Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110). This framework is also used to evaluate text-to-image models in HEIM (https://arxiv.org/abs/2311.04287) and vision-language models in VHELM (https://arxiv.org/abs/2410.07112).

Holistic Evaluation of Language Models

Evaluating Large Language Models: A Comprehensive Survey

Holistic Evaluation of Text-To-Image Models

On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research

SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and
  Improving Large Language Model Safety

UltraEval: A Lightweight Platform for Flexible and Comprehensive
  Evaluation for LLMs

Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging

RAmBLA: A Framework for Evaluating the Reliability of LLMs as Assistants
  in the Biomedical Domain


Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

Implicit Neural Representations for Image Compression

Critical Regularizations for Neural Surface Reconstruction in the Wild

Machine learning in solar physics

Dynamic Point Fields

Lossy compression of multidimensional medical images using sinusoidal activation networks: an evaluation study

Learning Continuous Implicit Representation for Near-Periodic Patterns

Neural Poisson: Indicator Functions for Neural Fields

Generative Neural Fields by Mixtures of Neural Implicit Functions

p-Poisson surface reconstruction in curl-free flow from point clouds


Open Chinese Language Pre-trained Model Zoo

Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction

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

Dependency Learning for Legal Judgment Prediction with a Unified Text-to-Text Transformer

Law Article-Enhanced Legal Case Matching: A Causal Learning Approach

Legal Element-oriented Modeling with Multi-view Contrastive Learning for Legal Case Retrieval

IEEE International Joint Conference on Neural Network

Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach

Few-Shot Domain Adaptation for Charge Prediction on Unprofessional Descriptions

Co-Matching: Towards Human-Machine Collaborative Legal Case Matching


Arduino Library for AES Encryption (source based on avr-crypto-lib)

A survey of secure middleware for the Internet of Things

A Novel Certificateless Signature Scheme for Smart Objects in the Internet-of-Things

Power-Based Side-Channel Attack for AES Key Extraction on the ATMega328 Microcontroller

Enhancing Privacy in the Internet of Vehicles via Hyperelliptic Curve Cryptography


The repository contains an ongoing collection of tweets IDs associated with the novel coronavirus COVID-19 (SARS-CoV-2), which commenced on January 28, 2020.

What types of COVID-19 conspiracies are populated by Twitter bots?

COVID-19 open source data sets: a comprehensive survey

Detecting Topic and Sentiment Dynamics Due to COVID-19 Pandemic Using Social Media

TweetsCOV19 - A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic

International Conference on Information and Knowledge Management

A systematic review on AI/ML approaches against COVID-19 outbreak

Multilingual topic modeling for tracking COVID-19 trends based on Facebook data analysis

Applied intelligence (Dordrecht, Netherlands)

"A Virus Has No Religion": Analyzing Islamophobia on Twitter During the COVID-19 Outbreak

How Epidemic Psychology Works on Twitter: Evolution of responses to the COVID-19 pandemic in the U.S

Unlink the Link Between COVID-19 and 5G Networks: An NLP and SNA Based Approach

IEEE access : practical innovations, open solutions

Shouting Into the Wind: Medical Science versus “B.S.” in the Twitter Maelstrom of Politics and Misinformation About Hydroxychloroquine


A fast and scalable C++ library for implicit-feedback matrix factorization models

Collaborative Similarity Embedding for Recommender Systems

SQL-Rank: A Listwise Approach to Collaborative Ranking

Matrix Factorization on GPUs with Memory Optimization and Approximate Computing

Advances in Collaborative Filtering and Ranking


The Catalogue of Life

An audit of some processing effects in aggregated occurrence records


BabyAI platform. A testbed for training agents to understand and execute language commands.

BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning

Retrieval-Augmented Reinforcement Learning

Unnatural Language Processing: Bridging the Gap Between Synthetic and Natural Language Data

BabyAI 1.1

Mastering emergent language: learning to guide in simulated navigation

Internally Rewarded Reinforcement Learning

Planning with Sequence Models through Iterative Energy Minimization

AgentGym: Evolving Large Language Model-based Agents across Diverse Environments


Keras model of NSFW detector

OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents

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

Scalable 3D Captioning with Pretrained Models

PASS: An ImageNet replacement for self-supervised pretraining without humans

Seeing without Looking: Analysis Pipeline for Child Sexual Abuse Datasets

MPCHAT: Towards Multimodal Persona-Grounded Conversation

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

From Pixels to Prose: A Large Dataset of Dense Image Captions

mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus


Command line utility for forced alignment using Kaldi

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

Low Latency End-to-End Streaming Speech Recognition with a Scout Network

Acoustic and Language Based Deep Learning Approaches for Alzheimer's Dementia Detection From Spontaneous Speech

Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias

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

DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling

Single-neuronal elements of speech production in humans

iEmoTTS: Toward Robust Cross-Speaker Emotion Transfer and Control for Speech Synthesis Based on Disentanglement Between Prosody and Timbre

Daft-Exprt: Cross-Speaker Prosody Transfer on Any Text for Expressive Speech Synthesis

IQDUBBING: Prosody modeling based on discrete self-supervised speech representation for expressive voice conversion


Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh

A Novel A.I Enhanced Reservoir Characterization with a Combined Mixture
  of Experts -- NVIDIA Modulus based Physics Informed Neural Operator Forward
  Model


We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台，我们欢迎开源爱好者发起任何有意义的pr！

LLaMA: Open and Efficient Foundation Language Models

LoRA: Low-Rank Adaptation of Large Language Models

Self-Instruct: Aligning Language Models with Self-Generated Instructions

Qwen Technical Report

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

Scaling Relationship on Learning Mathematical Reasoning with Large Language Models

Data-Juicer: A One-Stop Data Processing System for Large Language Models

An Empirical Study of Instruction-tuning Large Language Models in Chinese

Towards Better Evaluation of Instruction-Following: A Case-Study in Summarization

AlGhafa Evaluation Benchmark for Arabic Language Models


Signal-level algorithms for MinION data

Tracking Changes in SARS-CoV-2 Spike: Evidence that D614G Increases Infectivity of the COVID-19 Virus

Real-time, portable genome sequencing for Ebola surveillance

A complete bacterial genome assembled de novo using only nanopore sequencing data

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

Nanopore native RNA sequencing of a human poly(A) transcriptome

Fast and sensitive mapping of nanopore sequencing reads with GraphMap

D614G Spike Mutation Increases SARS CoV-2 Susceptibility to Neutralization

MinION Analysis and Reference Consortium: Phase 1 data release and analysis

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

Research in Computational Molecular Biology

In vitro selection of Remdesivir resistance suggests evolutionary predictability of SARS-CoV-2


NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

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

Comprehensive Assessment of Jailbreak Attacks Against LLMs

Next Steps for Human-Centered Generative AI: A Technical Perspective

Prompting Frameworks for Large Language Models: A Survey

Large Language Models as Agents in the Clinic


AltBeacon Technical Specification

COVID-SAFE: An IoT-Based System for Automated Health Monitoring and Surveillance in Post-Pandemic Life

Microlocation for Smart Buildings in the Era of the Internet of Things: A Survey of Technologies, Techniques, and Approaches

BLE Beacons in the Smart City: Applications, Challenges, and Research Opportunities

Secure system based on UAV and BLE for improving SAR missions

Journal of Ambient Intelligence and Humanized Computing

On Supporting University Communities in Indoor Wayfinding: An Inclusive Design Approach


Implementation of Super Resolution CNN in Keras.

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

Image Super-Resolution Using Deep Convolutional Networks

Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections


Stable diffusion for real-time music generation (web app)

MusicLM: Generating Music From Text

Simple and Controllable Music Generation

Noise2Music: Text-conditioned Music Generation with Diffusion Models


Tombo is a suite of tools primarily for the identification of modified nucleotides from raw nanopore sequencing data.

Sequencing DNA with nanopores: Troubles and biases

Nanopore sequencing and its application to the study of microbial communities

Computational and structural biotechnology journal

Recent advances in the detection of base modifications using the Nanopore sequencer

Whole-genome sequencing with long reads reveals complex structure and origin of structural variation in human genetic variations and somatic mutations in cancer

MasterOfPores: A Workflow for the Analysis of Oxford Nanopore Direct RNA Sequencing Datasets

Long-read sequencing in human genetics

The gap-free genome of mulberry elucidates the architecture and evolution of polycentric chromosomes

Prediction of m6A and m5C at single-molecule resolution reveals a transcriptome-wide co-occurrence of RNA modifications

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

Full-Length Transcriptome of the Whale Shark (Rhincodon typus) Facilitates the Genome Information


Creative Commons Attribution 4.0 International

Microsoft Azure Traces

Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider

Splitwise: Efficient generative LLM inference using phase splitting

Wasserstein Adversarial Transformer for Cloud Workload Prediction

Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems

THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Constructing Large-Scale Real-World Benchmark Datasets for AIOps

Traffic generation for benchmarking data centre networks

Let's Trace It: Fine-Grained Serverless Benchmarking using Synchronous and Asynchronous Orchestrated Applications

C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting

One for All: Unified Workload Prediction for Dynamic Multi-tenant Edge Cloud Platforms

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Modeling Conceptual Characteristics of Virtual Machines for CPU Utilization Prediction


TableBank: A Benchmark Dataset for Table Detection and Recognition

Image-based table recognition: data, model, and evaluation

TableBank: Table Benchmark for Image-based Table Detection and Recognition

Current Status and Performance Analysis of Table Recognition in Document Images With Deep Neural Networks

GFTE: Graph-based Financial Table Extraction

Deep learning for table detection and structure recognition: A survey

Business Document Information Extraction: Towards Practical Benchmarks


Starcraft AI Bot

Deep Reinforcement Learning: An Overview

StarCraft II: A New Challenge for Reinforcement Learning

Learning to Identify Rush Strategies in StarCraft


The approximate regex matching library and agrep command line tool.

stringi: Fast and Portable Character String Processing in R

Global survey of mobile DNA horizontal transfer in arthropods reveals Lepidoptera as a prime hotspot

Tagged Deterministic Finite Automata with Lookahead

A population-level strain genotyping method to study pathogen strain dynamics in human infections


This repository hosts the tracker for issues pertaining to GO annotations.

