Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments

Inherited causes of clonal haematopoiesis in 97,691 whole genomes

A simple guide to de novo transcriptome assembly and annotation

A new paradigm for accelerating clinical data science at Stanford Medicine

Clonal hematopoiesis in sickle cell disease

Scalable Data Analysis in Proteomics and Metabolomics Using BioContainers and Workflows Engines

Building containerized workflows using the BioDepot-workflow-builder (Bwb)

uap: reproducible and robust HTS data analysis

Unifying package managers, workflow engines, and containers: Computational reproducibility with BioNix

Design and implementation of a hybrid cloud system for large-scale human genomic research

TheiaEuk: a species-agnostic bioinformatics workflow for fungal genomic characterization


The NEST simulator

Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size

Evolving interpretable plasticity for spiking networks

Connectivity concepts in neuronal network modeling

The NEST Dry-Run Mode: Efficient Dynamic Analysis of Neuronal Network Simulation Code

Prominent characteristics of recurrent neuronal networks are robust against low synaptic weight resolution

A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations

Runtime Construction of Large-Scale Spiking Neuronal Network Models on GPU Devices


A Chaos Engineering Platform for Kubernetes.

Frisbee: A Suite for Benchmarking Systems Recovery

Proceedings of the 1st Workshop on High Availability and Observability of Cloud Systems

Generic and Robust Root Cause Localization for Multi-Dimensional Data in Online Service Systems

Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics

A Comprehensive Benchmarking Analysis of Fault Recovery in Stream
  Processing Frameworks

Event-Driven Testing For Edge Applications


Creative Commons Attribution 4.0 International

Open source documentation of Microsoft Azure

SCARFF: A scalable framework for streaming credit card fraud detection with spark

InternLM2 Technical Report

Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering

Robust Sewer Defect Detection With Text Analysis Based on Deep Learning

QuickFaaS: Providing Portability and Interoperability between FaaS Platforms

How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment

InternLM-Law: An Open Source Chinese Legal Large Language Model


The C++ Standard Library for Parallelism and Concurrency

HPX -- An open source C++ Standard Library for Parallelism and Concurrency

Stellar Mergers with HPX-Kokkos and SYCL: Methods of using an Asynchronous Many-Task Runtime System with SYCL

Simulating Stellar Merger using HPX/Kokkos on A64FX on Supercomputer Fugaku

Many Cores, Many Models: GPU Programming Model vs. Vendor Compatibility Overview

Implementing Software Resiliency in HPX for Extreme Scale Computing

Towards Distributed Software Resilience in Asynchronous Many-Task Programming Models.

Supporting OpenMP 5.0 Tasks in hpxMP - A study of an OpenMP implementation within Task Based Runtime Systems

Evaluating HPX and Kokkos on RISC-V using an astrophysics application Octo-Tiger

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis


A simple, decentralized dependency manager for Cocoa

Analysis of Library Dependency Networks of Package Managers Used in iOS Development

iLibScope: Reliable Third-Party Library Detection for iOS Mobile Apps


A documentation generator for Julia.

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

An Understandable, Extensible, and Reusable Implementation of the Hodgkin-Huxley Equations Using Modelica

OutlierDetection.jl: A modular outlier detection ecosystem for the Julia programming language


Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.

Nonconforming Dirichlet boundary conditions in implicit material point method by means of penalty augmentation

Partitioned simulation strategies for fluid–structure–control interaction problems by Gauss–Seidel formulations

Advanced Modeling and Simulation in Engineering Sciences

A partitioned material point method and discrete element method coupling scheme

A Unified Arbitrary Lagrangian–Eulerian Model for Fluid–Structure Interaction Problems Involving Flows in Flexible Channels

Realization of a Framework for Simulation-Based Large-Scale Shape Optimization Using Vertex Morphing

Journal of Optimization Theory and Applications

Investigating the Vibration Mitigation Efficiency of Tuned Sloshing Dampers Using a Two-Fluid CFD Approach

Gradient-Free and Gradient-Based Optimization of a Radial Turbine

International Journal of Turbomachinery, Propulsion and Power

Enriched finite element approach for modeling discontinuous electric field in multi-material problems

A subspace‐adaptive weights cubature method with application to the local hyperreduction of parameterized finite element models


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

PennyLane: Automatic differentiation of hybrid quantum-classical computations

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

A Quantum Computing View on Unitary Coupled Cluster Theory

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

Secure quantum computing for healthcare sector: A short analysis

Quantum Algorithms for solving Hard Constrained Optimisation Problems

An Empirical Study of Bugs in Quantum Machine Learning Frameworks

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

Bug Characteristics in Quantum Software Ecosystem

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


The leading Wasm Runtime supporting WASIX and WASI

A fast in-place interpreter for WebAssembly

Characterizing and Detecting WebAssembly Runtime Bugs

Security risks of porting C programs to webassembly

Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing

Fuzzm: Finding Memory Bugs through Binary-Only Instrumentation and Fuzzing of WebAssembly

The Security Risk of Lacking Compiler Protection in WebAssembly

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

Whose baseline compiler is it anyway?

WRTester: Differential Testing of WebAssembly Runtimes via Semantic-aware Binary Generation

Stop Hiding The Sharp Knives: The WebAssembly Linux Interface

Revealing Performance Issues in Server-side WebAssembly Runtimes via Differential Testing


:mag: ScanCode detects licenses, copyrights, dependencies by "scanning code" ... to discover and inventory open source and third-party packages used in your code. Sponsored by NLnet project https://nlnet.nl/project/vulnerabilitydatabase, the Google Summer of Code, Azure credits, nexB and others generous sponsors!

StarCoder 2 and The Stack v2: The Next Generation

From one to hundreds: multi-licensing in the JavaScript ecosystem

Sorrel: an IDE Plugin for Managing Licenses and Detecting License Incompatibilities

FQL: An Extensible Feature Query Language and Toolkit on Searching Software Characteristics for HPC Applications

S3LLM: Large-Scale Scientific Software Understanding with LLMs using
  Source, Metadata, and Document


N-D labeled arrays and datasets in Python

SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

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

cesium: Open-Source Platform for Time-Series Inference

Exempla Gratis (E.G.): Code Examples for Free

Actions speak louder than words: Semi-supervised learning for browser fingerprinting detection

Unsupervised Evaluation of Code LLMs with Round-Trip Correctness

Scikit-spectra: Explorative Spectroscopy in Python

Machine Learning Modeling of Aedes albopictus Habitat Suitability in the 21st Century

TestGenEval: A Real World Unit Test Generation and Test Completion
  Benchmark


Repository for OpenCV's extra modules

Three-Filters-to-Normal: An Accurate and Ultrafast Surface Normal Estimator

International Conference on Robotics and Automation

Meta-Interpretive Learning from noisy images

A Vision-Based Odometer for Localization of Omnidirectional Indoor Robots

Resource Management in Edge and Fog Computing using FogBus2 Framework

IMouse: Eyes Gesture Control System

International Journal of Advanced Computer Science and Applications

Smart glasses for blind people

Reflection-Aware Generation and Identification of Square Marker Dictionaries

Depth Image Selection Based on Posture for Calf Body Weight Estimation

MT3S: Mobile Turkish Scene Text-to-Speech System for the Visually Impaired

Development of a Vision System for an Intelligent Robotic Hand Prosthesis Using Neural Network Technology


Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.

Invited: Automated Code generation for Information Technology Tasks in YAML through Large Language Models

DevReplay: Automatic Repair with Editable Fix Pattern

Backports: Change Types, Challenges and Strategies

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension

SBFT Tool Competition 2024 -- Python Test Case Generation Track

Multi-language Unit Test Generation using LLMs

Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP)

International Conference on Cognitive Machine Intelligence


Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Playing Atari with Deep Reinforcement Learning

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Asynchronous Methods for Deep Reinforcement Learning

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

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

A Contextual-Bandit Approach to Personalized News Article Recommendation

Curiosity-driven Exploration by Self-supervised Prediction

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning


Unicorn CPU emulator framework (ARM, AArch64, M68K, Mips, Sparc, PowerPC, RiscV, S390x, TriCore, X86)

InternalBlue - Bluetooth Binary Patching and Experimentation Framework

International Conference on Mobile Systems, Applications, and Services

On the effectiveness of binary emulation in malware classification


Vagrant is a tool for building and distributing development environments.

preCICE v2: A sustainable and user-friendly coupling library

APR: Architectural Pattern Recommender

State of the Practice for GIS Software


An interpreter for Rust's mid-level intermediate representation

Stacked borrows: an aliasing model for Rust

Proceedings of the ACM on Programming Languages

SafeDrop: Detecting Memory Deallocation Bugs of Rust Programs via Static Data-flow Analysis

A Grounded Conceptual Model for Ownership Types in Rust

Sound Borrow-Checking for Rust via Symbolic Semantics

Is unsafe an Achilles' Heel? A Comprehensive Study of Safety Requirements in Unsafe Rust Programming

Yuga: Automatically Detecting Lifetime Annotation Bugs in the Rust Language

An Executable Operational Semantics for Rust with the Formalization of Ownership and Borrowing


A free and strong UCI chess engine

Chess AI: Competing Paradigms for Machine Intelligence

Emergent World Models and Latent Variable Estimation in Chess-Playing
  Language Models

Neural Networks for Chess


Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

HoME: a Household Multimodal Environment

Memory-based Deep Reinforcement Learning for POMDPs

Comparing Popular Simulation Environments in the Scope of Robotics and Reinforcement Learning

Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning

Active 3D Shape Reconstruction from Vision and Touch

From Pixels to Legs: Hierarchical Learning of Quadruped Locomotion

Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions

Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains

Seeking Quality Diversity in Evolutionary Co-design of Morphology and Control of Soft Tensegrity Modular Robots

Proceedings of the Genetic and Evolutionary Computation Conference

Rhoban Football Club: RoboCup Humanoid KidSize 2019 Champion Team Paper


very currency

Retrofitting a two-way peg between blockchains

Analysis on Blockchain Consensus Mechanism Based on Proof of Work and Proof of Stake

Looking for related discussions on GitHub Discussions

Estimating Patch Propagation Times across (Blockchain) Forks


Ethereum consensus client in Rust

Strategic Latency Reduction in Blockchain Peer-to-Peer Networks

Resource Analysis of Ethereum 2.0 Clients

Security Review of Ethereum Beacon Clients

Decentralization of Ethereum's Builder Market

Can we run our Ethereum nodes at home?


