CLIP (Contrastive Language-Image Pretraining),  Predict the most relevant text snippet given an image

Learning Transferable Visual Models From Natural Language Supervision

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

On the Opportunities and Risks of Foundation Models

Learning to Prompt for Vision-Language Models

Conditional Prompt Learning for Vision-Language Models

CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

Robust fine-tuning of zero-shot models

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

CLIPort: What and Where Pathways for Robotic Manipulation


Text-Prompted Generative Audio Model

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

AudioLM: a Language Modeling Approach to Audio Generation

A review of deep learning techniques for speech processing

InternGPT: Solving Vision-Centric Tasks by Interacting with ChatGPT Beyond Language

BASE TTS: Lessons from building a billion-parameter Text-to-Speech model
  on 100K hours of data

WavJourney: Compositional Audio Creation with Large Language Models

The VoicePrivacy 2024 Challenge Evaluation Plan

From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion

Speaker anonymization using neural audio codec language models

Vec-Tok Speech: speech vectorization and tokenization for neural speech generation


JARVIS-Tools: an open-source software package for data-driven atomistic materials design. Publications: https://scholar.google.com/citations?user=3w6ej94AAAAJ

Recent advances and applications of deep learning methods in materials science

Atomistic Line Graph Neural Network for improved materials property predictions

The joint automated repository for various integrated simulations (JARVIS) for data-driven materials design

Machine learning with force-field-inspired descriptors for materials: Fast screening and mapping energy landscape

Accelerated Discovery of Efficient Solar-cell Materials using Quantum and Machine-learning Methods.

Chemistry of materials : a publication of the American Chemical Society

Computational screening of high-performance optoelectronic materials using OptB88vdW and TB-mBJ formalisms

Convergence and machine learning predictions of Monkhorst-Pack k-points and plane-wave cut-off in high-throughput DFT calculations

High-throughput density functional perturbation theory and machine learning predictions of infrared, piezoelectric, and dielectric responses

Computational search for magnetic and non-magnetic 2D topological materials using unified spin–orbit spillage screening

Data-driven discovery of 3D and 2D thermoelectric materials

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


Merlin is a cross-platform post-exploitation HTTP/2 Command & Control  server and agent written in golang.

Clustered Federated Learning Architecture for Network Anomaly Detection in Large Scale Heterogeneous IoT Networks

Gotham Testbed: A Reproducible IoT Testbed for Security Experiments and Dataset Generation

PicoDomain: A Compact High-Fidelity Cybersecurity Dataset


Open source software for medical image processing from the Empenn team

Unsupervised Domain Adaptation With Optimal Transport in Multi-Site Segmentation of Multiple Sclerosis Lesions From MRI Data

Boutiques: a flexible framework to integrate command-line applications in computing platforms

Changes in brain perfusion in successive arterial spin labeling MRI scans in neonates with hypoxic-ischemic encephalopathy

Evaluation of Six Phase Encoding Based Susceptibility Distortion Correction Methods for Diffusion MRI

Evaluation of distortion correction methods in diffusion MRI of the spinal cord

Comprehensive Maximum Likelihood Estimation of Diffusion Compartment Models Towards Reliable Mapping of Brain Microstructure

Medical Image Computing and Computer-Assisted Intervention

Multiparametric Analysis of Cerebral Development in Preterm Infants Using Magnetic Resonance Imaging

Boutiques: a flexible framework for automated application integration in computing platforms

Connectivity patterns of the core resting-state networks associated with apathy in late-life depression

Journal of psychiatry & neuroscience : JPN

A three year follow-up study of gadolinium enhanced and non-enhanced regions in multiple sclerosis lesions using a multi-compartment T2 relaxometry model


Full description can be found here: https://discuss.huggingface.co/t/pretrain-gpt-neo-for-open-source-github-copilot-model/7678?u=ncoop57

Language Models are Few-Shot Learners

Evaluating Large Language Models Trained on Code

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

Measuring Coding Challenge Competence With APPS

Large Language Models Meet NL2Code: A Survey

LLM is Like a Box of Chocolates: the Non-determinism of ChatGPT in Code Generation

CERT: Continual Pre-Training on Sketches for Library-Oriented Code Generation

SkCoder: A Sketch-based Approach for Automatic Code Generation

When Language Model Meets Private Library

A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends


An asynchronous programming facility for Scala

Implementing a Language for Distributed Systems: Choices and Experiences with Type Level and Macro Programming in Scala

The Art, Science, and Engineering of Programming

On the Soundness of Coroutines with Snapshots


FORCE11 Software Citation Implementation Working Group

Software Citation Principles

Towards FAIR principles for research software

FAIR Computational Workflows

Zenodo (CERN European Organization for Nuclear Research)

From FAIR research data toward FAIR and open research software

Taking a fresh look at FAIR for research software

Recognizing the value of software: a software citation guide

Software Citation Implementation Challenges

Nine best practices for research software registries and repositories

SciCodes: Astronomy Research Software and Beyond

Streamlining and standardizing software citations with The Software
  Citation Station


Torchreid: Deep learning person re-identification in PyTorch.

Omni-Scale Feature Learning for Person Re-Identification

Domain Generalization with MixStyle

Style Normalization and Restitution for Generalizable Person Re-identification

Deep Transfer Learning for Person Re-identification

Learning Generalisable Omni-Scale Representations for Person Re-Identification

Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch

Body Part-Based Representation Learning for Occluded Person Re-Identification

MixStyle Neural Networks for Domain Generalization and Adaptation

Joint Person Objectness and Repulsion for Person Search

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

Information Retrieval: Recent Advances and Beyond


Accurate Neural Network Potential on PyTorch

Extending the Applicability of the ANI Deep Learning Molecular Potential to Sulfur and Halogens

Journal of chemical theory and computation

TorchANI: A Free and Open Source PyTorch Based Deep Learning Implementation of the ANI Neural Network Potentials

Journal of chemical information and modeling

The ANI-1ccx and ANI-1x Data Sets, Coupled-Cluster and Density Functional Theory Properties for Molecules

Choosing the right molecular machine learning potential

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

Differentiable sampling of molecular geometries with uncertainty-based adversarial attacks

MLatom 2: An Integrative Platform for Atomistic Machine Learning


List of satellite image training datasets with annotations for computer vision and deep learning

SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion

Overhead MNIST: A Benchmark Satellite Dataset

Tinto: Multisensor Benchmark for 3-D Hyperspectral Point Cloud Segmentation in the Geosciences

Channel Vision Transformers: An Image Is Worth C x 16 x 16 Words


The hub for EleutherAI's work on interpretability and learning dynamics

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

Finding Neurons in a Haystack: Case Studies with Sparse Probing

Emergent and Predictable Memorization in Large Language Models

The Quantization Model of Neural Scaling

Transformer models: an introduction and catalog

Datasheet for the Pile

Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspective

Word Embeddings Are Steers for Language Models

Layer-wise Linear Mode Connectivity

FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs


Terminal-based CPU stress and monitoring utility

A Neural Network-Based On-device Learning Anomaly Detector for Edge Devices

LightESD: Fully-Automated and Lightweight Anomaly Detection Framework for Edge Computing


A lightweight conic solver for second-order cone programming.

BROJA-2PID: A Robust Estimator for Bivariate Partial Information Decomposition

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

Parallel-beam X-ray CT datasets of apples with internal defects and label balancing for machine learning


Data access library for the MeerKAT radio telescope

Analysis of physical processes in eruptive YSOs with near-infrared spectra and multiwavelength light curves

The 1.28 GHz MeerKAT Galactic Center Mosaic

MeerKAT Primary-beam Measurements in the L Band

KERN

Multi-dimensional radio frequency interference framework for characterizing radio astronomy observatories

Simultaneous X-ray and radio observations of the transitional millisecond pulsar candidate CXOU J110926.4-650224. The discovery of a variable radio counterpart

MeerKAT's discovery of a radio relic in the bimodal merging cluster A2384

Monthly Notices of the Royal Astronomical Society

Mining mini-halos with MeerKAT I. Calibration and imaging

MeerKAT follow-up of enigmatic GLEAM 4-Jy (G4Jy) sources

A new pulsar candidate in 47 Tucanae discovered with MeerKAT imaging


An offline deep reinforcement learning library

Conservative Q-Learning for Offline Reinforcement Learning

Off-Policy Deep Reinforcement Learning without Exploration

Decision Transformer: Reinforcement Learning via Sequence Modeling

Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction

Offline Reinforcement Learning with Implicit Q-Learning

PLAS: Latent Action Space for Offline Reinforcement Learning

Human-to-Robot Imitation in the Wild

RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning

d3rlpy: An Offline Deep Reinforcement Learning Library

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning


Build and share delightful machine learning apps, all in Python.  Star to support our work!

Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild

LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset


Geographical Data Processing in the Cloud

An Overview of Platforms for Big Earth Observation Data Management and Analysis

A Cloud-Based Evaluation of the National Land Cover Database to Support New Mexico's Food-Energy-Water Systems


Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization

Larq: An Open-Source Library for Training Binarized Neural Networks

A comprehensive review of Binary Neural Network

Towards adversarial robustness with 01 loss neural networks

YFlows: Systematic Dataflow Exploration and Code Generation for Efficient Neural Network Inference using SIMD Architectures on CPUs


Analysis components from Oxford Nanopore Research

Nanopore sequencing and the Shasta toolkit enable efficient de novo assembly of eleven human genomes

Novel Insights and Features of the NDM-5-Producing Escherichia coli Sequence Type 167 High-Risk Clone

Efficient de novo assembly of eleven human genomes using PromethION sequencing and a novel nanopore toolkit

Contrasting patterns of microbial dominance in the Arabidopsis thaliana phyllosphere

Systematic Comparison of Nanopore and Illumina Sequencing for the Detection of Plant Viruses and Viroids Using Total RNA Sequencing Approach

Chromosome-Scale Genome Assembly of Two Australian Nannochloropsis oceanica Isolates Exhibiting Superior Lipid Characteristics

MrHAMER yields highly accurate single molecule viral sequences enabling analysis of intra-host evolution

High-quality Cymbidium mannii genome and multifaceted regulation of crassulacean acid metabolism in epiphytes

New Microviridae isolated from Sulfitobacter reveals two cosmopolitan subfamilies of single-stranded DNA phages infecting marine and terrestrial Alphaproteobacteria

Rapid genotyping of porcine reproductive and respiratory syndrome virus (PRRSV) using MinION nanopore sequencing


microbiome R package

The gut microbiota plays a protective role in the host defence against pneumococcal pneumonia

microViz: an R package for microbiome data visualization and statistics

Comparison of Small Gut and Whole Gut Microbiota of First-Degree Relatives With Adult Celiac Disease Patients and Controls

Influences of Climate on Phyllosphere Endophytic Bacterial Communities of Wild Poplar

In vitro Fermentation Reveals Changes in Butyrate Production Dependent on Resistant Starch Source and Microbiome Composition

Key Factors Governing Microbial Community in Extremely Acidic Mine Drainage (pH <3)

Transport to the Slaughterhouse Affects the Salmonella Shedding and Modifies the Fecal Microbiota of Finishing Pigs

Animals : an open access journal from MDPI

Composition of cutaneous bacterial microbiome in seborrheic dermatitis patients: A cross-sectional study

High Level of Interaction between Phages and Bacteria in an Artisanal Raw Milk Cheese Microbial Community

Fecal microbiota composition associates with the capacity of human peripheral blood monocytes to differentiate into immunogenic dendritic cells in vitro


Creative Commons Attribution 4.0 International

Scientific Document Summarization Corpus and Annotations from the WING NUS group.

ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks

Scientific document summarization via citation contextualization and scientific discourse

International Journal on Digital Libraries

Overview of the CL-SciSumm 2016 Shared Task

The CL-SciSumm Shared Task 2018: Results and Key Insights

Overview and Results: CL-SciSumm Shared Task 2019

Overview and Insights from the Shared Tasks at Scholarly Document Processing 2020: CL-SciSumm, LaySumm and LongSumm

Empirical Methods in Natural Language Processing

Towards Zero-Shot Conditional Summarization with Adaptive Multi-Task Fine-Tuning

IITP-AI-NLP-ML@ CL-SciSumm 2020, CL-LaySumm 2020, LongSumm 2020

IR&TM-NJUST@CLSciSumm 20


A GPT-empowered penetration testing tool

From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy

PentestGPT: An LLM-empowered Automatic Penetration Testing Tool

GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis

AutoAttacker: A Large Language Model Guided System to Implement
  Automatic Cyber-attacks

Self-Deception: Reverse Penetrating the Semantic Firewall of Large Language Models

ExploitFlow, cyber security exploitation routes for Game Theory and AI research in robotics

Large language models in 6G security: challenges and opportunities


Hyper-parameter optimization for sklearn

Benchmark and Survey of Automated Machine Learning Frameworks

Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn

Proceedings of the Python in Science Conferences

Bayesian Optimization for Categorical and Category-Specific Continuous Inputs

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


:fire: 2D and 3D Face alignment library build using pytorch

How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)

International Conference on Computer Vision

Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection

Learning Spatial Attention for Face Super-Resolution

G3AN: Disentangling Appearance and Motion for Video Generation

Two-Stage Convolutional Part Heatmap Regression for the 1st 3D Face Alignment in the Wild (3DFAW) Challenge

Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection

The 1st Challenge on Remote Physiological Signal Sensing (RePSS)

Neuron Structure Modeling for Generalizable Remote Physiological Measurement

3D-FM GAN: Towards 3D-Controllable Face Manipulation

SVTS: Scalable Video-to-Speech Synthesis


Splitting Conic Solver

Conic Optimization via Operator Splitting and Homogeneous Self-Dual Embedding

Differentiable Convex Optimization Layers

Learning heat diffusion graphs

Globally Convergent Type-I Anderson Acceleration for Nonsmooth Fixed-Point Iterations

Large-Scale Convex Optimization for Dense Wireless Cooperative Networks

A Survey of Recent Scalability Improvements for Semidefinite Programming with Applications in Machine Learning, Control, and Robotics

Evaluating the Holevo Cramér-Rao bound for multiparameter quantum metrology

Chordal decomposition in operator-splitting methods for sparse semidefinite programs

LMI Properties and Applications in Systems, Stability, and Control Theory

Operator splitting for a homogeneous embedding of the linear complementarity problem


End-to-End Object Detection with Transformers

MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers

DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR

UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

DiffusionDet: Diffusion Model for Object Detection

Multimodal Chain-of-Thought Reasoning in Language Models

Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers

Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding

Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors

Hopper: Multi-hop Transformer for Spatiotemporal Reasoning


Open-source foundation of the user-sponsored PyMOL molecular visualization system.

Highly accurate protein structure prediction with AlphaFold

Highly accurate protein structure prediction for the human proteome

Accurate structure prediction of biomolecular interactions with AlphaFold 3

SARS-CoV-2 B.1.617 Mutations L452R and E484Q Are Not Synergistic for Antibody Evasion

Alpha-Synuclein defects autophagy by impairing SNAP29-mediated autophagosome-lysosome fusion

Machine Learning Coarse-Grained Potentials of Protein Thermodynamics

Sequence-structure-function relationships in the microbial protein universe

mRNA lipid nanoparticle phase transition

Thermostable designed ankyrin repeat proteins (DARPins) as building blocks for innovative drugs

Efficient polyethylene terephthalate degradation at moderate temperature: a protein engineering study of LC-cutinase highlights the key role of residue 243


:round_pushpin: Repel overlapping text labels away from each other in your ggplot2 figures.

QKI is a critical pre-mRNA alternative splicing regulator of cardiac myofibrillogenesis and contractile function

Transcriptomic resources for the medicinal legume Mucuna pruriens: de novo transcriptome assembly, annotation, identification and validation of EST-SSR markers

Genome-wide studies reveal the essential and opposite roles of ARID1A in controlling human cardiogenesis and neurogenesis from pluripotent stem cells

rigrag: high-resolution mapping of genic targeting preferences during HIV-1 integration in vitro and in vivo

Emergence of distinct syntenic density regimes is associated with early metazoan genomic transitions

Sex-Specific Relationship between the Cardiorespiratory Fitness and Plasma Metabolite Patterns in Healthy Humans—Results of the KarMeN Study

Power of inclusion: Enhancing polygenic prediction with admixed individuals

Genetic Diversity and Pedigree Analysis of Red Currant Germplasm

Between Raetia Secunda and the dutchy of Bavaria: Exploring patterns of human movement and diet

Reducing MYC's transcriptional footprint unveils a good prognostic gene signature in melanoma


Perspective is an API that uses machine learning models to score the perceived impact a comment might have on a conversation. See https://developers.perspectiveapi.com for more information.

Galactica: A Large Language Model for Science

Editing Models with Task Arithmetic

Predictability and Surprise in Large Generative Models

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

Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models

Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective

Journal of Artificial Intelligence Research

Risk management in the Artificial Intelligence Act

"Is it a Qoincidence?": An Exploratory Study of QAnon on Voat

A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity

Mitigating harm in language models with conditional-likelihood filtration


High-Performance Symbolic Regression in Python and Julia

Discovering Symbolic Models from Deep Learning with Inductive Biases

Rediscovering orbital mechanics with machine learning

Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization

Augmenting astrophysical scaling relations with machine learning: application to reducing the Sunyaev-Zeldovich flux-mass scatter

The SZ flux-mass (Y-M) relation at low halo masses: improvements with symbolic regression and strong constraints on baryonic feedback

Modeling assembly bias with machine learning and symbolic regression

Cosmic backreaction and the mean redshift drift from symbolic regression

Automated discovery of interpretable gravitational-wave population models

Symbolic Regression on FPGAs for Fast Machine Learning Inference


An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction

MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction

Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement

Structure-Aware Sparse-View X-ray 3D Reconstruction


汉字转拼音(pypinyin)

DeepSinger: Singing Voice Synthesis with Data Mined From the Web

Multi-Singer: Fast Multi-Singer Singing Voice Vocoder With A Large-Scale Corpus

Which Encoding is the Best for Text Classification in Chinese, English, Japanese and Korean?

MaskGEC: Improving Neural Grammatical Error Correction via Dynamic Masking

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

Rigid Formats Controlled Text Generation

Phonetic-enriched Text Representation for Chinese Sentiment Analysis with Reinforcement Learning

Neural Machine Translation of Logographic Languages Using Sub-character Level Information

g2pM: A Neural Grapheme-to-Phoneme Conversion Package for Mandarin Chinese Based on a New Open Benchmark Dataset

EditSpeech: A Text Based Speech Editing System Using Partial Inference and Bidirectional Fusion

Prosospeech: Enhancing Prosody with Quantized Vector Pre-Training in Text-To-Speech


MACS -- Model-based Analysis of ChIP-Seq

ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia

Conserved epigenomic signals in mice and humans reveal immune basis of Alzheimer’s disease

β-Glucan Reverses the Epigenetic State of LPS-Induced Immunological Tolerance

Arabidopsis basic helix-loop-helix transcription factors MYC2, MYC3, and MYC4 regulate glucosinolate biosynthesis, insect performance, and feeding behavior.

