Workshop on measuring, analyzing, and visualizing the 3D genome with Hi-C data.

Iterative correction of Hi-C data reveals hallmarks of chromosome organization

HiGlass: web-based visual exploration and analysis of genome interaction maps

The Hitchhiker’s guide to Hi-C analysis: Practical guidelines

Hi-C 2.0: An optimized Hi-C procedure for high-resolution genome-wide mapping of chromosome conformation

Liquid chromatin Hi-C characterizes compartment-dependent chromatin interaction dynamics

HiPiler: Visual Exploration of Large Genome Interaction Matrices with Interactive Small Multiples

Iteratively improving Hi-C experiments one step at a time

Three invariant Hi-C interaction patterns: applications to genome assembly


Moola optimisation package

Automatic shape derivatives for transient PDEs in FEniCS and Firedrake

An iteration count estimate for a mesh-dependent steepest descent method based on finite elements and Riesz inner product representation

Another source of mesh dependence in topology optimization


Portable RISC-V System-on-Chip implementation: RTL, debugger and simulators

Node Monitoring as a Fault Detection Countermeasure against Information Leakage within a RISC-V Microprocessor


A python toolkit for rendering populations of dark matter halos for gravitational lensing simulations

Strong lensing signatures of self-interacting dark matter in low-mass haloes

Monthly notices of the Royal Astronomical Society

Quantum fluctuations masquerade as haloes: bounds on ultra-light dark matter from quadruply imaged quasars

The primordial matter power spectrum on sub-galactic scales

Constraining resonant dark matter self-interactions with strong gravitational lenses

Strong lensing constraints on primordial black holes as a dark matter candidate

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

Anisotropic strong lensing as a probe of dark matter self-interactions

An analytic surface density profile for ΛCDM halos and gravitational lensing studies

Turbocharging constraints on dark matter substructure through a synthesis of strong lensing flux ratios and extended lensed arcs


SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.

Online Forecasting and Anomaly Detection Based on the ARIMA Model

Outlier Detection using AI: A Survey

Unsupervised Offline Changepoint Detection Ensembles

Hybridization of Capsule and LSTM Networks for unsupervised anomaly detection on multivariate data

A Survey of Time Series Anomaly Detection Methods in the AIOps Domain


Decision Intelligence Platform for Autonomous Driving simulation.

SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles

Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining

ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling

Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving


rsHRF: A Toolbox for Resting State HRF Deconvolution and Connectivity Analysis (MATLAB)

A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data

rsHRF: A toolbox for resting-state HRF estimation and deconvolution

Distinction of High- and Low-Frequency Repetitive Transcranial Magnetic Stimulation on the Functional Reorganization of the Motor Network in Stroke Patients


An Open-source Neural Hierarchical Multi-label Text Classification Toolkit

DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification

MATCH: Metadata-Aware Text Classification in A Large Hierarchy

Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach

E-ConvRec: A Large-Scale Conversational Recommendation Dataset for E-Commerce Customer Service

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


A curated list of resources dedicated to reinforcement learning applied to cyber security.

Optimal Defense Policies for Partially Observable Spreading Processes on Bayesian Attack Graphs

Proceedings of the Second ACM Workshop on Moving Target Defense

Power control with reinforcement learning in cooperative cognitive radio networks against jamming

Dynamic Scheduling of Cybersecurity Analysts for Minimizing Risk Using Reinforcement Learning

ACM Transactions on Intelligent Systems and Technology

Adaptive Honeypot Engagement Through Reinforcement Learning of Semi-Markov Decision Processes

Reinforcement Learning Algorithms for Adaptive Cyber Defense against Heartbleed

Enhancing Machine Learning Based Malware Detection Model by Reinforcement Learning

Proceedings of the 8th International Conference on Communication and Network Security

Adaptive Cyber Defense Against Multi-Stage Attacks Using Learning-Based POMDP

ACM Transactions on Privacy and Security

Detecting Stealthy Botnets in a Resource-Constrained Environment using Reinforcement Learning

Proceedings of the 2017 Workshop on Moving Target Defense

Autonomous Network Defence using Reinforcement Learning

Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security

Link: Black-Box Detection of Cross-Site Scripting Vulnerabilities Using Reinforcement Learning


A list of interesting genome browser or genome-browser-like implementations

Tasks, Techniques, and Tools for Genomic Data Visualization

Computer graphics forum : journal of the European Association for Computer Graphics

svist4get: a simple visualization tool for genomic tracks from sequencing experiments

RepViz: a replicate-driven R tool for visualizing genomic regions


VGP repository for the genome assembly working group

Towards complete and error-free genome assemblies of all vertebrate species

Merqury: reference-free quality, completeness, and phasing assessment for genome assemblies

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

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

Complete vertebrate mitogenomes reveal widespread repeats and gene duplications

Evolutionary and biomedical insights from a marmoset diploid genome assembly

A new duck genome reveals conserved and convergently evolved chromosome architectures of birds and mammals

A haplotype-resolved, de novo genome assembly for the wood tiger moth (Arctia plantaginis) through trio binning

A chromosome-level reference genome and pangenome for barn swallow population genomics

Centuries of genome instability and evolution in soft-shell clam, Mya arenaria, bivalve transmissible neoplasia


Examples of Ontop in related publications and tutorials

Efficient Handling of SPARQL OPTIONAL for OBDA (Extended Version)

Beyond OWL 2 QL in OBDA: Rewritings and Approximations

How to Stay Ontop of Your Data: Databases, Ontologies and More

SEMANTIC WEB: ESWC 2015 SATELLITE EVENTS

OBDA Constraints for Effective Query Answering (Extended Version)

Mapping Patterns for Virtual Knowledge Graphs

Cost-Driven Ontology-Based Data Access (Extended Version)


Consensus calling (or "reference assisted assembly"), chiefly of ancient mitochondria

Assembly by Reduced Complexity (ARC): a hybrid approach for targeted assembly of homologous sequences.

Abundant Genetic Diversity of Yunling Cattle Based on Mitochondrial Genome

Animals : an open access journal from MDPI

Ancient DNA Resolves the History of Tetragnatha (Araneae, Tetragnathidae) Spiders on Rapa Nui

Ancient DNA from a 2700-year-old goitered gazelle (Gazella subgutturosa) supports gazelle hunting in Iron Age Central Asia

Genomic analyses of Asiatic Mouflon in Iran provide insights into the domestication and evolution of sheep


HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution

DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome

Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling

GenBench: A Benchmarking Suite for Systematic Evaluation of Genomic Foundation Models


This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of the 35th International Conference on Machine Learning (ICML). 2018. to assess the disentanglement properties of unsupervised learning methods.

Algorithmic fairness datasets: the story so far

Learning disentangled representations in the imaging domain

Disentangled Representation Learning

Attribute-based Regularization of Latent Spaces for Variational Auto-Encoders

Transferring Fairness under Distribution Shifts via Fair Consistency Regularization

Concept Embedding Analysis: A Review

Equivariant Representation Learning via Class-Pose Decomposition

dMelodies: A Music Dataset for Disentanglement Learning

Gromov-Wasserstein Autoencoders

Robust Generative Restricted Kernel Machines using Weighted Conjugate Feature Duality


The StarCraft Multi-Agent Challenge

FACMAC: Factored Multi-Agent Centralised Policy Gradients

ERL-Re^2: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation

Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game


Implementation for the Neural Logic Machines (NLM).

End-To-End Memory Networks

Neural Logic Machines

Abductive Knowledge Induction From Raw Data

Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks

Neuro-Symbolic AI: An Emerging Class of AI Workloads and their Characterization

Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces


:dragon: :fly: Assemble bacterial isolate genomes from Nanopore reads

Plassembler: an automated bacterial plasmid assembly tool

Long-Read Sequencing and Hybrid Assembly for Genomic Analysis of Clinical Brucella melitensis Isolates

The Ability of Shiga Toxin-Producing Escherichia coli to Grow in Raw Cow’s Milk Stored at Low Temperatures

Enteropathogenic Providencia alcalifaciens: A Subgroup of P. alcalifaciens That Causes Diarrhea


End-to-end speech recognition on AISHELL dataset.

Effective Approaches to Attention-based Neural Machine Translation

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Attention-Based Models for Speech Recognition

Listen, Attend and Spell


White blood cell (WBC) image datasets

Automated Diagnosis of Leukemia: A Comprehensive Review

A Semiautomatic Multi-Label Color Image Segmentation Coupling Dirichlet Problem and Colour Distances

Computational Intelligence Method for Detection of White Blood Cells Using Hybrid of Convolutional Deep Learning and SIFT

Computational and mathematical methods in medicine

White Blood Cell Classification Using Texture and RGB Features of Oversampled Microscopic Images

Rethinking the Dilated Encoder in TE-YOLOF: An Approach Based on Attention Mechanism to Improve Performance for Blood Cell Detection

International journal of molecular sciences


Highly accurate protein structure prediction with AlphaFold

ColabFold - Making protein folding accessible to all

SPEACH_AF: Sampling protein ensembles and conformational heterogeneity with Alphafold2

Modeling Alternate Conformations with Alphafold2 via Modification of the Multiple Sequence Alignment


Code and data for the experiments in "On Fairness and Calibration"

Equality of Opportunity in Supervised Learning

On Fairness and Calibration

Fairness for Robust Log Loss Classification

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

Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification

Learning from Discriminatory Training Data

Multiple Attribute Fairness: Application to Fraud Detection


Yarpiz Evolutionary Algorithms Toolbox for MATLAB

Assessing Ranking and Effectiveness of Evolutionary Algorithm Hyperparameters Using Global Sensitivity Analysis Methodologies

Biogeography-Based Optimization of RC structures including static soil-structure interaction

Parameter Tuning Strategies for Metaheuristic Methods Applied to Discrete Optimization of Structural Design


A library of translation-based text similarity measures

No Language Left Behind: Scaling Human-Centered Machine Translation

SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages

NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures

T-Projection: High Quality Annotation Projection for Sequence Labeling Tasks


Unofficial Implementation of MLP-Mixer, gMLP, resMLP, Vision Permutator, S2MLP, S2MLPv2, RaftMLP, HireMLP, ConvMLP, AS-MLP, SparseMLP, ConvMixer, SwinMLP, RepMLPNet, WaveMLP, MorphMLP, DynaMixer, MS-MLP, Sequencer2D in Jittor and PyTorch! Now, Rearrange and Reduce in einops.layers.jittor are support!! trunc_normal_ is supported for Jittor!! MLP Paper is uploaded!