UNIX-like reverse engineering framework and command-line toolset

SAFE: Self-Attentive Function Embeddings for Binary Similarity

FirmUSB: Vetting USB Device Firmware using Domain Informed Symbolic Execution

Conference on Computer and Communications Security

SoK: All You Ever Wanted to Know About x86/x64 Binary Disassembly But Were Afraid to Ask

InternalBlue - Bluetooth Binary Patching and Experimentation Framework

IoT Malware Analysis Using Federated Learning: A Comprehensive Survey

JuCify: A Step Towards Android Code Unification for Enhanced Static Analysis

Android Code Protection via Obfuscation Techniques: Past, Present and Future Directions

Same File, Different Changes: The Potential of Meta-Maintenance on GitHub

Towards Generic Deobfuscation of Windows API Calls

UniASM: Binary Code Similarity Detection without Fine-tuning


Protein-protein binding affinity benchmark

On the binding affinity of macromolecular interactions: daring to ask why proteins interact

Updates to the Integrated Protein-Protein Interaction Benchmarks: Docking Benchmark Version 5 and Affinity Benchmark Version 2.

A structure‐based benchmark for protein–protein binding affinity

Protein science : a publication of the Protein Society

Erratum: Are scoring functions in protein - Protein Docking Ready to predict interactomes? Clues from a novel binding affinity benchmark (Journal of Proteome Research (2010) 9 (2216-2225)

Proteins feel more than they see: fine-tuning of binding affinity by properties of the non-interacting surface.

Molecular origins of binding affinity: seeking the Archimedean point.

HADDOCK(2P2I): a biophysical model for predicting the binding affinity of protein-protein interaction inhibitors.

Journal of chemical information and modeling


A series of BERT and Albert model checkpoints trained to reduce gendered correlations in pre-training

Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models

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

Benchmarking Intersectional Biases in NLP

Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models

Co^2PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning

DiFair: A Benchmark for Disentangled Assessment of Gender Knowledge and Bias


Benchmarking treewidth as a practical component of tensor network simulations

Positive-Instance Driven Dynamic Programming for Graph Searching

A Machine Learning Approach to Algorithm Selection for Exact Computation of Treewidth


Code to reproduce the experiments in The Mirage of Action-Dependent Baselines in Reinforcement Learning.

Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic

Backpropagation through the Void: Optimizing control variates for black-box gradient estimation

Action-depedent Control Variates for Policy Optimization via Stein's Identity


This is the implementation for the paper "Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning"

Data augmentation of wearable sensor data for parkinson’s disease monitoring using convolutional neural networks

International Conference on Multimodal Interfaces

Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data

Transformer Networks for Data Augmentation of Human Physical Activity Recognition


NAS Parallel Benchmarks 3.0 OpenMP C version

The ARM Scalable Vector Extension

Posit NPB: Assessing the Precision Improvement in HPC Scientific Applications

Parallel Processing and Applied Mathematics

Energy-Efficiency Evaluation of OpenMP Loop Transformations and Runtime Constructs


Training and Evaluation Code for Neural Volumes

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Neural Sparse Voxel Fields

Neural Volumes: Learning Dynamic Renderable Volumes from Images

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


BEER determines an ECC code's parity-check matrix based on the uncorrectable errors it can cause. BEER targets Hamming codes that are used for DRAM on-die ECC but can be extended to apply to other linear block codes (e.g., BCH, Reed-Solomon). BEER is described in the 2020 MICRO paper by Patel et al.: https://arxiv.org/abs/2009.07985.

Bit-Exact ECC Recovery (BEER): Determining DRAM On-Die ECC Functions by Exploiting DRAM Data Retention Characteristics

HARP: Practically and Effectively Identifying Uncorrectable Errors in Memory Chips That Use On-Die Error-Correcting Codes

Enabling Effective Error Mitigation in Memory Chips That Use On-Die Error-Correcting Codes

Improving DRAM Performance, Reliability, and Security by Rigorously Understanding Intrinsic DRAM Operation


Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks

The Unreasonable Effectiveness Of Early Discarding After One Epoch In Neural Network Hyperparameter Optimization


Data-driven reduced order modeling for nonlinear dynamical systems

Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds

Data-driven nonlinear model reduction to spectral submanifolds in mechanical systems

Nonlinear model reduction to fractional and mixed-mode spectral submanifolds.

Dynamics-based machine learning of transitions in Couette flow

Nonlinear Model Reduction to Temporally Aperiodic Spectral Submanifolds

Data-Assisted Non-Intrusive Model Reduction for Forced Nonlinear Finite Elements Models

Data-driven linearization of dynamical systems

Data-driven modelling of the regular and chaotic dynamics of an inverted flag from experiments


On the Embedding Collapse when Scaling up Recommendation Models

STEM: Unleashing the Power of Embeddings for Multi-task Recommendation

Temporal Interest Network for User Response Prediction

Ads Recommendation in a Collapsed and Entangled World


Why do tree-based models still outperform deep learning on tabular data?

When Do Neural Nets Outperform Boosted Trees on Tabular Data?

Why In-Context Learning Transformers are Tabular Data Classifiers


[ECCV 2024] UMBRAE: Unified Multimodal Brain Decoding | Unveiling the 'Dark Side' of Brain Modality

Brain Captioning: Decoding human brain activity into images and text

DREAM: Visual Decoding from Reversing Human Visual System


BayOTIDE-Bayesian Online Multivariate Time Series Imputation with Functional Decomposition (ICML 2024 spotlight)

Deep Learning for Multivariate Time Series Imputation: A Survey

BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition

Foundational Inference Models for Dynamical Systems


JAX Implementations of Descript Audio Codec and EnCodec

High Fidelity Neural Audio Compression

High-Fidelity Audio Compression with Improved RVQGAN


Nearest Neighbor Machine Translation

kNN-BOX: A Unified Framework for Nearest Neighbor Generation

HistAlign: Improving Context Dependency in Language Generation by Aligning with History

Pluggable Neural Machine Translation Models via Memory-augmented Adapters


Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022

Semi-Supervised Classification with Graph Convolutional Networks

Graph Attention Networks

Multitask Active Learning for Graph Anomaly Detection


“When everything is connected to everything else, for better or worse, everything matters.” Bruce Mau

INT-Hi-C reveals distinct chromatin architecture in endosperm and leaf tissues of Arabidopsis

The genome of Orychophragmus violaceus provides genomic insights into the evolution of Brassicaceae polyploidization and its distinct traits

Karyotype evolution of the Asterids insights from the first genome sequences of the family Cornaceae

DNA research : an international journal for rapid publication of reports on genes and genomes

The genome sequence and demographic history of Przewalskia tangutica (Solanaceae), an endangered alpine plant on the Qinghai-Tibet Plateau


Another software library on hierarchical matrices for elliptic differential equations

hm-toolbox: Matlab software for HODLR and HSS matrices

Algorithmic patterns for ℋ-matrices on many-core processors

A scalable H-matrix approach for the solution of boundary integral equations on multi-GPU clusters

Fast solution of boundary integral equations for elasticity around a crack network: a comparative study


[ACCV 2024] ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes

LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images

ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing


Code for paper "VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos"

Learning Video Representations from Large Language Models

VideoAgent: Long-form Video Understanding with Large Language Model as
  Agent


PDF Structure and Syntactic Analysis for Metadata Extraction and Tagging - https://code.google.com/p/pdfssa4met/

Machine Learning vs. Rules and Out-of-the-Box vs. Retrained: An Evaluation of Open-Source Bibliographic Reference and Citation Parsers

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

ParsRec: A Novel Meta-Learning Approach to Recommending Bibliographic Reference Parsers

A Hybrid Approach and Unified Framework for Bibliographic Reference Extraction

Structured references from PDF articles: assessing the tools for bibliographic reference extraction and parsing


Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation

Mitigating Hallucinations in Large Vision-Language Models with
  Instruction Contrastive Decoding

Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models


[UNMAINTAINED] Point spread function modeling tool

Point spread function modelling for astronomical telescopes: a review focused on weak gravitational lensing studies

Frontiers in Astronomy and Space Sciences

A new strategy for matching observed and simulated lensing galaxies

Monthly Notices of the Royal Astronomical Society

Measuring the Substructure Mass Power Spectrum of 23 SLACS Strong
  Galaxy-Galaxy Lenses with Convolutional Neural Networks


The implementation of Discriminator Soft Actor Critic

Soft Actor-Critic Algorithms and Applications

SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards

Discriminator Soft Actor Critic without Extrinsic Rewards


A Suite for Parallel Inference of Diffusion Transformers (DiTs) on multi-GPU Clusters

DistriFusion: Distributed Parallel Inference for High-Resolution
  Diffusion Models

USP: A Unified Sequence Parallelism Approach for Long Context Generative AI

PipeFusion: Patch-level Pipeline Parallelism for Diffusion Transformers
  Inference


Segmented anisotropic ssTEM dataset of neural tissue

Deep learning based domain adaptation for mitochondria segmentation on EM volumes

Cost-efficient segmentation of electron microscopy images using active learning

WDA-Net: Weakly-Supervised Domain Adaptive Segmentation of Electron Microscopy


Training data-efficient image transformers & distillation through attention

Emerging Properties in Self-Supervised Vision Transformers

CvT: Introducing Convolutions to Vision Transformers

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

Going deeper with Image Transformers

Twins: Revisiting the Design of Spatial Attention in Vision Transformers

LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference

Rethinking Spatial Dimensions of Vision Transformers

DeepViT: Towards Deeper Vision Transformer


Riemannian stochastic optimization algorithms: Version 1.0.3

Riemannian adaptive stochastic gradient algorithms on matrix manifolds

Riemannian Stochastic Recursive Gradient Algorithm

International Conference on Machine Learning

Projection-free nonconvex stochastic optimization on Riemannian manifolds

Riemannian stochastic variance reduced gradient on Grassmann manifold

Nonconvex stochastic optimization on manifolds via Riemannian Frank-Wolfe methods.

