Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

Artificial intelligence in cancer imaging: Clinical challenges and applications

HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation

Deep Learning Based Brain Tumor Segmentation: A Survey

White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth

Deep Learning–Based Detection of Intracranial Aneurysms in 3D TOF-MRA

Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy

A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images


hanabi_learning_environment is a research platform for Hanabi experiments.

A survey and critique of multiagent deep reinforcement learning

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

Reinforcement Learning on Human Decision Models for Uniquely Collaborative AI Teammates


Xor Filters: Faster and Smaller Than Bloom and Cuckoo Filters

ACM Journal of Experimental Algorithmics

Location Privacy Preservation in Database-Driven Wireless Cognitive Networks Through Encrypted Probabilistic Data Structures

IEEE Transactions on Cognitive Communications and Networking

An Overview of Cryptographic Accumulators

International Conference on Information Systems Security and Privacy

Binary Fuse Filters: Fast and Smaller Than Xor Filters

Proof of Unlearning: Definitions and Instantiation

Adversarial Correctness and Privacy for Probabilistic Data Structures

bloomRF: On Performing Range-Queries in Bloom-Filters with Piecewise-Monotone Hash Functions and Prefix Hashing

Quotient hash tables

SAC '19: PROCEEDINGS OF THE 34TH ACM/SIGAPP SYMPOSIUM ON APPLIED COMPUTING


RM-synthesis, RM-clean and QU-fitting on polarised radio spectra

CHIME/FRB Discovery of Eight New Repeating Fast Radio Burst Sources

Nine New Repeating Fast Radio Burst Sources from CHIME/FRB

LOFAR Detection of 110-188 MHz Emission and Frequency-dependent Activity from FRB 20180916B

Rotation Measure Evolution of the Repeating Fast Radio Burst Source FRB 121102

Detection of Repeating FRB 180916.J0158+65 Down to Frequencies of 300 MHz

New constraints on the magnetization of the cosmic web using LOFAR Faraday rotation observations

Monthly Notices of the Royal Astronomical Society

Polarization properties of FRB 20201124A from detections with the Effelsberg 100-m radio telescope

Dissecting nonthermal emission in the complex multiple-merger galaxy cluster Abell 2744: Radio and X-ray analysis

A Large-scale Magneto-ionic Fluctuation in the Local Environment of Periodic Fast Radio Burst Source FRB 20180916B

Strong Excess Faraday Rotation on the Inside of the Sagittarius Spiral Arm


The Abstraction and Reasoning Corpus

On the Measure of Intelligence

Assessing GPT4-V on Structured Reasoning Tasks

ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning

Addressing the Abstraction and Reasoning Corpus via Procedural Example
  Generation

Tackling the Abstraction and Reasoning Corpus (ARC) with Object-centric Models and the MDL Principle

Enhancing Analogical Reasoning in the Abstraction and Reasoning Corpus via Model-Based RL


An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction

MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction

Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement

Structure-Aware Sparse-View X-ray 3D Reconstruction


PYthon For Homomorphic Encryption Libraries, perform encrypted computations such as sum, mult, scalar product or matrix multiplication in Python, with NumPy compatibility. Uses SEAL/PALISADE as backends, implemented using Cython.

A systematic review of homomorphic encryption and its contributions in healthcare industry

FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning

A Review of Homomorphic Encryption for Privacy-Preserving Biometrics

A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-Service

Reputation Systems for Supply Chains: The Challenge of Achieving Privacy Preservation

Reinforcement Learning on Encrypted Data

A Review on Searchable Encryption Functionality and the Evaluation of Homomorphic Encryption


Solver for wind farm simulations targeting exascale computational platforms

ExaWind: A multifidelity modeling and simulation environment for wind energy

ExaWind: Open‐source CFD for hybrid‐RANS/LES geometry‐resolved wind turbine simulations in atmospheric flows

Large-eddy simulations of idealized atmospheric boundary layers using Nalu-Wind

Data recovery in computational fluid dynamics through deep image priors


[CVPR '21] Official repository for Few-shot Image Generation via Cross-domain Correspondence

Few-shot Image Generation with Mixup-based Distance Learning

Smoothing the Generative Latent Space with Mixup-based Distance Learning


The official PyTorch implementation of L2CS-Net for gaze estimation and tracking

L2CS-Net: Fine-Grained Gaze Estimation in Unconstrained Environments

Towards mitigating uncann(eye)ness in face swaps via gaze-centric loss terms

Introducing Explicit Gaze Constraints to Face Swapping


AI Super - Resolution

Enhanced Deep Residual Networks for Single Image Super-Resolution

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

Accelerating the Super-Resolution Convolutional Neural Network

Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks


A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.

Scalable Learning of Intrusion Responses through Recursive Decomposition

Learning Security Strategies through Game Play and Optimal Stopping

Learning Near-Optimal Intrusion Responses Against Dynamic Attackers

Automated Security Response through Online Learning with Adaptive
  Conjectures

A System for Interactive Examination of Learned Security Policies

Conjectural Online Learning with First-order Beliefs in Asymmetric
  Information Stochastic Games

Intrusion Tolerance for Networked Systems through Two-Level Feedback
  Control

Optimal Defender Strategies for CAGE-2 using Causal Modeling and Tree Search


A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs, VLDB 2020

A benchmarking study of embedding-based entity alignment for knowledge graphs

A Comprehensive Survey on Automatic Knowledge Graph Construction

Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs

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

OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding

Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding

Knowing the No-match: Entity Alignment with Dangling Cases

Knowledge graph embedding methods for entity alignment: experimental review

ActiveEA: Active Learning for Neural Entity Alignment

A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment

Vision, Deduction and Alignment: An Empirical Study on Multi-modal Knowledge Graph Alignment


Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

GPT-GNN: Generative Pre-Training of Graph Neural Networks

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


Extended Isolation Forest for Anomaly Detection

Extended Isolation Forest

IEEE Transactions on Knowledge and Data Engineering

Random Partitioning Forest for Point-Wise and Collective Anomaly Detection—Application to Network Intrusion Detection

IEEE Transactions on Information Forensics and Security

Interpretable, Multidimensional, Multimodal Anomaly Detection with Negative Sampling for Detection of Device Failure

Revisiting randomized choices in isolation forests

Average Localised Proximity: A new data descriptor with good default one-class classification performance

Anomaly Detection Based on Isolation Mechanisms: A Survey


A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

Attention Is All You Need

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

Recurrent Neural Networks for Multivariate Time Series with Missing Values

Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

Are Transformers Effective for Time Series Forecasting?

FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting

A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

BRITS: Bidirectional Recurrent Imputation for Time Series

TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting


A Library for Field-aware Factorization Machines

Deep Session Interest Network for Click-Through Rate Prediction

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

Field-aware Factorization Machines in a Real-world Online Advertising System

Network On Network for Tabular Data Classification in Real-world Applications

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

Embedding in Recommender Systems: A Survey

AEFE: Automatic Embedded Feature Engineering for Categorical Features


The SpatialDecon library implements the SpatialDecon algorithm for mixed cell deconvolution in spatial gene expression datasets. (This algorithm also works in bulk expression profiling data.)

Advances in mixed cell deconvolution enable quantification of cell types in spatial transcriptomic data

Benchmarking and integration of methods for deconvoluting spatial transcriptomic data

Deep Learning in Single-Cell Analysis

Bexmarilimab-induced macrophage activation leads to treatment benefit in solid tumors: The phase I/II first-in-human MATINS trial

Pseudobudding: ruptured glands do not represent true tumor buds

Distinct spatial landscapes in clear-cell renal cell carcinoma as revealed by whole transcriptome analysis


Stellar Occultation Library

A dense ring of the trans-Neptunian object Quaoar outside its Roche limit

SORA: Stellar occultation reduction and analysis

Earth-based Stellar Occultation Predictions for Jupiter, Saturn, Uranus, Neptune, Titan, and Triton: 2023-2050


R-package for structural equation modeling based on GWAS summary data

Genomic structural equation modelling provides insights into the multivariate genetic architecture of complex traits

Social and non-social autism symptoms and trait domains are genetically dissociable

Zenodo (CERN European Organization for Nuclear Research)

Shared brain and genetic architectures between mental health and physical activity

Neurogenetic and multi-omic sources of overlap among sensation seeking, alcohol consumption, and alcohol use disorder

medRxiv : the preprint server for health sciences

Shared genetic influences on resting-state functional networks of the brain

Genetic Decomposition of the Heritable Component of Reported Childhood Maltreatment

Biological psychiatry global open science

Thirteen Independent Genetic Loci Associated with Preserved Processing Speed in a Study of Cognitive Resilience in 330,097 Individuals in the UK Biobank

A Common Genetic Factor Underlies Genetic Risk for Gynaecological and Reproductive Disorders and Is Correlated with Risk to Depression

Polygenic risk scores: effect estimation and model optimization

Chronic Overlapping Pain Conditions and Nociplastic Pain


Open Source EMEP/MSC-W model

Effects of ship emissions on air quality in the Baltic Sea region simulated with three different chemistry transport models

Ensemble forecasts of air quality in eastern China – Part 1: Model description and implementation of the MarcoPolo–Panda prediction system, version 1

Non-linear response of PM2.5 to changes in NOx and NH3 emissions in the Po basin (Italy): consequences for air quality plans

HAL (Le Centre pour la Communication Scientifique Directe)

Modelling public health improvements as a result of air pollution control policies in the UK over four decades—1970 to 2010

Effects of strengthening the Baltic Sea ECA regulations

Shipping emissions in the Iberian Peninsula and the impacts on air quality

Advanced methods for uncertainty assessment and global sensitivity analysis of an Eulerian atmospheric chemistry transport model

Why is the city's responsibility for its air pollution often underestimated? A focus on PM2:5

Supplementary material to "Model evaluation of short-lived climate forcers for the Arctic Monitoring and Assessment Programme: a multi-species, multi-model study"

Downscaling of air pollutants in Europe using uEMEP_v6


Python toolkit for GEOS-Chem.  Contains basic plotting scripts, plus the suite of GEOS-Chem benchmarking utilities.


Creative Commons Attribution Share Alike 4.0 International

Open intercharge Protocol

Mobility in the Smart Grid: Roaming Protocols for EV Charging

An Overview of EV Roaming Protocols

Enabling EV Roaming Through Cascading WebSockets in OCPP 1.6

Journal Européen des Systèmes Automatisés


Contextually-keyed word vectors

sense2vec - A Fast and Accurate Method for Word Sense Disambiguation In Neural Word Embeddings

Automated Refugee Case Analysis: A NLP Pipeline for Supporting Legal Practitioners

Language Modelling Approaches to Adaptive Machine Translation


Just another Hearthstone Simulator in C# .Net Core, with some A.I. approaches!