MLP-Mixer: An all-MLP Architecture for Vision

ResMLP: Feedforward networks for image classification with data-efficient training

Pay Attention to MLPs

Global Filter Networks for Image Classification

CycleMLP: A MLP-like Architecture for Dense Prediction

AS-MLP: An Axial Shifted MLP Architecture for Vision

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

Hire-MLP: Vision MLP via Hierarchical Rearrangement

Sparse MLP for Image Recognition: Is Self-Attention Really Necessary?

Are we ready for a new paradigm shift? A Survey on Visual Deep MLP


Fpop implementation for robust losses

An Evaluation of Change Point Detection Algorithms

Changepoint Detection in the Presence of Outliers

In Datacenter Performance, The Only Constant Is Change

Scalable Bayesian change point detection with spike and slab priors

Multiscale Quantile Regression with Local Error Control


Official code repository for Instance Selection for GANs.

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Instance Selection for GANs


This is the python implementation of Tensor-CSPNet and Graph-CSPNet.

Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification

IEEE transactions on neural networks and learning systems

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

Score-Based Data Generation for EEG Spatial Covariance Matrices: Towards Boosting BCI Performance


distributed version of product-nets

Product-based Neural Networks for User Response Prediction

Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data

User Response Prediction in Online Advertising

The Sample Complexity of Online One-Class Collaborative Filtering


Creative Commons Attribution 4.0 International

CORD: A Consolidated Receipt Dataset for Post-OCR Parsing

Post-OCR parsing: building simple and robust parser via BIO tagging

DocILE Benchmark for Document Information Localization and Extraction

FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction

Transformers and Language Models in Form Understanding: A Comprehensive
  Review of Scanned Document Analysis

Key Information Extraction in Purchase Documents using Deep Learning and Rule-based Corrections


Wuhan Corona (COVID-19) patients dataset

Blockchain-Federated-Learning and Deep Learning Models for COVID-19 Detection Using CT Imaging

A comprehensive review of federated learning for COVID‐19 detection

International journal of intelligent systems

Deep neural networks ensemble to detect COVID-19 from CT scans

A Survey of Machine Learning Techniques for Detecting and Diagnosing COVID-19 from Imaging

Blockchain based Privacy-Preserved Federated Learning for Medical Images: A Case Study of COVID-19 CT Scans


A pipeline for Bacterial Whole genome sequence data analysis

IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies

fastp: an ultra-fast all-in-one FASTQ preprocessor

Interactive metagenomic visualization in a Web browser

Centrifuge: rapid and sensitive classification of metagenomic sequences

VcfR: a package to manipulate and visualize VCF format data in R

heatmaply: an R package for creating interactive cluster heatmaps for online publishing

The Bacteria Genome Pipeline (BAGEP): an automated, scalable workflow for bacteria genomes with Snakemake


AAMO: Another Android Malware Obfuscator

Black box analysis of android malware detectors

PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks

FirmwareDroid: Security Analysis of the Android Firmware EcoSystem


Source code to our paper: "Learning a Variational Network for Reconstruction of Accelerated MRI Data"

On instabilities of deep learning in image reconstruction and the potential costs of AI

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

On learning optimized reaction diffusion processes for effective image restoration

Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues

GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction

VS-Net: Variable splitting network for accelerated parallel MRI reconstruction

SANTIS: Sampling-Augmented Neural neTwork with Incoherent Structure for MR image reconstruction

Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction

Deep, Deep Learning with BART

XCloud-pFISTA: A Medical Intelligence Cloud for Accelerated MRI

A review of deep learning methods for MRI reconstruction.


Anomaly detection on X-Ray MURA dataset using GAN.

Adversarial Feature Learning

Adversarially Learned Inference

Variational Approaches for Auto-Encoding Generative Adversarial Networks


MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

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

A Comprehensive Survey on Community Detection With Deep Learning

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

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

Graph Learning based Recommender Systems: A Review

DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks

Multiplex Heterogeneous Graph Convolutional Network

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Characterizing and Understanding HGNNs on GPUs

Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network

SHGNN: Structure-Aware Heterogeneous Graph Neural Network


[AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients

Communication-Efficient Learning of Deep Networks from Decentralized Data

Tackling Data Heterogeneity in Federated Learning with Class Prototypes

FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks


Slimmable Compressive Autoencoders for Practical Neural Image Compression

End-to-end Optimized Image Compression

Variational image compression with a scale hyperprior

Lossy Image Compression with Compressive Autoencoders


[IEEE TIP'2021] "UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content", Zhengzhong Tu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik

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

Video Quality Assessment of User Generated Content: A Benchmark Study and a New Model

International Conference on Information Photonics

VMAF And Variants: Towards A Unified VQA

Video Quality Analysis: Steps towards Unifying Full and No Reference Cases

GAIA: Rethinking Action Quality Assessment for AI-Generated Videos


SCAFFOLD and FedAvg implementation

SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Over-the-Air Federated Learning From Heterogeneous Data

On Analog Gradient Descent Learning Over Multiple Access Fading Channels


:eyes: DeepSeeNet is a deep learning framework for classifying patient-based age-related macular degeneration severity in retinal color fundus photographs.

DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs

A deep learning approach for automated detection of geographic atrophy from color fundus photographs

A multi-task deep learning model for the classification of Age-related Macular Degeneration


ProxQuant: Quantized Neural Networks via Proximal Operators

QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning

Mirror Descent View for Neural Network Quantization

Proximal Mean-field for Neural Network Quantization


A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?

A critical look at the evaluation of GNNs under heterophily: are we really making progress?

OpenGSL: A Comprehensive Benchmark for Graph Structure Learning

Simple and Asymmetric Graph Contrastive Learning without Augmentations

Clarify Confused Nodes Through Separated Learning


Some recent Quantizing techniques on PyTorch

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Convolutional Neural Networks using Logarithmic Data Representation


Official git for "CTAB-GAN: Effective Table Data Synthesizing"

CTAB-GAN+: Enhancing Tabular Data Synthesis

TabuLa: Harnessing Language Models for Tabular Data Synthesis

Generative Modeling of Complex Data

ConvGeN: Convex space learning improves deep-generative oversampling for tabular imbalanced classification on smaller datasets


12000+ manually drawn pixel-level lung segmentations, with and without covid

Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images

Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest X-Ray Images

Generalization Challenges in Drug-Resistant Tuberculosis Detection from Chest X-rays

On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets

Impartially Validated Multiple Deep-Chain Models to Detect COVID-19 in Chest X-ray Using Latent Space Radiomics

Calibrated bagging deep learning for image semantic segmentation: A case study on COVID-19 chest X-ray image

Unsupervised SAR Imagery Feature Learning with Median Filter-Based Loss Value


Documentation and scripts related to the .nnet file format. This file format specifies a simple text file to define feed-forward, fully-connected, ReLU activated neural networks. Example networks in this format can be found in the Reluplex repository.

Simplifying Neural Networks using Formal Verification

Verifying Quantized Neural Networks using SMT-Based Model Checking

Provable Preimage Under-Approximation for Neural Networks


Any Way to Show  Multi genomic Synteny

NGenomeSyn: an easy-to-use and flexible tool for publication-ready visualization of syntenic relationships across multiple genomes

Genomic analyses of rice bean landraces reveal adaptation and yield related loci to accelerate breeding

Differences in pseudogene evolution contributed to the contrasting flavors of turnip and Chiifu, two Brassica rapa subspecies

Integrated analyses reveal evolutionarily conserved and specific injury response genes in dorsal root ganglion

Complete Mitogenome and Phylogenetic Analysis of the Carthamus tinctorius L.


Tests for the equality of coefficients of variation from multiple groups

Medical Diagnostic Tests: A Review of Test Anatomy, Phases, and Statistical Treatment of Data

Natural variation in autumn expression is the major adaptive determinant distinguishing Arabidopsis FLC haplotypes

Within-Population Genome Size Variation is Mediated by Multiple Genomic Elements That Segregate Independently during Meiosis

Single cell sequencing of the small and AT-skewed genome of malaria parasites

A diversity outbred F1 mouse model identifies host-intrinsic genetic regulators of response to immune checkpoint inhibitors

Multivariate autoregressive modelling and conditional simulation for temporal uncertainty analysis of an urban water system in Luxembourg


Parallelizing the queries in a bucket-brigade quantum random access memory

QUANTIFY: A framework for resource analysis and design verification of quantum circuits

Fast quantum circuit simulation using hardware accelerated general purpose libraries


Time-domain synthetic speech detection net (TSSDNet), having the classic ResNet and Inception Net style structures (Res-TSSDNet and Inc-TSSDNet), for end-to-end synthetic speech detection. They achieve the state-of-the-art performance in terms of EER on ASVspoof 2019 challenge and promising generalization capability tested on ASVspoof 2015.