Riemannian Natural Gradient Methods


Implementation of Gated End-to-End Memory Networks with sklearn-like interface using Tensorflow. Tasks are from the bAbl dataset.

End-To-End Memory Networks

Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

Gated End-to-End Memory Networks


Matrix and Tensor Completion for Background Model Initialization

Riemannian preconditioned algorithms for tensor completion via tensor ring decomposition

Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization

Tensor Completion via Tensor Networks with a Tucker Wrapper


Estimating extinction using unsupervised machine learning

Distances to Nearby Molecular Clouds Traced by Young Stars

Optimal extinction measurements - I. Single-object extinction inference

Dust extinction map of the Galactic plane based on the VVV survey data


Federated Bilevel Optimization

Optimizing Millions of Hyperparameters by Implicit Differentiation

FedNest: Federated Bilevel, Minimax, and Compositional Optimization

SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning


On Network Design Spaces for Visual Recognition

Speedy Performance Estimation for Neural Architecture Search

Generic Neural Architecture Search via Regression

Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis


[ACL 2024] Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization

Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study

GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts


RAVEN: A Dataset for Relational and Analogical Visual rEasoNing

Few-shot Visual Reasoning with Meta-analogical Contrastive Learning

A Cognitively-Inspired Neural Architecture for Visual Abstract Reasoning Using Contrastive Perceptual and Conceptual Processing

Computational Models of Solving Raven's Progressive Matrices: A Comprehensive Introduction


Pipeline for annotating genomes using long read transcriptomics data with pinfish

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

LARP1 isoform expression in human cancer cell lines

Full-length transcript sequencing of human and mouse identifies widespread isoform diversity and alternative splicing in the cerebral cortex


Audio-Conditioned U-Net for Position Estimation in Full Sheet Images

FiLM: Visual Reasoning with a General Conditioning Layer

Learning to Read and Follow Music in Complete Score Sheet Images


Source code for the ICCV-2019 paper "Co-segmentation Inspired Attention Networks for Video-based Person Re-identification"

Omni-Scale Feature Learning for Person Re-Identification

Revisiting Temporal Modeling for Video-based Person ReID

Co-Segmentation Inspired Attention Networks for Video-Based Person Re-Identification

International Conference on Computer Vision

Co-segmentation Inspired Attention Module for Video-based Computer Vision Tasks


A fast sparse attack on deep neural networks.

DeepFool: a simple and accurate method to fool deep neural networks

SparseFool: a few pixels make a big difference

GreedyFool: Distortion-Aware Sparse Adversarial Attack

EdgeFool: An Adversarial Image Enhancement Filter


[ECIR 2024] Official repository for the paper titled "Self Contrastive Learning for Session-based Recommendation"

Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation

Global Context Enhanced Graph Neural Networks for Session-based Recommendation

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

Self-Supervised Graph Co-Training for Session-based Recommendation


Event camera (DVS, Spike) based Papers Published on Top International Conference

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

Learning Bottleneck Transformer for Event Image-Voxel Feature Fusion based Classification

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


[TIP'20] Official Implementation of MEF-SSIMd

Multi-Exposure Image Fusion Techniques: A Comprehensive Review

Perceptual Evaluation for Multi-Exposure Image Fusion of Dynamic Scenes

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

Study on the enhancement method of online monitoring image of dense fog environment with power lines in smart city

Multi-exposure electric power monitoring image fusion method without ghosting based on exposure fusion framework and color dissimilarity feature


Code for Effective Neural Topic Modeling with Embedding Clustering Regularization (ICML2023)

Enhanced Short Text Modeling: Leveraging Large Language Models for Topic
  Refinement

GINopic: Topic Modeling with Graph Isomorphism Network


Isotonic Distributional Regression (IDR)

Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparison

Isotonic distributional regression

Journal of the Royal Statistical Society Series B: Statistical Methodology

Distributional (Single) Index Models

Decompositions of the mean continuous ranked probability score


Constituency parser for English and Chinese, built on the RNNG and In-Order parsers with BERT

Neural Architectures for Named Entity Recognition

Multilingual Constituency Parsing with Self-Attention and Pre-Training

Cross-Domain Generalization of Neural Constituency Parsers

Challenges to Open-Domain Constituency Parsing

Findings of the Association for Computational Linguistics: ACL 2022


HElib is an open-source software library that implements homomorphic encryption. It supports the BGV scheme with bootstrapping and the Approximate Number CKKS scheme. HElib also includes optimizations for efficient homomorphic evaluation, focusing on effective use of ciphertext packing techniques and on the Gentry-Halevi-Smart optimizations.

Gazelle: A Low Latency Framework for Secure Neural Network Inference

POSEIDON: Privacy-Preserving Federated Neural Network Learning

Preserving privacy in speaker and speech characterisation

A review of homomorphic encryption and software tools for encrypted statistical machine learning

A Review of Privacy-preserving Federated Learning for the Internet-of-Things

A Survey of Deep Learning Techniques for Cybersecurity in Mobile Networks

IEEE Communications Surveys and Tutorials

Practical Privacy-Preserving Data Science With Homomorphic Encryption: An Overview

Conditionals in Homomorphic Encryption and Machine Learning Applications

Efficient Privacy-Preserving Fingerprint-Based Authentication System Using Fully Homomorphic Encryption

Achieving Secure and Differentially Private Computations in Multiparty Settings


Sampling Matters in Deep Embedding Learning

Multimodal Metric Learning for Tag-based Music Retrieval

Supervised and Unsupervised Learning of Audio Representations for Music Understanding


Library for working with 3D rotations in Matlab/Octave

Fused Angles: A Representation of Body Orientation for Balance

Fast Whole-Body Motion Control of Humanoid Robots with Inertia Constraints

Fused Angles and the Deficiencies of Euler Angles

Online Balanced Motion Generation for Humanoid Robots

Bipedal Walking with Corrective Actions in the Tilt Phase Space

Tilt Rotations and the Tilt Phase Space


[CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899

SoTTA: Robust Test-Time Adaptation on Noisy Data Streams

Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios

AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation


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

Choosing the Optimal Numerical Precision for Data Assimilation in the Presence of Model Error

Journal of Advances in Modeling Earth Systems

Development of an ensemble Kalman filter data assimilation system for the Venusian atmosphere

Non-Gaussian statistics in global atmospheric dynamics: a study with a 10 240-member ensemble Kalman filter using an intermediate atmospheric general circulation model

An ensemble Kalman filter data assimilation system for the whole neutral atmosphere

Revealing the sulfur dioxide emission reductions in China by assimilating surface observations in WRF-Chem

Improving the joint estimation of CO2 and surface carbon fluxes using a constrained ensemble Kalman filter in COLA (v1.0)

An update on the 4D-LETKF data assimilation system for the whole neutral atmosphere

Using Observations near the Poles in the AFES-LETKF Data Assimilation System

Do surface lateral flows matter for data assimilation of soil moisture observations into hyperresolution land models?

Combining Ensemble Kalman Filter and Reservoir Computing to predict spatio-temporal chaotic systems from imperfect observations and models


Codes used to simulate the action potential in myelinated axons by Arancibia-Carcamo, Ford, Cossell, Ishida, Tohyama & Attwell (2017, eLife) (MyelinatedAxonModel) and by Lezmy, Arancibia-Carcamo, Quintela-Lopez, Sherman, Brophy & Attwell (2021, Science) (AdenosineEffectsOnMyelinatedAxon).

Estimating axon conduction velocity in vivo from microstructural MRI

Mapping axon conduction delays in vivo from microstructural MRI

Predicting the Influence of Axon Myelination on Sound Localization Precision Using a Spiking Neural Network Model of Auditory Brainstem


[ACL 2022] LinkBERT: A Knowledgeable Language Model  Pretrained with Document Links

LinkBERT: Pretraining Language Models with Document Links

Pre-trained Language Models in Biomedical Domain: A Systematic Survey

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

SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research
  Repositories


CellRank's reproducibility repository.

Alveolar regeneration through a Krt8+ transitional stem cell state that persists in human lung fibrosis

CellRank for directed single-cell fate mapping

Single-cell mapping of lineage and identity in direct reprogramming

Comprehensive single cell mRNA profiling reveals a detailed roadmap for pancreatic endocrinogenesis


Multi-Modal Transformer for Video Retrieval

Multi-modal Transformer for Video Retrieval

TEACHTEXT: CrossModal Generalized Distillation for Text-Video Retrieval

Exposing the Limits of Video-Text Models through Contrast Sets

What Matters for Ad-hoc Video Search? A Large-scale Evaluation on TRECVID

Write What You Want: Applying Text-to-Video Retrieval to Audiovisual Archives


MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. MLGB是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。

Neural Collaborative Filtering

Wide & Deep Learning for Recommender Systems

Deep Neural Networks for YouTube Recommendations

PROCEEDINGS OF THE 10TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'16)

Factorization Machines

An Overview of Multi-Task Learning in Deep Neural Networks

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Session-based Recommendations with Recurrent Neural Networks

Self-Attentive Sequential Recommendation

Learning deep structured semantic models for web search using clickthrough data

PROCEEDINGS OF THE 22ND ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM'13)

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer


Framework for writing bots that play Hanabi.

