Library for HERA data reduction, including redundant calibration, absolute calibration, and LST-binning.

Mitigating Internal Instrument Coupling for 21 cm Cosmology. II. A Method Demonstration with the Hydrogen Epoch of Reionization Array

Mitigating Internal Instrument Coupling I: Temporal and Spectral Modeling

Absolute Calibration Strategies for the Hydrogen Epoch of Reionization Array and Their Impact on the 21 cm Power Spectrum

Redundant-baseline calibration of the hydrogen epoch of reionization array

Monthly Notices of the Royal Astronomical Society

Patterns of primary beam non-redundancy in close-packed 21 cm array observations

Array element coupling in radio interferometry I: a semi-analytic approach

On the use of temporal filtering for mitigating galactic synchrotron calibration bias in 21 cm reionization observations

Investigating Mutual Coupling in the Hydrogen Epoch of Reionization
  Array and Mitigating its Effects on the 21-cm Power Spectrum


Paddle Multimodal Integration and eXploration, supporting mainstream multi-modal tasks, including end-to-end large-scale multi-modal pretrain models and diffusion model toolbox. Equipped with high performance and flexibility.

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

CoCa: Contrastive Captioners are Image-Text Foundation Models

EVA: Exploring the Limits of Masked Visual Representation Learning at Scale

EVA-CLIP: Improved Training Techniques for CLIP at Scale

All are Worth Words: A ViT Backbone for Diffusion Models

EVA-02: A Visual Representation for Neon Genesis


A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files

PathVQA: 30000+ Questions for Medical Visual Question Answering

Net2Vis – A Visual Grammar for Automatically Generating Publication-Tailored CNN Architecture Visualizations

IEEE transactions on visualization and computer graphics

RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Towards Visual Question Answering on Pathology Images

Meeting of the Association for Computational Linguistics

The impact of peer review on the contribution potential of scientific papers

AmPyfier: Test amplification in Python

Automated Refugee Case Analysis: A NLP Pipeline for Supporting Legal Practitioners

Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation

JHU IWSLT 2023 Multilingual Speech Translation System Description

Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)

The Rise and Fall of the Note: Changing Paper Lengths in ACM CSCW, 2000-2018


PyTorch implementation of "Supervised Contrastive Learning"  (and SimCLR incidentally)

A Simple Framework for Contrastive Learning of Visual Representations

Supervised Contrastive Learning

Multi-Objective Interpolation Training for Robustness to Label Noise

i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning

StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners

Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels

Hybrid Discriminative-Generative Training via Contrastive Learning

No Reason for No Supervision: Improved Generalization in Supervised Models

From Global to Local: Multi-Scale Out-of-Distribution Detection

Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering

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


pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation

Understanding Black-box Predictions via Influence Functions

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

Data Shapley: Equitable Valuation of Data for Machine Learning

Towards Efficient Data Valuation Based on the Shapley Value

Second-Order Stochastic Optimization for Machine Learning in Linear Time

Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms

Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis

Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning

Data Banzhaf: A Robust Data Valuation Framework for Machine Learning

Scaling Up Influence Functions


Efficient phylogenomic software by maximum likelihood

A high-quality reference genome for the fission yeastSchizosaccharomyces osmophilus

The use of whole-genome sequencing and development of bioinformatics to monitor overlapping outbreaks of Candida auris in southern Nevada

Contamination of Plant Foods with Bacillus cereus in a Province and Analysis of Its Traceability

Genomic and Phenotypic Analysis of Salmonella enterica Bacteriophages Identifies Two Novel Phage Species

Chromosome genome assembly and whole genome sequencing of 110 individuals of Conogethes punctiferalis (Guenée)


pefile is a Python module to read and work with PE (Portable Executable) files

Transfer Learning for Image-Based Malware Classification

A Survey of Machine Learning Methods and Challenges for Windows Malware Classification

Activation Analysis of a Byte-Based Deep Neural Network for Malware Classification

I-MAD: Interpretable malware detector using Galaxy Transformer

Mate! Are You Really Aware? An Explainability-Guided Testing Framework for Robustness of Malware Detectors

Exploring Backdoor Poisoning Attacks Against Malware Classifiers

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

Federated Learning Approach for Distributed Ransomware Analysis

On Visual Hallmarks of Robustness to Adversarial Malware

Application of Distance Metric Learning to Automated Malware Detection


ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

Journey Towards Tiny Perceptual Super-Resolution

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

Crop Disease Classification on Inadequate Low-Resolution Target Images

Model Specialization for the Use of ESRGAN on Satellite and Airborne Imagery

Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution

Exploiting Digital Surface Models for Inferring Super-Resolution for Remotely Sensed Images

4x and 10x Super Resolution Generator Models Trained With Planet CubeSat Satellite Imagery

Zenodo (CERN European Organization for Nuclear Research)


The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

Evaluation of Various State of the Art Head Pose Estimation Algorithms for Clinical Scenarios

AniTalker: Animate Vivid and Diverse Talking Faces through Identity-Decoupled Facial Motion Encoding

Geometrically Adaptive Dictionary Attack on Face Recognition

BabyNet: Reconstructing 3D faces of babies from uncalibrated photographs

State of the Art of Quality Assessment of Facial Images


Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Stabilizing Transformers for Reinforcement Learning

Understanding and Improving Layer Normalization

Why are Adaptive Methods Good for Attention Models?

A Constructive Prediction of the Generalization Error Across Scales

The Implicit and Explicit Regularization Effects of Dropout

Recurrent Memory Transformer

Tensorized Embedding Layers for Efficient Model Compression

Memory Transformer

Noise Is Not the Main Factor Behind the Gap Between SGD and Adam on Transformers, but Sign Descent Might Be


EasyList filter subscription (EasyList, EasyPrivacy, EasyList Cookie, Fanboy's Social/Annoyances/Notifications Blocking List)

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

SpeedReader: Reader Mode Made Fast and Private

Actions speak louder than words: Semi-supervised learning for browser fingerprinting detection

Comparing Large-Scale Privacy and Security Notifications

Proceedings on Privacy Enhancing Technologies

Blocked or Broken? Automatically Detecting When Privacy Interventions Break Websites

An iterative technique to identify browser fingerprinting scripts

Blocking Tracking JavaScript at the Function Granularity

Quantifying Carbon Emissions due to Online Third-Party Tracking

Manifest V3 Unveiled: Navigating the New Era of Browser Extensions


A bunch of lints to catch common mistakes and improve your Rust code. Book: https://doc.rust-lang.org/clippy/

Leveraging Rust Types for Modular Specification and Verification

Proceedings of the ACM on Programming Languages

How do programmers use unsafe rust?

Toward a Simulation Model Complexity Measure

Towards Immediate Feedback for Security Relevant Code in Development Environments


CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer Arxiv - HAT: Hybrid Attention Transformer for Image Restoration

CMISR: Circular Medical Image Super-Resolution


Control-FREEC: Copy number and genotype annotation in whole genome and whole exome sequencing data

Genomic aberrations after short-term exposure to colibactin-producing E. coli transform primary colon epithelial cells

Global chromosome rearrangement induced by CRISPR-Cas9 reshapes the genome and transcriptome of human cells

Mapping crossover events of mouse meiotic recombination by restriction fragment ligation-based Refresh-seq

Somatic Mutational Landscape in Mexican Patients: CDH1 Mutations and chr20q13.33 Amplifications Are Associated with Diffuse-Type Gastric Adenocarcinoma

International journal of molecular sciences


DALL·E Mini - Generate images from a text prompt

Zero-Shot Text-to-Image Generation

Holistic Evaluation of Text-To-Image Models

Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models

Intriguing properties of synthetic images: from generative adversarial networks to diffusion models

Membership Inference Attacks Against Text-to-image Generation Models

Prompting AI Art: An Investigation into the Creative Skill of Prompt Engineering

A Review of Synthetic Image Data and Its Use in Computer Vision

MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation

GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment

No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency
  Determines Multimodal Model Performance


Documentation of Bike Sharing APIs

Data-driven micromobility network planning for demand and safety


The official Python library for the OpenAI API

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

Qwen Technical Report

Yi: Open Foundation Models by 01.AI

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

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

Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at
  Any Resolution

Executable Code Actions Elicit Better LLM Agents

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

OpenAgents: An Open Platform for Language Agents in the Wild

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


OpenSSF Scorecard - Security health metrics for Open Source

Taxonomy of Attacks on Open-Source Software Supply Chains

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

Do Software Security Practices Yield Fewer Vulnerabilities?

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

S3C2 Summit 2023-02: Industry Secure Supply Chain Summit

Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics

Lessons from the Long Tail: Analysing Unsafe Dependency Updates across Software Ecosystems

S3C2 Summit 2202-09: Industry Secure Suppy Chain Summit


GoogleTest - Google Testing and Mocking Framework

iHixs 2 - Inclusive Higgs Cross Sections

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

Ginkgo: A Modern Linear Operator Algebra Framework for High Performance Computing

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

Mull It Over: Mutation Testing Based on LLVM

International Conference on Software Testing, Verification and Validation Workshops

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

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

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

Ginkgo: A high performance numerical linear algebra library

Mining guidelines for architecting robotics software


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


Magnificent app which corrects your previous console command.