The Gene Ontology Resource: 20 years and still GOing strong

A GO catalogue of human DNA-binding transcription factors

Categorizing Sequences of Concern by Function To Better Assess Mechanisms of Microbial Pathogenesis


ASTRA Tomography Toolbox

Generalized Sinkhorn Iterations for Regularizing Inverse Problems Using Optimal Mass Transport

Optical diffraction tomography with finite object support for the minimization of missing cone artifacts

Deep Learning Driven Noise Reduction for Reduced Flux Computed Tomography

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

Neutron imaging data processing using the Mantid framework

VI EUROPEAN CONFERENCE ON NEUTRON SCATTERING (ECNS2015)


Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models


A batteries-included toolkit for the GPU-accelerated OpenMM molecular simulation engine.

A simple method for automated equilibration detection in molecular simulations

Path Integral Sampler: a stochastic control approach for sampling

Antibodies to the SARS-CoV-2 receptor-binding domain that maximize breadth and resistance to viral escape

bioRxiv : the preprint server for biology

Identifying and overcoming the sampling challenges in relative binding free energy calculations of a model protein:protein complex

Enhancing Ligand and Protein Sampling Using Sequential Monte Carlo

Journal of chemical theory and computation

GROMACS Stochastic Dynamics and BAOAB Are Equivalent Configurational Sampling Algorithms


Matlab routines to work with space data, particularly with MMS and Cluster/CAA data. Also some general plasma routines.

Electron Heating by Debye-Scale Turbulence in Guide-Field Reconnection

Direct observations of anomalous resistivity and diffusion in collisionless plasma

Single-spacecraft techniques for shock parameters estimation: A systematic approach

Frontiers in Astronomy and Space Sciences

Quasi-adiabatic and Stochastic Heating and Particle Acceleration at Quasi-perpendicular Shocks

Stochastic and Quasi-adiabatic Electron Heating in Quasi-parallel Shocks

Analysis of Magnetohydrodynamic Perturbations in the Radial-field Solar Wind from Parker Solar Probe Observations

Multispacecraft Analysis of the Properties of Magnetohydrodynamic Fluctuations in Sub-Alfvénic Solar Wind Turbulence at 1 au

Ion acceleration to 100 keV by the ExB wave mechanism in collision-less shocks

Monthly notices of the Royal Astronomical Society

Local acceleration of protons to 100 keV in a quasi-parallel bow shock

Journal of Geophysical Research: Space Physics

Kinetic-scale Flux Ropes: Observations and Applications of Kinetic Equilibrium Models


Message Passing Neural Networks for Molecule Property Prediction

Analyzing Learned Molecular Representations for Property Prediction

Journal of chemical information and modeling

Multi-Objective Molecule Generation using Interpretable Substructures

Evaluating Scalable Uncertainty Estimation Methods for Deep Learning-Based Molecular Property Prediction

Deep learning identifies synergistic drug combinations for treating COVID-19

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

Transfer learning for solvation free energies: From quantum chemistry to experiments

Machine Learning of Reaction Properties via Learned Representations of the Condensed Graph of Reaction

DeepGraphMol, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach

Few-shot Conformal Prediction with Auxiliary Tasks

Characterizing Uncertainty in Machine Learning for Chemistry

A hybrid framework for improving uncertainty quantification in deep learning-based QSAR regression modeling


JAX-based neural network library

Deep Residual Learning for Image Recognition

Attention Is All You Need

Highly accurate protein structure prediction with AlphaFold

Flamingo: a Visual Language Model for Few-Shot Learning

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

Training Compute-Optimal Large Language Models

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

Competition-Level Code Generation with AlphaCode

Improving language models by retrieving from trillions of tokens

Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples


Python package to access a cacophony of neuro-imaging file formats

Combining Citizen Science and Deep Learning to Amplify Expertise in Neuroimaging

Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding

Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms

Overall Survival Prediction of Glioma Patients With Multiregional Radiomics

Preoperative Brain Tumor Imaging: Models and Software for Segmentation and Standardized Reporting

Glioblastoma Surgery Imaging–Reporting and Data System: Validation and Performance of the Automated Segmentation Task

Correlated Resting-State Functional MRI Activity of Frontostriatal, Thalamic, Temporal, and Cerebellar Brain Regions Differentiates Stroke Survivors with High Compared to Low Depressive Symptom Scores


Climate Machine: an Earth System Model that automatically learns from data

Coupled online learning as a way to tackle instabilities and biases in neural network parameterizations: general algorithms and Lorenz 96 case study (v1.0)

Learned discretizations for passive scalar advection in a two-dimensional turbulent flow

Domain-Specific Multi-Level IR Rewriting for GPU

Adaptive numerical simulations with Trixi.jl: A case study of Julia for scientific computing

Large-eddy simulations with ClimateMachine v0.2.0: a new open-source code for atmospheric simulations on GPUs and CPUs

Applications of large deviation theory in geophysical fluid dynamics and climate science


american fuzzy lop (copy of the source code for easy access)

Smart Greybox Fuzzing

BaseSAFE: Baseband SAnitized Fuzzing through Emulation

ProFuzzBench: A Benchmark for Stateful Protocol Fuzzing

Corpus Distillation for Effective Fuzzing: A Comparative Evaluation

Facilitating Parallel Fuzzing with mutually-exclusive Task Distribution

PSOFuzzer: A Target-Oriented Software Vulnerability Detection Technology Based on Particle Swarm Optimization

My Fuzzer Beats Them All! Developing a Framework for Fair Evaluation and Comparison of Fuzzers

MoonLight: Effective Fuzzing with Near-Optimal Corpus Distillation.

ReFuzz: A Remedy for Saturation in Coverage-Guided Fuzzing


A tool to identify CLIP-seq peaks

Rbfox2 controls autoregulation in RNA-binding protein networks

PureCLIP: capturing target-specific protein–RNA interaction footprints from single-nucleotide CLIP-seq data

HNRNPA1 promotes recognition of splice site decoys by U2AF2 in vivo

DDX5 promotes oncogene C3 and FABP1 expressions and drives intestinal inflammation and tumorigenesis

MicroRNA-335-5p suppresses voltage-gated sodium channel expression and may be a target for seizure control

Scalable and deep profiling of mRNA targets for individual microRNAs with chimeric eCLIP

Multiplexed transcriptome discovery of RNA-binding protein binding sites by antibody-barcode eCLIP

Genomewide m6A Mapping Uncovers Dynamic Changes in the m6A Epitranscriptome of Cisplatin-Treated Apoptotic HeLa Cells

A functional screen of RNA binding proteins identifies genes that promote or limit the accumulation of CD138+ plasma cells

Master Transcription Factor Reprogramming Unleashes Selective Translation Promoting Castration Resistance and Immune Evasion in Lethal Prostate Cancer


Creative Commons Attribution Share Alike 4.0 International

The Schema-Guided Dialogue Dataset

Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset

The Eighth Dialog System Technology Challenge

Schema-Guided Dialogue State Tracking Task at DSTC8

SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems

User Simulation for Evaluating Information Access Systems


MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training Pipeline. 训练医疗大模型，实现了包括增量预训练(PT)、有监督微调(SFT)、RLHF、DPO、ORPO。

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity

TrustLLM: Trustworthiness in Large Language Models

ORPO: Monolithic Preference Optimization without Reference Model

DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation

HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs

Datasets for Large Language Models: A Comprehensive Survey

Fairness in Medical Image Analysis and Healthcare: A Literature Survey

Developing ChatGPT for biology and medicine: a complete review of biomedical question answering

DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing
  Outcomes from Sensor Data and Expert Knowledge


GNU Radio blocks for receiving LoRa modulated radio messages using SDR

Attack-Aware Synchronization-Free Data Timestamping in LoRaWAN

LoRaWAN Physical Layer-Based Attacks and Countermeasures, A Review

Testbed for LoRaWAN Security: Design and Validation through Man-in-the-Middle Attacks Study

Attack-Aware Data Timestamping in Low-Power Synchronization-Free LoRaWAN

Transparent and Tamper-Proof Event Ordering in the Internet of Things Platforms

Development and Testing of a Real-Time LoRawan Sniffer Based on GNU-Radio


Implementation of EfficientNet model. Keras and TensorFlow Keras.

Deep Residual Learning for Image Recognition

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism

Optimized deep encoder-decoder methods for crack segmentation

Deep Learning for Classification of Bone Lesions on Routine MRI

Practical galaxy morphology tools from deep supervised representation learning

An ensemble-based approach for automated medical diagnosis of malaria using EfficientNet

Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark

Automated Cleanup of the ImageNet Dataset by Model Consensus, Explainability and Confident Learning

Near Real-time Map Building with Multi-class Image Set Labeling and Classification of Road Conditions Using Convolutional Neural Networks


Python suite to construct benchmark machine learning datasets from the MIMIC-III  clinical database.