The Hanabi Challenge: A New Frontier for AI Research

Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning

Improving Policies via Search in Cooperative Partially Observable Games

Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi

Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners

Theory of Mind for Deep Reinforcement Learning in Hanabi

Is Vanilla Policy Gradient Overlooked? Analyzing Deep Reinforcement Learning for Hanabi


Reciprocal Attention Mixing Transformer for Lightweight Image Restoration (CVPR 2024 Workshop)

N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution

Exploration of Lightweight Single Image Denoising with Transformers and Truly Fair Training


GPT-4 Technical Report

Evaluating Superhuman Models with Consistency Checks


To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to the direction of travel of information in convection-diffusion equations, i.e., method of characteristic; The repository includes a pytorch implementation of PINN and proposed LPINN with periodic boundary conditions

Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations

PyHessian: Neural Networks Through the Lens of the Hessian

Respecting causality is all you need for training physics-informed neural networks

Lagrangian PINNs: A causality-conforming solution to failure modes of physics-informed neural networks

Computer Methods in Applied Mechanics and Engineering


My Java codes for the MOA framework. It includes the implementations of FHDDM, FHDDMS, and MDDMs.

Fast Hoeffding Drift Detection Method for Evolving Data Streams

McDiarmid Drift Detection Methods for Evolving Data Streams

Reservoir of diverse adaptive learners and stacking fast hoeffding drift detection methods for evolving data streams

A Reservoir of Adaptive Algorithms for Online Learning from Evolving Data Streams


RL STaR is a platform for creating AI for robotic applications. Researchers can share their work in the form of new robots or new tasks. Everything was made in a modular fashion to be easy to use and easy to share.

Deep Learned Path Planning via Randomized Reward-Linked-Goals and Potential Space Applications

PPMC Training Algorithm: A Robot Independent Rough Terrain Deep Learning Based Path Planner and Motion Controller

RL STaR Platform: Reinforcement Learning for Simulation based Training of Robots


Data science in R notes

mice: Multivariate Imputation by Chained Equations in R

MissForest—non-parametric missing value imputation for mixed-type data

UpSetR: an R package for the visualization of intersecting sets and their properties

missMDA: A Package for Handling Missing Values in Multivariate Data Analysis

Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model

ClusterEnG: an interactive educational web resource for clustering and visualizing high-dimensional data

containerit: Generating Dockerfiles for reproducible research with R


A PyTorch implementation of D-RISE

MMDetection: Open MMLab Detection Toolbox and Benchmark

RISE: Randomized Input Sampling for Explanation of Black-box Models

Black-box Explanation of Object Detectors via Saliency Maps


The PyTorch implementation of paper SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL. (NeurIPS 2021)

RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers

Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training


MISTTBORN exoplanet fitting code, and various associated codes

TESS Hunt for Young and Maturing Exoplanets (THYME): A Planet in the 45 Myr Tucana-Horologium Association

TESS Hunt for Young and Maturing Exoplanets (THYME). III. A Two-planet System in the 400 Myr Ursa Major Group

TESS Hunt for Young and Maturing Exoplanets (THYME). II. A 17 Myr Old Transiting Hot Jupiter in the Sco-Cen Association

TESS Hunt for Young and Maturing Exoplanets (THYME). VI. An 11 Myr Giant Planet Transiting a Very-low-mass Star in Lower Centaurus Crux

TOI-503: The First Known Brown-dwarf Am-star Binary from the TESS Mission

Zodiacal exoplanets in time – X. The orbit and atmosphere of the young ‘neptune desert’-dwelling planet K2-100b

Monthly notices of the Royal Astronomical Society

H-alpha and Ca ii Infrared Triplet Variations During a Transit of the 23 Myr Planet V1298 Tau c

Zodiacal Exoplanets in Time (ZEIT). IX. A Flat Transmission Spectrum and a Highly Eccentric Orbit for the Young Neptune K2-25b as Revealed by Spitzer

An Aligned Orbit for the Young Planet V1298 Tau b

Transit Hunt for Young and Maturing Exoplanets (THYME). VIII. A Pleiades-age Association Harboring Two Transiting Planetary Systems from Kepler


An open-source Python library for extrinsic sensor calibration.

Globally Optimal Multi-Scale Monocular Hand-Eye Calibration Using Dual Quaternions

Extrinsic Infrastructure Calibration Using the Hand-Eye Robot-World Formulation


Implementation of Block Recurrent Transformer - Pytorch

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

Compressive Transformers for Long-Range Sequence Modelling

Block-Recurrent Transformers


Data used in "Machine learning modeling of superconducting critical temperature" paper

Inverse Design of Next-Generation Superconductors Using Data-Driven Deep Generative Models.

3DSC - a dataset of superconductors including crystal structures

Peaks in the electronic density of states are not strong predictors of Superconductivity


Awesome Automatic Guitar Transcription Resources

Automatic Transcription of Guitar Chords and Fingering From Audio

IEEE Transactions on Audio, Speech, and Language Processing

Multitask Learning for Polyphonic Piano Transcription, a Case Study

Isolated guitar transcription using a deep belief network

Joint Transcription of Lead, Bass, and Rhythm Guitars Based on a Factorial Hidden Semi-Markov Model

International Conference on Acoustics, Speech, and Signal Processing


Official release of source code for the Disclosure Avoidance System (DAS) used to protect against the disclosure of individual information based on published statistical summaries.

Transparent Privacy is Principled Privacy

An in-depth examination of requirements for disclosure risk assessment

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

Making Differential Privacy Work for Census Data Users

Noisy Measurements Are Important, the Design of Census Products Is Much More Important

Algorithmic Transparency and Participation through the Handoff Lens:
  Lessons Learned from the U.S. Census Bureau's Adoption of Differential
  Privacy


Code Repository for the IndicXNLI paper.

IndicXNLI: Evaluating Multilingual Inference for Indian Languages

L3Cube-IndicSBERT: A simple approach for learning cross-lingual sentence representations using multilingual BERT

L3Cube-MahaSBERT and HindSBERT: Sentence BERT Models and Benchmarking BERT Sentence Representations for Hindi and Marathi


Communication-efficient MARL for CACC

Neural Message Passing for Quantum Chemistry

Learning Multiagent Communication with Backpropagation

Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning

Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents

Communication-Efficient Decentralized Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control


Online Decision Transformer

Online Decision Transformer

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

Future-conditioned Unsupervised Pretraining for Decision Transformer

Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories

A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning

Reinformer: Max-Return Sequence Modeling for Offline RL


Universal Representations: A Unified Look at Multiple Task and Domain Learning

Universal Representation Learning from Multiple Domains for Few-shot Classification

Knowledge Distillation for Multi-task Learning


A self-contained C++ implementation of MMA and GCMMA.

Lagrangian–Eulerian multidensity topology optimization with the material point method

International Journal for Numerical Methods in Engineering

Cellular topology optimization on differentiable Voronoi diagrams

A Hybrid Lagrangian-Eulerian Method for Topology Optimization.


Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

Mean Field Multi-Agent Reinforcement Learning

DARL1N: Distributed multi-Agent Reinforcement Learning with One-hop Neighbors


Unofficail pytorch implementation of BigBiGAN

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Revisiting Self-Supervised Visual Representation Learning

Large Scale Adversarial Representation Learning


PyTorch reimplementation of the DiracGAN proposed in the paper "Which Training Methods for GANs do actually Converge?" [ICML 2018].

Improved Training of Wasserstein GANs

On the Effectiveness of Least Squares Generative Adversarial Networks

Wasserstein GAN

On Convergence and Stability of GANs

Geometric GAN


Datasets: road-scene-infrared-visible-images, for feature matching, image registration, and image fusion

DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion

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

Advances and Challenges in Multimodal Remote Sensing Image Registration

Efficient and Interpretable Infrared and Visible Image Fusion Via Algorithm Unrolling.


Virus metagenomic pipeline for unknown host or in absence of a host genome

Overview of Virus Metagenomic Classification Methods and Their Biological Applications

Novel Parvoviruses from Wild and Domestic Animals in Brazil Provide New Insights into Parvovirus Distribution and Diversity

Discovery of novel astrovirus and calicivirus identified in ruddy turnstones in Brazil

A Novel Hepacivirus in Wild Rodents from South America

Metaviromics Reveals Unknown Viral Diversity in the Biting Midge Culicoides impunctatus

Gas6 drives Zika virus-induced neurological complications in humans and congenital syndrome in immunocompetent mice

Pingu virus: A new picornavirus in penguins from Antarctica


Step by step instructions for body/thorax registration

MRF-Based Deformable Registration and Ventilation Estimation of Lung CT

Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT

IEEE transactions on bio-medical engineering

Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration

Estimating Large Lung Motion in COPD Patients by Symmetric Regularised Correspondence Fields

Medical Image Computing and Computer-Assisted Intervention


A Stan-like probabilistic programming language.

Probabilistic programming with densities in SlicStan: efficient, flexible, and deterministic

Proceedings of the ACM on Programming Languages

Conditional Independence by Typing

Program Analysis of Probabilistic Programs


Code for the paper Deep Active Inference as Variational Policy Gradients.