Towards End-to-End Synthetic Speech Detection

Explaining deep learning models for spoofing and deepfake detection with SHapley Additive exPlanations

Explainable deepfake and spoofing detection: an attack analysis using SHapley Additive exPlanations

Audio Anti-Spoofing Detection: A Survey


Official Implementation of Safe Latent Diffusion for Text2Image

Erasing Concepts from Diffusion Models

Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models

MACE: Mass Concept Erasure in Diffusion Models

One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications


Unified Multisensory Perception: Weakly-Supervised Audio-Visual Video Parsing, ECCV, 2020. (Spotlight)

Cross-modal Prompts: Adapting Large Pre-trained Models for Audio-Visual Downstream Tasks

RegBN: Batch Normalization of Multimodal Data with Regularization


A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation for Indoor Scene.

ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes

The Replica Dataset: A Digital Replica of Indoor Spaces

RoutedFusion: Learning Real-time Depth Map Fusion

A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes


code for paper submission "Bonsai - Diverse and Shallow Trees for ExtremeMulti-label Classification"

AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification

Bonsai -- Diverse and Shallow Trees for Extreme Multi-label Classification

An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels

Probabilistic Label Trees for Extreme Multi-label Classification

A Survey on Extreme Multi-label Learning


[PokerEvent Benchmark Dataset & SNN-ANN Baseline] Official PyTorch implementation of "SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition"

Semantic-Aware Frame-Event Fusion based Pattern Recognition via Large Vision-Language Models

Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition

Retain, Blend, and Exchange: A Quality-aware Spatial-Stereo Fusion
  Approach for Event Stream Recognition


Code for "MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER"

CoDa: Constrained Generation based Data Augmentation for Low-Resource
  NLP

ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract
  Descriptions


(IJCV2024 & ICCV2023) LSKNet: A Foundation Lightweight Backbone for Remote Sensing

Oriented R-CNN for Object Detection

ReDet: A Rotation-equivariant Detector for Aerial Object Detection

RTMDet: An Empirical Study of Designing Real-Time Object Detectors

Large Selective Kernel Network for Remote Sensing Object Detection


doc2dial data includes a set of documents from multiple domains; and conversations between an assisting agent and an end user that are grounded in the associated documents.

doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset

UniGDD: A Unified Generative Framework for Goal-Oriented Document-Grounded Dialogue

Generative Model Using Knowledge Graph for Document-Grounded Conversations

Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pretrained Language Model

Workshop on Document-grounded Dialogue and Conversational Question Answering


Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs

Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs

GraphText: Graph Reasoning in Text Space

Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning

Can LLMs Effectively Leverage Graph Structural Information: When and Why


Library - Vanilla, ViT, DeiT, BERT, GPT

Attention Is All You Need

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Training data-efficient image transformers & distillation through attention


Exploiting raw images for real-scene super-resolution, TPAMI 2021

Towards Real Scene Super-Resolution with Raw Images

Exploiting Raw Images for Real-Scene Super-Resolution

BSRAW: Improving Blind RAW Image Super-Resolution


FOFE NER

A Local Detection Approach for Named Entity Recognition and Mention Detection

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 1

A FOFE-based Local Detection Approach for Named Entity Recognition and Mention Detection

A Multi-task Learning Approach for Named Entity Recognition using Local Detection


A repository for implementing graph network models based on atomic structures.

E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials

Score-based denoising for atomic structure identification

Quantifying disorder one atom at a time using an interpretable graph neural network paradigm

Spectroscopy-Guided Discovery of Three-Dimensional Structures of Disordered Materials with Diffusion Models

Score dynamics: scaling molecular dynamics with picosecond timesteps via conditional diffusion model

A snapshot review on soft materials assembly design utilizing machine learning methods


Dataset for car detection on aerial photos applications

Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3

Aerial Images Processing for Car Detection using Convolutional Neural Networks: Comparison between Faster R-CNN and YoloV3

The INUS Platform: A Modular Solution for Object Detection and Tracking from UAVs and Terrestrial Surveillance Assets


Code for ICCV 2023 paper "Contrastive Pseudo Learning for Open-World DeepFake Attribution"

FaceForensics++: Learning to Detect Manipulated Facial Images

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

On the Detection of Digital Face Manipulation

ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis


Code for "Interpolation-Prediction Networks for Irregularly Sampled Time Series", ICLR 2019.

Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series

Learning from Irregularly-Sampled Time Series: A Missing Data Perspective

A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance.

Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series

Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling

Self-supervised Transformer for Multivariate Clinical Time-Series with Missing Values.

Integrating Physiological Time Series and Clinical Notes with Deep Learning for Improved ICU Mortality Prediction

Modeling Irregularly Sampled Clinical Time Series


Protein-Ligand Scoring with Convolutional Neural Networks

Journal of chemical information and modeling

Protein Family-Specific Models Using Deep Neural Networks and Transfer Learning Improve Virtual Screening and Highlight the Need for More Data

libmolgrid: GPU Accelerated Molecular Gridding for Deep Learning Applications


Single Cell Caller (SCcaller) - Identify single nucleotide variations (SNVs) from single cell sequencing data

Accurate identification of single-nucleotide variants in whole-genome-amplified single cells

Single-cell whole-genome sequencing reveals the functional landscape of somatic mutations in B lymphocytes across the human lifespan

Single-cell analysis of somatic mutations in human bronchial epithelial cells in relation to aging and smoking

Maintenance of genome sequence integrity in long- and short-lived rodent species

Somatic variant calling from single-cell DNA sequencing data

Computational and structural biotechnology journal


The Implementation of "AutoNE: Hyperparameter Optimization for Massive Network Embedding"(KDD 2019)

Deep Learning on Graphs: A Survey

Efficient Hyper-parameter Search for Knowledge Graph Embedding


A latent diffusion model for visual synthesis of plant images.

Denoising Diffusion Probabilistic Models

High-Resolution Image Synthesis with Latent Diffusion Models

Neural Discrete Representation Learning

Taming Transformers for High-Resolution Image Synthesis


Moana: Robust cell type classification of single-cell RNA-Seq data

Iterative transfer learning with neural network for clustering and cell type classification in single-cell RNA-seq analysis

Moana: A robust and scalable cell type classification framework for single-cell RNA-Seq data

Computational methods for the integrative analysis of single-cell data


TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition (ACL 2021)

A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces

An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction

Efficient Intent Detection with Dual Sentence Encoders


Real-World RL Benchmark Suite

Challenges of Real-World Reinforcement Learning

Challenges of real-world reinforcement learning: definitions, benchmarks and analysis

Balancing Constraints and Rewards with Meta-Gradient D4PG

Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification

SAAC: Safe Reinforcement Learning as an Adversarial Game of Actor-Critics


AI based fuzzer based on imitation learning

Smart Contract Vulnerability Detection Technique: A Survey

Empirical Review of Smart Contract and DeFi Security: Vulnerability Detection and Automated Repair

A Comparative Evaluation of Automated Analysis Tools for Solidity Smart Contracts


source code for ICLR'22 paper "VOS: Learning What You Don’t Know by Virtual Outlier Synthesis"

VOS: Learning What You Don't Know by Virtual Outlier Synthesis

SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection

Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects

Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection


:speech_balloon: Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue. In ICLR, 2020 (spotlight)

A Survey of Knowledge-enhanced Text Generation

Zero-Resource Knowledge-Grounded Dialogue Generation

Knowledge-Grounded Dialogue Generation with Term-level De-noising

Meeting of the Association for Computational Linguistics


Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".

DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks

Agent-based Graph Neural Networks

State of the Art and Potentialities of Graph-level Learning

The Impact of Global Structural Information in Graph Neural Networks Applications

International Conference on Data Technologies and Applications


Codes accompanying the paper "Context-Aware Sparse Deep Coordination Graphs (https://arxiv.org/abs/2106.02886).

Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning

Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent
  Reinforcement Learning


An Implementation of Transformer (Attention Is All You Need) in DyNet

The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation

Incorporating Discrete Translation Lexicons into Neural Machine Translation

Selective Attention for Context-aware Neural Machine Translation

Weighted Transformer Network for Machine Translation

Improved Neural Machine Translation using Side Information

Australasian Language Technology Association Workshop

Moment Matching Training for Neural Machine Translation: A Preliminary Study


A parallel corpus of Python functions and documentation strings for automated code documentation and code generation

Recommendations for Datasets for Source Code Summarization

M2TS: Multi-Scale Multi-Modal Approach Based on Transformer for Source Code Summarization


This is a Pytorch implementation of GraphLIME

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks

Explainable AI Methods - A Brief Overview

Survey of Explainable AI Techniques in Healthcare

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


Sherlock is a tool for output range anaylsis of Deep Neural Networks with ReLU activation units.

