PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.

Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness

GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs

Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance


GFlowNet library specialized for graph & molecular data

Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation

Trajectory balance: Improved credit assignment in GFlowNets

Learning GFlowNets from partial episodes for improved convergence and stability

Maximum entropy GFlowNets with soft Q-learning


Boavizta.org Data repository


Using global reanalyses for permafrost simulation

GlobSim (v1.0): deriving meteorological time series for point locations from multiple global reanalyses


Blue Brain Python Optimisation Library

BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience

Perceptron learning and classification in a modeled cortical pyramidal cell

A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex

Zenodo (CERN European Organization for Nuclear Research)

The EBRAINS NeuroFeatureExtract: An Online Resource for the Extraction of Neural Activity Features From Electrophysiological Data

The EBRAINS Hodgkin-Huxley Neuron Builder: An online resource for building data-driven neuron models

Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models

The NeuroML ecosystem for standardized multi-scale modeling in neuroscience


Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on various efficient Differential Dynamic Programming (DDP)-like algorithms

Crocoddyl: An Efficient and Versatile Framework for Multi-Contact Optimal Control

Differential Dynamic Programming for Multi-Phase Rigid Contact Dynamics

IEEE-RAS International Conference on Humanoid Robots

A Feasibility-Driven Approach to Control-Limited DDP


SCIP - Solving Constraint Integer Programs

The SCIP Optimization Suite 9.0

A Unified Framework for Symmetry Handling

Combining Precision Boosting with LP Iterative Refinement for Exact Linear Optimization

Certified Constraint Propagation and Dual Proof Analysis in a
  Numerically Exact MIP Solver


Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Attention Correctness in Neural Image Captioning

Context-aware Captions from Context-agnostic Supervision

Does Multimodality Help Human and Machine for Translation and Image Captioning?

Proceedings of the First Conference on Machine Translation: Volume 2,
          Shared Task Papers

Learning to generalize to new compositions in image understanding

Zero-Resource Neural Machine Translation with Multi-Agent Communication Game

3G structure for image caption generation

A Semi-supervised Framework for Image Captioning

Bootstrap, Review, Decode: Using Out-of-Domain Textual Data to Improve Image Captioning.


Fast, accurate and easy to run dense optical flow with python wrapper

Video Super Resolution Based on Deep Learning: A Comprehensive Survey

Distillation Multiple Choice Learning for Multimodal Action Recognition

Learned Multi-View Texture Super-Resolution

Learned optical flow for intra-operative tracking of the retinal fundus

International journal of computer assisted radiology and surgery


ACL 2022: BRIO: Bringing Order to Abstractive Summarization

News Summarization and Evaluation in the Era of GPT-3

Joint Generator-Ranker Learning for Natural Language Generation

Calibrating Likelihoods towards Consistency in Summarization Models

Abstractive Text Summarization Using the BRIO Training Paradigm

GUMSum: Multi-Genre Data and Evaluation for English Abstractive Summarization


My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

International Conference on Learning Representations

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series

IEEE transactions on neural networks and learning systems

adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detection

Autoencoding Under Normalization Constraints

tegdet: An extensible Python Library for Anomaly Detection using Time-Evolving Graphs


Likelihood-based Selective Sweep Detection

A survey of methods and tools to detect recent and strong positive selection

Journal of biological research (Thessalonike, Greece)

Detecting Positive Selection in Populations Using Genetic Data

Genomic Targets of Positive Selection in Giant Mice from Gough Island


Large-scale, Informative, and Diverse Multi-round Chat Data (and Models)

Instruction Tuning for Large Language Models: A Survey

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources

A Survey of Reasoning with Foundation Models

Chinese Open Instruction Generalist: A Preliminary Release

LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language

LLaMA-Omni: Seamless Speech Interaction with Large Language Models


Named Entity Recognition (LSTM + CRF) - Tensorflow

Recurrent Neural Network Grammars

End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Sentence-Level Resampling for Named Entity Recognition

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Augmenting a De-identification System for Swedish Clinical Text Using Open Resources and Deep Learning

De-identifying Free Text of Japanese Dummy Electronic Health Records

Empirical Methods in Natural Language Processing

pioNER: Datasets and Baselines for Armenian Named Entity Recognition

2018 Ivannikov Ispras Open Conference (ISPRAS)

Persian Causality Corpus (PerCause) and the Causality Detection Benchmark


Neural Open Information Extraction

A Survey on Open Information Extraction

Language Models are Open Knowledge Graphs

Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence

Span Model for Open Information Extraction on Accurate Corpus

DeepStruct: Pretraining of Language Models for Structure Prediction

Bringing Stories Alive: Generating Interactive Fiction Worlds

Zero-Shot Information Extraction as a Unified Text-to-Triple Translation

Pre-training to Match for Unified Low-shot Relation Extraction

Summarizing Unstructured Logs in Online Services


RDF2Vec: RDF graph embeddings and their applications

Semantic similarity and machine learning with ontologies

OWL2Vec*: Embedding of OWL Ontologies

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

pyRDF2Vec: A Python Implementation and Extension of RDF2Vec

Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs

More is not Always Better: The Negative Impact of A-box Materialization on RDF2vec Knowledge Graph Embeddings

Supervised Biomedical Semantic Similarity

Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts

Do Similar Entities have Similar Embeddings?


The versatile ocean simulator, in pure Python, powered by JAX.

Veros v0.1 – a fast and versatile ocean simulator in pure Python

Fast, Cheap, and Turbulent—Global Ocean Modeling With GPU Acceleration in Python

Journal of Advances in Modeling Earth Systems

Ice core evidence for major volcanic eruptions at the onset of Dansgaard-Oeschger warming events

Differentiable Physics: A Position Piece


ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization :helicopter: annotates 1652 buildings in 72 universities around the world.

Random Erasing Data Augmentation

Fine-tuning CNN Image Retrieval with No Human Annotation

Dual-path Convolutional Image-Text Embeddings with Instance Loss

ACM Transactions on Multimedia Computing, Communications, and Applications

Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective

Multiple-environment Self-adaptive Network for Aerial-view Geo-localization

MuirBench: A Comprehensive Benchmark for Robust Multi-image
  Understanding

Visual and Object Geo-localization: A Comprehensive Survey

Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatially Relation Matching


Nishang - Offensive PowerShell for red team, penetration testing and offensive security.

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

Hijacking .NET to Defend PowerShell

Evaluation of Local Security Event Management System vs. Standard Antivirus Software


Generally Applicable Atomic-Charge Dependent London Dispersion Correction

Assessing Conformer Energies using Electronic Structure and Machine Learning Methods

International Journal of Quantum Chemistry

High‐throughput screening of spin states for transition metal complexes with spin‐polarized extended tight‐binding methods

libMBD: A general-purpose package for scalable quantum many-body dispersion calculations

CO Adsorption on the Surface of MgO from Periodic Coupled-Cluster Theory with Local Natural Orbitals: Adding to the Consensus


Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard

FlauBERT: Unsupervised Language Model Pre-training for French

IndoLEM and IndoBERT: A Benchmark Dataset and Pre-trained Language Model for Indonesian NLP

Visual Prompt Tuning for Few-Shot Text Classification

International Conference on Computational Linguistics


GTDB-Tk: a toolkit for assigning objective taxonomic classifications to bacterial and archaeal genomes.

A unified catalog of 204,938 reference genomes from the human gut microbiome

New insights from uncultivated genomes of the global human gut microbiome

GTDB-Tk v2: memory friendly classification with the genome taxonomy database

AnnoTree: visualization and exploration of a functionally annotated microbial tree of life

Metabolic potential of uncultured bacteria and archaea associated with petroleum seepage in deep-sea sediments

Single cell analyses reveal contrasting life strategies of the two main nitrifiers in the ocean

MetaCHIP: community-level horizontal gene transfer identification through the combination of best-match and phylogenetic approaches

Large scale genome reconstructions illuminate Wolbachia evolution

A multiproducer microbiome generates chemical diversity in the marine sponge Mycale hentscheli

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

Effect of Long-Term Farming Practices on Agricultural Soil Microbiome Members Represented by Metagenomically Assembled Genomes (MAGs) and Their Predicted Plant-Beneficial Genes


OpenABM-Covid19: an agent-based model for modelling the spread of SARS-CoV-2 (coronavirus) and control interventions for the Covid-19 epidemic

OpenABM-Covid19—An agent-based model for non-pharmaceutical interventions against COVID-19 including contact tracing

Modeling the effect of exposure notification and non-pharmaceutical interventions on COVID-19 transmission in Washington state

The COVID-19 response illustrates that traditional academic reward structures and metrics do not reflect crucial contributions to modern science

COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing

The `how' matters: A simulation-based assessment of the potential contributions of LFD tests for school reopening in England

Proactive Contact Tracing

Protect Your Score: Contact Tracing With Differential Privacy Guarantees

Time-varying Graph Representation Learning via Higher-Order Skip-Gram with Negative Sampling


PECOS - Prediction for Enormous and Correlated Spaces

Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction

Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification

Extreme Multi-label Learning for Semantic Matching in Product Search

Extreme Zero-Shot Learning for Extreme Text Classification

Efficient Tuning and Inference for Large Language Models on Textual Graphs

Extreme Multi-Label Classification with Label Masking for Product Attribute Value Extraction

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

Session-Aware Query Auto-completion using Extreme Multi-Label Ranking

Prompt-based Node Feature Extractor for Few-shot Learning on Text-Attributed Graphs

A Survey on Extreme Multi-label Learning

UniGraph: Learning a Cross-Domain Graph Foundation Model From Natural
  Language


Static Type Checker for Python

Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python

Proceedings of the 44th International Conference on Software Engineering

CodePlan: Repository-level Coding using LLMs and Planning

Static inference meets deep learning

Generative Type Inference for Python

Gradual Soundness: Lessons from Static Python

Enhancing Comprehension and Navigation in Jupyter Notebooks with Static Analysis

Data Leakage in Notebooks: Static Detection and Better Processes

Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs

HiTyper: A Hybrid Static Type Inference Framework with Neural Prediction.

Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming


Optimus: the first large-scale pre-trained VAE language model

Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space

AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for Language Modeling

Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks

Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders

Exploiting Inductive Bias in Transformers for Unsupervised Disentanglement of Syntax and Semantics with VAEs

Discriminative and Generative Transformer-based Models For Situation Entity Classification

LlaMaVAE: Guiding Large Language Model Generation via Continuous Latent Sentence Spaces


Locating and editing factual associations in GPT (NeurIPS 2022)

Locating and Editing Factual Associations in GPT

Editing Factual Knowledge in Language Models

Knowledge Neurons in Pretrained Transformers

Fast Model Editing at Scale

Can We Edit Factual Knowledge by In-Context Learning?

Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors

EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models

Untying the Reversal Curse via Bidirectional Language Model Editing

Model Editing Can Hurt General Abilities of Large Language Models

WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of
  Large Language Models


R client for the REACTOME Analysis Service for comparative multi-omics gene set analysis

ReactomeGSA - Efficient Multi-Omics Comparative Pathway Analysis

Single-cell transcription analysis reveals the tumor origin and heterogeneity of human bilateral renal clear cell carcinoma


A Model for Natural Language Attack on Text Classification and Inference

Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment

BERT-ATTACK: Adversarial Attack Against BERT Using BERT

Contextualized Perturbation for Textual Adversarial Attack

Towards a Robust Deep Neural Network in Texts: A Survey

Token-Aware Virtual Adversarial Training in Natural Language Understanding

Defending Pre-trained Language Models from Adversarial Word Substitution Without Performance Sacrifice

Adversarial Stylometry in the Wild: Transferable Lexical Substitution Attacks on Author Profiling

Authorship Obfuscation in Multilingual Machine-Generated Text Detection

Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations

Adversarial Robustness of Visual Dialog


R functions for processing individual tree TLS point clouds

Estimation of Forest Growing Stock Volume with UAV Laser Scanning Data: Can It Be Done without Field Data?


VideoX: a collection of video cross-modal models

Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language

Expanding Language-Image Pretrained Models for General Video Recognition

SeqTrack: Sequence to Sequence Learning for Visual Object Tracking

Multi-Scale 2D Temporal Adjacency Networks for Moment Localization With Natural Language

IEEE transactions on pattern analysis and machine intelligence

A Survey on Video Moment Localization

Learning Sparse 2D Temporal Adjacent Networks for Temporal Action Localization

Multi-Scale 2D Temporal Adjacent Networks for Moment Localization with Natural Language

VGMShield: Mitigating Misuse of Video Generative Models


A scene text recognition toolbox based on PyTorch

An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

ASTER: An Attentional Scene Text Recognizer with Flexible Rectification

Robust Scene Text Recognition with Automatic Rectification

Rosetta: Large scale system for text detection and recognition in images

Towards Accurate Scene Text Recognition with Semantic Reasoning Networks

On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention

Revisiting Classification Perspective on Scene Text Recognition


Annotate quickly images.

Surgical Data Science -- from Concepts toward Clinical Translation

Deep Placental Vessel Segmentation for Fetoscopic Mosaicking

Medical Image Computing and Computer-Assisted Intervention

Affordance-Based Grasping Point Detection Using Graph Convolutional Networks for Industrial Bin-Picking Applications

Serial cryoFIB/SEM Reveals Cytoarchitectural Disruptions in Leigh Syndrome Patient Cells

Artificial Intelligence-driven Image Analysis of Bacterial Cells and Biofilms

Pavement Distress Detection and Segmentation using YOLOv4 and DeepLabv3 on Pavements in the Philippines

Evaluation of Open-Source and Pre-Trained Deep Convolutional Neural Networks Suitable for Player Detection and Motion Analysis in Squash

Behind-The-Scenes (BTS): Wiper-Occlusion Canceling for Advanced Driver Assistance Systems in Adverse Rain Environments

Methods for the frugal labeler: Multi-class semantic segmentation on heterogeneous labels

Improving Robot Perception Skills Using a Fast Image-Labelling Method with Minimal Human Intervention


Creative Commons Attribution 4.0 International

Name Reaction Ontology

Linking the Neural Machine Translation and the Prediction of Organic Chemistry Reactions

Inferring Experimental Procedures from Text-Based Representations of Chemical Reactions

NFDI4Chem - Towards a National Research Data Infrastructure for Chemistry in Germany

Bio-SimVerb and Bio-SimLex: wide-coverage evaluation sets of word similarity in biomedicine

Overview of chemical ontologies


Machine Learning for High Energy Physics.

Machine Learning in High Energy Physics Community White Paper

Test of lepton universality in b → s ℓ^+ ℓ^- decays

Analysis of neutral B-meson decays into two muons

Reweighting with Boosted Decision Trees

Amplitude analysis of B^0_s→ K^0_S K^±π^∓ decays

Measurement of CP violation in B^0→ D^*± D^∓ decays

Updated measurement of time-dependent
    CP
-violating observables in
    B ^0_s→ J/ψ K^+ K^-
 decays

Robust Jet Classifiers through Distance Correlation

Observation of the semileptonic decay
    B^+→ ppμ^+ν_μ

Search for the doubly charmed baryon
    _cc^+
 in the
    _c^+π^-π^+
 final state


Gaussian Process package based on data augmentation, sparsity and natural gradients

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

Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation

Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation

Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods


A plug-and-play library for parameter-efficient-tuning (Delta Tuning)

Parameter-efficient fine-tuning of large-scale pre-trained language models

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models

BBTv2: Towards a Gradient-Free Future with Large Language Models

When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods

A Contrastive Cross-Channel Data Augmentation Framework for Aspect-based Sentiment Analysis

COPEN: Probing Conceptual Knowledge in Pre-trained Language Models

Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts

Improving Prompt Tuning with Learned Prompting Layers

OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models


ruptures: change point detection in Python

Comprehensive Process Drift Detection with Visual Analytics

Visual Drift Detection for Event Sequence Data of Business Processes

IEEE transactions on visualization and computer graphics

Sudden Attention Shifts on Wikipedia During the COVID-19 Crisis

Sudden Attention Shifts on Wikipedia Following COVID-19 Mobility Restrictions

Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data

Smoothing Splines for Discontinuous Signals

Tonal harmony, the topology of dynamical score networks and the Chinese postman problem

Symbolic Music Structure Analysis with Graph Representations and Changepoint Detection Methods

Estimation and Interpretation of Machine Learning Models with Customized Surrogate Model


NASBench: A Neural Architecture Search Dataset and Benchmark

NAS-Bench-101: Towards Reproducible Neural Architecture Search

D-VAE: A Variational Autoencoder for Directed Acyclic Graphs

How Powerful are Performance Predictors in Neural Architecture Search?

A Comprehensive Survey on Hardware-Aware Neural Architecture Search

Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?

Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels

Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search

Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search

NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies

Generic Neural Architecture Search via Regression


A pytorch-version implementation codes of paper:  "BMN: Boundary-Matching Network for Temporal Action Proposal Generation",   which is accepted in ICCV 2019.

Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100

Boundary-sensitive Pre-training for Temporal Localization in Videos

Low-Fidelity Video Encoder Optimization for Temporal Action Localization

Structured Attention Composition for Temporal Action Localization

A Comprehensive Review on Temporal-Action Proposal Generation


Code for our ICCV 2021 Paper "OadTR: Online Action Detection with Transformers".

Video-Based Automatic Baby Motion Analysis for Early Neurological Disorder Diagnosis: State of the Art and Future Directions

Continual Transformers: Redundancy-Free Attention for Online Inference


pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

Automatic Fact-guided Sentence Modification

Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View

CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems

Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions

Nutri-bullets Hybrid: Consensual Multi-document Summarization

Abstractive Summarization Guided by Latent Hierarchical Document Structure

Abstractive summarization of hospitalisation histories with transformer networks

A Corpus of Very Short Scientific Summaries

Conference on Computational Natural Language Learning


R package for detecting Twitter bots via machine learning

Correction to: Disinformation in Open Online Media

Multidisciplinary International Symposium on Disinformation in Open Online Media

The influence of fake accounts on sentiment analysis related to COVID-19 in Indonesia

Framing of and Attention to COVID-19 on Twitter: Thematic Analysis of Hashtags

The Mutual Influence of the World Health Organization (WHO) and Twitter Users During COVID-19: Network Agenda-Setting Analysis

Twitter Spam and False Accounts Prevalence, Detection and Characterization: A Survey

Anonymous Real-Time Analytics Monitoring Solution for Decision Making Supported by Sentiment Analysis

Promoting and countering misinformation during Australia’s 2019–2020 bushfires: a case study of polarisation

Pooches on a platform: Text mining twitter for sector perceptions of dogs during a global pandemic


UFold: fast and accurate RNA secondary structure prediction with deep learning

Deep learning models for RNA secondary structure prediction (probably) do not generalize across families

Recent trends in RNA informatics: a review of machine learning and deep learning for RNA secondary structure prediction and RNA drug discovery

Deep Learning in RNA Structure Studies


Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Deep Learning on Graphs: A Survey

Graph Neural Network for Traffic Forecasting: A Survey

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values

Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions

IEEE Transactions on Intelligent Transportation Systems

How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey

ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed

International Conference on Information and Knowledge Management


Lung medical image analysis and visualisation software for Matlab.