Applications of the Free Energy Principle to Machine Learning and Neuroscience

Deconstructing deep active inference


Microscopic diffusion anisotropy imaging made easy!

Multi-compartment microscopic diffusion imaging

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

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

Relevance of time‐dependence for clinically viable diffusion imaging of the spinal cord

Comprehensive diffusion MRI dataset for in vivo human brain microstructure mapping using 300 mT/m gradients

Comparison of Neurite Orientation Dispersion and Density Imaging and Two-Compartment Spherical Mean Technique Parameter Maps in Multiple Sclerosis

Brain-wide associations between white matter and age highlight the role of fornix microstructure in brain ageing

Bio-psycho-social factors’ associations with brain age: a large-scale UK Biobank diffusion study of 35,749 participants

Mapping tissue microstructure across the human brain on a clinical scanner with soma and neurite density image metrics

Volume electron microscopy in injured rat brain validates white matter microstructure metrics from diffusion MRI


Official code for paper "Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors"

Optimizing the Latent Space of Generative Networks

Implicit Maximum Likelihood Estimation

Data InStance Prior (DISP) in Generative Adversarial Networks


Investigation of End-To-End Speaker-Attributed ASR for Continuous Multi-Talker Recordings

Streaming End-to-End Multi-Talker Speech Recognition

Streaming Multi-talker Speech Recognition with Joint Speaker Identification

Endpoint Detection for Streaming End-to-End Multi-talker ASR

Minimum Bayes Risk Training for End-to-End Speaker-Attributed ASR

Alignment-Free Training for Transducer-based Multi-Talker ASR


XAI Experiments on an Annotated Dataset of Wild Bee Images

CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision Models

Towards ML Methods for Biodiversity: A Novel Wild Bee Dataset and Evaluations of XAI Methods for ML-Assisted Rare Species Annotations

Uncertainty in XAI: Human Perception and Modeling Approaches

Machine Learning and Knowledge Extraction


GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

mRAT-SQL+GAP:A Portuguese Text-to-SQL Transformer

A multilingual translator to SQL with database schema pruning to improve self-attention

International journal of information technology


Notes on ChIP-seq and other-seq-related tools

TRRUST v2: an expanded reference database of human and mouse transcriptional regulatory interactions

CUT&Tag for efficient epigenomic profiling of small samples and single cells

The ENCODE Blacklist: Identification of Problematic Regions of the Genome

ChEA3: transcription factor enrichment analysis by orthogonal omics integration

ChIP-Atlas: a data-mining suite powered by full integration of public ChIP-seq data

Identification of transcription factor binding sites using ATAC-seq

Peak calling by Sparse Enrichment Analysis for CUT&RUN chromatin profiling

An interactive environment for agile analysis and visualization of ChIP-sequencing data

ReMap 2022: a database of Human, Mouse, Drosophila and Arabidopsis regulatory regions from an integrative analysis of DNA-binding sequencing experiments

Zenodo (CERN European Organization for Nuclear Research)

ReMap 2020: a database of regulatory regions from an integrative analysis of Human and Arabidopsis DNA-binding sequencing experiments


MDToolbox: A MATLAB/Octave toolbox for statistical analysis of molecular dynamics trajectories

Minimum Free Energy Path of Ligand-Induced Transition in Adenylate Kinase

Linking time-series of single-molecule experiments with molecular dynamics simulations by machine learning

Energetics and conformational pathways of functional rotation in the multidrug transporter AcrB

Dimensionality of Collective Variables for Describing Conformational Changes of a Multi-Domain Protein

The journal of physical chemistry letters

Influence of Structural Symmetry on Protein Dynamics

Sequential data assimilation for single-molecule FRET photon-counting data.

Origin and control of ionic hydration patterns in nanopores


Code for fair classification (SVM) and dimensionality reduction (PCA)

Convex Formulations for Fair Principal Component Analysis

Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms

Distributionally Robust Fair Principal Components via Geodesic Descents


Chromatic aberration simulation and correction

Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

Foundations and Trends® in Machine Learning

Blind deconvolution using a normalized sparsity measure

High-quality hyperspectral reconstruction using a spectral prior

International Conference on Computer Graphics and Interactive Techniques

Training-Based Spectral Reconstruction from a Single RGB Image

Color Correction Using Root-Polynomial Regression

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

Beyond Color Difference: Residual Interpolation for Color Image Demosaicking

Compact single-shot hyperspectral imaging using a prism

Adaptive Residual Interpolation for Color and Multispectral Image Demosaicking

Reference data set for camera spectral sensitivity estimation

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

Joint demosaicing and denoising of noisy bayer images with ADMM

International Conference on Information Photonics


SMTpred is a program which combines SNP effects or individual scores from multiple traits according to their sample size, SNP-heritability (h2) and genetic correlation (rG), in order to create more accurate polygenic risk scores.

Improving genetic prediction by leveraging genetic correlations among human diseases and traits

Multi-PGS enhances polygenic prediction by combining 937 polygenic scores

Polygenic risk scores: effect estimation and model optimization


Code Repository for the EMCL-PKDD 2021 "Multitask Recalibrated Aggregation Network for Medical Code Prediction)

A Unified Review of Deep Learning for Automated Medical Coding

Multitask Balanced and Recalibrated Network for Medical Code Prediction

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2021: APPLIED DATA SCIENCE TRACK, PT IV


A python script for finding telomeric repeats (TTAGGG/CCCTAA) in FASTA files

Genomic insights into the host specific adaptation of the Pneumocystis genus

A highly-contiguous genome assembly of the Eurasian spruce bark beetle, Ips typographus, provides insight into a major forest pest

A chromosomal-level reference genome of the widely utilizedCoccidioides posadasiilaboratory strain “Silveira”

New T2T assembly of Cryptosporidium parvum IOWA annotated with reference genome gene identifiers.

bioRxiv : the preprint server for biology

A new chromosome-level genome assembly and annotation of Cryptosporidium meleagridis.


Hyperspectral Super-Resolution by Coupled Spectral Unmixing

Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net

Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution

Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution With Subpixel Fusion

Self-Dictionary Regression for Hyperspectral Image Super-Resolution

A Multiresolution Details Enhanced Attentive Dual-UNet for Hyperspectral and Multispectral Image Fusion

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Hyperspectral Image Super-Resolution Based on Spatial Group Sparsity Regularization Unmixing


PEAN: A Diffusion-Based Prior-Enhanced Attention Network for Scene Text Image Super-Resolution (ACMMM 2024)

Improving Scene Text Image Super-resolution via Dual Prior Modulation Network

Text Image Inpainting via Global Structure-Guided Diffusion Models

PEAN: A Diffusion-based Prior-Enhanced Attention Network for Scene Text Image Super-Resolution


Library for the training and evaluation of object-centric models (ICML 2022)

Generalization and Robustness Implications in Object-Centric Learning

Robust and Controllable Object-Centric Learning through Energy-based Models

Spotlight Attention: Robust Object-Centric Learning With a Spatial Locality Prior


:microscope: A multi-method comparative bioinformatics pipeline to detect and study circRNAs from RNA-seq data

CirComPara: A Multi‐Method Comparative Bioinformatics Pipeline to Detect and Study circRNAs from RNA‐seq Data

Disease-Associated Circular RNAs: From Biology to Computational Identification

Biogenesis, Functions, Interactions, and Resources of Non-Coding RNAs in Plants

International journal of molecular sciences


[NeurIPS'22 Spotlight] When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning

Cross-Domain Policy Adaptation by Capturing Representation Mismatch

Benchmarks for Reinforcement Learning with Biased Offline Data and
  Imperfect Simulators


This repository provides details of the experimental code in the paper: Instance-based Counterfactual Explanations for Time Series Classification.

Instance-Based Counterfactual Explanations for Time Series Classification

TSInterpret: A unified framework for time series interpretability

Counterfactual Explanations for Multivariate Time-Series without Training Datasets


UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.

Isprs Journal of Photogrammetry and Remote Sensing

Multiattention Network for Semantic Segmentation of Fine-Resolution Remote Sensing Images

A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images

Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images

PyramidMamba: Rethinking Pyramid Feature Fusion with Selective Space
  State Model for Semantic Segmentation of Remote Sensing Imagery

AN END-TO-END DEEP LEARNING WORKFLOW FOR BUILDING SEGMENTATION, BOUNDARY REGULARIZATION AND VECTORIZATION OF BUILDING FOOTPRINTS

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


About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oq

A Survey on Time-Series Pre-Trained Models

From Similarity to Superiority: Channel Clustering for Time Series
  Forecasting

ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning


Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)

New Insights and Perspectives on the Natural Gradient Method

Preconditioned Stochastic Gradient Descent

IEEE transactions on neural networks and learning systems

Preconditioner on Matrix Lie Group for SGD

Black Box Lie Group Preconditioners for SGD

Curvature-Informed SGD via General Purpose Lie-Group Preconditioners


Autologistic Actor Attribute Model (ALAAM) parameter estimation, simulation, and goodness-of-fit

Fast Maximum Likelihood Estimation via Equilibrium Expectation for Large Network Data


Brain-related -omics data

An anatomically comprehensive atlas of the adult human brain transcriptome

Analysis of shared heritability in common disorders of the brain

Comprehensive functional genomic resource and integrative model for the human brain

Integrative functional genomic analysis of human brain development and neuropsychiatric risks

Epigenomic Signatures of Neuronal Diversity in the Mammalian Brain

Single-cell epigenomic analyses implicate candidate causal variants at inherited risk loci for Alzheimer's and Parkinson's diseases

An Atlas of Gene Regulatory Elements in Adult Mouse Cerebrum

Changes in genome architecture and transcriptional dynamics progress independently of sensory experience during post-natal brain development