Multitask learning and benchmarking with clinical time series data

MIMIC-Extract

RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data

EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE

Federated Learning on Clinical Benchmark Data: Performance Assessment

Transfer Learning for Clinical Time Series Analysis Using Deep Neural Networks

Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data

Journal of the American Medical Informatics Association : JAMIA

Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks

Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks

Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data


G2P with Tensorflow

The Zero Resource Speech Benchmark 2021: Metrics and baselines for unsupervised spoken language modeling

An investigation of phone-based subword units for end-to-end speech recognition

Grapheme-to-Phoneme Conversion with Convolutional Neural Networks

Creating DALI, a Large Dataset of Synchronized Audio, Lyrics, and Notes

Transactions of the International Society for Music Information Retrieval

ASR for Non-standardised Languages with Dialectal Variation: the case of Swiss German

Workshop on NLP for Similar Languages, Varieties and Dialects

End-to-end style-conditioned poetry generation: What does it take to learn from examples alone?

Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature

Towards Real-time Mispronunciation Detection in Kids' Speech

PronouncUR: An Urdu Pronunciation Lexicon Generator

Are word boundaries useful for unsupervised language learning?

A Neural Network Transliteration Model in Low Resource Settings


Weight Agnostic Neural Networks

Neuroevolution of Self-Interpretable Agents

Genetic and Evolutionary Computation Conference

The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning

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

Learning to Predict Without Looking Ahead: World Models Without Forward Prediction

Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems


The FASTEST QUALITY hash function, random number generators (PRNG) and hash map.

Associations of Serum Cathepsin K and Polymorphisms in CTSK Gene With Bone Mineral Density and Bone Metabolism Markers in Postmenopausal Chinese Women

A Dyadic Simulation Approach to Efficient Range-Summability


Detecting Diabetes Risk from Social Media Activity

Empirical Methods in Natural Language Processing

Explainable Multi-hop Verbal Reasoning Through Internal Monologue

North American Chapter of the Association for Computational Linguistics

Sanity Check: A Strong Alignment and Information Retrieval Baseline for Question Answering

Parsing as Tagging

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

Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder

Meeting of the Association for Computational Linguistics

Low Resource Causal Event Detection from Biomedical Literature

Workshop on Biomedical Natural Language Processing

Towards the Necessity for Debiasing Natural Language Inference Datasets

Grounding Gradable Adjectives through Crowdsourcing

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

Interpretability Rules: Jointly Bootstrapping a Neural Relation Extractorwith an Explanation Decoder

Proceedings of the First Workshop on Trustworthy Natural Language Processing

An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification

International Conference on Computational Linguistics


Learning in infinite dimension with neural operators.

Fourier Neural Operator for Parametric Partial Differential Equations

Neural Operator: Learning Maps Between Function Spaces

Choose a Transformer: Fourier or Galerkin

Transformer for Partial Differential Equations' Operator Learning

IAE-Net: Integral Autoencoders for Discretization-Invariant Learning

Learning in latent spaces improves the predictive accuracy of deep neural operators

Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs

Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators

MgNO: Efficient Parameterization of Linear Operators via Multigrid

Guaranteed Approximation Bounds for Mixed-Precision Neural Operators


Quantum chemistry and solid state physics software package

CP2K: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations

DFTB+, a software package for efficient approximate density functional theory based atomistic simulations

Low-Scaling GW with Benchmark Accuracy and Application to Phosphorene Nanosheets.

Journal of chemical theory and computation

The Structure of Liquid and Amorphous Hafnia

Nuclear quantum effects on zeolite proton hopping kinetics explored with machine learning potentials and path integral molecular dynamics

Ground-State Properties of Metallic Solids from Ab Initio Coupled-Cluster Theory.

Local Environment and Dynamic Behavior of Fluoride Anions in Silicogermanate Zeolites: A Computational Study of the AST Framework

Subquadratic-scaling real-space random phase approximation correlation energy calculations for periodic systems with numerical atomic orbitals

Efficient Ab-Initio Molecular Dynamic Simulations by Offloading Fast Fourier Transformations to FPGAs

Accelerating QM/MM simulations of electrochemical interfaces through machine learning of electronic charge densities


Anserini is a Lucene toolkit for reproducible information retrieval research

BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Document Expansion by Query Prediction

QAnswer: Towards Question Answering Search over Websites

Simple Applications of BERT for Ad Hoc Document Retrieval

Critically Examining the "Neural Hype": Weak Baselines and the Additivity of Effectiveness Gains from Neural Ranking Models

TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection

The Neural Hype and Comparisons Against Weak Baselines

Distilling Dense Representations for Ranking using Tightly-Coupled Teachers

Query Resolution for Conversational Search with Limited Supervision

PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20)

A Neural Corpus Indexer for Document Retrieval


Sentiment Analysis with Ensemble

Self-Taught Convolutional Neural Networks for Short Text Clustering

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

Self-Adaptive Hierarchical Sentence Model

Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews

Neural information retrieval: at the end of the early years

Neural Information Retrieval: A Literature Review

Weighted Neural Bag-of-n-grams Model: New Baselines for Text Classification

Derivative Manipulation for General Example Weighting

Deep Markov Neural Network for Sequential Data Classification

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL) AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (IJCNLP), VOL 2


Deep networks for Earth Observation

Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks

Weakly supervised change detection using guided anisotropic diffusion

Very high resolution Airborne PolSAR Image Classification using Convolutional Neural Networks

Region-Enhancing Network for Semantic Segmentation of Remote-Sensing Imagery

On the Importance of 3D Surface Information for Remote Sensing Classification Tasks


This is a C implementation of variational EM for latent Dirichlet allocation (LDA), a topic model for text or other discrete data.

Neural dynamics of semantic composition

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

Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA

Recovery Guarantee of Non-negative Matrix Factorization via Alternating Updates

Gene expression based survival prediction for cancer patients—A topic modeling approach

Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts

Findings of the Association for Computational Linguistics: EMNLP 2021

Renormalization Analysis of Topic Models

EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation

Semantic Features Based N-Best Rescoring Methods for Automatic Speech Recognition

TopicModel4J: A Java Package for Topic Models


This is the FER+ new label annotations for the Emotion FER dataset.

Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution

Improving Facial Emotion Recognition Systems Using Gradient and Laplacian Images

A pre-trained model vs dedicated convolution neural networks for emotion recognition

International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering


Matterport3D is a pretty awesome dataset for RGB-D machine learning tasks :)

Matterport3D: Learning from RGB-D Data in Indoor Environments

Visual Language Maps for Robot Navigation

Generating 3D People in Scenes without People

Bird's-Eye-View Scene Graph for Vision-Language Navigation

Vision-Language Navigation: A Survey and Taxonomy

RGB-D Odometry and SLAM

Leveraging Large Language Model-based Room-Object Relationships
  Knowledge for Enhancing Multimodal-Input Object Goal Navigation


Data repository for pretrained NLP models and NLP corpora.

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

Bag of Tricks for Efficient Text Classification

Advances in Pre-Training Distributed Word Representations

Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package

A Study on Ranking Fusion Approaches for the Retrieval of Medical Publications

Contextual Bandits for Advertising Campaigns: A Diffusion-Model Independent Approach (Extended Version)

When FastText Pays Attention: Efficient Estimation of Word Representations using Constrained Positional Weighting

Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning

Proceedings of the 9th International Conference on Digital Public Health

Intrinsic analysis for dual word embedding space models


RISC-V Formal Verification Framework

Snitch: A Tiny Pseudo Dual-Issue Processor for Area and Energy Efficient Execution of Floating-Point Intensive Workloads

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

Randomized Testing of RISC-V CPUs Using Direct Instruction Injection

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


Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation

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

A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search

Optimization of Indexing Based on k-Nearest Neighbor Graph for Proximity Search in High-dimensional Data

Manu: A Cloud Native Vector Database Management System

FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity Search

Survey of Vector Database Management Systems

Navigable Proximity Graph-Driven Native Hybrid Queries with Structured and Unstructured Constraints

Worst-case Performance of Popular Approximate Nearest Neighbor Search Implementations: Guarantees and Limitations

CoRT: Complementary Rankings from Transformers


Dados relativos à pandemia COVID-19 em Portugal

A quantitative framework for exploring exit strategies from the COVID-19 lockdown

Fractional Modelling and Optimal Control of COVID-19 Transmission in Portugal

The daily urban dynamic indicator: Gauging the urban dynamic in Porto during the COVID-19 pandemic

Simulating the effects of mobility restrictions in the spread of SARS-CoV-2 in metropolitan areas in Portugal

Mobility Patterns of the Portuguese Population During the First Year of the COVID-19 Pandemic: A Longitudinal Study

Social Sensing and Human in the Loop Profiling during Pandemics: the Vitoria application

COVID-19's pandemic: a new way of thinking through linear combinations of proportions

Mathematical Analysis of Infectious Diseases


Machine Translation for Africa

The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation

Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages

Masakhane -- Machine Translation For Africa

Towards Supervised and Unsupervised Neural Machine Translation Baselines for Nigerian Pidgin

Neural Machine Translation for South Africa's Official Languages


A Python package to assess and improve fairness of machine learning models.

