Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE

Differentiable Learning of Logical Rules for Knowledge Base Reasoning

OpenKE: An Open Toolkit for Knowledge Embedding

Empirical Methods in Natural Language Processing

Knowledge Graph Embedding with Iterative Guidance from Soft Rules

Global RDF Vector Space Embeddings

Knowledge Graph Embedding with Hierarchical Relation Structure

CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion

AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding

Knowledge-guided convolutional networks for chemical-disease relation extraction

Efficient Parallel Translating Embedding For Knowledge Graphs

Proceedings of the International Conference on Web Intelligence

Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder


Lightweight nudity detection

Erasing Concepts from Diffusion Models

Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models

Holistic Evaluation of Text-To-Image Models

FLIRT: Feedback Loop In-context Red Teaming

MemeCap: A Dataset for Captioning and Interpreting Memes

Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models

Mitigating Inappropriateness in Image Generation: Can there be Value in Reflecting the World's Ugliness?

Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation

One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications

Mind-proofing Your Phone: Navigating the Digital Minefield with GreaseTerminator


PRAW, an acronym for "Python Reddit API Wrapper", is a python package that allows for simple access to Reddit's API.

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge

Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences

IEEE Transactions on Knowledge and Data Engineering

RedCaps: web-curated image-text data created by the people, for the people

Dreaddit: A Reddit Dataset for Stress Analysis in Social Media

Navigating the massive world of reddit: Using backbone networks to map user interests in social media

MDIA: A Benchmark for Multilingual Dialogue Generation in 46 Languages

Exploring Online Depression Forums via Text Mining: A Comparison of Reddit and a Curated Online Forum

SlugBot: Developing a Computational Model andFramework of a Novel Dialogue Genre

Understanding who uses Reddit: Profiling individuals with a self-reported bipolar disorder diagnosis

RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media


Using the Output Embedding to Improve Language Models

Pointing the Unknown Words

Edinburgh Neural Machine Translation Systems for WMT 16

Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models

Nematus: a Toolkit for Neural Machine Translation

Linguistic Input Features Improve Neural Machine Translation

Noisy Activation Functions

Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets

Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder

How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs


Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts

Language Models are Unsupervised Multitask Learners

Authorship Attribution for Neural Text Generation

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP)

Patent Claim Generation by Fine-Tuning OpenAI GPT-2

Do Language Models Plagiarize?

The Chess Transformer: Mastering Play using Generative Language Models

Transformer-Based Deep Neural Language Modeling for Construct-Specific Automatic Item Generation

Employing Argumentation Knowledge Graphs for Neural Argument Generation

Meeting of the Association for Computational Linguistics

Harnessing Artificial Intelligence for Health Message Generation: The Folic Acid Message Engine

The Go Transformer: Natural Language Modeling for Game Play

Items from Psychometric Tests as Training Data for Personality Profiling Models of Twitter Users


1st place solution

Recurrent Neural Networks for Time Series Forecasting: Current status and future directions

Probabilistic Forecasting with Temporal Convolutional Neural Network

Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation

Monash Time Series Forecasting Archive

Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices

Web Traffic Time Series Forecasting Using LSTM Neural Networks with Distributed Asynchronous Training

Ensembles of Localised Models for Time Series Forecasting

Parameter Efficient Deep Probabilistic Forecasting

An accurate and fully-automated ensemble model for weekly time series forecasting

Short-Term Load Forecasting in a microgrid environment: Investigating the series-specific and cross-learning forecasting methods


Algorithm to implement Fraction and Copy number Estimate from Tumor/normal Sequencing.

Copy number signature analysis tool and its application in prostate cancer reveals distinct mutational processes and clinical outcomes

Whole genome sequencing of skull-base chordoma reveals genomic alterations associated with recurrence and chordoma-specific survival

The genomic and epigenomic evolutionary history of papillary renal cell carcinomas

Genetic Characteristics Associated With Drug Resistance in Lung Cancer and Colorectal Cancer Using Whole Exome Sequencing of Cell-Free DNA


Language-agnostic HTTP API Testing Tool

Automated test generation for REST APIs: no time to rest yet

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

Testing RESTful APIs: A Survey

Open Problems in Fuzzing RESTful APIs: A Comparison of Tools

Testing Real-World Healthcare IoT Application: Experiences and Lessons Learned

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Adaptive REST API Testing with Reinforcement Learning

Leveraging Large Language Models to Improve REST API Testing

Top-Down Model-Driven Engineering of Web Services from Extended OpenAPI Models

PROCEEDINGS OF THE 2018 33RD IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMTED SOFTWARE ENGINEERING (ASE' 18)


Probabilistic time series modeling in Python

WaveNet: A Generative Model for Raw Audio

Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting

Deep State Space Models for Time Series Forecasting

Forecasting: theory and practice

A Multi-Horizon Quantile Recurrent Forecaster

CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation

Intensity-Free Learning of Temporal Point Processes

Long-term Forecasting with TiDE: Time-series Dense Encoder

GluonTS: Probabilistic Time Series Models in Python

TSMixer: An All-MLP Architecture for Time Series Forecasting


The Language-Integrated Quantum Operations (LIQUi|>) Simulator

Quantum Resource Estimates for Computing Elliptic Curve Discrete Logarithms

Statistical Assertions for Validating Patterns and Finding Bugs in Quantum Programs

PROCEEDINGS OF THE 2019 46TH INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE (ISCA '19)

QDB: From Quantum Algorithms Towards Correct Quantum Programs


Programmable CUDA/C++ GPU Graph Analytics

GraphR: Accelerating Graph Processing Using ReRAM

Multi-GPU Graph Analytics

Characterizing and Detecting CUDA Program Bugs

SURF: Direction-Optimizing Breadth-First Search Using Workload State on GPUs

BOBA: A Parallel Lightweight Graph Reordering Algorithm with Heavyweight Implications


Gaussian processes in TensorFlow

A Tutorial on Bayesian Optimization

Gaussian Processes for Big Data

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

GPflow: A Gaussian process library using TensorFlow

Convolutional Gaussian Processes

A Framework for Interdomain and Multioutput Gaussian Processes

Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction

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

AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models

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


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

Parallelization of dynamic languages: synchronizing built-in collections

Proceedings of the ACM on Programming Languages

Threaded Code Generation with a Meta-Tracing JIT Compiler

SecV: Secure Code Partitioning via Multi-Language Secure Values

Proceedings of the 24th International Middleware Conference on ZZZ


Abseil Common Libraries (C++)

Number Parsing at a Gigabyte per Second

Fine-Tuning Data Structures for Analytical Query Processing

GraphTango: A Hybrid Representation Format for Efficient Streaming Graph Updates and Analysis


A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression

Object Detection in Remote Sensing Images Based on Improved Bounding Box Regression and Multi-Level Features Fusion

Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints

Panoramic Robust PCA for Foreground-Background Separation on Noisy, Free-Motion Camera Video

Reduced Focal Loss: 1st Place Solution to xView object detection in Satellite Imagery

Context-Aware Zero-Shot Recognition


Evaluation of the CNN design choices performance on ImageNet-2012.

Systematic evaluation of convolution neural network advances on the Imagenet

FReLU: Flexible Rectified Linear Units for Improving Convolutional Neural Networks

Deep learning in electron microscopy

Machine Learning: Science and Technology

Analysis and Optimization of Convolutional Neural Network Architectures

One-Way Prototypical Networks


Reference implementations of popular deep learning models.

Deep Residual Learning for Image Recognition

Xception: Deep Learning with Depthwise Separable Convolutions

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

Deep learning-based algorithm for lung cancer detection on chest radiographs using the segmentation method

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

Generalization bounds for deep learning

Toward Deep Learning Based Access Control

Proceedings of the Twelfth ACM Conference on Data and Application Security and Privacy

Impact of Thermal Throttling on Long-Term Visual Inference in a CPU-based Edge Device

Improving Neural Network Training in Low Dimensional Random Bases

Automatic Fault Detection for Deep Learning Programs Using Graph Transformations


Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking

PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation

Temporal Disentangled Contrastive Diffusion Model for Spatiotemporal
  Imputation

Online and Real-time Object Tracking Algorithm with Extremely Small Matrices


FSA/FST algorithms, differentiable, with PyTorch compatibility.