Verification for Machine Learning, Autonomy, and Neural Networks Survey

A Review of Formal Methods applied to Machine Learning

Quantifying safety risks of deep neural networks

Towards the Quantification of Safety Risks in Deep Neural Networks


federated learning autonomous driving in CARLA simulation

Edge Federated Learning via Unit-Modulus Over-The-Air Computation

Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification

Edge Learning for Large-Scale Internet of Things With Task-Oriented Efficient Communication

ACO-Based Scheme in Edge Learning NOMA Networks for Task-Oriented Communications


Layer-wise Relevance Propagation (LRP) for LSTMs.

Explaining Recurrent Neural Network Predictions in Sentiment Analysis

Evaluating neural network explanation methods using hybrid documents and morphological agreement

Evaluating Recurrent Neural Network Explanations

Analyzing Neuroimaging Data Through Recurrent Deep Learning Models

Unveiling Black-Boxes: Explainable Deep Learning Models for Patent Classification

Communications in computer and information science

Spotting Deep Neural Network Vulnerabilities in Mobile Traffic Forecasting with an Explainable AI Lens

Zenodo (CERN European Organization for Nuclear Research)


Codebase for Learning Invariances in Neural Networks

Learning Invariances in Neural Networks

Grounding inductive biases in natural images:invariance stems from variations in data

Rotating spiders and reflecting dogs: a class conditional approach to learning data augmentation distributions


[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models

AgentBench: Evaluating LLMs as Agents

ExpeL: LLM Agents Are Experiential Learners

ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL

Agent Planning with World Knowledge Model

HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality Evaluation


Frequency domain, multi-tone harmonic balance, simulation of scattering parameters and noise in nonlinear circuits containing Josephson junctions.

X-parameter based design and simulation of Josephson traveling-wave parametric amplifiers for quantum computing applications

All-Pass Readout for Robust and Scalable Quantum Measurement

Numerical Simulations of Josephson Traveling Wave Parametric Amplifiers (JTWPAs): Comparative Study of Open-Source Tools

IEEE transactions on applied superconductivity

Modeling flux-quantizing Josephson junction circuits in Keysight ADS


COT-GAN: Generating Sequential Data via Causal Optimal Transport

Time-series Generation by Contrastive Imitation

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

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

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

Diffusion-TS: Interpretable Diffusion for General Time Series Generation


Sparse Variational Dropout, ICML 2017

Variational Dropout Sparsifies Deep Neural Networks

The State of Sparsity in Deep Neural Networks

Structured Bayesian Pruning via Log-Normal Multiplicative Noise

Bayesian Sparsification of Recurrent Neural Networks

Bayesian Compression for Natural Language Processing


This repository includes Spine data based CT to MR image synthesis

Learning to Discover Cross-Domain Relations with Generative Adversarial Networks

Deep MR to CT Synthesis using Unpaired Data

Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs)

DC2Anet: Generating Lumbar Spine MR Images from CT Scan Data Based on Semi-Supervised Learning


Experiments on unsupervised point cloud reconstruction.

FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation

PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows

PyUUL provides an interface between biological structures and deep learning algorithms

SRG-Net: Unsupervised Segmentation for Terracotta Warrior Point Cloud with 3D Pointwise CNN methods.

Unsupervised Segmentation for Terracotta Warrior with Seed-Region-Growing CNN (SRG-Net)


Electrical Power System Benchmark Dataset directly usable with pandapower (use the project website for other tools)


Repository for the paper "Automating App Review Response Generation"

On the Replicability and Reproducibility of Deep Learning in Software Engineering

App-Aware Response Synthesis for User Reviews


CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded by other versions below.

Discovering Structure in High-Dimensional Data Through Correlation Explanation

Maximally Informative Hierarchical Representations of High-Dimensional Data

Functional Connectome of the Human Brain with Total Correlation

Kernelized Hashcode Representations for Relation Extraction


World Mortality Dataset: international data on all-cause mortality.

Tracking excess mortality across countries during the COVID-19 pandemic with the World Mortality Dataset

Preliminary Analysis of Excess Mortality in India During the COVID-19 Pandemic

The American journal of tropical medicine and hygiene

Disparities in excess deaths from the COVID-19 pandemic among migrant workers in Kuwait

A framework for reconstructing SARS-CoV-2 transmission dynamics using excess mortality data


JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

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

Offline Reinforcement Learning with Implicit Q-Learning

RvS: What is Essential for Offline RL via Supervised Learning?

The Primacy Bias in Deep Reinforcement Learning

IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies

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

Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning

Efficient Deep Reinforcement Learning Requires Regulating Overfitting

Understanding the Complexity Gains of Single-Task RL with a Curriculum

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


[ICCV 2021] A new codebase containing various methods for Group Activity Recognition. Paper title: Spatio-Temporal Dynamic Inference Network for Group Activity Recognition.

COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality

DECOMPL: Decompositional Learning with Attention Pooling for Group Activity Recognition from a Single Volleyball Image


Discovering known and novel miRNAs from small RNA sequencing data

A high-quality genome assembly highlights rye genomic characteristics and agronomically important genes

Identification and characterization of differentially expressed exosomal microRNAs in bovine milk infected with Staphylococcus aureus

High Throughput Sequencing of MicroRNA in Rainbow Trout Plasma, Mucus, and Surrounding Water Following Acute Stress

Transcriptome and chromatin accessibility in porcine intestinal epithelial cells upon Zearalenone exposure

High-Throughput Sequencing-Based Identification of miRNAs and Their Target mRNAs in Wheat Variety Qing Mai 6 Under Salt Stress Condition

Comprehensive Analysis of Serum Small Extracellular Vesicles-Derived Coding and Non-Coding RNAs from Retinoblastoma Patients for Identifying Regulatory Interactions

Integration of miRNA and mRNA Co-Expression Reveals Potential Regulatory Roles of miRNAs in Developmental and Immunological Processes in Calf Ileum during Early Growth

Transcriptome and miRNA Profiles of Black Tiger Shrimp, Penaeus monodon, Under Different Salinity Conditions

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

Signal-noise metrics for RNA binding protein identification reveal broad spectrum protein-RNA interaction frequencies and dynamics


Official repository of DailyTalk: Spoken Dialogue Dataset for Conversational Text-to-Speech, ICASSP 2023

Exploring Transfer Learning for Low Resource Emotional TTS

Enhancing Speaking Styles in Conversational Text-to-Speech Synthesis with Graph-Based Multi-Modal Context Modeling

Emotion-Aware Prosodic Phrasing for Expressive Text-to-Speech


Yahoo! Cloud Serving Benchmark in C++, a C++ version of YCSB (https://github.com/brianfrankcooper/YCSB/wiki)

VAT: Asymptotic Cost Analysis for Multi-Level Key-Value Stores

Building Atomic, Crash-Consistent Data Stores with Disaggregated Persistent Memory

Balancing Garbage Collection vs I/O Amplification using dynamic KV separation

Storage Management with Multi-Version Partitioned BTrees


The repo contains our code of ``Semantic Mask for Transformer based End-to-End Speech Recognition"

Don't shoot butterfly with rifles: Multi-channel Continuous Speech Separation with Early Exit Transformer

Ultra Fast Speech Separation Model with Teacher Student Learning

SpliceOut: A Simple and Efficient Audio Augmentation Method


An automated scoring function to facilitate and standardize the evaluation of goal-directed generative models for de novo molecular design

De Novo Drug Design of Targeted Chemical Libraries Based on Artificial Intelligence and Pair-Based Multiobjective Optimization

Learning to Extend Molecular Scaffolds with Structural Motifs

Docking-based generative approaches in the search for new drug candidates

MolScore: A scoring and evaluation framework for de novo drug design

PromptSMILES: prompting for scaffold decoration and fragment linking in chemical language models


Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets

Visualizing and interpreting single-cell gene expression datasets with Similarity Weighted Nonnegative Embedding

Deciphering spatial genomic heterogeneity at a single cell resolution in multiple myeloma

Spatiotemporal dynamics of inner ear sensory and non-sensory cells revealed by single-cell transcriptomics


Semantic Segmentation on the Mapillary Vistas Dataset

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Rethinking Atrous Convolution for Semantic Image Segmentation


A community repository for benchmarking Bayesian methods

Gaussian Processes for Big Data

Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo

Differentiable Compositional Kernel Learning for Gaussian Processes

Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors

Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models


Benchmark dataset for tree detection for airborne RGB, Hyperspectral and LIDAR imagery

Individual Tree-Crown Detection in RGB Imagery Using Semi-Supervised Deep Learning Neural Networks

AI applications in forest monitoring need remote sensing benchmark datasets

Training Data for the NeonTreeEvaluation Benchmark


Universal Adversarial Triggers for Attacking and Analyzing NLP (EMNLP 2019)

Towards a Robust Deep Neural Network in Texts: A Survey

MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models

Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking Models


"MesoNet: a Compact Facial Video Forgery Detection Network" (D. Afchar, V. Nozick) - IEEE WIFS 2018

International Workshop on Information Forensics and Security

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

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models

IEEE European Symposium on Security and Privacy

DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection

Detection of Fake and Fraudulent Faces via Neural Memory Networks

IEEE Transactions on Information Forensics and Security

Exploiting Human Social Cognition for the Detection of Fake and Fraudulent Faces via Memory Networks

DeepFake-o-meter: An Open Platform for DeepFake Detection

How Generalizable are Deepfake Image Detectors? An Empirical Study


Deep Inversion Validation Library

Computed tomography reconstruction using deep image prior and learned reconstruction methods

LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction

PatchNR: learning from very few images by patch normalizing flow regularization

Unsupervised Knowledge-Transfer for Learned Image Reconstruction

3D U-NetR: Low Dose Computed Tomography Reconstruction via Deep Learning and 3 Dimensional Convolutions

Imaging based on Compton scattering: model uncertainty and data-driven reconstruction methods

Proj2Proj: self-supervised low-dose CT reconstruction

LoDoPaB-CT Dataset

Boosting Data-Driven Mirror Descent with Randomization, Equivariance, and Acceleration


Read, write and manipulate GP3, GP4 and GP5 files.