Equality of Opportunity in Supervised Learning

A Reductions Approach to Fair Classification

Fairness in Machine Learning: A Survey

Fair Regression: Quantitative Definitions and Reduction-based Algorithms

Predictability and Surprise in Large Generative Models

"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness

An empirical characterization of fair machine learning for clinical risk prediction

On the Privacy Risks of Algorithmic Fairness

Fair Bayesian Optimization

Fair Learning with Private Demographic Data


Arnold - DOOM Agent

Deep Reinforcement Learning: An Overview

Playing FPS Games with Deep Reinforcement Learning

ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning


Open source person re-identification library in python

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

Progressive Pose Attention Transfer for Person Image Generation

KeepAugment: A Simple Information-Preserving Data Augmentation Approach

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

DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality Annotations

Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports

Progressive and Aligned Pose Attention Transfer for Person Image Generation

Progressive Transfer Learning

Taking A Closer Look at Synthesis: Fine-grained Attribute Analysis for Person Re-Identification

Progressive Transfer Learning for Person Re-identification

PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE

Improved Hard Example Mining by Discovering Attribute-based Hard Person Identity


A curated list of Blockchain projects for Artificial Intelligence and Machine Learning

Decentralized & Collaborative AI on Blockchain

International Congress on Blockchain and Applications

Proof of Federated Learning: A Novel Energy-Recycling Consensus Algorithm

Proof-of-Learning: A Blockchain Consensus Mechanism Based on Machine Learning Competitions

IEEE International Conference on Decentralized Applications and Infrastructures

Coin.AI: A Proof-of-Useful-Work Scheme for Blockchain-Based Distributed Deep Learning

On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda

Energy-recycling Blockchain with Proof-of-Deep-Learning

Analysis of Models for Decentralized and Collaborative AI on Blockchain

Hyperparameter Optimization Using Sustainable Proof of Work in Blockchain

Middleware Doctoral Symposium - BlockML: a useful proof of work system based on machine learning tasks

MIDDLEWARE'19: PROCEEDINGS OF THE 2019 20TH INTERNATIONAL MIDDLEWARE CONFERENCE DOCTORAL SYMPOSIUM

A mining pool solution for novel proof-of-neural-architecture consensus


[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework

X-Align++: cross-modal cross-view alignment for Bird’s-eye-view segmentation

IEEE Workshop/Winter Conference on Applications of Computer Vision

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

X-Align: Cross-Modal Cross-View Alignment for Bird's-Eye-View Segmentation

Optimizing LiDAR Placements for Robust Driving Perception in Adverse
  Conditions

Lift-Attend-Splat: Bird's-eye-view camera-lidar fusion using transformers

Better Monocular 3D Detectors with LiDAR from the Past


Structural variant and indel caller for mapped sequencing data

Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications

Molecular, Pathological, Radiological, and Immune Profiling of Non-brainstem Pediatric High-Grade Glioma from the HERBY Phase II Randomized Trial

Sarek: A portable workflow for whole-genome sequencing analysis of germline and somatic variants

A reference human induced pluripotent stem cell line for large-scale collaborative studies.

Resolution of structural variation in diverse mouse genomes reveals chromatin remodeling due to transposable elements

Integrated multi-omics for rapid rare disease diagnosis on a national scale

Analysis pipelines for cancer genome sequencing in mice

Genomic autopsy to identify underlying causes of pregnancy loss and perinatal death

Combined low-pass whole genome and targeted sequencing in liquid biopsies for pediatric solid tumors

Scalable, high quality, whole genome sequencing from archived, newborn, dried blood spots


Fast & memory efficient hashtable based on robin hood hashing for C++11/14/17/20

REINDEER: efficient indexing of k-mer presence and abundance in sequencing datasets

Using Skip Graphs for Increased NUMA Locality

Engineering Predecessor Data Structures for Dynamic Integer Sets

Fine-Tuning Data Structures for Analytical Query Processing

rNdN: Fast Query Compilation for NVIDIA GPUs

ACM Transactions on Architecture and Code Optimization (TACO)

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


Accurate sample inference from amplicon data with single nucleotide resolution

DADA2: High-resolution sample inference from Illumina amplicon data

High-throughput amplicon sequencing of the full-length 16S rRNA gene with single-nucleotide resolution

The use of next generation sequencing for improving food safety: Translation into practice

Host genetic selection for cold tolerance shapes microbiome composition and modulates its response to temperature

Amplicon Sequence Variants Artificially Split Bacterial Genomes into Separate Clusters

Global radiation in a rare biosphere soil diatom

Dysbiosis and early mortality in zebrafish larvae exposed to subclinical concentrations of streptomycin

Exposure to Arsenic Alters the Microbiome of Larval Zebrafish

Development of a Blocking Primer to Inhibit the PCR Amplification of the 18S rDNA Sequences of Litopenaeus vannamei and Its Efficacy in Crassostrea hongkongensis

Effect of Dietary Carbohydrate-to-Protein Ratio on Gut Microbiota in Atlantic Salmon (Salmo salar)

Animals : an open access journal from MDPI


Open source 5G UE and RAN (gNodeB) implementation.

Tutorial on communication between access networks and the 5G core

Efficient Network Slicing with SDN and Heuristic Algorithm for Low Latency Services in 5G/B5G Networks

Accelerating Handover in Mobile Satellite Network

A Modular, End-to-End Next-Generation Network Testbed: Towards a Fully
  Automated Network Management Platform

Deep Reinforcement Learning Based Resource Allocation for Cloud Native Wireless Network

A Cloud-Edge Continuum Experimental Methodology Applied to a 5G Core Study

P3LI5: Practical and confidEntial Lawful Interception on the 5G core


Read excel files (.xls and .xlsx) into R

Monocyte Trafficking and Polarization Contribute to Sex Differences in Meta-Inflammation

Hypophosphatemia Due to Increased Effector Cell Metabolic Activity Is Associated with Neurotoxicity Symptoms in CD19-Targeted CAR T-cell Therapy

Early detection of soluble CD27, BTLA, and TIM-3 predicts the development of nosocomial infection in pediatric burn patients

Scalable RT‐LAMP‐based SARS‐CoV‐2 testing for infection surveillance with applications in pandemic preparedness

Human Fis1 directly interacts with Drp1 in an evolutionarily conserved manner to promote mitochondrial fission

bioRxiv : the preprint server for biology

The Use of a Replicating Virus Vector For in Planta Generation of Tobacco Mosaic Virus Nanorods Suitable For Metallization

Frontiers in bioengineering and biotechnology

Climate change conditions the selection of rust-resistant candidate wild lentil populations for in situ conservation

Generalized gametic relationships for flexible analyses of parent-of-origin effects

Evolution and diversification of the momilactone biosynthetic gene cluster in the genusOryza

Public Knowledge and Attitude towards Vitiligo: A Cross-Sectional Survey in Jordan

International journal of environmental research and public health


Assemble, configure, and deploy autonomous AI Agents in your browser.

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

The Rise and Potential of Large Language Model Based Agents: A Survey

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

AgentBench: Evaluating LLMs as Agents

Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization

You Only Look at Screens: Multimodal Chain-of-Action Agents

Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents

SmartPlay: A Benchmark for LLMs as Intelligent Agents

Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow

Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects


Example of using revealed "Spectre" exploit (CVE-2017-5753 and CVE-2017-5715)

SpecuSym: Speculative Symbolic Execution for Cache Timing Leak Detection

Fight Hardware with Hardware: Systemwide Detection and Mitigation of Side-channel Attacks Using Performance Counters

RT-Sniper: A Low-Overhead Defense Mechanism Pinpointing Cache Side-Channel Attacks


GPT2 for Chinese chitchat/用于中文闲聊的GPT2模型(实现了DialoGPT的MMI思想)

A Large-Scale Chinese Short-Text Conversation Dataset

MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generation

On the Generation of Medical Dialogues for COVID-19

Restatement and Question Generation for Counsellor Chatbot

Proceedings of the 1st Workshop on NLP for Positive Impact

RAST: Domain-Robust Dialogue Rewriting as Sequence Tagging

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

ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues

Robust Dialogue Utterance Rewriting as Sequence Tagging

TikTalk: A Video-Based Dialogue Dataset for Multi-Modal Chitchat in Real World

Can Language Models Make Fun? A Case Study in Chinese Comical Crosstalk


A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory

Layer Normalization

Theano: A Python framework for fast computation of mathematical expressions

vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design

Efficient Memory Management for GPU-based Deep Learning Systems


A series of large language models developed by Baichuan Intelligent Technology

Measuring Massive Multitask Language Understanding

Baichuan 2: Open Large-scale Language Models

What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Skywork: A More Open Bilingual Foundation Model

Understanding LLMs: A Comprehensive Overview from Training to Inference

Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation Papers

AviationGPT: A Large Language Model for the Aviation Domain

CSCD-NS: a Chinese Spelling Check Dataset for Native Speakers

Train & Constrain: Phonologically Informed Tongue-Twister Generation
  from Topics and Paraphrases

PsycoLLM: Enhancing LLM for Psychological Understanding and Evaluation


Rainbow: Combining Improvements in Deep Reinforcement Learning

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

When to use parametric models in reinforcement learning?