Comparative cellular analysis of motor cortex in human, marmoset and mouse

Chromatin and Single-Cell RNA-Seq Profiling Reveal Dynamic Signaling and Metabolic Transitions during Human Spermatogonial Stem Cell Development

The long non-coding RNA Paupar regulates the expression of both local and distal genes

The Implication of Early Chromatin Changes in X Chromosome Inactivation

The long non-coding RNA Dali is an epigenetic regulator of neural differentiation

CTCF mediates chromatin looping via N-terminal domain-dependent cohesin retention

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


Data compression in TensorFlow

End-to-end Optimized Image Compression

Variational image compression with a scale hyperprior

High-Fidelity Generative Image Compression

Channel-wise Autoregressive Entropy Models for Learned Image Compression

CompressAI: a PyTorch library and evaluation platform for end-to-end compression research

Improving Inference for Neural Image Compression

An Introduction to Neural Data Compression

Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform

Efficient Nonlinear Transforms for Lossy Image Compression

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


Make Complex Heatmaps

Structural and Functional Analysis of the GRAS Gene Family in Grapevine Indicates a Role of GRAS Proteins in the Control of Development and Stress Responses

Spatio-Temporal Interdependence of Bacteria and Phytoplankton during a Baltic Sea Spring Bloom

MicroRNA-27a-5p regulation by promoter methylation and MYC signaling in prostate carcinogenesis

A Landscape of Murine Long Non-Coding RNAs Reveals the Leading Transcriptome Alterations in Adipose Tissue during Aging

Active DNA demethylation regulates tracheary element differentiation in Arabidopsis

ATP11B inhibits breast cancer metastasis in a mouse model by suppressing externalization of nonapoptotic phosphatidylserine

The tertiary lymphoid structure-related signature identified PTGDS in regulating PD-L1 and promoting the proliferation and migration of glioblastoma

Genome-Wide Identification and Characterization of wALOG Family Genes Involved in Branch Meristem Development of Branching Head Wheat

Bexmarilimab-induced macrophage activation leads to treatment benefit in solid tumors: The phase I/II first-in-human MATINS trial

Comparative Analysis of Public RNA-Sequencing Data from Human Intestinal Enteroid (HIEs) Infected with Enteric RNA Viruses Identifies Universal and Virus-Specific Epithelial Responses


A high-performance DNS stub resolver for bulk lookups and reconnaissance (subdomain enumeration)

ZDNS: A Fast DNS Toolkit for Internet Measurement

Proceedings of the 22nd ACM Internet Measurement Conference

Active TLS Stack Fingerprinting: Characterizing TLS Server Deployments at Scale

A First Look at SVCB and HTTPS DNS Resource Records in the Wild

2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)

Why E.T. Can't Phone Home: A Global View on IP-based Geoblocking at
  VoWiFi

Diffie-Hellman Picture Show: Key Exchange Stories from Commercial VoWiFi
  Deployments


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

ICON: Implicit Clothed humans Obtained from Normals

Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research

NerfAcc: Efficient Sampling Accelerates NeRFs

Zero-Shot 3D Shape Correspondence

Gaussian Opacity Fields: Efficient and Compact Surface Reconstruction in
  Unbounded Scenes

CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation

PERGAMO: Personalized 3D Garments from Monocular Video

Language-guided Semantic Style Transfer of 3D Indoor Scenes

Surrogate Modeling of Car Drag Coefficient with Depth and Normal Renderings


Fast parallel CTC.

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

Wav2Letter: an End-to-End ConvNet-based Speech Recognition System

First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs

Direct Acoustics-to-Word Models for English Conversational Speech Recognition

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

FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAs

LSTM Benchmarks for Deep Learning Frameworks

Small-footprint Keyword Spotting Using Deep Neural Network and Connectionist Temporal Classifier

No Padding Please: Efficient Neural Handwriting Recognition

International Conference on Document Analysis and Recognition

Multilingual Adaptation of RNN Based ASR Systems


Language-Agnostic SEntence Representations

Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond

No Language Left Behind: Scaling Human-Centered Machine Translation

WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia

CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB

MTEB: Massive Text Embedding Benchmark

Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings

CCAligned: A Massive Collection of Cross-Lingual Web-Document Pairs

Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing

Deep Learning Models for Multilingual Hate Speech Detection

Overview of the 8th Workshop on Asian Translation


An open-source framework for training large multimodal models.

Flamingo: a Visual Language Model for Few-Shot Learning

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

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

Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text

Visual Instruction Tuning with Polite Flamingo

What Makes for Good Visual Tokenizers for Large Language Models?

Exploring Diverse In-Context Configurations for Image Captioning

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

EgoPlan-Bench: Benchmarking Egocentric Embodied Planning with Multimodal Large Language Models


An EPANET compatible python package to simulate and analyze water distribution networks under disaster scenarios.

An Overview of the Water Network Tool for Resilience (WNTR)

WDSA / CCWI Joint Conference Proceedings

Multi-scale planning model for robust urban drought response


DID resolver for Ethereum Addresses with support for key management

A Universal System for OpenID Connect Sign-ins with Verifiable Credentials and Cross-Device Flow

DAXiot: A Decentralized Authentication and Authorization Scheme for Dynamic IoT Networks


This library provides a framework for assessing wind plant performance using operational assessment (OA) methodologies that consume time series data from wind plants. The goal of the project is to provide an open source implementation of common data structures, analysis methods, and utility functions relevant to wind plant OA.

OpenOA: An Open-Source Codebase For Operational Analysis of Wind Farms

Operational-Based Annual Energy Production Uncertainty: Are its Components Actually Uncorrelated?

Considering Uncertainties of Key Performance Indicators in Wind Turbine Operation

Reviewing methods and assumptions for high-resolution large-scale onshore wind energy potential assessments

Identification and prioritization of low performing wind turbines using a power curve health value approach

Are Uncertainty Categories in a Wind Farm Annual Energy Production Estimate Actually Uncorrelated?


Go implementation of the Ethereum protocol

A Survey on the Security of Blockchain Systems

A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks

An overview on smart contracts: Challenges, advances and platforms

Smart Contract-Based Access Control for the Internet of Things

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

Decentralization in Bitcoin and Ethereum Networks

Decentralized Applications: The Blockchain-Empowered Software System

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

Sereum: Protecting Existing Smart Contracts Against Re-Entrancy Attacks

SoK: Transparent Dishonesty: Front-Running Attacks on Blockchain


JA3 is a standard for creating SSL client fingerprints in an easy to produce and shareable way.

Collection of datasets with DNS over HTTPS traffic

Accurate TLS Fingerprinting using Destination Context and Knowledge Bases

SiamHAN: IPv6 Address Correlation Attacks on TLS Encrypted Traffic via Siamese Heterogeneous Graph Attention Network

Unsupervised Detection and Clustering of Malicious TLS Flows

Challenges in Adapting ECH in TLS for Privacy Enhancement over the Internet

Honeypot Implementation in a Cloud Environment


:memo: A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion / autosuggestion

Calculated Avoidance: Math Anxiety Predicts Math Avoidance in Effort-Based Decision-Making

Fast and general density peaks clustering

Practical Volume-Based Attacks on Encrypted Databases

Controllable Open-ended Question Generation with A New Question Type Ontology

Preparing Bengali-English Code-Mixed Corpus for Sentiment Analysis of Indian Languages

Named Entity Recognition and Hashtag Decomposition to Improve the Classification of Tweets

International Conference on Computational Linguistics

Selecting Seed Words for Wordle using Character Statistics

Differentially Private Histograms in the Shuffle Model from Fake Users

Analyzing the Quality of Twitter Data Streams

Information systems frontiers : a journal of research and innovation

Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach


Face detection and recognition framework

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

TinyML: Analysis of Xtensa LX6 microprocessor for Neural Network Applications by ESP32 SoC

Microcontrollers on the Edge – Is ESP32 with Camera Ready for Machine Learning?


Official repository of open data MassBank records

Chemical Diversity and Classification of Secondary Metabolites in Nine Bryophyte Species

MS2Tox Machine Learning Tool for Predicting the Ecotoxicity of Unidentified Chemicals in Water by Nontarget LC-HRMS


The NetHack Learning Environment

The NetHack Learning Environment

Learning with AMIGo: Adversarially Motivated Intrinsic Goals

BeBold: Exploration Beyond the Boundary of Explored Regions

WordCraft: An Environment for Benchmarking Commonsense Agents

Improving Policy Learning via Language Dynamics Distillation

Dungeons and Data: A Large-Scale NetHack Dataset

Grounding Aleatoric Uncertainty for Unsupervised Environment Design


A tool for extracting plain text from Wikipedia dumps

Cross-lingual Language Model Pretraining

ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic

FlauBERT: Unsupervised Language Model Pre-training for French

XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation

LinkBERT: Pretraining Language Models with Document Links

Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia

German's Next Language Model

Assessing Social and Intersectional Biases in Contextualized Word Representations

Brains and algorithms partially converge in natural language processing

CoLAKE: Contextualized Language and Knowledge Embedding


Shellphish's automated exploitation engine, originally created for the Cyber Grand Challenge.

Survey of Automated Vulnerability Detection and Exploit Generation Techniques in Cyber Reasoning Systems

Pandora: A Cyber Range Environment for the Safe Testing and Deployment of Autonomous Cyber Attack Tools

AEMB: An Automated Exploit Mitigation Bypassing Solution


Grammars written for ANTLR v4; expectation that the grammars are free of actions.

Superion: Grammar-Aware Greybox Fuzzing

Mapping Language to Code in Programmatic Context

9.6 Million Links in Source Code Comments: Purpose, Evolution, and Decay

Darwinian data structure selection

Code-based Vulnerability Detection in Node.js Applications: How far are we?

