A lightweight, object-oriented finite state machine implementation in Python with many extensions

State Machine Based Human-Bot Conversation Model and Services

KERN

Avgust: automating usage-based test generation from videos of app executions

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

Using Finite-State Machines to Automatically Scan Classical Greek Hexameter


Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Learning to Compress Prompts with Gist Tokens

Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning

MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-Following

Improving Cross-Task Generalization with Step-by-Step Instructions

Zero-Shot Generalization during Instruction Tuning: Insights from
  Similarity and Granularity

Toward Zero-Shot Instruction Following

Donkii: Can Annotation Error Detection Methods Find Errors in Instruction-Tuning Datasets?


Flex ddG: Rosetta ensemble-based estimation of changes in protein-protein binding affinity upon mutation

Free Energy Perturbation Calculations of Mutation Effects on SARS-CoV-2 RBD::ACE2 Binding Affinity

Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model

Designing Cyclic-Constrained Peptides to Inhibit Human Phosphoglycerate Dehydrogenase


Face recognition system for ID photos

DocFace: Matching ID Document Photos to Selfies

DocFace+: ID Document to Selfie Matching

Identity Document to Selfie Face Matching Across Adolescence


LaFIn: Generative Landmark Guided Face Inpainting

Image Inpainting for Irregular Holes Using Partial Convolutions


Heterogeneous Information Network Datasets for Recommendation and Network Embedding

Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning

Socially-Aware Self-Supervised Tri-Training for Recommendation

DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks

Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-N Recommendation

Counterfactual Explanation for Fairness in Recommendation

Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation

Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks

GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation

Pacific-Asia Conference on Knowledge Discovery and Data Mining


PacBio hybrid error correction through iterative short read consensus

Reviving the Transcriptome Studies: An Insight Into the Emergence of Single-Molecule Transcriptome Sequencing

Deciphering highly similar multigene family transcripts from Iso-Seq data with IsoCon

Whole Genome Sequence of an Edible and Potential Medicinal Fungus, Cordyceps guangdongensis

A draft genome assembly of halophyte Suaeda aralocaspica, a plant that performs C4 photosynthesis within individual cells

Genome Sequencing and Analysis of Thraustochytriidae sp. SZU445 Provides Novel Insights into the Polyunsaturated Fatty Acid Biosynthesis Pathway

Population Genomic Approaches for Weed Science

An improved reference genome for Trifolium subterraneum L. provides insight into molecular diversity and intra-specific phylogeny


Inception Score for GANs in Pytorch

Improved Techniques for Training GANs

A Note on the Inception Score

Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation

Leveraging Visual Question Answering to Improve Text-to-Image Synthesis

Efficient Shapley Values for Attributing Global Properties of Diffusion Models to Data Group


DAMOV is a benchmark suite and a methodical framework targeting the study of data movement bottlenecks in modern applications. It is intended to study new architectures, such as near-data processing. Described by Oliveira et al. (preliminary version at https://arxiv.org/pdf/2105.03725.pdf)

DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks

MIMDRAM: An End-to-End Processing-Using-DRAM System for High-Throughput,
  Energy-Efficient and Programmer-Transparent Multiple-Instruction
  Multiple-Data Processing

Sectored DRAM: A Practical Energy-Efficient and High-Performance Fine-Grained DRAM Architecture

Methodologies, Workloads, and Tools for Processing-in-Memory: Enabling the Adoption of Data-Centric Architectures


[CVPR 2021] Closed-Form Factorization of Latent Semantics in GANs

Tensor Component Analysis for Interpreting the Latent Space of GANs

Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps

Fantastic Style Channels and Where to Find Them: A Submodular Framework for Discovering Diverse Directions in GANs

Unsupervised Discovery of Semantic Concepts in Satellite Imagery with Style-based Wavelet-driven Generative Models

Proceedings of the 12th Hellenic Conference on Artificial Intelligence


Generate C code for microcontrollers from Python's sklearn classifiers

DNN Is Not All You Need: Parallelizing Non-neural ML Algorithms on Ultra-low-power IoT Processors

TinyML Platforms Benchmarking

TinyML-Based Fall Detection for Connected Personal Mobility Vehicles

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

An Impact Localization Solution Using Embedded Intelligence—Methodology and Experimental Verification via a Resource-Constrained IoT Device


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


D3 based visualisation for comparative genomics

Next-Generation Breeding Strategies for Climate-Ready Crops

PanViz: interactive visualization of the structure of functionally annotated pangenomes

Pangenomics in Microbial and Crop Research: Progress, Applications, and Perspectives

Next Generation Sequencing Approaches to Characterize the Respiratory Tract Virome


Twitter NLP Tools

Named Entity Recognition in Tweets: An Experimental Study

A Survey on Deep Learning for Named Entity Recognition

Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters

North American Chapter of the Association for Computational Linguistics

SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)

Location reference recognition from texts: A survey and comparison

SlugNERDS: A Named Entity Recognition Tool for Open Domain Dialogue Systems

Opinion Conflicts: An Effective Route to Detect Incivility in Twitter

Sentence Boundary Detection for Social Media Text

International conference natural language processing

Feature-Rich Twitter Named Entity Recognition and Classification

International Conference on Computational Linguistics

Twitter at the Grammys: A Social Media Corpus for Entity Linking and Disambiguation


Converts a VCF file to a FASTA alignment provided a reference genome and a GFF file

Population genomics of the mostly thelytokousDiplolepis rosae(Linnaeus, 1758) (Hymenoptera: Cynipidae) reveals population-specific selection for sex

Characterization and distribution of a 14-Mb chromosomal inversion in native populations of rainbow trout (Oncorhynchus mykiss)


Standard database for the TBProfiler tool

Whole genome sequencing of drug resistant Mycobacterium tuberculosis isolates from a high burden tuberculosis region of North West Pakistan

Mycobacterium tuberculosis whole genome sequencing provides insights into the Manila strain and drug-resistance mutations in the Philippines

Analysis of Factors Influencing Multidrug-Resistant Tuberculosis and Validation of Whole-Genome Sequencing in Children with Drug-Resistant Tuberculosis


Repository for our ACL 2020 paper "Learning and Evaluating Emotion Lexicons for 91 Languages"

Norms of valence, arousal, dominance, and age of acquisition for 4,300 Dutch words

The adaptation of the Affective Norms for English Words (ANEW) for Italian

The adaptation of the Affective Norms for English Words (ANEW) for European Portuguese

Building Chinese Affective Resources in Valence-Arousal Dimensions

ANGST: Affective norms for German sentiment terms, derived from the affective norms for English words

Leipzig Affective Norms for German: A reliability study

Affective Norms for 4900 Polish Words Reload (ANPW_R): Assessments for Valence, Arousal, Dominance, Origin, Significance, Concreteness, Imageability and, Age of Acquisition

Norms of valence, arousal, concreteness, familiarity, imageability, and context availability for 1,100 Chinese words

Nencki Affective Word List (NAWL): the cultural adaptation of the Berlin Affective Word List–Reloaded (BAWL-R) for Polish

Discrete emotion norms for nouns: Berlin affective word list (DENN–BAWL)


DaPars(Dynamic analysis of Alternative PolyAdenylation from RNA-seq)

Alternative polyadenylation: methods, mechanism, function, and role in cancer

Journal of experimental & clinical cancer research : CR

Dissecting the heterogeneity of the alternative polyadenylation profiles in triple-negative breast cancers

Alternative cleavage and polyadenylation of genes associated with protein turnover and mitochondrial function are deregulated in Parkinson’s, Alzheimer’s and ALS disease

HPV shapes tumor transcriptome by globally modifying the pool of RNA binding protein-binding motif

The RNA-Binding Protein HuD Regulates Alternative Splicing and Alternative Polyadenylation in the Mouse Neocortex

Comprehensive Analysis of APA Events and Their Association With Tumor Microenvironment in Lung Adenocarcinoma

Implications of Poly(A) Tail Processing in Repeat Expansion Diseases

Comprehensive analysis of a novel RNA modifications-related model in the prognostic characterization, immune landscape and drug therapy of bladder cancer

PolyAMiner-Bulk: A Machine Learning Based Bioinformatics Algorithm to Infer and Decode Alternative Polyadenylation Dynamics from bulk RNA-seq data

bioRxiv : the preprint server for biology


Keras implementation for Deep Embedding Clustering (DEC)

Deep Multivariate Time Series Embedding Clustering via Attentive-Gated Autoencoder

Deep Kernel Learning for Clustering

Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning

Deep Clustering With a Constraint for Topological Invariance Based on Symmetric InfoNCE

Leveraging tensor kernels to reduce objective function mismatch in deep clustering


k-SLAM ultra fast alignment and taxonomic classification of metagenomic datasets

A Metagenomic Approach to Cyanobacterial Genomics

k-SLAM: accurate and ultra-fast taxonomic classification and gene identification for large metagenomic data sets

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


MXfold2: RNA secondary structure prediction using deep learning with thermodynamic integration

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

Multi-purpose RNA language modelling with motif-aware pretraining and type-guided fine-tuning

PKM2 controls the translation of TFE3 to maintain the integrity of the Golgi apparatus for the survival of HeLa and ME-180 cervical cancer cells.