State Entropy Maximization with Random Encoders for Efficient Exploration

Principled Exploration via Optimistic Bootstrapping and Backward Induction

Ensemble Bootstrapping for Q-Learning

On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning

Model-Based Episodic Memory Induces Dynamic Hybrid Controls

Adversary Agnostic Robust Deep Reinforcement Learning

Resetting the Optimizer in Deep RL: An Empirical Study


MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.

DeepSpeed- Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale

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

DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference

LoongServe: Efficiently Serving Long-context Large Language Models with
  Elastic Sequence Parallelism

Applications of Large Scale Foundation Models for Autonomous Driving

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

Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts
  Models

Enabling Efficient Batch Serving for LMaaS via Generation Length
  Prediction


NWChem: Open Source High-Performance Computational Chemistry

NWChem: Past, present, and future

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

Reproducibility of density functional approximations: How new functionals should be reported.

A Filon-like integration strategy for calculating exact exchange in periodic boundary conditions: a plane-wave DFT implementation

Periodic Plane-Wave Electronic Structure Calculations on Quantum Computers


Low-level data processing pipeline software for CTAO or similar arrays of Imaging Atmospheric Cherenkov Telescopes

Gammapy - A prototype for the CTA science tools

Studying deep convolutional neural networks with hexagonal lattices for imaging atmospheric Cherenkov telescope event reconstruction

Reconstruction of stereoscopic CTA events using deep learning with CTLearn

Prototype Open Event Reconstruction Pipeline for the Cherenkov Telescope Array

Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)

Physics Performance of the Large Size Telescope prototype of the Cherenkov Telescope Array

Monte Carlo study of a single SST-1M prototype for the Cherenkov Telescope Array.

End-to-end data acquisition pipeline for the Cherenkov Telescope Array

Provenance as a requirement for large-scale complex astronomical instruments

Calibration and performance of the readout system based on switched capacitor arrays for the Large-Sized Telescope of the Cherenkov Telescope Array

Ground-based and Airborne Instrumentation for Astronomy VIII

Prospects for the Use of Photosensor Timing Information with Machine Learning Techniques in Background Rejection


An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

LapGym -- An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery

OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments

Gymnasium: A Standard Interface for Reinforcement Learning Environments

Robotic Table Tennis: A Case Study into a High Speed Learning System

Speeding-up Evolutionary Algorithms to solve Black-Box Optimization Problems

Signal Novelty Detection as an Intrinsic Reward for Robotics

A Reinforcement Learning-Boosted Motion Planning Framework:
  Comprehensive Generalization Performance in Autonomous Driving

CoRL: Environment Creation and Management Focused on System Integration

Gym-preCICE: Reinforcement Learning Environments for Active Flow Control

Learning to Reach Goals via Diffusion


FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age

Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness

Algorithmic fairness datasets: the story so far

Understanding Fairness of Gender Classification Algorithms Across Gender-Race Groups

Learning Fair Classifiers with Partially Annotated Group Labels

Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-Based Recruitment

Transferring Fairness under Distribution Shifts via Fair Consistency Regularization

The Bias Amplification Paradox in Text-to-Image Generation

OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters

Gender Stereotyping Impact in Facial Expression Recognition


This is a language detection library implemented in plain Java. (aliases: language identification, language guessing)

We Value Your Privacy ... Now Take Some Cookies: Measuring the GDPR's Impact on Web Privacy

Proceedings 2019 Network and Distributed System Security Symposium

Automatic Language Identification in Texts: A Survey

Collective Emotions and Social Resilience in the Digital Traces After a Terrorist Attack

Towards a Question Answering System over the Semantic Web

TwiSty: A Multilingual Twitter Stylometry Corpus for Gender and Personality Profiling

Zenodo (CERN European Organization for Nuclear Research)

Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages

One-To-Many Multilingual End-to-end Speech Translation

WikiBERT models: deep transfer learning for many languages

EstBERT: A Pretrained Language-Specific BERT for Estonian

Are You Charlie or Ahmed? Cultural Pluralism in Charlie Hebdo Response on Twitter


Official Implementation of 'Fast AutoAugment' in PyTorch.

Fast AutoAugment

Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks

Technical Report: Combining knowledge from Transfer Learning during training and Wide Resnets


Longformer: The Long-Document Transformer

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

International Journal of Data Science and Analytics

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

MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data

Globalizing BERT-based Transformer Architectures for Long Document Summarization

Conference of the European Chapter of the Association for Computational Linguistics

Revisiting Transformer-based Models for Long Document Classification

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

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

Document Classification for COVID-19 Literature

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

Proceedings of the Third Workshop on New Frontiers in Summarization


RANDAO: A DAO working as RNG of Ethereum

A scalable verification solution for blockchains

Astraea: A Decentralized Blockchain Oracle

Probabilistic Smart Contracts: Secure Randomness on the Blockchain

Detecting nondeterministic payment bugs in Ethereum smart contracts

Proceedings of the ACM on Programming Languages

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

Blockchain Vulnerabilities in Practice

Cryptocurrency Smart Contracts for Distributed Consensus of Public Randomness

Verifiable Computing Applications in Blockchain

Trustless and Bias-resistant Game-theoretic Distributed Randomness

Committee selection in DAG distributed ledgers and applications


AMD Secure Encrypted Virtualization

SEVered: Subverting AMD's Virtual Machine Encryption

PROCEEDINGS OF THE 11TH EUROPEAN WORKSHOP ON SYSTEMS SECURITY (EUROSEC 2018)

CrossLine: Breaking "Security-by-Crash" based Memory Isolation in AMD SEV

Exploiting Interfaces of Secure Encrypted Virtual Machines

Multilayer Environment and Toolchain for Holistic NetwOrk Design and Analysis

Speedster: A TEE-assisted State Channel System


Graph+Semantics: Import/Export RDF from Neo4j. SHACL Validation, Model mapping and more.... If you like it, please ★ ⇧

Open Research Knowledge Graph: Next Generation Infrastructure for Semantic Scholarly Knowledge

An overview of graph databases and their applications in the biomedical domain

Database : the journal of biological databases and curation

Design and Implementation of an Ontology for Semantic Labeling and Testing: Automotive Global Ontology (AGO)

Enhancing Profile and Context Aware Relevant Food Search through Knowledge Graphs

PREC: semantic translation of property graphs

A Pattern Mining Method for Teaching Practices

Graph Node Embeddings using Domain-Aware Biased Random Walks


RoBO: a Robust Bayesian Optimization framework

Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization

Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets

Benchmark and Survey of Automated Machine Learning Frameworks

Fast Bayesian hyperparameter optimization on large datasets

RoBO : A Flexible and Robust Bayesian Optimization Framework in Python

Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives

Warm Starting CMA-ES for Hyperparameter Optimization

Practical Bayesian Optimization for Variable Cost Objectives

An analysis of deep neural networks for predicting trends in time series data

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


The Operator Splitting QP Solver

Global optimization via inverse distance weighting and radial basis functions

GPU acceleration of ADMM for large-scale quadratic programming

Journal of Parallel and Distributed Computing

Proper Plasma Analysis Practice (PPAP), an Integrated Procedure of Extinction Correction and Plasma Diagnostics: A Demo with an HST/WFC3 Image Set of NGC 6720

Publications of the Astronomical Society of the Pacific

A Simple and Fast Coordinate-Descent Augmented-Lagrangian Solver for Model Predictive Control

Fast Iterative Region Inflation for Computing Large 2-D/3-D Convex
  Regions of Obstacle-Free Space

Exact and Heuristic Methods with Warm-start for Embedded Mixed-Integer Quadratic Programming Based on Accelerated Dual Gradient Projection

The Proximal Map of the Weighted Mean Absolute Error


The app that powers api.safecast.org


Power Tools for AI Engineers With Deadlines


A blockchain benchmark framework to measure performance of multiple blockchain solutions https://wiki.hyperledger.org/display/caliper

Blockchains vs. Distributed Databases: Dichotomy and Fusion

Hybrid blockchain-based privacy-preserving electronic medical records sharing scheme across medical information control system (Retracted Article)

Physical Access Control Management System Based on Permissioned Blockchain

IEEE 2018 INTERNATIONAL CONGRESS ON CYBERMATICS / 2018 IEEE CONFERENCES ON INTERNET OF THINGS, GREEN COMPUTING AND COMMUNICATIONS, CYBER, PHYSICAL AND SOCIAL COMPUTING, SMART DATA, BLOCKCHAIN, COMPUTER AND INFORMATION TECHNOLOGY

How to Databasify a Blockchain: the Case of Hyperledger Fabric

Blockchain Testing: Challenges, Techniques, and Research Directions

Health-zkIDM: A Healthcare Identity System Based on Fabric Blockchain and Zero-Knowledge Proof

Performance Tuning and Scaling Enterprise Blockchain Applications

Blockchains and Distributed Databases: a Twin Study.

Gromit: Benchmarking the Performance and Scalability of Blockchain Systems

Towards Practical Applications in Modeling Blockchain System


SymEngine is a fast symbolic manipulation library, written in C++

The deal.II finite element library: Design, features, and insights

Transcriptome-guided parsimonious flux analysis improves predictions with metabolic networks in complex environments

PyCFTBoot: A flexible interface for the conformal bootstrap

Evolving interpretable plasticity for spiking networks

COMANDO: A Next-Generation Open-Source Framework for Energy Systems Optimization

QuCAT: quantum circuit analyzer tool in Python

Investigating the potential for a limited quantum speedup on protein lattice problems

SymForce: Symbolic Computation and Code Generation for Robotics

Computing with B-series

On compact packings of the plane with circles of three radii


Keras code and weights files for popular deep learning models.