DadaGP: A Dataset of Tokenized GuitarPro Songs for Sequence Models

GTR-CTRL: Instrument and Genre Conditioning for Guitar-Focused Music Generation with Transformers

A Data-Driven Methodology for Considering Feasibility and Pairwise Likelihood in Deep Learning Based Guitar Tablature Transcription Systems

Rock Guitar Tablature Generation via Natural Language Processing


baltic - adaptable lightweight tree import code for molecular phylogeny manipulation, analysis and visualisation. This fork will no longer receive updates, so any further development to baltic is going to happen at https://github.com/evogytis/baltic.

Genomic epidemiology reveals multiple introductions of Zika virus into the United States

Active Ebola Virus Replication and Heterogeneous Evolutionary Rates in EVD Survivors


python wrapper for MOOG. All plots are handled with matplotlib.

Chemical Compositions of Field and Globular Cluster RR Lyrae Stars. I. NGC 3201

Chemical Compositions of Field and Globular Cluster RR Lyrae Stars. II. ω Centauri

A new and Homogeneous metallicity scale for Galactic classical Cepheids

Stellar Population Astrophysics (SPA) with TNG Atmospheric parameters of members of 16 unstudied open clusters

Planet engulfment detections are rare according to observations and stellar modelling

Oxygen, sulfur, and iron radial abundance gradients of classical Cepheids across the Galactic thin disk

Lithium abundances as a tracer of asymptotic giant branch star pollution in the globular cluster NGC 6752

Searching For Transiting Planets Around Halo Stars. I. Sample Selection and Validation

Asteroseismology Sheds Light on the Origin of Carbon-deficient Red Giants: Likely Merger Products and Linked to the Li-rich Giants

Neutron-capture elements in NGC 6752 multiple populations

Monthly notices of the Royal Astronomical Society


A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.

Grabit: Gradient tree-boosted Tobit models for default prediction

Gradient and Newton Boosting for Classification and Regression

KTBoost: Combined Kernel and Tree Boosting

NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction


Generic and efficient MATLAB solver for nonsmooth optimization problems

Forward–backward quasi-Newton methods for nonsmooth optimization problems

Computational optimization and applications

Forward-Backward Envelope for the Sum of Two Nonconvex Functions: Further Properties and Nonmonotone Linesearch Algorithms

Proximal Gradient Algorithms: Applications in Signal Processing

A trust region-type normal map-based semismooth Newton method for nonsmooth nonconvex composite optimization

A regularized Newton method for ℓ_q-norm composite optimization problems

An inexact q-order regularized proximal Newton method for nonconvex composite optimization


Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle

Adversarial Training for Free!

You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle

Bag of Tricks for Adversarial Training

Amata: An Annealing Mechanism for Adversarial Training Acceleration

Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness


Structural Bioinformatics Training Workshop & Hackathon 2018

NGL viewer: web-based molecular graphics for large complexes

Web-based molecular graphics for large complexes

Proceedings of the 21st International Conference on Web3D Technology

MMTF - an efficient file format for the transmission, visualization, and analysis of macromolecular structures

Towards an efficient compression of 3D coordinates of macromolecular structures

Machine Learning for Classification of Protein Helix Capping Motifs


A Multimodal Audio Sheet Music Dataset

Learning Audio–Sheet Music Correspondences for Cross-Modal Retrieval and Piece Identification

Transactions of the International Society for Music Information Retrieval

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval


Implementation of different summarization algorithms applied to legal case judgements.

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Extractive Summarization using Deep Learning

Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation

Bringing order into the realm of Transformer-based language models for artificial intelligence and law

Citation-Based Summarization of Landmark Judgments


A toolbox with the goal of speeding up research on bargaining in MARL (cooperation problems in MARL).

Learning with Opponent-Learning Awareness

Maintaining cooperation in complex social dilemmas using deep reinforcement learning

Emergent Communication through Negotiation

Adaptive Mechanism Design: Learning to Promote Cooperation

DiCE: The Infinitely Differentiable Monte-Carlo Estimator


Julia interface to climate models + tracked workflow framework


Comprehensive library to access the Spanish electricity market entity (ESIOS), in python 3


DSTC9 Track 1 - Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access

Overview of the Ninth Dialog System Technology Challenge: DSTC9

"How Robust r u?": Evaluating Task-Oriented Dialogue Systems on Spoken Conversations

Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access Track in DSTC9

Can I Be of Further Assistance? Using Unstructured Knowledge Access to Improve Task-oriented Conversational Modeling

Towards Zero and Few-shot Knowledge-seeking Turn Detection in Task-orientated Dialogue Systems

Robust Unstructured Knowledge Access in Conversational Dialogue with ASR Errors

IEEE International Conference on Acoustics, Speech, and Signal Processing


Pretrained ELECTRA Model for Korean

KLUE: Korean Language Understanding Evaluation

SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)

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

APEACH: Attacking Pejorative Expressions with Analysis on Crowd-Generated Hate Speech Evaluation Datasets

K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment

Transformer-based Korean Pretrained Language Models: A Survey on Three Years of Progress

LittleBird: Efficient Faster & Longer Transformer for Question Answering

LAME: Layout Aware Metadata Extraction Approach for Research Articles

UA-KO at SemEval-2022 Task 11: Data Augmentation and Ensembles for Korean Named Entity Recognition

Explainable Product Classification for Customs

Layout Aware Semantic Element Extraction for Sustainable Science & Technology Decision Support


The event mention detection and corefrene evaluators, and associated utilities (converters, validators)

Nugget Proposal Networks for Chinese Event Detection

Event Detection with Trigger-Aware Lattice Neural Network

Empirical Methods in Natural Language Processing

Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning

Meeting of the Association for Computational Linguistics

End-to-End Neural Event Coreference Resolution

Cost-sensitive Regularization for Label Confusion-aware Event Detection

Adaptive Scaling for Sparse Detection in Information Extraction


[BEA @ ACL 2023] General-purpose tool for linguistic features extraction; Tested on readability assessment, essay scoring, fake news detection, hate speech detection, etc.

Benchmarking and Explaining Large Language Model-based Code Generation: A Causality-Centric Approach

LFTK: Handcrafted Features in Computational Linguistics

Do LLMs Implicitly Determine the Suitable Text Difficulty for Users?

Linguistic Properties of Truthful Response


k-Medoids clustering in Rust with the FasterPAM algorithm

Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms

Fast and Eager k-Medoids Clustering: O(k) Runtime Improvement of the PAM, CLARA, and CLARANS Algorithms

Fast k-medoids Clustering in Rust and Python

Clustering by Direct Optimization of the Medoid Silhouette

Medoid Silhouette clustering with automatic cluster number selection


Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/

Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics

For SALE: State-Action Representation Learning for Deep Reinforcement Learning

Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning

Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse

Balancing Value Underestimation and Overestimationwith Realistic Actor-Critic


Code for the paper "MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels"

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

Decentralised Semi-supervised Onboard Learning for Scene Classification in Low-Earth Orbit


Unsupervised Discovery of Object Radiance Fields

Multi-view Consistent Generative Adversarial Networks for Compositional 3D-Aware Image Synthesis

International Journal of Computer Vision

Neural Radiance Field Codebooks


ArtGAN + WikiArt: This work presents a series of new approaches to improve GAN for conditional image synthesis and we name the proposed model as “ArtGAN”.

Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature

ArtGAN: Artwork Synthesis with Conditional Categorical GANs

Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork

Cross-Domain and Disentangled Face Manipulation with 3D Guidance

NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research

A Deep Learning Approach to Clustering Visual Arts

Information Foraging for Enhancing Implicit Feedback in Content-based Image Recommendation

Toward A Neuro-inspired Creative Decoder

Artwork Style Recognition Using Vision Transformers and MLP Mixer

Artist, Style And Year Classification Using Face Recognition And Clustering With Convolutional Neural Networks


A Simple, High-efficiency, Strong framework for person re-Identification.

Learning 3D Shape Feature for Texture-insensitive Person Re-identification

Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search

Rethinking Temporal Fusion for Video-based Person Re-identification on Semantic and Time Aspect

One for More: Selecting Generalizable Samples for Generalizable ReID Model

Devil's in the Details: Aligning Visual Clues for Conditional Embedding in Person Re-Identification


SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Identity Mappings in Deep Residual Networks

Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

Image Super-Resolution as a Defense Against Adversarial Attacks

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

Self-Recoverable Adversarial Examples: A New Effective Protection Mechanism in Social Networks

The Efficacy of SHIELD under Different Threat Models


Library for computing with multidimensional functions

High-dimensional stochastic optimal control using continuous tensor decompositions

Gradient-based optimization for regression in the functional tensor-train format

Functional Tensor-Train Chebyshev Method for Multidimensional Quantum Dynamics Simulations.

Approximation in the extended functional tensor train format


Dromedary: towards helpful, ethical and reliable LLMs.