SpeechBrain: A General-Purpose Speech Toolkit

Pruned RNN-T for fast, memory-efficient ASR training

Towards Universal Speech Discrete Tokens: A Case Study for ASR and TTS

CTC Variations Through New WFST Topologies

The History of Speech Recognition to the Year 2030

DiffVoice: Text-to-Speech with Latent Diffusion

Lhotse: a speech data representation library for the modern deep learning ecosystem

Consistent Training and Decoding for End-to-End Speech Recognition Using Lattice-Free MMI

Differentiable Allophone Graphs for Language-Universal Speech Recognition

Bayes risk CTC: Controllable CTC alignment in Sequence-to-Sequence tasks


The Python micro framework for building web applications.

Machine learning–based identification of hip arthroplasty designs

The Performance of the Robo-AO Laser Guide Star Adaptive Optics System at the Kitt Peak 2.1 m Telescope

DeepStreaks: identifying fast-moving objects in the Zwicky Transient Facility data with deep learning

Monthly Notices of the Royal Astronomical Society

Decentralized Lightweight Detection of Eclipse Attacks on Bitcoin Clients

Might I Get Pwned: A Second Generation Compromised Credential Checking Service

AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark

NewsPod: Automatic and Interactive News Podcasts

International Conference on Intelligent User Interfaces

Simplifying the OpenFlexure microscope software with the web of things

Securing Open Banking with Model-View-Controller Architecture and OWASP

Wireless Communications and Mobile Computing

Unsupervised Evaluation of Code LLMs with Round-Trip Correctness


Automatically exported from code.google.com/p/cuda-convnet2

Do ImageNet Classifiers Generalize to ImageNet?

Dataset Distillation

PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions

Training Spiking Deep Networks for Neuromorphic Hardware

Extracellular space preservation aids the connectomic analysis of neural circuits

A Deep Convolutional Auto-Encoder with Pooling - Unpooling Layers in Caffe

A Survey on Deep Learning Methods for Robot Vision

Creation of a Deep Convolutional Auto-Encoder in Caffe

Large Scale Kernel Learning using Block Coordinate Descent

Breaking Locality Accelerates Block Gauss-Seidel


Create mutation signatures from MAF's, and decompose them into Stratton signatures

Mutational landscape of metastatic cancer revealed from prospective clinical sequencing of 10,000 patients

Phase and context shape the function of composite oncogenic mutations

Pan-cancer identification of clinically relevant genomic subtypes using outcome-weighted integrative clustering

Expanded genetic testing of GIST patients identifies high proportion of non-syndromic patients with germline alterations

Reversion mutations in germline BRCA1/2-mutant tumors reveal a BRCA-mediated phenotype in non-canonical histologies


Learning skillful medium-range global weather forecasting

WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Neural General Circulation Models

Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh

Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán

Predictability Limit of the 2021 Pacific Northwest Heatwave from
  Deep-Learning Sensitivity Analysis


the official Rust and C implementations of the BLAKE3 cryptographic hash function

uBFT: Microsecond-Scale BFT using Disaggregated Memory

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2

Key Event Receipt Infrastructure (KERI)

Practical Encrypted Computing for IoT Clients

Areion: Highly-Efficient Permutations and Its Applications to Hash Functions for Short Input

IACR Transactions on Cryptographic Hardware and Embedded Systems

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

Smart Red Belly Blockchain: Enhanced Transaction Management for Decentralized Applications


Transportation planning and traffic simulation software for creating cities friendlier to walking, biking, and public transit

Open source tools for geographic analysis in transport planning


Python module for quantum chemistry

Recent developments in the PySCF program package

Theoretical prediction of magnetic exchange coupling constants from broken-symmetry coupled cluster calculations

Towards an exact electronic quantum many-body treatment of Kondo
  correlation in magnetic impurities

Interacting-bath dynamical embedding for capturing non-local electron
  correlation in solids

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


A Proof-oriented Programming Language

Dijkstra Monads for All

A monadic framework for relational verification: applied to information security, program equivalence, and optimizations

Aeneas: Rust verification by functional translation

Proceedings of the ACM on programming languages

Giallar: Push-Button Verification for the Qiskit Quantum Compiler

WYS*: A DSL for Verified Secure Multi-party Computations

Verification of a Merkle Patricia Tree Library Using F*

How to Safely Use Extensionality in Liquid Haskell

Identifying Overly Restrictive Matching Patterns in SMT-based Program Verifiers (Extended Version)


Python Lex-Yacc

Feature-Based Software Design Pattern Detection

GLITCH: Automated Polyglot Security Smell Detection in Infrastructure as Code

Symmetry reduction of tensor networks in many-body theory I. Automated symbolic evaluation of SU(2) algebra

Semantic Systems. In the Era of Knowledge Graphs: 16th International Conference on Semantic Systems, SEMANTiCS 2020, Amsterdam, The Netherlands, September 7–10, 2020, Proceedings

MINDS: A Translator to Embed Mathematical Expressions Inside SPARQL Queries

Deciding Differential Privacy of Online Algorithms with Multiple Variables

Polyglot Code Smell Detection for Infrastructure as Code with GLITCH


An open autonomous driving platform

DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars

A Survey of Autonomous Driving: Common Practices and Emerging Technologies

Formal Security Analysis of Neural Networks using Symbolic Intervals

Baidu Apollo EM Motion Planner

Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks

SAVIOR: Towards Bug-Driven Hybrid Testing

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems

A Survey on Multimodal Large Language Models for Autonomous Driving

Drift with Devil: Security of Multi-Sensor Fusion based Localization in High-Level Autonomous Driving under GPS Spoofing

Augmented LiDAR Simulator for Autonomous Driving

International Conference on Robotics and Automation


An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io/vallex/

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

AudioLM: a Language Modeling Approach to Audio Generation

Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modeling

Amphion: An Open-Source Audio, Music and Speech Generation Toolkit

ZMM-TTS: Zero-shot Multilingual and Multispeaker Speech Synthesis Conditioned on Self-supervised Discrete Speech Representations

SimpleSpeech: Towards Simple and Efficient Text-to-Speech with Scalar
  Latent Transformer Diffusion Models

Improving Robustness of LLM-based Speech Synthesis by Learning Monotonic Alignment

SimpleSpeech 2: Towards Simple and Efficient Text-to-Speech with Flow-based Scalar Latent Transformer Diffusion Models


New generation entropy codecs : Finite State Entropy and Huff0

Asymmetric numeral systems: entropy coding combining speed of Huffman coding with compression rate of arithmetic coding

Sprintz: Time Series Compression for the Internet of Things

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Lightweight compression with encryption based on Asymmetric Numeral
  Systems

A Review of the Asymmetric Numeral System and Its Applications to Digital Images

Encoding of probability distributions for Asymmetric Numeral Systems

Designing dedicated data compression for physics experiments within FPGA already used for data acquisition

Compressing Colour Images with Joint Inpainting and Prediction

The Efficiency of the ANS Entropy Encoding

Rice-Marlin Codes: Tiny and Efficient Variable-to-Fixed Codes

High-Throughput Variable-to-Fixed Entropy Codec Using Selective, Stochastic Code Forests


Online machine learning in Python

Green AI

River: machine learning for streaming data in Python

pyWATTS: Python Workflow Automation Tool for Time Series

PySAD: A Streaming Anomaly Detection Framework in Python

Incremental Learning Techniques for Online Human Activity Recognition

SAM-kNN Regressor for Online Learning in Water Distribution Networks

German Text Embedding Clustering Benchmark

Modelling the transition to a low-carbon energy supply


The lxml XML toolkit for Python

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

My Turn To Read: An Interleaved E-book Reading Tool for Developing and Struggling Readers

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

GIRT-Data: Sampling GitHub Issue Report Templates

Accessing United States Bulk Patent Data with patentpy and patentr

Structured Extraction of Terms and Conditions from German and English Online Shops

Proceedings of The Fifth Workshop on e-Commerce and NLP (ECNLP 5)


Open-source, non-custodial, privacy preserving Bitcoin wallet for Windows, Linux, and Mac.

Adoption and Actual Privacy of Decentralized CoinJoin Implementations in Bitcoin

Pinpointing and Measuring Wasabi and Samourai CoinJoins in the Bitcoin Ecosystem.

Heuristics for Detecting CoinJoin Transactions on the Bitcoin Blockchain


Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

SimpleDS: A Simple Deep Reinforcement Learning Dialogue System

Deep-Spying: Spying using Smartwatch and Deep Learning

Bootstrapping incremental dialogue systems: using linguistic knowledge to learn from minimal data

Front-end deep learning web apps development and deployment: a review

Applied intelligence (Dordrecht, Netherlands)

CrossCheck: Rapid, Reproducible, and Interpretable Model Evaluation

Fabrik: An Online Collaborative Neural Network Editor

Using Open-Source Software for Business, Urban, and Other Applications of Deep Neural Networks, Machine Learning, and Data Analytics Tools

International Journal of Artificial Intelligence and Machine Learning


Automated auditing, performance metrics, and best practices for the web.