Syntax error recovery in parsing expression grammars

Does Python Smell Like Java? Tool Support for Design Defect Discovery in Python

HSTREAM: A directive-based language extension for heterogeneous stream computing

Nez: practical open grammar language

A Declarative Extension of Parsing Expression Grammars for Recognizing Most Programming Languages


libprotobuf-mutator bindings for Python using Atheris.

Deriving Semantics-Aware Fuzzers from Web API Schemas

IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks

cmaes : A Simple yet Practical Python Library for CMA-ES

Chain-of-Thought Prompting of Large Language Models for Discovering and
  Fixing Software Vulnerabilities

Sydr-Fuzz: Continuous Hybrid Fuzzing and Dynamic Analysis for Security Development Lifecycle

The CURE To Vulnerabilities in RPKI Validation


StarCraft II Client - protocol definitions used to communicate with StarCraft II.

StarCraft II: A New Challenge for Reinforcement Learning

AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning

Unsupervised Hebbian Learning on Point Sets in StarCraft II

Forecasting Evolution of Clusters in Game Agents with Hebbian Learning


Easy benchmarking of all publicly accessible implementations of convnets

Very Deep Convolutional Networks for Large-Scale Image Recognition

TensorFlow: A system for large-scale machine learning

OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks

Theano: A Python framework for fast computation of mathematical expressions

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

cuDNN: Efficient Primitives for Deep Learning

Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks

YodaNN: An Ultra-Low Power Convolutional Neural Network Accelerator Based on Binary Weights

Faster CNNs with Direct Sparse Convolutions and Guided Pruning

Comparative Study of Deep Learning Software Frameworks


Simple simulation code for HERA-like redundant interferometric arrays

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

Mitigating Internal Instrument Coupling I: Temporal and Spectral Modeling

Optimizing sparse RFI prediction using deep learning

Monthly notices of the Royal Astronomical Society

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

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

Learning to detect RFI in radio astronomy without seeing it

Zenodo (CERN European Organization for Nuclear Research)

matvis: A matrix-based visibility simulator for fast forward modelling of many-element 21 cm arrays


Burrow-Wheeler Aligner for short-read alignment (see minimap2 for long-read alignment)

Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM

Pan-cancer whole-genome analyses of metastatic solid tumours

Telomere-to-telomere assembly of a complete human X chromosome

Genome graphs and the evolution of genome inference

Enzymatic methyl sequencing detects DNA methylation at single-base resolution from picograms of DNA

Real-time DNA barcoding in a rainforest using nanopore sequencing: opportunities for rapid biodiversity assessments and local capacity building

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

Combined mutation in Vhl, Trp53 and Rb1 causes clear cell renal cell carcinoma in mice

Chromosome-level genome assembly of a parent species of widely cultivated azaleas

Curated variation benchmarks for challenging medically relevant autosomal genes


Lightning fast C++/CUDA neural network framework

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

Nerfstudio: A Modular Framework for Neural Radiance Field Development

Extracting Triangular 3D Models, Materials, and Lighting From Images

Real-time neural radiance caching for path tracing

SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields

Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized Mapping

HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion

DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models

Human Performance Modeling and Rendering via Neural Animated Mesh

Graph Neural Networks for Channel Decoding


USGS Modular Hydrologic Model


Track commercial fishing activity worldwide on the free, user-friendly, interactive Global Fishing Watch map.


Self-describing content-addressed identifiers for distributed systems

GLASS: A Citizen-Centric Distributed Data-Sharing Model within an e-Governance Architecture

A Fully Decentralized Triplestore Managed via the Ethereum Blockchain

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

The Future of Integrated Digital Governance in the EU: EBSI and GLASS


:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

SOM-VAE: Interpretable Discrete Representation Learning on Time Series

Adaptable and Explainable Predictive Maintenance: Semi-Supervised Deep Learning for Anomaly Detection and Diagnosis in Press Machine Data

The impact of spectroscopic incompleteness in direct calibration of redshift distributions for weak lensing surveys

Monthly Notices of the Royal Astronomical Society

Mapping global dynamics of benchmark creation and saturation in artificial intelligence

Improving the reliability of photometric redshift with machine learning

Optimizing COVID-19 vaccine distribution across the United States using deterministic and stochastic recurrent neural networks

A Comparison of Linear and Non-Linear Machine Learning Techniques (PCA and SOM) for Characterizing Urban Nutrient Runoff

Estimation of Organizational Competitiveness by a Hybrid of One-Dimensional Convolutional Neural Networks and Self-Organizing Maps Using Physiological Signals for Emotional Analysis of Employees

Towards latent space based manipulation of elastic rods using autoencoder models and robust centerline extractions

Tracking Emotions: Intrinsic Motivation Grounded on Multi-Level Prediction Error Dynamics


pycorrector is a toolkit for text error correction. 文本纠错，实现了Kenlm，T5，MacBERT，ChatGLM3，Qwen2.5等模型应用在纠错场景，开箱即用。

Revisiting Pre-Trained Models for Chinese Natural Language Processing

Neural Abstractive Text Summarization with Sequence-to-Sequence Models

Neural Language Correction with Character-Based Attention

Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation

A Frustratingly Easy Plug-and-Play Detection-and-Reasoning Module for Chinese Spelling Check

TFC: Defending Against SMS Fraud via a Two-Stage Algorithm

Communications in computer and information science

UMRSpell: Unifying the Detection and Correction Parts of Pre-trained Models towards Chinese Missing, Redundant, and Spelling Correction

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction?


Generate embeddings from large-scale graph-structured data.

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

Representation Learning for Dynamic Graphs: A Survey

PyTorch-BigGraph: A Large-scale Graph Embedding System

Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network

Knowledge Graph Embeddings and Explainable AI

LibKGE - A knowledge graph embedding library for reproducible research

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING: SYSTEM DEMONSTRATIONS

TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation

Modern Baselines for SPARQL Semantic Parsing

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

On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods

Cleora: A Simple, Strong and Scalable Graph Embedding Scheme


Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

Universal Differential Equations for Scientific Machine Learning

On Neural Differential Equations

Julia language in machine learning: Algorithms, applications, and open issues

An examination of school reopening strategies during the SARS-CoV-2 pandemic

medRxiv : the preprint server for health sciences

D-ꞵ-hydroxybutyrate stabilizes hippocampal CA3-CA1 circuit during acute insulin resistance

bioRxiv : the preprint server for biology

Bifurcation analysis of Bogdanov-Takens bifurcations in delay differential equations


MicroPython libraries and examples that work out of the box on Pycom's IoT modules

Decentralized spectrum learning for radio collision mitigation in ultra-dense IoT networks: LoRaWAN case study and experiments

Decentralized Spectrum Learning for IoT Wireless Networks Collision Mitigation

Democratization of PV Micro-Generation System Monitoring Based on Narrowband-IoT

Modelling of the packet delivery rate in an actual LoRaWAN network


Scrape Twitter for Tweets

Comparing News Articles and Tweets About COVID-19 in Brazil: Sentiment Analysis and Topic Modeling Approach

Tweets Responding to the Indonesian Government’s Handling of COVID-19: Sentiment Analysis Using SVM with Normalized Poly Kernel

Journal of Information Systems Engineering and Business Intelligence

Global Sentiment Analysis Of COVID-19 Tweets Over Time

Controversy around climate change reports: a case study of Twitter responses to the 2019 IPCC report on land

Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning

Gender Prediction in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System

Evaluating Geo-Tagged Twitter Data to Analyze Tourist Flows in Styria, Austria

ISPRS International Journal of Geo-Information

Role of Artificial Intelligence in Detection of Hateful Speech for Hinglish Data on Social Media

Adapting recurrent neural networks for classifying public discourse on COVID-19 symptoms in Twitter content

An easy numeric data augmentation method for early-stage COVID-19 tweets exploration of participatory dynamics of public attention and news coverage


Super easy library for BERT based NLP models

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

RoBERTa: A Robustly Optimized BERT Pretraining Approach

HuggingFace's Transformers: State-of-the-art Natural Language Processing

XLNet: Generalized Autoregressive Pretraining for Language Understanding

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

Exploring Transformer Text Generation for Medical Dataset Augmentation

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

The Evolution of Language Models Applied to Emotion Analysis of Arabic Tweets

Exploring Automatic Short Answer Grading as a Tool to Assist in Human Rating

Legal Search in Case Law and Statute Law

Privacy Policies Across the Ages: Content and Readability of Privacy Policies 1996--2021


CPU and GPU-accelerated Machine Learning Library

Fast Differentially Private Matrix Factorization

Parallelizing Word2Vec in Shared and Distributed Memory

SAME but Different: Fast and High-Quality Gibbs Parameter Estimation

Stochastic Gradient Descent on Highly-Parallel Architectures

Replica-exchange Nosé-Hoover dynamics for Bayesian learning on large datasets


The library for web and native user interfaces.

Identifying Experts in Software Libraries and Frameworks among GitHub Users

COMPARISON OF FRONT-END FRAMEWORKS FOR WEB APPLICATIONS DEVELOPMENT

Extending the Nested Model for User-Centric XAI: A Design Study on GNN-based Drug Repurposing

IEEE transactions on visualization and computer graphics

Don't Disturb Me: Challenges of Interacting with SoftwareBots on Open Source Software Projects

Automatic whole cell organelle segmentation in volumetric electron microscopy

Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases

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

Beyond Textual Issues: Understanding the Usage and Impact of GitHub Reactions

Interactive Visual Pattern Search on Graph Data via Graph Representation Learning

Reinforcement Learning Tutor Better Supported Lower Performers in a Math Task


Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning

A Generalist Agent

Leveraging Procedural Generation to Benchmark Reinforcement Learning

Multi-Task Reinforcement Learning with Context-based Representations

Reinforcement Learning with Action-Free Pre-Training from Videos

Conservative Data Sharing for Multi-Task Offline Reinforcement Learning

Meta-learning curiosity algorithms

How to Leverage Unlabeled Data in Offline Reinforcement Learning

Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments

Deep Reinforcement Learning


Therapeutics Commons (TDC-2): Multimodal Foundation for Therapeutic Science

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Efficient Evolutionary Search Over Chemical Space with Large Language Models

TDC-2: Multimodal Foundation for Therapeutic Science


Web application fuzzer

EWVHunter: Grey-Box Fuzzing with Knowledge Guide on Embedded Web Front-Ends

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

Fuzzing Technique in Web Applications and Beyond

Practical Security Testing Of Electronic Commerce Web Applications

International journal of advanced networking and applications

Open Source Solutions for Vulnerability Assessment: A Comparative Analysis

A Formal Approach to Exploiting Multi-Stage Attacks based on File-System Vulnerabilities of Web Applications (Extended Version).


Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

The citation advantage of linking publications to research data

Analyzing the hate and counter speech accounts on Twitter

Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation

Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning

pysentimiento: A Python Toolkit for Opinion Mining and Social NLP tasks

Bias of AI-Generated Content: An Examination of News Produced by Large Language Models

Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation

Fact-driven Logical Reasoning.

A Hybrid Framework Using PCA, EMD and LSTM Methods for Stock Market Price Prediction with Sentiment Analysis

A Comprehensive Survey on Process-Oriented Automatic Text Summarization
  with Exploration of LLM-Based Methods


YOU SHALL NOT COMPUTE on my Data: Access Policies for Privacy-Preserving Data Marketplaces and an Implementation for a Distributed Market using MPC

BISON: Blind Identification with Stateless scOped pseudoNyms

TreeTracker Join: Turning the Tide When a Tuple Fails to Join

Automated Identification of Performance Changes at Code Level

International Conference on Software Quality, Reliability and Security


To speedup and simplify image labeling/ annotation process with multiple supported formats.

A Deep Learning Method for the Impact Damage Segmentation of Curve-Shaped CFRP Specimens Inspected by Infrared Thermography

Literature Review on Ship Localization, Classification, and Detection Methods Based on Optical Sensors and Neural Networks

t-EVA: Time-Efficient t-SNE Video Annotation

Teaching Computer Vision for Ecology


EvoSuite - automated generation of JUnit test suites for Java classes

Automated Test Case Generation as a Many-Objective Optimisation Problem with Dynamic Selection of the Targets

IEEE Transactions on Software Engineering

RESTful API Automated Test Case Generation

Test smells 20 years later: detectability, validity, and reliability

Defect Prediction Guided Search-Based Software Testing

International Conference on Automated Software Engineering

An Experimental Assessment of Using Theoretical Defect Predictors to Guide Search-Based Software Testing

Using Static Information of Programs to Partition the Input Domain in Search-based Test Data Generation

Journal of Information Systems and Telecommunication (JIST)

How good does a Defect Predictor need to be to guide Search-Based Software Testing?

Test-based patch clustering for automatically-generated patches assessment

Bet and Run for Test Case Generation


Fast Python Collaborative Filtering for Implicit Feedback Datasets

Surprise: A Python library for recommender systems

Evaluating Stochastic Rankings with Expected Exposure

International Conference on Information and Knowledge Management

LensKit for Python: Next-Generation Software for Recommender Systems Experiments

Two-sided fairness in rankings via Lorenz dominance

Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness

Reinforcement Routing on Proximity Graph for Efficient Recommendation

Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features.

Fast online ranking with fairness of exposure

Optimizing generalized Gini indices for fairness in rankings

Personalizing Similar Product Recommendations in Fashion E-commerce


:christmas_tree:Visualization and annotation of phylogenetic trees

HypoMap—a unified single-cell gene expression atlas of the murine hypothalamus

Phylogenomic analysis reveals persistence of gonococcal strains with reduced-susceptibility to extended-spectrum cephalosporins and mosaic penA-34

Genomic epidemiology of human adenovirus F40 and F41 in coastal Kenya: A retrospective hospital-based surveillance study (2013–2022)

Subgenome dominance shapes novel gene evolution in the decaploid pitcher plant Nepenthes gracilis

Genomic epidemiology of the rotavirus G2P[4] strains in coastal Kenya pre- and post-rotavirus vaccine introduction, 2012–8

The cytidine deaminase APOBEC3G drives cancer mutagenesis and clonal evolution in bladder cancer


A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites

Highlighting the Safety Concerns of Deploying LLMs/VLMs in Robotics

Developmental Scaffolding with Large Language Models


Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML

StarCoder 2 and The Stack v2: The Next Generation

Trafilatura: A Web Scraping Library and Command-Line Tool for Text Discovery and Extraction

Meeting of the Association for Computational Linguistics

OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text

From Web Crawl to Clean Register-Annotated Corpora

DataScience-Polimi at SemEval-2022 Task 8: Stacking Language Models to Predict News Article Similarity

Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)

Synthetic Data Generation for Multilingual Domain-Adaptable Question Answering Systems

European Association for Machine Translation Conferences/Workshops

A Reproducible IT-Blog Corpus

Verifiable Generation with Subsentence-Level Fine-Grained Citations

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

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


Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

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

YOLO9000: Better, Faster, Stronger

NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles

Tracking individual honeybees among wildflower clusters with computer vision-facilitated pollinator monitoring

The Art and Practice of Data Science Pipelines: A Comprehensive Study of
  Data Science Pipelines In Theory, In-The-Small, and In-The-Large

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

Detection of Waste Containers Using Computer Vision

A Framework of Transfer Learning in Object Detection for Embedded Systems

Research on Vehicle Trajectory Prediction and Warning Based on Mixed Neural Networks

Super-Resolved Recognition of License Plate Characters


This program converts MATLAB®/Octave figures to TikZ/pgfplots figures for smooth integration into LaTeX.

Photon Counting Histogram Expectation Maximization Algorithm for Characterization of Deep Sub-Electron Read Noise Sensors

On the optimal measurement of conversion gain in the presence of dark noise

Journal of the Optical Society of America. A, Optics, image science, and vision

Experimental Verification of PCH-EM Algorithm for Characterizing DSERN Image Sensors


Tools for handling Unique Molecular Identifiers in NGS data sets

UMI-tools: modeling sequencing errors in Unique Molecular Identifiers to improve quantification accuracy

Non-invasive early detection of cancer four years before conventional diagnosis using a blood test

Systematic identification of factors mediating accelerated mRNA degradation in response to changes in environmental nitrogen

Functional inference of gene regulation using single-cell multi-omics

Bioinformatics Analysis for Circulating Cell-Free DNA in Cancer

Targeted Informatics for Optimal Detection, Characterization, and Quantification of FLT3 Internal Tandem Duplications Across Multiple Next-Generation Sequencing Platforms

The Journal of molecular diagnostics : JMD

Algorithms for efficiently collapsing reads with Unique Molecular Identifiers

Global approaches for profiling transcription initiation

Mouse Single Islet β Cell Transcriptomics Reveal Sexually Dimorphic Transcriptomes and Type 2 Diabetes Genes

Genomic stability of self-inactivating rabies


A Simulation Environment to train Robots in Large Realistic Interactive Scenes

iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes

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

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

A Survey on Human-aware Robot Navigation


Copy number variant detection from targeted DNA sequencing

CNVkit: Genome-Wide Copy Number Detection and Visualization from Targeted DNA Sequencing

Exome sequencing of desmoplastic melanoma identifies recurrent NFKBIE promoter mutations and diverse activating mutations in the MAPK pathway

Histological Transformation and Progression in Follicular Lymphoma: A Clonal Evolution Study

Circulating tumor DNA in patients with colorectal adenomas: assessment of detectability and genetic heterogeneity

The contribution of hereditary cancer-related germline mutations to lung cancer susceptibility

Analysis pipelines for cancer genome sequencing in mice

The Genomic Characteristics of ALK Fusion Positive Tumors in Chinese NSCLC Patients

CNVkit: Copy number detection and visualization for targeted sequencing using off-target reads

ctDNA Concentration, MIKI67 Mutations and Hyper-Progressive Disease Related Gene Mutations Are Prognostic Markers for Camrelizumab and Apatinib Combined Multiline Treatment in Advanced NSCLC


PicoRV32 - A Size-Optimized RISC-V CPU

ISA Extensions for Finite Field Arithmetic

IACR Transactions on Cryptographic Hardware and Embedded Systems

Exploring eFPGA-based Redaction for IP Protection

MIRACLE: MIcRo-ArChitectural Leakage Evaluation.

BRISC-V: An Open-Source Architecture Design Space Exploration Toolbox

Symposium on Field Programmable Gate Arrays

JuxtaPiton: Enabling Heterogeneous-ISA Research with RISC-V and SPARC FPGA Soft-cores

IBTIDA: Fully open-source ASIC implementation of Chisel-generated System on a Chip

A Semi-Formal Verification Methodology for Efficient Configuration Coverage of Highly Configurable Digital Designs

IOb-Cache: A High-Performance Configurable Open-Source Cache

Design and Evaluation Frameworks for Advanced RISC-based Ternary Processor

eLIMInate: a Leakage-focused ISE for Masked Implementation


Stubby is the name given to a mode of using getdns which enables it to act as a local DNS Privacy stub resolver (using DNS-over-TLS).

Padding Ain't Enough: Assessing the Privacy Guarantees of Encrypted DNS

Comparing the Effects of DNS, DoT, and DoH on Web Performance

WEB CONFERENCE 2020: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2020)

Can Encrypted DNS Be Fast?

Passive and Active Network Measurement Conference


A transparent and secure way to look up public keys.