Llama 2: Open Foundation and Fine-Tuned Chat Models

Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision

The False Promise of Imitating Proprietary LLMs


HTOF: Code which parses the intermediate data from Hipparcos and Gaia and fits astrometric solutions to those data. Capable of computing likelyhoods and parameter errors in line with the catalog.

orvara: An Efficient Code to Fit Orbits Using Radial Velocity, Absolute, and/or Relative Astrometry

htof: A New Open-source Tool for Analyzing Hipparcos, Gaia, and Future Astrometric Missions

Asteroseismology of iota Draconis and Discovery of an Additional Long-period Companion

The Masses of a Sample of Radial-velocity Exoplanets with Astrometric Measurements


LipidFinder: A computational workflow for discovery of new lipid molecular species

LipidFinder on LIPID MAPS: peak filtering, MS searching and statistical analysis for lipidomics

LipidFinder: A computational workflow for discovery of lipids identifies eicosanoid-phosphoinositides in platelets

LipidFinder 2.0: advanced informatics pipeline for lipidomics discovery applications


A unified framework for recommender system attacking

Stealthy Attack on Large Language Model based Recommendation

RecAD: Towards A Unified Library for Recommender Attack and Defense

Poisoning Attacks and Defenses in Recommender Systems: A Survey


SummEval: Re-evaluating Summarization Evaluation

Fill in the BLANC: Human-free quality estimation of document summaries

Play the Shannon Game With Language Models: A Human-Free Approach to Summary Evaluation

Is human scoring the best criteria for summary evaluation?

Sensitivity of BLANC to human-scored qualities of text summaries

OpinSummEval: Revisiting Automated Evaluation for Opinion Summarization

ESTIME: Estimation of Summary-to-Text Inconsistency by Mismatched Embeddings

Neural Embeddings for Text

Does Summary Evaluation Survive Translation to Other Languages?

Towards Human-Free Automatic Quality Evaluation of German Summarization


EAZY photometric redshift code (Brammer, van Dokkum & Coppi 2008)

Galaxy growth in a massive halo in the first billion years of cosmic history

Near infrared spectroscopy and star-formation histories of 3 <= z <= 4 quiescent galaxies

Starbursts in and out of the star-formation main sequence

Confirmation and refutation of very luminous galaxies in the early Universe

A HIGH-RESOLUTION HUBBLE SPACE TELESCOPE STUDY OF APPARENT LYMAN CONTINUUM LEAKERS AT z ∼ 3

A Census of the Bright z = 8.5–11 Universe with the Hubble and Spitzer Space Telescopes in the CANDELS Fields

Astrophysical Journal Supplement Series - HFF-DeepSpace Photometric Catalogs of the 12 Hubble Frontier Fields, Clusters, and Parallels: Photometry, Photometric Redshifts, and Stellar Masses

The Astrophysical Journal Supplement Series

Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST)

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

The MUSE Hubble Ultra Deep Field Survey: IV. Global properties of C III]
  emitters


Software for Ontogenic aNalysis of Antibody Repertoires

Potent SARS-CoV-2 neutralizing antibodies directed against spike N-terminal domain target a single supersite

Gene-Specific Substitution Profiles Describe the Types and Frequencies of Amino Acid Changes during Antibody Somatic Hypermutation

cAb-Rep: A Database of Curated Antibody Repertoires for Exploring Antibody Diversity and Predicting Antibody Prevalence

SONAR: A High-Throughput Pipeline for Inferring Antibody Ontogenies from Longitudinal Sequencing of B Cell Transcripts

Modular basis for potent SARS-CoV-2 neutralization by a prevalent VH1-2-derived antibody class

Tracing Antibody Repertoire Evolution by Systems Phylogeny


Package designed to detect and quantify water quality and cyanobacterial harmful algal bloom (CHABs) from remotely sensed imagery


Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer

Analyzing the Role of Model Uncertainty for Electronic Health Records

Proceedings of the ACM Conference on Health, Inference, and Learning

Improved Hierarchical Patient Classification with Language Model Pretraining over Clinical Notes

Deep State-Space Generative Model For Correlated Time-to-Event Predictions

BEDS-Bench: Behavior of EHR-models under Distributional Shift--A Benchmark

Learning to Select the Best Forecasting Tasks for Clinical Outcome Prediction


a Multi-aperture Image Reconstruction  Algorithm

MIRC-X: a highly-sensitive six telescope interferometric imager at the CHARA Array

The central parsec of NGC 3783: a rotating broad emission line region, asymmetric hot dust structure, and compact coronal line region

Thermal imaging of dust hiding the black hole in the Active Galaxy NGC
  1068

Principles of image reconstruction in optical interferometry: tutorial

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

Multiple star systems in the Orion nebula

Why chromatic imaging matters


See https://meta.wikimedia.org/wiki/Research:Modeling_Talk_Page_Abuse

Ex Machina: Personal Attacks Seen at Scale

Dis/similarities in the design and development of legal and algorithmic normative systems: the case of Perspective API

Is More Data Better? Re-thinking the Importance of Efficiency in Abusive Language Detection with Transformers-Based Active Learning

A Software Tool Aimed at Automating the Generation, Distribution, and Assessment of Social Media Messages for Health Promotion and Education Research


A package to calculate ensemble averaged waves in heterogeneous materials. The focus is on wave propagation, scattering, and reflection, from particulate and porous materials.

A proof that multiple waves propagate in ensemble-averaged particulate materials

Reflection from a multi-species material and its transmitted effective wavenumber

Proceedings. Mathematical, physical, and engineering sciences

Multiple Waves Propagate in Random Particulate Materials

The average transmitted wave in random particulate materials


37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.

Communication-Efficient Learning of Deep Networks from Decentralized Data

Convolutional Neural Networks for Sentence Classification

Bag of Tricks for Efficient Text Classification

SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Federated Multi-Task Learning

Personalized Federated Learning: A Meta-Learning Approach

Model-Contrastive Federated Learning

Personalized Federated Learning with Moreau Envelopes

Ditto: Fair and Robust Federated Learning Through Personalization

Federated Learning with Personalization Layers


TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018

NAIS: Neural Attentive Item Similarity Model for Recommendation

IEEE Transactions on Knowledge and Data Engineering

Deep Item-based Collaborative Filtering for Top-N Recommendation

Simultaneous Learning of the Inputs and Parameters in Neural Collaborative Filtering


Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces

Zero-shot User Intent Detection via Capsule Neural Networks

CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection

LINGUIST: Language Model Instruction Tuning to Generate Annotated Utterances for Intent Classification and Slot Tagging

A post-processing method for detecting unknown intent of dialogue system via pre-trained deep neural network classifier

Composed Variational Natural Language Generation for Few-shot Intents

Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution

Energy-based Unknown Intent Detection with Data Manipulation

Bi-directional Joint Neural Networks for Intent Classification and Slot Filling

Attentively Embracing Noise for Robust Latent Representation in BERT

International Conference on Computational Linguistics


Numenta published papers code and data

Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark

International Conference on Machine Learning and Applications

Why Neurons Have Thousands of Synapses, a Theory of Sequence Memory in Neocortex

How Can We Be So Dense? The Benefits of Using Highly Sparse Representations

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

Going Beyond the Point Neuron: Active Dendrites and Sparse Representations for Continual Learning

Sequence learning, prediction, and replay in networks of spiking neurons

Grid Cell Path Integration For Movement-Based Visual Object Recognition


Contains the behavior engine FlexBE.

Human-robot collaborative high-level control with application to rescue robotics

International Conference on Robotics and Automation

Reactive high-level behavior synthesis for an Atlas humanoid robot

Collaborative Autonomy between High-level Behaviors and Human Operators for Remote Manipulation Tasks using Different Humanoid Robots

Flexible Navigation: Finite state machine-based integrated navigation and control for ROS enabled robots

A Comprehensive Software Framework for Complex Locomotion and Manipulation Tasks Applicable to Different Types of Humanoid Robots


OpenConcept: A toolkit for conceptual MDAO of aircraft with unconventional propulsion architectures

Thermal Management System Optimization for a Parallel Hybrid Aircraft Considering Mission Fuel Burn


Evaluating Robustness of Neural Networks with Mixed Integer Programming

Provable defenses against adversarial examples via the convex outer adversarial polytope

Certified Defenses against Adversarial Examples

Algorithms for Verifying Deep Neural Networks

A Review of Formal Methods applied to Machine Learning

Global Optimization of Objective Functions Represented by ReLU Networks

Training Provably Robust Models by Polyhedral Envelope Regularization

Rethinking Empirical Evaluation of Adversarial Robustness Using First-Order Attack Methods

Verification of Neural Networks' Global Robustness


Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction

Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction

Efficient Wait-k Models for Simultaneous Machine Translation

Stream-level Latency Evaluation for Simultaneous Machine Translation

Better Simultaneous Translation with Monotonic Knowledge Distillation

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

The AISP-SJTU Simultaneous Translation System for IWSLT 2022

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

Enhanced Simultaneous Machine Translation with Word-level Policies


:fire: Use pre-trained models in PyTorch to extract vector embeddings for any image

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Coreset Clustering on Small Quantum Computers

Certainty Equivalent Perception-Based Control

The Newspaper Navigator Dataset: Extracting And Analyzing Visual Content from 16 Million Historic Newspaper Pages in Chronicling America

Index-based, High-dimensional, Cosine Threshold Querying with Optimality Guarantees

Active Membership Inference Attack under Local Differential Privacy in Federated Learning


Synthetic photometry using Astropy for HST and JWST

Where are the magnetar binary companions? Candidates from a comparison with binary population synthesis predictions

