Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.

A Survey on Data Selection for Language Models

The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Privacy Side Channels in Machine Learning Systems

MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal
  Dataset with One Trillion Tokens

Aloe: A Family of Fine-tuned Open Healthcare LLMs

The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources

Routoo: Learning to Route to Large Language Models Effectively


A PyTorch library and evaluation platform for end-to-end compression research

End-to-end Optimized Image Compression

Variational image compression with a scale hyperprior

Joint Autoregressive and Hierarchical Priors for Learned Image Compression

Deep Contextual Video Compression

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

ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding

Learned Image Compression with Mixed Transformer-CNN Architectures

EVC: Towards Real-Time Neural Image Compression with Mask Decay

Lossy Image Compression with Quantized Hierarchical VAEs

Recent Standard Development Activities on Video Coding for Machines


Robotiq packages (http://wiki.ros.org/robotiq)

RUR53: an unmanned ground vehicle for navigation, recognition, and manipulation

Egocentric Gesture Recognition Using 3D Convolutional Neural Networks for the Spatiotemporal Adaptation of Collaborative Robots


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


NeuralProphet: A simple forecasting package

Forecasting: theory and practice

NeuralProphet: Explainable Forecasting at Scale

AR-Net: A simple Auto-Regressive Neural Network for time-series

Boosted Embeddings for Time Series Forecasting


⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡

Efficient Streaming Language Models with Attention Sinks

Prune Once for All: Sparse Pre-Trained Language Models

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

Efficient LLM Inference on CPUs

Effective Quantization for Diffusion Models on CPUs

An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs

QuaLA-MiniLM: a Quantized Length Adaptive MiniLM

Fast DistilBERT on CPUs


A toolkit for orchestrating distributed systems at any scale. It includes primitives for node discovery, raft-based consensus, task scheduling and more.

DRAPS: Dynamic and Resource-Aware Placement Scheme for Docker Containers in a Heterogeneous Cluster

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

AVUBDI: A Versatile Usable Big Data Infrastructure and Its Monitoring Approaches for Process Industry

Multitenant Containers as a Service (CaaS) for Clouds and Edge Clouds

A Container Service Chain Placement Greedy Algorithm Based on Heuristic Information


Static Analyzer and Verifier

Template-Based Verification of Heap-Manipulating Programs

PROCEEDINGS OF THE 2018 18TH CONFERENCE ON FORMAL METHODS IN COMPUTER AIDED DESIGN (FMCAD)

2LS: Heap Analysis and Memory Safety (Competition Contribution)

Benchmarking Software Model Checkers on Automotive Code

2LS: Heap Analysis and Memory Safety

Tools and Algorithms for Construction and Analysis of Systems

2LS for Program Analysis

PROGRAMMING LANGUAGES AND SYSTEMS, APLAS 2021

Proving LTL Properties of Bitvector Programs and Decompiled Binaries (Extended)


Underthesea - Vietnamese NLP Toolkit

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

A Feature-Rich Vietnamese Named-Entity Recognition Model

Conversational Machine Reading Comprehension for Vietnamese Healthcare Texts

International Conference on Computational Collective Intelligence

An Efficient Model for Sentiment Analysis of Electronic Product Reviews in Vietnamese

Non-Standard Vietnamese Word Detection and Normalization for Text-to-Speech

KC4Align: Improving Sentence Alignment method for Low-resource Language Pairs

Pacific Asia Conference on Language, Information and Computation

Integrating Image Features with Convolutional Sequence-to-sequence Network for Multilingual Visual Question Answering


A Modelica model library for building performance simulations

AixLib - An Open-Source Modelica Library within the IEA-EBC Annex60 Framework

Application of the open-source cloud platform FIWARE for future building energy management systems

Model Predictive Control for the Energy Management in a District of Buildings Equipped with Building Integrated Photovoltaic Systems and Batteries

Balancing Energy Efficiency with Indoor Comfort Using Smart Control Agents: A Simulative Case Study

Design, Implementation and Demonstration of Embedded Agents for Energy Management in Non-Residential Buildings

On modelling effects in the battery and thermal storage scheduling problem

Journal of Building Performance Simulation, Taylor & Francis

Fault detection and diagnosis in building energy systems: A tool chain for the automated generation of training data


Apache CXF

A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software

How well does LLM generate security tests?

Multi-Granularity Detector for Vulnerability Fixes

Do Missing Link Community Smell Affect Developers Productivity: An Empirical Study


Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018

Very Deep Convolutional Networks for Large-Scale Image Recognition

Focal Loss for Dense Object Detection

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


mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document
  Understanding

mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language Model

TinyChart: Efficient Chart Understanding with Visual Token Merging and Program-of-Thoughts Learning

mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding


Deep learning with dynamic computation graphs in TensorFlow

Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks

Refining Word Embeddings for Sentiment Analysis

Empirical Methods in Natural Language Processing

Deep Learning with Dynamic Computation Graphs

Dynamic Control Flow in Large-Scale Machine Learning

AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks

Learning Deep Nearest Neighbor Representations Using Differentiable Boundary Trees

Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks


DeepSurv is a deep learning approach to survival analysis.

DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network

The Application of Deep Learning in Cancer Prognosis Prediction

Deep learning-based survival prediction of oral cancer patients

Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks

Stacked Autoencoder Based Multi-Omics Data Integration for Cancer Survival Prediction

Deep Learning Approach for Predicting 30 Day Readmissions after Coronary Artery Bypass Graft Surgery

Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis

Multi-Source Survival Domain Adaptation

CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysis

Distance-Metric Learning for Personalized Survival Analysis


Haplotype based scans for selection

selscan: An Efficient Multithreaded Program to Perform EHH-Based Scans for Positive Selection

An ancient viral epidemic involving host coronavirus interacting genes more than 20,000 years ago in East Asia

The evolutionary history and genomics of European blackcap migration

Identifying the favored mutation in a positive selective sweep

Prioritizing natural-selection signals from the deep-sequencing genomic data suggests multi-variant adaptation in Tibetan highlanders

selscan 2.0: scanning for sweeps in unphased data

Genomic data as the “hitchhiker's guide” to cattle adaptation: tracking the milestones of past selection in the bovine genome

The Quest for Genes Involved in Adaptation to Climate Change in Ruminant Livestock

Animals : an open access journal from MDPI

Population-specific, recent positive directional selection suggests adaptation of human male reproductive genes to different environmental conditions

Genomic population structure and local adaptation of the wild strawberry Fragaria nilgerrensis


Package for Simulation, Tomography and Analysis of Quantum Computers

The ITensor Software Library for Tensor Network Calculations

Provably efficient machine learning for quantum many-body problems

Classical variational simulation of the Quantum Approximate Optimization Algorithm

Quantum-Inspired Machine Learning: a Survey

Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition

QXTools: A Julia framework for distributed quantum circuit simulation


Circular visualization in R

Effect of high fat diet on phenotype, brain transcriptome and lipidome in Alzheimer’s model mice

Bacterial Physiological Adaptations to Contrasting Edaphic Conditions Identified Using Landscape Scale Metagenomics

Immune-mediated genetic pathways resulting in pulmonary function impairment increase lung cancer susceptibility

Identifying unknown Indian wolves by their distinctive howls: its potential as a non-invasive survey method

Climate change may induce connectivity loss and mountaintop extinction in Central American forests

Genetic Architecture of Powdery Mildew Resistance Revealed by a Genome-Wide Association Study of a Worldwide Collection of Flax (Linum usitatissimum L.)

Overview of Genomic Tools for Circular Visualization in the Next-generation Genomic Sequencing Era

MetaMed: Linking Microbiota Functions with Medicine Therapeutics

Crossing Bacterial Genomic Features and Methylation Patterns with MeStudio: An Epigenomic Analysis Tool

International journal of molecular sciences


The tools of the Human Connectome Project (HCP) adapted for working with non-HCP datasets

Greater Individual Variability in Functional Brain Activity during Working Memory Performance in young people with Autism and Executive Function Impairment

A large-scale fMRI dataset for the visual processing of naturalistic scenes

Shared heritability of face and brain shape distinct from cognitive traits


README and scripts for the Cityscapes Dataset

Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing

Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection

Video Coding for Machines with Feature-Based Rate-Distortion Optimization

Panoptic Segmentation on Panoramic Radiographs: Deep Learning-Based Segmentation of Various Structures Including Maxillary Sinus and Mandibular Canal

Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant

PatchPerPix for Instance Segmentation

SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation

On Intra Video Coding And In-Loop Filtering For Neural Object Detection Networks

International Conference on Information Photonics

RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions

Boosting Neural Image Compression for Machines Using Latent Space Masking


100% working container for Nominatim

Efficient and Reliable Geocoding of German Twitter Data to Enable Spatial Data Linkage to Official Statistics and Other Data Sources

Measuring the Impact of Natural Hazards with Citizen Science: The Case of Flooded Area Estimation Using Twitter

What Does Twitter Say About Self-Regulated Learning? Mapping Tweets From 2011 to 2021


100+ Chinese Word Vectors 上百种预训练中文词向量

Analogical Reasoning on Chinese Morphological and Semantic Relations

OCNLI: Original Chinese Natural Language Inference

A general approach for improving deep learning-based medical relation extraction using a pre-trained model and fine-tuning

Database : the journal of biological databases and curation

Enhancing Entity Boundary Detection for Better Chinese Named Entity Recognition

Meeting of the Association for Computational Linguistics

Detection of medical text semantic similarity based on convolutional neural network

BMC medical informatics and decision making

PONE: A Novel Automatic Evaluation Metric for Open-Domain Generative Dialogue Systems

NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity Recognition

Active Learning with Query Generation for Cost-Effective Text Classification

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

Chinese Lexical Simplification

ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification


NeuSpell: A Neural Spelling Correction Toolkit

One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling

Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense

GIO: Gradient Information Optimization for Training Dataset Selection

UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning

Did Translation Models Get More Robust Without Anyone Even Noticing?