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

Rethinking the Inception Architecture for Computer Vision

Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks

Proceedings 2018 Network and Distributed System Security Symposium

Improved Inception-Residual Convolutional Neural Network for Object Recognition

MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene Understanding

Robust Screening of COVID-19 from Chest X-ray via Discriminative Cost-Sensitive Learning

Adversarial Examples Versus Cloud-based Detectors: A Black-box Empirical Study

Depth Semantic Segmentation of Tobacco Planting Areas from Unmanned Aerial Vehicle Remote Sensing Images in Plateau Mountains

Deep multi-view semi-supervised clustering with sample pairwise constraints


Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper

Noisier2Noise: Learning to Denoise from Unpaired Noisy Data

A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images

Systematic Review of Advanced AI Methods for Improving Healthcare Data Quality in Post COVID-19 Era

Self-supervised Denoising via Diffeomorphic Template Estimation: Application to Optical Coherence Tomography


Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 2018

Image Generation from Scene Graphs

PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph

Generative Compositional Augmentations for Scene Graph Prediction

Controllable and Progressive Image Extrapolation

Fine-Grained is Too Coarse: A Novel Data-Centric Approach for Efficient Scene Graph Generation


AI for GNU Image Manipulation Program

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

YOLOv4: Optimal Speed and Accuracy of Object Detection

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

AOD-Net: All-in-One Dehazing Network

International Conference on Computer Vision

EnlightenGAN: Deep Light Enhancement Without Paired Supervision

Vision Transformers for Dense Prediction

MaskGAN: Towards Diverse and Interactive Facial Image Manipulation

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better

Real-Time User-Guided Image Colorization with Learned Deep Priors

EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning


Discovering Interpretable GAN Controls [NeurIPS 2020]

GANSpace: Discovering Interpretable GAN Controls

LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions

GAN "Steerability" without optimization

Surrogate Gradient Field for Latent Space Manipulation

Tensor Component Analysis for Interpreting the Latent Space of GANs

GANravel: User-Driven Direction Disentanglement in Generative Adversarial Networks

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes


A Collection of Variational Autoencoders (VAE) in PyTorch.

Categorical Reparameterization with Gumbel-Softmax

beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework

International Conference on Learning Representations

Stochastic Gradient VB and the Variational Auto-Encoder

Neural Discrete Representation Learning

Importance Weighted Autoencoders

Generating Images with Perceptual Similarity Metrics based on Deep Networks

Wasserstein Auto-Encoders

Understanding disentangling in β-VAE

InfoVAE: Information Maximizing Variational Autoencoders

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


My implementation of Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (Egor Zakharov et al.).

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

MorphGAN: One-Shot Face Synthesis GAN for Detecting Recognition Bias


Natural language detection

Predicting Issue Types on GitHub

PALI: A Language Identification Benchmark for Perso-Arabic Scripts

LIMIT: Language Identification, Misidentification, and Translation using Hierarchical Models in 350+ Languages

Pretraining and Updating Language- and Domain-specific Large Language
  Model: A Case Study in Japanese Business Domain

Your Code is 0000: An Analysis of the Disposable Phone Numbers Ecosystem


:angel: Morph faces with Python, Numpy, Scipy

One-shot Face Reenactment

Face morph detection for unknown morphing algorithms and image sources: a multi-scale block local binary pattern fusion approach

Deep Composite Face Image Attacks: Generation, Vulnerability and Detection

Mapping the perception-space of facial expressions in the era of face masks

Towards minimizing efforts for Morphing Attacks -- Deep embeddings for morphing pair selection and improved Morphing Attack Detection

Detecting Morphing Attacks via Continual Incremental Training


Cosette is an automated SQL solver.

Finding code that explodes under symbolic evaluation

Fixing Code that Explodes Under Symbolic Evaluation

Verification, Model Checking and Abstract Interpretation

SPES: A Two-Stage Query Equivalence Verifier.

A Symbolic Approach to Proving Query Equivalence Under Bag Semantics


Single-level and multi-level mediation analyses for any kind of data, with bootstrap-based significance testing. Neuroimaging-oriented functions allow for mediation effect parametric mapping (mapping of mediation effects across the brain) and multivariate mediation.

Hippocampal GABA enables inhibitory control over unwanted thoughts

Brain lesions disrupting addiction map to a common human brain circuit

Reorganization of brain networks and its association with general cognitive performance over the adult lifespan

Multiple brain networks mediating stimulus-pain relationships in humans

Human Extinction Learning Is Accelerated by an Angiotensin Antagonist via Ventromedial Prefrontal Cortex and Its Connections With Basolateral Amygdala

The Immediate and Sustained Positive Effects of Meditation on Resilience Are Mediated by Changes in the Resting Brain

Brain structure is linked to the association between family environment and behavioral problems in children in the ABCD study

What Is the Link Between Attention-Deficit/Hyperactivity Disorder and Sleep Disturbance? A Multimodal Examination of Longitudinal Relationships and Brain Structure Using Large-Scale Population-Based Cohorts

Severe nausea and vomiting in pregnancy: psychiatric and cognitive problems and brain structure in children

Resolution of impaired multisensory processing in autism and the cost of switching sensory modality


Force-directed graph layout using velocity Verlet integration.

A Deep Generative Model for Graph Layout

IEEE transactions on visualization and computer graphics

FunSet: an open-source software and web server for performing and displaying Gene Ontology enrichment analysis

The Role of Hub Neurons in Modulating Cortical Dynamics

CoV Genome Tracker: tracing genomic footprints of Covid-19 pandemic

Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations

Quantitative Comparison of Statistical Methods for Analyzing Human Metabolomics Data

Is embodied interaction beneficial? A study on navigating network visualizations

Graph visualization of dark web hyperlinks and their feature analysis

International Journal of Networking and Computing

Explaining Website Reliability by Visualizing Hyperlink Connectivity

A User Interface for Sense-making of the Reasoning Process while Interacting with Robots


The SHOC Benchmark Suite

MACC: An OpenACC Transpiler for Automatic Multi-GPU Use

Implementing and Evaluating Candidate-Based Invariant Generation

Overcoming Limitations of GPGPU-Computing in Scientific Applications


Snorkel MeTaL: A framework for training models with multi-task weak supervision

An Overview of Multi-Task Learning in Deep Neural Networks

Snorkel: Rapid Training Data Creation with Weak Supervision

Data Programming: Creating Large Training Sets, Quickly

Training Complex Models with Multi-Task Weak Supervision


OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

Non-local Neural Networks

Learning Spatiotemporal Features with 3D Convolutional Networks

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

SlowFast Networks for Video Recognition

A Closer Look at Spatiotemporal Convolutions for Action Recognition

TSM: Temporal Shift Module for Efficient Video Understanding

Is Space-Time Attention All You Need for Video Understanding?

Video Swin Transformer

AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions


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


An implementation of the Grammar of Graphics in R

Structure and evolutionary implications of the earliest (Sinemurian, Early Jurassic) dinosaur eggs and eggshells

Back from the dead; the curious tale of the predatory cyanobacterium Vampirovibrio chlorellavorus

The U2AF1S34F mutation induces lineage-specific splicing alterations in myelodysplastic syndromes

Long-chain noncoding ribonucleic acids affect the survival and prognosis of patients with esophageal adenocarcinoma through the autophagy pathway: construction of a prognostic model

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

Endogenous retroviruses drive species-specific germline transcriptomes in mammals

Implications of Climate Change: How Does Increased Water Temperature Influence Biofilm and Water Quality of Chlorinated Drinking Water Distribution Systems?

Proficiency Testing of Standardized Samples Shows Very High Interlaboratory Agreement for Clinical Next-Generation Sequencing-Based Oncology Assays.

Archives of pathology & laboratory medicine

Deciphering Genetics Underlying Stable Anaerobic Germination in Rice: Phenotyping, QTL Identification, and Interaction Analysis

Genomic Epidemiology and Characterization of Methicillin-Resistant Staphylococcus aureus from Bloodstream Infections in China.


Open source platform for the machine learning lifecycle

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

Vamsa: Automated Provenance Tracking in Data Science Scripts

Management of Machine Learning Lifecycle Artifacts: A Survey

Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms

Sapsan: Framework for Supernovae Turbulence Modeling with Machine Learning

Tailored Uncertainty Estimation for Deep Learning Systems

Boolean Decision Rules for Reinforcement Learning Policy Summarisation


Maximum Entropy Modeling Toolkit for Python and C++

Geolocation Prediction in Social Media Data by Finding Location Indicative Words

International Conference on Computational Linguistics

The Effect of Learner Corpus Size in Grammatical Error Correction of ESL Writings

A technology prototype system for rating therapist empathy from audio recordings in addiction counseling

Automatic Aggregation by Joint Modeling of Aspects and Values

Journal of Artificial Intelligence Research

Linguistic Profiling based on General--purpose Features and Native Language Identification

Workshop on Innovative Use of NLP for Building Educational Applications

A Maximum Entropy Approach to Chinese Spelling Check

The DCU Discourse Parser for Connective, Argument Identification and Explicit Sense Classification

Conference on Computational Natural Language Learning

NAIST at the HOO 2012 Shared Task

North American Chapter of the Association for Computational Linguistics


A system to flag anomalous source code expressions by learning typical expressions from training data

ControlFlag: A Self-Supervised Idiosyncratic Pattern Detection System for Software Control Structures

Are Machine Programming Systems using Right Source-Code Measures to Select Code Repositories?