The Fast Radio Burst-emitting Magnetar SGR 1935+2154—Proper Motion and Variability from Long-term Hubble Space Telescope Monitoring

New candidates for magnetar counterparts from a deep search with theHubble Space Telescope

Optical- and UV-continuum Morphologies of Compact Radio Source Hosts

Optical- & UV-Continuum Morphologies of Compact Radio Source Hosts


A toolkit for single-cell immune profiling

Single-cell profiling reveals pathogenic role and differentiation trajectory of granzyme K+CD8+ T cells in primary Sjögren’s syndrome

Unravelling the role of immune cells and FN1 in the recurrence and therapeutic process of skull base chordoma

T Cell Clonal Analysis Using Single-cell RNA Sequencing and Reference Maps


Backdoor Defense via Decoupling the Training Process

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning

Fine-Tuning Is All You Need to Mitigate Backdoor Attacks

Towards Stable Backdoor Purification through Feature Shift Tuning

Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective

FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases

BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor
  Learning

Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering


Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

Neural Machine Translation of Rare Words with Subword Units

SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

Unsupervised Neural Machine Translation

Edinburgh Neural Machine Translation Systems for WMT 16

Linguistic Input Features Improve Neural Machine Translation

Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models

Findings of the 2020 Conference on Machine Translation (WMT20)

Adaptation of Deep Bidirectional Multilingual Transformers for Russian Language

BPE-Dropout: Simple and Effective Subword Regularization

fairseq S2T: Fast Speech-to-Text Modeling with fairseq


Biosignal Processing in Python

PTB-XL, a large publicly available electrocardiography dataset

Attention-Based Convolutional Denoising Autoencoder for Two-Lead ECG Denoising and Arrhythmia Classification

IEEE Transactions on Instrumentation and Measurement

Emotion Assessment Using Feature Fusion and Decision Fusion Classification Based on Physiological Data: Are We There Yet?

A 12-Lead ECG database to identify origins of idiopathic ventricular arrhythmia containing 334 patients

Development of a rapid and economic in vivoelectrocardiogram platform for cardiovascular drug assay and electrophysiology research in adult zebrafish

A Hybrid Prognostics Deep Learning Model for Remaining Useful Life Prediction

Techniques for visualizing LSTMs applied to electrocardiograms

Hyperglycemia Identification Using ECG in Deep Learning Era

Analysis on Deep Learning methods for ECG based Cardiovascular Disease prediction

Scalable Computing: Practice and Experience

An End-to-End and Accurate PPG-based Respiratory Rate Estimation Approach Using Cycle Generative Adversarial Networks


These repositories are contributed to by NOAA staff from line offices and/or staff office throughout the organization


jMetal: a framework for multi-objective optimization with metaheuristics

jMetalPy: a Python Framework for Multi-Objective Optimization with Metaheuristics

Merge Nondominated Sorting Algorithm for Many-Objective Optimization

Machine Learning and Data Analytics for Design and Manufacturing of High-Entropy Materials Exhibiting Mechanical or Fatigue Properties of Interest

A Novel Self-Adaptive Mixed-Variable Multiobjective Ant Colony Optimization Algorithm in Mobile Edge Computing

Rank-based Non-dominated Sorting

Introducing Interactions in Multi-Objective Optimization of Software Architectures


AlphaMath Almost Zero: process Supervision without process

MARIO: MAth Reasoning with code Interpreter Output -- A Reproducible Pipeline

MARIO Eval: Evaluate Your Math LLM with your Math LLM--A mathematical
  dataset evaluation toolkit

Step-level Value Preference Optimization for Mathematical Reasoning


A PyTorch implementation of Implicit Q-Learning

Offline Reinforcement Learning with Implicit Q-Learning

Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Survival Instinct in Offline Reinforcement Learning

Improving Offline RL by Blending Heuristics


tools for error correction and working with long read data

Denoising DNA deep sequencing data—high-throughput sequencing errors and their correction

Error correction and assembly complexity of single molecule sequencing reads.

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

Capture of complete ciliate chromosomes in single sequencing reads reveals widespread chromosome isoforms

What is in a lichen? A metagenomic approach to reconstruct the holo-genome of Umbilicaria pustulata


Python bindings to BLS

The occurrence of planets and other substellar bodies around white dwarfs using K2

Exoplanet characterisation in the longest known resonant chain: the K2-138 system seen by HARPS

Diffuser-assisted Photometric Follow-up Observations of the Neptune-sized Planets K2-28b and K2-100b

K2-140b - An eccentric 6.57 d transiting hot Jupiter in Virgo

THE K2-ESPRINT PROJECT. II. SPECTROSCOPIC FOLLOW-UP OF THREE EXOPLANET SYSTEMS FROM CAMPAIGN 1 OF K2

Upper Limits on Planet Occurrence around Ultracool Dwarfs with K2

A search for transiting planets in the β Pictoris system

A simple model to describe intrinsic stellar noise for exoplanet detection around red giants

Search for exoplanetary transits in the Galactic bulge

Synergy between asteroseismology and exoplanet science: an outlook


Neural Machine Translation by Jointly Learning to Align and Translate

Automatic Labeling for Entity Extraction in Cyber Security

Open-CyKG: An Open Cyber Threat Intelligence Knowledge Graph

A review of knowledge graph application scenarios in cyber security


800,000 step-level correctness labels on LLM solutions to MATH problems

Let's Verify Step by Step

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open
  Language Models

Improving Large Language Model Fine-tuning for Solving Math Problems

CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models

Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision


[CVPR 2023] CMT: Contrastive Mean Teacher for Domain Adaptive Object Detectors

Cross-Domain Adaptive Teacher for Object Detection

Learning Domain Adaptive Object Detection with Probabilistic Teacher


Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks

Stable Neural Stochastic Differential Equations in Analyzing Irregular
  Time Series Data


A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding

Intent Contrastive Learning for Sequential Recommendation

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

Sequential Recommendation via Stochastic Self-Attention

Consistency-Aware Recommendation for User-Generated Item List Continuation

Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect

FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings

ACM Transactions on Intelligent Systems and Technology

Learning Post-Hoc Causal Explanations for Recommendation

Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation


Ten thousand books, six million ratings

HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems

Loss Aversion in Recommender Systems: Utilizing Negative User Preference to Improve Recommendation Quality

A Hinge-Loss based Codebook Transfer for Cross-Domain Recommendation with Nonoverlapping Data

Mixture-of-tastes Models for Representing Users with Diverse Interests

Transfer of codebook latent factors for cross-domain recommendation with non-overlapping data

Predictive Optimization with Zero-Shot Domain Adaptation


Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds

PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees

ALPaCA vs. GP-based Prior Learning: A Comparison between two Bayesian Meta-Learning Algorithms


Combined roles for breeding synchrony, habitat and scale as predictors of extrapair paternity

Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa

Unraveling Amazon tree community assembly using Maximum Information Entropy: a quantitative analysis of tropical forest ecology

A spatial approach to jointly estimate Wright’s neighborhood size and long-term effective population size

bioRxiv : the preprint server for biology

Vecchia Approximations and Optimization for Multivariate Matérn Models


Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites

A Question-Entailment Approach to Question Answering

Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering

SIGBIOMED WORKSHOP ON BIOMEDICAL NATURAL LANGUAGE PROCESSING (BIONLP 2019)

Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review

Question-aware Transformer Models for Consumer Health Question Summarization

Towards Summarizing Healthcare Questions in Low-Resource Setting

Medical Question Understanding and Answering with Knowledge Grounding and Semantic Self-Supervision

MedAide: Leveraging Large Language Models for On-Premise Medical
  Assistance on Edge Devices


Calculate the Differential Emission Measure (DEM) from solar data using regularised inversion.

Microflare Heating of a Solar Active Region Observed with NuSTAR, Hinode/XRT, and SDO/AIA

A Search for the Counterparts of Quiet-Sun Radio Transients in Extreme Ultraviolet Data

Temporal evolution of oscillating coronal loops

Role of Small-scale Impulsive Events in Heating the X-Ray Bright Points of the Quiet Sun

Detection of long-lasting aurora-like radio emission above a sunspot

Multifrequency Microwave Imaging of Weak Transients from the Quiet Solar Corona

Spectroscopic Imaging of the Sun with MeerKAT: Opening a New Frontier in Solar Physics


SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics

SINDy-PI: a robust algorithm for parallel implicit sparse identification of nonlinear dynamics

PySINDy: A comprehensive Python package for robust sparse system identification


MADiff: Offline Multi-agent Learning with Diffusion Models

Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning

A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem

Select to Perfect: Imitating desired behavior from large multi-agent data


Pairing-based cryptography for Go

Secure and Efficient Multi-Signature Schemes for Fabric: An Enterprise Blockchain Platform

FairShare: Blockchain Enabled Fair, Accountable and Secure Data Sharing for Industrial IoT

Cumulus: Blockchain-Enabled Privacy Preserving Data Audit in Cloud

Distributed Data Integrity Verification Scheme in Multi-Cloud Environment


All scripts used for the analysis of the twilight of the pan-genome, and scripts available for others to apply similar analysis

Phylogroup-specific variation shapes the clustering of antimicrobial resistance genes and defence systems across regions of genome plasticity in Pseudomonas aeruginosa

Vibrio cholerae O139 genomes provide a clue to why it may have failed to usher in the eighth cholera pandemic