Brain metastasis DNA methylomes, a novel resource for the identification of biological and clinical features

Widespread methylation quantitative trait loci and their role in schizophrenia risk


CCLasso: Correlation Inference for Compositional Data through Lasso

CCLasso: correlation inference for compositional data through Lasso

Robust covariance estimation for high‐dimensional compositional data with application to microbial communities analysis

Modeling Microbial Community Networks: Methods and Tools

SOHPIE: statistical approach via pseudo-value information and estimation for differential network analysis of microbiome data


papers we read about Recommendation Advertising & Search

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts

Recommending what video to watch next: a multitask ranking system

RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation

PAL: A Position-bias Aware Learning Framework for CTR Prediction in Live Recommender Systems


Toolbox to simulate GNF and viscoelastic fluid flows in OpenFOAM®

A coupled finite-volume solver for numerical simulation of electrically-driven flows

Electroosmotic Flow of Viscoelastic Fluid through a Constriction Microchannel

Shear Banding in 4:1 Planar Contraction

Unsteady motion past a sphere translating steadily in wormlike micellar solutions: A numerical analysis

Numerical simulation of electrically-driven flows using OpenFOAM

Experimental and Numerical Investigation of the Die Swell in 3D Printing Processes

Conjugate heat transfer in the unbounded flow of a viscoelastic fluid past a sphere

International Journal of Heat and Fluid Flow

Investigation and Modeling of the Magnetic Nanoparticle Aggregation with a Two-Phase CFD Model

Mapping the Volume Transfer of Graphene-Based Inks with the Gravure Printing Process: Influence of Rheology and Printing Parameters

Numerical study of viscoelastic upstream instability


Implementation of the MIWAE method for deep generative modelling of incomplete data sets.

Missing Data Imputation using Optimal Transport

Gradient Importance Learning for Incomplete Observations

Transformed Distribution Matching for Missing Value Imputation

Projected Latent Markov Chain Monte Carlo: Conditional Sampling of Normalizing Flows

Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data


Code for EMNLP2020 long paper: BERT-Attack: Adversarial Attack Against BERT Using BERT

BERT-ATTACK: Adversarial Attack Against BERT Using BERT

Towards a Robust Deep Neural Network in Texts: A Survey

Adversarial Robustness of Visual Dialog


A data web service, lightning talk.

Evaluation, Treatment, and Prevention of Vitamin D Deficiency: an Endocrine Society Clinical Practice Guideline

The Journal of clinical endocrinology and metabolism

Histopathologic and Myogenic Gene Expression Changes Associated with Wooden Breast in Broiler Breast Muscles

Epidemiology of East Coast fever (Theileria parva infection) in Kenya: past, present and the future

Tribology of selective laser melting processed parts: Stainless steel 316 L under lubricated conditions

A Spatial Analysis of Land Use and Network Effects on Frequency and Severity of Cyclist–Motorist Crashes in the Copenhagen Region

Bone morphogenetic proteins regulate enteric gliogenesis by modulating ErbB3 signaling

Preliminary Comparison of Properties between Ni-electroplated Stainless Steel Parts Fabricated with Laser Additive Manufacturing and Conventional Machining☆

Characterization of stress response involved in chicken myopathy

Primate and feline lentiviruses in current intrinsic immunity research: The cat is back

Veterinary immunology and immunopathology

Investigating the reasons behind the intention to report cycling crashes to the police and hospitals in Denmark

Transportation Research Part F: Traffic Psychology and Behaviour


Code and workloads from the Learned Cardinalities paper (https://arxiv.org/abs/1809.00677)

Learned Cardinalities: Estimating Correlated Joins with Deep Learning

An End-to-End Learning-based Cost Estimator

Deep Unsupervised Cardinality Estimation

Are We Ready For Learned Cardinality Estimation?

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

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

PRICE: A Pretrained Model for Cross-Database Cardinality Estimation


The project for speech translation

CTC-based Non-autoregressive Speech Translation

Bridging the Granularity Gap for Acoustic Modeling


Active Stereo Without Pattern Projector

Active-Passive SimStereo -- Benchmarking the Cross-Generalization Capabilities of Deep Learning-based Stereo Methods


Deep Learning for Domain Name System

DNS Tunneling Queries for Binary Classification

UMUDGA - University of Murcia Domain Generation Algorithm Dataset

DGA domain detection and botnet prevention using Q-learning for POMDP


A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)

Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark

Large-Scale Wasserstein Gradient Flows

Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization

Entropic Neural Optimal Transport via Diffusion Processes

Wasserstein Iterative Networks for Barycenter Estimation

Neural Optimal Transport with General Cost Functionals

Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?

Optimal Flow Matching: Learning Straight Trajectories in Just One Step


A deep learning model to predict anticancer peptides.

ACP-DL: A Deep Learning Long Short-Term Memory Model to Predict Anticancer Peptides Using High-Efficiency Feature Representation

ACP-DA: Improving the Prediction of Anticancer Peptides Using Data Augmentation

ACP-ADA: A Boosting Method with Data Augmentation for Improved Prediction of Anticancer Peptides

ACP-BC: A Model for Accurate Identification of Anticancer Peptides Based on Fusion Features of Bidirectional Long Short-Term Memory and Chemically Derived Information

An Augmented Sample Selection Framework for Prediction of Anticancer Peptides


A PyTorch implementation of the method found in "Adversarially Robust Few-Shot Learning: A Meta-Learning Approach"

Prototypical Networks for Few-shot Learning

Meta-Learning with Differentiable Convex Optimization

Meta-learning with differentiable closed-form solvers

Robust Few-Shot Learning with Adversarially Queried Meta-Learners


Dataset and Code for MIPI2022 Challenge

MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results

MIPI 2022 Challenge on Quad-Bayer Re-mosaic: Dataset and Report

MIPI 2022 Challenge on RGB+ToF Depth Completion: Dataset and Report

MIPI 2022 Challenge on RGBW Sensor Re-mosaic: Dataset and Report

MIPI 2022 Challenge on RGBW Sensor Fusion: Dataset and Report


Documentation effort for the BookCorpus dataset

On the Dangers of Stochastic Parrots

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

Datasheets for Datasets

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

Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpus


Simple codes and lines to process 3C/Hi-C data

A low Smc flux avoids collisions and facilitates chromosome organization in Bacillus subtilis

A joint-ParB interface promotes Smc DNA recruitment

Fine-tuning of the Smc flux facilitates chromosome organization in B. subtilis

Single-nucleotide resolution detection of Topo IV cleavage activity in the Escherichia coli genome with Topo-Seq


Python implementation of projection losses.

SparseMAP: Differentiable Sparse Structured Inference

Learning with Fenchel-Young Losses

Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms

Structured Prediction with Projection Oracles


Revealing neural correlates of behavior without behavioral measurements

Neural mechanisms of context-dependent segmentation tested on large-scale recording data


Scripts for our papers. Readers can check, replicate or make use of the scripts in their future studies.

Reduced default mode network functional connectivity in patients with recurrent major depressive disorder

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

Disrupted intrinsic functional brain topology in patients with major depressive disorder

Reduced functional connectivity of default mode network subsystems in depression: Meta-analytic evidence and relationship with trait rumination

Eight-week antidepressant treatment reduces functional connectivity in first-episode drug-naive patients with major depressive disorder

Demonstrating quality control procedures for fMRI in DPABI


Data and code for FreshLLMs (https://arxiv.org/abs/2310.03214)

FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

CtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control


Datasets of X-Ray imaging for detection of COVID-19

COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images

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

COVID-19 Diagnosis from Medical Images Using Transfer Learning

Saudi Journal of Health Systems Research

WMR-DepthwiseNet: A Wavelet Multi-Resolution Depthwise Separable Convolutional Neural Network for COVID-19 Diagnosis

CoVScreen: Pitfalls and recommendations for screening COVID-19 using Chest X-rays


A simple MATLAB regression toolbox

Machine Learning Regression Approaches for Colored Dissolved Organic Matter (CDOM) Retrieval with S2-MSI and S3-OLCI Simulated Data

Retrieval of High Spatiotemporal Resolution Leaf Area Index with Gaussian Processes, Wireless Sensor Network, and Satellite Data Fusion

Retrieval of Case 2 Water Quality Parameters with Machine Learning


A convolutional neural network for tuberculosis diagnosis from frontal chest X-Rays

Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization

AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation

Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays using
  Self-Supervised Learning


Contact Tracing BLE sniffer PoC

Demystifying COVID-19 digital contact tracing: A survey on frameworks and mobile apps

DESIRE: Leveraging the Best of Centralized and Decentralized Contact Tracing Systems

BeeTrace: A Unified Platform for Secure Contact Tracing that Breaks Data Silos


This repository contains the code for Instance Credibility Inference (ICI).