Arduino library for communicating with XBee radios in API mode

Wireless Sensor Network Synchronization for Precision Agriculture Applications

A Comparative Study of LoRa and IEEE 802.15.4-Based IoT Deployments Inside School Buildings

A DIY Low-Cost Wireless Wind Data Acquisition System Used to Study an Arid Coastal Foredune

School buildings

Experiences from Using LoRa and IEEE 802.15.4 for IoT-Enabled Classrooms


A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

Meta-Learning of Neural Architectures for Few-Shot Learning

Generalized Inner Loop Meta-Learning

BOIL: Towards Representation Change for Few-shot Learning

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

FLEX: Unifying Evaluation for Few-Shot NLP

Offline Meta-Reinforcement Learning with Advantage Weighting

Meta-Learning Symmetries by Reparameterization

Torchmeta: A Meta-Learning library for PyTorch

Betty: An Automatic Differentiation Library for Multilevel Optimization

Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness


Code for the paper "Language Models are Unsupervised Multitask Learners"

Generating Sentiment-Preserving Fake Online Reviews Using Neural Language Models and Their Human- and Machine-based Detection

Generating Counter Narratives against Online Hate Speech: Data and Strategies

Conversational Bots for Psychotherapy: A Study of Generative Transformer Models Using Domain-specific Dialogues

Workshop on Biomedical Natural Language Processing

Can Machines Tell Stories? A Comparative Study of Deep Neural Language Models and Metrics

Training Optimus Prime, M.D.: Generating Medical Certification Items by Fine-Tuning OpenAI's gpt2 Transformer Model


A toolbox to iNNvestigate neural networks' predictions!

The (Un)reliability of saliency methods

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

iNNvestigate neural networks!

Explainable AI Methods - A Brief Overview

Explainable artificial intelligence model to predict acute critical illness from electronic health records

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

DeepCOVIDExplainer: Explainable COVID-19 Diagnosis Based on Chest X-ray Images

Toward Explainable AI for Regression Models

Interpretability-Driven Sample Selection Using Self Supervised Learning for Disease Classification and Segmentation

Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series


Retro Games in Gym

An Introduction to Deep Reinforcement Learning

Foundations and Trends® in Machine Learning

A Survey of Deep Reinforcement Learning in Video Games

The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning


Google play scraper for Python inspired by <facundoolano/google-play-scraper>

A Study of Gender Discussions in Mobile Apps

Revisiting Android App Categorization

A Comprehensive Study of Disaster Support Mobile Apps

Fairness Concerns in App Reviews: A Study on AI-based Mobile Apps

Inclusiveness Matters: A Large-Scale Analysis of User Feedback


The official repository of the Eesen project

EESEN: End-to-End Speech Recognition using Deep RNN Models and WFST-based Decoding

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

Comparison of Decoding Strategies for CTC Acoustic Models

Comparing the Max and Noisy-Or Pooling Functions in Multiple Instance Learning for Weakly Supervised Sequence Learning Tasks

When CTC Training Meets Acoustic Landmarks

Towards Real-time Mispronunciation Detection in Kids' Speech


EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD

The semiotics of the message and the messenger: How nonverbal communication affects fairness perception

Cognitive, affective & behavioral neuroscience

BRAIN2DEPTH: Lightweight CNN Model for Classification of Cognitive States from EEG Recordings

Dynamic reconfiguration of frequency-specific cortical coactivation patterns during psychedelic and anesthetized states induced by ketamine

Unique estimation in EEG analysis by the ordering ICA

The Impact of Various Cockpit Display Interfaces on Novice Pilots’ Mental Workload and Situational Awareness: A Comparative Study

Effect of Phase Clustering Bias on Phase-Amplitude Coupling for Emotional EEG.


Plant-for-the-Planet App allows you to plant trees with over 100 reforestation projects around the world.


A new Categories library for Agda

Formalizing category theory in Agda

A computational interpretation of compact closed categories: reversible programming with negative and fractional types

Symposium on Principles of Programming Languages

Extensional equality preservation and verified generic programming

Mac Lane’s Comparison Theorem for the Kleisli Construction Formalized in Coq

The derivator of setoids

Proof-relevant Category Theory in Agda.

Univalent Double Categories

Insights From Univalent Foundations: A Case Study Using Double
  Categories


Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

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

Siam R-CNN: Visual Tracking by Re-Detection

Efficient integration of heterogeneous single-cell transcriptomes using Scanorama

BBKNN: fast batch alignment of single cell transcriptomes

Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding

Multilingual Universal Sentence Encoder for Semantic Retrieval

Visualizing Large-scale and High-dimensional Data

Approximate Nearest Neighbor Search on High Dimensional Data — Experiments, Analyses, and Improvement

IEEE Transactions on Knowledge and Data Engineering

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

SpectralNet: Spectral Clustering using Deep Neural Networks


WebAssembly specification, reference interpreter, and test suite.

Wasabi: A Framework for Dynamically Analyzing WebAssembly

Potential of WebAssembly for Embedded Systems

Mediterranean Conference on Embedded Computing

Vivienne: Relational Verification of Cryptographic Implementations in WebAssembly


The SDK for Jetpac's iOS Deep Belief image recognition framework

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

Eye Tracking for Everyone

Deep Representations for Iris, Face, and Fingerprint Spoofing Detection

IEEE Transactions on Information Forensics and Security

RILOD: Near Real-Time Incremental Learning for Object Detection at the Edge

Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices

Efficient Incremental Learning for Mobile Object Detection


Workflows for Fission: Fast, reliable and lightweight function composition for serverless functions

The Serverless Computing Survey: A Technical Primer for Design Architecture

In Search of a Fast and Efficient Serverless DAG Engine

The AtLarge Vision on the Design of Distributed Systems and Ecosystems

Efficiency in the Serverless Cloud Computing Paradigm: A Survey Study.

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


HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs

A Survey of FPGA-Based Neural Network Accelerator

Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator

EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions

A Systematic Assessment of Embedded Neural Networks for Object Detection

IEEE International Conference on Emerging Technologies and Factory Automation

GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models

Energy and Performance Trade-Off Optimization in Heterogeneous Computing via Reinforcement Learning

Dynamic Temperature Management of Near-Sensor Processing for Energy-Efficient High-Fidelity Imaging

Analysis and Optimization of I/O Cache Coherency Strategies for SoC-FPGA Device

CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs

CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework

ACM Transactions on Embedded Computing Systems


ENTERPRISE (Enhanced Numerical Toolbox Enabling a Robust PulsaR Inference SuitE) is a pulsar timing analysis code, aimed at noise analysis, gravitational-wave searches, and timing model analysis.

The NANOGrav 15 yr Data Set: Evidence for a Gravitational-wave Background

The NANOGrav 12.5 yr Data Set: Search for an Isotropic Stochastic Gravitational-wave Background

The NANOGrav 15 yr Data Set: Search for Signals from New Physics

The NANOGrav 11 Year Data Set: Pulsar-timing Constraints on the Stochastic Gravitational-wave Background

Common-red-signal analysis with 24-yr high-precision timing of the European Pulsar Timing Array: Inferences in the stochastic gravitational-wave background search

Monthly Notices of the Royal Astronomical Society

The NANOGrav 15 yr Data Set: Constraints on Supermassive Black Hole Binaries from the Gravitational-wave Background

Searching for isotropic stochastic gravitational-wave background in the international pulsar timing array second data release

The NANOGrav 15 yr Data Set: Observations and Timing of 68 Millisecond Pulsars

Pulsar Timing Array Constraints on Primordial Black Holes with NANOGrav 11-Year Dataset

The Parkes Pulsar Timing Array project: second data release

Publications of the Astronomical Society of Australia


SmartSim Infrastructure Library.

Using Machine Learning at Scale in HPC Simulations with SmartSim: An Application to Ocean Climate Modeling

Coupling streaming AI and HPC ensembles to achieve 100-1000x faster biomolecular simulations

Achieving 100X faster simulations of complex biological phenomena by coupling ML to HPC ensembles.

Active flow control of a turbulent separation bubble through deep reinforcement learning

In Situ Framework for Coupling Simulation and Machine Learning with Application to CFD

Combining machine learning with computational fluid dynamics using OpenFOAM and SmartSim


Reference implementation of an Interledger connector.