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

Toward Using Package Centrality Trend to Identify Packages in Decline

Farsight: Fostering Responsible AI Awareness During AI Application Prototyping

Proceedings of the CHI Conference on Human Factors in Computing Systems

Implications of Edge Computing for Static Site Generation

Perceived Performance of Webpages In the Wild: Insights from Large-scale Crowdsourcing of Above-the-Fold QoE

FP-Fed: Privacy-Preserving Federated Detection of Browser Fingerprinting

Measuring Corporate Digital Divide with web scraping: Evidence from Italy

Chrowned by an Extension: Abusing the Chrome DevTools Protocol through the Debugger API


Squeeze-and-Excitation Networks

Squeeze-and-Excitation Networks

Graph Neural Networks for Image Understanding Based on Multiple Cues: Group Emotion Recognition and Event Recognition as Use Cases

Super Characters: A Conversion from Sentiment Classification to Image Classification

What makes a popular academic AI repository?

Zenodo (CERN European Organization for Nuclear Research)

Discriminative Residual Analysis for Image Set Classification With Posture and Age Variations

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

SuperChat: Dialogue Generation by Transfer Learning from Vision to Language using Two-dimensional Word Embedding and Pretrained ImageNet CNN Models

Proceedings of the 1st International Workshop on Deep Learning Practice for High-Dimensional Sparse Data

SuperCaptioning: Image Captioning Using Two-dimensional Word Embedding

A Systematic Review of Facial Expression Detection Methods


Trying to tame the three-headed dog.

On Attacking Kerberos Authentication Protocol in Windows Active Directory Services: A Practical Survey

Investigating the Ecosystem of Offensive Information Security Tools


A library of reinforcement learning components and agents

Acme: A Research Framework for Distributed Reinforcement Learning

Contrastive Learning as Goal-Conditioned Reinforcement Learning

Munchausen Reinforcement Learning

AndroidEnv: A Reinforcement Learning Platform for Android

NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields

Reverb: A Framework For Experience Replay

Chain of Thought Imitation with Procedure Cloning

Optimal Transport for Offline Imitation Learning

RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning

Finetuning from Offline Reinforcement Learning: Challenges, Trade-offs and Practical Solutions


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


Text recognition (optical character recognition) with deep learning methods, ICCV 2019

What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis

Text Recognition in the Wild: A Survey

SCATTER: Selective Context Attentional Scene Text Recognizer

TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text

What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels

SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models

Exploring Stroke-Level Modifications for Scene Text Editing

Out-of-Vocabulary Challenge Report

COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated Texts

Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition


An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics

Spatial proteogenomics reveals distinct and evolutionarily conserved hepatic macrophage niches

Diversity and function of motile ciliated cell types within ependymal lineages of the zebrafish brain

Analysis of Robust Functions for Registration Algorithms

Present and Future of SLAM in Extreme Underground Environments

Single-cell spatial transcriptomics reveals a dynamic control of metabolic zonation and liver regeneration by endothelial cell Wnt2 and Wnt9b

Lidar Measurement Bias Estimation via Return Waveform Modelling in a Context of 3D Mapping

Fast and Accurate Point Cloud Registration using Trees of Gaussian Mixtures

Kilometer-scale autonomous navigation in subarctic forests: challenges and lessons learned

Geometry Preserving Sampling Method Based on Spectral Decomposition for Large-Scale Environments

Gravity-constrained point cloud registration


Google Play Unofficial Python API - This project was a PoC and is not maintained anymore. Please feel free to fork it and improve it in any way.

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

DaDiDroid: An Obfuscation Resilient Tool for Detecting Android Malware via Weighted Directed Call Graph Modelling

Call Graph and Model Checking for Fine-Grained Android Malicious Behaviour Detection

A First Look at Ad Blocking Apps on Google Play


RISC-V Opcodes


Randomized testing for Go

The Art, Science, and Engineering of Fuzzing: A Survey

HFContractFuzzer: Fuzzing Hyperledger Fabric Smart Contracts for Vulnerability Detection

Testing RESTful APIs: A Survey

Static Race Detection and Mutex Safety and Liveness for Go Programs (extended version)

REST API Fuzzing by Coverage Level Guided Blackbox Testing

Configuring Test Generators using Bug Reports: A Case Study of GCC Compiler and Csmith

K-CONFIG: Using Failing Test Cases to Generate Test Cases in GCC Compilers


Bayesian optimisation & Reinforcement Learning library developped by Huawei Noah's Ark Lab

HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning

Tree-Structured Parzen Estimator: Understanding Its Algorithm Components and Their Roles for Better Empirical Performance

Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation

Toward real-world automated antibody design with combinatorial Bayesian optimization

PFNs4BO: In-Context Learning for Bayesian Optimization

Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief

AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation

Are we Forgetting about Compositional Optimisers in Bayesian Optimisation?

Effects of Safety State Augmentation on Safe Exploration


This repository is moving to: https://github.com/npm/cli

We don't need another hero?

Lags in the release, adoption, and propagation of npm vulnerability fixes

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

Flexible and Optimal Dependency Management via Max-SMT

Using Answer Set Programming for HPC Dependency Solving

GHTraffic: A Dataset for Reproducible Research in Service-Oriented Computing


The Python ensemble sampling toolkit for affine-invariant MCMC

emcee: The MCMC Hammer

Publications of the Astronomical Society of the Pacific

Helium in the eroding atmosphere of an exoplanet

A temperate rocky super-Earth transiting a nearby cool star

A rocky planet transiting a nearby low-mass star

On the detection of a cosmic dawn signal in the radio background

Multiwavelength analysis for interferometric (sub-)mm observations of protoplanetary disks - Radial constraints on the dust properties and the disk structure

An extended hydrogen envelope of the extremely hot giant exoplanet KELT-9b

Strong dependence of Type Ia supernova standardization on the local specific star formation rate

An absolute sodium abundance for a cloud-free 'hot Saturn' exoplanet

A candidate super-Earth planet orbiting near the snow line of Barnard’s star


JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

Development and Progress in Sensors and Technologies for Human Emotion Recognition

A Multimodal Human-Computer Interaction System and Its Application in Smart Learning Environments

Towards Understanding the Faults of JavaScript-Based Deep Learning Systems

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering

Augmenting Social Science Research with Multimodal Data Collection: The EZ-MMLA Toolkit

Architecture of cross-platform videoconferencing system with automatic recognition of user emotions

IOP Conference Series: Materials Science and Engineering


Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Highly accurate protein structure prediction with AlphaFold

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

FLEX: Unifying Evaluation for Few-Shot NLP

Vetting of 384 TESS Objects of Interest with TRICERATOPS and Statistical Validation of 12 Planet Candidates

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

Understanding Rare Spurious Correlations in Neural Networks

Exempla Gratis (E.G.): Code Examples for Free

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


TJPCov is a general covariance calculator interface to be used within LSST DESC

Transitioning from Stage-III to Stage-IV: Cosmology from galaxy×CMB lensing and shear×CMB lensing

The catalog-to-cosmology framework for weak lensing and galaxy clustering for LSST

Galaxy blending effects in deep imaging cosmic shear probes of cosmology

Intrinsic alignment from multiple shear estimates: A first application to data and forecasts for Stage IV


A data standard to enable right-of-way regulation and two-way communication between mobility companies and local governments.

Digital Twins From Smart Manufacturing to Smart Cities: A Survey


A technical report on convolution arithmetic in the context of deep learning

A guide to convolution arithmetic for deep learning

CASI: A Convolutional Neural Network Approach for Shell Identification

Braille Recognition for Reducing Asymmetric Communication between the Blind and Non-Blind

SCN: A Novel Shape Classification Algorithm Based on Convolutional Neural Network

Master's Thesis : Deep Learning for Visual Recognition

Representation Learning for Content-Sensitive Anomaly Detection in Industrial Networks

Off-By-One Implementation Error in J-UNIWARD


Modularized Implementation of Deep RL Algorithms in PyTorch

Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations

Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning

PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning

GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values

Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks

DAC: The Double Actor-Critic Architecture for Learning Options

Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation

Generalized Off-Policy Actor-Critic

Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning

Breaking the Deadly Triad with a Target Network


A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias

Adversarial Robustness Toolbox v1.0.0

Bias in Machine Learning Software: Why? How? What to do?

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

Bias and Discrimination in AI: A Cross-Disciplinary Perspective

A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts

Fairway: A Way to Build Fair ML Software

Fair Bayesian Optimization

Fairness via Representation Neutralization

The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations

Conference on Fairness, Accountability and Transparency


Production First and Production Ready End-to-End Speech Recognition Toolkit

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Conformer: Convolution-augmented Transformer for Speech Recognition

w2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training

WeNet: Production Oriented Streaming and Non-Streaming End-to-End Speech Recognition Toolkit

WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition

Self-supervised Learning with Random-projection Quantizer for Speech Recognition

WeNet 2.0: More Productive End-to-End Speech Recognition Toolkit

Unified Streaming and Non-streaming Two-pass End-to-end Model for Speech Recognition

FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN

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

U2++: Unified Two-pass Bidirectional End-to-end Model for Speech Recognition


starter from "How to Train a GAN?" at NIPS2016

NIPS 2016 Tutorial: Generative Adversarial Networks

A high-bias, low-variance introduction to Machine Learning for physicists

A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

LOGAN: Membership Inference Attacks Against Generative Models

Adversarial Representation Learning for Text-to-Image Matching

CapsuleGAN: Generative Adversarial Capsule Network

An Introduction to Image Synthesis with Generative Adversarial Nets

Intriguing properties of adversarial training at scale

GANs for Biological Image Synthesis

Symbolic Music Genre Transfer with CycleGAN


Brood War API

MazeBase: A Sandbox for Learning from Games

Macro action selection with deep reinforcement learning in StarCraft

Combat Models for RTS Games

Multi-platform Version of StarCraft: Brood War in a Docker Container: Technical Report

Automatic Observer Script for StarCraft: Brood War Bot Games (technical report)

The Design Of "Stratega": A General Strategy Games Framework

DeepFoldit -- A Deep Reinforcement Learning Neural Network Folding Proteins

Learning Macromanagement in Starcraft by Deep Reinforcement Learning


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

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

IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Agile SoC Development with Open ESP : Invited Paper

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

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

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

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

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

Using LLMs to Facilitate Formal Verification of RTL

Analysis of Single Board Architectures Integrating Sensors Technologies

Optimizing Design Verification using Machine Learning: Doing better than Random

Assessment of Reinforcement Learning for Macro Placement

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


Open-source vector similarity search for Postgres

PASE: PostgreSQL Ultra-High-Dimensional Approximate Nearest Neighbor Search Extension

SIGMOD'20: PROCEEDINGS OF THE 2020 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Vector Search with OpenAI Embeddings: Lucene Is All You Need

MeTMaP: Metamorphic Testing for Detecting False Vector Matching Problems in LLM Augmented Generation

Agent-OM: Leveraging LLM Agents for Ontology Matching

Evaluating the Impact of Advanced LLM Techniques on AI-Lecture Tutors for a Robotics Course


TensorFlow for R

NeuralSens: Sensitivity Analysis of Neural Networks

Deep Compositional Spatial Models

Deep integro-difference equation models for spatio-temporal forecasting

A Detailed Catalogue of Multi-Omics Methodologies for Identification of Putative Biomarkers and Causal Molecular Networks in Translational Cancer Research

International journal of molecular sciences

Modeling Nonstationary and Asymmetric Multivariate Spatial Covariances via Deformations

Ensemble Methods for Native Language Identification

Workshop on Innovative Use of NLP for Building Educational Applications

Constructing large nonstationary spatio-temporal covariance models via compositional warpings


Sequence modeling benchmarks and temporal convolutional networks

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

TS2Vec: Towards Universal Representation of Time Series

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction

Deep Reinforcement Learning

Stable Recurrent Models

Measuring Depression Symptom Severity from Spoken Language and 3D Facial Expressions

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective

A Survey on Time-Series Pre-Trained Models


pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

The PyTorch-Kaldi Speech Recognition Toolkit

Quaternion Recurrent Neural Networks

Interpretable Convolutional Filters with SincNet

Twin Networks: Matching the Future for Sequence Generation

Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps

Learning to Fool the Speaker Recognition

Bidirectional Quaternion Long-Short Term Memory Recurrent Neural Networks for Speech Recognition

Speech recognition with quaternion neural networks

Quaternion Neural Networks for Multi-channel Distant Speech Recognition

Twin Regularization for online speech recognition


Official data on the COVID-19 epidemic in Malaysia. Powered by CPRC, CPRC Hospital System, MKAK, and MySejahtera.

Risk of serious adverse events after the BNT162b2, CoronaVac, and ChAdOx1 vaccines in Malaysia: A self-controlled case series study

The Prevalence and Work-Related Factors of Burnout Among Public Health Workforce During the COVID-19 Pandemic

Journal of occupational and environmental medicine

Incidence, Prevalence, and Sources of COVID-19 Infection among Healthcare Workers in Hospitals in Malaysia

International journal of environmental research and public health

Characterisation of COVID-19 deaths by vaccination types and status in Malaysia between February and September 2021

The Lancet regional health. Western Pacific

Assessment of Heterologous and Homologous Boosting With Inactivated COVID-19 Vaccine at 3 Months Compared With Homologous Boosting of BNT162b2 at 6 Months

Investigating Linkages Between Spatiotemporal Patterns of the COVID-19 Delta Variant and Public Health Interventions in Southeast Asia: Prospective Space-Time Scan Statistical Analysis Method

Estimating the COVID-19 mortality burden over two full years of the pandemic in Malaysia

Whole genome sequencing analysis of SARS-CoV-2 from Malaysia: From alpha to Omicron

A network analysis and support vector regression approaches for visualising and predicting the COVID-19 outbreak in Malaysia

Myocarditis/pericarditis following vaccination with BNT162b2, CoronaVac, and ChAdOx1 among adolescent and adult in Malaysia


Intel SGX for Linux*

Software Grand Exposure: SGX Cache Attacks Are Practical

Towards Scaling Blockchain Systems via Sharding

Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contracts

SgxPectre: Stealing Intel Secrets From SGX Enclaves via Speculative Execution

Chiron: Privacy-preserving Machine Learning as a Service

Occlum: Secure and Efficient Multitasking Inside a Single Enclave of Intel SGX

TWENTY-FIFTH INTERNATIONAL CONFERENCE ON ARCHITECTURAL SUPPORT FOR PROGRAMMING LANGUAGES AND OPERATING SYSTEMS (ASPLOS XXV)

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

An Off-Chip Attack on Hardware Enclaves via the Memory Bus

Single Trace Attack Against RSA Key Generation in Intel SGX SSL

PROCEEDINGS OF THE 2018 ACM ASIA CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (ASIACCS'18)

MAGE: Mutual Attestation for a Group of Enclaves without Trusted Third Parties


Python library for processing Chinese text

Exploiting investors social network for stock prediction in China's market

Building and Using Personal Knowledge Graph to Improve Suicidal Ideation Detection on Social Media

Multi-Source Pointer Network for Product Title Summarization

Temporal Dynamics of Public Emotions During the COVID-19 Pandemic at the Epicenter of the Outbreak: Sentiment Analysis of Weibo Posts From Wuhan

LOT: A Story-Centric Benchmark for Evaluating Chinese Long Text Understanding and Generation

The Impact of Public Health Events on COVID-19 Vaccine Hesitancy on Chinese Social Media: National Infoveillance Study

Towards a Universal Sentiment Classifier in Multiple languages

Empirical Methods in Natural Language Processing

Internet Public Opinion Evolution in the COVID-19 Event and Coping Strategies

Disaster medicine and public health preparedness

fastHan: A BERT-based Multi-Task Toolkit for Chinese NLP

Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff


Twitter NLP Tools

Named Entity Recognition in Tweets: An Experimental Study

A Survey on Deep Learning for Named Entity Recognition

Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters

North American Chapter of the Association for Computational Linguistics

SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)

SlugNERDS: A Named Entity Recognition Tool for Open Domain Dialogue Systems

Location reference recognition from texts: A survey and comparison

Opinion Conflicts: An Effective Route to Detect Incivility in Twitter

Twitter at the Grammys: A Social Media Corpus for Entity Linking and Disambiguation

Feature-Rich Twitter Named Entity Recognition and Classification

International Conference on Computational Linguistics

Lithium NLP: A System for Rich Information Extraction from Noisy User Generated Text on Social Media


NLP made easy

Attention Is All You Need

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

GloVe: Global Vectors for Word Representation

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

Convolutional Neural Networks for Sentence Classification

Deep contextualized word representations

Enriching Word Vectors with Subword Information

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

Bag of Tricks for Efficient Text Classification

A Structured Self-attentive Sentence Embedding


High-Resolution Image Synthesis with Latent Diffusion Models

LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Pseudo Numerical Methods for Diffusion Models on Manifolds

Fast Sampling of Diffusion Models with Exponential Integrator

Semi-Parametric Neural Image Synthesis

DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models

Q-Diffusion: Quantizing Diffusion Models

Diffusion Probabilistic Model Made Slim

Towards the Detection of Diffusion Model Deepfakes

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


PyTorch implementation of Super SloMo by Jiang et al.

Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation

Channel Attention Is All You Need for Video Frame Interpolation

THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Quadratic video interpolation

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

Deep Animation Video Interpolation in the Wild

V2E: From video frames to realistic DVS event camera streams.

ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation

Motion-based frame interpolation for film and television effects

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

Video Interpolation and Prediction with Unsupervised Landmarks


WaveNet vocoder

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

Adversarial Audio Synthesis

ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech

A Survey on Neural Speech Synthesis

ESPnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit

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

The 2020 ESPnet Update: New Features, Broadened Applications, Performance Improvements, and Future Plans

Towards Robust Neural Vocoding for Speech Generation: A Survey

Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics

Parametric Resynthesis with neural vocoders


Ibex is a small 32 bit RISC-V CPU core, previously known as zero-riscy.

SoK: Design Tools for Side-Channel-Aware Implementations

Don't CWEAT It

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design

Composite Enclaves: Towards Disaggregated Trusted Execution

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

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

Threshold Implementations in Software: Micro-architectural Leakages in Algorithms

IACR Transactions on Cryptographic Hardware and Embedded Systems

Extending the RISC-V ISA for exploring advanced reconfigurable SIMD instructions

A Scalable Formal Verification Methodology for Data-Oblivious Hardware

eLIMInate: a Leakage-focused ISE for Masked Implementation

A Method for Comparative Analysis of Trusted Execution Environments


Fast, flexible and fun neural networks.

Training Very Deep Networks

Recurrent Highway Networks

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

Deep-Spying: Spying using Smartwatch and Deep Learning


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


Reference models and tools for Cloud TPUs.

MobileNetV2: Inverted Residuals and Linear Bottlenecks

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

RandAugment: Practical automated data augmentation with a reduced search space

MnasNet: Platform-Aware Neural Architecture Search for Mobile

Regularized Evolution for Image Classifier Architecture Search

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Self-training with Noisy Student improves ImageNet classification

Unsupervised Data Augmentation for Consistency Training

AutoAugment: Learning Augmentation Policies from Data

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection


Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Image Super-Resolution by Neural Texture Transfer

Is the deconvolution layer the same as a convolutional layer?

Maintaining Natural Image Statistics with the Contextual Loss

SRPGAN: Perceptual Generative Adversarial Network for Single Image Super Resolution

Journey Towards Tiny Perceptual Super-Resolution

Improved SRGAN for Remote Sensing Image Super-Resolution Across Locations and Sensors

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

AIM 2020 Challenge on Image Extreme Inpainting

Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art


ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型

GLM: General Language Model Pretraining with Autoregressive Blank Infilling

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

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All
  Tools

Comprehensive Assessment of Jailbreak Attacks Against LLMs

Understanding LLMs: A Comprehensive Overview from Training to Inference

A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems

ChemLLM: A Chemical Large Language Model

A Survey of the Evolution of Language Model-Based Dialogue Systems

Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialogue

AviationGPT: A Large Language Model for the Aviation Domain


Gnucash for Android mobile companion application.

It Takes Two to TANGO: Combining Visual and Textual Information for Detecting Duplicate Video-Based Bug Reports

Enhancing Mobile App Bug Reporting via Real-Time Understanding of Reproduction Steps

M3triCity: Visualizing Evolving Software & Data Cities

Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: Companion Proceedings

Semantic GUI Scene Learning and Video Alignment for Detecting Duplicate Video-based Bug Reports


Node.js scraper to get data from Google Play

User Experiences of Social Support From Companion Chatbots in Everyday Contexts: Thematic Analysis

User Experience of Cognitive Behavioral Therapy Apps for Depression: An Analysis of App Functionality and User Reviews

User-documented food consumption data from publicly available apps: an analysis of opportunities and challenges for nutrition research

User Perspectives of Mood-Monitoring Apps Available to Young People: Qualitative Content Analysis

Clinician Perspectives and Design Implications in Using Patient-Generated Health Data to Improve Mental Health Practices: Mixed Methods Study

Real‐world data using mHealth apps in rhinitis, rhinosinusitis and their multimorbidities

Rating analysis and BERTopic modeling of consumer versus regulated mHealth app reviews in Germany

Where is Your App Frustrating Users?

Proceedings of the 44th International Conference on Software Engineering

Mobile Apps to Fight the COVID-19 Crisis

International Conference on Data Technologies and Applications

Pregnancy Apps for Self-Monitoring: Scoping Review of the Most Popular Global Apps Available in Australia


ATP Tennis Rankings, Results, and Stats

Neural Networks and Betting Strategies for Tennis

Pairwise Comparisons with Flexible Time-Dynamics

The paradox of talent: How chance affects success in tennis tournaments

Early Career Wins and Tournament Prestige Characterize Tennis Players' Trajectories


Mantis Bug Tracker (MantisBT)

Fragment-Based Test Generation for Web Apps

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

Guiding ChatGPT to Fix Web UI Tests via Explanation-Consistency Checking

Neural Embeddings for Web Testing

Fixing Vulnerabilities Potentially Hinders Maintainability


Question answering dataset featured in "Teaching Machines to Read and Comprehend

SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents

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

Gated-Attention Readers for Text Comprehension

Text Understanding with the Attention Sum Reader Network

ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension

Distraction-Based Neural Networks for Document Summarization

Iterative Alternating Neural Attention for Machine Reading

A Survey on Machine Reading Comprehension: Tasks, Evaluation Metrics and Benchmark Datasets

A Survey of Automatic Text Summarization: Progress, Process and Challenges


Distributed Deep learning with Keras & Spark

Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent

Opportunities and obstacles for deep learning in biology and medicine

Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics

Real-time pneumonia prediction using pipelined spark and high-performance computing

Effective Model Update for Adaptive Classification of Text Streams in a Distributed Learning Environment


WiredTiger's source tree

Constructing and Analyzing the LSM Compaction Design Space

Toward a Better Understanding and Evaluation of Tree Structures on Flash SSDs

Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty

Learning Key-Value Store Design

DINAMITE: A modern approach to memory performance profiling

Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads

Is Parallel Programming Hard, And, If So, What Can You Do About It? (Second Edition)


Multi-Joint dynamics with Contact. A general purpose physics simulator.

MuJoCo: A physics engine for model-based control

RoCo: Dialectic Multi-Robot Collaboration with Large Language Models

Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis

RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots

HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion
  and Manipulation

DexDLO: Learning Goal-Conditioned Dexterous Policy for Dynamic Manipulation of Deformable Linear Objects

Open-Source Reinforcement Learning Environments Implemented in MuJoCo with Franka Manipulator


Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"

Layer Normalization

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Skip-Thought Vectors

Learning Distributed Representations of Sentences from Unlabelled Data

Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks

Self-Taught Convolutional Neural Networks for Short Text Clustering

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

Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language Generation

On Multiplicative Integration with Recurrent Neural Networks

Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations

Meeting of the Association for Computational Linguistics

Efficient Vector Representation for Documents through Corruption


v4l2-loopback device

R-TOD: Real-Time Object Detector with Minimized End-to-End Delay for Autonomous Driving

YouSkyde: information hiding for Skype video traffic

Video Conferencing and Flow-Rate Fairness: A First Look at Zoom and the Impact of Flow-Queuing AQM

Passive and Active Network Measurement Conference


SmartThings open-source DeviceType Handlers and SmartApps code

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

Iota: A Framework for Analyzing System-Level Security of IoTs

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

Ksii Transactions on Internet and Information Systems

Towards Practical Integrity in the Smart Home with HomeEndorser

Helion: Enabling a Natural Perspective of Home Automation


Node.js JavaScript runtime ✨✨

A Smart Contract-Based P2P Energy Trading System with Dynamic Pricing on Ethereum Blockchain

Understanding Review Expertise of Developers: A Reviewer Recommendation Approach Based on Latent Dirichlet Allocation

From One to Hundreds: Multi-Licensing in the JavaScript Ecosystem

I Depended on You and You Broke Me: An Empirical Study of Manifesting Breaking Changes in Client Packages

SurfBraid: A concept tool for preparing and resource estimating quantum circuits protected by the surface code

Investigating and Recommending Co-Changed Entities for JavaScript Programs

Automatic Identification of Similar Pull-Requests in GitHub's Repositories Using Machine Learning

Constructing a bilingual website with validated database for Herb and Western medicine interactions using Ginseng, Ginkgo and Dong Quai as examples

BMC complementary and alternative medicine

Toward Human-Like Summaries Generated from Heterogeneous Software Artefacts

Human-Like Summaries from Heterogeneous and Time-Windowed Software Development Artefacts


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


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

Pre-trained models for natural language processing: A survey

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

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

ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning

Scaling Up Models and Data with  and

Entity-Based Knowledge Conflicts in Question Answering

Charformer: Fast Character Transformers via Gradient-based Subword Tokenization

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

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


The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

TinyLlama: An Open-Source Small Language Model

Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Towards the Law of Capacity Gap in Distilling Language Models

MELTing point: Mobile Evaluation of Language Transformers

Length Generalization of Causal Transformers without Position Encoding

SEA: Sparse Linear Attention with Estimated Attention Mask

Adam-mini: Use Fewer Learning Rates To Gain More

Sailor: Open Language Models for South-East Asia


Robust recipes to align language models with human and AI preferences

Zephyr: Direct Distillation of LM Alignment

SimPO: Simple Preference Optimization with a Reference-Free Reward

Weak-to-Strong Extrapolation Expedites Alignment

JetMoE: Reaching Llama2 Performance with 0.1M Dollars

The ART of LLM Refinement: Ask, Refine, and Trust

Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer

Reinforcement Learning from Human Feedback with Active Queries

Ask Optimal Questions: Aligning Large Language Models with Retriever's
  Preference in Conversational Search

Suppressing Pink Elephants with Direct Principle Feedback

Advanced Natural-based interaction for the ITAlian language: LLaMAntino-3-ANITA


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

AUGER: Automatically Generating Review Comments with Pre-training Models

Root cause prediction based on bug reports

International Symposium on Software Reliability Engineering

Identifying non-natural language artifacts in bug reports

Impact of Change Granularity in Refactoring Detection

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

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


ObsPy: A Python Toolbox for seismology/seismological observatories.

PyNose: A Test Smell Detector For Python

Detecting Spontaneous Neural Oscillation Events in Primate Auditory Cortex

Spatio‐Temporal Evolution of Earthquake Static Stress Drop Values in the 2016–2017 Central Italy Seismic Sequence

Journal of Geophysical Research: Solid Earth

Seismicity and seismotectonics of the Albstadt Shear Zone in the northern Alpine foreland

Small Magnitude Events Highlight the Correlation Between Hydraulic Fracturing Injection Parameters, Geological Factors, and Earthquake Occurrence

NEW PHOTOMETRY AND SPECTROSCOPY OF DW CANCRI

Revista Mexicana de Astronomía y Astrofísica


An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.

Discovering Vulnerabilities in COTS IoT Devices through Blackbox Fuzzing Web Management Interface

SIoTFuzzer: Fuzzing Web Interface in IoT Firmware via Stateful Message Generation

Reproducible and Adaptable Log Data Generation for Sound Cybersecurity Experiments

Asia-Pacific Computer Systems Architecture Conference


Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.

Invited: Automated Code generation for Information Technology Tasks in YAML through Large Language Models

DevReplay: Automatic Repair with Editable Fix Pattern

Backports: Change Types, Challenges and Strategies

SBFT Tool Competition 2024 -- Python Test Case Generation Track


Module for automatic summarization of text documents and HTML pages.

Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports

Learning to Summarize Radiology Findings

100,000 Podcasts: A Spoken English Document Corpus

International Conference on Computational Linguistics

This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation

A Summarization System for Scientific Documents

Joint Optimization of User-desired Content in Multi-document Summaries by Learning from User Feedback

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

A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence

Dataset for Automatic Summarization of Russian News

Communications in computer and information science

The Next Step for Multi-Document Summarization: A Heterogeneous Multi-Genre Corpus Built with a Novel Construction Approach

Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1


Gaussian processes framework in python

Constrained Efficient Global Optimization of Expensive Black-box Functions

Gaussian Processes for Big Data

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

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

Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics

BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization

QuEst - A translation quality estimation framework

Neural Tangents: Fast and Easy Infinite Neural Networks in Python

Transferability in Machine Learning for Electronic Structure via the Molecular Orbital Basis

Journal of chemical theory and computation

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


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


Zcash - Internet Money

Comparison of blockchain platforms: a systematic review and healthcare examples

Journal of the American Medical Informatics Association : JAMIA

Blockchain-Based Secure Storage Management with Edge Computing for IoT

On the Anonymity Guarantees of Anonymous Proof-of-Stake Protocols.

PayPlace: Secure and Flexible Operator-Mediated Payments in Blockchain Marketplaces at Scale

Investigating transactions in cryptocurrencies


Framework for lifting x86, amd64, aarch64, sparc32, and sparc64 program binaries to LLVM bitcode

A Survey of Binary Code Similarity

SoK: All You Ever Wanted to Know About x86/x64 Binary Disassembly But Were Afraid to Ask

Same Coverage, Less Bloat: Accelerating Binary-only Fuzzing with Coverage-preserving Coverage-guided Tracing

Conference on Computer and Communications Security

SATURN -- Software Deobfuscation Framework Based on LLVM

Large-scale Debloating of Binary Shared Libraries

Towards Automated Application-Specific Software Stacks

liOS: Lifting iOS Apps for Fun and Profit

Towards Obfuscated Malware Detection for Low Powered IoT Devices

Proving LTL Properties of Bitvector Programs and Decompiled Binaries

PROGRAMMING LANGUAGES AND SYSTEMS, APLAS 2021

Representing LLVM-IR in a Code Property Graph


Simple Python style checker in one Python file

Pretraining Language Models with Human Preferences

Controlling Conditional Language Models without Catastrophic Forgetting

Energy-Based Models for Code Generation under Compilability Constraints

On Code Reuse from StackOverflow: An Exploratory Study on Jupyter Notebook


Awesome-LLM: a curated list of Large Language Model

LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis

Probing LLMs for hate speech detection: strengths and vulnerabilities

No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML

The Case for Developing a Foundation Model for Planning-like Tasks from
  Scratch

An Empirical Study of Challenges in Machine Learning Asset Management


CTFs as you need them

An Analysis and Evaluation of Open Source Capture the Flag Platforms as Cybersecurity e-Learning Tools

NIZKCTF: A Noninteractive Zero-Knowledge Capture-the-Flag Platform

Cybercompetitions: A survey of competitions, tools, and systems to support cybersecurity education

PocketCTF: A Fully Featured Approach for Hosting Portable Attack and Defense Cybersecurity Exercises


OpenMMLab Detection Toolbox and Benchmark

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

SSD: Single Shot MultiBox Detector

Focal Loss for Dense Object Detection

Feature Pyramid Networks for Object Detection

YOLOv3: An Incremental Improvement

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

End-to-End Object Detection with Transformers

Momentum Contrast for Unsupervised Visual Representation Learning

Path Aggregation Network for Instance Segmentation


Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

A review on outlier/anomaly detection in time series data

Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark

International Conference on Machine Learning and Applications

Why Neurons Have Thousands of Synapses, a Theory of Sequence Memory in Neocortex

Continuous online sequence learning with an unsupervised neural network model

A Mathematical Formalization of Hierarchical Temporal Memory's Spatial Pooler

Neuromorphic System for Spatial and Temporal Information Processing

Skill Learning for Intelligent Robot by Perception-Action Integration: A View from Hierarchical Temporal Memory

Satisfaction Levels and Factors Influencing Satisfaction With Use of a Social App for Neonatal and Pediatric Patient Transfer Information Systems: A Questionnaire Study Among Doctors

Toward navigation ability for autonomous mobile robots with learning from demonstration paradigm

International Journal of Advanced Robotic Systems

An empirical study of testing machine learning in the wild


Free and Open Source, Distributed, RESTful Search Engine

Pretrained Transformers for Text Ranking: BERT and Beyond

ReACC: A Retrieval-Augmented Code Completion Framework

DocPrompting: Generating Code by Retrieving the Docs

OPTIMADE, an API for exchanging materials data

Revisiting Summarization Evaluation for Scientific Articles

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

Development of the CMS detector for the CERN LHC Run 3

CORE: Automating Review Recommendation for Code Changes

Does Technical Debt Lead to the Rejection of Pull Requests?

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


Tools to make an R developer's life easier

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

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

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

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

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

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

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

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


On the Tool Manipulation Capability of Open-source Large Language Models

Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities

Comprehensive Assessment of Jailbreak Attacks Against LLMs

Breaking Down the Defenses: A Comparative Survey of Attacks on Large
  Language Models


Distributed Asynchronous Hyperparameter Optimization in Python

CatBoost: unbiased boosting with categorical features

NewsQA: A Machine Comprehension Dataset

Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms

Proceedings of the Python in Science Conferences

Recurrent Neural Networks for Time Series Forecasting: Current status and future directions

Higgs Physics at the HL-LHC and HE-LHC

Regularisation of Neural Networks by Enforcing Lipschitz Continuity

Benchmark and Survey of Automated Machine Learning Frameworks

Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

GEOM: Energy-annotated molecular conformations for property prediction and molecular generation

An Emotional Analysis of False Information in Social Media and News Articles


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

Zenodo (CERN European Organization for Nuclear Research)

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


A secure embedded operating system for microcontrollers

μTiles: Efficient Intra-Process Privilege Enforcement of Memory Regions

A Low-Latency Optimization of a Rust-Based Secure Operating System for Embedded Devices

Enabling Lightweight Privilege Separation in Applications with MicroGuards


A fast WebAssembly interpreter and the most universal WASM runtime

Twine: An Embedded Trusted Runtime for WebAssembly

International Conference on Data Engineering

Femto-Containers: Lightweight Virtualization and Fault Isolation For Small Software Functions on Low-Power IoT Microcontrollers

A fast in-place interpreter for WebAssembly

Potential of WebAssembly for Embedded Systems

Mediterranean Conference on Embedded Computing

Characterizing and Detecting WebAssembly Runtime Bugs

Femto-Containers: DevOps on Microcontrollers with Lightweight Virtualization & Isolation for IoT Software Modules

VM Matters: A Comparison of WASM VMs and EVMs in the Performance of Blockchain Smart Contracts

Whose baseline compiler is it anyway?

Exploring the Use of WebAssembly in HPC

At the Edge of a Seamless Cloud Experience


Cloud native networking and network security

Performance Analysis of Zero-Trust multi-cloud

Enabling P4 Network Telemetry in Edge Micro Data Centers With Kubernetes Orchestration

bypass4netns: Accelerating TCP/IP Communications in Rootless Containers


Pseudo API for Google Trends

Comparing Social media and Google to detect and predict severe epidemics

COVID-19 Symptom-Related Google Searches and Local COVID-19 Incidence in Spain: Correlational Study

Internet search patterns reveal clinical course of COVID-19 disease progression and pandemic spread across 32 countries

What We Read, What We Search: Media Attention and Public Attention Among 193 Countries

Calibration of Google Trends Time Series

International Conference on Information and Knowledge Management

AI Ethics on Blockchain: Topic Analysis on Twitter Data for Blockchain Security

Google Trends for Pain Search Terms in the World’s Most Populated Regions Before and After the First Recorded COVID-19 Case: Infodemiological Study

Machine learning-based forecasting of firemen ambulances’ turnaround time in hospitals, considering the COVID-19 impact

Keeping Up with the Trends: Analyzing the Dynamics of Online Learning and Hiring Platforms in the Software Programming Domain

International Journal of Artificial Intelligence in Education

What are People Talking about in #BackLivesMatter and #StopAsianHate?

Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society


The C++ Standard Library for Parallelism and Concurrency

HPX -- An open source C++ Standard Library for Parallelism and Concurrency

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

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

Many Cores, Many Models: GPU Programming Model vs. Vendor Compatibility Overview

Implementing Software Resiliency in HPX for Extreme Scale Computing

Towards Distributed Software Resilience in Asynchronous Many-Task Programming Models.

Supporting OpenMP 5.0 Tasks in hpxMP -- A study of an OpenMP
  implementation within Task Based Runtime Systems

Evaluating HPX and Kokkos on RISC-V using an astrophysics application Octo-Tiger

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


Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Pyramid Scene Parsing Network

Deep High-Resolution Representation Learning for Visual Recognition

Unified Perceptual Parsing for Scene Understanding

Semantic Understanding of Scenes through the ADE20K Dataset

High-Resolution Representations for Labeling Pixels and Regions

CARAFE: Content-Aware ReAssembly of FEatures

Semi-supervised semantic segmentation needs strong, varied perturbations

MegDet: A Large Mini-Batch Object Detector

Differentiable Learning-to-Normalize via Switchable Normalization

Diffusion-based Image Translation using Disentangled Style and Content Representation


A Property Graph Model Interface (no longer active - see Apache TinkerPop)

NScale: neighborhood-centric large-scale graph analytics in the cloud

An introduction to Graph Data Management

Storing and Analyzing Historical Graph Data at Scale

Automatic View Selection in Graph Databases

XACML Extension for Graphs: Flexible Authorization Policy Specification and Datastore-Independent Enforcement


Open Container Initiative-based implementation of Kubernetes Container Runtime Interface

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

Managing Feature Compatibility in Kubernetes: Vendor Comparison and Analysis

A Qualitative and Quantitative Analysis of Container Engines

Bunk8s: Enabling Easy Integration Testing of Microservices in Kubernetes


HiBench is a big data benchmark suite.

BLOCKBENCH: A Framework for Analyzing Private Blockchains

Knowing when you're wrong: Building fast and reliable approximate query processing systems

SIGMOD'14: PROCEEDINGS OF THE 2014 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Arrow: Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM

International Conference on Distributed Computing Systems

Spark Parameter Tuning via Trial-and-Error

Don't cry over spilled records: Memory elasticity of data-parallel applications and its application to cluster scheduling

Benchmarking Data Flow Systems for Scalable Machine Learning

International Conference on Management of Data

Lynceus: Cost-efficient Tuning and Provisioning of Data Analytic Jobs

DRESS: Dynamic RESource-reservation Scheme for Congested Data-intensive Computing Platforms

A Survey of Big Data Machine Learning Applications Optimization in Cloud Data Centers and Networks

BayesPerf: minimizing performance monitoring errors using Bayesian statistics

International Conference on Architectural Support for Programming Languages and Operating Systems


A simple, decentralized dependency manager for Cocoa

Analysis of Library Dependency Networks of Package Managers Used in iOS Development

iLibScope: Reliable Third-Party Library Detection for iOS Mobile Apps


A pure-python fully automated and unattended fuzzing framework.

The Art, Science, and Engineering of Fuzzing: A Survey

FairFuzz: A Targeted Mutation Strategy for Increasing Greybox Fuzz Testing Coverage

PROCEEDINGS OF THE 2018 33RD IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMTED SOFTWARE ENGINEERING (ASE' 18)

Snipuzz: Black-box Fuzzing of IoT Firmware via Message Snippet Inference

PropFuzz — An IT-security fuzzing framework for proprietary ICS protocols

International Conference on Applied Electronics

A Review of Machine Learning Applications in Fuzzing

Test Data Generation for Stateful Network Protocol Fuzzing Using a Rule-Based State Machine

清华大学学报：自然科学英文版

Berserker: ASN.1-based Fuzzing of Radio Resource Control Protocol for 4G and 5G

State Selection Algorithms and Their Impact on The Performance of Stateful Network Protocol Fuzzing

Fuzzers for Stateful Systems: Survey and Research Directions

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


Pyodide is a Python distribution for the browser and Node.js based on WebAssembly

scadnano: A browser-based, scriptable tool for designing DNA nanostructures

CoPrompt: Supporting Prompt Sharing and Referring in Collaborative Natural Language Programming

CoLadder: Supporting Programmers with Hierarchical Code Generation in Multi-Level Abstraction

Teaching Programming to Novices Using the codeBoot Online Environment

WebAssembly enables low latency interoperable augmented and virtual reality software

ComputeGPT: A computational chat model for numerical problems


Analyzes resource usage and performance characteristics of running containers.

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

Horizontal Pod Autoscaling in Kubernetes for Elastic Container Orchestration

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

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

Journal of Cloud Computing Advances Systems and Applications

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

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

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

The Softwarised Network Data Zoo

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

Monitoring fog computing: A review, taxonomy and open challenges


Acceptance rates for the major AI conferences

Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)

HARK Side of Deep Learning -- From Grad Student Descent to Automated Machine Learning

Some Ethical Issues in the Review Process of Machine Learning Conferences


A Python implementation of global optimization with gaussian processes.

A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

Recurrent Neural Networks for Time Series Forecasting: Current status and future directions

PRADA: Protecting against DNN Model Stealing Attacks

Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges

Unsupervised Machine Learning on a Hybrid Quantum Computer

Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System

Weighted Random Search for CNN Hyperparameter Optimization

International Journal of Computers Communications & Control

All You Need is a Good Functional Prior for Bayesian Deep Learning

Real-Time Semantic Background Subtraction

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


Hydra is a framework for elegantly configuring complex applications

TEMOS: Generating diverse human motions from textual descriptions

Multi-Task Reinforcement Learning with Context-based Representations

PDEBENCH: An Extensive Benchmark for Scientific Machine Learning

Learning Neural Event Functions for Ordinary Differential Equations

FLEX: Unifying Evaluation for Few-Shot NLP

On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness

Multisample Flow Matching: Straightening Flows with Minibatch Couplings

On the model-based stochastic value gradient for continuous reinforcement learning

MBRL-Lib: A Modular Library for Model-based Reinforcement Learning

Variational Wasserstein gradient flow


UAParser.js - The Essential Web Development Tool for User-Agent Detection.

SoK: Analysis of Software Supply Chain Security by Establishing Secure Design Properties

Dependency Update Strategies and Package Characteristics

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

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


Spike, a RISC-V ISA Simulator

Randomized Last-Level Caches Are Still Vulnerable to Cache Side-Channel Attacks! But We Can Fix It

GVSoC: A Highly Configurable, Fast and Accurate Full-Platform Simulator for RISC-V based IoT Processors

Vitruvius+: An Area-Efficient RISC-V Decoupled Vector Coprocessor for High Performance Computing Applications

ACM Transactions on Architecture and Code Optimization (TACO)

HardScope: Thwarting DOP with Hardware-assisted Run-time Scope Enforcement

A Survey of the RISC-V Architecture Software Support

Multi Fluxon Storage and its Implications for Microprocessor Design

Lagarto I RISC-V Multi-core: Research Challenges to Build and Integrate a Network-on-Chip

International Conference on Supercomputing in Mexico

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

Bratter: An Instruction Set Extension for Forward Control-Flow Integrity in RISC-V

qBSA: Logic Design of a 32-bit Block-Skewed RSFQ Arithmetic Logic Unit


Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

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

Mask R-CNN

Focal Loss for Dense Object Detection

End-to-End Object Detection with Transformers

Masked-attention Mask Transformer for Universal Image Segmentation

DensePose: Dense Human Pose Estimation In The Wild

Panoptic Feature Pyramid Networks

Per-Pixel Classification is Not All You Need for Semantic Segmentation

What Makes for Good Views for Contrastive Learning?

A Metaverse: Taxonomy, Components, Applications, and Open Challenges


DeepMind's Tacotron-2 Tensorflow implementation

Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions

A Survey on Neural Speech Synthesis

End-to-End Emotional Speech Synthesis Using Style Tokens and Semi-Supervised Training

Prosodic Features Control by Symbols as Input of Sequence-to-Sequence Acoustic Modeling for Neural TTS

IEICE Transactions on Information and Systems

Es-Tacotron2: Multi-Task Tacotron 2 with Pre-Trained Estimated Network for Reducing the Over-Smoothness Problem


open-source IEEE 802.11 WiFi baseband FPGA (chip) design: driver, software

IRShield: A Countermeasure Against Adversarial Physical-Layer Wireless Sensing

openwifi CSI fuzzer for authorized sensing and covert channels

RT-WiFi on Software-Defined Radio: Design and Implementation

Accelerating FPGA-Based Wi-Fi Transceiver Design and Prototyping by High-Level Synthesis


Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:

Automated 3D reconstruction of LoD2 and LoD1 models for all 10 million buildings of the Netherlands

Reconstruction and Efficient Visualization of Heterogeneous 3D City Models

Design and Implementation of a 4D Web Application for Analytical Visualization of Smart City Applications

ISPRS International Journal of Geo-Information

Efficient Visualization of Large-Scale Oblique Photogrammetry Models in Unreal Engine

3D Tiles-Based High-Efficiency Visualization Method for Complex BIM Models on the Web

Three-Dimensional (3D) Parametric Modeling and Organization for Web-Based Visualization of City-Scale Pipe Network

Scalable processing of massive geodata in the cloud: generating a level-of-detail structure optimized for web visualization

COMPUTING ARBITRARILY LARGE MESHES WITH LEVEL-OF-DETAIL SUPPORT FOR CESIUM 3D TILES

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

A HIGHLY SCALABLE DATA MANAGEMENT SYSTEM FOR POINT CLOUD AND FULL WAVEFORM LIDAR DATA

Tirtha - An Automated Platform to Crowdsource Images and Create 3D Models of Heritage Sites

The 28th International ACM Conference on 3D Web Technology


Icarus Verilog

VerilogEval: Evaluating Large Language Models for Verilog Code Generation

VeriGen: A Large Language Model for Verilog Code Generation

AutoChip: Automating HDL Generation Using LLM Feedback

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

AutoBench: Automatic Testbench Generation and Evaluation Using LLMs for
  HDL Design

Towards LLM-Powered Verilog RTL Assistant: Self-Verification and
  Self-Correction

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


OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Addressing Function Approximation Error in Actor-Critic Methods

Deep Reinforcement Learning that Matters

Deep Reinforcement Learning for Autonomous Driving: A Survey

Deep Reinforcement Learning: An Overview

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

An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

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

Quantifying Generalization in Reinforcement Learning

Parameter Space Noise for Exploration

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


Yosys Open SYnthesis Suite

Efficient Edge-AI Application Deployment for FPGAs

Synthesizing Functional Reactive Programs

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

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

High-level Synthesis using the Julia Language

Countering the Path Explosion Problem in the Symbolic Execution of Hardware Designs


Python library for audio and music analysis

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

UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition

A joint detection-classification model for audio tagging of weakly labelled data

Masked Conditional Neural Networks for sound classification

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

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

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

Journal of intelligent information systems

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

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

DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling


the TCPdump network dissector

Large Language Models for Code: Security Hardening and Adversarial Testing

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

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

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

Graph Neural Networks for Vulnerability Detection: A Counterfactual
  Explanation

A Quantitative Study of Security Bug Fixes of GitHub Repositories


Generative Agents: Interactive Simulacra of Human Behavior

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

Is this the real life? Is this just fantasy? The Misleading Success of
  Simulating Social Interactions With LLMs

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

Artificial Agency and Large Language Models


Characterising Deprecated Android APIs

On tracking Java methods with Git mechanisms

Automating Program Transformation for Java Using Semantic Patches

HAL (Le Centre pour la Communication Scientifique Directe)

On the Relevance of Cross-project Learning with Nearest Neighbours for Commit Message Generation

International Conference on Software Engineering

DOES: A Deep Learning-Based Approach to Estimate Roll and Pitch at Sea


State-of-the-Art Text Embeddings

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation

ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer

On the Sentence Embeddings from Pre-trained Language Models

Text Embeddings by Weakly-Supervised Contrastive Pre-training

Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks

TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning

SelfDoc: Self-Supervised Document Representation Learning

Inductive Entity Representations from Text via Link Prediction

SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search


Convolutional Neural Networks

YOLOv4: Optimal Speed and Accuracy of Object Detection

YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Objects as Points

DOTA: A Large-scale Dataset for Object Detection in Aerial Images

Fooling automated surveillance cameras: adversarial patches to attack person detection

MetaAnchor: Learning to Detect Objects with Customized Anchors

R^3-Net: A Deep Network for Multi-oriented Vehicle Detection in Aerial Images and Videos

IEEE Transactions on Geoscience and Remote Sensing

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

Detection of Cardiac Structural Abnormalities in Fetal Ultrasound Videos Using Deep Learning

Efficient disease detection in gastrointestinal videos – global features versus neural networks


Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments

Leveraging Procedural Generation to Benchmark Reinforcement Learning

Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark

Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning

DNA: Proximal Policy Optimization with a Dual Network Architecture


Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

MoleculeNet: A Benchmark for Molecular Machine Learning

Opportunities and obstacles for deep learning in biology and medicine

Low Data Drug Discovery with One-Shot Learning

Self-Supervised Graph Transformer on Large-Scale Molecular Data

Large-scale comparison of machine learning methods for drug target prediction on ChEMBL

Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases

Recent advances and applications of deep learning methods in materials science

Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity

To Embed or Not: Network Embedding as a Paradigm in Computational Biology

A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language


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

How To Backdoor Federated Learning

Pyro: Deep Universal Probabilistic Programming

fastai: A Layered API for Deep Learning

Lookahead Optimizer: k steps forward, 1 step back

Self-Challenging Improves Cross-Domain Generalization

Colorless green recurrent networks dream hierarchically

AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

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

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

A Closer Look at Accuracy vs. Robustness