Automatic Detection of Fake Key Attacks in Secure Messaging

SoK: Why Johnny Can't Fix PGP Standardization

Proceedings of the 15th International Conference on Availability, Reliability and Security

Authenticated Key-Value Stores with Hardware Enclaves


A massively spiffy yet delicately unobtrusive compression library.

MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models

Moving analytical ultracentrifugation software to a good manufacturing practices (GMP) environment

FastRemap: A Tool for Quickly Remapping Reads between Genome Assemblies

Binary Diffing as a Network Alignment Problem via Belief Propagation

EFloat: Entropy-coded Floating Point Format for Deep Learning.

Hierarchical Lowrank Arithmetic with Binary Compression

The Tiny Time-series Transformer: Low-latency High-throughput Classification of Astronomical Transients using Deep Model Compression

Prompt Fuzzing for Fuzz Driver Generation

Probing Language Models for Pre-training Data Detection

EFloat: Entropy-coded Floating Point Format for Compressing Vector Embedding Models


TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems

BARS: Towards Open Benchmarking for Recommender Systems

Improving Training Stability for Multitask Ranking Models in Recommender Systems

Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems


This project hosts security advisories and their accompanying proof-of-concepts related to research conducted at Google which impact non-Google owned code.

KernJC: Automated Vulnerable Environment Generation for Linux Kernel
  Vulnerabilities


Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

RMPE: Regional Multi-person Pose Estimation

AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time

Peeking into occluded joints: A novel framework for crowd pose estimation

MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation

Human Pose Estimation for Real-World Crowded Scenarios

Can WiFi Estimate Person Pose?

HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media

Generalizable Multi-Camera 3D Pedestrian Detection

Vision-Based Human Pose Estimation via Deep Learning: A Survey

IEEE Transactions on Human-Machine Systems

Toward Modeling Psychomotor Performance in Karate Combats Using Computer Vision Pose Estimation


FinGPT: Open-Source Financial Large Language Models!  Revolutionize     We release the trained model on HuggingFace.

Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models

Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models

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

FinGPT: Democratizing Internet-scale Data for Financial Large Language Models

FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets

A Survey of Large Language Models in Finance (FinLLMs)

AviationGPT: A Large Language Model for the Aviation Domain


An open and flexible framework for developing enclave applications

Serdab: An IoT Framework for Partitioning Neural Networks Computation across Multiple Enclaves

undeSErVed trust: Exploiting Permutation-Agnostic Remote Attestation

SoK: A Systematic Review of TEE Usage for Developing Trusted Applications

Proceedings of the 18th International Conference on Availability, Reliability and Security

Accelerating 2PC-based ML with Limited Trusted Hardware

Towards Efficiently Establishing Mutual Distrust Between Host Application and Enclave for SGX

Nitriding: A tool kit for building scalable, networked, secure enclaves


Read-only Git mirror of the Mercurial gecko repositories at https://hg.mozilla.org. How to contribute: https://firefox-source-docs.mozilla.org/contributing/contribution_quickref.html

Explainable Software Bot Contributions: Case Study of Automated Bug Fixes

International Workshop on Bots in Software Engineering

20-MAD-20 Years of Issues and Commits of Mozilla and Apache Development

Characterizing and Detecting Configuration Compatibility Issues in Android Apps

Characterizing Buffer Overflow Vulnerabilities in Large C/C++ Projects

Exposing Bugs in JavaScript Engines through Test Transplantation and Differential Testing

Friend or Foe Inside? Exploring In-Process Isolation to Maintain Memory Safety for Unsafe Rust


Open-Source Neural Machine Translation in Tensorflow

OpenNMT: Open-Source Toolkit for Neural Machine Translation

Six Challenges for Neural Machine Translation

Edinburgh Neural Machine Translation Systems for WMT 16

Nematus: a Toolkit for Neural Machine Translation

Linguistic Input Features Improve Neural Machine Translation

Toward Multilingual Neural Machine Translation with Universal Encoder and Decoder

Revisiting Low-Resource Neural Machine Translation: A Case Study

The IIT Bombay English-Hindi Parallel Corpus

Exploiting Cross-Sentence Context for Neural Machine Translation

A Challenge Set Approach to Evaluating Machine Translation


A 2D chart library for Java applications (JavaFX, Swing or server-side).

ChatUniTest: A Framework for LLM-Based Test Generation

A comprehensive study of pseudo-tested methods

Sentinel: A Hyper-Heuristic for the Generation of Mutant Reduction Strategies

IEEE Transactions on Software Engineering

Active Learning of Discriminative Subgraph Patterns for API Misuse Detection

Using mutation testing to measure behavioural test diversity

International Conference on Software Testing, Verification and Validation Workshops

Predictive Monitoring against Pattern Regular Languages

Contextual Predictive Mutation Testing


⛔ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Encoding high-cardinality string categorical variables

IEEE Transactions on Knowledge and Data Engineering

Non-Euclidean Universal Approximation

Versatile Verification of Tree Ensembles

Learning Sub-Patterns in Piecewise Continuous Functions

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting


High-Performance NoSQL database and RESTful web services to access to most relevant biological data

Babelomics 5.0: functional interpretation for new generations of genomic data

Assessing the impact of mutations found in next generation sequencing data over human signaling pathways

Real-world clinical and molecular management of 50 prospective patients with microphthalmia, anophthalmia and/or ocular coloboma

HGVA: the Human Genome Variation Archive

PyCellBase, an efficient python package for easy retrieval of biological data from heterogeneous sources

Relationships between design problem agglomerations and concerns having types and domains of software as transverse dimensions

Journal of the Brazilian Computer Society


KenLM: Faster and Smaller Language Model Queries

BLiMP: The Benchmark of Linguistic Minimal Pairs for English

An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation

言語処理学会年次大会発表論文集(Web)

Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade

Uncertainty-Aware Curriculum Learning for Neural Machine Translation

Meeting of the Association for Computational Linguistics

Natural Language Statistical Features of LSTM-Generated Texts

IEEE transactions on neural networks and learning systems

On the Relation between Linguistic Typology and (Limitations of) Multilingual Language Modeling

Empirical Methods in Natural Language Processing

Lower Perplexity is Not Always Human-Like

Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level Prediction

Transactions of the Association for Computational Linguistics

EVA2.0: Investigating Open-domain Chinese Dialogue Systems with Large-scale Pre-training

Extracting Parallel Sentences with Bidirectional Recurrent Neural Networks to Improve Machine Translation


A framework for large scale recommendation algorithms.

Wide & Deep Learning for Recommender Systems

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

Learning deep structured semantic models for web search using clickthrough data

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

Deep & Cross Network for Ad Click Predictions

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

AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19)

Deep Learning Recommendation Model for Personalization and Recommendation Systems

MIND: A Large-scale Dataset for News Recommendation

Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Behavior Sequence Transformer for E-commerce Recommendation in Alibaba


Apache Commons Codec

Extracting Concise Bug-Fixing Patches from Human-Written Patches in Version Control Systems

A comprehensive study of pseudo-tested methods

Sentinel: A Hyper-Heuristic for the Generation of Mutant Reduction Strategies

DSpot: Test Amplification for Automatic Assessment of Computational Diversity

Predicting Crash Fault Residence via Simplified Deep Forest Based on A Reduced Feature Set

Automatic Diversity in the Software Supply Chain


eXtended Keccak Code Package

NTT Multiplication for NTT-unfriendly Rings.

IACR Transactions on Cryptographic Hardware and Embedded Systems

Compact Dilithium Implementations on Cortex-M3 and Cortex-M4

Lightweight AEAD and Hashing using the Sparkle Permutation Family

IACR Transactions on Symmetric Cryptology

Standard Lattice-Based Key Encapsulation on Embedded Devices

Rosita: Towards Automatic Elimination of Power-Analysis Leakage in Ciphers

Proceedings 2021 Network and Distributed System Security Symposium

Single-Trace Attacks on Keccak

Masta: An HE-Friendly Cipher Using Modular Arithmetic

Multi-moduli NTTs for Saber on Cortex-M3 and Cortex-M4

Rosita++: Automatic Higher-Order Leakage Elimination from Cryptographic Code

Agatha: Smart Contract for DNN Computation


Pull current and historical baseball statistics using Python (Statcast, Baseball Reference, FanGraphs)

Exploring and Selecting Features to Predict the Next Outcomes of MLB Games

Bayesball: Bayesian Integration in Professional Baseball Batters

Learning To Describe Player Form in The MLB


A Deep Learning based project for colorizing and restoring old images (and video!)

Self-Attention Generative Adversarial Networks

Instance-aware Image Colorization

A Survey of Deep Learning for Scientific Discovery

Towards Vivid and Diverse Image Colorization with Generative Color Prior

SCGAN: Saliency Map-Guided Colorization With Generative Adversarial Network

IEEE Transactions on Circuits and Systems for Video Technology

Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization

BigColor: Colorization using a Generative Color Prior for Natural Images

Time-Travel Rephotography

DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders

VCGAN: Video Colorization With Hybrid Generative Adversarial Network


Aave Protocol V2

The Blockchain Oracle Problem in Decentralized Finance—A Multivocal Approach

Formal Analysis of Lending Pools in Decentralized Finance

DeFi Risk Transfer: Towards A Fully Decentralized Insurance Protocol

Safeguarding DeFi Smart Contracts against Oracle Deviations

Efficient Liquidity Providing via Margin Liquidity


An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

A Survey of Large Language Models

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

PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback

QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models

LLMCad: Fast and Scalable On-device Large Language Model Inference

FwdLLM: Efficient FedLLM using Forward Gradient

Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient
  LLMs Under Compression

PrivateLoRA For Efficient Privacy Preserving LLM

A Comprehensive Evaluation of Quantization Strategies for Large Language
  Models

How Does Calibration Data Affect the Post-training Pruning and Quantization of Large Language Models?