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

The rise of eBPF for non-intrusive performance monitoring

Network Operations and Management Symposium

SPON: Enabling Resilient Inter-Ledgers Payments with an Intrusion-Tolerant Overlay

Deep dive into Interledger: Understanding the Interledger ecosystem


LSTM and QRNN Language Model Toolkit for PyTorch

Regularizing and Optimizing LSTM Language Models

AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

Insights on representational similarity in neural networks with canonical correlation

Why gradient clipping accelerates training: A theoretical justification for adaptivity

Identifying and Reducing Gender Bias in Word-Level Language Models

Improving Neural Language Models with a Continuous Cache

Representation Degeneration Problem in Training Natural Language Generation Models

An Analysis of Neural Language Modeling at Multiple Scales

A Constructive Prediction of the Generalization Error Across Scales

FRAGE: Frequency-Agnostic Word Representation


[CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.

VideoChat: Chat-Centric Video Understanding

MVBench: A Comprehensive Multi-modal Video Understanding Benchmark

FunQA: Towards Surprising Video Comprehension

SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models

LVCHAT: Facilitating Long Video Comprehension

AffectGPT: Dataset and Framework for Explainable Multimodal Emotion
  Recognition


Contrib package for Stable-Baselines3 -  Experimental reinforcement learning (RL) code

Trust Region Policy Optimization

A Distributional Perspective on Reinforcement Learning

Simple random search provides a competitive approach to reinforcement learning

A Closer Look at Invalid Action Masking in Policy Gradient Algorithms

Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics

Action-Evolution Petri Nets: a Framework for Modeling and Solving Dynamic Task Assignment Problems

Learning policies for resource allocation in business processes


SAI: a fork of Leela Zero with variable komi.

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Accelerating Self-Play Learning in Go

SAI, a Sensible Artificial Intelligence that plays Go

SAI: a Sensible Artificial Intelligence that plays with handicap and targets high scores in 9x9 Go (extended version)

Score vs. Winrate in Score-Based Games: which Reward for Reinforcement Learning?


Spike, a RISC-V ISA Simulator

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

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

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

ACM Transactions on Architecture and Code Optimization (TACO)

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

A Survey of the RISC-V Architecture Software Support

Multi Fluxon Storage and its Implications for Microprocessor Design

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

International Conference on Supercomputing in Mexico

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

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

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


Wildfire Predictive Services to support decision making in prevention, preparedness, response and recovery


SwinIR: Image Restoration Using Swin Transformer (official repository)

DifFace: Blind Face Restoration with Diffused Error Contraction

DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models

Modeling Mask Uncertainty in Hyperspectral Image Reconstruction

CMISR: Circular Medical Image Super-Resolution

AutoSR4EO: An AutoML Approach to Super-Resolution for Earth Observation Images

Whole-body PET image denoising for reduced acquisition time

Detect Your Fingerprint in Your Photographs: Photography-based Multi-Feature Sybil Detection

Proceedings on Privacy Enhancing Technologies


New version: Grasp2K relativistic atomic structure package

GRASP2018-A Fortran 95 version of the General Relativistic Atomic Structure Package

The 3D non-LTE solar nitrogen abundance from atomic lines

Extended atomic data for oxygen abundance analyses

Electron correlation in the lanthanides:4f2spectrum ofCe2+

Extended MCDHF Calculations of Energy Levels and Transition Data for N i

Deep-learning approach for the atomic configuration interaction problem on large basis sets


✨Fast Coreference Resolution in spaCy with Neural Networks

Visual Coreference Resolution in Visual Dialog using Neural Module Networks

Language Models are Open Knowledge Graphs

Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs

Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize

EXTRACTOR: Extracting Attack Behavior from Threat Reports

Document-level Neural MT: A Systematic Comparison

HAL (Le Centre pour la Communication Scientifique Directe)

BiasFinder: Metamorphic Test Generation to Uncover Bias for Sentiment Analysis Systems

Interpreting Language Models with Contrastive Explanations

Semantic Representation for Dialogue Modeling

Repurposing Entailment for Multi-Hop Question Answering Tasks


Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".

Flexible Isosurface Extraction for Gradient-Based Mesh Optimization

CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation

Reconstructing Objects in-the-wild for Realistic Sensor Simulation

TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation

SLANG.D: Fast, Modular and Differentiable Shader Programming

Sparse 3D Reconstruction via Object-Centric Ray Sampling

Learning Dynamic Tetrahedra for High-Quality Talking Head Synthesis


RocketQA, dense retrieval for information retrieval and question answering, including both Chinese and English state-of-the-art models.

RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking

Dense Text Retrieval Based on Pretrained Language Models: A Survey

PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval

Meeting of the Association for Computational Linguistics

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

DuReader_retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search Engine

UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systems

DORIS-MAE: Scientific Document Retrieval using Multi-level Aspect-based Queries

Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogue


a distributed Hyperband implementation on Steroids

AutoML: A survey of the state-of-the-art

BOHB: Robust and Efficient Hyperparameter Optimization at Scale

NAS-Bench-101: Towards Reproducible Neural Architecture Search

Benchmark and Survey of Automated Machine Learning Frameworks

Well-tuned Simple Nets Excel on Tabular Datasets

Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search

Tabular Benchmarks for Joint Architecture and Hyperparameter Optimization

HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO

Neural Ensemble Search for Uncertainty Estimation and Dataset Shift

HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation


Download numerical weather prediction datasets (HRRR, RAP, GFS, IFS, etc.) from NOMADS, NODD partners (Amazon, Google, Microsoft), ECMWF open data, and the University of Utah Pando Archive System.

Cloud archiving and data mining of High-Resolution Rapid Refresh forecast model output

A database of hourly wind speed and modeled generation for US wind plants based on three meteorological models


Automatically exported from code.google.com/p/v-hacd

Domain Randomization and Generative Models for Robotic Grasping

Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions

Learning Multi-Step Manipulation Tasks from A Single Human Demonstration

SRL-VIC: A Variable Stiffness-Based Safe Reinforcement Learning for Contact-Rich Robotic Tasks

AiAReSeg: Catheter Detection and Segmentation in Interventional Ultrasound using Transformers


Extensive de-novo TE Annotator

Benchmarking transposable element annotation methods for creation of a streamlined, comprehensive pipeline

A platinum standard pan-genome resource that represents the population structure of Asian rice

Earl Grey: a fully automated user-friendly transposable element annotation and analysis pipeline

The 3D architecture of the pepper genome and its relationship to function and evolution

Blueprint for Phasing and Assembling the Genomes of Heterozygous Polyploids: Application to the Octoploid Genome of Strawberry

A multi-omic Nicotiana benthamiana resource for fundamental research and biotechnology

A Tutorial of EDTA: Extensive De Novo TE Annotator.

Differences in activity and stability drive transposable element variation in tropical and temperate maize

Identification of Key Tissue-Specific, Biological Processes by Integrating Enhancer Information in Maize Gene Regulatory Networks

SoyMD: a platform combining multi-omics data with various tools for soybean research and breeding


PhyloSuite is an integrated and scalable desktop platform for streamlined molecular sequence data management and evolutionary phylogenetics studies

Using PhyloSuite for molecular phylogeny and tree‐based analyses

Correlation between the gut microbiome and neurodegenerative diseases: a review of metagenomics evidence

The First Five Mitochondrial Genomes for the Family Nidulariaceae Reveal Novel Gene Rearrangements, Intron Dynamics, and Phylogeny of Agaricales

International journal of molecular sciences

Morphological and molecular analyses reveal two new species of Gibellula (Cordycipitaceae, Hypocreales) from China

Identification and Biological Characteristics of Mortierella alpina Associated with Chinese Flowering Cherry (Cerasus serrulata) Leaf Blight in China


Google AI 2018 BERT pytorch implementation

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

Unlocking the Power of Deep PICO Extraction: Step-wise Medical NER Identification

RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training

Improving Neural Machine Translation with Pre-trained Representation

DARE: Distill and Reinforce Ensemble Neural Networks for Climate-Domain Processing


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

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

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

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

Verifiable Generation with Subsentence-Level Fine-Grained Citations


A minimalist environment for decision-making in autonomous driving

Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment

MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning

Drive Like a Human: Rethinking Autonomous Driving with Large Language Models

A Survey on Safety-Critical Driving Scenario Generation—A Methodological Perspective

Deep Multi-Agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic

Bi-level Actor-Critic for Multi-agent Coordination

Multi-agent reinforcement learning for cooperative lane changing of connected and autonomous vehicles in mixed traffic

Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios

A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation

CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing


Clustering cONtigs with COverage and ComposiTion

Bioinformatics strategies for taxonomy independent binning and visualization of sequences in shotgun metagenomics

Computational and structural biotechnology journal

IMP: a pipeline for reproducible reference-independent integrated metagenomic and metatranscriptomic analyses

CONCOCT: Clustering cONtigs on COverage and ComposiTion

Reconstructing a hydrogen-driven microbial metabolic network in Opalinus Clay rock

Machine learning for metagenomics: methods and tools

Bioinformatic Tools for NGS-Based Metagenomics to Improve the Clinical Diagnosis of Emerging, Re-Emerging and New Viruses

RepBin: Constraint-based Graph Representation Learning for Metagenomic Binning

IMP: a pipeline for reproducible integrated metagenomic and metatranscriptomic analyses

Improved Selective Deep-Learning-Based Clustering Ensemble


Training PyTorch models with differential privacy

Deep Learning with Differential Privacy

Conference on Computer and Communications Security

Secure and Robust Machine Learning for Healthcare: A Survey

Opacus: User-Friendly Differential Privacy Library in PyTorch

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

Personalized Federated Learning with First Order Model Optimization

Rényi Differential Privacy of the Sampled Gaussian Mechanism

Differentially Private Learning Needs Better Features (or Much More Data)

When Machine Unlearning Jeopardizes Privacy

A General Approach to Adding Differential Privacy to Iterative Training Procedures

Backdoor Defense via Decoupling the Training Process


Deep probabilistic analysis of single-cell and spatial omics data

Deep generative modeling for single-cell transcriptomics

Probabilistic harmonization and annotation of single‐cell transcriptomics data with deep generative models

Joint probabilistic modeling of single-cell multi-omic data with totalVI

Interpretable factor models of single-cell RNA-seq via variational autoencoders

Normalizing and denoising protein expression data from droplet-based single cell profiling

Clinical and translational values of spatial transcriptomics

Signal transduction and targeted therapy

A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements

A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial transcriptomics

Zenodo (CERN European Organization for Nuclear Research)

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

Self-supervised contrastive learning for integrative single cell RNA-seq data analysis


FASTJSON 2.0.x has been released, faster and more secure, recommend you upgrade.

How well does LLM generate security tests?

Bootstrapping Automated Testing for RESTful Web Services

GitHub-OSS Fixit: Fixing bugs at scale in a Software Engineering Course

RegMiner: Towards Constructing Large Regression Dataset from Code Evolution History

On the Use of Mutation in Injecting Test Order-Dependency

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

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

Who is the Real Hero? Measuring Developer Contribution via Multi-Dimensional Data Integration


(OLD REPO) Line-by-line profiling for Python - Current repo ->

Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware

Tracking Ensemble Performance on Touch-Screens with Gesture Classification and Transition Matrices

Corral framework: Trustworthy and fully functional data intensive parallel astronomical pipelines

Programming Real-Time Sound in Python

Analysis of an application delivery platform for software defined infrastructures

International Journal of Communication Networks and Distributed Systems

Optimizing Python-Based Spectroscopic Data Processing on NERSC Supercomputers

Proceedings of the Python in Science Conferences


Fast Holographic Deconvolution

Hydrogen Epoch of Reionization Array (HERA)

Publications of the Astronomical Society of the Pacific

FIRST SEASON MWA EOR POWER SPECTRUM RESULTS AT REDSHIFT 7

Improving the Epoch of Reionization Power Spectrum Results from Murchison Widefield Array Season 1 Observations

Empirical covariance modeling for 21 cm power spectrum estimation: A method demonstration and new limits from early Murchison Widefield Array 128-tile data

Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology

A Simplified, Lossless Reanalysis of PAPER-64

First Season MWA Phase II Epoch of Reionization Power Spectrum Results at Redshift 7

THE IMPORTANCE OF WIDE-FIELD FOREGROUND REMOVAL FOR 21 cm COSMOLOGY: A DEMONSTRATION WITH EARLY MWA EPOCH OF REIONIZATION OBSERVATIONS

THE MURCHISON WIDEFIELD ARRAY 21 cm POWER SPECTRUM ANALYSIS METHODOLOGY

Fundamental Limitations on the Calibration of Redundant 21 cm Cosmology Instruments and Implications for HERA and the SKA

The Challenges of Low-Frequency Radio Polarimetry: Lessons from the Murchison Widefield Array

Publications of the Astronomical Society of Australia


Performance monitoring and benchmarking suite

A Recursive Algebraic Coloring Technique for Hardware-efficient Symmetric Sparse Matrix-vector Multiplication

Fast Matrix-Free Evaluation of Discontinuous Galerkin Finite Element Operators

ACM Transactions on Mathematical Software

Multidimensional Intratile Parallelization for Memory-Starved Stencil Computations

Execution‐Cache‐Memory modeling and performance tuning of sparse matrix‐vector multiplication and Lattice quantum chromodynamics on A64FX

FECBench: A Holistic Interference-aware Approach for Application Performance Modeling

Understanding HPC Benchmark Performance on Intel Broadwell and Cascade Lake Processors

Memory Performance of AMD EPYC Rome and Intel Cascade Lake SP Server Processors

Proceedings of the 2022 ACM/SPEC on International Conference on Performance Engineering

Textbook efficiency: massively parallel matrix-free multigrid for the Stokes system

RanStop: A Hardware-assisted Runtime Crypto-Ransomware Detection Technique

A Hermite-like basis for faster matrix-free evaluation of interior penalty discontinuous Galerkin operators


Meaningful control of data in distributed systems.

WeSee: Using Malicious #VC Interrupts to Break AMD SEV-SNP

Understanding TEE Containers, Easy to Use? Hard to Trust

Private Federated Learning in Gboard

Open Problems in Technical AI Governance

Bring the BitCODE-Moving Compute and Data in Distributed Heterogeneous Systems

IEEE International Conference on Cluster Computing

Confidential Federated Computations


Simple Features for R

Disparities in access to diagnosis and care in Blantyre, Malawi, identified through enhanced tuberculosis surveillance and spatial analysis

A global database of historic glacier lake outburst floods

Generating traffic flow and speed regional model data using internet GPS vehicle records

The Rockerverse: Packages and Applications for Containerisation with R

The power, potential, and pitfalls of open access biodiversity data in range size assessments: Lessons from the fishes

Chemical Characterization of Natural Gas Leaking from Abandoned Oil and Gas Wells in Western Pennsylvania


Model Evaluation Tools

East Asia Reanalysis System (EARS)

Assessment of the data assimilation framework for the Rapid Refresh Forecast System v0.1 and impacts on forecasts of a convective storm case study

Configuration files for WRF and rain-producing storm identification model

Using feature-based verification methods to explore the spatial and temporal characteristics of the 2019 chlorophyll-a bloom season in a model of the European Northwest Shelf


The mission of Project Drawdown is to help the world reach “Drawdown”— the point in the future when levels of greenhouse gases in the atmosphere stop climbing and start to steadily decline, thereby stopping catastrophic climate change — as quickly, safely, and equitably as possible.


Nitro goes vroom and fixes everything

Specular: Towards Secure, Trust-minimized Optimistic Blockchain Execution

Monitoring the Future of Smart Contracts


Hypothesis is a powerful, flexible, and easy to use library for property-based testing.

PINT: A Modern Software Package for Pulsar Timing

Hypothesis: A new approach to property-based testing

Ciw: An open source discrete event simulation library

An open framework for the reproducible study of the iterated prisoner's dilemma

Testing Monotonicity of Machine Learning Models

Navigating the development challenges in creating complex data systems

Falsify your Software: validating scientific code with property-based testing

Covering All the Bases: Type-Based Verification of Test Input Generators


ArrayFire: a general purpose GPU library.

On the impact of quantum computing technology on future developments in high-performance scientific computing

A symmetry-derived mechanism for atomic resolution imaging

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

Flashlight: Enabling Innovation in Tools for Machine Learning

grim: A Flexible, Conservative Scheme for Relativistic Fluid Theories

A versatile software systolic execution model for GPU memory-bound kernels

PROCEEDINGS OF SC19: THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS

GPU-Accelerated Atomistic Energy Barrier Calculations of Skyrmion Annihilations

Characterizing and Detecting CUDA Program Bugs

: A Cross-Platform Programming Framework for Quantum-Accelerated Scientific Computing

Distributed and parallel sparse convex optimization for radio interferometry with PURIFY

cuHARM: A New GPU-accelerated GRMHD Code and Its Application to ADAF Disks

The Astrophysical Journal Supplement Series


PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects

ConvPoseCNN2: Prediction and Refinement of Dense 6D Object Pose


Sparse InversE Covariance estimation for Ecological Association and Statistical Inference

Sparse and Compositionally Robust Inference of Microbial Ecological Networks

Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models

Fungi stabilize connectivity in the lung and skin microbial ecosystems

Eukaryotic Parasites Are Integral to a Productive Microbial Food Web in Oxygen-Depleted Waters

Influential Insider: Wolbachia, an Intracellular Symbiont, Manipulates Bacterial Diversity in Its Insect Host

Modeling Microbial Community Networks: Methods and Tools

Exploration of the interplay between spatially distinct microbial habitats through comparative analysis


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


An open platform for science on Amazon Mechanical Turk.

Evaluating Amazon's Mechanical Turk as a Tool for Experimental Behavioral Research

Interestingness Elements for Explainable Reinforcement Learning: Understanding Agents' Capabilities and Limitations

Controversial stimuli: Pitting neural networks against each other as models of human cognition

Use or Consequences: Probing the Cognitive Difference Between Two Measures of Divergent Thinking

How Deep is the Feature Analysis underlying Rapid Visual Categorization?