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

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

An empirical investigation of command-line customization

Tests4Py: A Benchmark for System Testing

Mining Bug Repositories for Multi-Fault Programs


The public CGAL repository, see the README below

Laplacian Flow Dynamics on Geometric Graphs for Anatomical Modeling of Cerebrovascular Networks

Implementation of high-precision computation capabilities into the open-source dynamic simulation framework YADE

Planar-Equirectangular Image Stitching

Minimum Coverage by Convex Polygons: The CG:SHOP Challenge 2023

Computing Voronoi Diagrams in the Polar-Coordinate Model of the Hyperbolic Plane


[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

Non-local Neural Networks

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Devices

International Conference on Computer Vision

The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines

Generic Event Boundary Detection: A Benchmark for Event Segmentation

Class-Incremental Learning for Action Recognition in Videos

Training Kinetics in 15 Minutes: Large-scale Distributed Training on Videos

Video Moment Localization using Object Evidence and Reverse Captioning


A modular QUIC stack designed primarily for H2O

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

Exploring Proxying QUIC and HTTP/3 for Satellite Communication


customizable pipeline to identify viral sequences from (meta)genomic data

A catalogue of 1,167 genomes from the human gut archaeome

Improved Assembly of Metagenome-Assembled Genomes and Viruses in Tibetan Saline Lake Sediment by HiFi Metagenomic Sequencing

Protocol for the isolation, sequencing, and analysis of the gut phageome from human fecal samples

Current trends in RNA virus detection through metatranscriptome sequencing data


TAPAS - Translational Algorithms for Psychiatry-Advancing Science

The effects of multi-echo fMRI combination and rapid T2*-mapping on offline and real-time BOLD sensitivity

Altered Perception of Environmental Volatility During Social Learning in Emerging Psychosis

Evidence for Reduced Sensory Precision and Increased Reliance on Priors in Hallucination-Prone Individuals in a General Population Sample

rt-me-fMRI: A task and resting state dataset for real-time, multi-echo fMRI methods development and validation

Diminished pain sensitivity mediates the relationship between psychopathic traits and reduced learning from pain

Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN


Empire is a PowerShell and Python post-exploitation agent.

Automated Cyber Defence: A Review

SoK: A Survey of Open-Source Threat Emulators

PowerDP: De-Obfuscating and Profiling Malicious PowerShell Commands With Multi-Label Classifiers

Investigating the Ecosystem of Offensive Information Security Tools

ProblemChild: Discovering Anomalous Patterns based on Parent-Child Process Relationships

Prov2vec: Learning Provenance Graph Representation for Unsupervised APT Detection


An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)

fastp: an ultra-fast all-in-one FASTQ preprocessor

Resistance of SARS-CoV-2 variants to neutralization by monoclonal and serum-derived polyclonal antibodies

PRMD: an integrated database for plant RNA modifications

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

Retention of paternal DNA methylome in the developing zebrafish germline

Catalase (CAT) Gene Family in Rapeseed (Brassica napus L.): Genome-Wide Analysis, Identification, and Expression Pattern in Response to Multiple Hormones and Abiotic Stress Conditions

A simple guide to de novo transcriptome assembly and annotation

CancerSCEM: a database of single-cell expression map across various human cancers

Skeletal Muscle Disorders: A Noncardiac Source of Cardiac Troponin T

Reduced Chemical Fertilizer Combined With Bio-Organic Fertilizer Affects the Soil Microbial Community and Yield and Quality of Lettuce


The web application front end for Model My Watershed.


HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

A Survey on Neural Speech Synthesis

UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation

Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action

BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis

PortaSpeech: Portable and High-Quality Generative Text-to-Speech

PromptTTS: Controllable Text-to-Speech with Text Descriptions

Fre-GAN: Adversarial Frequency-consistent Audio Synthesis

MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies


Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

Towards a Unified View of Parameter-Efficient Transfer Learning

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

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

On the Effectiveness of Parameter-Efficient Fine-Tuning

Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning

FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization

Memory Efficient Optimizers with 4-bit States

Exploring the impact of low-rank adaptation on the performance, efficiency, and regularization of RLHF

Meta-Learning the Difference: Preparing Large Language Models for Efficient Adaptation


Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data

TimeCrypt: Encrypted Data Stream Processing at Scale with Cryptographic Access Control

SciTS: A Benchmark for Time-Series Databases in Scientific Experiments and Industrial Internet of Things

Using Microbenchmark Suites to Detect Application Performance Changes

IoTDataBench: Extending TPCx-IoT for Compression and Scalability


Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications

Adaptive Frequency Filters As Efficient Global Token Mixers

EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM

An Empirical Study of Challenges in Converting Deep Learning Models

Towards Using Police Officers’ Business Smartphones for Contactless Fingerprint Acquisition and Enabling Fingerprint Comparison against Contact-Based Datasets

Efficient Modulation for Vision Networks

Autonomous and Real-time Rock Image Classification using Convolutional Neural Networks

Prediction of Kinetic Product Ratios: Investigation of a Dynamically Controlled Case

Toward Tiny and High-quality Facial Makeup with Data Amplify Learning


Phylogenetic and taxonomic analysis for genomes and metagenomes

MetAMOS: a modular and open source metagenomic assembly and analysis pipeline

Phylogeny of Bacterial and Archaeal Genomes Using Conserved Genes: Supertrees and Supermatrices

Machine learning for metagenomics: methods and tools

Single Clinical Isolates from Acute Uncomplicated Urinary Tract Infections Are Representative of Dominant In Situ Populations


The X Toolkit

Mindboggling morphometry of human brains

Deciphering the mechanisms of developmental disorders: phenotype analysis of embryos from mutant mouse lines

Modern Scientific Visualizations on the Web

Reusable Client-Side JavaScript Modules for Immersive Web-Based Real-Time Collaborative Neuroimage Visualization

brainR: Interactive 3 and 4D Images of High Resolution Neuroimage Data

Exploring the Human Connectome Topology in Group Studies

From the Wet Lab to the Web Lab: A Paradigm Shift in Brain Imaging Research

N-Tools-Browser: Web-Based Visualization of Electrocorticography Data for Epilepsy Surgery

A Semantic Cross-Species Derived Data Management Application


Plant phenotyping with image analysis

PlantCV v2: Image analysis software for high-throughput plant phenotyping

A Data-Driven Perspective on the Colours of Metal-Organic Frameworks


AWS Service registry for resilient mid-tier load balancing and failover.

Monolithic vs. Microservice Architecture: A Performance and Scalability Evaluation

Circuit Breakers, Discovery, and API Gateways in Microservices

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

Applying Model-Driven Engineering to Stimulate the Adoption of DevOps Processes in Small and Medium-Sized Development Organizations

NDBench: Benchmarking Microservices at Scale

VERCASM-CPS: Vulnerability Analysis and Cyber Risk Assessment for Cyber-Physical Systems

Internet of Agents: Weaving a Web of Heterogeneous Agents for
  Collaborative Intelligence

No Free Lunch: Microservice Practices Reconsidered in Industry

Stable and Consistent Membership at Scale with Rapid

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


A high performance implementation of HDBSCAN clustering.

Accelerated Hierarchical Density Based Clustering

Manifold learning of four-dimensional scanning transmission electron microscopy

Intent Mining from past conversations for conversational agent

XMMPZCAT: A catalogue of photometric redshifts for X-ray sources

How much does a word weigh? Weighting word embeddings for word sense induction

The (im)possibility of strong chemical tagging

Growth factor signaling predicts therapy resistance mechanisms and defines neuroblastoma subtypes

Projection Path Explorer: Exploring Visual Patterns in Projected Decision-making Paths

ACM Transactions on Interactive Intelligent Systems

Endogenous tagging of Unc-13 reveals nanoscale reorganization at active zones during presynaptic homeostatic potentiation

A Network-Based Approach to QAnon User Dynamics and Topic Diversity During the COVID-19 Infodemic


Rare variant test software for next generation sequencing data

RVTESTS: an efficient and comprehensive tool for rare variant association analysis using sequence data

Genetic diversity fuels gene discovery for tobacco and alcohol use

SEQMINER: An R-Package to Facilitate the Functional Interpretation of Sequence-Based Associations

Analysis plan for primary cohort GWAS for blood lipid levels for the Global Lipids Genetics Consortium


The state-of-the-art image restoration model without nonlinear activation functions.

Simple Baselines for Image Restoration

NAFSSR: Stereo Image Super-Resolution Using NAFNet

Improving Image Restoration by Revisiting Global Information Aggregation

An Analysis of Multi-stage Progressive Image Restoration Network (MPRNet)

CascadedGaze: Efficiency in Global Context Extraction for Image
  Restoration


Ultra-fast and memory-efficient (meta-)genome assembler

MEGAHIT: An ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph

Multi-omics reveals that the rumen microbiome and its metabolome together with the host metabolome contribute to individualized dairy cow performance

Metagenome-wide association study of gut microbiome revealed novel aetiology of rheumatoid arthritis in the Japanese population

Choice of assembly software has a critical impact on virome characterisation

Two novel venom proteins underlie divergent parasitic strategies between a generalist and a specialist parasite

Terabase-scale metagenome coassembly with MetaHipMer

Metagenomic Analysis of Antibiotic Resistance Genes in Untreated Wastewater From Three Different Hospitals

Characteristics of Microbial Community and Function With the Succession of Mangroves

Exploring the Possible Link between the Gut Microbiome and Fat Deposition in Pigs

Oxidative medicine and cellular longevity

Yak rumen microbiome elevates fiber degradation ability and alters rumen fermentation pattern to increase feed efficiency


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

A Divide-and-Conquer Approach to the Summarization of Long Documents

An Empirical Survey on Long Document Summarization: Datasets, Models, and Metrics

Investigating Efficiently Extending Transformers for Long Input Summarization

A Thorough Evaluation of Task-Specific Pretraining for Summarization

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Co-Writing Screenplays and Theatre Scripts with Language Models: An Evaluation by Industry Professionals


modAL: A modular active learning framework for Python

A Semi-Automatic Annotation Approach for Human Activity Recognition

Boosting API Recommendation With Implicit Feedback

IEEE Transactions on Software Engineering

Practical galaxy morphology tools from deep supervised representation learning

Recognizing lines of code violating company-specific coding guidelines using machine learning

Seeing and Believing: Evaluating the Trustworthiness of Twitter Users

Ground Truth Inference for Weakly Supervised Entity Matching

Active Learning Training Strategy for Predicting O Adsorption Free Energy on Perovskite Catalysts using Inexpensive Catalyst Features

Deep reinforced active learning for multi-class image classification

Active Learning Framework to Automate NetworkTraffic Classification


Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

Wide & Deep Learning for Recommender Systems

Deep Neural Networks for YouTube Recommendations

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

An Overview of Multi-Task Learning in Deep Neural Networks

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

Deep Interest Network for Click-Through Rate Prediction

Neural Factorization Machines for Sparse Predictive Analytics

Deep & Cross Network for Ad Click Predictions

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

Deep Interest Evolution Network for Click-Through Rate Prediction

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts


Cowrie SSH/Telnet Honeypot https://cowrie.readthedocs.io

A Survey on Honeypot Software and Data Analysis

Prevalence of IoT Protocols in Telescopeand Honeypot Measurements

LLM in the Shell: Generative Honeypots

Attacker Behaviour Profiling using Stochastic Ensemble of Hidden Markov Models

Method of Forming Various Configurations of Telecommunication System Using Moving Target Defense

Measuring and Clustering Network Attackers using Medium-Interaction Honeypots

An Analysis of Honeypots and their Impact as a Cyber Deception Tactic

Cloud Watching: Understanding Attacks Against Cloud-Hosted Services

Proceedings of the 2023 ACM on Internet Measurement Conference

What are Attackers after on IoT Devices? An approach based on a multi-phased multi-faceted IoT honeypot ecosystem and data clustering

Cyber Attacker Profiling for Risk Analysis Based on Machine Learning


Release for Improved Denoising Diffusion Probabilistic Models

Denoising Diffusion Implicit Models

Elucidating the Design Space of Diffusion-Based Generative Models

Extracting Training Data from Diffusion Models

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

Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models

Flexible Diffusion Modeling of Long Videos

(Certified!!) Adversarial Robustness for Free!

DIRE for Diffusion-Generated Image Detection

Diffusion Models for Video Prediction and Infilling


GLM (General Language Model)

The Pile: An 800GB Dataset of Diverse Text for Language Modeling

GLM: General Language Model Pretraining with Autoregressive Blank Infilling

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

GPT Understands, Too

DeepStruct: Pretraining of Language Models for Structure Prediction

Understanding LLMs: A Comprehensive Overview from Training to Inference

FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding

GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model


Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Visual Adversarial Examples Jailbreak Aligned Large Language Models

Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large
  Language Models

X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language Models

Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models

Safety of Multimodal Large Language Models on Images and Text

PhD: A Prompted Visual Hallucination Evaluation Dataset

Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language
  Models


nuScenes: A multimodal dataset for autonomous driving

Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Center-based 3D Object Detection and Tracking

Multimodal Virtual Point 3D Detection

VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

FP8 versus INT8 for efficient deep learning inference

It's All Around You: Range-Guided Cylindrical Network for 3D Object Detection

Optimizing LiDAR Placements for Robust Driving Perception in Adverse
  Conditions

Real-Aug: Realistic Scene Synthesis for LiDAR Augmentation in 3D Object Detection


A Software Framework for Neuromorphic Computing

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking

The Intel neuromorphic DNS challenge

Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing

Neuromorphic hardware for sustainable AI data centers


EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV  2019 https://arxiv.org/abs/1901.00212

EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning

Flow-edge Guided Video Completion

Diverse Image Inpainting with Bidirectional and Autoregressive Transformers

Deep Fusion Network for Image Completion

Learning a Sketch Tensor Space for Image Inpainting of Man-made Scenes

Automatic Segmentation and Visualization of Choroid in OCT with Knowledge Infused Deep Learning

IEEE journal of biomedical and health informatics

LaFIn: Generative Landmark Guided Face Inpainting

Iterative facial image inpainting based on an encoder-generator architecture

Pluralistic Image Completion with Probabilistic Mixture-of-Experts


Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.

Advances and Open Problems in Federated Learning

CrypTFlow2: Practical 2-Party Secure Inference

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

Privacy-Preserving Machine Learning With Fully Homomorphic Encryption for Deep Neural Network

POSEIDON: Privacy-Preserving Federated Neural Network Learning

Homomorphic Encryption for Machine Learning in Medicine and Bioinformatics

TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption

EVA: An Encrypted Vector Arithmetic Language and Compiler for Efficient Homomorphic Computation

Programming Language Design and Implementation

Encrypted Control for Networked Systems: An Illustrative Introduction and Current Challenges

SoK: Fully Homomorphic Encryption Compilers


Fuzzy String Matching in Python

Large-scale investigation of the reasons why potentially important genes are ignored

The Privacy Policy Landscape After the GDPR

PLSDB: advancing a comprehensive database of bacterial plasmids

Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

Studying health-related internet and mobile device use using web logs and smartphone records

On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries

Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta

Shades of BLEU, Flavours of Success: The Case of MultiWOZ

NAIL: A General Interactive Fiction Agent

Data Protection by Design Tool for Automated GDPR Compliance Verification Based on Semantically Modeled Informed Consent


Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

PaLM: Scaling Language Modeling with Pathways

On the Opportunities and Risks of Foundation Models

Self-Consistency Improves Chain of Thought Reasoning in Language Models

Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Training Compute-Optimal Large Language Models

Multitask Prompted Training Enables Zero-Shot Task Generalization

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

Program Synthesis with Large Language Models

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


Fast genome-wide functional annotation through orthology assignment

Genome-wide macroevolutionary signatures of key innovations in butterflies colonizing new host plants

Transposable Element Misregulation Is Linked to the Divergence between Parental piRNA Pathways in Drosophila Hybrids

Genomic and Biotechnological Characterization of the Heavy-Metal Resistant, Arsenic-Oxidizing Bacterium Ensifer sp. M14

Higher genome variability within metabolism genes associates with recurrent Clostridium difficile infection

The Comparative Analysis of Genomic Diversity and Genes Involved in Carbohydrate Metabolism of Eighty-Eight Bifidobacterium pseudocatenulatum Isolates from Different Niches of China

Rab2 and Rab6 are Implicated in Acrosome Formation during Spermatogenesis in Eriocheir sinensis: Based on Sperm Proteome

Frontiers in bioscience (Landmark edition)

Enhanced Bioremediation Potential of Shewanella decolorationis RNA Polymerase Mutants and Evidence for Novel Azo Dye Biodegradation Pathways

Genomic, phenotypic, and clinical safety of Limosilactobacillus reuteri ATCC PTA 4659

Journal of industrial microbiology & biotechnology

Pan-genome analysis of Streptococcus suis serotype 2 highlights genes associated with virulence and antibiotic resistance


A scalable high-throughput metabolic and biogeochemical functional trait profiler

METABOLIC: high-throughput profiling of microbial genomes for functional traits, metabolism, biogeochemistry, and community-scale functional networks

Genome-resolved metagenomics reveals site-specific diversity of episymbiotic CPR bacteria and DPANN archaea in groundwater ecosystems

METABOLIC: High-throughput profiling of microbial genomes for functional traits, biogeochemistry, and community-scale metabolic networks

Revealing taxon-specific heavy metal-resistance mechanisms in denitrifying phosphorus removal sludge using genome-centric metaproteomics

Soils and sediments host Thermoplasmata archaea encoding novel copper membrane monooxygenases (CuMMOs)

Soils and sediments host novel archaea with divergent monooxygenases implicated in ammonia oxidation


Chinese version of GPT2 training code, using BERT tokenizer.

An fMRI Dataset for Concept Representation with Semantic Feature Annotations

Information Extraction and Human-Robot Dialogue towards Real-life Tasks: A Baseline Study with the MobileCS Dataset

HkAmsters at CMCL 2022 Shared Task: Predicting Eye-Tracking Data from a Gradient Boosting Framework with Linguistic Features

Workshop on Cognitive Modeling and Computational Linguistics

Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors

Research on user granularity-level personalized social text generation technology

Multi-Modal Experience Inspired AI Creation

Proceedings of the 30th ACM International Conference on Multimedia

Modern Distributed Data-Parallel Large-Scale Pre-training Strategies For NLP models

Mining Error Templates for Grammatical Error Correction

Edit As You Wish: Video Caption Editing with Multi-grained User Control

Zero-shot domain paraphrase with unaligned pre-trained language models


Convolutional Neural Network for Text Classification in Tensorflow

A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification

FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media

Hate Speech Dataset from a White Supremacy Forum

Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples

All-but-the-Top: Simple and Effective Postprocessing for Word Representations

FakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Media

CASCADE: Contextual Sarcasm Detection in Online Discussion Forums

Fake news detection based on news content and social contexts: a transformer-based approach

International Journal of Data Science and Analytics

Open-world Machine Learning: Applications, Challenges, and Opportunities


A library to extract Code Property Graphs from C/C++, Java, Go, Python, Ruby and every other language through LLVM-IR.

Cloud Property Graph: Connecting Cloud Security Assessments with Static Code Analysis

International Conference on Cloud Computing

Privacy Property Graph: Towards Automated Privacy Threat Modeling via Static Graph-based Analysis

Proceedings on Privacy Enhancing Technologies

A Language-Independent Analysis Platform for Source Code

A Uniform Representation of Classical and Quantum Source Code for Static Code Analysis

Representing LLVM-IR in a Code Property Graph


A flexible, high-performance serving system for machine learning models

TensorFlow-Serving: Flexible, High-Performance ML Serving

A Comprehensive Study on Challenges in Deploying Deep Learning Based Software

Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising

TF.Learn: TensorFlow's High-level Module for Distributed Machine Learning

Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities

New Frontiers in IoT: Networking, Systems, Reliability, and Security Challenges

The machine learning life cycle and the cloud: implications for drug discovery

DELTA: A DEep learning based Language Technology plAtform

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

PAUSE: Positive and Annealed Unlabeled Sentence Embedding


Implementation of our paper 'PixelLink: Detecting Scene Text via Instance Segmentation' in AAAI2018

TextMountain: Accurate Scene Text Detection via Instance Segmentation

Text Detection and Recognition in the Wild: A Review

Scene Text Detection in Natural Images: A Review


SingleR: Single-cell RNA-seq cell types Recognition (legacy version)

Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage

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

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

CancerSCEM: a database of single-cell expression map across various human cancers

Analysis and Visualization of Spatial Transcriptomic Data

Single-cell sequencing of ascites fluid illustrates heterogeneity and therapy-induced evolution during gastric cancer peritoneal metastasis

Alveolar macrophages in early stage COPD show functional deviations with properties of impaired immune activation

Absence of Batf3 reveals a new dimension of cell state heterogeneity within conventional dendritic cells

Changes in the Gut Microbiome Contribute to the Development of Behcet’s Disease via Adjuvant Effects

Frontiers in cell and developmental biology

Profiling mouse cochlear cell maturation using 10× Genomics single-cell transcriptomics


Scalable and user friendly neural :brain: forecasting algorithms.

DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks

N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting

Deep Learning for Time Series Forecasting: Tutorial and Literature Survey

Chronos: Learning the Language of Time Series

ProbTS: A Unified Toolkit to Probe Deep Time-series Forecasting

tsMorph: generation of semi-synthetic time series to understand algorithm performance


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

The Semantic Scholar Open Data Platform

ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding

A Large Dataset of Historical Japanese Documents with Complex Layouts

PP-StructureV2: A Stronger Document Analysis System

The "Collections as ML Data" Checklist for Machine Learning & Cultural Heritage


Python package for processing image-based profiling data

Building, benchmarking, and exploring perturbative maps of transcriptional and morphological data

Reproducible image-based profiling with Pycytominer

BioProfiling.jl: profiling biological perturbations with high-content imaging in single cells and heterogeneous populations

Phenonaut: multiomics data integration for phenotypic space exploration


Plot on map projections (with coastlines and political boundaries) using matplotlib

A circulation-based performance atlas of the CMIP5 and 6 models for regional climate studies in the Northern Hemisphere mid-to-high latitudes

Status of Earthquake Early Warning in Switzerland

A circulation-based performance atlas of the CMIP5 and 6 models for regional climate studies in the northern hemisphere

Zenodo (CERN European Organization for Nuclear Research)

Long-Term Ship Position Prediction Using Automatic Identification System (AIS) Data and End-to-End Deep Learning

LaCulturaNonSiFerma -- Report su uso e la diffusione degli hashtag delle istituzioni culturali italiane durante il periodo di lockdown

Genetic diversity of the mantellid frog Blommersia blommersae, and description of a new anuran species from south-eastern Madagascar


Advanced Multilanguage Interface to CVODES and IDAS

A protocol for dynamic model calibration

AMICI: High-Performance Sensitivity Analysis for Large Ordinary Differential Equation Models

Efficient parameterization of large-scale dynamic models based on relative measurements

The first 10 years of the international coordination network for standards in systems and synthetic biology (COMBINE)

Optimization and profile calculation of ODE models using second order adjoint sensitivity analysis

COVID-19 outbreak in Wuhan demonstrates the limitations of publicly available case numbers for epidemiological modeling

Integration based profile likelihood calculation for PDE constrained parameter estimation problems

Optimization and uncertainty analysis of ODE models using 2nd order adjoint sensitivity analysis

A more expressive spline representation for SBML models improves code generation performance in AMICI

COVID-19 outbreak in Wuhan demonstrates the limitations of publicly available case numbers for epidemiological modelling.


A set of tools written in Perl and C++ for working with VCF files, such as those generated by the 1000 Genomes Project.

A Genome-Wide Association Study of Wheat Spike Related Traits in China

Analysis pipelines for cancer genome sequencing in mice

Semi-coordinated allelic-bursting shape dynamic random monoallelic expression in pre-gastrulation embryos

Noninvasive Prenatal Screening for Cystic Fibrosis Using Circulating Trophoblasts: Detection of the 50 Most Common Disease-Causing Variants

Detection of candidate genes affecting milk production traits in sheep using whole‐genome sequencing analysis

Enabling out-of-clinic human immunity studies via single-cell profiling of capillary blood

Multivariable prognostic model for heart failure in Chinese Han population‐based setting

High-depth whole-genome sequencing identifies structure variants, copy number variants and short tandem repeats associated with Parkinson’s disease

Genetic diversity and population structure ofEpichloefungal pathogens of plants in natural ecosystems

Dynamic Diversity of NLR Genes in Triticum and Mining of Promising NLR Alleles for Disease Resistance


This is the development home of the workflow management system Snakemake. For general information, see

Sustainable data analysis with Snakemake

CRISPAltRations: a validated cloud-based approach for interrogation of double-strand break repair mediated by CRISPR genome editing

Mapache: a flexible pipeline to map ancient DNA

RNA-SSNV: A Reliable Somatic Single Nucleotide Variant Identification Framework for Bulk RNA-Seq Data

A Workflow Management System Guide


The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

Well-Read Students Learn Better: On the Importance of Pre-training Compact Models

Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond

The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models


Security analysis tool for EVM bytecode. Supports smart contracts built for Ethereum, Hedera, Quorum, Vechain, Rootstock, Tron and other EVM-compatible blockchains.

Securify: Practical Security Analysis of Smart Contracts

Slither: A Static Analysis Framework For Smart Contracts

International Workshop on Emerging Trends in Software Engineering for Blockchain

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

Manticore: A User-Friendly Symbolic Execution Framework for Binaries and Smart Contracts

Dissecting Ponzi schemes on Ethereum: identification, analysis, and impact

Empirical Review of Automated Analysis Tools on 47,587 Ethereum Smart Contracts

SoK: Decentralized Finance (DeFi)

Systematic Review of Security Vulnerabilities in Ethereum Blockchain Smart Contract

Harvey: A Greybox Fuzzer for Smart Contracts

Understanding Security Issues in the NFT Ecosystem


Fast R-CNN

Fast R-CNN

Accelerating Very Deep Convolutional Networks for Classification and Detection

LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with Deep Region-based Convolutional Networks

Global Weighted Average Pooling Bridges Pixel-level Localization and Image-level Classification

Neural Machine Translation with Latent Semantic of Image and Text

Una Revisión Sistemática de Métodos para Localizar Automáticamente Objetos en Imágenes

Revista Iberoamericana de Automática e Informática industrial

Double Attention-based Multimodal Neural Machine Translation with Semantic Image Regions

European Association for Machine Translation Conferences/Workshops

Human Segmentation and Tracking Survey on Masks for MADS Dataset

The Pedestrian Patterns Dataset

Fire-PPYOLOE: An Efficient Forest Fire Detector for Real-Time Wild Forest Fire Monitoring


[ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Tool Learning with Foundation Models

StableToolBench: Towards Stable Large-Scale Benchmarking on Tool
  Learning of Large Language Models

LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error


The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

EfficientDet: Scalable and Efficient Object Detection

YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images

A Refined Deep Learning Architecture for Diabetic Foot Ulcers Detection

Image-Captioning Model Compression

Single-Training Collaborative Object Detectors Adaptive to Bandwidth and Computation

Complementary datasets to COCO for object detection

Research on Safety Detection of Transmission Line Disaster Prevention Based on Improved Lightweight Convolutional Neural Network

Slimmable Encoders for Flexible Split DNNs in Bandwidth and Resource Constrained IoT Systems

IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks


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

Visual Analytics for Explainable Deep Learning

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

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

Static Neural Compiler Optimization via Deep Reinforcement Learning

VizSeq: A Visual Analysis Toolkit for Text Generation Tasks

Empirical Methods in Natural Language Processing

PyText: A Seamless Path from NLP research to production

Patchnet: Interpretable Neural Networks for Image Classification

Accelerating Distributed Deep Reinforcement Learning by In-Network Experience Sampling


A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs

Inference with Reference: Lossless Acceleration of Large Language Models

Knowledge Graph-augmented Language Models for Complex Question Answering

Proceedings of the 1st Workshop on Natural Language Reasoning and Structured Explanations (NLRSE)

Language Model Alignment with Elastic Reset

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

Crystal: Introspective Reasoners Reinforced with Self-Feedback

Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding

CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects

Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context Learning

Autoencoding Galaxy Spectra. I. Architecture


Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Deep Learning Framework for Vehicle and Pedestrian Detection in Rural Roads on an Embedded GPU

Detecting Diabetic Retinopathy Using Embedded Computer Vision

Artificial Intelligence for Colonoscopy: Past, Present, and Future

IEEE journal of biomedical and health informatics

Real-Time Robot Localization, Vision, and Speech Recognition on Nvidia Jetson TX1

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

Decentralised Intelligence, Surveillance, and Reconnaissance in Unknown Environments with Heterogeneous Multi-Robot Systems

An early warning AI-powered portable system to reduce workload and inspect environmental damage after natural disasters

AirLoop: A Simulation Framework for Testing of UAV Services


Mathematical Components compliant Analysis Library

CoqQ: Foundational Verification of Quantum Programs

Competing Inheritance Paths in Dependent Type Theory: A Case Study in Functional Analysis

Validating Mathematical Structures

A Formal Proof of PAC Learnability for Decision Stumps

A Coq Formalization of Lebesgue Integration of Nonnegative Functions

Measure Construction by Extension in Dependent Type Theory with Application to Integration

A Coq Formalization of the Bochner integral

PutnamBench: Evaluating Neural Theorem-Provers on the Putnam
  Mathematical Competition


AI Toolkit for Healthcare Imaging

UNETR: Transformers for 3D Medical Image Segmentation

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

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

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

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

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

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

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

Fetal Brain Tissue Annotation and Segmentation Challenge Results

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


Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks. EDVR has been merged into BasicSR and this repo is a mirror of BasicSR.

Deformable Convolutional Networks

EDVR: Video Restoration with Enhanced Deformable Convolutional Networks

Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution

Video Super Resolution Based on Deep Learning: A Comprehensive Survey

Understanding Deformable Alignment in Video Super-Resolution

MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution

Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution


Siphon - A collection of Python utilities for retrieving atmospheric and oceanic data from remote sources, focusing on being able to retrieve data from Unidata data technologies, such as the THREDDS data server.

Advanced Cyberinfrastructure to Enable Search of Big Climate Datasets in THREDDS

ISPRS International Journal of Geo-Information


HydroMT: Automated and reproducible model building and analysis

Large-sample assessment of varying spatial resolution on the streamflow estimates of the wflow_sbm hydrological model


A tool to collect data for OpenAQ platform.


Lime: Explaining the predictions of any machine learning classifier

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

Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives

Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations

Local Rule-Based Explanations of Black Box Decision Systems

Explaining by Removing: A Unified Framework for Model Explanation

CXPlain: Causal Explanations for Model Interpretation under Uncertainty

Survey of Explainable AI Techniques in Healthcare

Comparing Automatic and Human Evaluation of Local Explanations for Text Classification

North American Chapter of the Association for Computational Linguistics

Explanations of model predictions with live and breakDown packages

Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again


The City Energy Analyst (CEA)

Elastic buildings: Calibrated district-scale simulation of occupant-flexible campus operation for hybrid work optimization


Stream Processing and Complex Event Processing Engine

SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection

AIQL: Enabling Efficient Attack Investigation from System Monitoring Data

Threat Detection and Investigation with System-level Provenance Graphs: A Survey

On the Understandability of Temporal Properties Formalized in Linear Temporal Logic, Property Specification Patterns and Event Processing Language

Querying Streaming System Monitoring Data for Enterprise System Anomaly Detection

A Microservices Architecture for Distributed Complex Event Processing in Smart Cities

Symposium on Reliable Distributed Systems

Modeling compliance specifications in linear temporal logic, event processing language and property specification patterns: a controlled experiment on understandability

Towards Privacy Engineering for Real-Time Analytics in the Human-Centered Internet of Things


Generative Agents: Interactive Simulacra of Human Behavior

LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem

AI for social science and social science of AI: A Survey

Artificial Agency and Large Language Models


Python implementation of the multistate Bennett acceptance ratio (MBAR)

Guidelines for the analysis of free energy calculations

Journal of computer-aided molecular design

Best Practices for Alchemical Free Energy Calculations [Article v1.0]

Living journal of computational molecular science

A Simple Method for Automated Equilibration Detection in Molecular Simulations

Transferable MARTINI Model of Poly(ethylene Oxide)

Towards chemical accuracy for alchemical free energy calculations with hybrid physics-based machine learning / molecular mechanics potentials

The Ca2+ permeation mechanism of the ryanodine receptor revealed by a multi-site ion model

Uncovering Differences in Hydration Free Energies and Structures for Model Compound Mimics of Charged Side Chains of Amino Acids

Rigid Body Flows for Sampling Molecular Crystal Structures

Structural analysis of high-dimensional basins of attraction

Statistically optimal continuous free energy surfaces from biased simulations and multistate reweighting


Tools to work with android .dex and java .class files

A First Look at Deep Learning Apps on Smartphones

R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections

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

IEEE Transactions on Information Forensics and Security

StoryDroid: Automated Generation of Storyboard for Android Apps

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

Secure Containers in Android: the Samsung KNOX Case Study

Android inter-app communication threats and detection techniques

Layered obfuscation: a taxonomy of software obfuscation techniques for layered security

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

Towards a fair comparison and realistic evaluation framework of android malware detectors based on static analysis and machine learning


[ICLR'23 Spotlight & IJCV'24] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

MapTRv2: An End-to-End Framework for Online Vectorized HD Map Construction

PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion Models

Mind the map! Accounting for existing map information when estimating online HDMaps from sensor data

MapNeXt: Revisiting Training and Scaling Practices for Online Vectorized HD Map Construction

Is Your HD Map Constructor Reliable under Sensor Corruptions?


The fundamental package for scientific computing with Python.

Highly accurate protein structure prediction with AlphaFold

SciPy 1.0: fundamental algorithms for scientific computing in Python

Array programming with NumPy

Highly accurate protein structure prediction for the human proteome

Accurate structure prediction of biomolecular interactions with AlphaFold 3

A foundation model for generalizable disease detection from retinal images

Restoring and attributing ancient texts using deep neural networks

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

FLEX: Unifying Evaluation for Few-Shot NLP

FluxFix: automatic isotopologue normalization for metabolic tracer analysis


Documentation for Crossref's REST API. For questions or suggestions, see https://community.crossref.org/

Evidence of Open Access of scientific publications in Google Scholar: a large-scale analysis

Crossref: The sustainable source of community-owned scholarly metadata

Comparing published scientific journal articles to their pre-print versions

International Journal on Digital Libraries

Tortured phrases: A dubious writing style emerging in science. Evidence of critical issues affecting established journals

Do altmetrics work for assessing research quality?

A High Order Accurate Bound-Preserving Compact Finite Difference Scheme for Scalar Convection Diffusion Equations

How many preprints have actually been printed and why: a case study of computer science preprints on arXiv

Changes in evidence for studies assessing interventions for COVID-19 reported in preprints: meta-research study

It’s the workflows, stupid! What is required to make ‘offsetting’ work for the open access transition

Using altmetrics for detecting impactful research in quasi-zero-day time-windows: the case of COVID-19


TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

TorchGeo: Deep Learning With Geospatial Data

SSL4EO-L: Datasets and Foundation Models for Landsat Imagery

There Are No Data Like More Data: Datasets for deep learning in Earth observation

IEEE Geoscience and Remote Sensing Magazine

Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters

Supervising Remote Sensing Change Detection Models With 3d Surface Semantics


Large Language Model Text Generation Inference

QLoRA: Efficient Finetuning of Quantized LLMs

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

A Watermark for Large Language Models

Large Language Models: A Survey

Splitwise: Efficient generative LLM inference using phase splitting

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

SpecInfer: Accelerating Large Language Model Serving with Tree-based Speculative Inference and Verification

Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions

Mobile-Env: Building Qualified Evaluation Benchmarks for LLM-GUI Interaction

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


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

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

Dual Graded Lattice Structures: Generation Framework and Mechanical Properties Characterization

Taichi: An Open-Source Computer Graphics Library

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

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


SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

SOLOv2: Dynamic and Fast Instance Segmentation

SOLO: Segmenting Objects by Locations

Deep learning-based instance segmentation for the precise automated quantification of digital breast cancer immunohistochemistry images

An Instance Segmentation Based Framework for Large-Sized High-Resolution Remote Sensing Images Registration

Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation


A little word cloud generator in Python

Characterizing COVID-19 Content Posted to TikTok: Public Sentiment and Response During the First Phase of the COVID-19 Pandemic

The Journal of adolescent health : official publication of the Society for Adolescent Medicine

Leveraging Sparse Linear Layers for Debuggable Deep Networks

Hedonic appreciation and verbal description of pleasant and unpleasant odors in untrained, trainee cooks, flavorists, and perfumers

From free text to clusters of content in health records: an unsupervised graph partitioning approach

Ontology-based venous thromboembolism risk assessment model developing from medical records

BMC medical informatics and decision making

Extracting representations of cognition across neuroimaging studies improves brain decoding

Sharing emotions at scale: The Vent dataset

LX-LR4DistSemEval: a collection of language resources for the evaluation of distributional semantic models of Portuguese

Revista da Associação Portuguesa de Linguística

VidChapters-7M: Video Chapters at Scale

Learning to share by masking the non-shared for multi-domain sentiment classification


ROS Navigation stack.  Code for finding where the robot is and how it can get somewhere else.

ROS Navigation Tuning Guide

Spatio-temporal voxel layer: A view on robot perception for the dynamic world

International Journal of Advanced Robotic Systems

LiDAR-Based GNSS Denied Localization for Autonomous Racing Cars

Learning and Executing Re-usable Behaviour Trees from Natural Language Instruction

High-precision and robust localization system for mobile robots in complex and large-scale indoor scenes

The Conversation is the Command: Interacting with Real-World Autonomous Robot Through Natural Language

EMExplorer: an episodic memory enhanced autonomous exploration strategy with Voronoi domain conversion and invalid action masking

Human-centered Benchmarking for Socially-compliant Robot Navigation

A Multi-Robotic System for Environmental Cleaning

Programming Robot Behaviors with Execution Management Functions


ESP8266 core for Arduino

An Electricity Price-Aware Open-Source Smart Socket for the Internet of Energy

Research of Stability in Ad Hoc Self-Organizated Wireless Networks

Cybersecurity: Education, Science, Technique

Web-based Water Quality Parameter Monitoring for Bok Coy Hydroponics using Multi Sensors

Towards a secure API client generator for IoT devices

Perancangan Sistem Pengamanan Rumah Berbasis Human Detection Menggunakan Foto Dan Suara

Generic IoT Platform for Analytics


Extract and Visualize the Results of Multivariate Data Analyses

GDSL-domain proteins have key roles in suberin polymerization and degradation

SCHENGEN receptor module drives localized ROS production and lignification in plant roots

FOXA and master transcription factors recruit Mediator and Cohesin to the core transcriptional regulatory circuitry of cancer cells

The global dissemination of hospital clones of Enterococcus faecium

The genomic and epigenomic evolutionary history of papillary renal cell carcinomas

Comparative transcriptome and metabolome analysis reveal key regulatory defense networks and genes involved in enhanced salt tolerance of Actinidia (kiwifruit)

Evolution of Transmissible Gastroenteritis Virus (TGEV): A Codon Usage Perspective

International journal of molecular sciences

Phylogenomics of SAR116 Clade Reveals Two Subclades with Different Evolutionary Trajectories and an Important Role in the Ocean Sulfur Cycle

Transcriptomic and metabolomic characterization of post-hatch metabolic reprogramming during hepatic development in the chicken

A multivariate data analysis approach for investigating daily statistics of countries affected with COVID-19 pandemic


Python particle tracking toolkit

Cooling the Motion of Diamond Nanocrystals in a Magneto-Gravitational Trap in High Vacuum

Measuring NDC80 binding reveals the molecular basis of tension-dependent kinetochore-microtubule attachments

Regulated Activation of the PAR Polarity Network Ensures a Timely and Specific Response to Spatial Cues

Skyrmion Lattice Phases in Thin Film Multilayer

Integrated single- and two-photon light sheet microscopy using accelerating beams

Electrical Polarization Enables Integrative Quality Control during Bacterial Differentiation into Spores

Formation of functional, non-amyloidogenic fibres by recombinant Bacillus subtilis TasA

Dynamics of the vapor layer below a Leidenfrost drop

Physical review. E, Statistical, nonlinear, and soft matter physics

Light Microscopy at Maximal Precision

STREAMING-tag system reveals spatiotemporal relationships between transcriptional regulatory factors and transcriptional activity


COIN-OR Branch-and-Cut solver

Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks

An efficient genotyper and star-allele caller for pharmacogenomics

A Three-Stage Model to Manage Energy Communities, Share Benefits and Provide Local Grid Services

Ecological Robustness-Oriented Grid Network Design for Resilience Against Multiple Hazards

Preprocessing and cutting planes with conflict graphs

Optimal Scheduling for Laboratory Automation of Life Science Experiments with Time Constraints

ROC++: Robust Optimization in C++

Fair Allocation of Indivisible Items with Conflict Graphs

Benchmarking Neuromorphic Hardware and Its Energy Expenditure

Mixed-Integer Optimization for Bio-Inspired Robust Power Network Design


Croissant is a high-level format for machine learning datasets that brings together four rich layers.

Croissant: A Metadata Format for ML-Ready Datasets

DMLR: Data-centric Machine Learning Research -- Past, Present and Future

Data Acquisition: A New Frontier in Data-centric AI

Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos

A Benchmark for Fairness-Aware Graph Learning


A reference client implementation for the playback of MPEG DASH via Javascript and compliant browsers.

Neural Adaptive Video Streaming with Pensieve

SIGCOMM '17: PROCEEDINGS OF THE 2017 CONFERENCE OF THE ACM SPECIAL INTEREST GROUP ON DATA COMMUNICATION

Pano: Optimizing 360° Video Streaming with a Better Understanding of Quality Perception

Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey

Interpreting Deep Learning-Based Networking Systems

TogetherVR: A Framework for Photorealistic Shared Media Experiences in 360-Degree VR

DASH Adaptation Algorithm Based on Adaptive Forgetting Factor Estimation

A DASH-Based Adaptive Multiple Sensorial Content Delivery Solution for Improved User Quality of Experience

Accessibility in 360° video players

EVeREst: Bitrate Adaptation for Cloud VR

PoliFi: Airtime Policy Enforcement for WiFi


Aave Protocol V2

The Blockchain Oracle Problem in Decentralized Finance—A Multivocal Approach

Formal Analysis of Lending Pools in Decentralized Finance

DeFi Risk Transfer: Towards A Fully Decentralized Insurance Protocol

Safeguarding DeFi Smart Contracts against Oracle Deviations

Efficient Liquidity Providing via Margin Liquidity

Remeasuring the Arbitrage and Sandwich Attacks of Maximal Extractable
  Value in Ethereum


MAVLink to ROS gateway with proxy for Ground Control Station

Fast, autonomous flight in GPS-denied and cluttered environments

The MRS UAV System: Pushing the Frontiers of Reproducible Research, Real-world Deployment, and Education with Autonomous Unmanned Aerial Vehicles

Journal of Intelligent and Robotic Systems

Real-Time Visual Tracking of Moving Targets Using a Low-Cost Unmanned Aerial Vehicle with a 3-Axis Stabilized Gimbal System

An Onboard Vision-Based System for Autonomous Landing of a Low-Cost Quadrotor on a Novel Landing Pad

A multirobot system for autonomous deployment and recovery of a blade crawler for operations and maintenance of offshore wind turbine blades

Securing UAV communications using ROS with custom ECIES-based method

2019 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED UAS)

Search Planning of a UAV/UGV Team With Localization Uncertainty in a Subterranean Environment

Implementation of UAV Coordination Based on a Hierarchical Multi-UAV Simulation Platform

An Overview of the Drone Open-Source Ecosystem

Fault-Adaptive Autonomy in Systems with Learning-Enabled Components


Describe and apply transformation on molecular structures and topologies

Martinize2 and Vermouth: Unified Framework for Topology Generation

Phospholipids are imported into mitochondria by VDAC, a dimeric beta barrel scramblase

Dynamic HIV-1 spike motion creates vulnerability for its membrane-bound tripod to antibody attack

Switching Gō-Martinifor Investigating Protein Conformational Transitions and Associated Protein-Lipid Interactions

Extracting time series matching a small-angle X-ray scattering profile from trajectories of molecular dynamics simulations


A high-performance distributed training framework for Reinforcement Learning

Machine learning for intelligent optical networks: A comprehensive survey

Journal of Network and Computer Applications

Learning to run a Power Network Challenge: a Retrospective Analysis

Artificial Intelligence for Prosthetics - challenge solutions

The Springer series on challenges in machine learning

Action Set Based Policy Optimization for Safe Power Grid Management

Efficient and Robust Reinforcement Learning with Uncertainty-based Value Expansion

Effective Multi-Agent Deep Reinforcement Learning Control with Relative Entropy Regularization

OpenGraphGym-MG: Using Reinforcement Learning to Solve Large Graph Optimization Problems on MultiGPU Systems


The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.  This fork is used to manage Swift’s stable releases of Clang as well as support the Swift project.

In-Kernel Control-Flow Integrity on Commodity OSes using ARM Pointer Authentication

Camouflage: Hardware-assisted CFI for the ARM Linux kernel

Representing LLVM-IR in a Code Property Graph

Implementation of Live Reverse Debugging in LLDB


A model generator for energy system modelling and optimisation (LP/MILP).

oemof.solph—A model generator for linear and mixed-integer linear optimisation of energy systems


AMD ROCm™ Software - GitHub Home

A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers

Adaptive Computing in Robotics, Leveraging ROS 2 to Enable Software-Defined Hardware for FPGAs

SPARTA: Spatial Acceleration for Efficient and Scalable Horizontal Diffusion Weather Stencil Computation

ECP SOLLVE: Validation and Verification Testsuite Status Update and Compiler Insight for OpenMP

BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs


Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.

ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis

Deep Learning Based on ACR TI-RADS Can Improve the Differential Diagnosis of Thyroid Nodules

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

Automatic Ethnicity Classification from Middle Part of the Face Using Convolutional Neural Networks

Dopamine neuron morphology and output are differentially controlled by mTORC1 and mTORC2

HateProof: Are Hateful Meme Detection Systems really Robust?

Model-Agnostic Post-Processing Based on Recursive Feedback for Medical Image Segmentation

Climatology of Convective Storms in Estonia from Radar Data and Severe Convective Environments

Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network

German Parliamentary Corpus (GerParCor)


forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs

Learning with Combinatorial Optimization Layers: a Probabilistic Approach

Wave optical model for tomographic volumetric additive manufacturing


The Ocean Navigator is an online tool that is used to help visualise scientific research data. a users guide is available at https://dfo-ocean-navigator.github.io/Ocean-Navigator-Manual/ and the tool is live at


Longformer: The Long-Document Transformer

Fake news detection based on news content and social contexts: a transformer-based approach

International Journal of Data Science and Analytics

DocNLI: A Large-scale Dataset for Document-level Natural Language Inference

MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data

Revisiting Transformer-based Models for Long Document Classification

Globalizing BERT-based Transformer Architectures for Long Document Summarization

Conference of the European Chapter of the Association for Computational Linguistics

An Exploratory Study on Long Dialogue Summarization: What Works and What's Next

"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding

Document Classification for COVID-19 Literature

A New Dataset and Efficient Baselines for Document-level Text Simplification in German

Proceedings of the Third Workshop on New Frontiers in Summarization


Monitor Memory usage of Python code

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

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

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

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

An Analytical Survey on Recent Trends in High Dimensional Data Visualization

Systems Neuroscience Computing in Python (SyNCoPy): A Python Package for Large-scale Analysis of Electrophysiological Data

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


A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)

Tacotron: Towards End-to-End Speech Synthesis

A Survey on Neural Speech Synthesis

VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop

AttS2S-VC: Sequence-to-Sequence Voice Conversion with Attention and Context Preservation Mechanisms

Visualization and Interpretation of Latent Spaces for Controlling Expressive Speech Synthesis through Audio Analysis

Towards Natural Bilingual and Code-Switched Speech Synthesis Based on Mix of Monolingual Recordings and Cross-Lingual Voice Conversion

VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture Design

Towards Natural and Controllable Cross-Lingual Voice Conversion Based on Neural TTS Model and Phonetic Posteriorgram

ItôTTS and ItôWave: Linear Stochastic Differential Equation Is All You Need For Audio Generation

ICE-Talk: an Interface for a Controllable Expressive Talking Machine


An advanced geospatial data analysis platform

Automated Mapping of Transportation Embankments in Fine-Resolution LiDAR DEMs


Marker Clustering plugin for Leaflet

A social media analytics platform visualising the spread of COVID-19 in Italy via exploitation of automatically geotagged tweets

Zenodo (CERN European Organization for Nuclear Research)

EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control

Understanding Public Opinions from Geosocial Media

ISPRS International Journal of Geo-Information

HisVA: A Visual Analytics System for Studying History

Viewing the Progression of the Novel Corona Virus (COVID-19) with NewsStand

Origin-Destination Data: a prototype and related scenarios

Revista Brasileira de Computação Aplicada

Interactive Thematic Map as a Means of Documenting and Visualizing Information about Cultural Heritage Objects

COVID-19 geoviz for spatio-temporal structures detection

CoronaViz: Visualizing Multilayer Spatiotemporal COVID-19 Data with Animated Geocircles


Atomistic Spin Simulation Framework

Emergence of zero-field non-synthetic single and interchained antiferromagnetic skyrmions in thin films

Magnetic domain walls of the van der Waals material Fe3GeTe2

Micromagnetic description of twisted spin spirals in the B20 chiral magnet FeGe from first principles

The AiiDA-Spirit Plugin for Automated Spin-Dynamics Simulations and Multi-Scale Modeling Based on First-Principles Calculations

Intrinsic antiferromagnetic multimeronic Néel spin-textures in ultrathin films


A PyTorch-based Speech Toolkit

SpeechBrain: A General-Purpose Speech Toolkit

Attention is All You Need in Speech Separation

MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement

A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding

ECAPA-TDNN Embeddings for Speaker Diarization

LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech

MetricGAN-U: Unsupervised speech enhancement/ dereverberation based only on noisy/ reverberated speech

Pretext Tasks selection for multitask self-supervised speech representation learning

VenoMave: Targeted Poisoning Against Speech Recognition

MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation


A framework for Bayesian mixing models in R:

Spatial variability of sediment methane production and methanogen communities within a eutrophic reservoir: Importance of organic matter source and quantity

A deconvolutional Bayesian mixing model approach for river basin sediment source apportionment

Coffee and shade trees show complementary use of soil water in a traditional agroforestry ecosystem

When the going gets tough, the tough get going: The enigma of survival strategies in harsh glacial stream environments

Phenological tracking associated with increased salmon consumption by brown bears

Food Web Structure and Trophic Dynamics of a Fish Community in an Ephemeral Floodplain Lake

Isotope hydrology and water sources in a heavily urbanized stream

Use of stable nitrogen isotopes to track plant uptake of nitrogen in a nature-based treatment system

Asymmetrical habitat coupling of an aquatic predator—The importance of individual specialization

Novel Application of a Compound-Specific Stable Isotope (CSSI) Tracking Technique Demonstrates Connectivity Between Terrestrial and Deep-Sea Ecosystems via Submarine Canyons


Image augmentation library in Python for machine learning.

Augmentor: An Image Augmentation Library for Machine Learning

Biomedical image augmentation using Augmentor

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

A comparative study of the effectiveness of using popular DNN object detection algorithms for pith detection in cross-sectional images of parawood

BrainQCNet: a Deep Learning attention-based model for the automated detection of artifacts in brain structural MRI scans

Face Phylogeny Tree Using Basis Functions

Patch augmentation: Towards efficient decision boundaries for neural networks

Measuring the spectral index of turbulent gas with deep learning from projected density maps

Monthly Notices of the Royal Astronomical Society

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

Scalable Modular Synthetic Data Generation for Advancing Aerial Autonomy


Scalable collective authority

Enhancing Bitcoin Security and Performance with Strong Consistency via Collective Signing

Keeping Authorities "Honest or Bust" with Decentralized Witness Cosigning

Survey: Sharding in Blockchains

Raziel: Private and Verifiable Smart Contracts on Blockchains

Secure and Efficient Multi-Signature Schemes for Fabric: An Enterprise Blockchain Platform

Brick: Asynchronous State Channels

Brick: Asynchronous Payment Channels

Privacy-preserving Decentralized Deep Learning with Multiparty Homomorphic Encryption

Drawing the Boundaries Between Blockchain and Blockchain-Like Systems: A Comprehensive Survey on Distributed Ledger Technologies

chainBoost: A Secure Performance Booster for Blockchain-based Resource
  Markets


The codebase of the OpenMS project

Feature-based molecular networking in the GNPS analysis environment

Ten Simple Rules for Taking Advantage of Git and GitHub

Fast and Efficient XML Data Access for Next-Generation Mass Spectrometry

DIAMetAlyzer allows automated false-discovery rate-controlled analysis for data-independent acquisition in metabolomics

MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics

DIA-NN: Neural networks and interference correction enable deep coverage in high-throughput proteomics

OpenMS 3 enables reproducible analysis of large-scale mass spectrometry data.


Fast Elliptic Curve Cryptography in plain javascript

Efficient Private Statistics with Succinct Sketches

Privacy-Friendly Mobility Analytics using Aggregate Location Data

Microwalk-CI

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security

IoT Device Integration and Payment via an Autonomic Blockchain-Based Service for IoT Device Sharing

BaseSAP: Modular Stealth Address Protocol for Programmable Blockchains


PX4 Autopilot Software

The Urban Last Mile Problem: Autonomous Drone Delivery to Your Balcony

Autonomous and Adaptive Navigation for Terrestrial-Aerial Bimodal Vehicles

Model-driven engineering for mobile robotic systems: a systematic mapping study

Avis: In-Situ Model Checking for Unmanned Aerial Vehicles

Search Planning of a UAV/UGV Team With Localization Uncertainty in a Subterranean Environment

An UAV-Based Experimental Setup for Propagation Characterization in Urban Environment

IEEE Transactions on Instrumentation and Measurement

Position and Attitude Estimation Method Integrating Visual Odometer and GPS

Research on Event Accumulator Settings for Event-Based SLAM

Hardware-In-the-Loop Simulation of Time-Delayed Anti-Swing Controller for Quadrotor with Suspended Load

Toward Autonomous Rotation-Aware Unmanned Aerial Grasping


This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

Self-Supervised Learning with Swin Transformers

Shifting More Attention to Visual Backbone: Query-modulated Refinement Networks for End-to-End Visual Grounding

Fast Seismic Landslide Detection Based on Improved Mask R-CNN

OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images

Blending Anti-Aliasing into Vision Transformer

MRL: Learning to Mix with Attention and Convolutions

OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images


Oscar and VinVL

Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks

VinVL: Revisiting Visual Representations in Vision-Language Models

GIT: A Generative Image-to-text Transformer for Vision and Language

Compressing Visual-linguistic Model via Knowledge Distillation

ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition

MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding

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

Concadia: Towards Image-Based Text Generation with a Purpose

Linking Emergent and Natural Languages via Corpus Transfer

Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval


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

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

Trustworthy AI: From Principles to Practices

Adversarial Robustness Toolbox v1.0.0

Membership Leakage in Label-Only Exposures

Optimization problems for machine learning: A survey

European Journal of Operational Research

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

Privacy-Preserving Machine Learning: Methods, Challenges and Directions

Reveal of Vision Transformers Robustness against Adversarial Attacks

Adversarial Examples - A Complete Characterisation of the Phenomenon

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


A mighty CSS linter that helps you avoid errors and enforce conventions.

Fill in the Blank: Context-aware Automated Text Input Generation for Mobile GUI Testing

Owl Eyes: Spotting UI Display Issues via Visual Understanding

International Conference on Automated Software Engineering

Nighthawk: Fully Automated Localizing UI Display Issues via Visual Understanding

IEEE Transactions on Software Engineering

Guided Bug Crush: Assist Manual GUI Testing of Android Apps via Hint Moves

PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22)

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

Replication Package for Article: GLIB: Towards Automated Test Oracle for Graphically-Rich Applications


Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

Image-to-Image Translation with Conditional Adversarial Networks

Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition

Distort-and-Recover: Color Enhancement using Deep Reinforcement Learning

Human segmentation in surveillance video with deep learning

cellSTORM—Cost-effective super-resolution on a cellphone using dSTORM

Generative models: an upcoming innovation in musculoskeletal radiology? A preliminary test in spine imaging

Deep Learning of Cancer Stem Cell Morphology Using Conditional Generative Adversarial Networks

Predicting 21 cm-line map from Lyman-α emitter distribution with generative adversarial networks

DragonPaint: Rule based bootstrapping for small data with an application to cartoon coloring

Indoor Network Generation Using Building Evacuation Maps


Rasterio reads and writes geospatial raster datasets

The Open Global Glacier Model (OGGM) v1.1

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

Squidpy: a scalable framework for spatial single cell analysis

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

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

A Survey on Spatio-temporal Data Analytics Systems

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

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

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

Deep Learning for Detection of Visible Land Boundaries from UAV Imagery


A natural language modeling framework based on PyTorch

Convolutional Neural Networks for Sentence Classification

A Structured Self-attentive Sentence Embedding

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

Evaluating Lottery Tickets Under Distributional Shifts

First-Generation Inference Accelerator Deployment at Facebook

Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog

Empirical Methods in Natural Language Processing

Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog

lingvis.io - A Linguistic Visual Analytics Framework

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

PyText: A Seamless Path from NLP research to production

Evaluating Inter-Bilingual Semantic Parsing for Indian Languages


Technical specifications for the libp2p networking stack

Design and evaluation of IPFS

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

Security Review of Ethereum Beacon Clients

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

Decentralized Inverse Transparency with Blockchain

Distributed Ledger Technologies: Research and Practice

Verification of GossipSub in ACL2s

International Workshop on the ACL2 Theorem Prover and Its Applications


OpenMMLab Computer Vision Foundation

The KFIoU Loss for Rotated Object Detection

Detecting Rotated Objects as Gaussian Distributions and Its 3-D Generalization

SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery

TransKD: Transformer Knowledge Distillation for Efficient Semantic Segmentation

High-Resolution Swin Transformer for Automatic Medical Image Segmentation

An End-to-End Multi-Task Learning Model for Image-based Table Recognition

Federated Self-supervised Learning for Video Understanding

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

Rethinking Image-based Table Recognition Using Weakly Supervised Methods

Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods

Distilling Image Classifiers in Object Detectors


Core Lightning — Lightning Network implementation focusing on spec compliance and performance

High Throughput Cryptocurrency Routing in Payment Channel Networks

Topological Analysis of Bitcoin's Lightning Network

Flash: Efficient Dynamic Routing for Offchain Networks

A comprehensive survey on smart contract construction and execution: paradigms, tools, and systems

A Cryptoeconomic Traffic Analysis of Bitcoin's Lightning Network

Blockchain-Based Payment Channel Networks: Challenges and Recent Advances

How to profit from payments channels

The CLoTH Simulator for HTLC Payment Networks with Introductory Lightning Network Performance Results

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

On the Anonymity of Peer-To-Peer Network Anonymity Schemes Used by Cryptocurrencies


Interface to use R from Python

A transcriptional cross species map of pancreatic islet cells

Synaptotagmin-13 orchestrates pancreatic endocrine cell egression and islet morphogenesis

Possible Ribose Synthesis in Carbonaceous Planetesimals

Meteorites and the RNA World: Synthesis of Nucleobases in Carbonaceous Planetesimals and the Role of Initial Volatile Content

ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior Families

Leaping through tree space: continuous phylogenetic inference for rooted and unrooted trees

arfpy: A python package for density estimation and generative modeling with adversarial random forests

ARULESPY: Exploring Association Rules and Frequent Itemsets in Python

Multimodal Speech Biomarkers for Remote Monitoring of ALS Disease Progression

Spaco: A comprehensive tool for coloring spatial data at single-cell resolution


Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery https://goo.gl/oY5BCQ

SoK: Transparent Dishonesty: Front-Running Attacks on Blockchain

Analysis of cryptocurrency transactions from a network perspective: An overview

ICO investors

Quantitative analysis of cryptocurrencies transaction graph

Disentangling Decentralized Finance (DeFi) Compositions

ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning

The Eye of Horus: Spotting and Analyzing Attacks on Ethereum Smart Contracts

Token Spammers, Rug Pulls, and SniperBots: An Analysis of the Ecosystem of Tokens in Ethereum and the Binance Smart Chain (BNB)

Behavioral structure of users in cryptocurrency market

Temporal network embedding framework with causal anonymous walks representations


files for r4ss package


Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

How does Heterophily Impact the Robustness of Graph Neural Networks?

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

On the Relationship between Heterophily and Robustness of Graph Neural Networks.

On the Evolution of A.I. and Machine Learning: Towards a Meta-level Measuring and Understanding Impact, Influence, and Leadership at Premier A.I. Conferences


Podman: A tool for managing OCI containers and pods.

Chemoton 2.0: Autonomous Exploration of Chemical Reaction Networks

Journal of chemical theory and computation

Understanding and improving artifact sharing in software engineering research

Minimizing Privilege for Building HPC Containers

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

A Qualitative and Quantitative Analysis of Container Engines

bypass4netns: Accelerating TCP/IP Communications in Rootless Containers

Survey of adaptive containerization architectures for HPC


Integrative Genomics Viewer. Fast, efficient, scalable visualization tool for genomics data and annotations

Merqury: reference-free quality, completeness, and phasing assessment for genome assemblies

Classification and clustering of RNA crosslink-ligation data reveal complex structures and homodimers

Pergola: Boosting Visualization and Analysis of Longitudinal Data by Unlocking Genomic Analysis Tools


unofficial git repo -- report bugs/issues/pull requests on https://gitlab.torproject.org/ --

RegulaTor: A Straightforward Website Fingerprinting Defense

Padding-only Defenses Add Delay in Tor

DeTorrent: An Adversarial Padding-only Traffic Analysis Defense

State Machine Frameworks for Website Fingerprinting Defenses: Maybe Not


Configurable Pipeline for the Analysis of Connectomes

A cortical surface-based geodesic distance package for Python

U-net model for brain extraction: Trained on humans for transfer to non-human primates

Moving Beyond Processing and Analysis-Related Variation in Neuroscience

Relationships between Diffusion Tensor Imaging and Resting State Functional Connectivity in Patients with Schizophrenia and Healthy Controls: A Preliminary Study


cuML - RAPIDS Machine Learning Library

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

A Tensor Compiler for Unified Machine Learning Prediction Serving

Bringing UMAP Closer to the Speed of Light with GPU Acceleration

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

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

MisConv: Convolutional Neural Networks for Missing Data

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

GPU Semiring Primitives for Sparse Neighborhood Methods

Experience with PCIe streaming on FPGA for high throughput ML inferencing

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