CNCF Serverless WG

Status of Serverless Computing and Function-as-a-Service(FaaS) in Industry and Research

AI-based Resource Allocation: Reinforcement Learning for Adaptive Auto-scaling in Serverless Environments

Understanding Open Source Serverless Platforms: Design Considerations and Performance

FedLess: Secure and Scalable Federated Learning Using Serverless Computing

Characterizing commodity serverless computing platforms

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

Kotless: a Serverless Framework for Kotlin

FedLesScan: Mitigating Stragglers in Serverless Federated Learning

Hybrid Computing for Interactive Datacenter Applications

DataFlower: Exploiting the Data-flow Paradigm for Serverless Workflow Orchestration


An R package for performing patient level prediction  in an observational database in the OMOP Common Data Model.

OMOP CDM Can Facilitate Data-Driven Studies for Cancer Prediction: A Systematic Review

International journal of molecular sciences

Development and validation of a prognostic model predicting symptomatic hemorrhagic transformation in acute ischemic stroke at scale in the OHDSI network

Predicting Outcomes in Patients With Diffuse Large B-Cell Lymphoma Treated With Standard of Care

Comparing penalization methods for linear models on large observational health data

Journal of the American Medical Informatics Association

Generic medical concept embedding and time decay for diverse patient outcome prediction tasks


Hidden Markov Models in Python, with scikit-learn like API

Endogenous variation in ventromedial prefrontal cortex state dynamics during naturalistic viewing reflects affective experience

A parsimonious description of global functional brain organization in three spatiotemporal patterns

WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans

Multiple perspectives HMM-based feature engineering for credit card fraud detection

Improving condition- and environment-invariant place recognition with semantic place categorization

Implementation and Assessment of an Intelligent Motor Tele-Rehabilitation Platform

Learning, Improving, and Generalizing Motor Skills for the Peg-in-Hole Tasks Based on Imitation Learning and Self-Learning

Fake News Detection using Stance Classification: A Survey

Recovering from External Disturbances in Online Manipulation through State-Dependent Revertive Recovery Policies

A Hybrid Hidden Markov Model for Pipeline Leakage Detection


SERV - The SErial RISC-V CPU

Don't CWEAT It

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

Design and Implementation of a Secure RISC-V Microprocessor

NSF Integrated Circuit Research, Education and Workforce Development Workshop Final Report


Ristretto: Caffe-based approximation of convolutional neural networks.

Hardware-oriented Approximation of Convolutional Neural Networks

Ristretto: A Framework for Empirical Study of Resource-Efficient Inference in Convolutional Neural Networks

Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks

Learning Sparse Low-Precision Neural Networks With Learnable Regularization

SqueezeJet: High-Level Synthesis Accelerator Design for Deep Convolutional Neural Networks


STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.

What shall we do with an hour of data? Speech recognition for the un- and under-served languages of Common Voice

The Makerere Radio Speech Corpus: A Luganda Radio Corpus for Automatic Speech Recognition


Official repository of the AWS EC2 FPGA Hardware and Software Development Kit

StealthDB: a Scalable Encrypted Database with Full SQL Query Support

Security of Cloud FPGAs: A Survey

ShEF: shielded enclaves for cloud FPGAs

Denial-of-Service on FPGA-based Cloud Infrastructures — Attack and Defense

MeetGo: A Trusted Execution Environment for Remote Applications on FPGA

Revisiting the High-Performance Reconfigurable Computing for Future Datacenters

VITI: A Tiny Self-Calibrating Sensor for Power-Variation Measurement in FPGAs

Secret Sharing MPC on FPGAs in the Datacenter

Making Search Engines Faster by Lowering the Cost of Querying Business Rules Through FPGAs

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

SoK: On the Security Challenges and Risks of Multi-Tenant FPGAs in the Cloud


Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

AC-SUM-GAN: Connecting Actor-Critic and Generative Adversarial Networks for Unsupervised Video Summarization

Playing Atari with Hybrid Quantum-Classical Reinforcement Learning

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

Reinforcement Learning for Generating Secure Configurations


A library for graph deep learning research

Explainability in Graph Neural Networks: A Taxonomic Survey

On Explainability of Graph Neural Networks via Subgraph Explorations

Self-Supervised Learning of Graph Neural Networks: A Unified Review

Explainable AI Methods - A Brief Overview

Spherical Message Passing for 3D Graph Networks

3D Infomax improves GNNs for Molecular Property Prediction

Trustworthy AI: A Computational Perspective

Forces are not Enough: Benchmark and Critical Evaluation for Machine Learning Force Fields with Molecular Simulations

DIG: A Turnkey Library for Diving into Graph Deep Learning Research

ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs


ONNXMLTools enables conversion of models to ONNX

Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese

End-to-end Optimization of Machine Learning Prediction Queries

Proceedings of the 2022 International Conference on Management of Data


The mqtt.org website

A Performance Analysis of Internet of Things Networking Protocols: Evaluating MQTT, CoAP, OPC UA

An Overview on Push-Based Communication Models for Information-Centric Networking

IoT System for the Continuous Electrical and Environmental Monitoring into Mexican Social Housing Evaluated under Tropical Climate Conditions

Gateway Controller with Deep Sensing: Learning to be Autonomic in Intelligent Internet of Things

IoT-F2CDM-LB: IoT Based Fog-to-Cloud and Data-in-Motion Architectures with Load Balancing

An Elasticity Framework for Distributed Message Queuing Telemetry Transport Brokers

VNU Journal of Science: Computer Science and Communication Engineering


Code for U.S. EPA’s Community Multiscale Air Quality Model (CMAQ) which helps in conducting air quality model simulations

On the implications of aerosol liquid water and phase separation for organic aerosol mass

Carolina Digital Repository (University of North Carolina at Chapel Hill)

The Community Multiscale Air Quality (CMAQ) model versions 5.3 and 5.3.1: system updates and evaluation

Semivolatile POA and parameterized total combustion SOA in CMAQv5.2: impacts on source strength and partitioning

Secondary organic aerosol association with cardiorespiratory disease mortality in the United States

Impacts of different characterizations of large-scale background on simulated regional-scale ozone over the continental United States

Ensemble forecasts of air quality in eastern China – Part 1: Model description and implementation of the MarcoPolo–Panda prediction system, version 1

Drivers of Increasing Ozone during the Two Phases of Clean Air Actions in China 2013-2020

Ozone affected by a succession of four landfall typhoons in the Yangtze River Delta, China: major processes and health impacts

The role of emission reductions and the meteorological situation for air quality improvements during the COVID-19 lockdown period in central Europe

Improving the representation of HONO chemistry in CMAQ and examining its impact on haze over China


High-order Lagrangian Hydrodynamics Miniapp

MFEM: a modular finite element methods library

Computers and Mathematics with Applications

Reduced order models for Lagrangian hydrodynamics

Non-Conforming Mesh Refinement for High-Order Finite Elements

Local Lagrangian reduced-order modeling for the Rayleigh-Taylor instability by solution manifold decomposition

GPU Algorithms for Efficient Exascale Discretizations

A quadratic programming flux correction method for high-order DG discretizations of SN transport

Matrix-free approaches for GPU acceleration of a high-order finite element hydrodynamics application using MFEM, Umpire, and RAJA

High-performance finite elements with MFEM

Weak Boundary Conditions for Lagrangian Shock Hydrodynamics: A High-Order Finite Element Implementation on Curved Boundaries

A High-Order Shifted Interface Method for Lagrangian Shock Hydrodynamics


An open-source HEVC encoder

Kvazaar 2.0: Fast and Efficient Open-Source HEVC Inter Encoder

MMSYS'20: PROCEEDINGS OF THE 2020 MULTIMEDIA SYSTEMS CONFERENCE

Privacy Protection in Real Time HEVC Standard Using Chaotic System

A Survey on Energy Consumption and Environmental Impact of Video Streaming

Visual saliency guided perceptual adaptive quantization based on HEVC intra-coding for planetary images

Encoder-Decoder Based LSTM Model to Advance User QoE in 360-Degree Video

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

Rate-Distortion-Complexity Optimized Coding Scheme for Kvazaar HEVC Intra Encoder


An open-source platform for Visual AI.

AI2-THOR: An Interactive 3D Environment for Visual AI

RoboTHOR: An Open Simulation-to-Real Embodied AI Platform

Multimodality in Meta-Learning: A Comprehensive Survey

Shaping embodied agent behavior with activity-context priors from egocentric video

What do navigation agents learn about their environment?


Trusted side of the TEE

On the Performance of ARM TrustZone (Practical Experience Report)

Minimum viable device drivers for ARM trustzone

Developing Secure Services for IoT with OP-TEE: A First Look at Performance and Usability

TZ4Fabric: Executing Smart Contracts with ARM TrustZone

Symposium on Reliable Distributed Systems

Where's Crypto?: Automated Identification and Classification of Proprietary Cryptographic Primitives in Binary Code

End-to-End Security for Distributed Event-driven Enclave Applications on Heterogeneous TEEs

Faulty Point Unit: ABI Poisoning Attacks on Trusted Execution Environments


Self describing hashes - for future proofing

Astraea: A Decentralized Blockchain Oracle

COVID‐19 and future pandemics: A blockchain‐based privacy‐aware secure borderless travel solution from electronic health records

Unified InterPlanetary Smart Parking Network for Maximum End-User Flexibility


A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Improved Techniques for Training GANs

On the Effectiveness of Least Squares Generative Adversarial Networks

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro

StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

Compressed Sensing using Generative Models

VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning

GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium

GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models

Conference on Computer and Communications Security


The NASA Tensegrity Robotics Toolkit Simulator, a physics based simulator to research the design and control of tensegrity robots.