CT image segmentation for inflamed and fibrotic lungs using a multi-resolution convolutional neural network

Spectral graph theory efficiently characterizes ventilation heterogeneity in lung airway networks

Tapering Analysis of Airways with Bronchiectasis

A Fissure-Aided Registration Approach for Automatic Pulmonary Lobe Segmentation Using Deep Learning

Quantitative Analysis of Radiation-Associated Parenchymal Lung Change

Evaluation of automated airway morphological quantification for assessing fibrosing lung disease

In Silico Ventilation Within the Dose-Volume is Predictive of Lung Function Post-radiation Therapy in Patients with Lung Cancer

Development of a Multi-Task Learning V-Net for Pulmonary Lobar Segmentation on Computed Tomography and Application to Diseased Lungs

Right Ventricular and Pulmonary Computed Tomography Assessments in Paradoxical Low-Flow Low-Gradient Aortic Stenosis Undergoing Transcatheter Aortic Valve Replacement

Structural heart : the journal of the Heart Team


Image Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018

Controllable and Progressive Image Extrapolation

Iterative facial image inpainting based on an encoder-generator architecture

Toward Open-World Multimedia Forensics Through Media Signature Encoding


Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.

The regression Tsetlin machine: a novel approach to interpretable nonlinear regression

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

Tsetlin Machine Embedding: Representing Words Using Logical Expressions


Automated de novo assembly of whole chloroplast genomes.

GetOrganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes

Chloroplot: An Online Program for the Versatile Plotting of Organelle Genomes

Practical considerations for plant phylogenomics

Disentangling Sources of Gene Tree Discordance in Phylogenomic Data Sets: Testing Ancient Hybridizations in Amaranthaceae s.l.

Resolving the backbone of the Brassicaceae phylogeny for investigating trait diversity

Phylogenomic Relationships of Diploids and the Origins of Allotetraploids in Dactylorhiza (Orchidaceae)

A systematic comparison of chloroplast genome assembly tools

Phylogenomic discordance suggests polytomies along the backbone of the large genus Solanum

Molecular phylogenomics of the tribe Shoreeae (Dipterocarpaceae) using whole plastid genomes

Plastome Rearrangements in the “Adenocalymma-Neojobertia” Clade (Bignonieae, Bignoniaceae) and Its Phylogenetic Implications


Comparative performance of the BGI and Illumina sequencing technology for single-cell RNA-sequencing

Preprocessing choices affect RNA velocity results for droplet scRNA-seq data

An NKX2-1/ERK/WNT feedback loop modulates gastric identity and response to targeted therapy in lung adenocarcinoma

Analysis of cell-associated DENV RNA by oligo(dT) primed 5’ capture scRNAseq

Single-cell transcriptome sequencing allows genetic separation, characterization and identification of individuals in multi-person biological mixtures

Evaluation of genetic demultiplexing of single-cell sequencing data from model species

Bulk and single-cell alternative splicing analyses reveal roles of TRA2B in myogenic differentiation.


MTCNN face detection implementation for TensorFlow, as a PIP package.

TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains

The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stress

Zooming Into Video Conferencing Privacy

Deep Insights of Deepfake Technology : A Review

The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation

Incremental cluster validity index-guided online learning for performance and robustness to presentation order

Comparative Analysis of Supervised and Unsupervised Approaches Applied to Large-Scale "In The Wild" Face Verification

On indirect assessment of heart rate in video

State of the Art of Quality Assessment of Facial Images

A Systematic Review of Facial Expression Detection Methods


Python package for signal processing, with emphasis on iterative methods

Score-based diffusion models for accelerated MRI

PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated MRI

B-Spline Parameterized Joint Optimization of Reconstruction and K-Space Trajectories (BJORK) for Accelerated 2D MRI

Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

Stability of conventional and machine learning-based tumor auto-segmentation techniques using undersampled dynamic radial bSSFP acquisitions on a 0.35 T hybrid MR-linac system.

Blind Primed Supervised (BLIPS) Learning for MR Image Reconstruction

Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning

Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction

Learning Task-Specific Strategies for Accelerated MRI


A Reference Open Source Controller for Wind Turbines

Comparison of loads from HAWC2 and OpenFAST for the IEA Wind 15 MW Reference Wind Turbine

SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2020), PTS 1-5

A surrogate-model-based approach for estimating the first and second-order moments of offshore wind power

Land-based wind turbines with flexible rail transportable blades – Part I: Conceptual design and aeroservoelastic performance

Distributed Aerodynamic Control using Active Trailing-Edge Flaps for Large Wind Turbines

Damping analysis of Floating Offshore Wind Turbine (FOWT): a new control strategy reducing the platform vibrations

A Switching Thrust Tracking Controller for Load Constrained Wind Turbines

Active power control of wind farms: an instantaneous approach on waked conditions


:dragon: Compute and work with indices of effect size and standardized parameters

effectsize: Estimation of Effect Size Indices and Standardized Parameters

Soil Management Effects on Soil Water Erosion and Runoff in Central Syria—A Comparative Evaluation of General Linear Model and Random Forest Regression

Reactive, Agentic, Apathetic, or Challenged? Aging, Emotion, and Coping During the COVID-19 Pandemic

Plasma GFAP associates with secondary Alzheimer's pathology in Lewy body disease

A Model of Psychological Mechanisms of Inclusive Music-Making: Empowerment of Marginalized Young People

Adaptation and validation of two autism-related measures of skills and quality of life in Ethiopia

Autism : the international journal of research and practice

Effects of dietary fatty acids on the social life of male Guinea pigs from adolescence to adulthood

Age-related decline in cortical inhibitory tone strengthens motor memory

Pupillary Responses to Faces Are Modulated by Familiarity and Rewarding Context


Nikto web server scanner

PentestGPT: An LLM-empowered Automatic Penetration Testing Tool

Open Source Solutions for Vulnerability Assessment: A Comparative Analysis


Memkind is an easy-to-use, general-purpose allocator which helps to fully utilize various kinds of memory available in the system, including DRAM, NVDIMM, and HBM

Empirical Performance Analysis of Collective Communication for Distributed Deep Learning in a Many-Core CPU Environment

Analysis and Optimization of GNN-Based Recommender Systems on Persistent Memory


Windowed Adaptive Trimming for fastq files using quality

Analysis of the Human Tissue-specific Expression by Genome-wide Integration of Transcriptomics and Antibody-based Proteomics

SOAPnuke: a MapReduce acceleration-supported software for integrated quality control and preprocessing of high-throughput sequencing data

Thousands of microbial genomes shed light on interconnected biogeochemical processes in an aquifer system

Swarm: robust and fast clustering method for amplicon-based studies

Characterization of the Gut Microbiome Using 16S or Shotgun Metagenomics

Gossypium barbadense and Gossypium hirsutum genomes provide insights into the origin and evolution of allotetraploid cotton

Microbes in the neonatal intensive care unit resemble those found in the gut of premature infants

Metabolic network analysis reveals microbial community interactions in anammox granules

DRAM for distilling microbial metabolism to automate the curation of microbiome function

Subsistence strategies in traditional societies distinguish gut microbiomes


How Powerful are Performance Predictors in Neural Architecture Search?

NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing

Generic Neural Architecture Search via Regression

NAS-Bench-x11 and the Power of Learning Curves


[ICCV 2021 Oral] NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo

StructNeRF: Neural Radiance Fields for Indoor Scenes With Structural Hints

Depth-Guided Optimization of Neural Radiance Fields for Indoor Multi-View Stereo


PyTorch code of my ICDAR 2021 paper Vision Transformer for Fast and Efficient Scene Text Recognition (ViTSTR)

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

Image-based Automatic Dial Meter Reading in Unconstrained Scenarios

Do We Train on Test Data? The Impact of Near-Duplicates on License Plate Recognition

Leveraging Model Fusion for Improved License Plate Recognition


[ICLR 2024] Official implementation of "  Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

Transformers in Time Series: A Survey

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook

Foundation Models for Time Series Analysis: A Tutorial and Survey

Empowering Time Series Analysis with Large Language Models: A Survey

S^2IP-LLM: Semantic Space Informed Prompt Learning with LLM
  for Time Series Forecasting

PowerPM: Foundation Model for Power Systems


A general-purpose neural semantic parser for mapping natural language queries into machine executable code

TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation

StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing

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

Meeting of the Association for Computational Linguistics

Incorporating Domain Knowledge through Task Augmentation for Front-End JavaScript Code Generation

Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and
  Understanding -- A Survey

A Globally Normalized Neural Model for Semantic Parsing


Appraise code used as part of WMT21 human evaluation campaign

Findings of the 2020 Conference on Machine Translation (WMT20)

Empirical Methods in Natural Language Processing

Findings of the IWSLT 2022 Evaluation Campaign

Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)

Findings of the Second WMT Shared Task on Sign Language Translation (WMT-SLT23)

Proceedings of the Eighth Conference on Machine Translation

A Benchmark for Evaluating Machine Translation Metrics on Dialects without Standard Orthography


Benchmarking large language models' complex reasoning ability with chain-of-thought prompting

Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback

Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance

L-Eval: Instituting Standardized Evaluation for Long Context Language Models

LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

An In-depth Look at Gemini's Language Abilities

No Token Left Behind: Reliable KV Cache Compression via Importance-Aware
  Mixed Precision Quantization

Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models


Fast implementation of the edit distance(Levenshtein distance)

Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation

TFBSshape: an expanded motif database for DNA shape features of transcription factor binding sites

The Golden Eras of Graphene Science and Technology: Bibliographic Evidences From Journal and Patent Publications

ngsComposer: an automated pipeline for empirically based NGS data quality filtering

Authorship Obfuscation in Multilingual Machine-Generated Text Detection

Multi-Task Learning for Argumentation Mining

Covering a sentence in form and meaning with fewer retrieved sentences

Pacific Asia Conference on Language, Information and Computation

GLOBE: A High-quality English Corpus with Global Accents for Zero-shot
  Speaker Adaptive Text-to-Speech

Phone-ing it in: Towards Flexible Multi-Modal Language Model Training by Phonetic Representations of Data

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)


A Package for Cas9-Enabled Single Cell Lineage Tracing Tree Reconstruction

Inference of single-cell phylogenies from lineage tracing data using Cassiopeia

Coordinated inheritance of extrachromosomal DNA species in human cancer cells

bioRxiv : the preprint server for biology

Inference of Single-Cell Phylogenies from Lineage Tracing Data

Inference of single-cell phylogenies from lineage tracing data with Cassiopeia

Zenodo (CERN European Organization for Nuclear Research)


PyTorch Extension Library of Optimized Scatter Operations

Fast Graph Representation Learning with PyTorch Geometric

HyGCN: A GCN Accelerator with Hybrid Architecture

Deep Policy Dynamic Programming for Vehicle Routing Problems

PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting

Advances in Geographic Information Systems

Geometry-Informed Neural Operator for Large-Scale 3D PDEs

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Dynamic 3D Scene Analysis by Point Cloud Accumulation

KALA: Knowledge-Augmented Language Model Adaptation

Composite Style Pixel and Point Convolution-Based Deep Fusion Neural Network Architecture for the Semantic Segmentation of Hyperspectral and Lidar Data

Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying Glass


Processing pipelines for the HCP

A multi-modal parcellation of human cerebral cortex

Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank

Quantitative mapping of the per‐axon diffusion coefficients in brain white matter

Effects of a Brain-Computer Interface With Virtual Reality (VR) Neurofeedback: A Pilot Study in Chronic Stroke Patients

Waves of Maturation and Senescence in Micro-structural MRI Markers of Human Cortical Myelination over the Lifespan

Ketamine, but Not the NMDAR Antagonist Lanicemine, Increases Prefrontal Global Connectivity in Depressed Patients

A cortical surface-based geodesic distance package for Python

Open and reproducible neuroimaging: From study inception to publication

A comparison of in vivo MRI based cortical myelin mapping using T1w/T2w and R1 mapping at 3T

A whole-cortex probabilistic diffusion tractography connectome


Multivariate Imputation by Chained Equations

Multiple imputation using chained equations: Issues and guidance for practice

Learning Individual Models for Imputation

R-miss-tastic: a unified platform for missing values methods and workflows

Impact of sleep problems on daytime function in school life: a cross-sectional study involving Japanese university students

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder

Dementia Prediction on OASIS Dataset using Supervised and Ensemble Learning Techniques

International Journal of Engineering and Advanced Technology

Solving the many-variables problem in MICE with principal component regression

A systematic review and meta-analysis of pathogen reduction in onsite sanitation systems


Program for determining types of files for Windows, Linux and MacOS.

Longitudinal Study of the Prevalence of Malware Evasive Techniques

Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance

Mal2GCN: A Robust Malware Detection Approach Using Deep Graph Convolutional Networks With Non-Negative Weights

Fast and Efficient Malware Detection with Joint Static and Dynamic Features Through Transfer Learning

Analysis of Machine Learning Approaches to Packing Detection


ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation

ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction

PPT: Token Pruning and Pooling for Efficient Vision Transformers

PMG : Personalized Multimodal Generation with Large Language Models

DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation

DECO: Query-Based End-to-End Object Detection with ConvNets

SLAB: Efficient Transformers with Simplified Linear Attention and
  Progressive Re-parameterized Batch Normalization


QTL analysis software for high-dimensional data and complex cross designs

R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populations

Cleaning Genotype Data from Diversity Outbred Mice

QTLViewer: an interactive webtool for genetic analysis in the Collaborative Cross and Diversity Outbred mouse populations

A generic hidden Markov model for multiparent populations


Representation Learning of Knowledge Graphs with Entity Descriptions (AAAI'16)

THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE

Knowledge Graph Representation with Jointly Structural and Textual Encoding

Accurate Text-Enhanced Knowledge Graph Representation Learning

North American Chapter of the Association for Computational Linguistics

Text-Graph Enhanced Knowledge Graph Representation Learning


中文法律对话语言模型

LawBench: Benchmarking Legal Knowledge of Large Language Models

Large Language Models in Law: A Survey

LAiW: A Chinese Legal Large Language Models Benchmark (A Technical Report)

AviationGPT: A Large Language Model for the Aviation Domain

LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model

Leveraging Large Language Models for Relevance Judgments in Legal Case
  Retrieval

MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models
  with Sparse Mixture of Low-Rank Adapter Experts


Excimontec is an open-source KMC simulation software package for modeling the optoelectronic processes in organic semiconductor materials and devices, such as OPVs, OLEDs, and more.

Theoretical description of charge transport in disordered organic semiconductors

Developing understanding of organic photovoltaic devices: kinetic Monte Carlo models of geminate and non-geminate recombination, charge transport and charge extraction

Simulating charge transport in organic semiconductors and devices: a review

Reports on progress in physics. Physical Society (Great Britain)

Advances in modeling the physics of disordered organic electronic devices

Handbook of Organic Materials for Electronic and Photonic Devices

Excimontec v1.0: An Open-Source Software Tool for Kinetic Monte Carlo Simulations of Organic Electronic Devices


Rigorous computation of the endomorphism ring of a Jacobian

Sato-Tate groups of abelian threefolds

An inverse Jacobian algorithm for Picard curves

Isogenous hyperelliptic and non-hyperelliptic Jacobians with maximal complex multiplication


Program for estimating πN/πS, dN/dS, and other diversity measures from next-generation sequencing data

Transmission of SARS-CoV-2 in domestic cats imposes a narrow bottleneck

Dynamically evolving novel overlapping gene as a factor in the SARS-CoV-2 pandemic

Quantifying within-host diversity of H5N1 influenza viruses in humans and poultry in Cambodia

Genetic variation of staphylococcal LukAB toxin determines receptor tropism

Selective constraint and adaptive potential of West Nile virus within and among naturally infected avian hosts and mosquito vectors

Phylogenomic Analysis of Human Papillomavirus Type 31 and Cervical Carcinogenesis: A Study of 2093 Viral Genomes

Limited SARS-CoV-2 diversity within hosts and following passage in cell culture

Vaccination decreases the risk of influenza A virus reassortment but not genetic variation in pigs

Divergent Pathogenesis and Transmission of Highly Pathogenic Avian Influenza A(H5N1) in Swine

Novel quantitative trait loci from an interspecific Brassica rapa derivative improve pod shatter resistance in Brassica napus


DocBank: A Benchmark Dataset for Document Layout Analysis

LayoutLM: Pre-training of Text and Layout for Document Image Understanding

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

A Benchmark of PDF Information Extraction Tools Using a Multi-task and Multi-domain Evaluation Framework for Academic Documents


Ultra-faint galaxy likelihood toolkit

Stellar Streams Discovered in the Dark Energy Survey

Milky Way Satellite Census. I. The Observational Selection Function for Milky Way Satellites in DES Y3 and Pan-STARRS DR1

AN ULTRA-FAINT GALAXY CANDIDATE DISCOVERED IN EARLY DATA FROM THE MAGELLANIC SATELLITES SURVEY

Proper motions of Milky Way Ultra-Faint satellites with Gaia DR2 × DES DR1

The First Tidally Disrupted Ultra-faint Dwarf Galaxy?: A Spectroscopic Analysis of the Tucana III Stream

Two Ultra-faint Milky Way Stellar Systems Discovered in Early Data from the DECam Local Volume Exploration Survey

Discovery of an Ultra-faint Stellar System near the Magellanic Clouds with the DECam Local Volume Exploration Survey

Eridanus IV: an Ultra-faint Dwarf Galaxy Candidate Discovered in the DECam Local Volume Exploration Survey

Pegasus IV: Discovery and Spectroscopic Confirmation of an Ultra-faint Dwarf Galaxy in the Constellation Pegasus

A Faint Halo Star Cluster Discovered in the Blanco Imaging of the Southern Sky Survey


Fast and differentiable MS-SSIM and SSIM for pytorch.