Value generalization in human avoidance learning

Can Deep Learning Recognize Subtle Human Activities?

WebQAmGaze: A Multilingual Webcam Eye-Tracking-While-Reading Dataset


Q# libraries for the Quantum Development Kit

Q# and NWChem: Tools for Scalable Quantum Chemistry on Quantum Computers

Quantum Circuits for Functionally Controlled NOT Gates

A Q# Implementation of a Quantum Lookup Table for Quantum Arithmetic Functions


Jenkins automation server

A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software

SZZ unleashed: an open implementation of the SZZ algorithm - featuring example usage in a study of just-in-time bug prediction for the Jenkins project

Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation

A comprehensive study of bloated dependencies in the Maven ecosystem

IDEAL: An Open-Source Identifier Name Appraisal Tool

Towards a Geometry Automated Provers Competition

On the Use of Refactoring in Security Vulnerability Fixes: An Exploratory Study on Maven Libraries

Automated and manual testing as part of the research software development process of RCE

How are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective

Identifying Vulnerability Patches by Comprehending Code Commits with Comprehensive Change Contexts

Empirical Analysis of Software Vulnerabilities Causing Timing Side Channels


AdAway is a free and open source ad blocker for Android.

PI-Link: A Ground-Truth Dataset of Links Between Pull-Requests and Issues in GitHub

ML-Augmented Automation for Recovering Links Between Pull-Requests and Issues on GitHub


The PULP Ara is a 64-bit Vector Unit, compatible with the RISC-V Vector Extension Version 1.0, working as a coprocessor to CORE-V's CVA6 core

A ''New Ara'' for Vector Computing: An Open Source Highly Efficient RISC-V V 1.0 Vector Processor Design

Ara2: Exploring Single- and Multi-Core Vector Processing with an Efficient RVV1.0 Compliant Open-Source Processor

Sparq: A Custom RISC-V Vector Processor for Efficient Sub-Byte Quantized Inference


An efficient implementation of tree data structure in python 2/3.

Unsupervised Evaluation of Code LLMs with Round-Trip Correctness

Rumors Detection Based on Lifelong Machine Learning

VOLTA: adVanced mOLecular neTwork Analysis


Hyperledger Cacti is a new approach to the blockchain interoperability problem

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

A Pub-Sub Architecture to Promote Blockchain Interoperability

Verifiable Observation of Permissioned Ledgers

TrustCross: Enabling Confidential Interoperability across Blockchains Using Trusted Hardware

Decentralized Cross-Network Identity Management for Blockchain Interoperation

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


Visual tracking library based on PyTorch.

ATOM: Accurate Tracking by Overlap Maximization

Learning Discriminative Model Prediction for Tracking

Learning Spatio-Temporal Transformer for Visual Tracking

Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking

Probabilistic Regression for Visual Tracking

Know Your Surroundings: Exploiting Scene Information for Object Tracking

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

Transforming Model Prediction for Tracking

Learning What to Learn for Video Object Segmentation

Correlation-Aware Deep Tracking


Automatic program repair for Java with generate-and-validate techniques :v::v:: jGenProg (2014) - jMutRepair (2016) - jKali  (2016) - DeepRepair (2017) - Cardumen (2018) - 3sfix (2018)

A Comprehensive Study of Automatic Program Repair on the QuixBugs Benchmark

Ultra-Large Repair Search Space with Automatically Mined Templates: The Cardumen Mode of Astor

Symposium on Search Based Software Engineering

Automatic Repair of Real Bugs: An Experience Report on the Defects4J Dataset

Astor: Exploring the design space of generate-and-validate program repair beyond GenProg

ASTOR: Evolutionary Automatic Software Repair for Java

Revisiting ssFix for Better Program Repair


ARMORY Adversarial Robustness Evaluation Test Bed

Deep Partition Aggregation: Provable Defense against General Poisoning Attacks

Study of Pre-processing Defenses against Adversarial Attacks on State-of-the-art Speaker Recognition Systems

Representation Learning to Classify and Detect Adversarial Attacks against Speaker and Speech Recognition Systems

Perceptual-based deep-learning denoiser as a defense against adversarial attacks on ASR systems

Mel Frequency Spectral Domain Defenses against Adversarial Attacks on Speech Recognition Systems

Constraining the Attack Space of Machine Learning Models with Distribution Clamping Preprocessing

SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning


A library for flexible voxel-based mapping, mainly focusing on truncated and Euclidean signed distance fields.

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

Safe Local Exploration for Replanning in Cluttered Unknown Environments for Microaerial Vehicles

International Conference on Robotics and Automation

Voxgraph: Globally Consistent, Volumetric Mapping Using Signed Distance Function Submaps

Sparse 3D Topological Graphs for Micro-Aerial Vehicle Planning

An open‐source system for vision‐based micro‐aerial vehicle mapping, planning, and flight in cluttered environments

VDBFusion: Flexible and Efficient TSDF Integration of Range Sensor Data

C-blox: A Scalable and Consistent TSDF-based Dense Mapping Approach

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

A Unified NMPC Scheme for MAVs Navigation With 3D Collision Avoidance Under Position Uncertainty

The HAInich: A multidisciplinary vision data-set for a better understanding of the forest ecosystem


A podcast manager for Android

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

Fully automated functional fuzzing of Android apps for detecting non-crashing logic bugs

Lifestate: Event-Driven Protocols and Callback Control Flow (Extended Version)


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

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

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

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

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

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

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

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

Music Consistency Models

Prompt-guided Precise Audio Editing with Diffusion Models

Synth-AC: Enhancing Audio Captioning with Synthetic Supervision


A social networking service scraper in Python

An analysis of COVID-19 vaccine sentiments and opinions on Twitter

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases

Can ChatGPT Reproduce Human-Generated Labels? A Study of Social Computing Tasks

L3CubeMahaSent: A Marathi Tweet-based Sentiment Analysis Dataset

Mawqif: A Multi-label Arabic Dataset for Target-specific Stance Detection

Workshop on Arabic Natural Language Processing

Examining Public Sentiments and Attitudes Toward COVID-19 Vaccination: Infoveillance Study Using Twitter Posts

COVID-19, climate change, and the finite pool of worry in 2019 to 2021 Twitter discussions

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

Investigating the Emotional Response to COVID-19 News on Twitter: A Topic Modeling and Emotion Classification Approach

Implementation of Naive Bayes classification algorithm for Twitter user sentiment analysis on ChatGPT using Python programming language

Disinformation creep: ADOS and the strategic weapon-ization of breaking news

Harvard Kennedy School Misinformation Review


A pipeflow calculation tool that complements pandapower in the simulation of multi energy grids


FinRL-Meta: Dynamic datasets and market environments for FinRL.

Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning

Dynamic Datasets and Market Environments for Financial Reinforcement Learning

FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance

FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making


Depth-Aware Video Frame Interpolation (CVPR 2019)

Depth-Aware Video Frame Interpolation

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

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


C3D is a modified version of BVLC caffe to support 3D ConvNets.

Learning Spatiotemporal Features with 3D Convolutional Networks

ConvNet Architecture Search for Spatiotemporal Feature Learning

AudioCaps: Generating Captions for Audios in The Wild

North American Chapter of the Association for Computational Linguistics

One-Pass Multi-Task Networks With Cross-Task Guided Attention for Brain Tumor Segmentation

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

Video Activity Recognition: State-of-the-Art


[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

Cross Modal Transformer: Towards Fast and Robust 3D Object Detection

RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions

Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark


Geo Spatial Data Analytics on Spark

A Survey on Spatio-temporal Data Analytics Systems

LocationSpark: In-memory Distributed Spatial Query Processing and Optimization

Adaptive Geospatial Joins for Modern Hardware

PARALLEL PROCESSING OF BIG POINT CLOUDS USING Z-ORDER-BASED PARTITIONING

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

Three-dimensional Geospatial Interlinking with JedAI-spatial

Raster Interval Object Approximations for Spatial Intersection Joins


Spearmint Bayesian optimization codebase

Practical Bayesian Optimization of Machine Learning Algorithms

A Tutorial on Bayesian Optimization

AutoML: A survey of the state-of-the-art

Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks

Multi-Task Bayesian Optimization

Explainable Prediction of Medical Codes from Clinical Text

Bayesian Optimization with Unknown Constraints

Big-Data Science in Porous Materials: Materials Genomics and Machine Learning

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

CMA-ES for Hyperparameter Optimization of Deep Neural Networks


Repository for suggesting new lineages that should be added to the current scheme

SARS-CoV-2 variants, spike mutations and immune escape

Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool

Signals of Significantly Increased Vaccine Breakthrough, Decreased Hospitalization Rates, and Less Severe Disease in Patients with Coronavirus Disease 2019 Caused by the Omicron Variant of Severe Acute Respiratory Syndrome Coronavirus 2 in Houston, Texas

Virological characteristics of the SARS-CoV-2 Omicron BA.2.75 variant

Convergent Evolution in SARS-CoV-2 Spike Creates a Variant Soup from Which New COVID-19 Waves Emerge

Culture and identification of a “Deltamicron” SARS‐CoV‐2 in a three cases cluster in southern France

Convergent evolution of SARS-CoV-2 XBB lineages on receptor-binding domain 455-456 synergistically enhances antibody evasion and ACE2 binding

SARS-CoV-2 Delta–Omicron Recombinant Viruses, United States

Emergence and widespread circulation of a recombinant SARS-CoV-2 lineage in North America

A comprehensive review on Covid-19 Omicron (B.1.1.529) variant


OCR toolbox from Davar-Lab

Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting

TRIE: End-to-End Text Reading and Information Extraction for Document Understanding

MANGO: A Mask Attention Guided One-Stage Scene Text Spotter

LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment

VSR: A Unified Framework for Document Layout Analysis combining Vision, Semantics and Relations

You Only Recognize Once: Towards Fast Video Text Spotting

SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition

Modeling Entities as Semantic Points for Visual Information Extraction in the Wild

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

End-to-End Compound Table Understanding with Multi-Modal Modeling

Proceedings of the 30th ACM International Conference on Multimedia


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

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

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

Hyperspectral 3D Mapping of Underwater Environments

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

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


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

WaveGlow: A Flow-based Generative Network for Speech Synthesis

FastSpeech: Fast, Robust and Controllable Text to Speech

Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search

A Survey on Neural Speech Synthesis

Non-Autoregressive Neural Text-to-Speech

WaveFlow: A Compact Flow-based Model for Raw Audio

WaveFake: A Data Set to Facilitate Audio Deepfake Detection

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

Text-Free Image-to-Speech Synthesis Using Learned Segmental Units


A fast line-by-line code for high-resolution infrared molecular spectra


Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

Dimensionality Reduction Meets Message Passing for Graph Node Embeddings

DeepTrust: A Reliable Financial Knowledge Retrieval Framework For Explaining Extreme Pricing Anomalies

Deep learning and support vector machines for transcription start site identification

Improvement of Computational Performance of Evolutionary AutoML in a Heterogeneous Environment


Create Minecraft bots with a powerful, stable, and high level JavaScript API.

STEVE-1: A Generative Model for Text-to-Behavior in Minecraft

Octopus: Embodied Vision-Language Programmer from Environmental Feedback

A Survey on Large Language Model-Based Game Agents

Hierarchical Auto-Organizing System for Open-Ended Multi-Agent
  Navigation

Do We Really Need a Complex Agent System? Distill Embodied Agent into a
  Single Model

A Quadtree-based synchronization protocol for inter-server game state synchronization

Handling Agent Perception in Heterogeneous Distributed Systems: A Policy-Based Approach

Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks

MineLand: Simulating Large-Scale Multi-Agent Interactions with Limited
  Multimodal Senses and Physical Needs


ColabFold on your local PC

ColabFold - Making protein folding accessible to all

Stepwise emergence of the neuronal gene expression program in early animal evolution

Discovery and structure of a widespread bacterial ABC transporter specific for ergothioneine

Solubility-Aware Protein Binding Peptide Design Using AlphaFold

Reliable protein-protein docking with AlphaFold, Rosetta, and replica-exchange

bioRxiv : the preprint server for biology

Design of Cyclic Peptides Targeting Protein-Protein Interactions using AlphaFold

A phage nucleus-associated RNA-binding protein is required for jumbo phage infection

DNA-binding mechanism and evolution of Replication Protein A

Seasonal effects decouple SARS-CoV-2 haplotypes worldwide

Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction


A lazy-grounding Answer-Set Programming system

Degrees of Laziness in Grounding: Effects of Lazy-Grounding Strategies on ASP Solving

Neural Program Repair with Program Dependence Analysis and Effective Filter Mechanism

Exploiting Partial Knowledge in Declarative Domain-Specific Heuristics for ASP

Specifying and Exploiting Non-Monotonic Domain-Specific Declarative Heuristics in Answer Set Programming

Conflict Generalisation in ASP: Learning Correct and Effective Non-Ground Constraints


pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)

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

Feature Pyramid Networks for Object Detection

NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization

IEEE transactions on pattern analysis and machine intelligence

An Implementation of Faster RCNN with Study for Region Sampling

CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video

Weakly-supervised Visual Instrument-playing Action Detection in Videos

LDC-Net: A Unified Framework for Localization, Detection and Counting in Dense Crowds


VISTASOFT is the main software repository of the VISTA lab at Stanford University.

A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence

Apparent thinning of human visual cortex during childhood is associated with myelination

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

Evaluation and statistical inference for human connectomes

Human blindsight is mediated by an intact geniculo-extrastriate pathway

Ensemble Tractography

Visual field map clusters in human frontoparietal cortex

Evaluating the Accuracy of Diffusion MRI Models in White Matter

A Network of Topographic Maps in Human Association Cortex Hierarchically Transforms Visual Timing-Selective Responses

Multifunctional Roles of the Ventral Stream in Language Models: Advanced Segmental Quantification in Post-Stroke Aphasic Patients

Cortical recycling in high-level visual cortex during childhood development


The WCSim GEANT4 application

Hyper-Kamiokande Design Report

Physics potential of a long-baseline neutrino oscillation experiment using a J-PARC neutrino beam and Hyper-Kamiokande

Progress of Theoretical and Experimental Physics

A Long Baseline Neutrino Oscillation Experiment Using J-PARC Neutrino Beam and Hyper-Kamiokande

Supernova Model Discrimination with Hyper-Kamiokande

Updated physics performance of the ESSnuSB experiment

The European Spallation Source neutrino super-beam conceptual design report

The European Physical Journal Special Topics

Searching for Sub-GeV dark matter in the galactic centre using Hyper-Kamiokande

Journal of Cosmology and Astroparticle Physics

CNNs for enhanced background discrimination in DSNB searches in large-scale water-Gd detectors

TITUS: the Tokai Intermediate Tank for the Unoscillated Spectrum

Using machine learning to improve neutron identification in water Cherenkov detectors


Python library for interactive topic model visualization. Port of the R LDAvis package.

Revealing Public Opinion Towards COVID-19 Vaccines With Twitter Data in the United States: Spatiotemporal Perspective

Understanding patterns of COVID infodemic: A systematic and pragmatic approach to curb fake news

A Multimodal Deep Log-Based User Experience (UX) Platform for UX Evaluation

Sentiment Analysis and Topic Modeling Regarding Online Classes on the Reddit Platform: Educators versus Learners

Free speech or hate speech? A legal analysis of the discourse about Roma on Twitter

Information & communications technology law

What is BitChute? Characterizing the "Free Speech" Alternative to YouTube.

EDAssistant: Supporting Exploratory Data Analysis in Computational Notebooks with In Situ Code Search and Recommendation

COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research

Integrating Natural Language Processing and Interpretive Thematic Analyses to Gain Human-Centered Design Insights on HIV Mobile Health: Proof-of-Concept Analysis

Topic modelling discourse dynamics in historical newspapers


A tool for the spatial analysis of diversity


CodeBERT

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

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

GraphCodeBERT: Pre-training Code Representations with Data Flow

UniXcoder: Unified Cross-Modal Pre-training for Code Representation

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

Automating Code Review Activities by Large-Scale Pre-training

CoSQA: 20,000+ Web Queries for Code Search and Question Answering

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

Multilingual training for Software Engineering

Zenodo (CERN European Organization for Nuclear Research)

LongCoder: A Long-Range Pre-trained Language Model for Code Completion


Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings

GloVe: Global Vectors for Word Representation

Empirical Methods in Natural Language Processing

Deep learning for sentiment analysis: A survey

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

On the Dimensionality of Word Embedding

Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques

Incorporating Glosses into Neural Word Sense Disambiguation

Learning Chinese Word Representations From Glyphs Of Characters

Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification

SlotRefine: A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling

Local word vectors guiding keyphrase extraction


python parser for human readable dates

Neural Module Networks for Reasoning over Text

Adaptable Closed-Domain Question Answering Using Contextualized CNN-Attention Models and Question Expansion

Harvest - An Open Source Toolkit for Extracting Posts and Post Metadata from Web Forums

LAPDoc: Layout-Aware Prompting for Documents

QuoteKG: A Multilingual Knowledge Graph of Quotes


Pilon is an automated genome assembly improvement and variant detection tool

Pilon: An Integrated Tool for Comprehensive Microbial Variant Detection and Genome Assembly Improvement

A mini foxtail millet with an Arabidopsis-like life cycle as a C4 model system

Prevotella copri increases fat accumulation in pigs fed with formula diets

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

Whole genomes and transcriptomes reveal adaptation and domestication of pistachio

The celery genome sequence reveals sequential paleo-polyploidizations, karyotype evolution and resistance gene reduction in apiales

De novo phased assembly of the Vitis riparia grape genome

High-quality genome assembly of 'Cuiguan' pear (Pyrus pyrifolia) as a reference genome for identifying regulatory genes and epigenetic modifications responsible for bud dormancy

Comparative Analyses of Five Complete Chloroplast Genomes from the Genus Pterocarpus (Fabacaeae)

International journal of molecular sciences

A reference-grade genome identifies salt-tolerance genes from the salt-secreting mangrove species Avicennia marina


Recognizing cropped text in natural images.

ASTER: An Attentional Scene Text Recognizer with Flexible Rectification

Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes

Text Recognition in the Wild: A Survey

2D Attentional Irregular Scene Text Recognizer

Separating Content from Style Using Adversarial Learning for Recognizing Text in the Wild

Exploring Font-independent Features for Scene Text Recognition

On Calibration of Scene-Text Recognition Models


Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network

Early brain development in infants at high risk for autism spectrum disorder

Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data

EMG Pattern Recognition in the Era of Big Data and Deep Learning

Gabor Filter Assisted Energy Efficient Fast Learning Convolutional Neural Networks

International Symposium on Low Power Electronics and Design

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

Multiplier-less Artificial Neurons Exploiting Error Resiliency for Energy-Efficient Neural Computing

Creation of a Deep Convolutional Auto-Encoder in Caffe

Fast and Efficient Asynchronous Neural Computation with Adapting Spiking Neural Networks

Plant Electrical Signal Classification Based on Waveform Similarity


Kandinsky 2 — multilingual text2image latent diffusion model

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

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

MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation

Cross-Image Attention for Zero-Shot Appearance Transfer

ConceptLab: Creative Concept Generation using VLM-Guided Diffusion Prior Constraints

GenQuery: Supporting Expressive Visual Search with Generative Models

Training Multimedia Event Extraction With Generated Images and Captions

UniFL: Improve Stable Diffusion via Unified Feedback Learning


EOSIO Documents

A Survey of Distributed Consensus Protocols for Blockchain Networks

IEEE Communications Surveys and Tutorials

Survey: Sharding in Blockchains

A Survey of Smart Contract Formal Specification and Verification

Trade-offs between Distributed Ledger Technology Characteristics

A Case Study for Blockchain in Manufacturing: "FabRec": A Prototype for Peer-to-Peer Network of Manufacturing Nodes

SoK of Used Cryptography in Blockchain

IDMoB: IoT Data Marketplace on Blockchain

Smart Contract Security: A Software Lifecycle Perspective

Research on Progress of Blockchain Consensus Algorithm: A Review on Recent Progress of Blockchain Consensus Algorithms

Extending On-chain Trust to Off-chain -- Trustworthy Blockchain Data Collection using Trusted Execution Environment (TEE)


Read and write Neuroglancer datasets programmatically.

Functional connectomics spanning multiple areas of mouse visual cortex

Cellular anatomy of the mouse primary motor cortex

Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy

Petascale neural circuit reconstruction: automated methods

The Brain Observatory Storage Service and Database (BossDB): A Cloud-Native Approach for Petascale Neuroscience Discovery

MagC, magnetic collection of ultrathin sections for volumetric correlative light and electron microscopy

A scalable and modular automated pipeline for stitching of large electron microscopy datasets

CAVE: Connectome Annotation Versioning Engine

Deep Lake: a Lakehouse for Deep Learning

Unveiling universal aspects of the cellular anatomy of the brain


BenchExec: A Framework for Reliable Benchmarking and Resource Measurement

Reliable benchmarking: requirements and solutions

International Journal on Software Tools for Technology Transfer (STTT)

CBMC: The C Bounded Model Checker

A Unifying View on SMT-Based Software Verification

Software Verification: 10th Comparative Evaluation (SV-COMP 2021)

Tools and Algorithms for Construction and Analysis of Systems

Benchmarking and Resource Measurement

Advances in Automatic Software Verification: SV-COMP 2020

CPU Energy Meter: A Tool for Energy-Aware Algorithms Engineering

Status Report on Software Testing: Test-Comp 2021

Second Competition on Software Testing: Test-Comp 2020

Software Verification with PDR: Implementation and Empirical Evaluation of the State of the Art


Count the MACs / FLOPs of your PyTorch model.

Diffusion Models Beat GANs on Image Synthesis

Green AI

The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth

Epipolar Transformers

Surface Representation for Point Clouds

Person Re-Identification via Attention Pyramid

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

Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction

Efficient Multimodal Transformer With Dual-Level Feature Restoration for Robust Multimodal Sentiment Analysis

ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model

Text Style Transfer: A Review and Experimental Evaluation


E3SM Diagnostics package

The E3SM Diagnostics Package (E3SM Diags v2.7): a Python-based diagnostics package for Earth system model evaluation


Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

GhostNet: More Features from Cheap Operations

Transformer in Transformer

Vision GNN: An Image is Worth Graph of Nodes

GhostNetV2: Enhance Cheap Operation with Long-Range Attention

An Image Patch is a Wave: Phase-Aware Vision MLP

GhostNets on Heterogeneous Devices via Cheap Operations

International Journal of Computer Vision

Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets

Augmented Shortcuts for Vision Transformers

Brain-inspired Multilayer Perceptron with Spiking Neurons

PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid Architecture


Minimal metadata schemas for science software and code, in JSON-LD

Report on the Third Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE3)

Citations for Software: Providing Identification, Access and Recognition for Research Software

Fourth Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE4)

An Analysis of Crosswalks from Research Data Schemas to Schema.org

Nine best practices for research software registries and repositories

Software publications with rich metadata: state of the art, automated workflows and HERMES concept


The Python programming language

SciPy 1.0: fundamental algorithms for scientific computing in Python

PESummary: The code agnostic Parameter Estimation Summary page builder

AALpy: an active automata learning library

Static inference meets deep learning

Proceedings of the 44th International Conference on Software Engineering

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

Pythia: Grammar-Based Fuzzing of REST APIs with Coverage-guided Feedback and Learning-based Mutations

Using fuzzy string matching for automated assessment of listener transcripts in speech intelligibility studies

Prevalence and comparisons of alcohol, candy, energy drink, snack, soda, and restaurant brand and product marketing on Twitch, Facebook Gaming and YouTube Gaming

Detecting and Understanding Real-World Differential Performance Bugs in Machine Learning Libraries

An Empirical Analysis of the Python Package Index (PyPI)


Github of the FaceForensics dataset

FaceForensics++: Learning to Detect Manipulated Facial Images

Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics

CNN-generated images are surprisingly easy to spot... for now

DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection

The Deepfake Detection Challenge (DFDC) Preview Dataset

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

What makes fake images detectable? Understanding properties that generalize

Sharp Multiple Instance Learning for DeepFake Video Detection

MM '20: PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA

FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset

Countering Malicious DeepFakes: Survey, Battleground, and Horizon


A C++ library for efficient tensor network calculations

The ITensor Software Library for Tensor Network Calculations

Reconstructing quantum states with generative models

Optimization of infinite projected entangled pair states: The role of multiplets and their breaking

Heisenberg Spin-1/2 Antiferromagnetic Molecular Chains


Official AFNI source and documentation

fMRIPrep: a robust preprocessing pipeline for functional MRI

CoSMoMVPA: Multi-Modal Multivariate Pattern Analysis of Neuroimaging Data in Matlab/GNU Octave

A comprehensive macaque fMRI pipeline and hierarchical atlas

A validation framework for neuroimaging software: The case of population receptive fields

Global change in brain state during spontaneous and forced walk in Drosophila is composed of combined activity patterns of different neuron classes

Monash DaCRA fPET-fMRI: A dataset for comparison of radiotracer administration for high temporal resolution functional FDG-PET

Stability of Spatial Smoothness and Cluster-Size Threshold Estimates in FMRI using AFNI


DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras

Visual SLAM: What are the Current Trends and What to Expect?

FusionPortableV2: A Unified Multi-Sensor Dataset for Generalized SLAM
  Across Diverse Platforms and Scalable Environments

Scene Coordinate Reconstruction: Posing of Image Collections via Incremental Learning of a Relocalizer


A cancer immunotherapy tools suite

Accounting for proximal variants improves neoantigen prediction

Computational cancer neoantigen prediction: current status and recent advances

Immunogenomic analysis of human brain metastases reveals diverse immune landscapes across genetically distinct tumors


Tensors and neural networks in Haskell

PyTorch: An Imperative Style, High-Performance Deep Learning Library

Tensors Fitting Perfectly

Type-driven Neural Programming by Example


Parflow is an open-source parallel watershed flow model.

Pan-European groundwater to atmosphere terrestrial systems climatology from a physically consistent simulation

Development of a Deep Learning Emulator for a Distributed Groundwater–Surface Water Model: ParFlow-ML

A hydrological simulation dataset of the Upper Colorado River Basin from 1983 to 2019

Leveraging HPC accelerator architectures with modern techniques — hydrologic modeling on GPUs with ParFlow

Why diffusion‐based preconditioning of Richards equation works: Spectral analysis and computational experiments at very large scale


Semantic Parser with Execution

Compositional Semantic Parsing on Semi-Structured Tables

Sequence-based Structured Prediction for Semantic Parsing

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question Answering

Semantic Parsing with Dual Learning

Improving Semantic Parsing via Answer Type Inference

Inferring Logical Forms From Denotations

Macro Grammars and Holistic Triggering for Efficient Semantic Parsing

Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing

Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing

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


Characterizing Mutational Signatures in Human Cancer Cell Lines Reveals Episodic APOBEC Mutagenesis

Novel modes of RNA editing in mitochondria

Regulation of S100A8 Stability by RNF5 in Intestinal Epithelial Cells Determines Intestinal Inflammation and Severity of Colitis

Non-coding RNA Expression, Function, and Variation during Drosophila Embryogenesis

Src promotes castration-recurrent prostate cancer through androgen receptor-dependent canonical and non-canonical transcriptional signatures

Low expression of long noncoding RNA CDKN2B-AS1 in patients with idiopathic pulmonary fibrosis predicts lung cancer by regulating the p53-signaling pathway

Comparative population genomics dissects the genetic basis of seven domestication traits in jujube

Improving drug discovery using image-based multiparametric analysis of the epigenetic landscape

Identifying deer antler uhrf1 proliferation and s100a10 mineralization genes using comparative RNA-seq

Long Noncoding RNA MIR4435-2HG Suppresses Colorectal Cancer Initiation and Progression By Reprogramming Neutrophils.


TreeMapper extends the Plant-for-the-Planet Platform and allows on site data registration for restoration initiatives.


Mother of All BCI Benchmarks

MOABB: trustworthy algorithm benchmarking for BCIs

Cross-Dataset Variability Problem in EEG Decoding With Deep Learning

Good scientific practice in EEG and MEG research: Progress and perspectives

Building Brain Invaders: EEG data of an experimental validation

2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets

An Analysis of Deep Learning Models in SSVEP-Based BCI: A Survey

Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective from the Time-Frequency Analysis

IEEE transactions on neural networks and learning systems

Multi-Source Decentralized Transfer for Privacy-Preserving BCIs

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society

Brain Invaders Adaptive versus Non-Adaptive P300 Brain-Computer Interface dataset

Minimizing Subject-dependent Calibration for BCI with Riemannian Transfer Learning

International IEEE/EMBS Conference on Neural Engineering


Noah Research

CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation

Multimodal Token Fusion for Vision Transformers

Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection

HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

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

Less is More: Focus Attention for Efficient DETR

Conversation Graph: Data Augmentation, Training and Evaluation for Non-Deterministic Dialogue Management

XeroAlign: Zero-Shot Cross-lingual Transformer Alignment

CrossAligner & Co: Zero-Shot Transfer Methods for Task-Oriented Cross-lingual Natural Language Understanding

Two Parents, One Child: Dual Transfer for Low-Resource Neural Machine Translation


Extended pickling support for Python objects

The GCE in a New Light: Disentangling the γ-ray Sky with Bayesian Graph Convolutional Neural Networks.

Extracting the Galactic Center excess' source-count distribution with neural nets

The Earth Mover's Pinball Loss: Quantiles for Histogram-Valued Regression

A Serverless Engine for High Energy Physics Distributed Analysis

IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing

Laminar: A New Serverless Stream-based Framework with Semantic Code Search and Code Completion

Models Are Codes: Towards Measuring Malicious Code Poisoning Attacks on Pre-trained Model Hubs


WebAssembly System Interface

Cloud-Native Workload Orchestration at the Edge: A Deployment Review and Future Directions

A Lightweight Design for Serverless Function as a Service

MSWasm: Soundly Enforcing Memory-Safe Execution of Unsafe Code

Copy-and-patch compilation: a fast compilation algorithm for high-level languages and bytecode

On the Use of Web Assembly in a Serverless Context

Lecture notes in business information processing

Exploring the Use of WebAssembly in HPC

An Evaluation of WebAssembly and eBPF as Offloading Mechanisms in the Context of Computational Storage

Multi-variant Execution at the Edge

Wasm-bpf: Streamlining eBPF Deployment in Cloud Environments with WebAssembly


The solution of team 'grt123' in DSB2017

Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network

Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection

Lung Cancer Detection using Co-learning from Chest CT Images and Clinical Demographics

Coronary Calcium Detection using 3D Attention Identical Dual Deep Network Based on Weakly Supervised Learning

Deep Multi-task Prediction of Lung Cancer and Cancer-free Progression from Censored Heterogenous Clinical Imaging

Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk

Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography

A Systematic Analysis for State-of-the-Art 3D Lung Nodule Proposals Generation


A framework for Privacy Preserving Machine Learning

Secure and Robust Machine Learning for Healthcare: A Survey

CrypTen: Secure Multi-Party Computation Meets Machine Learning

When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control

Fairness in the Eyes of the Data: Certifying Machine-Learning Models

Secure Medical Image Analysis with CrypTFlow

ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems

Data Appraisal Without Data Sharing

FLVoogd: Robust And Privacy Preserving Federated Learning

SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models


Medical Imaging Deep Learning library to train and deploy 3D segmentation models on Azure Machine Learning

Active label cleaning for improved dataset quality under resource constraints

Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT

Integrating Artificial Intelligence Tools in the Clinical Research Setting: The Ovarian Cancer Use Case


Android UI Testing

A Novel Hybrid Method to Analyze Security Vulnerabilities in Android Applications

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

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

Automation of Android Applications Testing Using Machine Learning Activities Classification

Safe Stream-Based Programming with Refinement Types

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

DroidLink: Automated Generation of Deep Links for Android Apps

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


Pure Python Java parser and tools

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

Unsupervised Translation of Programming Languages

Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree

On Learning Meaningful Assert Statements for Unit Test Cases

International Conference on Software Engineering

Software Defect Prediction via Attention-Based Recurrent Neural Network

A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning

On the Evaluation of Neural Code Summarization

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

Patching as Translation: the Data and the Metaphor

International Conference on Automated Software Engineering

AVATAR: A Parallel Corpus for Java-Python Program Translation


Robust recipes to align language models with human and AI preferences

Zephyr: Direct Distillation of LM Alignment

SimPO: Simple Preference Optimization with a Reference-Free Reward

Weak-to-Strong Extrapolation Expedites Alignment

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

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

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

JetMoE: Reaching Llama2 Performance with 0.1M Dollars

Self-Exploring Language Models: Active Preference Elicitation for Online Alignment

Reinforcement Learning from Human Feedback with Active Queries

An Adversarial Perspective on Machine Unlearning for AI Safety


PyTorch ,ONNX and TensorRT implementation of YOLOv4

YOLOv4: Optimal Speed and Accuracy of Object Detection

Adversarial Semantic Contour for Object Detection

Vision-based bicycle and motorcycle detection using a YOLO-based Network

Diffusion to Confusion: Naturalistic Adversarial Patch Generation Based on Diffusion Model for Object Detector

A Review and Implementation of Object Detection Models and Optimizations for Real-time Medical Mask Detection during the COVID-19 Pandemic

International Symposium on INnovations in Intelligent SysTems and Applications


Generate Diverse Counterfactual Explanations for any machine learning model.

Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR

Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations

Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency

Multi-Objective Counterfactual Explanations

Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers

Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications

Counterfactual Explanations Can Be Manipulated

Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End

National Conference on Artificial Intelligence

Explainable AI meets Healthcare: A Study on Heart Disease Dataset

Verifying Individual Fairness in Machine Learning Models

Towards a multi-stakeholder value-based assessment framework for algorithmic systems

Conference on Fairness, Accountability and Transparency


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

Zenodo (CERN European Organization for Nuclear Research)

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


Learning to Rank in TensorFlow

TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank

SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval

Learning-to-Rank with BERT in TF-Ranking

Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks

PROCEEDINGS OF THE 2019 ACM SIGIR INTERNATIONAL CONFERENCE ON THEORY OF INFORMATION RETRIEVAL (ICTIR'19)

A Neural Pairwise Ranking Model for Readability Assessment

PiRank: Scalable Learning To Rank via Differentiable Sorting

ILMART: Interpretable Ranking with Constrained LambdaMART

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

Clones in deep learning code: what, where, and why?

RD-Suite: A Benchmark for Ranking Distillation

Automatic Compilation of Resources for Academic Writing and Evaluating with Informal Word Identification and Paraphrasing System


Apache Teaclave (incubating) SGX SDK helps developers to write Intel SGX applications in the Rust programming language, and also known as Rust SGX SDK.

PCT-TEE: Trajectory-based Private Contact Tracing System with Trusted Execution Environment

Secure top most significant genome variants search: iDASH 2017 competition

Util::Lookup: Exploiting key decoding in cryptographic libraries

Building and Maintaining a Third-Party Library Supply Chain for Productive and Secure SGX Enclave Development

Secure and Efficient Trajectory-Based Contact Tracing using Trusted Hardware

An Efficient and Secure Scheme of Verifiable Computation for Intel SGX

Guardian: Symbolic Validation of Orderliness in SGX Enclaves


Network Analysis in Python

Identification of the core bacteria in rectums of diarrheic and non-diarrheic piglets

Efficacy of β-lactam/β-lactamase inhibitor combination is linked to WhiB4-mediated changes in redox physiology of Mycobacterium tuberculosis

DisCoPy: Monoidal Categories in Python

QAOA-in-QAOA: Solving Large-Scale MaxCut Problems on Small Quantum Machines

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

Model Inversion Attacks Against Graph Neural Networks

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

Deep Learning in Single-Cell Analysis

Decentralized personalized federated learning: Lower bounds and optimal algorithm for all personalization modes

GUIDES - Geospatial Urban Infrastructure Data Engineering Solutions