Genome-wide identification of A-to-I RNA editing events provides the functional implications in PDAC


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

Adversarial Audio Synthesis

A Survey on Neural Speech Synthesis


OpenIE6 system

OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction

DetIE: Multilingual Open Information Extraction Inspired by Object Detection

OPAL: Ontology-Aware Pretrained Language Model for End-to-End Task-Oriented Dialogue

Syntactic Multi-view Learning for Open Information Extraction

IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models

Open Information Extraction via Chunks

MIST: a Large-Scale Annotated Resource and Neural Models for Functions of Modal Verbs in English Scientific Text


DeepGS is a R package for predicting phenotypes from genotypes using deep learning techniques.

DeepGS: Predicting phenotypes from genotypes using Deep Learning

Integrated Approach in Genomic Selection to Accelerate Genetic Gain in Sugarcane

A split-and-merge deep learning approach for phenotype prediction

Frontiers in bioscience (Landmark edition)

Predicting phenotypes from novel genomic markers using deep learning

Predictions of Indigenous Chicken Phenotypes from Genotypes: Comparison Between Machine Learning and conventional Linear Models


GLoRIA: A Multimodal Global-Local Representation Learning Framework forLabel-efficient Medical Image Recognition

MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition

International Conference on Computer Vision

Knowledge-enhanced visual-language pre-training on chest radiology images

Utilizing Synthetic Data for Medical Vision-Language Pre-training: Bypassing the Need for Real Images

Improving fine-grained understanding in image-text pre-training

Integrating Prior Knowledge in Contrastive Learning with Kernel

Cross modal global local representation learning from radiology reports and x-ray chest images


[CVPR 2022] StyleSwin: Transformer-based GAN for High-resolution Image Generation

Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review

On Measuring Fairness in Generative Models


NanoMod: a computational tool to detect DNA modifications using Nanopore long-read sequencing data

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

Detection of base analogs incorporated during DNA replication by nanopore sequencing


A tool written in go to help you factor carbon intensity into decisions about where and when to run computing jobs.


Sophos-ReversingLabs 20 million sample dataset

SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection

Automatic Malware Description via Attribute Tagging and Similarity Embedding

Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints

Malware Resistant Data Protection in Hyper-connected Networks: A survey


A User-Centered Concept Mining System for Query and Document Understanding at Tencent

Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies

GIANT: Scalable Creation of a Web-scale Ontology

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

LTCR: Long-Text Chinese Rumor Detection Dataset


Multi-Omics Factor Analysis

Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets

State of the Field in Multi-Omics Research: From Computational Needs to Data Mining and Sharing

Machine learning for multi-omics data integration in cancer

Unsupervised Multi-Omics Data Integration Methods: A Comprehensive Review

Computational Analysis of Phosphoproteomics Data in Multi‐Omics Cancer Studies

Applications of Omics Technology for Livestock Selection and Improvement


Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks

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

HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces

AMLB: an AutoML Benchmark

YAHPO Gym -- An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization

PFNs4BO: In-Context Learning for Bayesian Optimization

Large Language Models to Enhance Bayesian Optimization

Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization

LLaMoCo: Instruction Tuning of Large Language Models for Optimization
  Code Generation

GPU Accelerated Exhaustive Search for Optimal Ensemble of Black-Box Optimization Algorithms


Scallop is a reference-based transcriptome assembler for RNA-seq

Accurate assembly of transcripts through phase-preserving graph decomposition

Quantifying the Benefit Offered by Transcript Assembly on Single-Molecule Long Reads

Scallop enables accurate assembly of transcripts through phasing-preserving graph decomposition

Performance evaluation of lossy quality compression algorithms for RNA-seq data


A Multipurpose Library for Synthetic Time Series Generation in Python

Benchmarking Deep Learning Interpretability in Time Series Predictions

What went wrong and when? Instance-wise Feature Importance for Time-series Models

Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series

IEEE journal of biomedical and health informatics

Efficient Optimization of Echo State Networks for Time Series Datasets

International Joint Conference on Neural Network

On the Resilience of Biometric Authentication Systems against Random Inputs

Proceedings 2020 Network and Distributed System Security Symposium

MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data

A Causal Approach to Detecting Multivariate Time-series Anomalies and Root Causes

Misclassification Bias in Computational Social Science: A Simulation Approach for Assessing the Impact of Classification Errors on Social Indicators Research

TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series

Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models


A Python wrapper for PaDEL-Descriptor software

A Database Framework for Rapid Screening of Structure-Function Relationships in PFAS Chemistry

MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy

From intuition to AI: evolution of small molecule representations in drug discovery

Virtual Screening of Small Molecules Targeting BCL2 with Machine Learning, Molecular Docking, and MD Simulation


A Quasi-DYNamic earthquake simulator

The Impact of Large Erosional Events and Transient Normal Stress Changes on the Seismicity of Faults

Scaling of Repeating Earthquakes at the Transition From Aseismic to Seismic Slip


Bias factorized, base-resolution deep learning models of chromatin accessibility (chromBPNet)

Chromatin accessibility is a two-tier process regulated by transcription factor pioneering and enhancer activation

Using a comprehensive atlas and predictive models to reveal the complexity and evolution of brain-active regulatory elements


Flexible Stellar Population Synthesis

Deriving Physical Properties from Broadband Photometry with Prospector: Description of the Model and a Demonstration of its Accuracy Using 129 Galaxies in the Local Universe

Nebular Continuum and Line Emission in Stellar Population Synthesis Models

A Redshift-independent Efficiency Model: Star Formation and Stellar Masses in Dark Matter Halos at z ≳ 4

Fast, Slow, Early, Late: Quenching Massive Galaxies at z ∼ 0.8

A massive, quiescent, population II galaxy at a redshift of 2.1

The Palomar Transient Factory Core-collapse Supernova Host-galaxy Sample. I. Host-galaxy Distribution Functions and Environment Dependence of Core-collapse Supernovae

The Astrophysical Journal Supplement Series

Stochastic modelling of star-formation histories I: the scatter of the star-forming main sequence

Monthly notices of the Royal Astronomical Society

Full spectrum fitting with photometry in ppxf: stellar population versus dynamical masses, non-parametric star formation history and metallicity for 3200 LEGA-C galaxies at redshift z ≈ 0.8

Monthly Notices of the Royal Astronomical Society

The Three Hundred project: The gizmo-simba run

ETHOS - an effective theory of structure formation: predictions for the high-redshift Universe - abundance of galaxies and reionization.


Pyro models of SARS-CoV-2 variants

Analysis of 6.4 million SARS-CoV-2 genomes identifies mutations associated with fitness

medRxiv : the preprint server for health sciences

Inferring selection effects in SARS-CoV-2 with Bayesian Viral Allele Selection

Early warning of emerging infectious diseases based on multimodal data

Biophysical principles predict fitness of SARS-CoV-2 variants


Efficient analysis of spatial biodiversity datasets for global portfolios


A toolkit for tools and techniques related to the privacy and compliance of AI models.

Data Minimization for GDPR Compliance in Machine Learning Models

Anonymizing Machine Learning Models

GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)


Fixes contractions such as `you're` to `you are`

Normalization of Indonesian-English Code-Mixed Twitter Data

Empirical Methods in Natural Language Processing

MyMove: Facilitating Older Adults to Collect In-Situ Activity Labels on a Smartwatch with Speech

PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22)

A curated dataset for hate speech detection on social media text

Effects of Online Self-Disclosure on Social Feedback During the COVID-19 Pandemic

Sentiment Analysis of the COVID-related r/Depression Posts

IIITN NLP at SMM4H 2021 Tasks: Transformer Models for Classification on Health-Related Imbalanced Twitter Datasets

Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task

BugListener: Identifying and Synthesizing Bug Reports from Collaborative Live Chats

Team LRL_NC at SemEval-2022 Task 4: Binary and Multi-label Classification of PCL using Fine-tuned Transformer-based Models

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


A list of useful payloads and bypass for Web Application Security and Pentest/CTF

Code Injection Attacks in Wireless-Based Internet of Things (IoT): A Comprehensive Review and Practical Implementations

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

Can You Accept LaTeX Files from Strangers? Ten Years Later


Galaxy RNA workbench

The RNA workbench: best practices for RNA and high-throughput sequencing bioinformatics in Galaxy

RNA-bioinformatics: Tools, services and databases for the analysis of RNA-based regulation

The RNA workbench 2.0: next generation RNA data analysis

Bioinformatics and Machine Learning Approaches to Understand the Regulation of Mobile Genetic Elements


A living benchmark framework for symbolic regression

Contemporary Symbolic Regression Methods and their Relative Performance

Where are we now? A large benchmark study of recent symbolic regression methods

Transformer-based Planning for Symbolic Regression

Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition

Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning

M5GP: Parallel Multidimensional Genetic Programming with Multidimensional Populations for Symbolic Regression

Mathematical and Computational Applications

GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations

Physical Symbolic Optimization


Low-latency machine code generation

Tidy Tuples and Flying Start: fast compilation and fast execution of relational queries in Umbra

A JIT Compiler for Neural Network Inference

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

FIRESTARTER 2: Dynamic Code Generation for Processor Stress Tests

International Conference on Cluster Computing


Read-only mirror of Trusted Firmware-A

Virtualizing mixed-criticality systems: A survey on industrial trends and issues

Building Trust for Smart Connected Devices: The Challenges and Pitfalls of TrustZone

ReZone: Disarming TrustZone with TEE Privilege Reduction

Fine-Grained Access Control-Enabled Logging Method on ARM TrustZone

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


Value-Decomposition Multi-Agent Actor-Critics

The StarCraft Multi-Agent Challenge

Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning


Deep Closest Point: Learning Representations for Point Cloud Registration

PRNet: Self-Supervised Learning for Partial-to-Partial Registration

Fast and Robust Iterative Closest Point

IEEE transactions on pattern analysis and machine intelligence

Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priors

End-to-End 3D Point Cloud Learning for Registration Task Using Virtual Correspondences

A Robust Loss for Point Cloud Registration

Point Cloud Registration Based on Multiparameter Functional

Point-based metric and topological localisation between lidar and overhead imagery

PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations


The full dataset behind paperswithcode.com

Mapping global dynamics of benchmark creation and saturation in artificial intelligence

reStructured Pre-training

Analyzing Dataset Annotation Quality Management in the Wild

Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on Hugging Face

Linked Papers With Code: The Latest in Machine Learning as an RDF Knowledge Graph


Official Jax Implementation of MaskGIT

MaskGIT: Masked Generative Image Transformer

Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

A Pytorch Reproduction of Masked Generative Image Transformer

Learning Disentangled Prompts for Compositional Image Synthesis

Image and Video Tokenization with Binary Spherical Quantization

Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers

RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection


Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation

Fine-Grained Few-Shot Classification with Feature Map Reconstruction Networks.

TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification

Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation

Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations

Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks

StarNet: towards weakly supervised few-shot detection and explainable few-shot classification


StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation

BallGAN: 3D-aware Image Synthesis with a Spherical Background

OrthoPlanes: A Novel Representation for Better 3D-Awareness of GANs

NARRATE: A Normal Assisted Free-View Portrait Stylizer


Deep-learning models of NTUA-SLP team  submitted in SemEval 2018 tasks 1, 2 and 3.

NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning

NTUA-SLP at SemEval-2018 Task 3: Tracking Ironic Tweets using Ensembles of Word and Character Level Attentive RNNs

NTUA-SLP at SemEval-2018 Task 2: Predicting Emojis using RNNs with Context-aware Attention

TERMS: textual emotion recognition in multidimensional space

Applied intelligence (Dordrecht, Netherlands)

Challenges in Emotion Style Transfer: An Exploration with a Lexical Substitution Pipeline

THU-HCSI at SemEval-2019 Task 3: Hierarchical Ensemble Classification of Contextual Emotion in Conversation

North American Chapter of the Association for Computational Linguistics

Making Your Tweets More Fancy: Emoji Insertion to Texts

Recent Advances in Natural Language Processing

Statistically Evaluating Social Media Sentiment Trends towards COVID-19 Non-Pharmaceutical Interventions with Event Studies


Deep Reinforcement Learning: An Overview

Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning

Creating Valid Adversarial Examples of Malware


The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge

The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

An attempt at beating the 3D U-Net

FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings

Kidney Tumor Detection and Classification Based on Deep Learning Approaches: A New Dataset in CT Scans

2.5D MFFAU-Net: a convolutional neural network for kidney segmentation

BMC medical informatics and decision making

Enhancing Renal Tumor Detection: Leveraging Artificial Neural Networks in Computed Tomography Analysis

Medical science monitor : international medical journal of experimental and clinical research


Include MuCAN, LAPAR, etc.

LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyond

MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution

Best-Buddy GANs for Highly Detailed Image Super-Resolution

A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU


A tool for annotation-free differential analysis of tissue-specific pre-mRNA alternative splicing patterns

The changing paradigm of intron retention: regulation, ramifications and recipes

piRNA-mediated regulation of transposon alternative splicing in the soma and germ line

Striking circadian neuron diversity and cycling of Drosophila alternative splicing

Implications of Antigen Selection on T Cell-Based Immunotherapy


Multivariate LSTM Fully Convolutional Networks for Time Series Classification

Multivariate LSTM-FCNs for Time Series Classification

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

TapNet: Multivariate Time Series Classification with Attentional Prototypical Network

THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Fake news detection: A survey of graph neural network methods

Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions

DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors

Classification of multivariate functional data on different domains with Partial Least Squares approaches

Handling Variable-Dimensional Time Series with Graph Neural Networks


A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

The Geometry of Deep Generative Image Models and its Applications

This dataset does not exist: training models from generated images

Further Analysis of Outlier Detection with Deep Generative Models

KDEformer: Accelerating Transformers via Kernel Density Estimation

PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs

Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent

FairyTailor: A Multimodal Generative Framework for Storytelling

Feasibility of Inconspicuous GAN-generated Adversarial Patches against Object Detection

Generator Surgery for Compressed Sensing

Transfer Learning with Pre-trained Conditional Generative Models


AFL/QEMU fuzzing with full-system emulation.

Fuzzing Hardware Like Software

Frankenstein: Advanced Wireless Fuzzing to Exploit New Bluetooth Escalation Targets

From Library Portability to Para-rehosting: Natively Executing Microcontroller Software on Commodity Hardware

Proceedings 2021 Network and Distributed System Security Symposium

EVMFuzz: Differential fuzz testing of Ethereum virtual machine

FIRM-COV: High-Coverage Greybox Fuzzing for IoT Firmware via Optimized Process Emulation

ECMO: Peripheral Transplantation to Rehost Embedded Linux Kernels

Conference on Computer and Communications Security

EXAMINER: automatically locating inconsistent instructions between real devices and CPU emulators for ARM

Evaluating Code Coverage for Kernel Fuzzers via Function Call Graph

Dynamic analysis of IoT systems based on full-system emulation in QEMU

Труды Института системного программирования РАН


[CVPR'19] Dataset and code used in the research project Scan2CAD: Learning CAD Model Alignment in RGB-D Scans

PatchComplete: Learning Multi-Resolution Patch Priors for 3D Shape Completion on Unseen Categories

From CAD models to soft point cloud labels: An automatic annotation pipeline for cheaply supervised 3D semantic segmentation


Code for One-shot Relational Learning for Knowledge Graphs (EMNLP18)

One-Shot Relational Learning for Knowledge Graphs

Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion

Cognitive Knowledge Graph Reasoning for One-shot Relational Learning

A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge

Data Augmentation for Few-Shot Knowledge Graph Completion from Hierarchical Perspective

International Conference on Computational Linguistics

Learning Relation-Specific Representations for Few-shot Knowledge Graph Completion

RelBERT: Embedding Relations with Language Models

Graph Stochastic Neural Process for Inductive Few-shot Knowledge Graph
  Completion


[CVPR 2021 Best Student Paper Honorable Mention, Oral] Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning on image-text and video-text tasks.

Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling

Revealing Single Frame Bias for Video-and-Language Learning

SQA3D: Situated Question Answering in 3D Scenes

AssistSR: Task-oriented Video Segment Retrieval for Personal AI Assistant

The Multi-Modal Video Reasoning and Analyzing Competition


Implementation of DeepDB: Learn from Data, not from Queries!

Are We Ready For Learned Cardinality Estimation?

Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation

FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation

A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation

SIGMOD '21: PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

FactorJoin: A New Cardinality Estimation Framework for Join Queries


Deep Reinforcement Learning For Sequence to Sequence Models

Neural Abstractive Text Summarization with Sequence-to-Sequence Models

This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation


Scripts for batch rendering models using Blender. Tested with models from stanfords shapenet library.

FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping

ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding

Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data

Three-Dimensional Reconstruction from Single Image Base on Combination of CNN and Multi-Spectral Photometric Stereo

TriCoLo: Trimodal Contrastive Loss for Text to Shape Retrieval

Three-Dimensional Reconstruction with a Laser Line Based on Image In-Painting and Multi-Spectral Photometric Stereo


MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance

BERTScore: Evaluating Text Generation with BERT

Re-evaluating Evaluation in Text Summarization

CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization

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

How well do you know your summarization datasets?

Evaluating the Efficacy of Summarization Evaluation across Languages

Metrics also Disagree in the Low Scoring Range: Revisiting Summarization Evaluation Metrics

Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References

CFSum: A Coarse-to-Fine Contribution Network for Multimodal Summarization


A phenotype-based tool for variant prioritization in WES and WGS data

DeepPVP: phenotype-based prioritization of causative variants using deep learning

Semantic prioritization of novel causative genomic variants

Artificial Intelligence and Cardiovascular Genetics

OligoPVP: Phenotype-driven analysis of individual genomic information to prioritize oligogenic disease variants


K2 systematics correction using Gaussian processes

K2SC: flexible systematics correction and detrending of K2 light curves using Gaussian process regression

Monthly Notices of the Royal Astronomical Society

Transiting exoplanet candidates from K2 Campaigns 5 and 6

Characterizing K2 Candidate Planetary Systems Orbiting Low-mass Stars. II. Planetary Systems Observed During Campaigns 1–7

Beyond the Kepler/K2 bright limit: Variability in the seven brightest members of the Pleiades

Flares in open clusters with K2

A Universal Spin–Mass Relation for Brown Dwarfs and Planets

Another Superdense Sub-Neptune in K2-182 b and Refined Mass Measurements for K2-199 b and c

Discovering planets with PLATO: Comparison of algorithms for stellar activity filtering


Pytorch port of Google Research's VGGish model used for extracting audio features.