Speech Enhancement Generative Adversarial Network in TensorFlow

SEGAN: Speech Enhancement Generative Adversarial Network

Investigating Generative Adversarial Networks based Speech Dereverberation for Robust Speech Recognition

UNetGAN: A Robust Speech Enhancement Approach in Time Domain for Extremely Low Signal-to-noise Ratio Condition

Towards Generalized Speech Enhancement with Generative Adversarial Networks

Deep Xi as a Front-End for Robust Automatic Speech Recognition

Denoising-and-Dereverberation Hierarchical Neural Vocoder for Robust Waveform Generation

Blind Restoration of Real-World Audio by 1D Operational GANs


Dynamic hydrology-hydraulic water quality simulation model

Hydrograph peak-shaving using a graph-theoretic algorithm for placement of hydraulic control structures


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

Privacy Side Channels in Machine Learning Systems

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

Aloe: A Family of Fine-tuned Open Healthcare LLMs

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

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


Home of the dionaea honeypot

A Survey of Honeypots and Honeynets for Internet of Things, Industrial Internet of Things, and Cyber-Physical Systems

Prevalence of IoT Protocols in Telescopeand Honeypot Measurements

PHOENI2X – A European Cyber Resilience Framework With Artificial-Intelligence-Assisted Orchestration, Automation & Response Capabilities for Business Continuity and Recovery, Incident Response, and Information Exchange

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

Honeypot Implementation in a Cloud Environment

URSID: Using formalism to Refine attack Scenarios for vulnerable Infrastructure Deployment

HoneyGPT: Breaking the Trilemma in Terminal Honeypots with Large Language Model


Graph Neural Networks with Keras and Tensorflow 2.

Graph Neural Networks in TensorFlow and Keras with Spektral

Efficient Graph Deep Learning in TensorFlow with tf_geometric

Graph Neural Networks: Methods, Applications, and Opportunities

Graph Neural Networks for Particle Tracking and Reconstruction

A spatiotemporal deep neural network for fine-grained multi-horizon wind prediction

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

TransMUSE: Transferable Traffic Prediction in MUlti-Service Edge Networks


A vision library for genicam based cameras

Real-time, low-latency closed-loop feedback using markerless posture tracking

ELT-scale adaptive optics real-time control with the Intel Xeon Phi Many Integrated Core Architecture

Monthly Notices of the Royal Astronomical Society

pyobs - An Observatory Control System for Robotic Telescopes


scRNAseq analysis notes from Ming Tang

The arcsine is asinine: the analysis of proportions in ecology

Current best practices in single‐cell RNA‐seq analysis: a tutorial

A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications

A benchmark of batch-effect correction methods for single-cell RNA sequencing data

Design and computational analysis of single-cell RNA-sequencing experiments

Single sample scoring of molecular phenotypes

Proportionality: A Valid Alternative to Correlation for Relative Data

Decontamination of ambient RNA in single-cell RNA-seq with DecontX

Comparative analysis of differential gene expression analysis tools for single-cell RNA sequencing data

Exploring the single-cell RNA-seq analysis landscape with the scRNA-tools database


Class Activation Mapping

Learning Deep Features for Discriminative Localization

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

Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine

Viraliency: Pooling Local Virality

Class Activation Map Generation by Representative Class Selection and Multi-Layer Feature Fusion

Class Activation Map generation by Multiple Level Class Grouping and Orthogonal Constraint

How explainable are adversarially-robust CNNs?

[Re] Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias


All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Unsupervised domain adaptation in brain lesion segmentation with adversarial networks

druGAN: An Advanced Generative Adversarial Autoencoder Model for de Novo Generation of New Molecules with Desired Molecular Properties in Silico

Quantum Generative Adversarial Learning

Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images

Medical Image Computing and Computer-Assisted Intervention

Reinforced Adversarial Neural Computer for de Novo Molecular Design

Journal of chemical information and modeling

Distribution Matching Losses Can Hallucinate Features in Medical Image Translation

ASDNet: Attention Based Semi-supervised Deep Networks for Medical Image Segmentation

Generating synthetic CTs from magnetic resonance images using generative adversarial networks

Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multilayer Calorimeters

Entangled Conditional Adversarial Autoencoder for de Novo Drug Discovery


This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.

The Dynamic Embedded Topic Model

Scalable Dynamic Topic Modeling with Clustered Latent Dirichlet Allocation (CLDA)

GDTM: Graph-based Dynamic Topic Models

Measuring national capability over big science’s multidisciplinarity: A case study of nuclear fusion research

Deep Probabilistic Graphical Modeling

Principled Analysis of Energy Discourse across Domains with Thesaurus-based Automatic Topic Labeling

Australasian Language Technology Association Workshop


Evolutionary multi-objective optimization platform

Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization Problems

Improved SparseEA for sparse large-scale multi-objective optimization problems

Multi-Objective Hyperparameter Optimization in Machine Learning—An Overview

Decomposition in decision and objective space for multi-modal multi-objective optimization

Multi-agent Dynamic Algorithm Configuration

Preference incorporation into many-objective optimization: An Ant colony algorithm based on interval outranking

Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities

An effective and efficient evolutionary algorithm for many-objective optimization

Evolutionary Multiobjective Optimization with Endmember Priori Strategy for Large-Scale Hyperspectral Sparse Unmixing

A Novel Angular-Guided Particle Swarm Optimizer for Many-Objective Optimization Problems


The Composer of ggplots

The Language of Social Touch Is Intuitive and Quantifiable

Evaluation of DNA Extraction Methods on Individual Helminth Egg and Larval Stages for Whole-Genome Sequencing

Size-resolved dynamics of indoor and outdoor fluorescent biological aerosol particles in a bedroom: A one-month case study in Singapore.

tidypaleo: Visualizing Paleoenvironmental Archives Using ggplot2

Do Data from Large Personal Networks Support Cultural Evolutionary Ideas about Kin and Fertility?

First Evidence That Nematode Communities in Deadwood Are Related to Tree Species Identity and to Co-Occurring Fungi and Prokaryotes

Functional meta-omics provide critical insights into long- and short-read assemblies

Assessing individual-level change in dementia research: a review of methodologies

Spatial profiling reveals association between WNT pathway activation and T-cell exclusion in acquired resistance of synovial sarcoma to NY-ESO-1 transgenic T-cell therapy

The survival of epidemic and sporadic MRSA on human skin mimics is determined by both host and bacterial factors


Sequence correction provided by ONT Research

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

Polypolish: Short-read polishing of long-read bacterial genome assemblies

Trycycler: consensus long-read assemblies for bacterial genomes

Retrospective detection of asymptomatic monkeypox virus infections among male sexual health clinic attendees in Belgium

Ultra-deep, long-read nanopore sequencing of mock microbial community standards

Connecting structure to function with the recovery of over 1000 high-quality metagenome-assembled genomes from activated sludge using long-read sequencing

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

Semi-automated assembly of high-quality diploid human reference genomes

A Rapid and Accurate MinION-Based Workflow for Tracking Species Biodiversity in the Field

A dual-constriction biological nanopore resolves homonucleotide sequences with high fidelity


Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

Radiomics in medical imaging—“how-to” guide and critical reflection

Repeatability of Multiparametric Prostate MRI Radiomics Features

18F-FDG PET/CT Radiomic Analysis with Machine Learning for Identifying Bone Marrow Involvement in the Patients with Suspected Relapsed Acute Leukemia.

Longitudinal MRI-based fusion novel model predicts pathological complete response in breast cancer treated with neoadjuvant chemotherapy: a multicenter, retrospective study

Deep Learning versus Classical Regression for Brain Tumor Patient Survival Prediction

Machine Learning-Based Radiomics Predicts Radiotherapeutic Response in Patients With Acromegaly

CT-Based Radiomics Analysis to Predict Malignancy in Patients with Intraductal Papillary Mucinous Neoplasm (IPMN) of the Pancreas

Multivariate radiomics models based on 18F-FDG hybrid PET/MRI for distinguishing between Parkinson’s disease and multiple system atrophy

An interpretable multiparametric radiomics model for the diagnosis of schizophrenia using magnetic resonance imaging of the corpus callosum

Machine learning-based prediction of invisible intraprostatic prostate cancer lesions on 68 Ga-PSMA-11 PET/CT in patients with primary prostate cancer


An open-source multi-purpose N-body code.

