal Prediction Using Integrated Multitemporal Remote Sensing Data Sets and Machine Learning

A Survey on Spatio-temporal Data Analytics Systems

A hydrography upscaling method for scale-invariant parametrization of distributed hydrological models

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

Mapping 20 Years of Urban Expansion in 45 Urban Areas of Sub-Saharan Africa

Deep Learning for Detection of Visible Land Boundaries from UAV Imagery


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

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

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

PyLabRobot: An Open-Source, Hardware Agnostic Interface for Liquid-Handling Robots and Accessories

bioRxiv : the preprint server for biology

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

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

Cross-Domain Evaluation of a Deep Learning-Based Type Inference System

Generative Type Inference for Python


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

Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions

Tacotron: Towards End-to-End Speech Synthesis

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

Generalized End-to-End Loss for Speaker Verification

Efficient Neural Audio Synthesis

MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

Parallel Wavegan: A Fast Waveform Generation Model Based on Generative Adversarial Networks with Multi-Resolution Spectrogram

WaveGrad: Estimating Gradients for Waveform Generation

FastSpeech: Fast, Robust and Controllable Text to Speech

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


Aleth – Ethereum C++ client, tools and libraries

Decentralized Applications: The Blockchain-Empowered Software System

sFuzz: An Efficient Adaptive Fuzzer for Solidity Smart Contracts

Empirically Analyzing Ethereum's Gas Mechanism

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

SPOC: Secure Payments for Outsourced Computations

TopoShot: uncovering Ethereum's network topology leveraging replacement transactions

PROCEEDINGS OF THE 2021 ACM INTERNET MEASUREMENT CONFERENCE, IMC 2021

Ethereum's Recursive Length Prefix in ACL2

Learning to Encode and Classify Test Executions

Aurora-Trinity: A Super-Light Client for Distributed Ledger Networks Extending the Ethereum Trinity Client

Vulnerability Analysis of Smart Contracts


Eclipse Mosquitto - An open source MQTT broker

SlowITe, a Novel Denial of Service Attack Affecting MQTT

SlowTT: A Slow Denial of Service against IoT Networks

MUP: Simplifying Secure Over-The-Air Update with MQTT for Constrained IoT Devices

MultiFuzz: A Coverage-Based Multiparty-Protocol Fuzzer for IoT Publish/Subscribe Protocols

A Performance Study on the Throughput and Latency of Zenoh, MQTT, Kafka,
  and DDS

Protocol State Machine Reverse Engineering with a Teaching-Learning Approach

ProvLight: Efficient Workflow Provenance Capture on the Edge-to-Cloud
  Continuum


A topic-centric list of HQ open datasets.

Forecasting: theory and practice

Data stream clustering: a review

Event-based Failure Prediction in Distributed Business Processes

YouTube AV 50K: An Annotated Corpus for Comments in Autonomous Vehicles

Artificial Intelligence and Natural Language

Era of Intelligent Systems in Healthcare

Network Structures of Collective Intelligence: The Contingent Benefits of Group Discussion

Technology investigation on time series classification and prediction

Case Study on Privacy-Aware Social Media Data Processing in Disaster Management

ISPRS international journal of geo-information

An investigation of licensing of datasets for machine learning based on
  the GQM model


Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

Deep Lake: a Lakehouse for Deep Learning

SCONNA: A Stochastic Computing Based Optical Accelerator for Ultra-Fast, Energy-Efficient Inference of Integer-Quantized CNNs

An Overview of the Data-Loader Landscape: Comparative Performance
  Analysis

Video Pre-trained Transformer: A Multimodal Mixture of Pre-trained
  Experts


OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic : Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

Deformable Convolutional Networks

EDVR: Video Restoration with Enhanced Deformable Convolutional Networks

BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond

BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment

Scene Text Image Super-Resolution in the Wild

GPT4Tools: Teaching Large Language Model to Use Tools via
  Self-instruction

Disentangling Hate in Online Memes

Texture Memory-Augmented Deep Patch-Based Image Inpainting

Prompting for Multimodal Hateful Meme Classification

AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancement


Intel® RealSense™ SDK

Intel RealSense Stereoscopic Depth Cameras

Kimera: From SLAM to spatial perception with 3D dynamic scene graphs

The international journal of robotics research

The Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth

Reduction of Pesticide Use in Fresh-Cut Salad Production through Artificial Intelligence

Helping the Blind to Get through COVID-19: Social Distancing Assistant Using Real-Time Semantic Segmentation on RGB-D Video

Safe physical HRI: Toward a unified treatment of speed and separation monitoring together with power and force limiting

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

Chemogenetic activation of nigrostriatal dopamine neurons in freely moving common marmosets