Simulating direct shear tests with the Bullet physics library: A validation study

Seeking Quality Diversity in Evolutionary Co-design of Morphology and Control of Soft Tensegrity Modular Robots

Proceedings of the Genetic and Evolutionary Computation Conference

A Recurrent Differentiable Engine for Modeling Tensegrity Robots Trainable with Low-Frequency Data

Real2Sim2Real Transfer for Control of Cable-driven Robots via a Differentiable Physics Engine


open Multi-View Stereo reconstruction library

Transformation-Grounded Image Generation Network for Novel 3D View Synthesis

Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking

Polarimetric Multi-View Inverse Rendering

Semantically Derived Geometric Constraints for MVS Reconstruction of Textureless Areas

Multi view stereo with semantic priors

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

Moving Car Recognition and Removal for 3D Urban Modelling Using Oblique Images

Hyperspectral 3D Mapping of Underwater Environments

A Graph-Matching Approach for Cross-view Registration of Over-view 2 and Street-view based Point Clouds

Dense Semantic 3D Map Based Long-Term Visual Localization with Hybrid Features

Multi-tiling Neural Radiance Field (NeRF) -- Geometric Assessment on Large-scale Aerial Datasets


RESTler is the first stateful REST API fuzzing tool for automatically testing cloud services through their REST APIs and finding security and reliability bugs in these services.

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

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

Testing RESTful APIs: A Survey

Empirical Comparison of Black-box Test Case Generation Tools for RESTful APIs

Open Problems in Fuzzing RESTful APIs: A Comparison of Tools

REST API Fuzzing by Coverage Level Guided Blackbox Testing

AUTOMATIC DETECTION OF ACCESS CONTROL VULNERABILITIES VIA API SPECIFICATION PROCESSING


Open Source Smart Meter with focus on privacy - you remain the master of your data.


Deep Learning framework for Julia

Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server

nuts-flow/ml: data pre-processing for deep learning

Relaxed Earth Mover's Distances for Chain- and Tree-connected Spaces and their use as a Loss Function in Deep Learning

Machine learning approach to literature mining for the genetics of complex diseases

Database : the journal of biological databases and curation


This repostory contains software for the virtual track of the DARPA SubT Challenge. Within this repository you will find Gazebo simulation assets, ROS interfaces, support scripts and plugins, and documentation needed to compete in the SubT Virtual Challenge.

CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge

Graph-based Topological Exploration Planning in Large-scale 3D Environments

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

MARSIM: A Light-Weight Point-Realistic Simulator for LiDAR-Based UAVs

InTEn-LOAM: Intensity and Temporal Enhanced LiDAR Odometry and Mapping


NGBoost: Natural Gradient Boosting for Probabilistic Prediction

The impact of imputation quality on machine learning classifiers for datasets with missing values

mirkwood: Fast and Accurate SED Modeling Using Machine Learning

Multivariate Probabilistic Regression with Natural Gradient Boosting

On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization

Relationship between Successive Flares in the Same Active Region and SHARP Parameters

TRIAGE: Characterizing and auditing training data for improved regression


Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系，成为中文AIGC和认知智能的基础设施。

Fengshenbang 1.0: Being the Foundation of Chinese Cognitive Intelligence

DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services

TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT

Edit Everything: A Text-Guided Generative System for Images Editing

Evaluating Large Language Models for Radiology Natural Language Processing

Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective

ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-training

FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models

A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law

TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning


Enterprise Stream Process Engine

BigDataBench: A Scalable and Unified Big Data and AI Benchmark Suite

BigDataBench: A Dwarf-based Big Data and AI Benchmark Suite.

AccuracyTrader: Accuracy-aware Approximate Processing for Low Tail Latency and High Result Accuracy in Cloud Online Services

High Performance Processing of Streaming Data

International Conference on High Performance Computing


Typed interactions with the GitHub API v3

VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection

Software Engineering for Quantum Programming: How Far Are We?

SourceFinder: Finding Malware Source-Code from Publicly Available Repositories

Behavior trees in action: a study of robotics applications

Understanding Performance Problems in Deep Learning Systems

Behavior Trees and State Machines in Robotics Applications

DeepIaC: Deep Learning-Based Linguistic Anti-pattern Detection in IaC

An efficient and scalable search engine for models

Replication package for article: Behavior Trees in Action: A Study of Robotics Applications

Status, identity, and language: A study of issue discussions in GitHub


Python API for Emma's Markov Model Algorithms

Kinetic Distance and Kinetic Maps from Molecular Dynamics Simulation

Variational Selection of Features for Molecular Kinetics

Communication: Consistent interpretation of molecular simulation kinetics using Markov state models biased with external information


The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Momentum Contrast for Unsupervised Visual Representation Learning

A Metric Learning Reality Check

PyTorch Metric Learning

metric-learn: Metric Learning Algorithms in Python

SL-DML: Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition

Papillary Thyroid Carcinoma Landscape and Its Immunological Link With Hashimoto Thyroiditis at Single-Cell Resolution

Frontiers in cell and developmental biology

Supervised Metric Learning for Music Structure Features

Aurora Image Classification with Deep Metric Learning

Hierarchical Average Precision Training for Pertinent Image Retrieval

A framework to enhance generalization of deep metric learning methods using general discriminative feature learning and class adversarial neural networks


Measure and Optimize Web Performance

EYEORG: A Platform For Crowdsourcing Web Quality Of Experience Measurements

PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON EMERGING NETWORKING EXPERIMENTS AND TECHNOLOGIES (CONEXT'16)

A Performance Perspective on Web Optimized Protocol Stacks: TCP+TLS+HTTP/2 vs. QUIC

Proceedings of the Applied Networking Research Workshop

Perceiving QUIC: Do Users Notice or Even Care?

Is the Web ready for HTTP/2 Server Push?

Conference on Emerging Network Experiment and Technology

ERRANT: Realistic emulation of radio access networks

Sharding and HTTP/2 connection reuse revisited

PTPerf: On the performance evaluation of Tor Pluggable Transports

Tweaking Metasploit to Evade Encrypted C2 Traffic Detection


Scalable and user friendly neural :brain: forecasting algorithms.

DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks

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

N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting

Deep Learning for Time Series Forecasting: Tutorial and Literature Survey

Chronos: Learning the Language of Time Series


BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

Revisiting Query Performance in GPU Database Systems

Accelerating Machine Learning Queries with Linear Algebra Query Processing

rNdN: Fast Query Compilation for NVIDIA GPUs

ACM Transactions on Architecture and Code Optimization (TACO)


Dataflow compiler for QNN inference on FPGAs

hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices

A comprehensive review of Binary Neural Network

Real-time Artificial Intelligence for Accelerator Control: A Study at the Fermilab Booster

Memory-Efficient Dataflow Inference for Deep CNNs on FPGA

SAMO: Optimised Mapping of Convolutional Neural Networks to Streaming Architectures

A2Q: Accumulator-Aware Quantization with Guaranteed Overflow Avoidance

On the RTL Implementation of FINN Matrix Vector Compute Unit

Quantized Neural Networks for Low-Precision Accumulation with Guaranteed Overflow Avoidance

Tiny Classifier Circuits: Evolving Accelerators for Tabular Data


Google Brain AutoML

EfficientDet: Scalable and Efficient Object Detection

EfficientNetV2: Smaller Models and Faster Training

Weighted boxes fusion: Ensembling boxes from different object detection models

Symbolic Discovery of Optimization Algorithms

PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions

Robust and Accurate Object Detection via Adversarial Learning

Litter Detection with Deep Learning: A Comparative Study

Towards More Efficient EfficientDets and Real-Time Marine Debris Detection

Neural Architecture Search Survey: A Computer Vision Perspective

Scaling Laws for Hyperparameter Optimization


GBIF Integrated Publishing Toolkit (IPT)

MIReAD, a minimum information standard for reporting arthropod abundance data

A checklist recipe: making species data open and FAIR

An updated checklist of the Tenebrionidae sec. Bousquet et al. 2018 of the Algodones Dunes of California, with comments on checklist data practices

Occurrences of Threatened Species included in the Third Edition of the Red Data Book of the Komi Republic (Russia)

Underwater video and still‐image dataset of fishes and other aquatic animals in Lake Biwa, Japan, observed via carp‐mounted video loggers


An advanced SAT solver

cvc5: A Versatile and Industrial-Strength SMT Solver

Tools and Algorithms for the Construction and Analysis of Systems

Guiding High-Performance SAT Solvers with Unsat-Core Predictions

Design and Results of the Second International Competition on Computational Models of Argumentation

Manthan: A Data Driven Approach for Boolean Function Synthesis

Belief Propagation Neural Networks

Certifying Parity Reasoning Efficiently Using Pseudo-Boolean Proofs

Factoring semi-primes with (quantum) SAT-solvers

CVC4 at the SMT Competition 2018

Hidden in snow, revealed in thaw: Cold boot attacks revisited

Schur's theorem in integer lattices


library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization

A parallel global multiobjective framework for optimization: pagmo

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

Profiling the genome-wide landscape of tandem repeat expansions

Strategies for solving the Fermi-Hubbard model on near-term quantum computers

2SXPS: An Improved and Expanded Swift X-Ray Telescope Point-source Catalog

The Astrophysical Journal Supplement Series

XACC: A System-Level Software Infrastructure for Heterogeneous Quantum-Classical Computing

MADER: Trajectory Planner in Multi-Agent and Dynamic Environments

pyOptSparse: A Python framework for large-scale constrained nonlinear optimization of sparse systems

Multistart Methods for Quantum Approximate optimization

IEEE High Performance Extreme Computing Conference

Autonomous UAV Exploration of Dynamic Environments Via Incremental Sampling and Probabilistic Roadmap

International Conference on Robotics and Automation