Image sensing with multilayer nonlinear optical neural networks

Heterogeneous Face Recognition via Face Synthesis With Identity-Attribute Disentanglement

IEEE Transactions on Information Forensics and Security

Improving Adversarial Attacks on Latent Diffusion Model

HyperHyperNetworks for the Design of Antenna Arrays

What You Hear Is What You See: Audio Quality Metrics From Image Quality Metrics


Long Range Arena for Benchmarking Efficient Transformers

FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Long Range Arena: A Benchmark for Efficient Transformers

Random Feature Attention

Flowformer: Linearizing Transformers with Conservation Flows

H-Transformer-1D: Fast One-Dimensional Hierarchical Attention for Sequences

Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Leveraging redundancy in attention with Reuse Transformers

On Learning the Transformer Kernel

PoNet: Pooling Network for Efficient Token Mixing in Long Sequences

Sparse Universal Transformer


nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

nnDetection: A Self-configuring Method for Medical Object Detection

Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details

Deep learning – promises for 3D nuclear imaging: a guide for biologists

AI-Supported Comprehensive Detection and Quantification of Biomarkers of Subclinical Widespread Diseases at Chest CT for Preventive Medicine

BugNIST -- A New Large Scale Volumetric 3D Image Dataset for Classification and Detection


Python client for iNaturalist


ChiantiPy is a python package to calculate the radiative properties of astrophysical plasmas based on the CHIANTI atomic database

CHIANTI-An Atomic Database for Emission Lines. XV. Version 9, Improvements for the X-Ray Satellite Lines

The Astrophysical Journal Supplement Series

AU Microscopii in the Far-UV: Observations in Quiescence, during Flares, and Implications for AU Mic b and c

Hydrodynamic Atmospheric Escape in HD 189733 b: Signatures of Carbon and Hydrogen Measured with the Hubble Space Telescope

Modelling thermochemical processes in protoplanetary discs I: numerical methods

Monthly Notices of the Royal Astronomical Society

R-matrix Electron-impact Excitation Data for the H- and He-like Ions with Z = 6−30


A tool for profiling long STRs from short reads

Profiling the genome-wide landscape of tandem repeat expansions

Genome-wide identification of tandem repeats associated with splicing variation across 49 tissues in humans

A novel quantitative trait locus implicates Msh3 in the propensity for genome-wide short tandem repeat expansions in mice

A comparison of software for analysis of rare and common short tandem repeat (STR) variation using human genome sequences from clinical and population-based samples

Insights from a genome-wide truth set of tandem repeat variation

A genome-wide spectrum of tandem repeat expansions in 338,963 humans


Easily add significance brackets to your ggplots

Abstract IA20: Checkpoint blockade–induced dermatitis and colitis are dominated by tissue-resident memory T cells and Th1/Tc1 cytokines

Weighted gene co-expression network analysis of the association between upregulated AMD1, EN1 and VGLL1 and the progression and poor prognosis of breast cancer

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

The variant rs77559646 associated with aggressive prostate cancer disrupts ANO7 mRNA splicing and protein expression

Painting of Fourth and the X-Linked 1.688 Satellite in D. melanogaster Is Involved in Chromosome-Wide Gene Regulation

The Spatial Features and Temporal Changes in the Gut Microbiota of a Healthy Chinese Population


A Modern Platform for Planning High-Renewable Power Systems


Codebase for Image Classification Research, written in PyTorch.

Deep Residual Learning for Image Recognition

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Aggregated Residual Transformations for Deep Neural Networks

Designing Network Design Spaces

Exploring Randomly Wired Neural Networks for Image Recognition

On Network Design Spaces for Visual Recognition

Fast and Accurate Model Scaling

Are Labels Necessary for Neural Architecture Search?

Generic Neural Architecture Search via Regression

Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification


Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.

Coresets for Data-efficient Training of Machine Learning Models

GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training

Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision

RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning

AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning

MILO: Model-Agnostic Subset Selection Framework for Efficient Model Training and Tuning

Data-Efficient Training of CNNs and Transformers with Coresets: A Stability Perspective


Multi-purpose lens modeling software package

TDCOSMO. IX. Systematic comparison between lens modelling software programs: time delay prediction for WGD 2038-4008

LensWatch. I. Resolved HST Observations and Constraints on the Strongly Lensed Type Ia Supernova 2022qmx ("SN Zwicky")

Measuring line-of-sight shear with Einstein rings: a proof of concept

Project Dinos I: A joint lensing–dynamics constraint on the deviation from the power law in the mass profile of massive ellipticals

The impact of human expert visual inspection on the discovery of strong gravitational lenses

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

JWST lensed quasar dark matter survey I: Description and First Results

A large population of strongly lensed faint submillimetre galaxies in future dark energy surveys inferred from JWST imaging

Varstrometry for Off-nucleus and Dual Subkiloparsec AGN (VODKA). SDSS J1608+2716: A Subarcsecond Quadruply Lensed Quasar at z = 2.575

The discovery of a z=0.7092 OH megamaser with the MIGHTEE survey

Accelerating galaxy dynamical modeling using a neural network for joint lensing and kinematic analyses


LSD-SLAM

CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction

A Multi-Sensorial Simultaneous Localization and Mapping (SLAM) System for Low-Cost Micro Aerial Vehicles in GPS-Denied Environments

Real-time Monocular Visual Odometry for Turbid and Dynamic Underwater Environments

SDVL: Efficient and Accurate Semi-Direct Visual Localization

Bio-inspired visual self-localization in real world scenarios using Slow Feature Analysis

Common Data Fusion Framework: An open-source Common Data Fusion Framework for space robotics

International Journal of Advanced Robotic Systems

Advanced Algorithms of Collision Free Navigation and Flocking for Autonomous UAVs


Dump1090 is a simple Mode S decoder for RTLSDR devices

Nanosecond-level time synchronization of autonomous radio detector stations for extensive air showers

Estimation of aircraft distances using transponder signal strength information

Original and Low-Cost ADS-B System to Fulfill Air Traffic Safety Obligations during High Power LIDAR Operation

The AeroSonicDB (YPAD-0523) Dataset for Acoustic Detection and Classification of Aircraft


Neural Adaptive Video Streaming with Pensieve (SIGCOMM '17)

Tiyuntsong: A Self-Play Reinforcement Learning Approach for ABR Video Streaming

Cross-Layer Effects on Training Neural Algorithms for Video Streaming

PROCEEDINGS OF THE 28TH ACM WORKSHOP ON NETWORK AND OPERATING SYSTEMS SUPPORT FOR DIGITAL AUDIO AND VIDEO (NOSSDAV'18)

Deep Reinforcement Learning for Resource Constrained Multiclass Scheduling in Wireless Networks

Automatic Curriculum Generation for Learning Adaptation in Networking

Deep Reinforcement Learning For Wireless Scheduling with Multiclass Services

Karma: Adaptive Video Streaming via Causal Sequence Modeling

Adaptive Bitrate Video Streaming for Wireless nodes: A Survey


Source code for testing the Row Hammer error mechanism in DRAM devices. Described in the ISCA 2014 paper by Kim et al. at http://users.ece.cmu.edu/~omutlu/pub/dram-row-hammer_isca14.pdf.

Processing Data Where It Makes Sense: Enabling In-Memory Computation

RowHammer: A Retrospective

The RowHammer Problem and Other Issues We May Face as Memory Becomes Denser

A Modern Primer on Processing in Memory

A Deeper Look into RowHammer’s Sensitivities: Experimental Analysis of Real DRAM Chips and Implications on Future Attacks and Defenses

PROCEEDINGS OF 54TH ANNUAL IEEE/ACM INTERNATIONAL SYMPOSIUM ON MICROARCHITECTURE, MICRO 2021

SpyHammer: Using RowHammer to Remotely Spy on Temperature

RowHammer and Beyond

Large Scale Studies of Memory, Storage, and Network Failures in a Modern Data Center

Leveraging Adversarial Detection to Enable Scalable and Low Overhead
  RowHammer Mitigations


Dataset of images of trash; Torch-based CNN for garbage image classification

Waste detection in Pomerania: non-profit project for detecting waste in environment.

Deep Convolutional Neural Networks Object Detector for Real-Time Waste Identification

Smart Waste Management and Classification Systems Using Cutting Edge Approach

Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing Attack

A 5G-Enabled Smart Waste Management System for University Campus

Classifying Wastes Using Random Forests, Gaussian Naïve Bayes, Support Vector Machine and Multilayer Perceptron

IOP Conference Series: Materials Science and Engineering

Towards Lightweight Neural Networks for Garbage Object Detection

Waste Classification using Transfer Learning with Convolutional Neural Networks

IOP Conference Series: Earth and Environmental Science

Towards artificially intelligent recycling Improving image processing for waste classification

Do-It-Yourself Recommender System: Reusing and Recycling With Blockchain and Deep Learning


Structured Edge Detection Toolbox

BING: Binarized normed gradients for objectness estimation at 300fps

EpicFlow: Edge-Preserving Interpolation of Correspondences for Optical Flow

Getting to Know Low-light Images with The Exclusively Dark Dataset

Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection

International Conference on Robotics and Automation

Real-Time Referring Expression Comprehension by Single-Stage Grounding Network

Object-Proposal Evaluation Protocol is 'Gameable'

Learning layer-specific edges for segmenting retinal layers with large deformations

Neuro-inspired edge feature fusion using Choquet integrals

Una Revisión Sistemática de Métodos para Localizar Automáticamente Objetos en Imágenes

Revista Iberoamericana de Automática e Informática industrial

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation


Description of the numerical weather prediction products at MET Norway

Utilising Open Geospatial Data to Refine Weather Variables for Building Energy Performance Evaluation—Incident Solar Radiation and Wind-Driven Infiltration Modelling

First Steps towards a near Real-Time Modelling System of Vibrio vulnificus in the Baltic Sea

International journal of environmental research and public health

Efficient Optimization of a Regional Water Elevation Model With an Automatically Generated Adjoint


Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

DDN-SLAM: Real-time Dense Dynamic Neural Implicit SLAM

YOLOR-Based Multi-Task Learning

RepVGG-GELAN: Enhanced GELAN with VGG-STYLE ConvNets for Brain Tumour
  Detection

YOLO9tr: A Lightweight Model for Pavement Damage Detection Utilizing a
  Generalized Efficient Layer Aggregation Network and Attention Mechanism


3D Boolean / CSG Library

Fast Tetrahedral Meshing in the Wild

Improving model-based functional near-infrared spectroscopy analysis using mesh-based anatomical and light-transport models

As-exact-as-possible repair of unprintable STL files

Dual Graded Lattice Structures: Generation Framework and Mechanical Properties Characterization

Interactive and Robust Mesh Booleans

Fast and high-quality tetrahedral mesh generation from neuroanatomical scans

Improving model-based fNIRS analysis using mesh-based anatomical and light-transport models

Designing modular 3D printed reinforcement of wound composite hollow beams with semidefinite programming


A library for drawing space-filling curves like the Hilbert Curve.

A Survey on Cross-Architectural IoT Malware Threat Hunting

Lightweight IoT Malware Detection Solution Using CNN Classification

Image-based Malware Classification: A Space Filling Curve Approach

Best-Effort Adversarial Approximation of Black-Box Malware Classifiers


Interim web space for the "AI for K-12" initiative

Exploring Machine Teaching with Children

Blind Users Accessing Their Training Images in Teachable Object Recognizers

Co-ML: Collaborative Machine Learning Model Building for Developing Dataset Design Practices

Collaborative Machine Learning Model Building with Families Using Co-ML


An MPI Toolkit for large-scale genomic analysis

The comparison of four mitochondrial genomes reveals cytoplasmic male sterility candidate genes in cotton

Rhopalocnemis phalloides has one of the most reduced and mutated plastid genomes known

Comparative Analysis of Plastid Genomes in the Non-photosynthetic Genus Thismia Reveals Ongoing Gene Set Reduction

Gene and transcript abundances of bacterial type III secretion systems from the rumen microbiome are correlated with methane yield in sheep

Chloroplast Genome Analysis of Two Medicinal Coelogyne spp. (Orchidaceae) Shed Light on the Genetic Information, Comparative Genomics, and Species Identification


Simple C examples for Decawave DWM1001 hardware

Deep Learning-Based Real-Time Smartphone Pose Detection for Ultra-Wideband Tagless Gate


[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

Context Encoders: Feature Learning by Inpainting

Deep Depth Completion of a Single RGB-D Image

Variational Autoencoder with Arbitrary Conditioning

On-Demand Learning for Deep Image Restoration

Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search

What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues


The DevNet project on github stores the PacBio DevNet website.

Canu: scalable and accurate long-read assembly via adaptive k-mer weighting and repeat separation

Unicycler: Resolving bacterial genome assemblies from short and long sequencing reads

Fast and accurate de novo genome assembly from long uncorrected reads

MinION-based long-read sequencing and assembly extends the &ITCaenorhabditis elegans&IT reference genome

Illuminating the dark side of the human transcriptome with long read transcript sequencing

Inferring synteny between genome assemblies: a systematic evaluation

A comparative evaluation of hybrid error correction methods for error-prone long reads

Completing bacterial genome assemblies: strategy and performance comparisons

OPERA-LG: efficient and exact scaffolding of large, repeat-rich eukaryotic genomes with performance guarantees

Burkholderia pseudomallei sequencing identifies genomic clades with distinct recombination, accessory, and epigenetic profiles.


PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.

PointPainting: Sequential Fusion for 3D Object Detection

IoU Loss for 2D/3D Object Detection

PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Learning to Optimally Segment Point Clouds

Detecting and Mapping Trees in Unstructured Environments with a Stereo Camera and Pseudo-Lidar

A Density-Aware PointRCNN for 3D Object Detection in Point Clouds


GraphVite: A General and High-performance Graph Embedding System

Graph Neural Networks: A Review of Methods and Applications

GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding

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

LibKGE - A knowledge graph embedding library for reproducible research

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

Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings

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

Cleora: A Simple, Strong and Scalable Graph Embedding Scheme

PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning


Code for the paper "Generative Adversarial Imitation Learning"

Deep Reinforcement Learning: An Overview

Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning

Risk-Sensitive Generative Adversarial Imitation Learning

imitation: Clean Imitation Learning Implementations

Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic

Imitation learning by state-only distribution matching


An open-source impl. of Large Reconstruction Models

LRM: Large Reconstruction Model for Single Image to 3D

CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction
  Model

MVDiffusion++: A Dense High-resolution Multi-view Diffusion Model for
  Single or Sparse-view 3D Object Reconstruction

VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion
  Models

VideoMV: Consistent Multi-View Generation Based on Large Video
  Generative Model

ZeroShape: Regression-based Zero-shot Shape Reconstruction

ComboVerse: Compositional 3D Assets Creation Using Spatially-Aware
  Diffusion Guidance

MVD^2: Efficient Multiview 3D Reconstruction for Multiview Diffusion

GVGEN: Text-to-3D Generation with Volumetric Representation

ThemeStation: Generating Theme-Aware 3D Assets from Few Exemplars


Robotics Gym Environments

Asymmetric self-play for automatic goal discovery in robotic manipulation

panda-gym: Open-source goal-conditioned environments for robotic learning

CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents

Reinforcement Learning With Vision-Proprioception Model for Robot Planar Pushing

It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum Generation

Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement


Unsupervised Sound Separation Using Mixture Invariant Training

Training Sound Event Detection On A Heterogeneous Dataset

Unsupervised Sound Separation Using Mixtures of Mixtures

AudioScopeV2: Audio-Visual Attention Architectures for Calibrated Open-Domain On-Screen Sound Separation

Improving On-Screen Sound Separation for Open Domain Videos with Audio-Visual Self-attention.


Code for reproducing experiments in "Improved Training of Wasserstein GANs"

Improved Training of Wasserstein GANs

Spectral Normalization for Generative Adversarial Networks

Stabilizing Training of Generative Adversarial Networks through Regularization

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

Conference on Computer and Communications Security

How good is my GAN?

Label-Consistent Backdoor Attacks

PassGAN: A Deep Learning Approach for Password Guessing

Identification of deep network generated images using disparities in color components

Geometry Score: A Method For Comparing Generative Adversarial Networks

Countering Malicious DeepFakes: Survey, Battleground, and Horizon


【Code of CVPR2021 paper】Recurrent Multi-view Alignment Network for Unsupervised Surface Registration (CVPR 2021)

WSDesc: Weakly Supervised 3D Local Descriptor Learning for Point Cloud Registration

IEEE transactions on visualization and computer graphics

Fast and Robust Non-Rigid Registration Using Accelerated Majorization-Minimization


Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"

Deep Reinforcement Learning: An Overview

Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization

Improving Gradient Estimation in Evolutionary Strategies With Past Descent Directions

Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies

Importance Weighted Evolution Strategies


The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"

HiEve: A Large-Scale Benchmark for Human-Centric Video Analysis in Complex Events

One Model is Not Enough: Ensembles for Isolated Sign Language Recognition

Learnable Irrelevant Modality Dropout for Multimodal Action Recognition on Modality-Specific Annotated Videos

Improved Baselines for Data-efficient Perceptual Augmentation of LLMs

Audio Visual Scene-Aware Dialog Generation with Transformer-based Video Representations

Performance Evaluation of Action Recognition Models on Low Quality Videos

Boosting Adversarial Transferability using Dynamic Cues

Modeling movie-evoked human brain activity using motion-energy and space-time vision transformer features

Efficient Transformer-Based Compressed Video Modeling via Informative Patch Selection


Training language models to follow instructions with human feedback

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

Transformer models: an introduction and catalog


Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) (Matlab)

Plug-and-Play Unplugged: Optimization Free Reconstruction using Consensus Equilibrium

Image Restoration by Iterative Denoising and Backward Projections

Plug-and-Play gradient-based denoisers applied to CT image enhancement

Denoising single images by feature ensemble revisited


GAN-based Mel-Spectrogram Inversion Network for Text-to-Speech Synthesis

MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

A Survey on Neural Speech Synthesis

UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation

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

MaskCycleGAN-VC: Learning Non-parallel Voice Conversion with Filling in Frames

SIG-VC: A Speaker Information Guided Zero-shot Voice Conversion System for Both Human Beings and Machines

A Benchmarking Initiative for Audio-Domain Music Generation Using the Freesound Loop Dataset

Multi-Scale Sub-Band Constant-Q Transform Discriminator for High-Fidelity Vocoder

Mel Spectrogram Inversion with Stable Pitch

Building Bilingual and Code-Switched Voice Conversion with Limited Training Data Using Embedding Consistency Loss


Hierarchical Text-Conditional Image Generation with CLIP Latents

The Gradient of Generative AI Release: Methods and Considerations

Sociotechnical Safety Evaluation of Generative AI Systems

Evaluating the Social Impact of Generative AI Systems in Systems and Society

RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions

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

Typology of Risks of Generative Text-to-Image Models

Towards best practices in AGI safety and governance: A survey of expert opinion

FLIRT: Feedback Loop In-context Red Teaming

Protecting Society from AI Misuse: When are Restrictions on Capabilities Warranted?