CNN Architectures for Large-Scale Audio Classification

FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms

Continuous Emotion Recognition using Visual-audio-linguistic Information: A Technical Report for ABAW3

Multimodal Continuous Emotion Recognition: A Technical Report for ABAW5

Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming

Recursive Joint Cross-Modal Attention for Multimodal Fusion in Dimensional Emotion Recognition

Rank-based loss for learning hierarchical representations

A Hybrid Neuro-Symbolic Approach for Complex Event Processing

Using DeepProbLog to perform Complex Event Processing on an Audio Stream

Audio Embeddings as Teachers for Music Classification


The implementation of text classification using character level convoultion neural networks using Keras

Character-level Convolutional Networks for Text Classification

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Character-Aware Neural Language Models

Robustness to Programmable String Transformations via Augmented Abstract Training

Clustering High-dimensional Data via Feature Selection


Create BIOM-format tables (http://biom-format.org) from Kraken output (http://ccb.jhu.edu/software/kraken/, https://github.com/DerrickWood/kraken).

Secrets of the Hospital Underbelly: Patterns of Abundance of Antimicrobial Resistance Genes in Hospital Wastewater Vary by Specific Antimicrobial and Bacterial Family

Dental Calculus as a Tool to Study the Evolution of the Mammalian Oral Microbiome

A mouse model of occult intestinal colonization demonstrating antibiotic-induced outgrowth of carbapenem-resistant Enterobacteriaceae

Cold Acclimation in Brachypodium Is Accompanied by Changes in Above-Ground Bacterial and Fungal Communities

Shotgun metagenomics of fecal samples from children in Peru reveals frequent complex co-infections with multiple Campylobacter species

Characterization of Boxwood Shoot Bacterial Communities and Potential Impact from Fungicide Treatments

Microbiota and Resistome Analysis of Colostrum and Milk from Dairy Cows Treated with and without Dry Cow Therapies

Driving forces shaping the microbial ecology in meat packing plants

Changes in the type 2 diabetes gut mycobiome associate with metformin treatment across populations

Engineering an incubation environment that mimicsin situconditions forin vitrocoastal microbiome studies


Simple PDF text extraction

StarCoder 2 and The Stack v2: The Next Generation

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

PDFDataExtractor: A Tool for Reading Scientific Text and Interpreting Metadata from the Typeset Literature in the Portable Document Format

Journal of chemical information and modeling

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

MILDSum: A Novel Benchmark Dataset for Multilingual Summarization of Indian Legal Case Judgments

Linguini: A benchmark for language-agnostic linguistic reasoning

Pilaster: A Collection of Citation Metadata Extracted From Publications on Visualization for the Digital Humanities


This repo contains the code for ACL2020 paper "Coreference Resolution as Query-based Span Prediction"

CorefQA: Coreference Resolution as Query-based Span Prediction

Meeting of the Association for Computational Linguistics

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


The Mesoscale Microstructure Simulation Project

Rapid multiphase-field model development using a modular free energy based approach with automatic differentiation in MOOSE/MARMOT

PRISMS-PF: A general framework for phase-field modeling with a matrix-free finite element method

Tusas: A fully implicit parallel approach for coupled phase-field equations


A toolkit for visualizations in materials informatics.

A foundation model for atomistic materials chemistry

MatterGen: a generative model for inorganic materials design

MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures
  and Pressures

Systematic assessment of various universal machine-learning interatomic
  potentials

Probing out-of-distribution generalization in machine learning for
  materials


Reinforcement learning algorithms in RLlib

When to Trust Your Model: Model-Based Policy Optimization

Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation

Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling

How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization


PyTorch implementation of soft actor critic

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Soft Actor-Critic Algorithms and Applications

Variational Inference MPC for Bayesian Model-based Reinforcement Learning

Online Meta-Critic Learning for Off-Policy Actor-Critic Methods

Deep Radial-Basis Value Functions for Continuous Control

Transfer RL across Observation Feature Spaces via Model-Based Regularization

Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy

Deep Reinforcement Learning-based Rebalancing Policies for Profit Maximization of Relay Nodes in Payment Channel Networks

Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States

Value-Distributional Model-Based Reinforcement Learning


XRay Estimation and Refinement Using Similarity (XERUS)

GSAS-II: the genesis of a modern open-source all purpose crystallography software package

Comparison of dissimilarity measures for cluster analysis of X-ray diffraction data from combinatorial libraries

Automated crystal structure analysis based on blackbox optimisation

XERUS: An Open‐Source Tool for Quick XRD Phase Identification and Refinement Automation


LibRadar - A detecting tool for 3rd-party libraries in Android apps.

Beyond Google Play: A Large-Scale Comparative Study of Chinese Android App Markets

FraudDroid: Automated Ad Fraud Detection for Android Apps

Study on the Vulnerabilities of Free and Paid Mobile Apps Associated with Software Library

IEICE Transactions on Information and Systems

A Study on the Vulnerabilities of Mobiles Apps associated with Software Modules

A Study on the Vulnerabilities of Mobile Apps associated with Software Modules

Unraveling the Key of Machine Learning Solutions for Android Malware
  Detection


Partial Volume Correction in PET

Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data

Bias-adjustment in neuroimaging-based brain age frameworks: A robust scheme

Choroid Plexus Enlargement in Inflammatory Multiple Sclerosis: 3.0-T MRI and Translocator Protein PET Evaluation

Clinica: an open source software platform for reproducible clinical neuroscience studies

Disentangling the effects of Alzheimer’s and small vessel disease on white matter fibre tracts

An Automated Pipeline for the Analysis of PET Data on the Cortical Surface

Pypes: Workflows for Processing Multimodal Neuroimaging Data

Associating Type 2 Diabetes Risk Factor Genes and FDG-PET Brain Metabolism in Normal Aging and Alzheimer’s Disease

Error propagation analysis of seven partial volume correction algorithms for [18F]THK-5351 brain PET imaging


A Python wrapper of the Yandex Mystem 3.1 morphological analyzer (http://api.yandex.ru/mystem). The original tool is shipped as a binary and this library makes it easy to integrate it in Python projects. Let us know in the issues if you would like to be involved into the developments or maintenance of this project. If you have any fix or suggestion, please make a pull request. We are very open to accepting any contributions.

Creating an Aligned Russian Text Simplification Dataset from Language Learner Data

Workshop on Balto-Slavic Natural Language Processing

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

Russian trolls speaking Russian: Regional Twitter operations and MH17

Towards annotation of text worlds in a literary work


Simple web service providing a word embedding model

A comparison of word embeddings for the biomedical natural language processing

A clinical text classification paradigm using weak supervision and deep representation

Towards Deep Learning in Hindi NER: An approach to tackle the Labelled Data Scarcity

Synchronization in Interpersonal Speech

ASU: An Experimental Study on Applying Deep Learning in Twitter Named Entity Recognition.

Towards Lexical Chains for Knowledge-Graph-based Word Embeddings

Semantically Enhanced Models for Commonsense Knowledge Acquisition

A Deep Representation Empowered Distant Supervision Paradigm for Clinical Information Extraction


Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.

From Louvain to Leiden: guaranteeing well-connected communities

CDLIB: a python library to extract, compare and evaluate communities from complex networks

Descriptive vs. inferential community detection in networks: pitfalls, myths, and half-truths

Analysis and Visualization of Spatial Transcriptomic Data

Schema: metric learning enables interpretable synthesis of heterogeneous single-cell modalities

Information consumption and boundary spanning in Decentralized Online Social Networks: The case of Mastodon users

Detecting behavioural changes in human movement to inform the spatial scale of interventions against COVID-19

Besca, a single-cell transcriptomics analysis toolkit to accelerate translational research

Northstar enables automatic classification of known and novel cell types from tumor samples

A quantitative view of the structure of institutional scientific collaborations using the example of Berlin


Tools for analyzing changes in diversity across scales

Embracing scale-dependence to achieve a deeper understanding of biodiversity and its change across communities

MoB (Measurement of Biodiversity): a method to separate the scale-dependent effects of species abundance distribution, density, and aggregation on diversity change

A multiscale framework for disentangling the roles of evenness, density, and aggregation on diversity gradients


statistical models of forest carbon potential and risks


A feature engineering automation tool for learning data representations

Interaction-Transformation Evolutionary Algorithm for Symbolic Regression

Learning concise representations for regression by evolving networks of trees

Genetic programming approaches to learning fair classifiers

Genetic and Evolutionary Computation Conference


SARS-CoV-2 workflow for nanopore sequence data

Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research

SARS-CoV-2 Causes Severe Epithelial Inflammation and Barrier Dysfunction

poreCov-An Easy to Use, Fast, and Robust Workflow for SARS-CoV-2 Genome Reconstruction via Nanopore Sequencing

Emergence and Spread of a B.1.1.28-Derived P.6 Lineage with Q675H and Q677H Spike Mutations in Uruguay

Rise and Fall of SARS-CoV-2 Lineage A.27 in Germany

Molecular epidemiology of SARS-CoV-2 - a regional to global perspective


DESI 2024 III: Baryon Acoustic Oscillations from Galaxies and Quasars

Optimal Reconstruction of Baryon Acoustic Oscillations for DESI 2024

Validating the Galaxy and Quasar Catalog-Level Blinding Scheme for the
  DESI 2024 analysis

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

ELG Spectroscopic Systematics Analysis of the DESI Data Release 1


All-in-one toolbox for processing of magnetic resonance spectroscopy data.