Toward Ergonomic Risk Prediction via Segmentation of Indoor Object Manipulation Actions Using Spatiotemporal Convolutional Networks

Automatic mapping of multiplexed social receptive fields by deep learning and GPU-accelerated 3D videography


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


Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies

Interactive All-Hex Meshing via Cuboid Decomposition

Robust Immersive Telepresence and Mobile Telemanipulation: NimbRo wins
  ANA Avatar XPRIZE Finals

mc-mujoco: Simulating Articulated Robots with FSM Controllers in MuJoCo

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

SplitStreams: A Visual Metaphor for Evolving Hierarchies

NimbRo Wins ANA Avatar XPRIZE Immersive Telepresence Competition: Human-Centric Evaluation and Lessons Learned

Running on Raygun

Improving graphics programming with shader tests

Instant Feedback Rapid Prototyping for GPU-Accelerated Computation, Manipulation, and Visualization of Multidimensional Data

International journal of biomedical imaging


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)

Proceedings of the ACM on programming languages

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

Polymorphic Type Inference for Dynamic Languages

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

Tools and Algorithms for the Construction and Analysis of Systems

Prisma : A Tierless Language for Enforcing Contract-client Protocols in Decentralized Applications

On using VeriFast, VerCors, Plural, and KeY to check object usage

Duplo: a framework for OCaml post-link optimisation

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


A collective list of free APIs

ToolAlpaca: Generalized Tool Learning for Language Models with 3000
  Simulated Cases

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

OpenAgents: An Open Platform for Language Agents in the Wild

Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning


RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.

Creating a Vocabulary for Data Privacy The First-Year Report of Data Privacy Vocabularies and Controls Community Group (DPVCG)

ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS: OTM 2019 CONFERENCES

Trusty URIs: Verifiable, Immutable, and Permanent Digital Artifacts for Linked Data

Meaningful Integration of Data from Heterogeneous Health Services and Home Environment Based on Ontology

Making Digital Artifacts on the Web Verifiable and Reliable

IEEE transactions on knowledge and data engineering

The role of software in science: a knowledge graph-based analysis of software mentions in PubMed Central

RDFFrames: Knowledge Graph Access for Machine Learning Tools

Knowledge-infused Learning for Entity Prediction in Driving Scenes

PROVIDING GEOGRAPHIC DATASETS AS LINKED DATA IN SDI

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

SPARQLing Database Queries from Intermediate Question Decompositions

GeoSPARQL 1.1: Motivations, Details and Applications of the Decadal Update to the Most Important Geospatial LOD Standard


Open Energy Dashboard (OED)


TensorFlow examples

Transport-based neural style transfer for smoke simulations

Can You Hear It? Backdoor Attacks via Ultrasonic Triggers

Litter Detection with Deep Learning: A Comparative Study

OpenBot: Turning Smartphones into Robots

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

Using Artificial Intelligence and IoT for Constructing a Smart Trash Bin

International Conference on Future Data and Security Engineering

Minicursos do XIV Encontro Unificado de Computação do Piauí (ENUCOMPI) e XI Simpósio de Sistemas de Informação (SINFO)

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

International Journal of Engineering, Science and Information Technology


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

AALpy: an active automata learning library

Sonata: Query-Driven Network Telemetry

SROS2: Usable Cyber Security Tools for ROS 2

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

Python Crypto Misuses in the Wild

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

Network Coding for Critical Infrastructure Networks

DynamiQ: Planning for Dynamics in Network Streaming Analytics Systems

Distributed Function Chaining with Anycast Routing

IoT-Scan: Network Reconnaissance for the Internet of Things


Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

Holistic Evaluation of Language Models

Generate rather than Retrieve: Large Language Models are Strong Context
  Generators

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Fine-Grained Human Feedback Gives Better Rewards for Language Model
  Training

What does BERT know about books, movies and music? Probing BERT for Conversational Recommendation

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations

100,000 Podcasts: A Spoken English Document Corpus

International Conference on Computational Linguistics

A Replication Study of Dense Passage Retriever

TREC 2020 Podcasts Track Overview

Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls


Open source platform for the machine learning lifecycle

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

Vamsa: Automated Provenance Tracking in Data Science Scripts

Management of Machine Learning Lifecycle Artifacts: A Survey

Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms

Sapsan: Framework for Supernovae Turbulence Modeling with Machine Learning

Tailored Uncertainty Estimation for Deep Learning Systems

Boolean Decision Rules for Reinforcement Learning Policy Summarisation


Modular data acquisition framework

A quantum engineer's guide to superconducting qubits

Computing with spin qubits at the surface code error threshold

Multiplexed quantum transport using commercial off-the-shelf CMOS at sub-kelvin temperatures