The Ethics of Advanced AI Assistants


unet for image segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

Test-time augmentation for deep learning-based cell segmentation on microscopy images

Semantic Segmentation of Underwater Imagery: Dataset and Benchmark

Microscopy cell nuclei segmentation with enhanced U-Net

An attention-based U-Net for detecting deforestation within satellite sensor imagery

International Journal of Applied Earth Observation and Geoinformation

Large-scale detection and categorization of oil spills from SAR images with deep learning

AnnotatorJ: an ImageJ plugin to ease hand annotation of cellular compartments

Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function

Deep Learning for Detection of Visible Land Boundaries from UAV Imagery

Improving the segmentation of scanning probe microscope images using convolutional neural networks


Github of the FaceForensics dataset

FaceForensics++: Learning to Detect Manipulated Facial Images

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

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

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

The Deepfake Detection Challenge (DFDC) Preview Dataset

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

What makes fake images detectable? Understanding properties that generalize

Sharp Multiple Instance Learning for DeepFake Video Detection

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

FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset

Countering Malicious DeepFakes: Survey, Battleground, and Horizon


Awesome Law NLP Research Work, Paper, Competition, Onlline System

Text summarization from legal documents: a survey

Deep learning in law: early adaptation and legal word embeddings trained on large corpora

A Methodology for a Criminal Law and Procedure Ontology for Legal Question Answering

Research and Design on Cognitive Computing Framework for Predicting Judicial Decisions

Data Augmentation for Deep Learning of Judgment Documents

Sino-foreign-interchange Workshop on Intelligent Science and Intelligent Data Engineering

Learning to Predict Charges for Judgment with Legal Graph

A Recurrent Attention Network for Judgment Prediction

Legal Cause Prediction with Inner Descriptions and Outer Hierarchies

Legal Article-Aware End-To-End Memory Network for Charge Prediction

Proceedings of the 2nd International Conference on Computer Science and Application Engineering

Multi-task learning model for legal judgment predictions with charge keywords

清华大学学报. 自然科学版


Simultaneous object detection and tracking using center points.

Tracking Objects as Points

TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers

Extraction of Positional Player Data from Broadcast Soccer Videos

Boosting Monocular 3D Object Detection With Object-Centric Auxiliary Depth Supervision

Where and What

Proceedings of the ACM on human-computer interaction


Home of CodeT5: Open Code LLMs for Code Understanding and Generation

RoBERTa: A Robustly Optimized BERT Pretraining Approach

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

Model Cards for Model Reporting

Proceedings of the Conference on Fairness, Accountability, and Transparency

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

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

CodeT5+: Open Code Large Language Models for Code Understanding and Generation

CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning

OctoPack: Instruction Tuning Code Large Language Models

Diet code is healthy: simplifying programs for pre-trained models of code

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Stealthy Backdoor Attack for Code Models


DeepXplore code release

DeepXplore: Automated Whitebox Testing of Deep Learning Systems

Symposium on Operating Systems Principles

Guiding Deep Learning System Testing using Surprise Adequacy

Verification for Machine Learning, Autonomy, and Neural Networks Survey

Towards Improved Testing For Deep Learning

Taking Care of the Discretization Problem: A Comprehensive Study of the Discretization Problem and a Black-Box Adversarial Attack in Discrete Integer Domain

Provably Valid and Diverse Mutations of Real-World Media Data for DNN Testing

Excitement surfeited turns to errors: Deep learning testing framework based on excitable neurons


Deep Interest Network for Click-Through Rate Prediction

User Response Prediction in Online Advertising

Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation


Open source code for the paper of Neural Sparse Voxel Fields.

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Neural Sparse Voxel Fields

Point-Based Neural Rendering with Per-View Optimization

Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Control


struc2vec: Learning Node Representations from Structural Identity

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods

Towards Understanding and Evaluating Structural Node Embeddings


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

Playing for Data: Ground Truth from Computer Games

Modern Approaches to Exact Diagonalization and Selected Configuration Interaction with the Adaptive Sampling CI Method

Journal of chemical theory and computation

Adopting worst-case optimal joins in relational database systems

A Lightweight Blockchain Based Framework for Underwater IoT

Information overload in group communication: from conversation to cacophony in the Twitch chat

Lempel-Ziv Jaccard Distance, an effective alternative to ssdeep and sdhash

Digital Investigation. The International Journal of Digital Forensics and Incident Response

Sketching Linear Classifiers over Data Streams

To Petabytes and beyond: recent advances in probabilistic and signal processing algorithms and their application to metagenomics

An efficient deterministic perturbation theory for selected configuration interaction methods

The HANDE-QMC Project: Open-Source Stochastic Quantum Chemistry from the Ground State Up.


Design of experiments for Python

Mining gravitational-wave catalogs to understand binary stellar evolution: A new hierarchical Bayesian framework

Sparsity-promoting algorithms for the discovery of informative Koopman-invariant subspaces

Soil hydraulic material properties and layered architecture from time-lapse GPR

Effect of unrepresented model errors on estimated soil hydraulic material properties

PGNets: planet mass prediction using convolutional neural networks for radio continuum observations of protoplanetary discs

A simulation-based inference pipeline for cosmic shear with the Kilo-Degree Survey

Material Parameter Identification of Elastoplastic Constitutive Models Using Machine Learning Approaches

Deep Learning Voigt Profiles. I. Single-Cloud Doublets

KiDS-SBI: Simulation-Based Inference Analysis of KiDS-1000 Cosmic Shear


Simple but effective library to translate Java source code to Python.

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

Syntax and Domain Aware Model for Unsupervised Program Translation

Attention, Compilation, and Solver-based Symbolic Analysis are All You Need

Using Document Similarity Methods to create Parallel Datasets for Code Translation

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

BayesicFitting, a PYTHON toolbox for Bayesian fitting and evidence calculation.

Teaching Machines to Code: Smart Contract Translation with LLMs


A list of scRNA-seq analysis tools

Comprehensive Integration of Single-Cell Data

UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Integrated analysis of multimodal single-cell data

Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets

SCANPY: large-scale single-cell gene expression data analysis

The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells

Massively parallel digital transcriptional profiling of single cells

Spatial reconstruction of single-cell gene expression data

SCENIC: single-cell regulatory network inference and clustering

Reversed graph embedding resolves complex single-cell trajectories


SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)

SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure


webshell sample for WebShell Log Analysis

WebShell Attack Detection Based on a Deep Super Learner

Research on WebShell Detection Method Based on Regularized Neighborhood Component Analysis (RNCA)

BERT-Embedding-Based JSP Webshell Detection on Bytecode Level Using XGBoost


Simple, online, and realtime tracking of multiple objects in a video sequence.

Simple Online and Realtime Tracking

International Conference on Information Photonics

Tracking Objects as Points

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

Edge-Computing Video Analytics for Real-Time Traffic Monitoring in a Smart City

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

IEEE Transactions on Geoscience and Remote Sensing

ARBEE: Towards Automated Recognition of Bodily Expression of Emotion in the Wild

International journal of computer vision

LettuceTrack: Detection and tracking of lettuce for robotic precision spray in agriculture

LettuceMOT: A dataset of lettuce detection and tracking with re-identification of re-occurred plants for agricultural robots

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

Cognitive architecture aided by working-memory for self-supervised multi-modal humans recognition


BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks

Neural Sparse Voxel Fields


StyleGAN2 - Official TensorFlow Implementation

Analyzing and Improving the Image Quality of StyleGAN

Diffusion Models Beat GANs on Image Synthesis

Training Generative Adversarial Networks with Limited Data

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

Differentiable Augmentation for Data-Efficient GAN Training

What makes fake images detectable? Understanding properties that generalize

EditGAN: High-Precision Semantic Image Editing

Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data

A Good Image Generator Is What You Need for High-Resolution Video Synthesis

Adversarial Generation of Continuous Images


A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。

MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models

NASE: Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture Search

A Unified Knowledge Graph Augmentation Service for Boosting Domain-specific NLP Tasks


[ECCV 2024 Oral] LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.

L4GM: Large 4D Gaussian Reconstruction Model

MicroDreamer: Zero-shot 3D Generation in ∼20 Seconds by Score-based
  Iterative Reconstruction


An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"

Attention Is All You Need

FastSpeech: Fast, Robust and Controllable Text to Speech

A Survey on Neural Speech Synthesis

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond

Investigating on Incorporating Pretrained and Learnable Speaker Representations for Multi-Speaker Multi-Style Text-to-Speech

UniAudio: An Audio Foundation Model Toward Universal Audio Generation

Meta-TTS: Meta-Learning for Few-Shot Speaker Adaptive Text-to-Speech

Hierarchical Prosody Modeling for Non-Autoregressive Speech Synthesis

STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech


An unsupervised learning framework for depth and ego-motion estimation from monocular videos

Unsupervised Learning of Depth and Ego-Motion from Video

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey

Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue

Unsupervised Learning of Depth, Optical Flow and Pose With Occlusion From 3D Geometry

IEEE Transactions on Intelligent Transportation Systems

SfMLearner++: Learning Monocular Depth & Ego-Motion using Meaningful Geometric Constraints

Epipolar Geometry based Learning of Multi-view Depth and Ego-Motion from Monocular Sequences

Improving Self-Supervised Single View Depth Estimation by Masking Occlusion


SampleRNN: An Unconditional End-to-End Neural Audio Generation Model

Adversarial Audio Synthesis

A Survey on Neural Speech Synthesis


StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation

Training Generative Adversarial Networks with Limited Data

SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

On Aliased Resizing and Surprising Subtleties in GAN Evaluation

StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

Regularizing Generative Adversarial Networks under Limited Data

Variational Model Inversion Attacks

Training GANs with Stronger Augmentations via Contrastive Discriminator

Privacy-friendly Synthetic Data for the Development of Face Morphing Attack Detectors

QuantFace: Towards Lightweight Face Recognition by Synthetic Data Low-bit Quantization