Iterative label cleaning for transductive and semi-supervised few-shot learning

How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning

Realistic Evaluation of Transductive Few-Shot Learning


HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Reconfigurable Computing

Symposium on Field Programmable Gate Arrays

SODA: Stencil with Optimized Dataflow Architecture

International Conference on Computer Aided Design

HeteroHalide: From Image Processing DSL to Efficient FPGA Acceleration

FLASH: Fast, Parallel, and Accurate Simulator for HLS

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Rapid Cycle-Accurate Simulator for High-Level Synthesis


The SentiWordNet sentiment lexicon

Semantic Features for Optimizing Supervised Approach of Sentiment Analysis on Product Reviews

CyberWallE at SemEval-2020 Task 11: An Analysis of Feature Engineering for Ensemble Models for Propaganda Detection

A Systematic Review of Aspect-based Sentiment Analysis (ABSA): Domains, Methods, and Trends

Enhancing Embedding-Based Chinese Word Similarity Evaluation with Concepts and Synonyms Knowledge

Computer Modeling in Engineering & Sciences

Computational Sarcasm Analysis on Social Media: A Systematic Review

An integrated fuzzy neural network with topic-aware auto-encoding for sentiment analysis

Soft Computing - A Fusion of Foundations, Methodologies and Applications

Practical Approach on Implementation of WordNets for South African Languages

An Improved Method for Extractive Based Opinion Summarization Using Opinion Mining

Computer systems science and engineering

Sentiment-enhanced Graph-based Sarcasm Explanation in Dialogue

TopFuzz4SA: An Integrated Fuzzy Neural Network with Topic-aware Auto-encoding for Sentiment Analysis


GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio

GigaST: A 10,000-hour Pseudo Speech Translation Corpus

The Xiaomi AI Lab’s Speech Translation Systems for IWSLT 2023 Offline Task, Simultaneous Task and Speech-to-Speech Task

Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)

The MineTrans Systems for IWSLT 2023 Offline Speech Translation and Speech-to-Speech Translation Tasks


Algorithms for curriculum learning. The code of the "Mastering Rate based Curriculum Learning" paper.

Teacher-Student Curriculum Learning

Analyzing the Nuances of Transformers' Polynomial Simplification Abilities


Non-Autoregressive Predictive Coding

Generative Pre-Training for Speech with Autoregressive Predictive Coding

Vector-Quantized Autoregressive Predictive Coding

Non-Autoregressive Predictive Coding for Learning Speech Representations from Local Dependencies

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


SHMnet: Condition Assessment of Bolted Connection with Beyond Human-level Performance

SHMnet: Condition assessment of bolted connection with beyond human-level performance

A Deep Transfer Learning Network for Structural Condition Identification with Limited Real-World Training Data

Deep Learning Algorithms for Structural Condition Identification with Limited Monitoring Data

International Conference on Smart Infrastructure and Construction 2019 (ICSIC)


This repository contains the entire pipline (including data preprocessing, training, testing, evaluation and visualization) for the Shearlet-based Semantic Edge Detection, .

CASENet: Deep Category-Aware Semantic Edge Detection

Semantic Edge Detection with Diverse Deep Supervision

Extraction of digital wavefront sets using applied harmonic analysis and deep neural networks

Shearlets as feature extractor for semantic edge detection: the model-based and data-driven realm

Proceedings. Mathematical, physical, and engineering sciences


The Payne: Self-consistent ab initio Fitting of Stellar Spectra

Non-LTE chemical abundances in Galactic open and globular clusters

MINESweeper: Spectrophotometric Modeling of Stars in the Gaia Era

TYC 2990-127-1: An Algol-type SB2 binary system of subgiant and red giant with a probable ongoing mass-transfer

Monthly Notices of the Royal Astronomical Society


This repository includes the code to reproduce our paper Partially-Connected Differentiable Architecture Search for Deepfake and Spoofing Detection" (https://arxiv.org/abs/2104.03123) to appear in INTERSPEECH '21

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

Audio Anti-Spoofing Detection: A Survey


Red-C data processing

Studying RNA–DNA interactome by Red-C identifies noncoding RNAs associated with repressed chromatin compartment and reveals transcription dynamics

Approaches for Modes of Action Study of Long Non-Coding RNAs: From Single Verification to Genome-Wide Determination

International journal of molecular sciences

RNA-DNA interactomes of three prokaryotes uncovered by proximity ligation


Awesome resources for artificial intelligence in cardiology

Cardiovascular Event Prediction by Machine Learning: The Multi-Ethnic Study of Atherosclerosis.

Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing

Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals

Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances

Deep Learning for Diagnosis of Chronic Myocardial Infarction on Nonenhanced Cardiac Cine MRI

Real‐time cardiovascular MR with spatio‐temporal artifact suppression using deep learning–proof of concept in congenital heart disease

Machine Learning Approaches in Cardiovascular Imaging

Machine Learning Prediction of Response to Cardiac Resynchronization Therapy

Circulation. Arrhythmia and electrophysiology

A convolutional neural network for ECG annotation as the basis for classification of cardiac rhythms

Combining deep neural networks and engineered features for cardiac arrhythmia detection from ECG recordings


Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Nonparametric Correlation (Bivariate)

Sequential estimation of Spearman rank correlation using Hermite series estimators

Sequential quantiles via Hermite series density estimation

On the properties of hermite series based distribution function estimators


Analytic calibration for differential privacy with Gaussian perturbations

Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising

A Differentially Private Kernel Two-Sample Test

Less is More: Revisiting the Gaussian Mechanism for Differential Privacy


A Julia package for training and evaluating multimodal deep Boltzmann machines

Partitioned learning of deep Boltzmann machines for SNP data

Deep generative models in DataSHIELD

Unsupervised deep learning on biomedical data with BoltzmannMachines.jl


ACM Multimedia - Opensmile: the munich versatile and fast open-source audio feature extractor

SUPERB: Speech processing Universal PERformance Benchmark

User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition in Federated Learning

Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings


ICLR 2024 | Fully Hyperbolic Convolutional Neural Networks for Computer Vision | Official Implementation

Improved Regularization of Convolutional Neural Networks with Cutout

Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers


RMI's steel emissions accounting and data exchange guidance


Official repository for Self-Attention Message Passing for Contrastive Few-Shot Learning

Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning

Self-Supervised Prototypical Transfer Learning for Few-Shot Classification


Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).

Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark

Light Schrödinger Bridge


The implementation of our paper Fed-TDA

Generative Models for Effective ML on Private, Decentralized Datasets

FedMix: Approximation of Mixup under Mean Augmented Federated Learning

Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data

Fed-TDA: Federated Tabular Data Augmentation on Non-IID Data


Official implementation of Generative Cellular Automata: ICLR 2021, 2022 (spotlight)

LION: Latent Point Diffusion Models for 3D Shape Generation

Probabilistic Implicit Scene Completion


Code for the paper 'Personalization in Goal-oriented Dialog' (NeurIPS 2017 Conversational AI Workshop)

Learning End-to-End Goal-Oriented Dialog

Personalization in Goal-Oriented Dialog

Coffee With a Hint of Data: Towards Using Data-Driven Approaches in Personalised Long-Term Interactions

A Survey of Personality, Persona, and Profile in Conversational Agents and Chatbots


PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance

Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent

Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates

Analyzing Federated Learning through an Adversarial Lens

MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients


Code for our WWW'2020 paper "Efficient Neural Interaction Function Search for Collaborative Filtering"

Taking Human out of Learning Applications: A Survey on Automated Machine Learning

Efficient Neural Architecture Search via Proximal Iterations


Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image corruptions"

Improving robustness against common corruptions by covariate shift adaptation

Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations


Nice and tidy implementation of resnet-type networks for classification in tensorflow 2.0

When the Curious Abandon Honesty: Federated Learning Is Not Private

Disentangling deep neural networks with rectified linear units using duality

Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks


Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"

Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization

Expected Coordinate Improvement for High-Dimensional Bayesian
  Optimization

High-dimensional Bayesian Optimization via Covariance Matrix Adaptation
  Strategy


Python Code for Quantitative Finance Papers

A Black-Scholes user's guide to the Bachelier model

Hyperbolic normal stochastic volatility model

The equivalent constant-elasticity-of-variance (CEV) volatility of the stochastic-alpha-beta-rho (SABR) model

A note on the option price and 'Mass at zero in the uncorrelated SABR model and implied volatility asymptotics'

Tighter 'uniform bounds for Black-Scholes implied volatility' and the applications to root-finding


GTNet:Guided Transformer Network for Detecting Human-Object Interactions

VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions

HOI Analysis: Integrating and Decomposing Human-Object Interaction

ConsNet: Learning Consistency Graph for Zero-Shot Human-Object Interaction Detection

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

Gtnet: guided transformer network for detecting human-object interactions


Train a StyleGAN2 model on Colaboratory to generate Steam banners.

GANSpace: Discovering Interpretable GAN Controls

Closed-Form Factorization of Latent Semantics in GANs

Unsupervised Discovery of Interpretable Directions in the GAN Latent Space


PiDRAM is the first flexible end-to-end framework that enables system integration studies and evaluation of real Processing-using-Memory techniques. Prototype on a RISC-V rocket chip system implemented on an FPGA. Described in our paper: https://arxiv.org/abs/2111.00082

PiDRAM: A Holistic End-to-end FPGA-based Framework for Processing-in-DRAM

PULSAR: Simultaneous Many-Row Activation for Reliable and High-Performance Computing in Off-the-Shelf DRAM Chips

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

Improving DRAM Performance, Reliability, and Security by Rigorously Understanding Intrinsic DRAM Operation

PiDRAM: An FPGA-based Framework for End-to-end Evaluation of Processing-in-DRAM Techniques


Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".

Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL

Split Q Learning: Reinforcement Learning with Two-Stream Rewards

Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook


Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"

Graph Self-Supervised Learning: A Survey

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive

Reinforcement learning on graphs: A survey

State of the Art and Potentialities of Graph-level Learning


code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"

Adversarial Training for Aspect-Based Sentiment Analysis with BERT

Improving BERT Performance for Aspect-Based Sentiment Analysis

YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews


A Mathematica package for the numerical computation of quasinormal modes

Overdamped modes in Schwarzschild-de Sitter and a Mathematica package for the numerical computation of quasinormal modes

Strong cosmic censorship for a scalar field in a Born-Infeld–de Sitter black hole

Strong cosmic censorship for a scalar field in an Einstein-Maxwell-Gauss-Bonnet-de Sitter black hole

Scaling similarities and quasinormal modes of D0 black hole solutions

Strong cosmic censorship for a scalar field in a logarithmic-de Sitter black hole


MATLAB Hyperspectral Toolbox

Subspace-Based Preprocessing Module for Fast Hyperspectral Endmember Selection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

DLR HySU - A Benchmark Dataset for Spectral Unmixing

Quaternion Processing Techniques for Color Synthesized NDT Thermography

Unsupervised Identification of Targeted Spectra Applying Rank1-NMF and FCC Algorithms in Long-Wave Hyperspectral Infrared Imagery

Geometric- and Optimization-Based Registration Methods for Long-Wave Infrared Hyperspectral Images


12-class joint frequency-phase modulated SSVEP dataset for estimating online BCI performance

Inter- and Intra-subject Template-Based Multivariate Synchronization Index Using an Adaptive Threshold for SSVEP-Based BCIs

Cross-Subject Transfer Method Based on Domain Generalization for Facilitating Calibration of SSVEP-Based BCIs

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

Steady-State Visual Evoked Potential Classification Using Complex Valued Convolutional Neural Networks

FB-CCNN: A Filter Bank Complex Spectrum Convolutional Neural Network with Artificial Gradient Descent Optimization


Algorithms to recover input data from their gradient signal through a neural network

Inverting Gradients -- How easy is it to break privacy in federated learning?

Evaluating Gradient Inversion Attacks and Defenses in Federated Learning

Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges

PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage

Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray Data

Separation of Powers in Federated Learning (Poster Paper)

Proceedings of the First Workshop on Systems Challenges in Reliable and Secure Federated Learning

Dropout is NOT All You Need to Prevent Gradient Leakage

Theoretically Principled Federated Learning for Balancing Privacy and Utility

Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks

PA-iMFL: Communication-Efficient Privacy Amplification Method Against Data Reconstruction Attack in Improved Multilayer Federated Learning


Hexnet - The Hexagonal Image Processing Framework

Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks

Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework

International Conference on Machine Learning and Applications

Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Generation

International Conference on Information Photonics

Visual Acuity Prediction on Real-Life Patient Data Using a Machine Learning Based Multistage System


#66DaysOfData challenge in Financial Machine Learning and NLP

Sequence to Sequence Learning with Neural Networks

A Neural Algorithm of Artistic Style

Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks

Quasi-Recurrent Neural Networks


[Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration

The State of Sparsity in Deep Neural Networks

Rigging the Lottery: Making All Tickets Winners

Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training

PDP: Parameter-free Differentiable Pruning is All You Need

Unveiling the Power of Sparse Neural Networks for Feature Selection


Vietnamese stopwords

New Vietnamese Corpus for Machine Reading Comprehension of Health News Articles

A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts

Vietnamese Text Classification with TextRank and Jaccard Similarity Coefficient

Advances in Science, Technology and Engineering Systems Journal

Improving Sentiment Analysis By Emotion Lexicon Approach on Vietnamese Texts

Vietnamese Short Text Classification via Distributed Computation

International Journal of Advanced Computer Science and Applications


A collection of LUTs for ImageJ/Fiji

In vitro endoderm emergence and self-organisation in the absence of extraembryonic tissues and embryonic architecture

HSP90 Modulates T2R Bitter Taste Receptor Nitric Oxide Production and Innate Immune Responses in Human Airway Epithelial Cells and Macrophages

Rab10 regulates the sorting of internalised TrkB for retrograde axonal transport

A timer gene network is spatially regulated by the terminal system in the Drosophila embryo

Botulinum neurotoxin A modulates the axonal release of pathological tau in hippocampal neurons

Apolipoprotein A1 and high-density lipoprotein limit low-density lipoprotein transcytosis by binding SR-B1

Quantitative study of alpha-synuclein prion-like spreading in fully oriented reconstructed neural networks reveals non-synaptic dissemination of seeding aggregates


Code and model for the AI City Challenge (CVPR 2022) Track 3 Action Detection (Naturalistic Driving Action Recognition)

MViTv2: Improved Multiscale Vision Transformers for Classification and Detection

The 6th AI City Challenge

Stargazer: A Transformer-based Driver Action Detection System for Intelligent Transportation

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)


The implementation of <Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation> in PyTorch.

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking

Evaluating Factual Consistency of Texts with Semantic Role Labeling


Pytorch implementation of the ECCV 2020 paper: AtlantaNet: Inferring the 3D Indoor Layout from a Single 360 Image beyond the Manhattan World Assumption

HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features

State‐of‐the‐art in Automatic 3D Reconstruction of Structured Indoor Environments

AtlantaNet: Inferring the 3D Indoor Layout from a Single 360(∘) Image beyond the Manhattan World Assumption

3D Scene Geometry Estimation from 360° Imagery: A Survey

Automatic modeling of cluttered multi‐room floor plans from panoramic images


A haplotype analysis toolkit for natural variation study.

CandiHap: a haplotype analysis toolkit for natural variation study

CandiHap: a toolkit for haplotype analysis for sequence of samples and fast identification of candidate causal gene(s) in genome-wide association study

Validation of Genes Affecting Rice Grain Zinc Content Through Candidate Gene-Based Association Analysis


Estimate Permutation p-Values for Random Forest Importance Metrics

Root ethylene mediates rhizosphere microbial community reconstruction when chemically detecting cyanide produced by neighbouring plants

Allometry and Distribution of Nitrogen in Natural Plant Communities of the Tibetan Plateau

Making It Last: Storage Time and Temperature Have Differential Impacts on Metabolite Profiles of Airway Samples from Cystic Fibrosis Patients

Accumulation of di-2-ethylhexyl phthalate from polyvinyl chloride flooring into settled house dust and the effect on the bacterial community

Experimental Warming Has Not Affected the Changes in Soil Organic Carbon During the Growing Season in an Alpine Meadow Ecosystem on the Qinghai–Tibet Plateau


Code for paper : An Effective Data Augmentation for Person Re-identification. By providing this code, you can simply verify the validity of the method proposed in the paper.

Person Re-identification Method Based on Color Attack and Joint Defence

Eliminate Deviation with Deviation for Data Augmentation and a General Multi-modal Data Learning Method

A Person Re-identification Data Augmentation Method with Adversarial Defense Effect

Exploring Color Invariance through Image-Level Ensemble Learning


This repository contains PyTorch implementations of various random feature maps for dot product kernels.

The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings

Improved Random Features for Dot Product Kernels

Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel

Local Random Feature Approximations of the Gaussian Kernel


Measuring COVID-19's gendered impact on academic productivity using submission data from preprint servers

Gender Equity Considerations for Tenure and Promotion during COVID‐19

Canadian review of sociology = Revue canadienne de sociologie

Researchers working from home: Benefits and challenges

Impact of Covid-19 on research output by gender across countries

Lived experiences of women academics during the COVID-19 pandemic in Pakistan

Dimensões de sexo, gênero e raça na pesquisa sobre COVID-19

Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil

Amplification of Structural Inequalities: Research Sabbaticals During COVID-19

Academic Productivity of Equity-Deserving Physician Scholars During COVID-19: A Scoping Review

Academic medicine : journal of the Association of American Medical Colleges


LightningFSL: Pytorch-Lightning implementations of Few-Shot Learning models.

Rectifying the Shortcut Learning of Background for Few-Shot Learning

EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients

Boosting Few-Shot Classification with View-Learnable Contrastive Learning


Fisher forecasting code for Large Scale Structure surveys using Lagrangian Perturbation Theory.

Cosmology at high redshift -- a probe of fundamental physics

Snowmass2021 Cosmic Frontier White Paper: Cosmology and Fundamental Physics from the three-dimensional Large Scale Structure

Unveiling Dark Forces with Measurements of the Large Scale Structure of the Universe

Optical depth to reionization from perturbative 21 cm clustering

Journal of Cosmology and Astroparticle Physics

From 100 kpc to 10 Gpc: Dark Matter self-interactions before and after
  DESI

Improved modeling of the kinematic Sunyaev-Zel’dovich projected-fields signal and its cosmological dependence

Cosmology before noon with multiple galaxy populations


Reinforcement learning - Batched Impala - PyTorch - Mario Kart

Playing Atari with Deep Reinforcement Learning

Asynchronous Methods for Deep Reinforcement Learning

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

Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU


Papers of ComputerVision x Surgery

Surgical process modelling: a review

International Journal of Computer Assisted Radiology and Surgery

Exploiting the potential of unlabeled endoscopic video data with self-supervised learning

Objective Assessment of Surgical Technical Skill and Competency in the Operating Room

“Deep-Onto” network for surgical workflow and context recognition

International journal of computer assisted radiology and surgery

Real-Time Dense Stereo Reconstruction Using Convex Optimisation with a Cost-Volume for Image-Guided Robotic Surgery

Medical Image Computing and Computer-Assisted Intervention

Data-driven spatio-temporal RGBD feature encoding for action recognition in operating rooms

Surgical Tool Tracking and Pose Estimation in Retinal Microsurgery

Automatic phase prediction from low-level surgical activities

Automatic Operating Room Surgical Activity Recognition for Robot-Assisted Surgery

Deep Neural Networks Predict Remaining Surgery Duration from Cholecystectomy Videos


PyTorch Image Quality Assessement package

PyTorch Image Quality: Metrics for Image Quality Assessment

DDLP: Unsupervised Object-Centric Video Prediction with Deep Dynamic Latent Particles

iVideoGPT: Interactive VideoGPTs are Scalable World Models


Data and code for the ICLR 2023 paper "Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning".

RetICL: Sequential Retrieval of In-Context Examples with Reinforcement Learning

Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models

Knowledge Tagging System on Math Questions via LLMs with Flexible Demonstration Retriever