Quingo: A Programming Framework for Heterogeneous Quantum-Classical Computing with NISQ Features

Electron cascade for distant spin readout

Magnetic-field dependence of a Josephson traveling-wave parametric amplifier and integration into a high-field setup


DAOS Storage Stack (client libraries, storage engine, control plane)

DAOS: A Scale-Out High Performance Storage Stack for Storage Class Memory

Skyhook: Towards an Arrow-Native Storage System

Towards an Arrow-native Storage System


OpenFaaS - Serverless Functions Made Simple

Understanding Open Source Serverless Platforms: Design Considerations and Performance

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

QFaaS: A Serverless Function-as-a-Service Framework for Quantum
  Computing

Performance Evaluation of Serverless Edge Computing for Machine Learning Applications

Performance Evaluation of Open-Source Serverless Platforms for Kubernetes

Function-as-a-Service Benchmarking Framework

International Conference on Cloud Computing and Services Science

Intelligence-Endogenous Management Platform for Computing and Network Convergence


Google core libraries for Java

RefDiff: Detecting Refactorings in Version Histories

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

Learning Quick Fixes from Code Repositories

Incremental Consistency Guarantees for Replicated Objects

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

Darwinian Data Structure Selection

Timed k-Tail: Automatic Inference of Timed Automata

NullAway: Practical Type-Based Null Safety for Java

An empirical study on the impact of refactoring activities on evolving client-used APIs

Puncturable Signatures and Applications in Proof-of-Stake Blockchain Protocols


JavaScript library for mobile-friendly interactive maps

TriatoKey: a web and mobile tool for biodiversity identification of Brazilian triatomine species

Database : the journal of biological databases and curation

Machine learning for automatic detection of historic stone walls using LiDAR data

The Temporality of Disaster: Data, the Emergency, and Climate Change

FitsMap: A simple, lightweight tool for displaying interactive astronomical image and catalog data


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

What Makes a Good Commit Message?

Proceedings of the 44th International Conference on Software Engineering

The significance of bug report elements

Automated Identification of On-hold Self-admitted Technical Debt

AUGER: Automatically Generating Review Comments with Pre-training Models

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

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

On the Use of Mutation in Injecting Test Order-Dependency

CodeFuse-Query: A Data-Centric Static Code Analysis System for
  Large-Scale Organizations


Multi-Agent Transport Simulation

Overview of Software Agent Platforms Available in 2023

Using a Route-based and Vehicle Type specific Range Constraint for Improving Vehicle Routing Problems with Electric Vehicles

Introducing the eqasim pipeline: From raw data to agent-based transport simulation

Multi-Criteria, Co-Evolutionary Charging Behavior: An Agent-Based Simulation of Urban Electromobility

Modelling Bushfire Evacuation Behaviours

Flow-Inflated Selective Sampling for Efficient Agent-Based Dynamic Ride-Pooling Simulations


Magnificent app which corrects your previous console command.

CLAI: A Platform for AI Skills on the Command Line.

An empirical investigation of command-line customization

Project CLAI: Instrumenting the Command Line as a New Environment for AI Agents


Godot Engine – Multi-platform 2D and 3D game engine

Are game engines software frameworks? A three-perspective study

Journal of systems and software/The Journal of systems and software

Godot Reinforcement Learning Agents

An Exploratory Approach for Game Engine Architecture Recovery

Shedding Light on Software Engineering-specific Metaphors and Idioms

Game Engine Comparative Anatomy


A framework for few-shot evaluation of language models.

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

Large Language Models

Instruction Tuning for Large Language Models: A Survey

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

A Simple and Effective Pruning Approach for Large Language Models

Chain of Hindsight Aligns Language Models with Feedback

NaturalProver: Grounded Mathematical Proof Generation with Language
  Models


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/Astrophysical journal. Supplement series

Open Astronomy Catalogs API

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


GoogleTest - Google Testing and Mocking Framework

arXiv : iHixs 2 - Inclusive Higgs Cross Sections

ViSQOL v3: An Open Source Production Ready Objective Speech and Audio Metric

CRIMSON: An open-source software framework for cardiovascular integrated modelling and simulation

Mull it over: mutation testing based on LLVM

International Conference on Software Testing, Verification and Validation Workshops

Report of the HPC Correctness Summit, Jan 25--26, 2017, Washington, DC

Ginkgo: A high performance numerical linear algebra library

Efficient Lazy Theta* Path Planning over a Sparse Grid to Explore Large 3D Volumes with a Multirotor UAV

DCA++: A software framework to solve correlated electron problems with modern quantum cluster methods

Advances in Xmipp for Cryo–Electron Microscopy: From Xmipp to Scipion

QTRAJ 1.0: A Lindblad equation solver for heavy-quarkonium dynamics