Comparison of seven modelling algorithms for GABA-edited 1H-MRS

Importance of Linear Combination Modeling for Quantification of Glutathione and γ-Aminobutyric Acid Levels Using Hadamard-Edited Magnetic Resonance Spectroscopy

Simultaneous multi-transient linear-combination modeling of MRS data improves uncertainty estimation

bioRxiv : the preprint server for biology

Model-based frequency-and-phase correction of 1H MRS data with 2D linear-combination modeling.


Creative Commons Attribution 4.0 International

Climate data for ForestGEO sites

Warm springs alter timing but not total growth of temperate deciduous trees


COIN-OR Interior Point Optimizer IPOPT

Towards Fully Autonomous UAVs: A Survey

Complete results for a numerical evaluation of interior point solvers for large-scale optimal power flow problems.

Multi-player Equilibria Verification for Concurrent Stochastic Games

False Data Injection Attack Against Power System Small-Signal Stability

Higher-order moment portfolio optimization via difference-of-convex programming and sums-of-squares

Discrete Dynamical System Approaches for Boolean Polynomial Optimization

Correlated Equilibria and Fairness in Concurrent Stochastic Games

Practical isogeometric shape optimization: parametrization by means of regularization

Journal of Computational Design and Engineering

Balanced Identification as an Intersection of Optimization and Distributed Computing

Nonlinear Optimization


C# Data Collector for BloodHound

Defending Active Directory by Combining Neural Network based Dynamic Program and Evolutionary Diversity Optimisation

Optimizing Cyber Response Time on Temporal Active Directory Networks Using Decoys

Catch Me if You Can: Effective Honeypot Placement in Dynamic AD Attack Graphs

Enhancing Network Resilience through Machine Learning-powered Graph Combinatorial Optimization: Applications in Cyber Defense and Information Diffusion


Python Geometrical Morphing

Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems

Advanced modeling and simulation in engineering sciences

Combined Parameter and Model Reduction of Cardiovascular Problems by Means of Active Subspaces and POD-Galerkin Methods

Shape Optimization by means of Proper Orthogonal Decomposition and Dynamic Mode Decomposition

A non-intrusive approach for the reconstruction of POD modal coefficients through active subspaces

An integrated data-driven computational pipeline with model order reduction for industrial and applied mathematics

Advances in reduced order methods for parametric industrial problems in computational fluid dynamics

A Gaussian Process Regression approach within a data-driven POD framework for engineering problems in fluid dynamics

An efficient shape parametrisation by free-form deformation enhanced by active subspace for hull hydrodynamic ship design problems in open source environment

Basic Ideas and Tools for Projection-Based Model Reduction of Parametric Partial Differential Equations

Shape optimization through proper orthogonal decomposition with interpolation and dynamic mode decomposition enhanced by active subspaces


采用MegEngine实现的各种主流深度学习模型

Deep Residual Learning for Image Recognition

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

Focal Loss for Dense Object Detection

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

FCOS: Fully Convolutional One-Stage Object Detection

ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design

Simple Baselines for Human Pose Estimation and Tracking

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection

FreeAnchor: Learning to Match Anchors for Visual Object Detection


Julia package for Gaussian quadrature

Quantifying the Bayesian Evidence for a Planet in Radial Velocity Data

Fast computation of Gauss quadrature nodes and weights on the whole real line

Construction and implementation of asymptotic expansions for Laguerre-type orthogonal polynomials

Computationally efficient mechanism discovery for cell invasion with uncertainty quantification

Burgers' equation in the complex plane

Computing the matrix fractional power with the double exponential formula

Arbitrary-order asymptotic expansions of Gaussian quadrature rules with classical and generalised weight functions


Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data

White matter microstructure across the adult lifespan: A mixed longitudinal and cross-sectional study using advanced diffusion models and brain-age prediction

Neurite Exchange Imaging (NEXI): A minimal model of diffusion in gray matter with inter-compartment water exchange

Persistent white matter changes in recovered COVID-19 patients at the 1-year follow-up

Disruption of neurite morphology parallels MS progression

Neurology(R) neuroimmunology & neuroinflammation

Tau-related white-matter alterations along spatially selective pathways

Resolving bundle-specific intra-axonal T2 values within a voxel using diffusion-relaxation tract-based estimation

VERDICT‐AMICO: Ultrafast fitting algorithm for non‐invasive prostate microstructure characterization

Estimation of Tissue Microstructure Using a Deep Network Inspired by a Sparse Reconstruction Framework

White Matter Abnormalities and Cognitive Deficit After Mild Traumatic Brain Injury: Comparing DTI, DKI, and NODDI

The Myelin‐Weighted Connectome in Parkinson's Disease

Movement disorders : official journal of the Movement Disorder Society


Challenge by ENECHANGE Ltd.


Example implementation of the DeepStack algorithm for no-limit Leduc poker

DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker

Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games

OpenHoldem: A Benchmark for Large-Scale Imperfect-Information Game Research


Code for the CVPR paper "Interactive and Explainable Region-guided Radiology Report Generation"

ChEX: Interactive Localization and Region Description in Chest X-rays

The Impact of Auxiliary Patient Data on Automated Chest X-Ray Report Generation and How to Incorporate It


Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation

Improving CLIP Fine-tuning Performance

IEEE International Conference on Computer Vision

Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners


Intensity Scan Context based full SLAM implementation for autonomous driving. ICRA 2020

Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure Detection

International Conference on Robotics and Automation

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

NDD: A 3D Point Cloud Descriptor Based on Normal Distribution for Loop Closure Detection

NDT-Map-Code: A 3D global descriptor for real-time loop closure detection in lidar SLAM


Predict multiple protein conformations using sequence clustering and AlphaFold2.

Prediction of multiple conformational states by combining sequence clustering with AlphaFold2

AlphaFold2 has more to learn about protein energy landscapes

ColabFold predicts alternative protein structures from single sequences, coevolution unnecessary for AF-cluster


PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search

PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search

Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets

BNAS-v2: Memory-Efficient and Performance-Collapse-Prevented Broad Neural Architecture Search

Task-Adaptive Neural Network Search with Meta-Contrastive Learning

Mutually-aware Sub-Graphs Differentiable Architecture Search


Preprocessed Datasets for our Multimodal NER paper

Improving Multimodal Named Entity Recognition via Entity Span Detection with Unified Multimodal Transformer

ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition

Recognizing Everything from All Modalities at Once: Grounded Multimodal
  Universal Information Extraction


Gene prediction software

A chromosome-scale assembly of the sorghum genome using nanopore sequencing and optical mapping

Genetic basis of high aroma and stress tolerance in the oolong tea cultivar genome

Chromosome-scale genome assembly provides insights into the evolution and flavor synthesis of passion fruit (Passiflora edulis Sims)

Structural and Functional Annotation of Eukaryotic Genomes with GenSAS

Methods in molecular biology (Clifton, N.J.)

Genomic insights into neonicotinoid sensitivity in the solitary bee Osmia bicornis

Twelve quick steps for genome assembly and annotation in the classroom

The reference genome of Miscanthus floridulus illuminates the evolution of Saccharinae

Integrated multi‐omic data and analyses reveal the pathways underlying key ornamental traits in carnation flowers

The draft genome sequence of an upland wild rice species, Oryza granulata

Population genomics identifies genetic signatures of carrot domestication and improvement and uncovers the origin of high-carotenoid orange carrots


Suite of Predictive Controllers for Industrial Embedded Systems. A Matlab toolbox for automatic code generation of solvers for MPC controllers.

Implementation of Model Predictive Control for Tracking in Embedded Systems Using a Sparse Extended ADMM Algorithm

Implementation of MPC in embedded systems using first order methods

A Sparse ADMM-Based Solver for Linear MPC Subject to Terminal Quadratic Constraint

Tractable robust MPC design based on nominal predictions

Real-time implementation of MPC for tracking in embedded systems: Application to a two-wheeled inverted pendulum

Efficiently solving the harmonic model predictive control formulation

Harmonic model predictive control for tracking periodic references


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 Feasibility at Large-Scale and Studying Real Usage Patterns

SOK: On the Analysis of Web Browser Security

Flexible Non-intrusive Dynamic Instrumentation for WebAssembly

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

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

A Coq Mechanization of JavaScript Regular Expression Semantics

Galloping in fast-growth natural merge sorts


Open Source Carpooling Platform


LLM finetuned for medical question answering

LLaMA: Open and Efficient Foundation Language Models

Towards Mitigating Hallucination in Large Language Models via Self-Reflection

HuatuoGPT, towards Taming Language Model to Be a Doctor

Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data

Leveraging Biomolecule and Natural Language through Multi-Modal
  Learning: A Survey

Hippocrates: An Open-Source Framework for Advancing Large Language
  Models in Healthcare


Machine Learning inference engine for Microcontrollers and Embedded devices

LPWAN and Embedded Machine Learning as Enablers for the Next Generation of Wearable Devices

DNN Is Not All You Need: Parallelizing Non-neural ML Algorithms on Ultra-low-power IoT Processors

Are Microcontrollers Ready for Deep Learning-Based Human Activity Recognition?

TinyML-Based Fall Detection for Connected Personal Mobility Vehicles

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

An Open-Source Tool for Classification Models in Resource-Constrained Hardware


Command line Java Decompiler

Auto-completing Bug Reports for Android Applications

FUSION: A Tool for Facilitating and Augmenting Android Bug Reporting

Hybroid: A Novel Hybrid Android Malware Detection Framework

Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi


LaTeX source for the paper "On Evaluating Adversarial Robustness"

On Evaluating Adversarial Robustness

Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward

IEEE Communications Surveys and Tutorials

Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks


LSTM language model with CNN over characters

Character-Aware Neural Language Models

Training Very Deep Networks

Neural Summarization by Extracting Sentences and Words

Compositional Morphology for Word Representations and Language Modelling

Arabic natural language processing: An overview

Journal of King Saud University: Computer and Information Sciences


Code for GaiaUnlimited Gaia selection function tools

Improving the open cluster census

An empirical model of the Gaia DR3 selection function

Estimating the selection function of Gaia DR3 sub-samples

Constraints on the Galactic centre environment from Gaia hypervelocity stars III: insights on a possible companion to Sgr A*

Uniting Gaia and APOGEE to unveil the cosmic chemistry of the Milky Way disc

Gaia DR3 detectability of unresolved binary systems

The Stellar "Snake" -- II: The Mass Function


Face detection, tracking and clustering in videos

Context-Aware Emotion Recognition Networks

Collaborations on YouTube: From Unsupervised Detection to the Impact on Video and Channel Popularity

DIF : Dataset of Perceived Intoxicated Faces for Drunk Person Identification

DIF : Dataset of Intoxicated Faces for Drunk Person Identification.


An open-source toolkit for textual backdoor attack and defense (NeurIPS 2022 D&B, Spotlight)

A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks

Task-Agnostic Detector for Insertion-Based Backdoor Attacks

ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms

Large Language Models Are Better Adversaries: Exploring Generative Clean-Label Backdoor Attacks Against Text Classifiers

Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots


Streaming over lightweight data transformations

Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data

KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks

Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs

Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks

Automated analysis of rabbit knee calcified cartilage morphology using micro‐computed tomography and deep learning

Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography

DALib: A Curated Repository of Libraries for Data Augmentation in Computer Vision


⚡ zeus: Lightning Fast MCMC ⚡

zeus: a PYTHON implementation of ensemble slice sampling for efficient Bayesian parameter inference

Monthly notices of the Royal Astronomical Society

Ensemble slice sampling

Impact of relativistic effects on the primordial non-Gaussianity signature in the large-scale clustering of quasars

Monthly Notices of the Royal Astronomical Society

Detecting the power spectrum turnover with HI intensity mapping

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


PyTorch implementation of Contrastive Learning methods

Momentum Contrast for Unsupervised Visual Representation Learning

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

Improved Baselines with Momentum Contrastive Learning

Contrastive Multiview Coding

Self-Supervised Learning of Pretext-Invariant Representations

What Makes for Good Views for Contrastive Learning?

Instance Localization for Self-supervised Detection Pretraining

Improving Contrastive Learning by Visualizing Feature Transformation

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

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


Graph embedding techniques, applications, and performance: A survey

Representation Learning for Natural Language Processing

The Atlas for the Aspiring Network Scientist

Fusion of text and graph information for machine learning problems on networks

GEM: A Python package for graph embedding methods

FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings

Network representation learning systematic review: ancestors and current development state

Predicting partially observed processes on temporal networks by Dynamics-Aware Node Embeddings (DyANE)

Entity Thematic Similarity Measurement for Personal Explainable Searching Services in the Edge Environment

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


An R package for biomass estimation at extratropical forest plots.


Transit and Radial velocity Interactive Fitting tool for Orbital analysis and N-body simulations: The Exo-Striker

A nearby transiting rocky exoplanet that is suitable for atmospheric investigation

An ultra-short-period transiting super-Earth orbiting the M3 dwarf TOI-1685

TESS exoplanet candidates validated with HARPS archival data. A massive Neptune around GJ 143 and two Neptunes around HD 23472

TOI-1201 b: A mini-Neptune transiting a bright and moderately young M dwarf

A detailed analysis of the Gl 486 planetary system

Two Jovian Planets around the Giant Star HD 202696: A Growing Population of Packed Massive Planetary Pairs around Massive Stars?

The CARMENES search for exoplanets around M dwarfs

A Pair of Warm Giant Planets near the 2:1 Mean Motion Resonance around the K-dwarf Star TOI-2202*

Radial Velocity Survey for Planets around Young stars (RVSPY)

HD 191939 revisited: New and refined planet mass determinations, and a new planet in the habitable zone


A library for developing deep generative models in a more concise, intuitive and extendable way

Neuro-SERKET: Development of Integrative Cognitive System Through the Composition of Deep Probabilistic Generative Models

The whole brain architecture approach: Accelerating the development of artificial general intelligence by referring to the brain

Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts


Tissue-specific variant effect predictions on splicing

Machine Learning Approaches for the Prioritization of Genomic Variants Impacting Pre-mRNA Splicing

Modular modeling improves the predictions of genetic variant effects on splicing

Splicing impact of deep exonic missense variants in CAPN3 explored systematically by minigene functional assay

A Missense Mutation rs781536408 (c.2395G>A) of TYK2 Affects Splicing and Causes Skipping of Exon18 in vivo


An updated pipeline for pangenome investigation

Putative Conjugative Plasmids with tcdB and cdtAB Genes in Clostridioides difficile

Genomics of Tenacibaculum Species in British Columbia, Canada

Fluoroquinolone resistance determinants in carbapenem-resistant Escherichia coli isolated from urine clinical samples in Thailand


Second Order Optimization and Curvature Estimation with K-FAC in JAX.

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

A Self-Attention Ansatz for Ab-initio Quantum Chemistry

Deep Learning without Shortcuts: Shaping the Kernel with Tailored Rectifiers

Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures

Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels

Studying K-FAC Heuristics by Viewing Adam through a Second-Order Lens

Series of Hessian-Vector Products for Tractable Saddle-Free Newton Optimisation of Neural Networks


Fast Gene Set Enrichment Analysis

Fast gene set enrichment analysis

An algorithm for fast preranked gene set enrichment analysis using cumulative statistic calculation

Signature of long-lived memory CD8+ T cells in acute SARS-CoV-2 infection

Zenodo (CERN European Organization for Nuclear Research)

Metagenome-wide association study revealed disease-specific landscape of the gut microbiome of systemic lupus erythematosus in Japanese

Inhibition of Notch signaling rescues cardiovascular development in Kabuki Syndrome

Adenylosuccinate lyase is oncogenic in colorectal cancer by causing mitochondrial dysfunction and independent activation of NRF2 and mTOR-MYC-axis

Favorable immune checkpoint inhibitor outcome of patients with melanoma and NSCLC harboring FAT1 mutations

Helminth-induced reprogramming of the stem cell compartment inhibits type 2 immunity

Single-cell gene set enrichment analysis and transfer learning for functional annotation of scRNA-seq data

Recommendations of scRNA-seq Differential Gene Expression Analysis Based on Comprehensive Benchmarking


Loop Kernel Analysis and Performance Modeling Toolkit

Kerncraft: A Tool for Analytic Performance Modeling of Loop Kernels

Automatic Loop Kernel Analysis and Performance Modeling With Kerncraft

International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems

Offsite Autotuning Approach


A collection of TLA⁺ specifications of varying complexities

The TLA+ Toolbox

TLA+ model checking made symbolic

Proceedings of the ACM on Programming Languages

Towards an Automatic Proof of Lamport's Paxos

Greybox Fuzzing of Distributed Systems

Specification and Verification with the TLA+ Trifecta: TLC, Apalache, and TLAPS

Leveraging Applications of Formal Methods, Verification and Validation. Verification Principles

Leveraging TLA+ Specifications to Improve the Reliability of the ZooKeeper Coordination Service

Validating Traces of Distributed Programs Against TLA+ Specifications

Smart Casual Verification of the Confidential Consortium Framework

On the Significance of Consecutive Ballots in Paxos


NUMA support for Linux


Awesome-LLM: a curated list of Large Language Model

LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis

Probing LLMs for hate speech detection: strengths and vulnerabilities

No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML

An Empirical Study of Challenges in Machine Learning Asset Management

The Case for Developing a Foundation Model for Planning-like Tasks from
  Scratch


Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn

AI Benchmark: Running Deep Neural Networks on Android Smartphones

AI Benchmark: All About Deep Learning on Smartphones in 2019

Impact of Thermal Throttling on Long-Term Visual Inference in a CPU-based Edge Device

TinyML Platforms Benchmarking

Quantune: Post-training quantization of convolutional neural networks using extreme gradient boosting for fast deployment

Landing AI on Networks: An Equipment Vendor Viewpoint on Autonomous Driving Networks

IEEE Transactions on Network and Service Management

Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO

GPUReplay: A 50-KB GPU Stack for Client ML

TinyML-Based Fall Detection for Connected Personal Mobility Vehicles


The FORM project for symbolic manipulation of very big expressions

Forcer, a Form program for the parametric reduction of four-loop massless propagator diagrams

FORM version 4.2

FormTracer. A mathematica tracing package using FORM

Further developments of FORM

Nonperturbative renormalization in lattice QCD with three flavors of clover fermions: Using periodic and open boundary conditions

Why Local Search Excels in Expression Simplification

FeynGrav 2.0

The Higher-Rank Askey-Wilson Algebra and Its Braid Group Automorphisms

QMeS-Derivation: Mathematica package for the symbolic derivation of functional equations

New developments in FORM


Enarx: Confidential Computing with WebAssembly

Twine: An Embedded Trusted Runtime for WebAssembly

International Conference on Data Engineering

Swivel: Hardening WebAssembly against Spectre

SmashEx: Smashing SGX Enclaves Using Exceptions

Conference on Computer and Communications Security

undeSErVed trust: Exploiting Permutation-Agnostic Remote Attestation

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

Understanding TEE Containers, Easy to Use? Hard to Trust

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

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

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

Private Delegated Computations Using Strong Isolation


Apache Lucene open-source search software

BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity
  Text Embeddings Through Self-Knowledge Distillation

Automatic Detection of COVID-19 Vaccine Misinformation with Graph Link Prediction

Vector Search with OpenAI Embeddings: Lucene Is All You Need

ARIST: An Effective API Argument Recommendation Approach

VaccineLies: A Natural Language Resource for Learning to Recognize Misinformation about the COVID-19 and HPV Vaccines

BugPre: an intelligent software version-to-version bug prediction system using graph convolutional neural networks

CoSwID, a Code Switching Identification Method Suitable for Under-Resourced Languages

HAL (Le Centre pour la Communication Scientifique Directe)


A library for advanced large language model reasoning

Reasoning with Language Model is Planning with World Model

LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step
  Reasoning with Large Language Models

On the Empirical Complexity of Reasoning and Planning in LLMs

GameBench: Evaluating Strategic Reasoning Abilities of LLM Agents


Formally-verified reference monitor for a secure isolated execution ("enclave") environment on ARM TrustZone

Komodo: Using verification to disentangle secure-enclave hardware from software

Symposium on Operating Systems Principles

Towards a Formally Verified Security Monitor for VM-based Confidential Computing


Scenario analysis notebooks for the IPCC Special Report on Global Warming of 1.5°C


Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

Deep Evidential Regression

The Unreasonable Effectiveness of Deep Evidential Regression

Quantifying uncertainty of machine learning methods for loss given default

Frontiers in Applied Mathematics and Statistics

Why Calibration Error is Wrong Given Model Uncertainty: Using Posterior Predictive Checks with Deep Learning


Barcode demultiplex for Illumina I1, R1, R2 fastq.gz files

Targeting zonulin and intestinal epithelial barrier function to prevent onset of arthritis

Discovery of synthetic lethal and tumor suppressor paralog pairs in the human genome

Dynamics of dark fermentation microbial communities in the light of lactate and butyrate production

Impact of DNA Sequencing and Analysis Methods on 16S rRNA Gene Bacterial Community Analysis of Dairy Products

Sexual practices have a significant impact on the vaginal microbiota of women who have sex with women

Production of Naturally γ-Aminobutyric Acid-Enriched Cheese Using the Dairy Strains Streptococcus thermophilus 84C and Lactobacillus brevis DSM 32386

Feeding with Sustainably Sourdough Bread Has the Potential to Promote the Healthy Microbiota Metabolism at the Colon Level

Dynamics and Complexity of Dark Fermentation Microbial Communities Producing Hydrogen From Sugar Beet Molasses in Continuously Operating Packed Bed Reactors

Dynamics of Gut Microbiota Recovery after Antibiotic Exposure in Young and Old Mice (A Pilot Study)

Changes in Soil Microbial Communities across an Urbanization Gradient: A Local-Scale Temporal Study in the Arid Southwestern USA


Code for Federated Learning with Matched Averaging, ICLR 2020.

FedLab: A Flexible Federated Learning Framework

Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation

Federated Learning with Position-Aware Neurons

Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey


Stochastic Video Generation with a Learned Prior

Physion: Evaluating Physical Prediction from Vision in Humans and Machines

Goal-Aware Prediction: Learning to Model What Matters

A General Method for Amortizing Variational Filtering

Noether Networks: Meta-Learning Useful Conserved Quantities

On the Choice of Perception Loss Function for Learned Video Compression

Video Reenactment as Inductive Bias for Content-Motion Disentanglement


[ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

The Open Catalyst 2020 (OC20) Dataset and Community Challenges

Proceedings of the International Conference on Electrocatalysis for Energy Applications and Sustainable Chemicals

Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs

Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs


Dataset of diseased plant leaf images and corresponding labels

Identification of Plant-Leaf Diseases Using CNN and Transfer-Learning Approach

A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases

Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques

Cardamom Plant Disease Detection Approach Using EfficientNetV2

Convolutional Neural Network for Automatic Identification of Plant Diseases with Limited Data

DiaMOS Plant: A Dataset for Diagnosis and Monitoring Plant Disease

Improving Image-Based Plant Disease Classification With Generative Adversarial Network Under Limited Training Set

Automatic Fuzzy Logic-Based Maize Common Rust Disease Severity Predictions with Thresholding and Deep Learning

A CNN-based image detector for plant leaf diseases classification

Resources for image-based high-throughput phenotyping in crops and data sharing challenges


This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu

Crack Segmentation on UAS-based Imagery using Transfer Learning

Automated Crack Detection via Semantic Segmentation Approaches Using Advanced U-Net Architecture

Manifolds for Unsupervised Visual Anomaly Detection

Fine-tuning vision foundation model for crack segmentation in civil infrastructures


The official code for “DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction”, ACM MM, Oral Paper, 2021.

DocScanner: Robust Document Image Rectification with Progressive Learning

Marior: Margin Removal and Iterative Content Rectification for Document Dewarping in the Wild

Unfolder: Fast localization and image rectification of a document with a crease from folding in half


GRTensorIII package for Maple

Computer algebra in gravity research

Coulombic contribution to angular momentum flux in general relativity

Testing gravity with black hole shadow subrings

Symbolic tensor calculus on manifolds: a SageMath implementation

Spacetimes with a vanishing second Ricci invariant

Quasilocal energy of a rotating object described by Kerr spacetime

Pytearcat: PYthon TEnsor AlgebRa calCulATor A python package for general relativity and tensor calculus

Israel coordinates for all static spherically symmetric spacetimes with vanishing second Ricci invariant

Does a Nash theory of gravity make dark energy superfluous

Spherical and plane symmetric solutions in macroscopic gravity


Ruleset covering algorithms for transparent machine learning

Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach

Differentiable Rule Induction with Learned Relational Features

SIBILA: A novel interpretable ensemble of general-purpose machine learning models applied to medical contexts


Transition-based tree-to-graph AMR Parser

An Incremental Parser for Abstract Meaning Representation

A Transition-based Algorithm for AMR Parsing

North American Chapter of the Association for Computational Linguistics

SemEval-2017 Task 9: Abstract Meaning Representation Parsing and Generation

Meeting of the Association for Computational Linguistics

RIGA at SemEval-2016 Task 8: Impact of Smatch Extensions and Character-Level Neural Translation on AMR Parsing Accuracy

Semi-supervised New Event Type Induction and Event Detection

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP)

SemBleu: A Robust Metric for AMR Parsing Evaluation

Augmenting Abstract Meaning Representation for Human-Robot Dialogue

Proceedings of the First International Workshop on Designing Meaning Representations

AMR Normalization for Fairer Evaluation

Parsing Meaning Representations: Is Easier Always Better?


Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning

An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility

Multi-agent reinforcement learning for autonomous vehicles: a survey


Variational Adversarial Active Learning (ICCV 2019)

Variational Adversarial Active Learning

Data-Efficient Learning via Minimizing Hyperspherical Energy

Graceful Degradation and Related Fields


Visualization of NBA games from raw SportVU data logs

Generative Modeling of Multimodal Multi-Human Behavior

Modeling Player and Team Performance in Basketball

Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational Reasoning

tHoops: A Multi-Aspect Analytical Framework Spatio-Temporal Basketball Data

Generative Attention Networks for Multi-Agent Behavioral Modeling

THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

baller2vec: A Multi-Entity Transformer For Multi-Agent Spatiotemporal Modeling

Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning

Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts

Interaction Modeling with Multiplex Attention

baller2vec++: A Look-Ahead Multi-Entity Transformer For Modeling Coordinated Agents


Circle plot with bundled edges

Prognostic Ability of Enhancer RNAs in Metastasis of Non-Small Cell Lung Cancer

Cancer predisposition signaling in Beckwith-Wiedemann Syndrome drives Wilms tumor development

Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis


[CVPR2022 oral] A Simple and Effective Baseline for Text-to-Image Synthesis

DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis

GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis

Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks


DualGAN-tensorflow: tensorflow implementation of DualGAN

DualGAN: Unsupervised Dual Learning for Image-to-Image Translation

Asymmetric GAN for Unpaired Image-to-Image Translation

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

CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image Transformation

PCSGAN: Perceptual cyclic-synthesized generative adversarial networks for thermal and NIR to visible image transformation

DC-cycleGAN: Bidirectional CT-to-MR Synthesis from Unpaired Data

CDGAN: Cyclic Discriminative Generative Adversarial Networks for Image-to-Image Transformation

TVA-GAN: Attention Guided Generative Adversarial Network For Thermal To Visible Face Transformations

End-to-end translation of human neural activity to speech with a dual-dual generative adversarial network


The MaPLe compiler for efficient and scalable parallel functional programming

Provably space-efficient parallel functional programming

Symposium on Principles of Programming Languages

Entanglement detection with near-zero cost

Proceedings of the ACM on programming languages

DisLog: A Separation Logic for Disentanglement


Data-Driven Sentence Simplification: Survey and Benchmark

International Conference on Computational Logic

EASSE: Easier Automatic Sentence Simplification Evaluation

ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations

The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification

Controllable Sentence Simplification with a Unified Text-to-Text Transfer Transformer

Proceedings of the 14th International Conference on Natural Language Generation

Text Simplification by Tagging

Multilingual Unsupervised Sentence Simplification

EditEval: An Instruction-Based Benchmark for Text Improvements

An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages

Sentence Simplification via Large Language Models


PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

GAMI-Net: An Explainable Neural Network based on Generalized Additive Models with Structured Interactions

Unwrapping The Black Box of Deep ReLU Networks: Interpretability, Diagnostics, and Simplification

Designing Inherently Interpretable Machine Learning Models

Reduced Effectiveness of Kolmogorov-Arnold Networks on Functions with Noise

PiML Toolbox for Interpretable Machine Learning Model Development and Diagnostics

KAN versus MLP on Irregular or Noisy Functions


Subtype and Stage Inference (SuStaIn) algorithm with an example using simulated data.

Multiple Sclerosis Diagnosis Using Machine Learning and Deep Learning: Challenges and Opportunities

pySuStaIn: a Python implementation of the Subtype and Stage Inference algorithm

Data-driven neuropathological staging and subtyping of TDP-43 proteinopathies

medRxiv : the preprint server for health sciences

Two distinct trajectories of clinical and neurodegeneration events in Parkinson’s disease

Clustering Interval-Censored Time-Series for Disease Phenotyping

Transferability of Alzheimer's disease progression subtypes to an independent population cohort

Novel data-driven subtypes and stages of brain atrophy in the ALS-FTD spectrum

Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning

Distinct spatiotemporal patterns of cortical thinning in Alzheimer’s disease-type cognitive impairment and subcortical vascular cognitive impairment

Uncovering distinct progression patterns of tau deposition in progressive supranuclear palsy using [18F]Florzolotau PET imaging and subtype/stage inference algorithm


Kernel Current Source Density

Modelling And Analysis Of Electrical Potentials Recorded In Microelectrode Arrays (MEAs)

Cross-population coupling of neural activity based on Gaussian process current source densities

Local contribution to the somatosensory evoked potentials in rat’s thalamus


TPRF: The Two-Particle Response Function tool box for TRIQS

Strongly correlated materials from a numerical renormalization group
  perspective: How the Fermi-liquid state of Sr_2RuO_4 emerges

Magnetic response of Sr 2 RuO 4 : Quasi-local spin fluctuations due to Hund's coupling

Distinct spin and orbital dynamics in Sr_2RuO_4

Larmor precession in strongly correlated itinerant electron systems

Dual Bethe-Salpeter equation for the multi-orbital lattice susceptibility within dynamical mean-field theory

Second-order phase transitions and divergent linear response in dynamical mean-field theory


Awesome Remote Sensing Toolkit based on PaddlePaddle.

A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection

Remote Sensing Image Change Detection With Transformers

IEEE Transactions on Geoscience and Remote Sensing

A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images

ISPRS Journal of Photogrammetry and Remote Sensing

SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images

IEEE Geoscience and Remote Sensing Letters

A Transformer-Based Siamese Network for Change Detection

Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery

FCCDN: Feature Constraint Network for VHR Image Change Detection

Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery

Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images


robomimic: A Modular Framework for Robot Learning from Demonstration

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

Learning and Retrieval from Prior Data for Skill-based Imitation Learning

When should we prefer Decision Transformers for Offline Reinforcement Learning?

Leveraging Locality to Boost Sample Efficiency in Robotic Manipulation


Python package to retrieve data from Databank Ondergrond Vlaanderen (DOV)


Google's differential privacy libraries.

Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.1)

How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy

LinkedIn's Audience Engagements API

Privacy in targeted advertising: A survey

Composition of Differential Privacy & Privacy Amplification by Subsampling

Connect the Dots: Tighter Discrete Approximations of Privacy Loss Distributions

Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning

FriendlyCore: Practical Differentially Private Aggregation

Google COVID-19 Search Trends Symptoms Dataset: Anonymization Process Description (version 1.0)

Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment


Linear Collider I/O

The International Linear Collider: Report to Snowmass 2021

HAL (Le Centre pour la Communication Scientifique Directe)

Strange quark as a probe for new physics in the Higgs sector

Performance of Julia for High Energy Physics Analyses

ILC Study Questions for Snowmass 2021

The mini-DST: a high-level LCIO format


An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

Language Models are Few-Shot Learners

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

Program Synthesis with Large Language Models

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

Emergent and Predictable Memorization in Large Language Models

NaturalProver: Grounded Mathematical Proof Generation with Language Models

Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features

Transformer models: an introduction and catalog

ToD4IR: A Humanised Task-Oriented Dialogue System for Industrial Robots

Large Language Models are not Models of Natural Language: they are Corpus Models


ChIP-seq peak-calling, QC and differential analysis pipeline.

Dynamic transcriptional reprogramming leads to immunotherapeutic vulnerabilities in myeloma

Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters

International Conference on Statistical and Scientific Database Management

Functional, structural, and molecular characterizations of the leukemogenic driver MEF2D-HNRNPUL1 fusion

A distinct core regulatory module enforces oncogene expression in KMT2A-rearranged leukemia

Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures

Injury primes mutation-bearing astrocytes for dedifferentiation in later life

Lotaru: Locally predicting workflow task runtimes for resource management on heterogeneous infrastructures

Integrated 3D genome, epigenome and transcriptome analyses reveal transcriptional coordination of circadian rhythm in rice

LncRNA TCONS_00323213 Promotes Myogenic Differentiation by Interacting with PKNOX2 to Upregulate MyoG in Porcine Satellite Cells

International journal of molecular sciences

Leukemia core transcriptional circuitry is a sparsely interconnected hierarchy stabilized by incoherent feed-forward loops

bioRxiv : the preprint server for biology


Beautiful Algorithms to Normalize Zillions of Astronomical Images

Real-time processing of the imaging data from the network of Las Cumbres Observatory Telescopes using BANZAI

Software and Cyberinfrastructure for Astronomy V

A White Dwarf with Transiting Circumstellar Material Far outside the Roche Limit

Two New Calcium-rich Gap Transients in Group and Cluster Environments

The Broadband Counterpart of the Short GRB 200522A at z = 0.5536: A Luminous Kilonova or a Collimated Outflow with a Reverse Shock?

The First Post-Kepler Brightness Dips of KIC 8462852

The complex evolution of the X-ray binary transient MAXI J1807+132 along the decay of its discovery outburst

Monthly notices of the Royal Astronomical Society

Modeling the Spectral Energy Distributions and Spectropolarimetry of Blazars—Application to 4C+01.02 in 2016–2017*

Cosmic-CoNN: A Cosmic-Ray Detection Deep-learning Framework, Data Set, and Toolkit

Long-Term Monitoring of Throughput in Las Cumbres Observatory's Fleet of Telescopes

A long life of excess: The interacting transient SN 2017hcc


A Python library to extract tabular data from PDFs

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

TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables

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

Graph Neural Networks and Representation Embedding for Table Extraction in PDF Documents

An Interpretable Deep Learning System for Automatically Scoring Request for Proposals

When Giant Language Brains Just Aren't Enough! Domain Pizzazz with Knowledge Sparkle Dust

LaTeX Rainbow: Universal LaTeX to PDF Document Semantic & Layout Annotation Framework

Proceedings of the Second Workshop on Information Extraction from Scientific Publications


(ICCV 2019) Uncertainty-aware Face Representation and Recognition

Probabilistic Face Embeddings

SDD-FIQA: Unsupervised Face Image Quality Assessment with Similarity Distribution Distance

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability

Improving the Head Pose Variation Problem in Face Recognition for Mobile Robots

Canonical Face Embeddings

State of the Art of Quality Assessment of Facial Images


UCSC command line bioinformatic utilities

An atlas of dynamic chromatin landscapes in mouse fetal development

Single cell RNA-seq and ATAC-seq analysis of cardiac progenitor cell transition states and lineage settlement

Platanus-allee is a de novo haplotype assembler enabling a comprehensive access to divergent heterozygous regions

Transcription-driven chromatin repression of Intragenic transcription start sites

Enhancer remodeling promotes tumor-initiating activity in NRF2-activated non-small cell lung cancers

Evolutionary history and pan-genome dynamics of strawberry (Fragaria spp.).

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

A metaanalysis of bat phylogenetics and positive selection based on genomes and transcriptomes from 18 species

Neuroblast-specific open chromatin allows the temporal transcription factor, Hunchback, to bind neuroblast-specific loci

Adaptive sequence divergence forged new neurodevelopmental enhancers in humans

The transposable element-rich genome of the cereal pest Sitophilus oryzae


A pytorch implementation of On the Automatic Generation of Medical Imaging Reports.

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL), VOL 1

DeltaNet:Conditional Medical Report Generation for COVID-19 Diagnosis

Feature Difference Makes Sense: A medical image captioning model exploiting feature difference and tag information

Meeting of the Association for Computational Linguistics


This repo contains code and a pre-trained model for clothes segmentation.

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

Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing

USR: Unsupervised Separated 3D Garment and Human Reconstruction via Geometry and Semantic Consistency

Multimodal-Conditioned Latent Diffusion Models for Fashion Image Editing


Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours

Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization

Single-Path NAS: Device-Aware Efficient ConvNet Design