A unified framework for privacy-preserving data analysis and machine learning

A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy

MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention

PFLlib: Personalized Federated Learning Algorithm Library

AIJack: Security and Privacy Risk Simulator for Machine Learning


Assemble, configure, and deploy autonomous AI Agents in your browser.

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

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

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

AgentBench: Evaluating LLMs as Agents

Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization

You Only Look at Screens: Multimodal Chain-of-Action Agents

SmartPlay: A Benchmark for LLMs as Intelligent Agents

Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents

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

Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow


Pangolin is a lightweight portable rapid development library for managing OpenGL display / interaction and abstracting video input.

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

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

SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM

Deep Patch Visual Odometry

cilantro: A Lean, Versatile, and Efficient Library for Point Cloud Data Processing

PROCEEDINGS OF THE 2018 ACM MULTIMEDIA CONFERENCE (MM'18)

Characterization and modeling of an edge computing mixed reality workload

Journal of Cloud Computing Advances Systems and Applications

Variant Analysis and Strategic Clustering to Sub-Lineage of Double Mutant Strain B.1.617 of SARS-CoV-2


Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

Pre-trained models for natural language processing: A survey

ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing

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

ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning

Entity-Based Knowledge Conflicts in Question Answering

Scaling Up Models and Data with  and

A New Generation of Perspective API: Efficient Multilingual Character-level Transformers

Charformer: Fast Character Transformers via Gradient-based Subword Tokenization

SciFive: a text-to-text transformer model for biomedical literature


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

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

Kosmos-2: Grounding Multimodal Large Language Models to the World

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

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


fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

Pre-trained models for natural language processing: A survey

FLAT: Chinese NER Using Flat-Lattice Transformer

Star-Transformer

A Unified Generative Framework for Various NER Subtasks

A Unified Generative Framework for Aspect-Based Sentiment Analysis

Searching for Effective Neural Extractive Summarization: What Works and What's Next

Graph Neural Networks Inspired by Classical Iterative Algorithms

A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing

BERT for Monolingual and Cross-Lingual Reverse Dictionary

A Practical Chinese Dependency Parser Based on A Large-scale Dataset


Java interface to OpenCV, FFmpeg, and more

ImageJ2: ImageJ for the next generation of scientific image data

Small Animal Video Tracking for Activity and Path Analysis Using a Novel Open-Source Multi-Platform Application (AnimApp)

LEAF + AIO: Edge-Assisted Energy-Aware Object Detection for Mobile Augmented Reality

Study of the Rolling Friction Coefficient between Dissimilar Materials through the Motion of a Conical Pendulum

IndoorCare: Low-Cost Elderly Activity Monitoring System through Image Processing

DenTiUS Plaque, a Web-Based Application for the Quantification of Bacterial Plaque: Development and Usability Study

An approach to vision-based localisation with binary features for partially sighted people

DiFace: A Face-based Video Retrieval System with Distributed Computing

American Journal of Systems and Software


R Interface to Python

ROC and AUC with a Binary Predictor: a Potentially Misleading Metric

scds: computational annotation of doublets in single-cell RNA sequencing data

Advances in spatial transcriptomic data analysis

scvi-tools: a library for deep probabilistic analysis of single-cell omics data

A Tidy Data Model for Natural Language Processing using cleanNLP

TAS-Seq is a robust and sensitive amplification method for bead-based scRNA-seq

Dynamic Changes in Uterine NK Cell Subset Frequency and Function Over the Menstrual Cycle and Pregnancy

Single-Cell Analysis Revealed the Role of CD8+ Effector T Cells in Preventing Cardioprotective Macrophage Differentiation in the Early Phase of Heart Failure

Lilikoi V2.0: a deep learning–enabled, personalized pathway-based R package for diagnosis and prognosis predictions using metabolomics data

The current state of single-cell proteomics data analysis


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


A python Linear Programming API

Volume-Optimal Cycle: Tightest Representative Cycle of a Generator in Persistent Homology

Sensitivity and spectral control of network lasers

Player Chemistry: Striving for a Perfectly Balanced Soccer Team

Faking feature importance: A cautionary tale on the use of differentially-private synthetic data

ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning

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

An outer-approximation guided optimization approach for constrained neural network inverse problems

A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games

Testing the Consistency of Performance Scores Reported for Binary Classification Problems

A matheuristic algorithm for the single-source capacitated facility location problem and its variants

Diddy: a Python toolbox for infinite discrete dynamical systems


JupyterLab computational environment.

Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI

Proceedings of the ACM on Human-Computer Interaction

How do Data Science Workers Collaborate? Roles, Workflows, and Tools

Goals, Process, and Challenges of Exploratory Data Analysis: An Interview Study

How Much Automation Does a Data Scientist Want?

Using Containers to Create More Interactive Online Training and Education Materials

Practice and Experience in Advanced Research Computing

Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community Infrastructure

JOVIAL: Notebook-based astronomical data analysis in the cloud

Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing

Essential tools of linear algebra for calculating nuclear spin dynamics of chemically exchanging systems

Notably Inaccessible — Data Driven Understanding of Data Science Notebook (In)Accessibility

Zenodo (CERN European Organization for Nuclear Research)


Kokkos C++ Performance Portability Programming Ecosystem: Math Kernels - Provides BLAS, Sparse BLAS and Graph Kernels

Multi-threaded Sparse Matrix-Matrix Multiplication for Many-Core and GPU Architectures

Kokkos Kernels: Performance Portable Sparse/Dense Linear Algebra and Graph Kernels

A Block-Based Triangle Counting Algorithm on Heterogeneous Environments

Sparse Matrix-Matrix Multiplication on Multilevel Memory Architectures : Algorithms and Experiments

Parallel Graph Coloring Algorithms for Distributed GPU Environments


A flexible, high-performance 3D simulator for Embodied AI research.

Habitat: A Platform for Embodied AI Research

Habitat 2.0: Training Home Assistants to Rearrange their Habitat

Occupancy Anticipation for Efficient Exploration and Navigation

A Survey on Human-aware Robot Navigation

Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots

SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic Learning

Multi-skill Mobile Manipulation for Object Rearrangement

Learning Navigational Visual Representations with Semantic Map Supervision

Map-merging Algorithms for Visual SLAM: Feasibility Study and Empirical Evaluation

Learning whom to trust in navigation: dynamically switching between classical and neural planning


Official repository of the OpenJPEG project

Smart Greybox Fuzzing

Lossy Compression of Multispectral Satellite Images with Application to Crop Thematic Mapping: A HEVC Comparative Study

Learning-Based Practical Light Field Image Compression Using A Disparity-Aware Model

Robust Deep Neural Object Detection and Segmentation for Automotive Driving Scenario with Compressed Image Data

International Symposium on Circuits and Systems

CRA5: Extreme Compression of ERA5 for Portable Global Climate and
  Weather Research via an Efficient Variational Transformer

Lightweight Joint Compression-Encryption-Authentication-Integrity Framework Based on Arithmetic Coding

BlinQS: Blind quality scalable image compression algorithm without using PCRD optimization


Sequential model-based optimization with a  `scipy.optimize` interface

Accelerated Hierarchical Density Based Clustering

The physiological effects of noninvasive brain stimulation fundamentally differ across the human cortex

ASNets: Deep Learning for Generalised Planning

Journal of Artificial Intelligence Research

HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

Composite Adversarial Attacks

ENTMOOT: A framework for optimization over ensemble tree models

DINCAE 2.0: multivariate convolutional neural network with error estimates to reconstruct sea surface temperature satellite and altimetry observations

Event generator tuning using Bayesian optimization

Robust Walking Based on MPC With Viability Guarantees

Hyper-parameter tuning of physics-informed neural networks: Application to Helmholtz problems


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

Critical Data Size of Language Models from a Grokking Perspective

HyperCLOVA X Technical Report


Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis

A review of bioinformatic pipeline frameworks

A single-cell survey of Drosophila blood

Type 1 conventional dendritic cells are systemically dysregulated early in pancreatic carcinogenesis

Estimating genotype error rates from high-coverage next-generation sequence data

Comprehensive Molecular Profiling Identifies FOXM1 as a Key Transcription Factor for Meningioma Proliferation

Mature Human White Adipocytes Cultured under Membranes Maintain Identity, Function, and Can Transdifferentiate into Brown-like Adipocytes

Cpipe: a shared variant detection pipeline designed for diagnostic settings

Wnt and Notch signaling govern self-renewal and differentiation in a subset of human glioblastoma stem cells

Multi-faceted epigenetic dysregulation of gene expression promotes esophageal squamous cell carcinoma

Molecular stratification of endometrioid ovarian carcinoma predicts clinical outcome


Analyzes resource usage and performance characteristics of running containers.