Genomic analysis unveils genome degradation events and gene flux in the emergence and persistence of S. Paratyphi A lineages


MOS score prediction by fine-tuned wav2vec2.0 model

HiFi++: a Unified Framework for Bandwidth Extension and Speech Enhancement

Analysing Diffusion-based Generative Approaches Versus Discriminative Approaches for Speech Restoration

Diffusion Posterior Sampling for Informed Single-Channel Dereverberation

StreamVoice: Streamable Context-Aware Language Modeling for Real-time Zero-Shot Voice Conversion

Low-latency Real-time Voice Conversion on CPU

UnDiff: Unsupervised Voice Restoration with Unconditional Diffusion Model


ATOM3D: Tasks On Molecules in Three Dimensions

Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures

Pre‐Training of Equivariant Graph Matching Networks with Conformation Flexibility for Drug Binding


Official repository for the paper "Chunked Autoregressive GAN for Conditional Waveform Synthesis"

HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech Synthesis

BigVSAN: Enhancing GAN-based Neural Vocoders with Slicing Adversarial Network

Mel Spectrogram Inversion with Stable Pitch

PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform Generation


Failure archive for ChatGPT and similar models

ChatGPT: A Meta-Analysis after 2.5 Months

Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements

FELM: Benchmarking Factuality Evaluation of Large Language Models

Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and Correction of LLM Output

Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science

International Journal of Data Science and Analytics

Caveat Lector: Large Language Models in Legal Practice


Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care

AI.vs.Clinician: Unveiling Intricate Interactions Between AI and
  Clinicians through an Open-Access Database


This is updated version of the dataset for Chinese community medical question answering.

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

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

Distinct but correct: generating diversified and entity-revised medical response


A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)

Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models

A Variational Information Bottleneck Approach to Multi-Omics Data Integration

Multimodal dynamics modeling for off-road autonomous vehicles

MHVAE: a Human-Inspired Deep Hierarchical Generative Model for Multimodal Representation Learning

How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents

Discriminative Multimodal Learning via Conditional Priors in Generative Models


keras implementation of inflated 3d from Quo Vardis paper + weights

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

Surgical Gesture Recognition in Laparoscopic Tasks Based on the Transformer Network and Self-Supervised Learning

Accuracy and Performance Comparison of Video Action Recognition Approaches

IEEE High Performance Extreme Computing Conference

Interaction Model and Respect of Rules to Enhance Collaborative Brainstorming Results

Advances in Science, Technology and Engineering Systems Journal

SummaryNet: A Multi-Stage Deep Learning Model for Automatic Video Summarisation

Video Action Recognition Using spatio-temporal optical flow video frames


IRESfinder is a python package for the identification of RNA internal ribosome entry site in eukaryotic cell

Circular RNAs in human cancer

Expression profiling of circular RNAs and their potential role in early-stage diabetic cardiomyopathy

Advances in the protein‑encoding functions of circular RNAs associated with cancer (Review)

Identification and Functional Prediction of CircRNAs in Leaves of F1 Hybrid Poplars with Different Growth Potential and Their Parents

International journal of molecular sciences


Transformer encoder-decoder for emotion detection in dialogues

Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection

CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversation

DualGATs: Dual Graph Attention Networks for Emotion Recognition in Conversations

Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition


This is the implementation of our Interspeech 2021 paper: Limited data emotional voice conversion leveraging text-to-speech: two-stage sequence-to-sequence training.

Limited Data Emotional Voice Conversion Leveraging Text-to-Speech: Two-stage Sequence-to-Sequence Training

An Overview & Analysis of Sequence-to-Sequence Emotional Voice Conversion

EmoFake: An Initial Dataset for Emotion Fake Audio Detection

DurFlex-EVC: Duration-Flexible Emotional Voice Conversion with Parallel Generation


Codes for our paper "Revisiting Multiple Instance Neural Networks".

Cancer Diagnosis Using Deep Learning: A Bibliographic Review

Explainable Deep Few-shot Anomaly Detection with Deviation Networks

A Survey on Human Cancer Categorization Based on Deep Learning

Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization


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

Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models

Large Dual Encoders Are Generalizable Retrievers

Decoupled Context Processing for Context Augmented Language Modeling

Exploring Dual Encoder Architectures for Question Answering

QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations

Zero-Shot Retrieval with Search Agents and Hybrid Environments

Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation


DeepInf: Social Influence Prediction with Deep Learning

Deep Learning on Graphs: A Survey

Graph Domain Adaptation: A Generative View


A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series

IEEE transactions on neural networks and learning systems

One-Class Adversarial Nets for Fraud Detection

Locally Interpretable One-Class Anomaly Detection for Credit Card Fraud Detection


An All-MLP solution for Vision, from Google AI

MLP-Mixer: An all-MLP Architecture for Vision

Understanding Contrastive Learning Requires Incorporating Inductive Biases

Sensing Control Parameters of Flute from Microphone Sound Based on Machine Learning from Robotic Performer

Multilinear Mixture of Experts: Scalable Expert Specialization through
  Factorization


A Survey on Causal Inference

Representation Learning for Treatment Effect Estimation from Observational Data

A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling

A unified survey of treatment effect heterogeneity modeling and uplift modeling

Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge

Covariate-Balancing-Aware Interpretable Deep Learning Models for Treatment Effect Estimation

Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects

Causal Effect Estimation using Variational Information Bottleneck

Adversarial Distribution Balancing for Counterfactual Reasoning


Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

Rational neural networks


Real-time and accurate open-vocabulary end-to-end object detection

How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection

OmDet: Large-scale vision-language multi-dataset pre-training with multimodal detection network

Real-time Transformer-based Open-Vocabulary Detection with Efficient
  Fusion Head


ellipsenm: Ecological niche’s characterization using ellipsoids

Geographic potential of the world’s largest hornet,Vespa mandariniaSmith (Hymenoptera: Vespidae), worldwide and particularly in North America

A simulation-based method for selecting calibration areas for ecological niche models and species distribution models

Non-overlapping climatic niches and biogeographic barriers explain disjunct distributions of continental Urania moths

Ecological niche and potential geographic distributions of Dermacentor marginatus and Dermacentor reticulatus (Acari: Ixodidae) under current and future climate conditions

Out of sight, out of mind: Phylogenetic and taxonomic gaps imply great underestimations of the species’ vulnerability to global climate change

Perspectives in Ecology and Conservation

Assessing the Effectiveness of Correlative Ecological Niche Model Temporal Projection through Floristic Data

Broad-scale factors shaping the ecological niche and geographic distribution of Spirodela polyrhiza

Predicting climate-driven distribution shifts inHyalomma marginatum(Ixodidae)

New Distributional Records and Characterization of the Climatic Niche of Lepturges (Lepturges) limpidus Bates, 1872 (Coleoptera, Cerambycidae): Sink or Source Population?


Efficient Algorithms for L0 Regularized Learning

Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms

Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives

Fast Sparse Classification for Generalized Linear and Additive Models

L0Learn: A Scalable Package for Sparse Learning using L0 Regularization

Safe Peeling for L0-Regularized Least-Squares with supplementary material


Python implementation of "Factorizing Personalized Markov Chains for Next-Basket Recommendation"

A Survey on Session-based Recommender Systems

Learning Post-Hoc Causal Explanations for Recommendation

Characterizing and Predicting Repeat Food Consumption Behavior for Just-in-Time Interventions

Proceedings of the 9th International Conference on Digital Public Health

A Systematical Evaluation for Next-Basket Recommendation Algorithms


DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data

DISC: a highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning

Zenodo (CERN European Organization for Nuclear Research)

Imputation Methods for scRNA Sequencing Data

An Overview of Algorithms and Associated Applications for Single Cell RNA-Seq Data Imputation


Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect

Adversarial Sampling for Active Learning

Label-Noise Robust Generative Adversarial Networks

Improving GAN Training with Probability Ratio Clipping and Sample Reweighting

Class-Distinct and Class-Mutual Image Generation with GANs


Genetic Algorithm Package for Python

An exponentially more efficient optimization algorithm for noisy quantum computers

Parameter Calibration to Improve the Prediction of Tropical Cyclones over the Bay of Bengal Using Machine Learning–Based Multiobjective Optimization

What can we Learn by Predicting Accuracy?

DiverGet: a Search-Based Software Testing approach for Deep Neural Network Quantization assessment

Control of the von Neumann Entropy for an Open Two-Qubit System Using Coherent and Incoherent Drives

Rapid Design of Fully Soft Deployable Structures Via Kirigami Cuts and Active Learning


SpaGE: Spatial Gene Enhancement using scRNA-seq

GCNG: graph convolutional networks for inferring gene interaction from spatial transcriptomics data

SEAM is a spatial single nuclear metabolomics method for dissecting tissue microenvironment

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

Minimal gene set discovery in single-cell mRNA-seq datasets with ActiveSVM

Active feature selection discovers minimal gene sets for classifying cell types and disease states with single-cell mRNA-seq data

SpatialMap: Spatial Mapping of Unmeasured Gene Expression Profiles in Spatial Transcriptomic Data Using Generalized Linear Spatial Models


Source code for "Packed Levitated Marker for Entity and Relation Extraction"

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

KG-CTG: Citation Generation Through Knowledge Graph-Guided Large Language Models


Sign Language Translation with Transformers (COLING'2020, ECCV'20 SLRTP Workshop)

Better Sign Language Translation with STMC-Transformer

Sign Language Translation with Transformers.

Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation