This is the community-maintained issue tracker for uBlock Origin

The CNAME of the Game: Large-scale Analysis of DNS-based Tracking Evasion

SOK: On the Analysis of Web Browser Security


Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Neural Machine Translation by Jointly Learning to Align and Translate

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Sequence to Sequence Learning with Neural Networks

Mixed-Level Neural Machine Translation

Computational intelligence and neuroscience

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

Would You Ask it that Way?

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

An End-to-End Khmer Optical Character Recognition using Sequence-to-Sequence with Attention


Distantly Supervised Relation Extraction

Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme

CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases

Extracting Entities and Relations with Joint Minimum Risk Training

Empirical Methods in Natural Language Processing

Seq2RDF: An end-to-end application for deriving Triples from Natural Language Text

Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents

Indirect Supervision for Relation Extraction using Question-Answer Pairs

Meta-Learning for Neural Relation Classification with Distant Supervision

International Conference on Information and Knowledge Management

Causality extraction model based on two-stage GCN

Soft Computing - A Fusion of Foundations, Methodologies and Applications

BiTT: Bidirectional Tree Tagging for Joint Extraction of Overlapping Entities and Relations.


Pafish is a testing tool that uses different techniques to detect virtual machines and malware analysis environments in the same way that malware families do

Systematic Approach to Malware Analysis (SAMA)

Sisyfos: A Modular and Extendable Open Malware Analysis Platform

Longitudinal Study of the Prevalence of Malware Evasive Techniques

Avast-CTU Public CAPE Dataset

Python and Malware: Developing Stealth and Evasive Malware Without Obfuscation

HyperDbg: Reinventing Hardware-Assisted Debugging (Extended Version)


To make it easy to benchmark AI accelerators

XSP: Across-Stack Profiling and Analysis of Machine Learning Models on GPUs

AI Matrix: A Deep Learning Benchmark for Alibaba Data Centers

Benanza: Automatic μBenchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs

International Parallel and Distributed Processing Symposium


Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

Bidirectional Attention Flow for Machine Comprehension

QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension

Constructing Datasets for Multi-hop Reading Comprehension Across Documents

Learning Intrinsic Sparse Structures within Long Short-Term Memory

Improving the Robustness of Question Answering Systems to Question Paraphrasing

Meeting of the Association for Computational Linguistics

SberQuAD -- Russian Reading Comprehension Dataset: Description and
  Analysis

Difficulty Controllable Generation of Reading Comprehension Questions

Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension

ODSQA: Open-domain Spoken Question Answering Dataset

Semi-supervised Training Data Generation for Multilingual Question Answering

PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018)


MCEdit, Minecraft World Editor 1.0 - no longer developed. See website for version 2.0

Generative Design in Minecraft (GDMC), Settlement Generation Competition

The AI Settlement Generation Challenge in Minecraft: First Year Report

Comparing PCG metrics with Human Evaluation in Minecraft Settlement Generation

Impressions of the GDMC AI Settlement Generation Challenge in Minecraft


Python interface to the WebRTC Voice Activity Detector

YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone

Continuous speech separation: dataset and analysis

The Second DIHARD Diarization Challenge: Dataset, task, and baselines

SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model

Towards Building ASR Systems for the Next Billion Users

An End-to-End Architecture for Keyword Spotting and Voice Activity Detection

SPGISpeech: 5,000 hours of transcribed financial audio for fully formatted end-to-end speech recognition

Investigation of End-To-End Speaker-Attributed ASR for Continuous Multi-Talker Recordings

VoxSRC 2021: The Third VoxCeleb Speaker Recognition Challenge

Classification vs. Regression in Supervised Learning for Single Channel Speaker Count Estimation

International Conference on Acoustics, Speech, and Signal Processing


Machine learning for transportation data imputation and prediction.

A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation

Transportation Research Part C: Emerging Technologies

Bayesian Temporal Factorization for Multidimensional Time Series Prediction

IEEE transactions on pattern analysis and machine intelligence

Spatial-temporal traffic speed patterns discovery and incomplete data recovery via SVD-combined tensor decomposition

A nonconvex low-rank tensor completion model for spatiotemporal traffic data imputation

Missing traffic data imputation and pattern discovery with a Bayesian augmented tensor factorization model

Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation

Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks

Scalable low-rank tensor learning for spatiotemporal traffic data imputation

PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation

Dynamic Collaborative Filtering Based on User Preference Drift and Topic Evolution


Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch

Improving language models by retrieving from trillions of tokens

DeepNet: Scaling Transformers to 1,000 Layers

Copy Is All You Need

Retrieval is Accurate Generation

Current Limitations of Language Models: What You Need is Retrieval


TorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision

Asymmetric Non-local Neural Networks for Semantic Segmentation

Semantic Flow for Fast and Accurate Scene Parsing

Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation

Data-Free Quantization with Accurate Activation Clipping and Adaptive Batch Normalization


Getting Started with Xilinx ML Suite

SCALE-Sim: Systolic CNN Accelerator Simulator

FPGAs-as-a-Service Toolkit (FaaST)

Near-Precise Parameter Approximation for Multiple Multiplications on A Single DSP Block

AIRCHITECT: Learning Custom Architecture Design and Mapping Space

A Novel FPGA-Based Intent Recognition System Utilizing Deep Recurrent Neural Networks


Pytorch implementation of RetinaNet object detection.

Focal Loss for Dense Object Detection

Deep Learning for Automatic Pneumonia Detection

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

CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video

SALAD : Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection

The Interstate-24 3D Dataset: a new benchmark for 3D multi-camera vehicle tracking

Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability

AI Model for Detection of Abdominal Hemorrhage Lesions in Abdominal CT Images

Focused Adversarial Attacks


Making Protein Design accessible to all via Google Colab!

Protein Sequence and Structure Co-Design with Equivariant Translation

Solubility-Aware Protein Binding Peptide Design Using AlphaFold

PDB-Struct: A Comprehensive Benchmark for Structure-based Protein Design

Computational design of soluble and functional membrane protein analogues


Code for Nature energy manuscript


Java Agent for Memory Measurements

Faster Algorithms for Quantitative Verification in Constant Treewidth Graphs

Prioritized garbage collection: explicit GC support for software caches

Conference on Object-Oriented Programming Systems, Languages, and Applications

In-Memory Indexed Caching for Distributed Data Processing


This repo presents a reference architecture for running serverless MapReduce jobs. This has been implemented using AWS Lambda and Amazon S3.

The server is dead, long live the server: Rise of Serverless Computing, Overview of Current State and Future Trends in Research and Industry

Guarding Serverless Applications with SecLambda

Towards Persistent Memory based Stateful Serverless Computing for Big Data Applications


A project written in Python to get old tweets, it bypass some limitations of Twitter Official API.

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

Analyzing the hate and counter speech accounts on Twitter

Evaluating the Impact of COVID-19 on Cyberbullying through Bayesian Trend Analysis

Public perception of COVID-19’s global health crisis on Twitter until 14 weeks after the outbreak

Coastal Tourism Spatial Planning at the Regional Unit: Identifying Coastal Tourism Hotspots Based on Social Media Data

ISPRS International Journal of Geo-Information

Ranking of Importance Measures of Tweet Communities: Application to Keyword Extraction From COVID-19 Tweets in Japan

IEEE transactions on computational social systems

A Neural Approach to Irony Generation

Get out of Church! The Case of #EmptyThePews: Twitter Hashtag between Resistance and Community

Semantic-based End-to-End Learning for Typhoon Intensity Prediction

TweetPap: A Dataset to Study the Social Media Discourse of Scientific Papers


CREPE: A Convolutional REpresentation for Pitch Estimation -- pre-trained model (ICASSP 2018)

CREPE: A Convolutional Representation for Pitch Estimation

Traditional Machine Learning for Pitch Detection

Addressing the confounds of accompaniments in singer identification

Score and Lyrics-Free Singing Voice Generation

Cross-domain Neural Pitch and Periodicity Estimation

The Efficacy of Self-Supervised Speech Models for Audio Representations

CREPE Notes: A new method for segmenting pitch contours into discrete notes


Raster to Vector Graphics Converter

Leveraging Large Language Models for Scalable Vector Graphics-Driven Image Understanding

StarVector: Generating Scalable Vector Graphics Code from Images

Image Vectorization: a Review


Sample Code for Gated Graph Neural Networks

Neural Message Passing for Quantum Chemistry

Modeling Relational Data with Graph Convolutional Networks

Gated Graph Sequence Neural Networks

Learning to Represent Programs with Graphs

Hyperbolic Graph Neural Networks

Generative Code Modeling with Graphs

Exploring Software Naturalness through Neural Language Models

AutoPandas: neural-backed generators for program synthesis

Proceedings of the ACM on Programming Languages

State of the Art and Potentialities of Graph-level Learning

A Comprehensive Survey on Graph Summarization with Graph Neural Networks


10x Genomics Single Cell Analysis

A Single-Cell RNA Expression Map of Human Coronavirus Entry Factors

bioRxiv : the preprint server for biology

Benchmarking principal component analysis for large-scale single-cell RNA-sequencing

CD28 costimulation drives tumor-infiltrating T cell glycolysis to promote inflammation

Pro-inflammatory T helper 17 directly harms oligodendrocytes in neuroinflammation

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

Single-cell profiling reveals pathogenic role and differentiation trajectory of granzyme K+CD8+ T cells in primary Sjögren’s syndrome

Peptide vaccine-treated, long-term surviving cancer patients harbor self-renewing tumor-specific CD8+ T cells

The immune landscape of human thymic epithelial tumors

ASAP 2020 update: an open, scalable and interactive web-based portal for (single-cell) omics analyses

Gli3 utilizes Hand2 to synergistically regulate tissue-specific transcriptional networks

Contact-Dependent Granzyme B-Mediated Cytotoxicity of Th17-Polarized Cells Toward Human Oligodendrocytes


This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"

Deep learning for table detection and structure recognition: A survey

A Study on Reproducibility and Replicability of Table Structure Recognition Methods


Multilingual word vectors in 78 languages

Enriching Word Vectors with Subword Information

Exploiting Similarities among Languages for Machine Translation

A Survey of Cross-lingual Word Embedding Models

Offline bilingual word vectors, orthogonal transformations and the inverted softmax

Improving zero-shot learning by mitigating the hubness problem

Unsupervised Cross-Lingual Information Retrieval using Monolingual Data Only

Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections

Transliteration Better than Translation? Answering Code-mixed Questions over a Knowledge Base

Aggression Identification and Multi Lingual Word Embeddings

International Conference on Computational Linguistics

Debiasing Multilingual Word Embeddings: A Case Study of Three Indian Languages


A framework for Bayesian mixing models in R:

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

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

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

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

Phenological tracking associated with increased salmon consumption by brown bears

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

Isotope hydrology and water sources in a heavily urbanized stream

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

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

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


TensorFlow implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

Image-to-Image Translation with Conditional Adversarial Networks

Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification

Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep Learning

Denoising weak lensing mass maps with deep learning

Nighttime Reflectance Generation in the Visible Band of Satellites

Deep Learning-Generated Nighttime Reflectance and Daytime Radiance of the Midwave Infrared Band of a Geostationary Satellite

This is not what I imagined: Error Detection for Semantic Segmentation through Visual Dissimilarity

Deep learning for intensity mapping observations: component extraction

Monthly Notices of the Royal Astronomical Society: Letters


Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)

Deformable Convolutional Networks

Deformable ConvNets v2: More Deformable, Better Results

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

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

Target Detection and Classification Performance Enhancement Using Superresolution Infrared Videos

A New Blind Video Quality Metric for Assessing Different Turbulence Mitigation Algorithms


tracking medical datasets, with a focus on medical imaging

Learning Task-Specific Strategies for Accelerated MRI

Towards Positive Jacobian: Learn to Postprocess for Diffeomorphic Image Registration with Matrix Exponential

A Plug-and-Play Image Registration Network


PyTorch implementation of Contrastive Learning methods

Momentum Contrast for Unsupervised Visual Representation Learning

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

Improved Baselines with Momentum Contrastive Learning

Contrastive Multiview Coding

Self-Supervised Learning of Pretext-Invariant Representations

What Makes for Good Views for Contrastive Learning?

Instance Localization for Self-supervised Detection Pretraining

Improving Contrastive Learning by Visualizing Feature Transformation

Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning

Versatile Multi-Modal Pre-Training for Human-Centric Perception


Vocal Remover using Deep Neural Networks

Singing Voice Separation with Deep U-Net Convolutional Networks

International Symposium/Conference on Music Information Retrieval

Multi-scale Multi-band DenseNets for Audio Source Separation


Mellotron: a multispeaker voice synthesis model based on Tacotron 2 GST that can make a voice emote and sing without emotive or singing training data

Mellotron: Multispeaker Expressive Voice Synthesis by Conditioning on Rhythm, Pitch and Global Style Tokens

Using previous acoustic context to improve Text-to-Speech synthesis

An objective evaluation of the effects of recording conditions and speaker characteristics in multi-speaker deep neural speech synthesis


A customisable 3D platform for agent-based AI research

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

Learning to Navigate in Complex Environments

Stabilizing Transformers for Reinforcement Learning

DeepMind Lab

Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering

Deep Reinforcement Learning

Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies

V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control

Optimizing Agent Behavior over Long Time Scales by Transporting Value

Grounded Language Learning Fast and Slow


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

Blockchain smart contracts: Applications, challenges, and future trends

Peer-to-peer networking and applications

A Blockchain Platform for User Data Sharing Ensuring User Control and Incentives

Privacy-Preserving IoT Data Aggregation Based on Blockchain and Homomorphic Encryption

A Blockchain-Powered Decentralized and Secure Computing Paradigm

IEEE Transactions on Emerging Topics in Computing

CioSy: A Collaborative Blockchain-Based Insurance System

Verifiable Smart Contract Portability

Enforceable Data Sharing Agreements Using Smart Contracts

Towards Practical Applications in Modeling Blockchain System

A Modified Hybrid Blockchain Framework for Secured Data Transaction

The Minimum Hybrid Contract (MHC): Combining legal and blockchain smart contracts


High-Performance Face Recognition Library on PaddlePaddle & PyTorch

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition

Landmark Guidance Independent Spatio-channel Attention and Complementary Context Information based Facial Expression Recognition

Face.evoLVe: A cross-platform library for high-performance face analytics

ATFaceGAN: Single Face Image Restoration and Recognition from Atmospheric Turbulence

IEEE International Conference on Automatic Face & Gesture Recognition

Technical Challenges for Training Fair Neural Networks

Survey on the Analysis and Modeling of Visual Kinship: A Decade in the Making

Affect Expression Behaviour Analysis in the Wild using Spatio-Channel Attention and Complementary Context Information

Boosting Semi-Supervised Face Recognition with Noise Robustness

M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis


Depth-Aware Video Frame Interpolation (CVPR 2019)

Depth-Aware Video Frame Interpolation

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

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


The coronavirus dataset

Measuring Time-Varying Effective Reproduction Numbers for COVID-19 and Their Relationship with Movement Control Order in Malaysia

International journal of environmental research and public health

Sparse HP Filter: Finding Kinks in the COVID-19 Contact Rate

Predicting the Incidence of COVID-19 Using Data Mining

Predicting the mortality due to Covid-19 by the next month for Italy, Iran and South Korea; a simulation study.

Early and ongoing importations of SARS-CoV-2 in Canada

An actuarial approach for modeling pandemic risk

COVID-19 Pandemic Outbreak in the Subcontinent: A data-driven analysis

Statistical Ambiguities in Epidemics of Coronavirus Disease 2019 (COVID-19)

Nonlinear models: a case of the COVID-19 confirmed rates in top 8 worst affected countries


A pyTorch implementation of the DeepMoji model: state-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc

Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm

Empirical Methods in Natural Language Processing

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

Meeting of the Association for Computational Linguistics

Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation

Let Me Choose: From Verbal Context to Font Selection

On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era

Modulating Language Models with Emotions

Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in Tweets

Stance in Replies and Quotes (SRQ): A New Dataset For Learning Stance in Twitter Conversations

Towards a Multi-Dataset for Complex Emotions Learning Based on Deep Neural Networks


A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization

A Discrete Hard EM Approach for Weakly Supervised Question Answering

Structure-Grounded Pretraining for Text-to-SQL

North American Chapter of the Association for Computational Linguistics

An Imitation Game for Learning Semantic Parsers from User Interaction

Generating Semantically Valid Adversarial Questions for TableQA


Efficient Image Captioning code in Torch, runs on GPU

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

International Journal of Computer Vision

What can the brain teach us about building artificial intelligence?

Towards Diverse and Natural Image Descriptions via a Conditional GAN

Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models

Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization

Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space

Context-aware Captions from Context-agnostic Supervision

An Empirical Study of Language CNN for Image Captioning

Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning

BreakingNews: Article Annotation by Image and Text Processing


A word alignment tool based on famous GIZA++, extended to support multi-threading, resume training and incremental training.

Jointly Learning to Align and Translate with Transformer Models

Simple and Effective Text Simplification Using Semantic and Neural Methods

Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task

Proceedings of the Third Conference on Machine Translation: Shared Task Papers

Alignment-Enhanced Transformer for Constraining NMT with Pre-Specified Translations

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

Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach

Flexible retrieval with NMSLIB and FlexNeuART

Attention as a Guide for Simultaneous Speech Translation

Chunk-based Decoder for Neural Machine Translation

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

Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings

Faster decoding for subword level Phrase-based SMT between related languages


A PyTorch implementation of the Transformer model in "Attention is All You Need".

Attention Is All You Need

A Structured Self-attentive Sentence Embedding

Hardware Accelerator for Multi-Head Attention and Position-Wise Feed-Forward in the Transformer

Robustness to Unbounded Smoothness of Generalized SignSGD

Conditional Self-Attention for Query-based Summarization

Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers

On Suppressing Range of Adaptive Stepsizes of Adam to Improve Generalisation Performance

Extending AdamW by Leveraging Its Second Moment and Magnitude

Adaptive Strategies in Non-convex Optimization

Medformer: A Multi-Granularity Patching Transformer for Medical
  Time-Series Classification


Neural Machine Translation with Keras

Online Learning for Effort Reduction in Interactive Neural Machine Translation

Active Learning for Interactive Neural Machine Translation of Data Streams

Adapting Neural Machine Translation with Parallel Synthetic Data

Proceedings of the Second Conference on Machine Translation

deepQuest: A Framework for Neural-based Quality Estimation

Online Learning for Neural Machine Translation Post-editing

NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning

The Prague Bulletin of Mathematical Linguistics

Low-Resource Machine Transliteration Using Recurrent Neural Networks of Asian Languages


Patent analysis using the Google Patents Public Datasets on BigQuery

The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications

Supervised Contrastive Learning for Interpretable Long-Form Document Matching

Supervised Contrastive Learning for Interpretable Long Document Comparison.

CinPatent: Datasets for Patent Classification


A tool to retrieve malware directly from the source for security researchers.

A Survey of Deep Learning Techniques for Cybersecurity in Mobile Networks

IEEE Communications Surveys and Tutorials

Malware Detection with Neural Network Using Combined Features

Communications in computer and information science

Application of Distance Metric Learning to Automated Malware Detection


Synthesizing and manipulating 2048x1024 images with conditional GANs

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

StyleGAN2 Distillation for Feed-forward Image Manipulation

Quantitative Projection Coverage for Testing ML-enabled Autonomous Systems

MetaPix: Few-Shot Video Retargeting

PTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer

ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priors

Physics-informed GANs for Coastal Flood Visualization

Physically-Consistent Generative Adversarial Networks for Coastal Flood Visualization

Bridging the Gap Between Paired and Unpaired Medical Image Translation

Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers


Topology Optimization using Python

TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain

3D Topology Optimization using Convolutional Neural Networks

A Comparative Study of the Application of Different Commercial Software for Topology Optimization

Sensitivity Analysis of Key Formulations of Topology Optimization on an Example of Cantilever Bending Beam

From Concept to Manufacturing: Evaluating Vision-Language Models for Engineering Design

Topology optimization using PETSc: a Python wrapper and extended functionality

Structural and Multidisciplinary Optimization


The project is an official implement of our ECCV2018 paper  "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

Deep High-Resolution Representation Learning for Human Pose Estimation

Deep High-Resolution Representation Learning for Visual Recognition

Simple and Lightweight Human Pose Estimation

Pose Neural Fabrics Search

Spatial Shortcut Network for Human Pose Estimation


Official implementation of AnimateDiff.

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models

DreamVideo: Composing Your Dream Videos with Customized Subject and Motion

Matryoshka Diffusion Models

GAIA: Rethinking Action Quality Assessment for AI-Generated Videos


Reference implementation of code generation projects from Facebook AI Research. General toolkit to apply machine learning to code, from dataset creation to model training and evaluation. Comes with pretrained models.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

DOBF: A Deobfuscation Pre-Training Objective for Programming Languages

Leveraging Automated Unit Tests for Unsupervised Code Translation

Code Translation with Compiler Representations

Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages

On the Evaluation of Neural Code Translation: Taxonomy and Benchmark

Quantifying OpenMP: Statistical Insights into Usage and Adoption

User-Customizable Transpilation of Scripting Languages

Pathways to Leverage Transcompiler based Data Augmentation for Cross-Language Clone Detection


Codebase for "SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems"

Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization, Quantizations, Memory Optimizations, and More

Heterogeneous CPU+GPU Stochastic Gradient Descent Algorithms

Adaptive Optimization for Sparse Data on Heterogeneous GPUs


ESC-50: Dataset for Environmental Sound Classification

Cough Recognition Based on Mel-Spectrogram and Convolutional Neural Network

Towards Learning Universal Audio Representations

Multimodality in Meta-Learning: A Comprehensive Survey

Zygarde: Time-Sensitive On-Device Deep Inference and Adaptation on Intermittently-Powered Systems

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

Audio Visual Language Maps for Robot Navigation

CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos

Early Detection of Red Palm Weevil Infestations using Deep Learning Classification of Acoustic Signals

Tiny Transformers for Environmental Sound Classification at the Edge

Comparison of semi-supervised deep learning algorithms for audio classification

AADiff: Audio-Aligned Video Synthesis with Text-to-Image Diffusion


Ligra: A Lightweight Graph Processing Framework for Shared Memory

Parallel Local Graph Clustering

ReGraph: Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines

Graph Computing Systems and Partitioning Techniques: A Survey

iPregel: Vertex-centric programmability vs memory efficiency and performance, why choose?

A New Frontier for Pull-Based Graph Processing


Library for multivariate function approximation with splines (B-spline, P-spline, and more) with interfaces to C++, C, Python and MATLAB

The matter power spectrum in redshift space using effective field theory

Journal of Cosmology and Astroparticle Physics

CppTransport: a platform to automate calculation of inflationary correlation functions

De-localizing brittle fracture

Journal of the Mechanics and Physics of Solids

New techniques for jet calibration with the ATLAS detector

Mathematical programming formulations for piecewise polynomial functions

The Object Oriented c++ library QIBSH++ for Hermite spline Quasi Interpolation

A reduced-order model for segregated fluid-structure interaction solvers based on an ALE approach


EVNotify allows you to monitor your electric vehicle and let you notify when the specified preset state of charge has been achieved.


AudioLDM: Generate speech, sound effects, music and beyond, with text.

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

WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research

V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Models

Auffusion: Leveraging the Power of Diffusion and Large Language Models for Text-to-Audio Generation

Leveraging Pre-Trained AudioLDM for Sound Generation: A Benchmark Study

U-DiT TTS: U-Diffusion Vision Transformer for Text-to-Speech

Music Consistency Models

Synth-AC: Enhancing Audio Captioning with Synthetic Supervision

IteraTTA: An interface for exploring both text prompts and audio priors in generating music with text-to-audio models

Latent CLAP Loss for Better Foley Sound Synthesis


Ropsten public testnet PoW chain

Towards an Autonomous Industry 4.0 Warehouse: A UAV and Blockchain-Based System for Inventory and Traceability Applications in Big Data-Driven Supply Chain Management

Enabling the Internet of Mobile Crowdsourcing Health Things: A Mobile Fog Computing, Blockchain and IoT Based Continuous Glucose Monitoring System for Diabetes Mellitus Research and Care

GDPR Compliance Verification in Internet of Things

A Blockchain-Based Approach for Saving and Tracking Differential-Privacy Cost

Enforceable Data Sharing Agreements Using Smart Contracts

SoK: A Stratified Approach to Blockchain Decentralization

CertificateChain: decentralized healthcare training certificate management system using blockchain and smart contracts

A Blockchain-Based Spatial Crowdsourcing System for Spatial Information Collection Using a Reward Distribution

A Modified Hybrid Blockchain Framework for Secured Data Transaction

A Privacy-Preserving Platform for Recording COVID-19 Vaccine Passports


[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Once-for-All: Train One Network and Specialize it for Efficient Deployment

Hardware-Centric AutoML for Mixed-Precision Quantization

Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search

PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021

A Hardware-Aware Framework for Accelerating Neural Architecture Search Across Modalities

Task-Adaptive Neural Network Search with Meta-Contrastive Learning

Tackling Neural Architecture Search With Quality Diversity Optimization


PyTorch implementations of Generative Adversarial Networks.

Image-to-Image Translation with Conditional Adversarial Networks

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

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

Improved Training of Wasserstein GANs

Context Encoders: Feature Learning by Inpainting

On the Effectiveness of Least Squares Generative Adversarial Networks

Wasserstein GAN

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation


Contribute Packages to Bioconductor

DOSCHEDA: a web application for interactive chemoproteomics data analysis

CBEA: Competitive balances for taxonomic enrichment analysis


A survey on data plane programming with P4: Fundamentals, advances, and applied research

Automating In-Network Machine Learning

P4Testgen: An Extensible Test Oracle For P4

Open Source Compiling for V1Model RMT Switch: Making Data Center Networking Innovation Accessible


tiny vision language model

Efficient Multimodal Large Language Models: A Survey


[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks

Information-Theoretic GAN Compression with Variational Energy-based Model


This repository contains the results of the FAIR Metrics Group

Evaluating FAIR maturity through a scalable, automated, community-governed framework

Unlocking the Power of Artificial Intelligence and Big Data in Medicine

Open Government Data: Usage trends and metadata quality

A Semi-Automated Workflow for FAIR Maturity Indicators in the Life Sciences

OpenPVSignal: Advancing Information Search, Sharing and Reuse on Pharmacovigilance Signals via FAIR Principles and Semantic Web Technologies

Making Neural Networks FAIR

Evaluating FAIR-Compliance Through an Objective, Automated, Community-Governed Framework

A tool for assessing alignment of biomedical data repositories with open, FAIR, citation and trustworthy principles

Two real use cases of FAIR maturity indicators in the life sciences


Large-scale pretraining for dialogue

DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation

Towards a Human-like Open-Domain Chatbot

Knowledge-Grounded Dialogue Generation with Pre-trained Language Models

RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models

Pre-trained Language Models in Biomedical Domain: A Systematic Survey

Zero-Resource Knowledge-Grounded Dialogue Generation

Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances

Personalized Response Generation via Generative Split Memory Network

Item Response Theory for Efficient Human Evaluation of Chatbots

Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems

On the Generation of Medical Dialogs for COVID-19


Creative Commons Attribution 4.0 International

This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results

Interspeech 2021 Deep Noise Suppression Challenge

Weighted Speech Distortion Losses for Neural-network-based Real-time Speech Enhancement

Towards efficient models for real-time deep noise suppression

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Speech Quality and Testing Framework

Universal Speech Enhancement with Score-based Diffusion

A Simultaneous Denoising and Dereverberation Framework with Target Decoupling

UniAudio: An Audio Foundation Model Toward Universal Audio Generation

ICASSP 2021 Deep Noise Suppression Challenge: Decoupling Magnitude and Phase Optimization with a Two-Stage Deep Network


A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

A Survey on Deep Learning for Named Entity Recognition

Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework

Low Resource Multi-Task Sequence Tagging -- Revisiting Dynamic Conditional Random Fields

TNNT: The Named Entity Recognition Toolkit

Do "English" Named Entity Recognizers Work Well on Global Englishes?

Findings of the Association for Computational Linguistics: EMNLP 2023


Fast genome and metagenome distance estimation using MinHash

Mash: fast genome and metagenome distance estimation using MinHash

A genomic catalogue of soil microbiomes boosts mining of biodiversity and genetic resources

Core Defense Hotspots withinPseudomonas aeruginosaare a consistent and rich source of anti-phage defense systems

Potential Rhodopsin and Bacteriochlorophyll-Based Dual Phototrophy in a High Arctic Glacier

Natural Occurrence of Escherichia coli-Infecting Bacteriophages in Clinical Samples

Genome-resolved metagenomics using environmental and clinical samples

Differentiation of hypervirulent and classical Klebsiella pneumoniae with acquired drug resistance

Genomic and phenotypic characterization of Streptococcus mutans isolates suggests key gene clusters in regulating its interaction with Streptococcus gordonii

A Chromosome-Level Genome Assembly of the Reed Warbler (Acrocephalus scirpaceus)

Mycobacteriophage CRB2 defines a new subcluster in mycobacteriophage classification


Efficient neural speech synthesis

LPCNet: Improving Neural Speech Synthesis Through Linear Prediction

A Survey on Neural Speech Synthesis

A Real-Time Wideband Neural Vocoder at 1.6 kb/s Using LPCNet

Half-Truth: A Partially Fake Audio Detection Dataset

High quality, lightweight and adaptable TTS using LPCNet

Improving Opus Low Bit Rate Quality with Neural Speech Synthesis

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

FeatherWave: An efficient high-fidelity neural vocoder with multi-band linear prediction

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

Speaker independence of neural vocoders and their effect on parametric resynthesis speech enhancement


Android UI Testing

A Novel Hybrid Method to Analyze Security Vulnerabilities in Android Applications

AMOGA: A Static-Dynamic Model Generation Strategy for Mobile Apps Testing

Automation of Android Applications Testing Using Machine Learning Activities Classification

Comprehension of Ads-supported and Paid Android Applications: Are They Different?

Safe Stream-Based Programming with Refinement Types

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

DroidLink: Automated Generation of Deep Links for Android Apps

Large Language Models for Mobile GUI Text Input Generation: An Empirical
  Study


This proposal has been replaced by the Topics API.

Massively Parallel and Dynamic Algorithms for Minimum Size Clustering

Masked LARk: Masked Learning, Aggregation and Reporting worKflow

The Attention Economy and the Impact of Artificial Intelligence

Interest-disclosing Mechanisms for Advertising are Privacy-Exposing (not Preserving)


GPU code for spike sorting

Kilosort: realtime spike-sorting for extracellular electrophysiology with hundreds of channels

Fast and accurate spike sorting of high-channel count probes with KiloSort

Cerebellar Contribution to Preparatory Activity in Motor Neocortex

Feedback generates a second receptive field in neurons of the visual cortex

Sensory coding and the causal impact of mouse cortex in a visual decision

Cerebellar involvement in an evidence-accumulation decision-making task

Cross-hemispheric gamma synchrony between prefrontal parvalbumin interneurons supports behavioral adaptation during rule shift learning

Entorhinal-retrosplenial circuits for allocentric-egocentric transformation of boundary coding

Distinct Structure of Cortical Population Activity on Fast and Infraslow Timescales

Neural circuits underlying auditory contrast gain control and their perceptual implications


Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

Mip-Splatting: Alias-free 3D Gaussian Splatting

Compact3D: Compressing Gaussian Splat Radiance Field Models with Vector Quantization

Compact 3D Scene Representation via Self-Organizing Gaussian Grids

Revising Densification in Gaussian Splatting

DreamPolisher: Towards High-Quality Text-to-3D Generation via Geometric
  Diffusion

TalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via Gaussian Splatting

DoGaussian: Distributed-Oriented Gaussian Splatting for Large-Scale 3D
  Reconstruction Via Gaussian Consensus

EVOLUTION OF RENDERING BASED ON RADIANCE FIELDS. THE PALERMO CASE STUDY FOR A COMPARISON BETWEEN NERF AND GAUSSIAN SPLATTING

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


Repository for all spatial data.

Assessing OpenStreetMap Data Using Intrinsic Quality Indicators: An Extension to the QGIS Processing Toolbox

Hepatitis B vaccination coverage across India: exploring the spatial heterogeneity and contextual determinants

Long-term trends in air quality in major cities in the UK and India: a view from space

Proximal and contextual correlates of childhood stunting in India: A geo-spatial analysis

Disaggregated analysis of birth averted due to family planning use in India: An evidence from NFHS-4 (2015–16)


A library for Partially Homomorphic Encryption in Python

A Secure Federated Transfer Learning Framework

Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

Secure Federated Matrix Factorization

Preserving privacy in speaker and speech characterisation

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

Boosting Privately: Privacy-Preserving Federated Extreme Boosting for Mobile Crowdsensing

An Efficient Learning Framework for Federated XGBoost Using Secret Sharing and Distributed Optimization

Odyssey 2018 - Homomorphic Encryption for Speaker Recognition: Protection of Biometric Templates and Vendor Model Parameters

The Speaker and Language Recognition Workshop (Odyssey 2018)

PIVODL: Privacy-Preserving Vertical Federated Learning Over Distributed Labels

Enabling SQL-based Training Data Debugging for Federated Learning


OpenVR SDK

iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks

HTC Vive MeVisLab integration via OpenVR for medical applications

Controller-based Text-input Techniques for Virtual Reality: An Empirical Comparison

International Journal of Virtual Reality

TanGi: Tangible Proxies for Embodied Object Exploration and Manipulation in Virtual Reality

Real-Time Depth Video-Based Rendering for 6-DoF HMD Navigation and Light Field Displays

Men Scare Me More: Gender Differences in Social Fear Conditioning in Virtual Reality

Going Incognito in the Metaverse: Achieving Theoretically Optimal Privacy-Usability Tradeoffs in VR

Rhoban Football Club: RoboCup Humanoid KidSize 2019 Champion Team Paper

Where Are You Looking?

Proceedings of the 30th ACM International Conference on Multimedia

A Benchmarking Framework for Interactive 3D Applications in the Cloud


Train a deep learning net with OpenStreetMap features and satellite imagery.

Using convolutional networks and satellite imagery to identify patterns in urban environments at a large scale

Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning

Semantic Labeling of Large-Area Geographic Regions Using Multiview and Multidate Satellite Images and Noisy OSM Training Labels

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing


FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)

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

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

A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations

A Revisit of Hashing Algorithms for Approximate Nearest Neighbor Search

Fast Cosine Similarity Search in Binary Space with Angular Multi-Index Hashing

Constructing Tree-based Index for Efficient and Effective Dense Retrieval

Survey of Vector Database Management Systems

Reconfigurable Inverted Index

Falconn++: A Locality-sensitive Filtering Approach for Approximate Nearest Neighbor Search

A scalable solution to the nearest neighbor search problem through local-search methods on neighbor graphs


Deprecated - Low Orbit Ion Cannon - An open source network stress tool, written in C#. Based on Praetox's LOIC project. USE ON YOUR OWN RISK. WITHOUT ANY EXPRESS OR IMPLIED WARRANTIES. IF YOU GET V& IT IS YOUR FAULT.

Detection and Classification of DDoS Flooding Attacks on Software-Defined Networks: A Case Study for the Application of Machine Learning

Toward Improving the Security of IoT and CPS Devices: An AI Approach

Reinforced Transformer Learning for VSI-DDoS Detection in Edge Clouds

Unsupervised detection of security threats in cyberphysical system and IoT devices based on power fingerprints and RBM autoencoders

Journal of Surveillance, Security and Safety

Launching Stealth Attacks using Cloud


A package for plotting maps in R with ggplot2

Reconciling the opposing effects of warming on phytoplankton biomass in 188 large lakes

Comparative Analysis of Dengue and Zika Outbreaks Reveals Differences by Setting and Virus

Assessing inequality, irregularity, and severity regarding road traffic safety during COVID-19

Amphibian responses in the aftermath of extreme climate events

Metabotyping as a Stopover in Genome-to-Phenome Mapping

Prediction limits of mobile phone activity modelling

Using Web Services to Work with Geodata in R

An installation-level model of China's coal sector shows how its decarbonization and energy security plans will reduce overseas coal imports


An industrial deep learning framework for high-dimension sparse data

Learning Tree-based Deep Model for Recommender Systems

Joint Optimization of Tree-based Index and Deep Model for Recommender Systems

Learning Optimal Tree Models Under Beam Search

Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling

FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning

Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching

An Empirical Study of the Landscape of Open Source Projects in Baidu, Alibaba, and Tencent


No Coin is a tiny browser extension aiming to block coin miners such as Coinhive.

SoK: Cryptojacking Malware

End-to-End Analysis of In-Browser Cryptojacking

Truth in Web Mining: Measuring the Profitability and Cost of Cryptominers as a Web Monetization Model

CoinPolice:Detecting Hidden Cryptojacking Attacks with Neural Networks

MinerGate: A Novel Generic and Accurate Defense Solution Against Web Based Cryptocurrency Mining Attacks


Generate text images for training deep learning ocr model

Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study

OmniPrint: A Configurable Printed Character Synthesizer

Transferring General Multimodal Pretrained Models to Text Recognition

Scalable handwritten text recognition system for lexicographic sources of under-resourced languages and alphabets


Remote Desktop Protocol in Twisted Python

A Comparative Analysis of Honeypots on Different Cloud Platforms

Honeypot Implementation in a Cloud Environment


Scrappie is a technology demonstrator for the Oxford Nanopore Research Algorithms group

Nanopore sequencing and assembly of a human genome with ultra-long reads

Nanopore sequencing technology and tools for genome assembly: computational analysis of the current state, bottlenecks and future directions

Research in Computational Molecular Biology

Real-time mapping of nanopore raw signals

NanoReviser: An Error-Correction Tool for Nanopore Sequencing Based on a Deep Learning Algorithm

De novo assembly of the complex genome of Nippostrongylus brasiliensis using MinION long reads

Completing Circular Bacterial Genomes With Assembly Complexity by Using a Sampling Strategy From a Single MinION Run With Barcoding

Accurate characterization of expanded tandem repeat length and sequence through whole genome long-read sequencing on PromethION

Finite-State Semi-Markov Channels for Nanopore Sequencing

Icarust, a real-time simulator for Oxford Nanopore adaptive sampling

Basecalling Using Joint Raw and Event Nanopore Data Sequence-to-Sequence Processing


Research release basecalling models and configurations

Symphonizing pileup and full-alignment for deep learning-based long-read variant calling

DNA methylation-calling tools for Oxford Nanopore sequencing: a survey and human epigenome-wide evaluation

Impact of lossy compression of nanopore raw signal data on basecalling and consensus accuracy

Distinguishing between recruitment and spread of silent chromatin structures in Saccharomyces cerevisiae

DeepMP: a deep learning tool to detect DNA base modifications on Nanopore sequencing data

Comprehensive Analysis of DNA 5-Methylcytosine and N6-Adenine Methylation by Nanopore Sequencing in Hepatocellular Carcinoma

Frontiers in cell and developmental biology

Extreme genome scrambling in marine planktonic Oikopleura dioica cryptic species

Multidrug-Resistant Shigella sonnei Bacteremia among Persons Experiencing Homelessness, Vancouver, British Columbia, Canada.

DNA Methylation Patterns Differ between Free-Living Rhizobium leguminosarum RCAM1026 and Bacteroids Formed in Symbiosis with Pea (Pisum sativum L.)


TimerOne Library with optimization and expanded hardware support

Fabricating a Portable ECG Device Using AD823X Analog Front-End Microchips and Open-Source Development Validation

Portable ECG System Design Using the AD8232 Microchip and Open-Source Platform

The 6th International Electronic Conference on Sensors and Applications

Development of an open hardware bioreactor for optimized cardiac cell culture integrating programmable mechanical and electrical stimulations


BLOCKBENCH: A Framework for Analyzing Private Blockchains. Blockbench contains workloads for measuring the data processing performance, and workloads for understanding the performance of different layers of Blockchain systems.

Multilayer Environment and Toolchain for Holistic NetwOrk Design and Analysis

An End-to-End Performance Comparison of Seven Permissioned Blockchain Systems

Proceedings of the 24th International Middleware Conference on ZZZ


Automatically exported from code.google.com/p/farmhash

Indexed variation graphs for efficient and accurate resistome profiling

HyperLogLogLog: Cardinality Estimation With One Log More

Fast keyed hash/pseudo-random function using SIMD multiply and permute

Regular and almost universal hashing: an efficient implementation


MadMax: surviving out-of-gas conditions in Ethereum smart contracts

Proceedings of the ACM on Programming Languages

A Concurrent Perspective on Smart Contracts

Precise Attack Synthesis for Smart Contracts

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

The Economics of Smart Contracts

Flint for Safer Smart Contracts

Building an Ethereum-Based Decentralized Vehicle Rental System


Source code for the LabelMe annotation tool.

Thermal Infrared Image Colorization for Nighttime Driving Scenes With Top-Down Guided Attention

Ship Detection under Complex Backgrounds Based on Accurate Rotated Anchor Boxes from Paired Semantic Segmentation

RT-Seg: A Real-Time Semantic Segmentation Network for Side-Scan Sonar Images

Rail Detection: An Efficient Row-based Network and A New Benchmark

Deep Learning on Ultrasound Images Visualizes the Femoral Nerve with Good Precision

A Cascaded Model Based on EfficientDet and YOLACT++ for Instance Segmentation of Cow Collar ID Tag in an Image

Developing a Free and Open-Source Semi-Automated Building Exterior Crack Inspection Software for Construction and Facility Managers

Video-based Smoky Vehicle Detection with A Coarse-to-Fine Framework

Nighttime Thermal Infrared Image Colorization with Feedback-based Object Appearance Learning


Xor Filters: Faster and Smaller Than Bloom and Cuckoo Filters

ACM Journal of Experimental Algorithmics

Location Privacy Preservation in Database-Driven Wireless Cognitive Networks Through Encrypted Probabilistic Data Structures

IEEE Transactions on Cognitive Communications and Networking

An Overview of Cryptographic Accumulators

International Conference on Information Systems Security and Privacy

Binary Fuse Filters: Fast and Smaller Than Xor Filters

Proof of Unlearning: Definitions and Instantiation

Adversarial Correctness and Privacy for Probabilistic Data Structures

bloomRF: On Performing Range-Queries in Bloom-Filters with Piecewise-Monotone Hash Functions and Prefix Hashing

Quotient hash tables

SAC '19: PROCEEDINGS OF THE 34TH ACM/SIGAPP SYMPOSIUM ON APPLIED COMPUTING


A MNIST-like fashion product database. Benchmark :point_down:

Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge

International Conference on Communications

Overcoming catastrophic forgetting with hard attention to the task

Learning from Noisy Labels with Deep Neural Networks: A Survey

Evolving Deep Convolutional Neural Networks for Image Classification

Deep Learning for Classical Japanese Literature

Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions

Inference Suboptimality in Variational Autoencoders

The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects

Making deep neural networks right for the right scientific reasons by interacting with their explanations


Fast, sensitive and accurate integration of single-cell data with Harmony

Fast, sensitive, and accurate integration of single cell data with Harmony

Mapping systemic lupus erythematosus heterogeneity at the single-cell level

A reference single-cell transcriptomic atlas of human skeletal muscle tissue reveals bifurcated muscle stem cell populations

scREAD: A Single-Cell RNA-Seq Database for Alzheimer's Disease

Cardiac cell type–specific gene regulatory programs and disease risk association

SARS-CoV-2 Targets by the pscRNA Profiling of ACE2, TMPRSS2 and Furin Proteases

Computational methods for the integrative analysis of single-cell data

Distinct molecular and immune hallmarks of inflammatory arthritis induced by immune checkpoint inhibitors for cancer therapy

Bi-order multimodal integration of single-cell data

Molecular control of endurance training adaptation in male mouse skeletal muscle


A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts

Generative Art Using Neural Visual Grammars and Dual Encoders

Visual Conceptual Blending with Large-scale Language and Vision Models

ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation

Seeding Diversity into AI Art

The Cultivated Practices of Text-to-Image Generation

Artistic Strategies to Guide Neural Networks


An R-package designed for climate and weather data analysis, empirical-statistical downscaling, and visualisation.

On using principal components to represent stations in empirical-statistical downscaling

Tellus A: Dynamic Meteorology and Oceanography

A Hybrid Downscaling Approach for Future Temperature and Precipitation Change

Journal of Applied Meteorology and Climatology

Testing a simple formula for calculating approximate intensity-duration-frequency curves

A Norwegian Approach to Downscaling

Downscaling probability of long heatwaves based on seasonal mean daily maximum temperatures

Advances in statistical climatology, meteorology and oceanography


Jupyter notebooks for learning how to use SimpleITK

SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research

Image Segmentation, Registration and Characterization in R with SimpleITK

MulViMotion: Shape-Aware 3D Myocardial Motion Tracking From Multi-View Cardiac MRI

Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning

DeepMesh: Mesh-based Cardiac Motion Tracking using Deep Learning


PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models

Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning

A Survey on Neural Speech Synthesis

Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention

International Conference on Acoustics, Speech, and Signal Processing

Towards Automatic Face-to-Face Translation

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

SpeedySpeech: Efficient Neural Speech Synthesis

IndicSpeech: Text-to-Speech Corpus for Indian Languages

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


From Entropy to Information: Biased Typewriters and the Origin of Life

Does self-replication imply evolvability?

Spatial resource heterogeneity creates local hotspots of evolutionary potential

Origin of life in a digital microcosm

Amorphous Fortress: Observing Emergent Behavior in Multi-Agent FSMs

How the footprint of history shapes the evolution of digital organisms


A Platform for Many-Agent Reinforcement Learning

MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence

Learning Structured Communication for Multi-agent Reinforcement Learning

Overview of Software Agent Platforms Available in 2023

Strategic Interaction Multi-Agent Deep Reinforcement Learning

Dealing with Non-Stationarity in MARL via Trust-Region Decomposition

A survey of benchmarking frameworks for reinforcement learning

NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios

Variational Policy Propagation for Multi-agent Reinforcement Learning

Diverse Policy Optimization for Structured Action Space


Acceleration package for neural networks on multi-core CPUs

EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices

The 3rd International Workshop on Deep Learning for Mobile Systems and Applications

High performance ultra-low-precision convolutions on mobile devices

High Performance and Portable Convolution Operators for Multicore Processors

Bonseyes AI Pipeline—Bringing AI to You

Automating Generation of Low Precision Deep Learning Operators

Learning to infer: RL-based search for DNN primitive selection on Heterogeneous Embedded Systems

Computation-efficient Deep Learning for Computer Vision: A Survey

Array Languages Make Neural Networks Fast

Proceedings of the 7th ACM SIGPLAN International Workshop on Libraries, Languages and Compilers for Array Programming

Accelerating CNN inference on long vector architectures via co-design

Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware


DEEp Reinforcement learning framework

Combined Reinforcement Learning via Abstract Representations

On overfitting and asymptotic bias in batch reinforcement learning with partial observability

Image Retrieval with Mixed Initiative and Multimodal Feedback


Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation

Autopilot: workload autoscaling at Google

PROCEEDINGS OF THE FIFTEENTH EUROPEAN CONFERENCE ON COMPUTER SYSTEMS (EUROSYS'20)

Learning to optimize halide with tree search and random programs

A Survey on Compiler Autotuning using Machine Learning

Automatic construction of inlining heuristics using machine learning

Symposium on Code Generation and Optimization

Blended, precise semantic program embeddings

Programming Language Design and Implementation

Smart, adaptive mapping of parallelism in the presence of external workload

IR2Vec: LLVM IR based Scalable Program Embeddings

ACM Transactions on Architecture and Code Optimization (TACO)

Bliss: auto-tuning complex applications using a pool of diverse lightweight learning models

Continuous learning of compiler heuristics

High Performance Embedded Architectures and Compilers

ICS - FAST: A Fast Stencil Autotuning Framework Based On An Optimal-solution Space Model

PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON SUPERCOMPUTING (ICS'15)


YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

YOLOv4: Optimal Speed and Accuracy of Object Detection

A Deep Learning Framework Performance Evaluation to Use YOLO in Nvidia Jetson Platform

Seed Phenotyping on Neural Networks using Domain Randomization and Transfer Learning

YOLO -- You only look 10647 times

PyMouseTracks: Flexible Computer Vision and RFID-Based System for Multiple Mouse Tracking and Behavioral Assessment

Iranian License Plate Recognition Using a Reliable Deep Learning Approach


Natural Language Processing Tutorial for Deep Learning Researchers

Attention Is All You Need

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

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

Neural Machine Translation by Jointly Learning to Align and Translate

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Bag of Tricks for Efficient Text Classification

Predicting Subjective Features of Questions of QA Websites using BERT

2020 6th International Conference on Web Research (ICWR)


This is a collection of our NAS and Vision Transformer work.

Rethinking and Improving Relative Position Encoding for Vision Transformer

AutoFormer: Searching Transformers for Visual Recognition

EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention

TinyViT: Fast Pretraining Distillation for Small Vision Transformers

MiniViT: Compressing Vision Transformers with Weight Multiplexing

Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search

Cyclic Differentiable Architecture Search

Searching the Search Space of Vision Transformer

TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance

On-board Satellite Image Classification for Earth Observation: A Comparative Study of Pre-Trained Vision Transformer Models


A distributed graph deep learning framework.

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks

HyGCN: A GCN Accelerator with Hybrid Architecture

DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs

IntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks

Automated Machine Learning on Graphs: A Survey

BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing

Graph Intention Network for Click-through Rate Prediction in Sponsored Search


:honeybee: A python library to create, run and visualize radiance studies. Core library of Honeybee[+].


Novel Coronavirus 2019 time series data on cases

Excess deaths associated with covid-19 pandemic in 2020: age and sex disaggregated time series analysis in 29 high income countries

Neural Network Based Country Wise Risk Prediction of COVID-19

Preprinting the COVID-19 pandemic

Community movement and COVID-19: a global study using Google's Community Mobility Reports

Deep learning models for forecasting and analyzing the implications of COVID-19 spread on some commodities markets volatilities

Data Science and Machine Learning Integrated Implementation Patterns for Cavernous Knowledge Discovery from COVID-19 Data

IOP Conference Series: Materials Science and Engineering

Assessing the influence of climate on wintertime SARS-CoV-2 outbreaks

GLOBAL FORECASTING OF COVID-19 USING ARIMA BASED FB-PROPHET

International Journal of Engineering Applied Sciences and Technology

COVID-19 cases prediction in multiple areas via shapelet learning

Applied intelligence (Dordrecht, Netherlands)

A SEIR model with time-varying coefficients for analysing the SARS-CoV-2 epidemic


Virtuoso is a high-performance and scalable Multi-Model RDBMS, Data Integration Middleware, Linked Data Deployment, and HTTP Application Server Platform

KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base

Pattern-based design applied to cultural heritage knowledge graphs

Publishing FAIR Data: An Exemplar Methodology Utilizing PHI-Base

GraphQ IR: Unifying the Semantic Parsing of Graph Query Languages with One Intermediate Representation

KQA Pro: A Large Diagnostic Dataset for Complex Question Answering over Knowledge Base.

Integration of Web APIs and Linked Data Using SPARQL Micro-Services—Application to Biodiversity Use Cases

Community-based Ontology Development, Annotation and Discussion with MediaWiki extension Ontokiwi and Ontokiwi-based Ontobedia.

METEOR For Multiple Target Languages Using DBnary

Correlation and Substitution in SPARQL

Native Execution of GraphQL Queries over RDF Graphs Using Multi-Way Joins


The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

U2-Net: Going deeper with nested U-structure for salient object detection

Object Segmentation Without Labels with Large-Scale Generative Models

Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images

Neural Optimal Transport with General Cost Functionals

A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images

Building Outline Extraction Directly Using the U2-Net Semantic Segmentation Model from High-Resolution Aerial Images and a Comparison Study

PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images

JustDeepIt: Software tool with graphical and character user interfaces for deep learning-based object detection and segmentation in image analysis


Waymo Open Dataset

The Waymo Open Sim Agents Challenge

LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection

3D Cascade RCNN: High Quality Object Detection in Point Clouds

USB: Universal-Scale Object Detection Benchmark

trajdata: A Unified Interface to Multiple Human Trajectory Datasets

VectorFlow: Combining Images and Vectors for Traffic Occupancy and Flow Prediction

Ridon Vehicle: Drive-by-Wire System for Scaled Vehicle Platform and Its Application on Behavior Cloning


:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA

A Tutorial on Principal Component Analysis

Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning

Qluster: An Easy-to-Implement Generic Workflow for Robust Clustering of Health Data

NEXAS: A Visual Tool for Navigating and Exploring Argumentation Solution Spaces

Frontiers in artificial intelligence and applications

Compressing and Comparing the Generative Spaces of Procedural Content Generators


VVdeC, the Fraunhofer Versatile Video Decoder

Versatile Video Coding Standard: A Review From Coding Tools to Consumers Deployment

A Complete End-To-End Open Source Toolchain for the Versatile Video Coding (VVC) Standard

Optimized Decoding-Energy-Aware Encoding in Practical VVC Implementations

The Bjøntegaard Bible Why Your Way of Comparing Video Codecs May Be Wrong

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

Performance analysis of optimized versatile video coding software decoders on embedded platforms

Advanced Design Space Exploration for Joint Energy and Quality Optimization for VVC


Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.

Automated Extraction of Chemical Synthesis Actions from Experimental Procedures

DualSC: Automatic Generation and Summarization of Shellcode via Transformer and Dual Learning

BashExplainer: Retrieval-Augmented Bash Code Comment Generation based on Fine-tuned CodeBERT

Factorizing Content and Budget Decisions in Abstractive Summarization of Long Documents

ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics

FigurA11y: AI Assistance for Writing Scientific Alt Text

Proceedings of the 29th International Conference on Intelligent User Interfaces

Iterative Genetic Improvement: Scaling Stochastic Program Synthesis

Leveraging Task Information in Grammatical Error Correction for Short Answer Assessment through Context-based Reranking


Facepager was made for fetching public available data from YouTube, Twitter and other websites on the basis of APIs and webscraping.

Measuring the Outreach Efforts of Public Health Authorities and the Public Response on Facebook During the COVID-19 Pandemic in Early 2020: Cross-Country Comparison (Preprint)

Hate Speech detection in the Bengali language: A dataset and its baseline evaluation

Does really no one care? Analyzing the public engagement of communication scientists on Twitter

What You Can Scrape and What Is Right to Scrape: A Proposal for a Tool to Collect Public Facebook Data

Influence of the pandemic lockdown on Fridays for Future’s hashtag activism

Aspect Based Sentiment Analysis of Ridesharing Platform Reviews for Kansei Engineering

Determining containment policy impacts on public sentiment during the pandemic using social media data

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

Worth to Share? How Content Characteristics and Article Competitiveness Influence News Sharing on Social Network Sites

Journalism & Mass Communication Quarterly

Keep Them Engaged: Romanian County Inspectorates for Emergency Situations’ Facebook Usage for Disaster Risk Communication and Beyond

Less Populist in Power? Online Communication of Populist Parties in Coalition Governments


Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Denoising Diffusion Probabilistic Models

A ConvNet for the 2020s

Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Building Normalizing Flows with Stochastic Interpolants

Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model

Synthetic Experience Replay

DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting

Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement

Machine learning in solar physics

Can denoising diffusion probabilistic models generate realistic astrophysical fields?


An R package for climate data bias correction and downscaling (part of the climate4R bundle)

Statistical downscaling with the downscaleR package (v3.1.0): contribution to the VALUE intercomparison experiment

Climate projections of a multivariate heat stress index: the role of downscaling and bias correction

A new region-aware bias-correction method for simulated precipitation in areas of complex orography

Evaluation of bias correction methods for a multivariate drought index: case study of the Upper Jhelum Basin


Visual tracking library based on PyTorch.

ATOM: Accurate Tracking by Overlap Maximization

Learning Discriminative Model Prediction for Tracking

Learning Spatio-Temporal Transformer for Visual Tracking

Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking

Probabilistic Regression for Visual Tracking

Know Your Surroundings: Exploiting Scene Information for Object Tracking

Learning Target Candidate Association to Keep Track of What Not to Track

Transforming Model Prediction for Tracking

Learning What to Learn for Video Object Segmentation

Correlation-Aware Deep Tracking


Small portable AES128/192/256 in C

Invited Paper: Secure Boot and Remote Attestation in the Sanctum Processor

IEEE Computer Security Foundations Symposium

A Fast and Verified Software Stack for Secure Function Evaluation

ARMORY: Fully Automated and Exhaustive Fault Simulation on ARM-M Binaries

Semi-Automatic Locating of Cryptographic Operations in Side-Channel Traces

IACR Transactions on Cryptographic Hardware and Embedded Systems

Practical Multiple Persistent Faults Analysis

Analysis of the NTRU Post-Quantum Cryptographic Scheme in Constrained IoT Edge Devices

Simulation and Analysis of Distributed Wireless Sensor Network using Message Passing Interface

Feasibility Assessment of a Fine-Grained Access Control Model on Resource Constrained Sensors

SPERO: Simultaneous Power/EM Side-channel Dataset Using Real-time and
  Oscilloscope Setups

C2HLSC: Can LLMs Bridge the Software-to-Hardware Design Gap?


A high-level Python library for Quantum Natural Language Processing

lambeq: An Efficient High-Level Python Library for Quantum NLP

Something Old, Something New: Grammar-based CCG Parsing with Transformer Models

NISQ Computers: A Path to Quantum Supremacy

Near-Term Advances in Quantum Natural Language Processing

A gentle introduction to Quantum Natural Language Processing


Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization

Network intrusion detection based on deep learning model optimized with rule-based hybrid feature selection

Information Security Journal: A Global Perspective

Metaheuristic Techniques

From Raw Data to Protein Backbone Chemical Shifts Using NMRFx Processing and NMRViewJ Analysis.

Anytime Diagnosis for Reconfiguration

Aggregation of Households in Community Energy Systems: An Analysis from Actors’ and Market Perspectives

Maximizing MapReduce job speed and reliability in the mobile cloud by optimizing task allocation

Chips-n-Salsa: A Java Library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms

A New Hybrid Genetic and Information Gain Algorithm for Imputing Missing Values in Cancer Genes Datasets

International Journal of Intelligent Systems and Applications

EC-KitY: Evolutionary computation tool kit in Python with seamless machine learning integration

Nature Inspired Techniques and Applications in Intrusion Detection Systems: Recent Progress and Updated Perspective

Archives of Computational Methods in Engineering


A Graph Neural Network Library in Jax

Relational inductive biases, deep learning, and graph networks

Pre-training via Denoising for Molecular Property Prediction

TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery

Simple GNN Regularisation for 3D Molecular Property Prediction & Beyond

FedJAX: Federated learning simulation with JAX

Graph Neural Networks: Methods, Applications, and Opportunities

Graph Neural Networks for Particle Tracking and Reconstruction

Large-scale graph representation learning with very deep GNNs and self-supervision

Very Deep Graph Neural Networks Via Noise Regularisation.

The Cosmic Graph: Optimal Information Extraction from Large-Scale Structure using Catalogues


Welcome to the mothur project, initiated by Dr. Patrick Schloss and his software development team in the Department of Microbiology & Immunology at The University of Michigan. This project seeks to develop a single piece of open-source, expandable software to fill the bioinformatics needs of the microbial ecology community.

Machine learning for metagenomics: methods and tools

Characterization of Bacterial and Fungal Community Dynamics by High-Throughput Sequencing (HTS) Metabarcoding during Flax Dew-Retting

funbarRF: DNA barcode-based fungal species prediction using multiclass Random Forest supervised learning model

Prebiotic Driven Increases in IL-17A Do Not Prevent Campylobacter jejuni Colonization of Chickens

Galacto-oligosaccharides fed during gestation increase Rotavirus A specific antibodies in sow colostrum, modulate the microbiome, and reduce infectivity in neonatal piglets in a commercial farm setting

Differences between the Leaf Mycobiome of Coffea arabica and Wild Coffee Species and Their Modulation by Caffeine/Chlorogenic Acid Content


A curated database of insecure Python packages

An Empirical Analysis of Vulnerabilities in Python Packages for Web Applications

International Workshop on Empirical Software Engineering in Practice

Analyzing the Direct and Transitive Impact of Vulnerabilities onto Different Artifact Repositories

I Know What You Imported Last Summer: A study of security threats in thePython ecosystem


A curated list of research, applications and projects built using the H2O Machine Learning platform

Use of a machine learning framework to predict substance use disorder treatment success

Innovative deep learning artificial intelligence applications for predicting relationships between individual tree height and diameter at breast height

askMUSIC: Leveraging a Clinical Registry to Develop a New Machine Learning Model to Inform Patients of Prostate Cancer Treatments Chosen by Similar Men.

Morphological traits of reef corals predict extinction risk but not conservation status

Deep Learning and Association Rule Mining for Predicting Drug Response in Cancer. A Personalised Medicine Approach

Inferring Passenger Type from Commuter Eigentravel Matrices

Disruptive Analytics

Maturity of gray matter structures and white matter connectomes, and their relationship with psychiatric symptoms in youth

Citizen Science Data Show Temperature-Driven Declines in Riverine Sentinel Invertebrates

Environmental Science & Technology Letters

Algorithmic Trading Using Deep Neural Networks on High Frequency Data


a programming library with geometric algorithms

On the numerical approximation of Blaschke-Santaló diagrams using Centroidal Voronoi Tessellations

ESAIM: Mathematical Modelling and Numerical Analysis

Anisotropic power diagrams for polycrystal modelling: efficient
  generation of curved grains via optimal transport


Extracts data points from images of graphs

FracPaQ: A MATLAB™ toolbox for the quantification of fracture patterns

Clinical Implication of Corrective Saccades in the Video Head Impulse Test for the Diagnosis of Posterior Inferior Cerebellar Artery Infarction

Contribution of Radio Halos to the Foreground for SKA EoR Experiments

Economic evaluation of serplulimab plus chemotherapy as the first-line treatment of oesophageal squamous cell carcinoma in China


Data Assimilation with Python: a Package for Experimental Research

Adaptive covariance inflation in the ensemble Kalman filter by Gaussian scale mixtures

Quarterly Journal of the Royal Meteorological Society

nansencenter/DAPPER: Version 0.8

Data Assimilation Networks

Journal of Advances in Modeling Earth Systems

Inferring the instability of a dynamical system from the skill of data assimilation exercises

p-Kernel Stein Variational Gradient Descent for Data Assimilation and History Matching


[CVPR 2023] DepGraph: Towards Any Structural Pruning

Pruning Filters for Efficient ConvNets

Learning Efficient Convolutional Networks through Network Slimming

Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning

Less is More: Selective Layer Finetuning with SubTuning

Towards Hardware-Specific Automatic Compression of Neural Networks

SwapNet: Efficient Swapping for DNN Inference on Edge AI Devices Beyond the Memory Budget


Open Energy Modelling Framework - Python toolbox for energy system modelling and optimisation

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

Demand Response Analysis Framework (DRAF): An Open-Source Multi-Objective Decision Support Tool for Decarbonizing Local Multi-Energy Systems


Learning embeddings for classification, retrieval and ranking.

Personalizing Dialogue Agents: I have a dog, do you have pets too?

StarSpace: Embed All The Things!

GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Dividing the Ontology Alignment Task with Semantic Embeddings and Logic-based Modules

Breaking-down the Ontology Alignment Task with a Lexical Index and Neural Embeddings

TaskAllocator: A Recommendation Approach for Role-based Tasks Allocation in Agile Software Development

Using hyperbolic large-margin classifiers for biological link prediction

International Joint Conference on Artificial Intelligence


Mixed Precision DNNs: All you need is a good parametrization

Densely connected multidilated convolutional networks for dense prediction tasks

D3Net: Densely connected multidilated DenseNet for music source separation

All for One and One for All: Improving Music Separation by Bridging Networks

Multi-Task Audio Source Separation

Data Cleansing for Deep Neural Networks with Storage-efficient Approximation of Influence Functions

Towards Robust FastSpeech 2 by Modelling Residual Multimodality

Feature-informed Latent Space Regularization for Music Source Separation


Solves basic Russian NLP tasks, API for lower level Natasha projects

WhatTheWikiFact: Fact-Checking Claims Against Wikipedia

Russian Paraphrasers: Paraphrase with Transformers

Workshop on Balto-Slavic Natural Language Processing

Entity Recognition and Relation Extraction from Scientific and Technical Texts in Russian

Hybridization of Intelligent Solutions Architecture for Text Understanding and Text Generation

WikiOmnia: filtration and evaluation of the generated QA corpus on the whole Russian Wikipedia

Proceedings of the 2nd Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)

WikiOmnia: generative QA corpus on the whole Russian Wikipedia

ISTIC’s Triangular Machine Translation System for WMT2021

RuBLiMP: Russian Benchmark of Linguistic Minimal Pairs


Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

Otter: A Multi-Modal Model with In-Context Instruction Tuning

Instruction Tuning for Large Language Models: A Survey

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

MIMIC-IT: Multi-Modal In-Context Instruction Tuning

OtterHD: A High-Resolution Multi-modality Model

Explainable Multimodal Emotion Reasoning

Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning

AffectGPT: Dataset and Framework for Explainable Multimodal Emotion
  Recognition


COVID-Net Open Source Initiative

COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images

Contrastive Learning of Medical Visual Representations from Paired Images and Text

COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs

COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images

Towards an effective and efficient deep learning model for COVID-19 patterns detection in X-ray images

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review

Unveiling COVID-19 from Chest X-ray with deeplearning: a hurdles race with small data

Zenodo (CERN European Organization for Nuclear Research)

COVID-19 Control by Computer Vision Approaches: A Survey

IEEE access : practical innovations, open solutions

BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset

A review of deep learning-based detection methods for COVID-19


Single-document unsupervised keyword extraction

YAKE! Keyword extraction from single documents using multiple local features

A Review of Keyphrase Extraction

POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training

AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions

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

TNT-KID: Transformer-based neural tagger for keyword identification

RaKUn: Rank-based Keyword extraction via Unsupervised learning and Meta vertex aggregation

Statistical Language and Speech Processing

POINTER: Constrained Text Generation via Insertion-based Generative Pre-training

A Comparative Assessment of State-Of-The-Art Methods for Multilingual Unsupervised Keyphrase Extraction

IFIP advances in information and communication technology

Discovering and Mitigating Visual Biases through Keyword Explanation

Offensive keyword extraction based on the attention mechanism of BERT and the eigenvector centrality using a graph representation


The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

Building a global alliance of biofoundries

dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python

Plotly-Resampler: Effective Visual Analytics for Large Time Series

Brand Intelligence Analytics

Reverse-zoonoses of 2009 H1N1 pandemic influenza A viruses and evolution in United States swine results in viruses with zoonotic potential

Leafmap: A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

On the Origin of LLMs: An Evolutionary Tree and Graph for 15,821 Large Language Models

SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks

Accessible Color Sequences for Data Visualization

A global survey of Salmonella plasmids and their associations with antimicrobial resistance


Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network,  in Pytorch

Hierarchical Text-Conditional Image Generation with CLIP Latents

RePaint: Inpainting using Denoising Diffusion Probabilistic Models

Efficient Attention: Attention with Linear Complexities

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

Vector-quantized Image Modeling with Improved VQGAN

Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models

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

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

An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions

AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics


Deep Learning toolkit for Computer Vision.

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

SSD: Single Shot MultiBox Detector

Mask R-CNN

Focal Loss for Dense Object Detection

Automatic Cobb Angle Detection using Vertebra Detector and Vertebra Corners Regression

A Neural Networks Approach to Detecting Lost Heritage in Historical Video

ISPRS International Journal of Geo-Information


A list of all named GANs!

Image Segmentation Using Deep Learning: A Survey

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

PacGAN: The power of two samples in generative adversarial networks

Biometrics recognition using deep learning: a survey

CapsuleGAN: Generative Adversarial Capsule Network

Deep learning in electron microscopy

Machine Learning: Science and Technology

Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives

Semi-Supervised Learning for Seismic Impedance Inversion Using Generative Adversarial Networks

Dialectical GAN for SAR Image Translation: From Sentinel-1 to TerraSAR-X

Applications of Generative Adversarial Networks in Anomaly Detection: A Systematic Literature Review


A collection of fuzzers in a harness for testing the SpiderMonkey JavaScript engine.

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)

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation

SQUIRREL: Testing Database Management Systems with Language Validity and Coverage Feedback

NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers

Liveness-Driven Random Program Generation

WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models

Exposing Bugs in JavaScript Engines through Test Transplantation and Differential Testing

CorbFuzz: Checking Browser Security Policies with Fuzzing


LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time

International Conference on Robotics and Automation

Autonomous Exploration Development Environment and the Planning Algorithms

Generating Large Convex Polytopes Directly on Point Clouds

Factor Graph Accelerator for LiDAR-Inertial Odometry (Invited Paper)

3D LiDAR Point Cloud Registration Based on IMU Preintegration in Coal Mine Roadways

Piecewise Linear De-skewing for LiDAR Inertial Odometry

GNSS/Multi-Sensor Fusion Using Continuous-Time Factor Graph Optimization for Robust Localization

onlineFGO: Online Continuous-Time Factor Graph Optimization with Time-Centric Multi-Sensor Fusion for Robust Localization in Large-Scale Environments


LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

Feature Refinement to Improve High Resolution Image Inpainting

AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Gradpaint: Gradient-Guided Inpainting with Diffusion Models

Perceptual Artifacts Localization for Image Synthesis Tasks


MuZero

Mastering Atari, Go, chess and shogi by planning with a learned model

Mastering Atari Games with Limited Data

Deep Reinforcement Learning

State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding

Beyond Games: A Systematic Review of Neural Monte Carlo Tree Search Applications

LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios

Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision

What model does MuZero learn?


Repository for the Python Crop Simulation Environment

Catching-up with genetic progress: Simulation of potential production for modern wheat cultivars in the Netherlands


EASE (Enhanced AI Scoring Engine) is a library that allows for machine learning based classification of textual content.  This is useful for tasks such as scoring student essays.

A Neural Approach to Automated Essay Scoring

Empirical Methods in Natural Language Processing

Automatic Features for Essay Scoring – An Empirical Study

SkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring

Flexible Domain Adaptation for Automated Essay Scoring Using Correlated Linear Regression

Automated language essay scoring systems: A literature review

A Neural Local Coherence Model for Text Quality Assessment

Augmenting Textual Qualitative Features in Deep Convolution Recurrent Neural Network for Automatic Essay Scoring

NATURAL LANGUAGE PROCESSING TECHNIQUES FOR EDUCATIONAL APPLICATIONS

Automated Essay Scoring based on Two-Stage Learning

On the Use of BERT for Automated Essay Scoring: Joint Learning of Multi-Scale Essay Representation

Co-Attention Based Neural Network for Source-Dependent Essay Scoring

Workshop on Innovative Use of NLP for Building Educational Applications


DARPA Challenges Sets for Linux, Windows, and macOS

NEUZZ: Efficient Fuzzing with Neural Program Smoothing

Magma: A Ground-Truth Fuzzing Benchmark

Proceedings of the ACM on Measurement and Analysis of Computing Systems

Adaptive Grey-Box Fuzz-Testing with Thompson Sampling

Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security

Improving Grey-Box Fuzzing by Modeling Program Behavior

Evolutionary Mutation-based Fuzzing as Monte Carlo Tree Search

Top of the Heap: Efficient Memory Error Protection for Many Heap Objects


ACHE is a web crawler for domain-specific search.

inTIME: A Machine Learning-Based Framework for Gathering and Leveraging Web Data to Cyber-Threat Intelligence

A Crawler Architecture for Harvesting the Clear, Social, and Dark Web for IoT-Related Cyber-Threat Intelligence

Hydria: An Online Data Lake for Multi-Faceted Analytics in the Cultural Heritage Domain

Bootstrapping Domain-Specific Content Discovery on the Web

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

NLP-Based Techniques for Cyber Threat Intelligence

ThreatCrawl: A BERT-based Focused Crawler for the Cybersecurity Domain


Python implementation of TextRank algorithms ("textgraphs") for phrase extraction

Energy and Policy Considerations for Deep Learning in NLP

Show Your Work: Improved Reporting of Experimental Results

Context-Aware Sentence/Passage Term Importance Estimation For First Stage Retrieval

The Microsoft Academic Knowledge Graph enhanced: Author name disambiguation, publication classification, and embeddings

Understanding Horizon 2020 Data: A Knowledge Graph-Based Approach

Parmesan: mathematical concept extraction for education

Hierarchical Attention Transformer Architecture For Syntactic Spell Correction

Identifying Early Warning Signals from News Using Network Community Detection

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


Generate images from texts. In Russian

eco2AI: Carbon Emissions Tracking of Machine Learning Models as the First Step Towards Sustainable AI

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

Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion

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

StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Model

Emojich -- zero-shot emoji generation using Russian language: a technical report

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