REBOUND: an open-source multi-purpose N-body code for collisional dynamics

ias15: a fast, adaptive, high-order integrator for gravitational dynamics, accurate to machine precision over a billion orbits

Period ratios in multiplanetary systems discovered by Kepler are consistent with planet migration

Monthly Notices of the Royal Astronomical Society: Letters

Dynamical Constraints on the HR 8799 Planets with GPI

The Formation of Jupiter's Diluted Core by a Giant Impact

All planetesimals born near the Kuiper belt formed as binaries

Discovery of a Third Transiting Planet in the Kepler-47 Circumbinary System

The stability of tightly-packed, evenly-spaced systems of Earth-mass planets orbiting a Sun-like star

A gap in the planetesimal disc around HD 107146 and asymmetric warm dust emission revealed by ALMA

Monthly notices of the Royal Astronomical Society

No circumbinary planets transiting the tightest Kepler binaries – a possible fingerprint of a third star


PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

PennyLane: Automatic differentiation of hybrid quantum-classical computations

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

A Quantum Computing View on Unitary Coupled Cluster Theory

Using the Parameterized Quantum Circuit combined with Variational-Quantum-Eigensolver (VQE) to create an Intelligent social workers' schedule problem solver

Secure quantum computing for healthcare sector: A short analysis

Quantum Algorithms for solving Hard Constrained Optimisation Problems

An Empirical Study of Bugs in Quantum Machine Learning Frameworks

Faking and Discriminating the Navigation Data of a Micro Aerial Vehicle Using Quantum Generative Adversarial Networks

Bug Characteristics in Quantum Software Ecosystem

Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis


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

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

Trade-offs between Distributed Ledger Technology Characteristics

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

Blockchain and cryptocurrencies: A classification and comparison of architecture drivers


Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

MoE-Infinity: Offloading-Efficient MoE Model Serving

PowerInfer-2: Fast Large Language Model Inference on a Smartphone

Agent-OM: Leveraging LLM Agents for Ontology Matching

Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's LLM with Open Source SLMs in Production

Exploring and steering the moral compass of Large Language Models

TSpec-LLM: An Open-source Dataset for LLM Understanding of 3GPP
  Specifications

Prompt Leakage effect and defense strategies for multi-turn LLM interactions

LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces

Simulating Family Conversations using LLMs: Demonstration of Parenting
  Styles

Cost-Effective Online Multi-LLM Selection with Versatile Reward Models


Ethereum MultiSigWallet

Harvey: A Greybox Fuzzer for Smart Contracts

The Security Reference Architecture for Blockchains: Toward a Standardized Model for Studying Vulnerabilities, Threats, and Defenses

Targeted Greybox Fuzzing with Static Lookahead Analysis

Learning Inputs in Greybox Fuzzing

An Alternative Paradigm for Developing and Pricing Storage on Smart Contract Platforms

IEEE International Conference on Decentralized Applications and Infrastructures


Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

AutoPruner: An end-to-end trainable filter pruning method for efficient deep model inference

Data-Driven Neuron Allocation for Scale Aggregation Networks

Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks

Pruning Very Deep Neural Network Channels for Efficient Inference


Toy Python implementation of http://www-nlp.stanford.edu/projects/glove/

Fine-Tuning BERT for Sentiment Analysis of Vietnamese Reviews

Context-Aware Misinformation Detection: A Benchmark of Deep Learning Architectures Using Word Embeddings

Learning to Learn from Web Data through Deep Semantic Embeddings

Self-Supervised Learning from Web Data for Multimodal Retrieval

Trace Encoding in Process Mining: a survey and benchmarking

DANES: Deep Neural Network Ensemble Architecture for Social and Textual Context-aware Fake News Detection

Tsetlin Machine Embedding: Representing Words Using Logical Expressions

TextTopicNet - Self-Supervised Learning of Visual Features Through Embedding Images on Semantic Text Spaces

Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning

Proceedings of the 9th International Conference on Digital Public Health

Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning


Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022

LMDX: Language Model-based Document Information Extraction and Localization

Visually Guided Generative Text-Layout Pre-training for Document Intelligence

On Text Localization in End-to-End OCR-Free Document Understanding Transformer Without Text Localization Supervision

PHD: Pixel-Based Language Modeling of Historical Documents


Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

Prompting Frameworks for Large Language Models: A Survey

From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning

Is ChatGPT a game changer for geocoding - a benchmark for geocoding address parsing techniques

Prompterator: Iterate Efficiently towards More Effective Prompts

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations


An open source project to document AI progress through data.

Gated-Attention Readers for Text Comprehension

Visual question answering: A survey of methods and datasets

Iterative Alternating Neural Attention for Machine Reading


Biodiversity Data Quality (BDQ) Interest Group

Herbarium data: Global biodiversity and societal botanical needs for novel research

The Atlas of Living Australia: History, current state and future directions

Developing Standards for Improved Data Quality and for Selecting Fit for Use Biodiversity Data

Biodiversity Information Science and Standards

Conceptual design blueprint for the DiSSCo digitization infrastructure - DELIVERABLE D8.1

Research infrastructure challenges in preparing essential biodiversity variables data products for alien invasive species

Data Quality Task Group 2: Tests and Assertions

Toward a Biodiversity Data Fitness for Use Backbone (FFUB): A Node.js module prototype


The Variable Infiltration Capacity (VIC) Macroscale Hydrologic Model

The Variable Infiltration Capacity model version 5 (VIC-5): infrastructure improvements for new applications and reproducibility

Climate-driven disturbances in the San Juan River sub-basin of the Colorado River

Accuracy evaluation of GPM multi-satellite precipitation products in the hydrological application over alpine and gorge regions with sparse rain gauge network

Quantifying the impacts of land cover change on hydrological responses in the Mahanadi river basin in India

MOD-LSP, MODIS-based parameters for hydrologic modeling of North American land cover change

Integration of 2D Lateral Groundwater Flow into the Variable Infiltration Capacity (VIC) Model and Effects on Simulated Fluxes for Different Grid Resolutions and Aquifer Diffusivities

A near-global, high resolution land surface parameter dataset for the variable infiltration capacity model

Ubiquitous increases in flood magnitude in the Columbia River basin under climate change

Dual state/rainfall correction via soil moisture assimilation for improved streamflow simulation: evaluation of a large-scale implementation with Soil Moisture Active Passive (SMAP) satellite data

Concurrent Changes in Extreme Hydroclimate Events in the Colorado River Basin


Some helpful preload libraries for pwning stuff.

Nyx-Net: Network Fuzzing with Incremental Snapshots

SnapFuzz: high-throughput fuzzing of network applications

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

MultiFuzz: A Coverage-Based Multiparty-Protocol Fuzzer for IoT Publish/Subscribe Protocols

A Survey of Protocol Fuzzing

Evaluating the Fork-Awareness of Coverage-Guided Fuzzers

Qualitative Analysis for Validating IEC 62443-4-2 Requirements in DevSecOps


Accurately separates a URL’s subdomain, domain, and public suffix, using the Public Suffix List (PSL).

Third Party Tracking in the Mobile Ecosystem

The Many Shapes of Archive-It

Exploring HTTPS Security Inconsistencies: A Cross-Regional Perspective

Towards Forward Secure Internet Traffic

Tracking a Year of Polarized Twitter Discourse on Abortion

Wide-AdGraph: Detecting Ad Trackers with a Wide Dependency Chain Graph

Domain-Level Detection and Disruption of Disinformation


The official Python library for the OpenAI API

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

Qwen Technical Report

Yi: Open Foundation Models by 01.AI

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

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

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

OpenAgents: An Open Platform for Language Agents in the Wild

Executable Code Actions Elicit Better LLM Agents

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

Artificial Intelligence in Medical Education: Comparative Analysis of ChatGPT, Bing, and Medical Students in Germany


SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

A Simple Framework for Contrastive Learning of Visual Representations

Big Self-Supervised Models Advance Medical Image Classification

Improving robustness against common corruptions by covariate shift adaptation

The Origins and Prevalence of Texture Bias in Convolutional Neural Networks

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

Intriguing Properties of Contrastive Losses

Image Augmentations for GAN Training

Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases

Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning


Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images

Deep Learning in Data-Driven Pavement Image Analysis and Automated Distress Detection: A Review

International Conference on Data Technologies and Applications

Transfer Learning-based Road Damage Detection for Multiple Countries

RDD2022: A multi-national image dataset for automatic Road Damage Detection

Computer vision for road imaging and pothole detection: a state-of-the-art review of systems and algorithms

Road surface detection and differentiation considering surface damages

Advances in deep learning methods for pavement surface crack detection and identification with visible light visual images


Toward Multimodal Image-to-Image Translation

Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis

Normalized Diversification

On the Evaluation of Conditional GANs

Physics-informed GANs for Coastal Flood Visualization

Generative Transition Mechanism to Image-to-Image Translation via Encoded Transformation


MrBayes is a program for Bayesian inference and model choice across a wide range of phylogenetic and evolutionary models. For documentation and downloading the program, please see the home page:

Using Parsimony-Guided Tree Proposals to Accelerate Convergence in Bayesian Phylogenetic Inference

The rise of predation in Jurassic lampreys

Diversity of the MHC class II DRB gene in the wolverine (Carnivora: Mustelidae: Gulo gulo) in Finland

High-resolution and Deep Phylogenetic Reconstruction of Ancestral States from Large Transcriptomic Data Sets

GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies

Intraspecies Variation in Tetrahymena rostrata

Characterization of Schistosome Sox Genes and Identification of a Flatworm Class of Sox Regulators


A sandboxed execution environment for unikernels

The Case for Writing Network Drivers in High-Level Programming Languages

Isolating functions at the hardware limit with virtines

Proceedings of the Seventeenth European Conference on Computer Systems

uTNT: Unikernels for Efficient and Flexible Internet Probing


Structured Text Generation

Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs

Efficient Guided Generation for Large Language Models

Code Pretraining Improves Entity Tracking Abilities of Language Models

Automata-based constraints for language model decoding

PAPERCLIP: Associating Astronomical Observations and Natural Language
  with Multi-Modal Models

Towards Consistent Language Models Using Declarative Constraints

Comparing Plausibility Estimates in Base and Instruction-Tuned Large
  Language Models

CoLLEGe: Concept Embedding Generation for Large Language Models