FreGAN: Exploiting Frequency Components for Training GANs under Limited Data


R-FCN: Object Detection via Region-based Fully Convolutional Networks

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

A review: Comparison of performance metrics of pretrained models for object detection using the TensorFlow framework

IOP Conference Series: Materials Science and Engineering

Advances and Applications of Computer Vision Techniques in Vehicle Trajectory Generation and Surrogate Traffic Safety Indicators

Auto-Context R-CNN

Overhead Detection: Beyond 8-bits and RGB

A Post-processing Fusion Framework for Deep Learning Models for Crop Disease Detection


An open-source codebase for exploring autonomous driving pre-training

Uni3D: A Unified Baseline for Multi-dataset 3D Object Detection

Bi3D: Bi-domain Active Learning for Cross-domain 3D Object Detection

AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset

ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation

SUG: Single-dataset Unified Generalization for 3D Point Cloud Classification

SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving


Statistical Rethinking course and book package

Advanced Bayesian Multilevel Modeling with the R Package brms

Bayesian Item Response Modeling in R with brms and Stan

Why the Cross-Lagged Panel Model Is Almost Never the Right Choice

Advances in Methods and Practices in Psychological Science

Gene expression differs in susceptible and resistant amphibians exposed to Batrachochytrium dendrobatidis

Multiflora rose invasion amplifies prevalence of Lyme disease pathogen, but not necessarily Lyme disease risk

"Cultural additivity" and how the values and norms of Confucianism, Buddhism, and Taoism co-exist, interact, and influence Vietnamese society: A Bayesian analysis of long-standing folktales, using R and Stan

Impact of climate change on site characteristics of eight major astronomical observatories using high-resolution global climate projections until 2050

Effect of Norovirus Inoculum Dose on Virus Kinetics, Shedding, and Symptoms

Epidemiological transitions in human evolution and the richness of viruses, helminths, and protozoa

Semiparametric zero-inflated Bernoulli regression with applications


Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs

Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Conditional Sig-Wasserstein GANs for Time Series Generation

Generative adversarial networks in time series: A survey and taxonomy

EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records

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

Time-series Generation by Contrastive Imitation

Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks

GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces

Graphical Analysis of the Progression of Atrial Arrhythmia Using Recurrent Neural Networks

International Journal of Computational Intelligence Systems


Programs for producing static and dynamic (runtime) call graphs for Java programs

Parameter-Free Probabilistic API Mining across GitHub

Interactive, Effort-Aware Library Version Harmonization

Adding Context to Source Code Representations for Deep Learning

A comparative study of application-level caching recommendations at the method level

Change Impact Analysis Based Regression Testing of Web Services

JEMMA: An extensible Java dataset for ML4Code applications

An Intra-Class Relation Guided Approach for Code Comment Generation

Findings of the Association for Computational Linguistics: EACL 2023


Code for the paper "Evaluating Large Language Models Trained on Code"

Holistic Evaluation of Language Models

Large Language Models Meet NL2Code: A Survey

Multi-lingual Evaluation of Code Generation Models

No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation

Capturing Failures of Large Language Models via Human Cognitive Biases

PanGu-Coder: Program Synthesis with Function-Level Language Modeling

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

Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review

Large Language Models of Code Fail at Completing Code with Potential Bugs


SpeechGPT Series: Speech Large Language Models

SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities

X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages

SpeechAlign: Aligning Speech Generation to Human Preferences

SpeechGPT-Gen: Scaling Chain-of-Information Speech Generation

Integrating Paralinguistics in Speech-Empowered Large Language Models for Natural Conversation


PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

Learning without Forgetting

Three scenarios for continual learning

Generative replay with feedback connections as a general strategy for continual learning

Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent

Overcoming Catastrophic Forgetting by Generative Regularization


Chinese NER using Lattice LSTM. Code for ACL 2018 paper.

Chinese NER Using Lattice LSTM

Simplify the Usage of Lexicon in Chinese NER

A Lexicon-Based Graph Neural Network for Chinese NER

Empirical Methods in Natural Language Processing

Named Entity Recognition for Social Media Texts with Semantic Augmentation

Statistical Dataset Evaluation: Reliability, Difficulty, and Validity

Spatio-Temporal Information Extraction and Geoparsing for Public Chinese Resumes

ISPRS International Journal of Geo-Information

Chinese Medical Named Entity Recognition Based on Fusion of Global Features and Multi-Local Features


Neovim plugin for GitHub Copilot

A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges

On the Concerns of Developers When Using GitHub Copilot

A Performance Study of LLM-Generated Code on Leetcode

PROCEEDINGS OF 2024 28TH INTERNATION CONFERENCE ON EVALUATION AND ASSESSMENT IN SOFTWARE ENGINEERING, EASE 2024


The official mirror of the V8 Git repository

Faasm: Lightweight Isolation for Efficient Stateful Serverless Computing

Not So Fast: Analyzing the Performance of WebAssembly vs. Native Code

A Lightweight Design for Serverless Function as a Service

Smartphone Fingerprinting Via Motion Sensors: Analyzing Feasiblity at Large-Scale and Studing Real Usage Patterns.

SOK: On the Analysis of Web Browser Security

Josephine: Using JavaScript to safely manage the lifetimes of Rust data

Flexible Non-intrusive Dynamic Instrumentation for WebAssembly

Compilation Forking: A Fast and Flexible Way of Generating Data for Compiler-Internal Machine Learning Tasks

Galloping in fast-growth natural merge sorts


Code for the paper "Large-Scale Study of Curiosity-Driven Learning"

See, Hear, Explore: Curiosity via Audio-Visual Association

Touch-based Curiosity for Sparse-Reward Tasks


Unsupervised Language Modeling at scale for robust sentiment classification

Attention Is All You Need

Mining Dual Emotion for Fake News Detection

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

Practical Text Classification With Large Pre-Trained Language Models

Large Scale Language Modeling: Converging on 40GB of Text in Four Hours

Multimodal Dual Emotion with Fusion of Visual Sentiment for Rumor Detection


PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

When and why vision-language models behave like bags-of-words, and what to do about it?

Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners

Controlling Text-to-Image Diffusion by Orthogonal Finetuning

SuS-X: Training-Free Name-Only Transfer of Vision-Language Models

Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning

Large Language Models are Visual Reasoning Coordinators

Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation

Multimodal Procedural Planning via Dual Text-Image Prompting

FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation


An optimization-based multi-sensor state estimator

A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensors

A General Optimization-based Framework for Global Pose Estimation with Multiple Sensors

Omni-Swarm: A Decentralized Omnidirectional Visual–Inertial–UWB State Estimation System for Aerial Swarms

VIRAL-Fusion: A Visual-Inertial-Ranging-Lidar Sensor Fusion Approach

XTDrone: A Customizable Multi-rotor UAVs Simulation Platform

Learning Whole-Image Descriptors for Real-time Loop Detection andKidnap Recovery under Large Viewpoint Difference

Stereo Visual Inertial Pose Estimation Based on Feedforward-Feedback Loops

GRADE: Generating Realistic Animated Dynamic Environments for Robotics Research

Formula Derivation and Analysis of the VINS-Mono


Data augmentation for NLP, presented at EMNLP 2019

EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

A Survey of Data Augmentation Approaches for NLP

Generative Data Augmentation for Commonsense Reasoning

Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference

PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks

FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning

Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space

A little goes a long way: Improving toxic language classification despite data scarcity

Consistency Training with Virtual Adversarial Discrete Perturbation

DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification


Download data from the Opportunity Insights Economic Tracker — https://tracktherecovery.org/

The unequal effects of the health-economy tradeoff during the COVID-19 pandemic

The Differential Impact of Reopening States With and Without COVID-19 Face Mask Mandates on County-Level Consumer Spending

Public health reports (Washington, D.C. : 1974)

Learning delay dynamics for multivariate stochastic processes, with application to the prediction of the growth rate of COVID-19 cases in the United States


A collection of work related to COVID-19

An Exploratory Study of COVID-19 Information on Twitter in the Greater Region

Modelling the first wave of COVID-19 in India

A multi-source global-local model for epidemic management

Effect of lockdown interventions to control the COVID-19 epidemic in India

Masks and COVID-19: a causal framework for imputing value to public-health interventions

Looking back on forward-looking COVID models


开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

Real-Time Face Mask Detection Method Based on YOLOv3

RetinaFaceMask: A Single Stage Face Mask Detector for Assisting Control of the COVID-19 Pandemic

A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19

IEEE Transactions on Artificial Intelligence

An Improved Lightweight YOLOv5 Model Based on Attention Mechanism for Face Mask Detection

Detection of a facemask in real-time using deep learning methods:
  Prevention of Covid 19

Mask or Non-Mask? Robust Face Mask Detector via Triplet-Consistency Representation Learning

A Survey on Computer Vision based Human Analysis in the COVID-19 Era

Real-time social distance measurement and face mask detection in public transportation systems during the COVID-19 pandemic and post-pandemic Era: Theoretical approach and case study in Italy Transportation Research Interdisciplinary Perspectives

Transportation research interdisciplinary perspectives

AI Based Monitoring of Different Risk Levels in COVID-19 Context

Comparative Analysis of Convolutional Neural Network Architectures for Real Time COVID-19 Facial Mask Detection


DroneDeploy Machine Learning Segmentation Benchmark

On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID

Aerial Imagery Pixel-level Segmentation

Data Models for Dataset Drift Controls in Machine Learning With Optical Images

Hierarchical Semantic Segmentation using Psychometric Learning

Non-Uniform Spatial Alignment Errors in sUAS Imagery From Wide-Area
  Disasters