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

Horizontal Pod Autoscaling in Kubernetes for Elastic Container Orchestration

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

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

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

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

The Softwarised Network Data Zoo

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

Monitoring fog computing: A review, taxonomy and open challenges


paho.mqtt.python

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

Protocol State Machine Reverse Engineering with a Teaching-Learning Approach


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

Pendekatan Resampling Data Untuk Menangani Masalah Ketidakseimbangan Kelas

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

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

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)


Open data project for small-scale food growers


Parallel solvers for sparse linear systems featuring multigrid methods.

ExaWind: A multifidelity modeling and simulation environment for wind energy

PyAMG: Algebraic Multigrid Solvers in Python

Disks as Inhomogeneous, Anisotropic Gaussian Random Fields

Pressio: Enabling projection-based model reduction for large-scale nonlinear dynamical systems

Parallel performance of algebraic multigrid domain decomposition

Numerical Linear Algebra with Applications

Analysis of optimal preconditioners for CutFEM

Space-time hexahedral finite element methods for parabolic evolution problems

Parallel Performance of Algebraic Multigrid Domain Decomposition (AMG-DD)

Optimal preconditioners for a Nitsche stabilized fictitious domain finite element method

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


Inference Llama 2 in one file of pure C

Training Compute-Optimal Large Language Models

Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks

How Far Have We Gone in Stripped Binary Code Understanding Using Large
  Language Models

LLamol: A Dynamic Multi-Conditional Generative Transformer for De Novo Molecular Design

Large Language Model Inference Acceleration Based on Hybrid Model Branch Prediction


mimalloc is a compact general purpose allocator with excellent performance.

An analysis of concurrency control protocols for in-memory databases with CCBench

Flock: A Low-Cost Streaming Query Engine on FaaS Platforms

DuckDB-SGX2: The Good, The Bad and The Ugly within Confidential Analytical Query Processing

International Workshop on Data Management on New Hardware

Viewing Allocators as Bin Packing Solvers Demystifies Fragmentation


JAX-based neural network library

Deep Residual Learning for Image Recognition

Attention Is All You Need

Highly accurate protein structure prediction with AlphaFold

Flamingo: a Visual Language Model for Few-Shot Learning

IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

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

Competition-Level Code Generation with AlphaCode

Improving language models by retrieving from trillions of tokens

Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples


(Legacy project) A modular laboratory experiment management suite, predecessor to qudi-core.

Qudi: a modular python suite for experiment control and data processing

Nanodiamonds carrying silicon-vacancy quantum emitters with almost lifetime-limited linewidths

Optically detected magnetic resonance with an open source platform


Neural Network Compression Framework for enhanced OpenVINO™ inference

Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models

Neural Network Compression Framework for fast model inference

Shears: Unstructured Sparsity with Neural Low-rank Adapter Search


NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

The Deep Learning Compiler: A Comprehensive Survey

IEEE Transactions on Parallel and Distributed Systems

EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications

Heterogeneous Ground and Air Platforms, Homogeneous Sensing: Team CSIRO Data61's Approach to the DARPA Subterranean Challenge

Adopting the YOLOv4 Architecture for Low-Latency Multispectral Pedestrian Detection in Autonomous Driving

MQBench: Towards Reproducible and Deployable Model Quantization Benchmark

ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization

Inference-Optimized AI and High Performance Computing for Gravitational Wave Detection at Scale

Real-Time Monocular Human Depth Estimation and Segmentation on Embedded Systems

Fast-Tracker 2.0: Improving Autonomy of Aerial Tracking with Active Vision and Human Location Regression

Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale


Toolkit for creating, sharing and using natural language prompts.

Language Models are Few-Shot Learners

Finetuned Language Models Are Zero-Shot Learners

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

Multitask Prompted Training Enables Zero-Shot Task Generalization

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

Holistic Evaluation of Language Models

PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts

Discovering Latent Knowledge in Language Models Without Supervision

A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Rationale-Augmented Ensembles in Language Models


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

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

Scaling the leading accuracy of deep equivariant models to biomolecular simulations of realistic size

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

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

Anisotropic molecular coarse-graining by force and torque matching with neural networks

Hydrogen Diffusion in the Lower Mantle Revealed by Machine Learning Potentials

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


Seamless operability between C++11 and Python

CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)

Qulacs: a fast and versatile quantum circuit simulator for research purpose

starry: Analytic Occultation Light Curves

The gem5 Simulator: Version 20.0+

A parallel global multiobjective framework for optimization: pagmo

Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments

giotto-tda: A Topological Data Analysis Toolkit for Machine Learning and Data Exploration.

The DUNE Framework: Basic Concepts and Recent Developments

NetKet: A machine learning toolkit for many-body quantum systems

Deeptime: a Python library for machine learning dynamical models from time series data


YOLOv6: a single-stage object detection framework dedicated to industrial applications.

YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

YOLOv6 v3.0: A Full-Scale Reloading

A Systematic Review of Drone Based Road Traffic Monitoring System

Evaluation of YOLO Object Detectors for Weed Detection in Different Turfgrass Scenarios

EfficientRep:An Efficient Repvgg-style ConvNets with Hardware-aware Neural Network Design

A Novel YOLOv6 Object Detector for Monitoring Piling Behavior of Cage-Free Laying Hens

Fast and Non-Destructive Quail Egg Freshness Assessment Using a Thermal Camera and Deep Learning-Based Air Cell Detection Algorithms for the Revalidation of the Expiration Date of Eggs

Eye Recognition by YOLO for Inner Canthus Temperature Detection in the Elderly Using a Transfer Learning Approach

Intelligent Evaluation Method of Human Cervical Vertebra Rehabilitation Based on Computer Vision

Agricultural Object Detection with You Look Only Once (YOLO) Algorithm: A Bibliometric and Systematic Literature Review


Savoury implementation of the QUIC transport protocol and HTTP/3

An Early Benchmark of Quality of Experience Between HTTP/2 and HTTP/3 using Lighthouse

Revisiting QUIC attacks: a comprehensive review on QUIC security and a hands-on study

QUIC on the Highway: Evaluating Performance on High-rate Links

2023 IFIP Networking Conference (IFIP Networking)

A QUIC(K) Way Through Your Firewall?

QUIC Hunter: Finding QUIC Deployments and Identifying Server Libraries Across the Internet

Revisiting WiFi offloading in the wild for V2I applications

Safer at any speed: automatic context-aware safety enhancement for Rust

Proceedings of the ACM on Programming Languages

Evaluating the Benefits: Quantifying the Effects of TCP Options, QUIC, and CDNs on Throughput

Proceedings of the Applied Networking Research Workshop

PBQ-Enhanced QUIC: QUIC with Deep Reinforcement Learning Congestion Control Mechanism

MCQUIC: Multicast and unicast in a single transport protocol


NLP made easy

Attention Is All You Need

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

GloVe: Global Vectors for Word Representation

Empirical Methods in Natural Language Processing

UWB @ DIACR-Ita: Lexical Semantic Change Detection with CCA and Orthogonal Transformation

Convolutional Neural Networks for Sentence Classification

Deep contextualized word representations

Enriching Word Vectors with Subword Information

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Bag of Tricks for Efficient Text Classification

A Structured Self-attentive Sentence Embedding


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

TorchGeo: Deep Learning With Geospatial Data

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

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


Trust & Safety tools for working together to fight digital harms.

A Dataset of Fact-Checked Images Shared on WhatsApp During the Brazilian and Indian Elections

Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning

A First Look at COVID-19 Messages on WhatsApp in Pakistan

Characterising User Content on a Multi-lingual Social Network

Hamming distributions of popular perceptual hashing techniques

PDQ & TMK + PDQF -- A Test Drive of Facebook's Perceptual Hashing Algorithms

Detecting Misinformation on WhatsApp without Breaking Encryption.

Leveraging Semantic Relationships to Prioritise Indicators of Compromise in Additive Manufacturing Systems

WhatsApp Explorer: A Data Donation Tool To Facilitate Research on
  WhatsApp

Analyzing Misinformation Claims During the 2022 Brazilian General Election on WhatsApp, Twitter, and Kwai


RNA sequencing analysis pipeline using STAR, RSEM, HISAT2 or Salmon with gene/isoform counts and extensive quality control.

Longitudinal Multi-omics Analyses Identify Responses of Megakaryocytes, Erythroid Cells, and Plasmablasts as Hallmarks of Severe COVID-19

FMN reduces Amyloid-β toxicity in yeast by regulating redox status and cellular metabolism

Streamlining data-intensive biology with workflow systems

Lipid Nanoparticles Deliver the Therapeutic VEGFA mRNA In Vitro and In Vivo and Transform Extracellular Vesicles for Their Functional Extensions

The pollen virome of wild plants and its association with variation in floral traits and land use

Whole-genome Sequencing of Follicular Thyroid Carcinomas Reveal Recurrent Mutations in MicroRNA Processing Subunit DGCR8

The Journal of clinical endocrinology and metabolism

Distinctive exercise-induced inflammatory response and exerkine induction in skeletal muscle of people with type 2 diabetes

XPRESSyourself: Enhancing, standardizing, and automating ribosome profiling computational analyses yields improved insight into data

Adaptation of the emerging pathogenic yeast Candida auris to high caspofungin concentrations correlates with cell wall changes

The gut microbiota instructs the hepatic endothelial cell transcriptome


Proposed compiler and language changes for GHC and GHC/Haskell

A quick look at impredicativity

Higher-order type-level programming in Haskell

A role for dependent types in Haskell

Staging with class: a specification for typed template Haskell

Proceedings of the ACM on programming languages

Kinds are calling conventions

Kindly Bent to Free Us

Reasoning about the garden of forking paths

Daml: A Smart Contract Language for Securely Automating Real-World Multi-Party Business Workflows

A Role for Dependent Types in Haskell (Extended version)

A Specification for Typed Template Haskell


Official git repository of Elmer FEM software

Sensitivity of centennial mass loss projections of the Amundsen basin to the friction law

Comparison of adjoint and nudging methods to initialise ice sheet model basal conditions

Assimilation of surface observations in a transient marine ice sheet model using an ensemble Kalman filter

Melt at grounding line controls observed and future retreat of Smith, Pope, and Kohler Glaciers

Buoyant forces promote tidewater glacier iceberg calving through large basal stress concentrations

Dynamically coupling full Stokes and shallow shelf approximation for marine ice sheet flow using Elmer/Ice (v8.3)

Quantifying the effect of ocean bed properties on ice sheet geometry over 40 000 years with a full-Stokes model

Numerical modeling of the dynamics of the Mer de Glace glacier, French Alps: comparison with past observations and forecasting of near-future evolution

A new open-source viscoelastic solid earth deformation module implemented in Elmer (v8.4)

Neutral equilibrium and forcing feedbacks in marine ice sheet modelling


Open5GS is a C-language Open Source implementation for 5G Core and EPC, i.e. the core network of LTE/NR network (Release-17)

5G Campus Networks: A First Measurement Study

Tutorial on communication between access networks and the 5G core

Video on Demand Streaming Using RL-based Edge Caching in 5G Networks

FBSDetector: Fake Base Station and Multi Step Attack Detection in Cellular Networks using Machine Learning

P3LI5: Practical and confidEntial Lawful Interception on the 5G core


Perceptual video quality assessment based on multi-method fusion.

Spatiotemporal Feature Integration and Model Fusion for Full Reference Video Quality Assessment

ELF-VC: Efficient Learned Flexible-Rate Video Coding

Towards Perceptually Optimized End-to-end Adaptive Video Streaming

ProxIQA: A Proxy Approach to Perceptual Optimization of Learned Image Compression

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

Video Multimethod Assessment Fusion (VMAF) on 360VR Contents

IEEE transactions on consumer electronics

Recover Subjective Quality Scores from Noisy Measurements

Advances in Video Compression System Using Deep Neural Network: A Review and Case Studies

Subjective and Objective Quality Assessment of High Frame Rate Videos

NDNetGaming - development of a no-reference deep CNN for gaming video quality prediction

SENSEI: Aligning Video Streaming Quality with Dynamic User Sensitivity


Neural Network Libraries

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

AI Benchmark: Running Deep Neural Networks on Android Smartphones

Mixed Precision DNNs: All you need is a good parametrization

Differentiable Quantization of Deep Neural Networks.

Speech Synthesis and Control Using Differentiable DSP

Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives

Out-of-core Training for Extremely Large-Scale Neural Networks With Adaptive Window-Based Scheduling

Filter Pre-Pruning for Improved Fine-tuning of Quantized Deep Neural Networks


Survival analysis in Python

Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer

Explainable AI for Trees: From Local Explanations to Global Understanding

RNA polymerase III limits longevity downstream of TORC1

CONSTRAINING THE RADIO-LOUD FRACTION OF QUASARS ATz> 5.5

Protoplanetary Disks in rho Ophiuchus as Seen from ALMA

Contextual Explanation Networks

ALMA's Polarized View of 10 Protostars in the Perseus Molecular Cloud

A universal transcriptomic signature of age reveals the temporal scaling of Caenorhabditis elegans aging trajectories

Identification of Therapeutic Targets and Prognostic Biomarkers Among Integrin Subunits in the Skin Cutaneous Melanoma Microenvironment

Galaxies Probing Galaxies in PRIMUS. II. The Coherence Scale of the Cool Circumgalactic Medium


Apache Druid: a high performance real-time analytics database.

Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5

HyperLogLog: Exponentially Bad in Adversarial Settings

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

Using Distributed Representation of Code for Bug Detection

DJXPerf: Identifying Memory Inefficiencies via Object-Centric Profiling for Java

Ingestion, Indexing and Retrieval of High-Velocity Multidimensional Sensor Data on a Single Node

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


SymEngine is a fast symbolic manipulation library, written in C++

The deal.II finite element library: Design, features, and insights

Transcriptome-guided parsimonious flux analysis improves predictions with metabolic networks in complex environments

PyCFTBoot: A flexible interface for the conformal bootstrap

COMANDO: A Next-Generation Open-Source Framework for Energy Systems Optimization

Evolving interpretable plasticity for spiking networks

QuCAT: quantum circuit analyzer tool in Python

Investigating the potential for a limited quantum speedup on protein lattice problems

SymForce: Symbolic Computation and Code Generation for Robotics

Computing with B-series

On compact packings of the plane with circles of three radii


Industry-strength Computer Vision workflows with Keras

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

High-Resolution Image Synthesis with Latent Diffusion Models

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

Enhancement of VGG16 model with multi-view and spatial dropout for classification of mosquito vectors

DALib: A Curated Repository of Libraries for Data Augmentation in Computer Vision


Reformats Java source code to comply with Google Java Style.

Making the most of small Software Engineering datasets with modern machine learning

Evaluating the robustness of source code plagiarism detection tools to pervasive plagiarism-hiding modifications

Styler: learning formatting conventions to repair Checkstyle violations

MCRepair: Multi-Chunk Program Repair via Patch Optimization with Buggy Block


Breeze is/was a numerical processing library for Scala.

MLlib: Machine Learning in Apache Spark

A Survey on Distributed Machine Learning

Matrix Computations and Optimization in Apache Spark

LocationSpark: In-memory Distributed Spatial Query Processing and Optimization

Benchmarking Data Flow Systems for Scalable Machine Learning

International Conference on Management of Data

Declarative Data Analytics: a Survey

Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation

Understanding and Optimizing the Performance of Distributed Machine Learning Applications on Apache Spark

DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance

A Benchmarking Study to Evaluate Apache Spark on Large-Scale Supercomputers


GeoTrellis is a geographic data processing engine for high performance applications.

A Survey on Spatio-temporal Data Analytics Systems

High Resolution, Annual Maps of Field Boundaries for Smallholder-Dominated Croplands at National Scales

Developing Big Data Infrastructure for Analyzing AIS Vessel Tracking Data on a Global Scale


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


ClosedXML is a .NET library for reading, manipulating and writing Excel 2007+ (.xlsx, .xlsm) files. It aims to provide an intuitive and user-friendly interface to dealing with the underlying OpenXML API.

TUTA: Tree-based Transformers for Generally Structured Table Pre-training

TableSense: Spreadsheet Table Detection with Convolutional Neural Networks

THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Structure and Design of HoloGen


A tool for reverse engineering Android apk files

Playing With Danger: A Taxonomy and Evaluation of Threats to Smart Toys

CRYLOGGER: Detecting Crypto Misuses Dynamically

AppFA: A Novel Approach to Detect Malicious Android Applications on the Network

On-Device Detection of Repackaged Android Malware via Traffic Clustering

Reversing Kia Motors Head Unit to discover and exploit software vulnerabilities

Journal of Computer Virology and Hacking Techniques

Droid-IoT: Detect Android IoT Malicious Applications Using ML and Blockchain

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

FirmwareDroid: Security Analysis of the Android Firmware EcoSystem

Wake Lock Leak Detection in Android Apps Using Multi-Layer Perceptron


A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science

Benchmark and Survey of Automated Machine Learning Frameworks

Automating biomedical data science through tree-based pipeline optimization

Scaling tree-based automated machine learning to biomedical big data with a feature set selector

Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI

Proceedings of the ACM on Human-Computer Interaction

AutoML to Date and Beyond: Challenges and Opportunities

A machine learning Automated Recommendation Tool for synthetic biology

Benchmarking Automatic Machine Learning Frameworks

How Much Automation Does a Data Scientist Want?

Bayesian Optimization for Categorical and Category-Specific Continuous Inputs


Flutter makes it easy and fast to build beautiful apps for mobile and beyond

Will you come back to contribute? Investigating the inactivity of OSS core developers in GitHub

Developing Cross-Platform Library Using Flutter

European Journal of Engineering and Technology Research

DevReplay: Automatic Repair with Editable Fix Pattern


Brotli compression format

Interpretation-enabled Software Reuse Detection Based on a Multi-Level Birthmark Model

Safer at any speed: automatic context-aware safety enhancement for Rust

Revisiting Data Compression in Column-Stores

Optimizing IoT and Web Traffic Using Selective Edge Compression

3D Compression Using Neural Fields

Complexity Scaling of Liquid Dynamics

Performance evolution of configurable software systems: an empirical study


Authoring Books and Technical Documents with R Markdown

Framework for Accessible and Inclusive Teaching Materials for Statistics and Data Science Courses

Validation of the UK English Oxford cognitive screen-plus in sub-acute and chronic stroke survivors

The adoptr Package: Adaptive Optimal Designs for Clinical Trials in R

Using tours to visually investigate properties of new projection pursuit indexes with application to problems in physics

You Only Write Thrice: Creating Documents, Computational Notebooks and Presentations From a Single Source


A library of extension and helper modules for Python's data analysis and machine learning libraries.

MLxtend: Providing machine learning and data science utilities and extensions to Python's scientific computing stack

The Materials Simulation Toolkit for Machine learning (MAST-ML): An automated open source toolkit to accelerate data-driven materials research

Feature Selection Algorithms as One of the Python Data Analytical Tools

Fairness Aware Counterfactuals for Subgroups


Zstandard - Fast real-time compression algorithm

FIRE6: Feynman Integral REduction with modular arithmetic

cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data

PACT '20: PROCEEDINGS OF THE ACM INTERNATIONAL CONFERENCE ON PARALLEL ARCHITECTURES AND COMPILATION TECHNIQUES

SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors

SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors

FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point Data

MGARD+: Optimizing Multilevel Methods for Error-bounded Scientific Data Reduction

JUNGFRAU detector for brighter x-ray sources: Solutions for IT and data science challenges in macromolecular crystallography

Is it time to replace gzip? Comparison of modern compressors for molecular sequence databases

Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures

Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs


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

Fully Onboard AI-powered Human-Drone Pose Estimation on Ultra-low Power Autonomous Flying Nano-UAVs

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

International Conference on Distributed Computing in Sensor Systems

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

Historical and Current Landscapes of Autonomous Quadrotor Control: An Early-Career Researchers’ Guide

Stress Testing Control Loops in Cyber-physical Systems

ACM Transactions on Software Engineering and Methodology

POD: A Smartphone That Flies

Research Project 2: Drone-supported AI-based Generation of 3D Maps of Indoor Radio Environments

A Remote Sim2real Aerial Competition: Fostering Reproducibility and Solutions' Diversity in Robotics Challenges


Caffe: a fast open framework for deep learning.

SSD: Single Shot MultiBox Detector

Mixed Precision Training

ParseNet: Looking Wider to See Better

Pelee: A Real-Time Object Detection System on Mobile Devices

Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM

Convolutional Neural Networks for Image-Based High-Throughput Plant Phenotyping: A Review

Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes

Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction

Dynamic Zoom-in Network for Fast Object Detection in Large Images

Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review


A treasure chest for visual classification and recognition powered by PaddlePaddle

Deep Residual Learning for Image Recognition

ImageNet classification with deep convolutional neural networks

Very Deep Convolutional Networks for Large-Scale Image Recognition

Going Deeper with Convolutions

Densely Connected Convolutional Networks

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

Squeeze-and-Excitation Networks

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

Rethinking the Inception Architecture for Computer Vision

MobileNetV2: Inverted Residuals and Linear Bottlenecks


Model interpretability and understanding for PyTorch

A Unified Approach to Interpreting Model Predictions

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

International Journal of Computer Vision

Visualizing and Understanding Convolutional Networks

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Axiomatic Attribution for Deep Networks

Striving for Simplicity: The All Convolutional Net

Learning Important Features Through Propagating Activation Differences

SmoothGrad: removing noise by adding noise

Sanity Checks for Saliency Maps


DuckDB is an analytical in-process SQL database management system

Making RDBMSs Efficient on Graph Workloads Through Predefined Joins

SRAI: Towards Standardization of Geospatial AI

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


A JavaScript codemod toolkit.

Automated Refactoring of Legacy JavaScript Code to ES6 Modules

Investigating the Evolvability of Web Page Load Time

Forest: Structural Code Editing with Multiple Cursors

SIGPLAN symposium on New ideas, new paradigms, and reflections on programming and software

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


Open source Structure-from-Motion pipeline

OpenVSLAM: A Versatile Visual SLAM Framework

PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19)

GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras

World-Consistent Video-to-Video Synthesis

UAS-Based Plant Phenotyping for Research and Breeding Applications

Learning Multi-Object Tracking and Segmentation from Automatic Annotations

Prior-Guided Multi-View 3D Head Reconstruction

Inertial-Based Scale Estimation for Structure from Motion on Mobile Devices

LineNet: a Zoomable CNN for Crowdsourced High Definition Maps Modeling in Urban Environments

Monitor Cotton Budding Using SVM and UAV Images

How to build a 2d and 3d aerial multispectral map?—all steps deeply explained


Context Broker and CEF building block for context data management, providing NGSI interfaces.

Providing Personalized Energy Management and Awareness Services for Energy Efficiency in Smart Buildings

Embracing the Future Internet of Things

Advancing Experimentation-as-a-Service Through Urban IoT Experiments

Exploiting the Internet Resources for Autonomous Robots in Agriculture

Efficient Execution of Complex Context Queries to Enable Near Real-Time Smart IoT Applications

From Traditional Adaptive Data Caching to Adaptive Context Caching: A Survey

Atomic Services: sustainable ecosystem of smart city services through pan-European collaboration

VirIoT: A Cloud of Things That Offers IoT Infrastructures as a Service

Adaptive Context Caching for IoT-Based Applications: A Reinforcement Learning Approach

LearningCity: Knowledge Generation for Smart Cities

Smart Cities Performability, Cognition, & Security


Gluon CV Toolkit

Searching for MobileNetV3

ResNeSt: Split-Attention Networks

Bag of Tricks for Image Classification with Convolutional Neural Networks

Bag of Freebies for Training Object Detection Neural Networks

Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks

A Comprehensive Study of Deep Video Action Recognition

Criteria for Classifying Forecasting Methods

Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling

Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources

SMOT: Single-Shot Multi Object Tracking


Nextstrain build for novel coronavirus SARS-CoV-2

Omicron extensively but incompletely escapes Pfizer BNT162b2 neutralization

Emergence of genomic diversity and recurrent mutations in SARS-CoV-2

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases

Emergence of SARS-CoV-2 Omicron lineages BA.4 and BA.5 in South Africa

Coast-to-Coast Spread of SARS-CoV-2 during the Early Epidemic in the United States

Analysis of 6.4 million SARS-CoV-2 genomes identifies mutations associated with fitness

medRxiv : the preprint server for health sciences

RNA genome conservation and secondary structure in SARS-CoV-2 and SARS-related viruses: a first look

A Recurrent Mutation at Position 26340 of SARS-CoV-2 Is Associated with Failure of the E Gene Quantitative Reverse Transcription-PCR Utilized in a Commercial Dual-Target Diagnostic Assay

SARS-CoV-2 prolonged infection during advanced HIV disease evolves extensive immune escape

Augur: a bioinformatics toolkit for phylogenetic analyses of human pathogens

COVID-19 CG enables SARS-CoV-2 mutation and lineage tracking by locations and dates of interest


open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

MVSNet: Depth Inference for Unstructured Multi-view Stereo

OpenVSLAM: A Versatile Visual SLAM Framework

DeepV2D: Video to Depth with Differentiable Structure from Motion

Relative Camera Pose Estimation Using Convolutional Neural Networks

LATCH: Learned Arrangements of Three Patch Codes

Reconfiguring the Imaging Pipeline for Computer Vision

Efficient Non-Consecutive Feature Tracking for Robust Structure-From-Motion

Robust Image Retrieval-based Visual Localization using Kapture

Leveraging Vision Reconstruction Pipelines for Satellite Imagery

Anisotropic-Scale Junction Detection and Matching for Indoor Images

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


BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more

The rise of eBPF for non-intrusive performance monitoring

Network Operations and Management Symposium

User Space Network Drivers

The Art of CPU-Pinning: Evaluating and Improving the Performance of Virtualization and Containerization Platforms

Programmable Data Gathering for Detecting Stegomalware

PROCEEDINGS OF THE 2020 6TH IEEE CONFERENCE ON NETWORK SOFTWARIZATION (NETSOFT 2020): BRIDGING THE GAP BETWEEN AI AND NETWORK SOFTWARIZATION

TEEMon: A continuous performance monitoring framework for TEEs

Dissecting Service Mesh Overheads

bccstego: A Framework for Investigating Network Covert Channels

Zenodo (CERN European Organization for Nuclear Research)

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

AnyCall: Fast and Flexible System-Call Aggregation

Programming Languages and Operating Systems

ZCSD: a Computational Storage Device over Zoned Namespaces (ZNS) SSDs


Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

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

A Novel SNP-STR System Based on a Capillary Electrophoresis Platform

ML4C: Seeing Causality Through Latent Vicinity

pgmpy: A Python Toolkit for Bayesian Networks

Causal Models to Support Scenario-Based Testing of ADAS

IEEE transactions on intelligent transportation systems


Go ahead and axolotl questions

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

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

Tower: An Open Multilingual Large Language Model for Translation-Related Tasks

NEFTune: Noisy Embeddings Improve Instruction Finetuning

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Online Iterative Reinforcement Learning from Human Feedback with General Preference Model

Aligning to Thousands of Preferences via System Message Generalization

SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Aloe: A Family of Fine-tuned Open Healthcare LLMs

Entropy Law: The Story Behind Data Compression and LLM Performance


Python library for audio and music analysis

Exploring Deep Spectrum Representations via Attention-Based Recurrent and Convolutional Neural Networks for Speech Emotion Recognition

UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition

A Joint Detection-Classification Model for Audio Tagging of Weakly Labelled Data

Masked Conditional Neural Networks for sound classification

Language Impairment in Alzheimer’s Disease—Robust and Explainable Evidence for AD-Related Deterioration of Spontaneous Speech Through Multilingual Machine Learning

On the Utility of Self-supervised Models for Prosody-related Tasks

Multi-Task Self-Supervised Pre-Training for Music Classification

Attention-based hybrid CNN-LSTM and spectral data augmentation for COVID-19 diagnosis from cough sound

Journal of intelligent information systems

DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling

TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method


:zap: A Fast, Extensible Progress Bar for Python and CLI

tqdm: A Fast, Extensible Progress Meter for Python and CLI

FLEX: Unifying Evaluation for Few-Shot NLP

Understanding Rare Spurious Correlations in Neural Networks

A Unified Framework for U-Net Design and Analysis

What You See is What You Get: Principled Deep Learning via Distributional Generalization

MR-MOOSE: an advanced SED-fitting tool for heterogeneous multi-wavelength data sets

Monthly Notices of the Royal Astronomical Society

Unsupervised Evaluation of Code LLMs with Round-Trip Correctness

Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective

torchgfn: A PyTorch GFlowNet library

Purple: A Computational Workflow for Strategic Selection of Peptides for Viral Diagnostics Using MS-Based Targeted Proteomics


Static Value-Flow Analysis Framework for Source Code

Multi-Modal Attention Network Learning for Semantic Source Code Retrieval

PhASAR: An Inter-procedural Static Analysis Framework for C/C++

Tools and Algorithms for Construction and Analysis of Systems

Compacting points-to sets through object clustering

Proceedings of the ACM on Programming Languages

RLTG: Multi-targets directed greybox fuzzing

Efficient Path-Sensitive Data-Dependence Analysis

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


Foundry is a blazing fast, portable and modular toolkit for Ethereum application development written in Rust.

FlashSyn: Flash Loan Attack Synthesis via Counter Example Driven Approximation

Light Clients for Lazy Blockchains

Private, Anonymous, Collateralizable Commitments vs. MEV

StableSims: Optimizing MakerDAO Liquidations 2.0 Incentives via Agent-Based Modeling

Evaluation of ChatGPT's Smart Contract Auditing Capabilities Based on
  Chain of Thought


A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

CatBoost: unbiased boosting with categorical features

CatBoost: gradient boosting with categorical features support

Time Masking for Temporal Language Models

A Novel Fracture Prediction Model Using Machine Learning in a Community‐Based Cohort

The Nature of High [OIII]_ 88μ m/[CII]_ 158μ m Galaxies in the Epoch of Reionization: Low Carbon Abundance and a Top-Heavy IMF?

Breakthrough Curves Prediction of Selenite Adsorption on Chemically Modified Zeolite Using Boosted Decision Tree Algorithms for Water Treatment Applications

Machine Learning based System for Vessel Turnaround Time Prediction

Minimal Variance Sampling in Stochastic Gradient Boosting

Occupancy Prediction Using Low-Cost and Low-Resolution Heat Sensors for Smart Offices

Clinical Predictors of Prolonged Hospital Stay in Patients with Myasthenia Gravis: A Study Using Machine Learning Algorithms


CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.

The Stanford CoreNLP Natural Language Processing Toolkit

PROCEEDINGS OF 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: SYSTEM DEMONSTRATIONS

Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank

Empirical Methods in Natural Language Processing

Generalisation in Named Entity Recognition: A Quantitative Analysis

Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks

Cross-lingual Pseudo-Projected Expectation Regularization for Weakly Supervised Learning

Time Expression Analysis and Recognition Using Syntactic Token Types and General Heuristic Rules

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

Multitask Parsing Across Semantic Representations

Neural Text Generation: A Practical Guide

Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation

The impact of imbalanced training data on machine learning for author name disambiguation


The CORE-V CVA6 is an Application class 6-stage RISC-V CPU capable of booting Linux

The Cost of Application-Class Processing: Energy and Performance Analysis of a Linux-Ready 1.7-GHz 64-Bit RISC-V Core in 22-nm FDSOI Technology

IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Agile SoC Development with Open ESP : Invited Paper

Proceedings of the 39th International Conference on Computer-Aided Design

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

A RISC-V Post Quantum Cryptography Instruction Set Extension for Number Theoretic Transform to Speed-Up CRYSTALS Algorithms

ESP4ML: Platform-Based Design of Systems-on-Chip for Embedded Machine Learning

PROCEEDINGS OF THE 2020 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE 2020)

Using LLMs to Facilitate Formal Verification of RTL

Analysis of Single Board Architectures Integrating Sensors Technologies

Optimizing Design Verification using Machine Learning: Doing better than Random

Assessment of Reinforcement Learning for Macro Placement

Dalorex: A Data-Local Program Execution and Architecture for Memory-bound Applications


OCI Runtime Specification

Sarus: Highly Scalable Docker Containers for HPC Systems

On-demand virtual research environments using microservices

ExploitWP2Docker: a Platform for Automating the Generation of Vulnerable WordPress Environments for Cyber Ranges

A Qualitative and Quantitative Analysis of Container Engines


Haskell source code suggestions

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

Program Synthesis Using Example Propagation

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

A Linter for Isabelle: Implementation and Evaluation


:warning: The Truffle Suite is being sunset. For information on ongoing support, migration options and FAQs, visit the Consensys blog. Thank you for all the support over the years.

Modeling food supply chain traceability based on blockchain technology

A traceability and auditing framework for electronic equipment reverse logistics based on blockchain: the case of mobile phones

Dynamic Role Binding in Blockchain-Based Collaborative Business Processes

Interpreted Execution of Business Process Models on Blockchain

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

A blockchain-based forensic model for financial crime investigation: the embezzlement scenario

Enforceable Data Sharing Agreements Using Smart Contracts

The Operational Cost of Ethereum Airdrops

DEPOSafe: Demystifying the Fake Deposit Vulnerability in Ethereum Smart Contracts

FairCs—Blockchain-Based Fair Crowdsensing Scheme using Trusted Execution Environment


Comprehensive and open-source library of analysis tools for MRI of the spinal cord.

Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks

Spinal cord gray matter segmentation using deep dilated convolutions

Unsuspected Involvement of Spinal Cord in Alzheimer Disease

Generalised boundary shift integral for longitudinal assessment of spinal cord atrophy

Optimal machine learning methods for radiomic prediction models: Clinical application for preoperative T2*-weighted images of cervical spondylotic myelopathy.

Towards contrast-agnostic soft segmentation of the spinal cord

The use of deep learning in medical imaging to improve spine care: A scoping review of current literature and clinical applications

Diffusion Kurtosis Imaging of Neonatal Spinal Cord in Clinical Routine

Automatic Segmentation of the Spinal Cord Nerve Rootlets

Reproducible Spinal Cord Quantitative MRI Analysis with the Spinal Cord Toolbox

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine


Simple and Distributed Machine Learning

A Survey on Spark Ecosystem: Big Data Processing Infrastructure, Machine Learning, and Applications

Flexible and Scalable Deep Learning with MMLSpark

Large-Scale Intelligent Microservices

MMLSpark: Unifying Machine Learning Ecosystems at Massive Scales


The H.E.S.S. Galactic plane survey

naima: a Python package for inference of relativistic particle energy distributions from observed nonthermal spectra

Gammapy - A prototype for the CTA science tools

How Do Software Developers Use GitHub Actions to Automate Their Workflows?

Gammapy: A Python package for gamma-ray astronomy

Spatial likelihood analysis for MAGIC telescope data. From instrument response modelling to spectral extraction

GitHub Actions: The Impact on the Pull Request Process

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

The Future of Gamma-Ray Experiments in the MeV-EeV Range

The γ-ray Milky Way above 10 GeV: Distinguishing Sources from Diffuse Emission


A machine learning compiler for GPUs, CPUs, and ML accelerators

XLB: A differentiable massively parallel lattice Boltzmann library in Python

PartIR: Composing SPMD Partitioning Strategies for Machine Learning

Efficient Online Processing with Deep Neural Networks

Strided Difference Bound Matrices


A toolkit for developing and comparing reinforcement learning algorithms.

OpenAI Gym

Parameter Space Noise for Exploration

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

State Representation Learning for Control: An Overview

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

Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation

PettingZoo: Gym for Multi-Agent Reinforcement Learning

What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study

Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors

IEEE transactions on neural networks and learning systems

GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning

Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning


Resource scheduling and cluster management for AI

Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads

BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search

NeuronBlocks: Building Your NLP DNN Models Like Playing Lego

Blox: A Modular Toolkit for Deep Learning Schedulers


Open deep learning compiler stack for cpu, gpu and specialized accelerators

A Hardware-Software Blueprint for Flexible Deep Learning Specialization

Optimizing CNN Model Inference on CPUs

MNN: A Universal and Efficient Inference Engine

I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference

TensorIR: An Abstraction for Automatic Tensorized Program Optimization

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs

Rewrite Rule Inference Using Equality Saturation

Automatic identification of self-admitted technical debt from four different sources

PolyDL: Polyhedral Optimizations for Creation of High Performance DL primitives

Fuzzing Deep Learning Compilers with HirGen


Scala based HDL

Clio: A Hardware-Software Co-Designed Disaggregated Memory System

ISA Extensions for Finite Field Arithmetic

IACR Transactions on Cryptographic Hardware and Embedded Systems

RVCoreP : An optimized RISC-V soft processor of five-stage pipelining

IEICE Transactions on Information and Systems

ProSpeCT: Provably Secure Speculation for the Constant-Time Policy (Extended version)

A Hardware Co-design Workflow for Scientific Instruments at the Edge

To Spike or Not to Spike? A Quantitative Comparison of SNN and CNN FPGA Implementations


Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

InstructPix2Pix: Learning to Follow Image Editing Instructions

Scalable Diffusion Models with Transformers

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

Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators

AudioLDM: Text-to-Audio Generation with Latent Diffusion Models

Fast Sampling of Diffusion Models with Exponential Integrator

Inversion-Based Style Transfer with Diffusion Models

Text-to-3D using Gaussian Splatting

Versatile Diffusion: Text, Images and Variations All in One Diffusion Model

Poisoning Web-Scale Training Datasets is Practical


The USRP™ Hardware Driver Repository

Oscillator metrology with software defined radio

Indoor Positioning of Low-Cost Narrowband IoT Nodes: Evaluation of a TDoA Approach in a Retail Environment

Ultrawideband USRP-Based Channel Sounding Utilizing the RFNoC Framework


Free and Open Source, Distributed, RESTful Search Engine

Pretrained Transformers for Text Ranking: BERT and Beyond

DocPrompting: Generating Code by Retrieving the Docs

ReACC: A Retrieval-Augmented Code Completion Framework

OPTIMADE, an API for exchanging materials data

Revisiting Summarization Evaluation for Scientific Articles

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

Development of the CMS detector for the CERN LHC Run 3

CORE: Automating Review Recommendation for Code Changes

Does Technical Debt Lead to the Rejection of Pull Requests?

An automatically created novel bug dataset and its validation in bug prediction


The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.

Linking big models to big data: efficient ecosystem model calibration through Bayesian model emulation

Beyond greenness: Detecting temporal changes in photosynthetic capacity with hyperspectral reflectance data

Towards agricultural soil carbon monitoring, reporting, and verification through the Field Observatory Network (FiON)

Geoscientific instrumentation, methods and data systems

Capturing site-to-site variability through Hierarchical Bayesian calibration of a process-based dynamic vegetation model

Towards understanding predictability in ecology: A forest gap model case study

Trends in the risk of heat stress to Canadian dairy cattle in a changing climate

A novel model–data fusion approach to terrestrial carbon cycle reanalysis across the contiguous U.S using SIPNET and PEcAn state data assimilation system v. 1.7.2

Towards agricultural soil carbon monitoring, reporting and verification through Field Observatory Network (FiON)


ACA-Py is a foundation for building decentralized identity applications and services running in non-mobile environments.

Leveraging Self-Sovereign Identity, Blockchain, and Zero-Knowledge Proof to Build a Privacy-Preserving Vaccination Pass

A Blockchain-based Decentralized Data Sharing Infrastructure for Off-grid Networking

Providing assurance and scrutability on shared data and machine learning models with verifiable credentials

An Empirical Study of a Trustworthy Cloud Common Data Model Using Decentralized Identifiers


Parameter-Efficient Transfer Learning for NLP

AdapterFusion: Non-Destructive Task Composition for Transfer Learning

MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer

AdapterHub: A Framework for Adapting Transformers

Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

A Primer on Pretrained Multilingual Language Models

Memory Efficient Continual Learning with Transformers

Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning

Adapter Based Fine-Tuning of Pre-Trained Multilingual Language Models for Code-Mixed and Code-Switched Text Classification

Fair and Argumentative Language Modeling for Computational Argumentation


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

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Playing Atari with Deep Reinforcement Learning

Asynchronous Methods for Deep Reinforcement Learning

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

Addressing Function Approximation Error in Actor-Critic Methods

Conservative Q-Learning for Offline Reinforcement Learning

Decision Transformer: Reinforcement Learning via Sequence Modeling

Habitat: A Platform for Embodied AI Research

Dream to Control: Learning Behaviors by Latent Imagination


An Industrial Grade Federated Learning Framework

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

Federated Learning on Non-IID Data: A Survey

SecureBoost: A Lossless Federated Learning Framework

A Secure Federated Transfer Learning Framework

Blockchain for federated learning toward secure distributed machine learning systems: a systemic survey

Soft Computing - A Fusion of Foundations, Methodologies and Applications

IBM Federated Learning: an Enterprise Framework White Paper V0.1

Vertical Federated Learning: Concepts, Advances, and Challenges

Secure and Efficient Federated Transfer Learning

Federated Learning on Clinical Benchmark Data: Performance Assessment

Automatic sleep staging of EEG signals: recent development, challenges, and future directions


Python library & console tool for controlling Xiaomi smart appliances

Vulnerabilities in IoT Devices for Smart Home Environment

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

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


TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

Deep Reinforcement Learning for Autonomous Driving: A Survey

Offline Reinforcement Learning with Implicit Q-Learning

Dynamics-Aware Unsupervised Discovery of Skills

Acme: A Research Framework for Distributed Reinforcement Learning

Real-time quantum error correction beyond break-even

Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments

RecSim: A Configurable Simulation Platform for Recommender Systems

Maximum Entropy RL (Provably) Solves Some Robust RL Problems

Data Efficient Reinforcement Learning for Legged Robots

ColO-RAN: Developing Machine Learning-Based xApps for Open RAN Closed-Loop Control on Programmable Experimental Platforms


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

Retrofitting effect handlers onto OCaml

Programming Language Design and Implementation

Owl: A General-Purpose Numerical Library in OCaml

Merlin: A Language Server for OCaml (Experience Report)

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

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

Tools and Algorithms for the Construction and Analysis of Systems

Polymorphic Type Inference for Dynamic Languages

Proceedings of the ACM on programming languages

A Direct-Style Effect Notation for Sequential and Parallel Programs

Extending OCaml's 'open'

Duplo: a framework for OCaml post-link optimisation

Proceedings of the ACM on Programming Languages

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


OpenMC Monte Carlo Code

ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales

Fast regression of the tritium breeding ratio in fusion reactors

The Monte Carlo Computational Summit -- October 25 & 26, 2023 -- Notre
  Dame, Indiana, USA

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA,
  and AMD GPUs


cocotb, a coroutine based cosimulation library for writing VHDL and Verilog testbenches in Python

Fuzzing Hardware Like Software

BDAQ53, a versatile pixel detector readout and test system for the ATLAS and CMS HL-LHC upgrades

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

fault: A Python Embedded Domain-Specific Language For Metaprogramming Portable Hardware Verification Components

Characterization and Verification Environment for the RD53A Pixel Readout Chip in 65 nm CMOS

Proceedings of Topical Workshop on Electronics for Particle Physics — PoS(TWEPP-17)

VeRLPy: Python Library for Verification of Digital Designs with Reinforcement Learning

Design Principles for Packet Deparsers on FPGAs

Symposium on Field Programmable Gate Arrays


Deep universal probabilistic programming with Python and PyTorch

Pyro: Deep Universal Probabilistic Programming

Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm

Doubly Stochastic Variational Inference for Deep Gaussian Processes

Pomegranate: fast and flexible probabilistic modeling in python

Mining gold from implicit models to improve likelihood-free inference

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

Convolutional Gaussian Processes

Pathwise Derivatives Beyond the Reparameterization Trick

Applications of statistical causal inference in software engineering

Towards Verified Stochastic Variational Inference for Probabilistic Programs

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


Linux system exploration and troubleshooting tool with first class support for containers

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

Standardized container virtualization approach for collecting host intrusion detection data

PROCEEDINGS OF THE 2019 FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS (FEDCSIS)

Online Malware Classification with System-Wide System Calls in Cloud IaaS

CONSERVE: A framework for the selection of techniques for monitoring containers security

DONAPI: Malicious NPM Packages Detector using Behavior Sequence
  Knowledge Mapping

Scalable Microservice Forensics and Stability Assessment Using Variational Autoencoders

Diagnosing applications' I/O behavior through system call observability


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

Creating a Vocabulary for Data Privacy

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

Knowledge-infused Learning for Entity Prediction in Driving Scenes

RDFFrames: Knowledge Graph Access for Machine Learning Tools

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

ISPRS International Journal of Geo-Information

CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications

Zenodo (CERN European Organization for Nuclear Research)

FAIRification of health-related data using semantic web technologies in the Swiss Personalized Health Network


A library for efficient similarity search and clustering of dense vectors.

Billion-scale similarity search with GPUs

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

ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT

Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

Multilingual Universal Sentence Encoder for Semantic Retrieval

ANN-Benchmarks: A Benchmarking Tool for Approximate Nearest Neighbor Algorithms

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph

Controllable Multi-Interest Framework for Recommendation


Single-cell analysis in Python. Scales to >1M cells.

SCANPY: large-scale single-cell gene expression data analysis

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

PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells

Reconstructing cell cycle and disease progression using deep learning

Squidpy: a scalable framework for spatial omics analysis

Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis

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

Type I interferon autoantibodies are associated with systemic immune alterations in patients with COVID-19

Embryo model completes gastrulation to neurulation and organogenesis

SARS-CoV-2 exacerbates proinflammatory responses in myeloid cells through C-type lectin receptors and Tweety family member 2


Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

UNITER: UNiversal Image-TExt Representation Learning

Horovod: fast and easy distributed deep learning in TensorFlow

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

UNITER: Learning UNiversal Image-TExt Representations

IntelliCode Compose: Code Generation Using Transformer

A Quantitative Survey of Communication Optimizations in Distributed Deep Learning

GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning

A Distributed Synchronous SGD Algorithm with Global Top-k Sparsification for Low Bandwidth Networks

Anatomy of High-Performance Deep Learning Convolutions on SIMD Architectures

Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks


Command-line program to download videos from YouTube.com and other video sites

VISION: a video and image dataset for source identification

V3C - a Research Video Collection

DALI: a large Dataset of synchronized Audio, LyrIcs and notes, automatically created using teacher-student machine learning paradigm

D-vlog: Multimodal Vlog Dataset for Depression Detection

THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Deepfake Videos in the Wild: Analysis and Detection

Sound of guns: digital forensics of gun audio samples meets artificial intelligence

Contrastive Learning with Positive-Negative Frame Mask for Music Representation

Families in Wild Multimedia: A Multimodal Database for Recognizing Kinship

Understanding video streaming algorithms in the wild

Comparing Learning Methodologies for Self-Supervised Audio-Visual Representation Learning


Data intensive science for everyone.

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

ReGaTE: Registration of Galaxy Tools in Elixir

Cloud bursting galaxy: federated identity and access management

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

Expanding the Galaxy’s reference data


Low-code framework for building custom LLMs, neural networks, and other AI models

Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools

International Conference on Tools with Artificial Intelligence

Ludwig: a type-based declarative deep learning toolbox

Declarative Machine Learning Systems

Recent Advances in Data Engineering for Networking

A study on cross-corpus speech emotion recognition and data augmentation

OCC: A Smart Reply System for Efficient In-App Communications

Personalized Benchmarking with the Ludwig Benchmarking Toolkit

AutoMLBench: A Comprehensive Experimental Evaluation of Automated Machine Learning Frameworks

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

Accessible, Reproducible, and Scalable Machine Learning for Biomedicine


Distributed Task Queue (development branch)

LitSuggest: a web-based system for literature recommendation and curation using machine learning

The Gravitational-wave Optical Transient Observer (GOTO): prototype performance and prospects for transient science

G2PDeep: a web-based deep-learning framework for quantitative phenotype prediction and discovery of genomic markers

Realized ecological forecast through an interactive Ecological Platform for Assimilating Data (EcoPAD, v1.0) into models

Mendel,MD: A user-friendly open-source web tool for analyzing WES and WGS in the diagnosis of patients with Mendelian disorders

DeepNeuropePred: A robust and universal tool to predict cleavage sites from neuropeptide precursors by protein language model

ALAMBIC : Active Learning Automation Methods to Battle Inefficient Curation

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations


The Web framework for perfectionists with deadlines.

SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

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

AutoCodeRover: Autonomous Program Improvement

MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

Towards Automatically Generating Release Notes using Extractive Summarization Technique

Software Engineering and Knowledge Engineering

BEERE: a web server for biomedical entity expansion, ranking and explorations

Simmate: a framework for materials science

SBFT Tool Competition 2024 -- Python Test Case Generation Track

Exploring Security Commits in Python

Tweaking Association Rules to Optimize Software Change Recommendations

XXXI BRAZILIAN SYMPOSIUM ON SOFTWARE ENGINEERING (SBES 2017)


Apache Spark - A unified analytics engine for large-scale data processing

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

MLlib: Machine Learning in Apache Spark

Matrix Computations and Optimization in Apache Spark

Cloud, Fog, or Edge: Where to Compute?

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

International Conference on Distributed Computing Systems

Automatically Leveraging MapReduce Frameworks for Data-Intensive Applications

SIGMOD'18: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

CORE: Automating Review Recommendation for Code Changes

How to identify class comment types? A multi-language approach for class comment classification

Dimension Independent Matrix Square using MapReduce

Performance evaluation of job schedulers on Hadoop YARN

Concurrency and Computation: Practice and Experience


cBioPortal for Cancer Genomics

Integration and Analysis of CPTAC Proteomics Data in the Context of Cancer Genomics in the cBioPortal

Requirements Analysis and Specification for a Molecular Tumor Board Platform Based on cBioPortal

Computational Analysis of Phosphoproteomics Data in Multi‐Omics Cancer Studies

Abstract 5277: The cBioPortal for cancer genomics and its application in precision oncology

Integrated molecular profiling of patient‐derived ovarian cancer models identifies clinically relevant signatures and tumor vulnerabilities


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

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

Quantifying Progress Across Different CMIP Phases With the ESMValTool

Journal of Geophysical Research: Atmospheres

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

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

Detecting Extreme Temperature Events Using Gaussian Mixture Models

Detection and Attribution of Climate Change Using a Neural Network

Journal of Advances in Modeling Earth Systems

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


:atom: The hackable text editor

On the impact of security vulnerabilities in the npm and RubyGems dependency networks

Will you come back to contribute? Investigating the inactivity of OSS core developers in GitHub

An Empirical Study of Flaky Tests in JavaScript

How Successful Are Open Source Contributions From Countries With Different Levels of Human Development?

Identifying Emergent Leadership in OSS Projects Based on Communication Styles

GIRT-Model: Automated Generation of Issue Report Templates


The Ethereum Improvement Proposal repository

A Survey on the Security of Blockchain Systems

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

Decentralization in Bitcoin and Ethereum Networks

SoK: Transparent Dishonesty: Front-Running Attacks on Blockchain

Optimized Execution of Business Processes on Blockchain

Blockchain for Cities—A Systematic Literature Review

Defining Smart Contract Defects on Ethereum

Identity Management Systems for the Internet of Things: A Survey Towards Blockchain Solutions

Performance Evaluation of the Quorum Blockchain Platform

The ICO Phenomenon and Its Relationships with Ethereum Smart Contract Environment


Cross-platform lib for process and system monitoring in Python

Data-Juicer: A One-Stop Data Processing System for Large Language Models

System-status-aware Adaptive Network for Online Streaming Video Understanding

Yes We Care! -- Certification for Machine Learning Methods through the Care Label Framework

Using LSTM Neural Networks as Resource Utilization Predictors: The case of training Deep Learning models on the Edge

Adaptive Ensemble Methods for Tampering Detection in Automotive Aftertreatment Systems

On the Effectiveness of Perturbations in Generating Evasive Malware Variants

Intelligent proactive fault tolerance at the edge through resource usage prediction

ITU Journal on Future and Evolving Technologies

A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones

Towards computational awareness in autonomous robots: an empirical study of computational kernels

Comparison of popular video conferencing apps using client-side measurements on different backhaul networks

Proceedings of the Twenty-Third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing


Fork of E3SM used to develop exascale global atmosphere model written in C++

An Assessment of Nonhydrostatic and Hydrostatic Dynamical Cores at Seasonal Time Scales in the Energy Exascale Earth System Model (E3SM)


A permissioned implementation of Ethereum supporting data privacy

Untangling Blockchain: A Data Processing View of Blockchain Systems

Blockchain Consensus Protocols in the Wild

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

HotStuff: BFT Consensus in the Lens of Blockchain

Blockchain for Cities—A Systematic Literature Review

Performance Evaluation of the Quorum Blockchain Platform

Privacy-Preserving Transactive Energy Management for IoT-Aided Smart Homes via Blockchain

Blockchain-based Supply Chain Traceability: Token Recipes model Manufacturing Processes

The Attack of the Clones Against Proof-of-Authority

Enabling Enterprise Blockchain Interoperability with Trusted Data Transfer (industry track)


Redisson - Valkey & Redis Java client. Complete Real-Time Data Platform. Sync/Async/RxJava/Reactive API. Over 50 Redis or Valkey based Java objects and services: Set, Multimap, SortedSet, Map, List, Queue, Deque, Semaphore, Lock, AtomicLong, Map Reduce, Bloom filter, Spring, Tomcat, Scheduler, JCache API, Hibernate, RPC, local cache..

AUGER: Automatically Generating Review Comments with Pre-training Models

Root cause prediction based on bug reports

International Symposium on Software Reliability Engineering

Identifying non-natural language artifacts in bug reports

Impact of Change Granularity in Refactoring Detection

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

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


Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reconstructing cell cycle and disease progression using deep learning

The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches

Demystifying Neural Style Transfer

Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community

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

On the Reconstruction of Face Images from Deep Face Templates

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

Medical image analysis based on deep learning approach


Suricata is a network Intrusion Detection System, Intrusion Prevention System and Network Security Monitoring engine developed by the OISF and the Suricata community.

A Comparative Analysis of Honeypots on Different Cloud Platforms

ChatIDS: Explainable Cybersecurity Using Generative AI

Honeypot Implementation in a Cloud Environment

Expectations Versus Reality: Evaluating Intrusion Detection Systems in
  Practice


Python library for loading and using triangular meshes.

ACRONYM: A Large-Scale Grasp Dataset Based on Simulation

DDGC: Generative Deep Dexterous Grasping in Clutter

3D generation on ImageNet

Multi-View Mesh Reconstruction with Neural Deferred Shading

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

Correcting ray distortion in tomographic additive manufacturing

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

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

Achieving Minimal Heat Conductivity by Ballistic Confinement in Phononic Metalattices

Excavation Learning for Rigid Objects in Clutter


Nix Packages collection & NixOS

Explainable Software Bot Contributions: Case Study of Automated Bug Fixes

International Workshop on Bots in Software Engineering

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

Backports: Change Types, Challenges and Strategies

Self-Scaling Clusters and Reproducible Containers to Enable Scientific Computing

Software packaging and distribution for LHCb using Nix

A Quantitative Study of Security Bug Fixes of GitHub Repositories


A flexible package manager that supports multiple versions, configurations, platforms, and compilers.

Enabling high-performance cloud computing for Earth science modeling on over a thousand cores: application to the GEOS-Chem atmospheric chemistry model

Preserving Command Line Workflow for a Package Management System Using ASCII DAG Visualization

IEEE transactions on visualization and computer graphics

PMT: Power Measurement Toolkit

Spack-Based Packaging and Development for HEP

SpackDev: Multi-Package Development with Spack


Creative Commons Attribution 4.0 International

A programming framework for agentic AI

EcoAssistant: Using LLM Assistant More Affordably and Accurately

Generative retrieval-augmented ontologic graph and multi-agent strategies for interpretive large language model-based materials design

EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records

Towards better Human-Agent Alignment: Assessing Task Utility in
  LLM-Powered Applications

Follow-Me AI: Energy-Efficient User Interaction with Smart Environments

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

AutoGen Studio: A No-Code Developer Tool for Building and Debugging
  Multi-Agent Systems


AMReX: Software Framework for Block Structured AMR

Simulating mixed fuzzy and cold dark matter

MAESTROeX: A Massively Parallel Low Mach Number Astrophysical Solver

A weighted state redistribution algorithm for embedded boundary grids

A moving embedded boundary approach for the compressible Navier-Stokes equations in a block-structured adaptive refinement framework

FerroX : A GPU-accelerated, 3D Phase-Field Simulation Framework for Modeling Ferroelectric Devices

Kinetic and internal energy transfer in forced compressible turbulence

Characterization of Transmission Lines in Microelectronic Circuits Using the ARTEMIS Solver

Neural Networks for Nuclear Reactions in MAESTROeX

Metadata for Sensitivity of He Flames in X-ray Bursts to Nuclear Physics

Zenodo (CERN European Organization for Nuclear Research)

3D ferroelectric phase field simulations of polycrystalline multi-phase
  hafnia and zirconia based ultra-thin films


RIOT -  The friendly OS for IoT

Information centric networking in the IoT

Workshop in Information Security Theory and Practice

Survey of Operating Systems for the IoT Environment

Design, Analysis, and Experimental Evaluation of a New Secure Rejoin Mechanism for LoRaWAN Using Elliptic-Curve Cryptography

Old Wine in New Skins? Revisiting the Software Architecture for IP Network Stacks on Constrained IoT Devices

A Lesson in Scaling 6LoWPAN – Minimal Fragment Forwarding in Lossy Networks

PROCEEDINGS OF THE IEEE LCN: 2019 44TH ANNUAL IEEE CONFERENCE ON LOCAL COMPUTER NETWORKS (LCN 2019)

PHiLIP on the HiL: Automated Multi-Platform OS Testing With External Reference Devices

Design Considerations for Low Power Internet Protocols

Dynamic Clock Reconfiguration for the Constrained IoT and its Application to Energy-efficient Networking

A DTLS Abstraction Layer for the Recursive Networking Architecture in RIOT


Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

Mish: A Self Regularized Non-Monotonic Activation Function

Training Deep Networks without Learning Rates Through Coin Betting

Deep learning in electron microscopy

Machine Learning: Science and Technology

Improving Training Stability for Multitask Ranking Models in Recommender Systems

Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii Telescope

Challenges in migrating imperative deep learning programs to graph execution

Proceedings of the 19th International Conference on Mining Software Repositories

Toward Educator-focused Automated Scoring Systems for Reading and Writing

Advances in Electron Microscopy with Deep Learning


Cross-platform .NET sample microservices and container based application that runs on Linux Windows and macOS. Powered by .NET 7, Docker Containers and Azure Kubernetes Services. Supports Visual Studio, VS for Mac and CLI based environments with Docker CLI, dotnet CLI, VS Code or any other code editor. Moved to https://github.com/dotnet/eShop.

Data Management in Microservices: State of the Practice, Challenges, and Research Directions

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

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

Detector-based component model abstraction for microservice-based systems

An Empirical Study of Security Practices for Microservices Systems

Identifying Domain-Based Cyclic Dependencies in Microservice APIs Using Source Code Detectors

Benchmarks for End-to-End Microservices Testing

Avoiding Excessive Data Exposure Through Microservice APIs

Event-Based Customization of Multi-tenant SaaS Using Microservices

Evaluating Microservice Organizational Coupling based on Cross-service Contribution

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


Examples and guides for using the OpenAI API

Mathematical Capabilities of ChatGPT

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting

Large Language Models Empowered Autonomous Edge AI for Connected Intelligence

No Need to Lift a Finger Anymore? Assessing the Quality of Code Generation by ChatGPT

Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction

Who is ChatGPT? Benchmarking LLMs' Psychological Portrayal Using PsychoBench

Revisiting Prompt Engineering via Declarative Crowdsourcing

Leveraging Few-Shot Data Augmentation and Waterfall Prompting for Response Generation

Revisiting Android App Categorization


Agda is a dependently typed programming language / interactive theorem prover.

Two-Level Type Theory and Applications

Internal Universes in Models of Homotopy Type Theory

Fitch-Style Modal Lambda Calculi

Internalizing Representation Independence with Univalence

Beyond Notations: Hygienic Macro Expansion for Theorem Proving Languages

Elaborating dependent (co)pattern matching

Proceedings of the ACM on Programming Languages

Path Spaces of Higher Inductive Types in Homotopy Type Theory

Normalization for Fitch-Style Modal Calculi

Synthetic Spectra via a Monadic and Comonadic Modality

Combinatorial Exploration: An algorithmic framework for enumeration


JavaScript API for Chrome and Firefox

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

Mind2Web: Towards a Generalist Agent for the Web

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

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

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

Unsupervised Object Learning via Common Fate

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

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

Software Testing, Verification and Reliability

VPN0: A Privacy-Preserving Decentralized Virtual Private Network

A Low-Cost Attack against the hCaptcha System