Mapping Hearthstone Deck Spaces through MAP-Elites with Sliding Boundaries

Improving Hearthstone AI by Combining MCTS and Supervised Learning Algorithms

Evolving the Hearthstone Meta

The Many AI Challenges of Hearthstone


Benchmarking Deep Learning operations on different hardware

Mixed Precision Training

MLPerf Inference Benchmark

Benchmarking TPU, GPU, and CPU Platforms for Deep Learning

Sparse GPU Kernels for Deep Learning

PREMA: A Predictive Multi-task Scheduling Algorithm For Preemptible Neural Processing Units

Deep Learning at 15PF: Supervised and Semi-Supervised Classification for Scientific Data

CoSA: Scheduling by Constrained Optimization for Spatial Accelerators

TBD: Benchmarking and Analyzing Deep Neural Network Training

Beyond Human-Level Accuracy: Computational Challenges in Deep Learning

Beyond the Memory Wall: A Case for Memory-centric HPC System for Deep Learning


MATLAB application for fNIRS data processing and visualization

Improved physiological noise regression in fNIRS: A multimodal extension of the General Linear Model using temporally embedded Canonical Correlation Analysis

A Methodological Review of fNIRS in Driving Research: Relevance to the Future of Autonomous Vehicles

Human-in-the-Loop Optimization of Transcranial Electrical Stimulation at the Point of Care: A Computational Perspective

Directed information flow during laparoscopic surgical skill acquisition dissociated skill level and medical simulation technology

Use-Dependent Prosthesis Training Strengthens Contralateral Hemodynamic Brain Responses in a Young Adult With Upper Limb Reduction Deficiency: A Case Report

Brain-behavior analysis of transcranial direct current stimulation effects on a complex surgical motor task


On the Variance of the Adaptive Learning Rate and Beyond

SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization

Meeting of the Association for Computational Linguistics

Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding

Adversarial Training for Large Neural Language Models

Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach

An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining

Stance Detection Benchmark: How Robust Is Your Stance Detection?

The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding

Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization


Light-weight, simple and fast XML parser for C++ with XPath support

PhysiCell: An open source physics-based cell simulator for 3-D multicellular systems

Phoebe: a high-performance framework for solving phonon and electron Boltzmann transport equations

Phoebe: a collection of Phonon and Electron Boltzmann Equation solvers

When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition


Switch to the sigmaexporter-plugin branch (https://github.com/oxfordinternetinstitute/gephi-plugins/tree/sigmaexporter-plugin/modules/sigmaExporter) or jsonexporter-plugin branch (https://github.com/oxfordinternetinstitute/gephi-plugins/tree/jsonexporter-plugin/modules/JsonExporter) for the relevant code.

Parsimonious Gene Correlation Network Analysis (PGCNA): a tool to define modular gene co-expression for refined molecular stratification in cancer

FoxP2 isoforms delineate spatiotemporal transcriptional networks for vocal learning in the zebra finch

Growth Factor–like Gene Regulation Is Separable from Survival and Maturation in Antibody-Secreting Cells

Mapping the Bentham Corpus: Concept-based Navigation

Journal of Data Mining and Digital Humanities

Defining common principles of gene co-expression refines molecular stratification in cancer


Vision Transformer (ViT) in PyTorch

Attention Is All You Need

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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

Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

ADBench: Anomaly Detection Benchmark

What do Vision Transformers Learn? A Visual Exploration

Overinterpretation reveals image classification model pathologies

Efficient neural codes naturally emerge through gradient descent learning

Hybrid Transformer Network for Deepfake Detection

Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations


Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)

Better Exploration with Optimistic Actor-Critic

Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate

A Policy Gradient Method for Task-Agnostic Exploration

OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments

Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction


SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network

Analysis and Visualization of Spatial Transcriptomic Data

Deep Learning in Single-Cell Analysis

A comprehensive overview of graph neural network-based approaches to clustering for spatial transcriptomics

Computational and structural biotechnology journal

Spatially contrastive variational autoencoder for deciphering tissue heterogeneity from spatially resolved transcriptomics


[ECCV 2020] In-Domain GAN Inversion for Real Image Editing (PyTorch code)

SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

GAN Inversion for Out-of-Range Images with Geometric Transformations

EdiBERT, a generative model for image editing

Auditing AI models for Verified Deployment under Semantic Specifications


Official repository for LongChat and LongEval

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

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

Training-Free Long-Context Scaling of Large Language Models

SubGen: Token Generation in Sublinear Time and Memory


Code for AAAI2020 paper "Fast Learning of Temporal Action Proposal via Dense Boundary Generator"

BSN: Boundary Sensitive Network for Temporal Action Proposal Generation

BMN: Boundary-Matching Network for Temporal Action Proposal Generation


qcat is a Python command-line tool for demultiplexing Oxford Nanopore reads from FASTQ files.

COVID-19 in health-care workers in three hospitals in the south of the Netherlands: a cross-sectional study

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

Cartography of opportunistic pathogens and antibiotic resistance genes in a tertiary hospital environment

Computational methods for 16S metabarcoding studies using Nanopore sequencing data

Genomic monitoring of SARS-CoV-2 uncovers an Nsp1 deletion variant that modulates type I interferon response

Genetic Biomonitoring and Biodiversity Assessment Using Portable Sequencing Technologies: Current Uses and Future Directions

Ultra-fast deep-learned CNS tumour classification during surgery

High-resolution silkworm pan-genome provides genetic insights into artificial selection and ecological adaptation

Revealing fine-scale spatiotemporal differences in SARS-CoV-2 introduction and spread

MinION-Based DNA Barcoding of Preserved and Non-Invasively Collected Wildlife Samples


Torch-7 for Android

AI Benchmark: Running Deep Neural Networks on Android Smartphones

CNNdroid: GPU-Accelerated Execution of Trained Deep Convolutional Neural Networks on Android

DEEProtect: Enabling Inference-based Access Control on Mobile Sensing Applications

An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms


The CMS is a multiscale stochastic Lagrangian framework developed by Paris' Lab at the Rosenstiel School of Marine, Atmospheric & Earth Science to study complex behaviors, giving probabilistic estimates of dispersion, connectivity, fate of pollutants, and other Lagrangian phenomena. This repository facilitates community contributions to CMS modules

El Niño and coral larval dispersal across the eastern Pacific marine barrier

Comparing Deep-Sea Larval Dispersal Models: A Cautionary Tale for Ecology and Conservation

Trajectories and metadata for Bach et al.: 'Holistic re-evaluation of Southern Ocean Iron Fertilization for atmospheric CO2 removal'


Gpu Accelerated Library for Analysing Radio Interferometer Observations

GALARIO: a GPU accelerated library for analysing radio interferometer observations

High-resolution Millimeter Imaging of the CI Tau Protoplanetary Disk: A Massive Ensemble of Protoplanets from 0.1 to 100 au

Multiwavelength continuum sizes of protoplanetary discs: scaling relations and implications for grain growth and radial drift

Monthly notices of the Royal Astronomical Society

Synthetic observations of star formation and the interstellar medium

The VLA/ALMA Nascent Disk and Multiplicity (VANDAM) Survey of Orion Protostars. IV. Unveiling the Embedded Intermediate-Mass Protostar and Disk within OMC2-FIR3/HOPS-370


Genetic Programming in Python, with a scikit-learn inspired API

KAN: Kolmogorov-Arnold Networks

Taylor Genetic Programming for Symbolic Regression

A Framework Based on Symbolic Regression Coupled with eXtended Physics-Informed Neural Networks for Gray-Box Learning of Equations of Motion from Data

STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison

AI-Aristotle: A physics-informed framework for systems biology gray-box identification

Analysing symbolic regression benchmarks under a meta-learning approach

Proceedings of the Genetic and Evolutionary Computation Conference Companion

EC-KitY: Evolutionary computation tool kit in Python with seamless machine learning integration

Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning

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

Probabilistic Lexicase Selection

Interpretable physics-based models compared with symbolic regression for hopping transport in organic field-effect transistors


A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

Decoupled Weight Decay Regularization

What do you learn from context? Probing for sentence structure in contextualized word representations

Efficient Adaptation of Pretrained Transformers for Abstractive Summarization

Learning Health-Bots from Training Data that was Automatically Created using Paraphrase Detection and Expert Knowledge

International Conference on Computational Linguistics

ActKnow: Active External Knowledge Infusion Learning for Question Answering in Low Data Regime


Automatic fingering generator for piano scores

Score Difficulty Analysis for Piano Performance Education based on Fingering

Optimizing piano practice with a utility-based scaffold

Combining piano performance dimensions for score difficulty classification

Piano Fingering with Reinforcement Learning

Passive Haptic Rehearsal for Accelerated Piano Skill Acquisition


Source code for the General Ocean Turbulence Model

Summer Oxygen Dynamics on a Southern Arabian Gulf Coral Reef

Drivers of phytoplankton responses to summer wind events in a stratified lake: A modeling study

Model-based data analysis of the effect of winter mixing on primary production in a lake under reoligotrophication


Codebase for "SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems"

Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization, Quantizations, Memory Optimizations, and More

Heterogeneous CPU+GPU Stochastic Gradient Descent Algorithms

Adaptive Optimization for Sparse Data on Heterogeneous GPUs


A fast and lightweight python-based CTC beam search decoder for speech recognition.

How Does Pre-Trained Wav2Vec 2.0 Perform on Domain-Shifted Asr? an Extensive Benchmark on Air Traffic Control Communications

Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages

ESB: A Benchmark For Multi-Domain End-to-End Speech Recognition

TorchAudio 2.1: Advancing Speech Recognition, Self-Supervised Learning, and Audio Processing Components for Pytorch

Exploring Capabilities of Monolingual Audio Transformers using Large Datasets in Automatic Speech Recognition of Czech

Zero-Shot Cross-lingual Aphasia Detection using Automatic Speech Recognition

Improving Automatic Speech Recognition for Non-Native English with Transfer Learning and Language Model Decoding

Transformer-Based Automatic Speech Recognition of Formal and Colloquial Czech in MALACH Project

Sample-Efficient Unsupervised Domain Adaptation of Speech Recognition Systems: A Case Study for Modern Greek

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Wav2Vec2.0 on the Edge: Performance Evaluation


A python library for Argo data beginners and experts


Modelling jetted Active Galactic Nuclei radiative processes with python

VHE gamma-ray detection of FSRQ QSO B1420+326 and modeling of its enhanced broadband state in 2020

agnpy: An open-source python package modelling the radiative processes of jetted active galactic nuclei

Precession-induced Variability in AGN Jets and OJ 287

Multiwavelength study of the gravitationally lensed blazar QSO B0218+357 between 2016 and 2020

Non-thermal radiation from dual jet interactions in supermassive black hole binaries


Facet calibration for LOFAR

A radio ridge connecting two galaxy clusters in a filament of the cosmic web

Gentle reenergization of electrons in merging galaxy clusters

LOFAR discovery of an ultra-steep radio halo and giant head–tail radio galaxy in Abell 1132

Monthly Notices of the Royal Astronomical Society

A LOFAR study of non-merging massive galaxy clusters

LOFAR discovery of a double radio halo system in Abell 1758 and radio/X-ray study of the cluster pair

LOFAR discoveryof radio emission in MACS J0717.5+3745

Radio observations of the merging galaxy cluster Abell 520

First evidence of diffuse ultra-steep-spectrum radio emission surrounding the cool core of a cluster

LOFAR observations of X-ray cavity systems

Investigation of the cosmic ray population and magnetic field strength in the halo of NGC 891


Flexible Bayesian Optimization in R

Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges

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

Mutation is all you need


Julia Library for Interatomic Potentials

Efficient implementation of atom-density representations

NQCDynamics.jl: A Julia package for nonadiabatic quantum classical molecular dynamics in the condensed phase

A Theoretical Case Study of the Generalisation of Machine-learned Potentials

Convergence of the Discrete Minimum Energy Path

Surrogate Models for Vibrational Entropy Based on a Spatial
  Decomposition


Offshore Renewable Balance-of-system Installation Tool (ORBIT)


Fast & Simple Resource-Constrained Learning of Deep Network Structure

MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks

AutoML to Date and Beyond: Challenges and Opportunities

Computationally Efficient Neural Image Compression

Fine-Grained Stochastic Architecture Search


Advanced crypto library for the Go language

Atom: Horizontally Scaling Strong Anonymity

Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets

State-Machine Replication Scalability Made Simple (Extended Version)

A Voting-Based Blockchain Interoperability Oracle

PriFi: Low-Latency Anonymity for Organizational Networks

Reducing Metadata Leakage from Encrypted Files and Communication with PURBs

Anonymity Preserving Byzantine Vector Consensus

A Simple and Efficient Asynchronous Randomized Binary Byzantine Consensus Algorithm

Experimental Evaluation of Asynchronous Binary Byzantine Consensus Algorithms with t < n/3 and O(n^2) Messages and O(1) Round Expected Termination

chainBoost: A Secure Performance Booster for Blockchain-based Resource
  Markets


BART: Toolbox for Computational Magnetic Resonance Imaging

Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering

SURE-based Automatic Parameter Selection For ESPIRiT Calibration

Deep, Deep Learning with BART

Self‐supervised learning for improved calibrationless radial MRI with NLINV‐Net


Scala 2 compiler and standard library. Scala 2 bugs at https://github.com/scala/bug; Scala 3 at https://github.com/scala/scala3

We don't need another hero?

What is the Connection Between Issues, Bugs, and Enhancements?

Characterizing the influence of continuous integration: empirical results from 250+ open source and proprietary projects

Proceedings of the 4th ACM SIGSOFT International Workshop on Software Analytics

Eliminating abstraction overhead of Java stream pipelines using ahead-of-time program optimization

Proceedings of the ACM on Programming Languages


Evaluating progress in automatic chest X-ray radiology report generation

Progressive Transformer-Based Generation of Radiology Reports

Improving Chest X-Ray Report Generation by Leveraging Warm Starting

DeltaNet:Conditional Medical Report Generation for COVID-19 Diagnosis

Cross Encoder-Decoder Transformer with Global-Local Visual Extractor for Medical Image Captioning

Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation

Automatic Radiology Report Generation by Learning with Increasingly Hard Negatives

Radiology-Aware Model-Based Evaluation Metric for Report Generation


搜集、整理、发布 中文 自然语言处理 语料/数据集，与 有志之士 共同 促进 中文 自然语言处理 的 发展。

How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection

CLUE: A Chinese Language Understanding Evaluation Benchmark

Research on sentiment classification for netizens based on the BERT-BiLSTM-TextCNN model

FrugalML: How to Use ML Prediction APIs More Accurately and Cheaply

Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling

ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification

Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning

Did the Model Change? Efficiently Assessing Machine Learning API Shifts

Can Pre-trained Language Models Understand Chinese Humor?

Revealing Public Opinion towards the COVID-19 Vaccine with Weibo Data in China: BertFDA-Based Model

International journal of environmental research and public health


Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

Unsupervised Learning via Meta-Learning

Centroid-based deep metric learning for speaker recognition

Property-Aware Relation Networks for Few-Shot Molecular Property Prediction

Learning from Few Samples: A Survey

Rapid and flexible segmentation of electron microscopy data using few-shot machine learning

Design of a graphical user interface for few-shot machine learning classification of electron microscopy data

Are Few-shot Learning Benchmarks Too Simple ?

PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction

Tackling Early Sparse Gradients in Softmax Activation Using Leaky Squared Euclidean Distance


CLI tool to annotate genes with KOfam

Evidence for nontraditionalmcr-containing archaea contributing to biological methanogenesis in geothermal springs

Bacterial Necromass Is Rapidly Metabolized by Heterotrophic Bacteria and Supports Multiple Trophic Levels of the Groundwater Microbiome

Marine Microeukaryote Metatranscriptomics: Sample Processing and Bioinformatic Workflow Recommendations for Ecological Applications

Deep-Sea Sediments from the Southern Gulf of Mexico Harbor a Wide Diversity of PKS I Genes

Comparison of the Nutritional Properties and Transcriptome Profiling Between the Two Different Harvesting Periods of Auricularia polytricha


StyleGAN2 - Official TensorFlow Implementation

Analyzing and Improving the Image Quality of StyleGAN

Diffusion Models Beat GANs on Image Synthesis

Training Generative Adversarial Networks with Limited Data

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

Differentiable Augmentation for Data-Efficient GAN Training

What makes fake images detectable? Understanding properties that generalize

EditGAN: High-Precision Semantic Image Editing

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

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

Adversarial Generation of Continuous Images


FFT cross-correlation based synteny aligner, (re)designed to make full use of parallel computing

Genetic and Genomic Analyses Reveal Boundaries between Species Closely Related to Cryptococcus Pathogens

halSynteny: a fast, easy-to-use conserved synteny block construction method for multiple whole-genome alignments

Chromosome-level genome assembly of the Colorado potato beetle, Leptinotarsa decemlineata

Low Mutation Load in a Supergene Underpinning Alternative Male Mating Strategies in Ruff (Calidris pugnax)

Colicins and T6SS-based competition systems enhance enterotoxigenic E. coli (ETEC) competitiveness


Bioinformatics data analysis and visualization toolkit

High-throughput and high-efficiency sample preparation for single-cell proteomics using a nested nanowell chip

When explainable AI meets IoT applications for supervised learning

The use of novel electronic nose technology to locate missing persons for criminal investigations

Murine Bone Marrow Erythroid Cells Have Two Branches of Differentiation Defined by the Presence of CD45 and a Different Immune Transcriptome Than Fetal Liver Erythroid Cells

International journal of molecular sciences

Immunoregulatory properties of erythroid nucleated cells induced from CD34+ progenitors from bone marrow

Zenodo (CERN European Organization for Nuclear Research)

Knockouts of TNFRSF1A and TNFRSF1B Genes in K562 Cell Line Lead to Diverse Long-Lasting Responses to TNF-α


SC-Depth (V1, V2, and V3) for Unsupervised Monocular Depth Estimation  Webpage:https://jiawangbian.github.io/sc_depth_pl/

Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video

Unsupervised Scale-Consistent Depth Learning from Video

Auto-Rectify Network for Unsupervised Indoor Depth Estimation

SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic Scenes


Collection of functions and jupyter notebooks to partially automate running a capacity test following ASTM E2848.


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

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

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

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

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

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

A Globally Normalized Neural Model for Semantic Parsing


[NIPS2023] RRHF & Wombat

LLaMA: Open and Efficient Foundation Language Models

Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

RRHF: Rank Responses to Align Language Models with Human Feedback without tears

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

CITING: Large Language Models Create Curriculum for Instruction Tuning


From Louvain to Leiden: guaranteeing well-connected communities

Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs

PARC: ultrafast and accurate clustering of phenotypic data of millions of single cells

The immune landscape of human thymic epithelial tumors


CMU ARK Twitter Part-of-Speech Tagger

CrisisBench: Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing

Learning a POS tagger for AAVE-like language

North American Chapter of the Association for Computational Linguistics

Adapting taggers to Twitter with not-so-distant supervision

CSIRO Data61 at the WNUT Geo Shared Task

Standardizing and Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing

Leveraging Sparse and Dense Feature Combinations for Sentiment Classification


Global spatial predictions of soil properties and classes at 250 m resolution

CCAM: China Catchment Attributes and Meteorology dataset

The recency and geographical origins of the bat viruses ancestral to SARS-CoV and SARS-CoV-2

bioRxiv : the preprint server for biology


AcademiCodec: An Open Source Audio Codec Model for Academic Research

NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and
  Diffusion Models

HiFi-Codec: Group-residual Vector quantization for High Fidelity Audio Codec

InstructTTS: Modelling Expressive TTS in Discrete Latent Space With Natural Language Style Prompt

Fewer-token Neural Speech Codec with Time-invariant Codes

SemantiCodec: An Ultra Low Bitrate Semantic Audio Codec for General
  Sound

Single-Codec: Single-Codebook Speech Codec towards High-Performance Speech Generation

APCodec: A Neural Audio Codec with Parallel Amplitude and Phase Spectrum
  Encoding and Decoding

WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling

Efficient Parallel Audio Generation Using Group Masked Language Modeling

SimpleSpeech 2: Towards Simple and Efficient Text-to-Speech with
  Flow-based Scalar Latent Transformer Diffusion Models


Openllet is an OWL 2 reasoner in Java, build on top of Pellet.

A Wikidata-based tool for building and visualising narratives

International Journal on Digital Libraries

A Comparative Study of Rule-Based Inference Engines for the Semantic Web

IEICE Transactions on Information and Systems

Ontological representation, classification and data-driven computing of phenotypes

An Ontology for Modeling Cultural Heritage Knowledge in Urban Tourism

A Declarative Model for Web Accessibility Requirements and its Implementation

OntoRepliCov: an Ontology-Based Approach for Modeling the SARS-CoV-2 Replication Process

Popularity-Driven Ontology Ranking Using Qualitative Features

Efficient TBox Reasoning with Value Restrictions using the wer Reasoner

Theory and Practice of Logic Programming

Natural Language to SPARQL Query Builder for Semantic Web Applications

Journal of Machine Intelligence and Data Science

OWL Reasoners still useable in 2023


Powerful RDF Knowledge Graph Generation with RML Mappings

Morph-KGC: Scalable knowledge graph materialization with mapping partitions

Scaling Up Knowledge Graph Creation to Large and Heterogeneous Data Sources

Boosting Knowledge Graph Generation from Tabular Data with RML Views

Declarative generation of RDF-star graphs from heterogeneous data


A Ruby on Rails application for proteomics data analysis

Unipept 4.0: Functional Analysis of Metaproteome Data

Unipept: Tryptic Peptide-Based Biodiversity Analysis of Metaproteome Samples

The Unipept metaproteomics analysis pipeline

Unipept web services for metaproteomics analysis

High-throughput metaproteomics data analysis with Unipept: A tutorial.

The unique peptidome: Taxon-specific tryptic peptides as biomarkers for targeted metaproteomics


A GPT-empowered penetration testing tool

From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy

GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis

PentestGPT: An LLM-empowered Automatic Penetration Testing Tool

AutoAttacker: A Large Language Model Guided System to Implement
  Automatic Cyber-attacks

Large language models in 6G security: challenges and opportunities

Self-Deception: Reverse Penetrating the Semantic Firewall of Large Language Models

ExploitFlow, cyber security exploitation routes for Game Theory and AI research in robotics


Python wrapper for MFEM

Learning robust marking policies for adaptive mesh refinement

Dynamical low-rank approximation of the Vlasov-Poisson equation with piecewise linear spatial boundary

Constrained Local Approximate Ideal Restriction for Advection-Diffusion Problems

DynAMO: Multi-agent reinforcement learning for dynamic anticipatory mesh optimization with applications to hyperbolic conservation laws


Open weather data for humans.


Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit

Wespeaker: A Research and Production Oriented Speaker Embedding Learning Toolkit

High Fidelity Speech Enhancement with Band-split RNN

The SJTU X-LANCE Lab System for CNSRC 2022

Golden Gemini is All You Need: Finding the Sweet Spots for Speaker Verification

LMD: A Learnable Mask Network to Detect Adversarial Examples for Speaker Verification

SJTU-AISPEECH System for VoxCeleb Speaker Recognition Challenge 2022

What Do Self-Supervised Speech and Speaker Models Learn? New Findings from a Cross Model Layer-Wise Analysis

Autoregressive Diffusion Transformer for Text-to-Speech Synthesis

WeSep: A Scalable and Flexible Toolkit Towards Generalizable Target Speaker Extraction

PP-MeT: a Real-world Personalized Prompt based Meeting Transcription System


Sustainable transport planning with R

stplanr: A Package for Transport Planning

Cycling injury risk in Britain: A case-crossover study of infrastructural and route environment correlates


TFHE-rs: A Pure Rust implementation of the TFHE Scheme for Boolean and Integer Arithmetics Over Encrypted Data.

Fast polynomial arithmetic in homomorphic encryption with cyclo-multiquadratic fields


Multi-purpose lens modeling software package

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

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

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

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

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

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

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

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

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

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

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


The ctypes-based simple ImageMagick binding for Python

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

ICDAR 2021 Competition on Scientific Table Image Recognition to LaTeX

Tables to LaTeX: structure and content extraction from scientific tables

International Journal on Document Analysis and Recognition (IJDAR)


Tool for drawing diagrams on a grid, combining grids of SVGs into a big SVG figure

Who witnesses The Witness? Finding witnesses in The Witness is hard and sometimes impossible

Yin-Yang Puzzles are NP-complete

Path Puzzles: Discrete Tomography with a Path Constraint is Hard

Recursed is not Recursive: A Jarring Result

Complexity of Solo Chess with Unlimited Moves


Official implementation of "Designing an Encoder for StyleGAN Image Manipulation"  (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766

SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

FlexIT: Towards Flexible Semantic Image Translation

FICE: Text-Conditioned Fashion Image Editing With Guided GAN Inversion

Feature-Style Encoder for Style-Based GAN Inversion

Learning Detailed Radiance Manifolds for High-Fidelity and 3D-Consistent Portrait Synthesis from Monocular Image

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

A Chinese Face Dataset with Dynamic Expressions and Diverse Ages Synthesized by Deep Learning


Tools to download and cleanup Common Crawl data

Unsupervised Cross-lingual Representation Learning at Scale

CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Text Embeddings by Weakly-Supervised Contrastive Pre-training

Neural Machine Translation: A Review of Methods, Resources, and Tools

On Learning Universal Representations Across Languages

mT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs

A Survey on Data Selection for Language Models

AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters

SMTCE: A Social Media Text Classification Evaluation Benchmark and BERTology Models for Vietnamese


This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.

Datamodels: Predicting Predictions from Training Data

Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation

A Unified Framework for Task-Driven Data Quality Management

Sample based Explanations via Generalized Representers


Tools for early stage alignment file processing

Alignment of 1000 Genomes Project reads to reference assembly GRCh38

Population-level distribution and putative immunogenicity of cancer neoepitopes

A genetic modifier of venous thrombosis in zebrafish reveals a functional role for fibrinogen AαE in early hemostasis

Mutational topography reflects clinical neuroblastoma heterogeneity


Synchrotron Radiation Workshop

WavePropaGator: interactive framework for X-ray free-electron laser optics design and simulations

Sirepo: an open-source cloud-based software interface for X-ray source and optics simulations

Modelling phase imperfections in compound refractive lenses

A fast and lightweight tool for partially coherent beamline simulations in fourth-generation storage rings based on coherent mode decomposition

Recent developments in X-ray lens modelling with SRW

Advances in Computational Methods for X-Ray Optics V

Propagation of partially coherent radiation using Wigner functions

A proposal for a user-friendly modular framework for the simulation of x-ray experiments


Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)

Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Benchmarking the Robustness of LiDAR Semantic Segmentation Models

Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation

Optimizing LiDAR Placements for Robust Driving Perception in Adverse
  Conditions

Calib3D: Calibrating Model Preferences for Reliable 3D Scene
  Understanding

Exploring Adversarial Robustness of LiDAR Semantic Segmentation in Autonomous Driving

An Empirical Study of Training State-of-the-Art LiDAR Segmentation
  Models


Age detection in Tensorflow

Age and Gender Classification using Convolutional Neural Networks

Decoupling "when to update" from "how to update"

Efficient facial representations for age, gender and identity recognition in organizing photo albums using multi-output ConvNet

Property Inference Attacks Against GANs

Implicit Diversity in Image Summarization


PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Dynamic Graph CNN for Learning on Point Clouds

PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds

Jet tagging via particle clouds

Micro-Batch Training with Batch-Channel Normalization and Weight Standardization

Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds

PointGuard: Provably Robust 3D Point Cloud Classification

UV-Net: Learning from Boundary Representations

Binary Graph Neural Networks

Occlusion Resistant Object Rotation Regression from Point Cloud Segments


[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

Projected GANs Converge Faster

Regularizing Generative Adversarial Networks under Limited Data

Instance-Conditioned GAN

Understanding Pure CLIP Guidance for Voxel Grid NeRF Models

FreGAN: Exploiting Frequency Components for Training GANs under Limited Data

Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression

Few-shot Image Generation with Mixup-based Distance Learning

Balanced Training for Sparse GANs

Model Selection for Bayesian Autoencoders


MRI brain extraction tool

Automated brain extraction of multisequence MRI using artificial neural networks

Accurate brain‐age models for routine clinical MRI examinations

Predicting brain-age from raw T 1 -weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks

Lesion-Function Analysis from Multimodal Imaging and Normative Brain Atlases for Prediction of Cognitive Deficits in Glioma Patients

Deep learning-based detection and quantification of brain metastases on black-blood imaging can provide treatment suggestions: a clinical cohort study

A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection

Limited capability of MRI radiomics to predict primary tumor histology of brain metastases in external validation


Publication-ready volcano plots with enhanced colouring and labeling

Aging-associated deficit in CCR7 is linked to worsened glymphatic function, cognition, neuroinflammation, and β-amyloid pathology

Ferroptotic stress promotes the accumulation of pro-inflammatory proximal tubular cells in maladaptive renal repair

A Genome-wide CRISPR Screen Reveals a Role for the Non-canonical Nucleosome-Remodeling BAF Complex in Foxp3 Expression and Regulatory T Cell Function

Glioma synapses recruit mechanisms of adaptive plasticity

Genes with 5′ terminal oligopyrimidine tracts preferentially escape global suppression of translation by the SARS-CoV-2 Nsp1 protein

DAMPs/PAMPs induce monocytic TLR activation and tolerance in COVID-19 patients; nucleic acid binding scavengers can counteract such TLR agonists

Diagnostic blood RNA profiles for human acute spinal cord injury

STAT 3  ‐dependent analysis reveals  PDK 4  as independent predictor of recurrence in prostate cancer

Fluconazole resistance in Candida albicans is induced by Pseudomonas aeruginosa quorum sensing

Evolutionary transcriptomics implicates HAND2 in the origins of implantation and regulation of gestation length


ATAC-seq and DNase-seq processing pipeline

Cell-type-specific 3D epigenomes in the developing human cortex

Unsupervised clustering and epigenetic classification of single cells

A compendium and comparative epigenomics analysis of cis-regulatory elements in the pig genome

Accurate prediction of cell type-specific transcription factor binding

TRPS1 shapes YAP/TEAD-dependent transcription in breast cancer cells

GimmeMotifs: an analysis framework for transcription factor motif analysis

Modulating Androgen Receptor-Driven Transcription in Prostate Cancer with Selective CDK9 Inhibitors.

An atlas of transcriptional, chromatin accessibility, and surface marker changes in human mesoderm development

Chromatin Accessibility Impacts Transcriptional Reprogramming in Oocytes

Dynamic reversal of random X-Chromosome inactivation during iPSC reprogramming


MSCCL++: A GPU-driven communication stack for scalable AI applications

Splitwise: Efficient generative LLM inference using phase splitting

FLUX: Fast Software-based Communication Overlap On GPUs Through Kernel Fusion

GPU-initiated Fine-grained Overlap of Collective Communication with Computation

NanoFlow: Towards Optimal Large Language Model Serving Throughput


Easily add significance brackets to your ggplots

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

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

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

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

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

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


PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.

CytoMAP: A Spatial Analysis Toolbox Reveals Features of Myeloid Cell Organization in Lymphoid Tissues

Groundwater fauna in an urban area – natural or affected?

Leveraging data-driven self-consistency for high-fidelity gene expression recovery

Patient health records and whole viral genomes from an early SARS-CoV-2 outbreak in a Quebec hospital reveal features associated with favorable outcomes

EVNet: An Explainable Deep Network for Dimension Reduction


Efficient target prediction incorporating accessibility of interaction sites

IntaRNA 2.0: enhanced and customizable prediction of RNA-RNA interactions

CopraRNA and IntaRNA: predicting small RNA targets, networks and interaction domains

SHAPE directed RNA folding

Integration of accessibility data from structure probing into RNA-RNA interaction prediction

Structure and Interaction Prediction in Prokaryotic RNA Biology

Regulating with RNA in Bacteria and Archaea

MiR-743a-5p regulates differentiation of myoblast by targeting Mob1b in skeletal muscle development and regeneration

sRNARFTarget: a fast machine-learning-based approach for transcriptome-wide sRNA target prediction

Interactive implementations of thermodynamics-based RNA structure and RNA–RNA interaction prediction approaches for example-driven teaching

IntaRNAhelix-composing RNA-RNA interactions from stable inter-molecular helices boosts bacterial sRNA target prediction.

Journal of bioinformatics and computational biology

Rocket-miR, a translational launchpad for miRNA-based antimicrobial drug development


Web Access Control (WAC)

A Critique of Immunity Passports and W3C Decentralized Identifiers

An Ecosystem for Personal Knowledge Graphs: A Survey and Research Roadmap

Towards Querying in Decentralized Environments with Privacy-Preserving Aggregation


Fast, flexible and fun neural networks.

Training Very Deep Networks

Recurrent Highway Networks

RETURNN: The RWTH Extensible Training framework for Universal Recurrent Neural Networks

Deep-Spying: Spying using Smartwatch and Deep Learning


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

Coresets for Data-efficient Training of Machine Learning Models

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

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

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

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

GRAD-MATCH: A Gradient Matching Based Data Subset Selection for Efficient Learning.

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

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


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

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

Coordinated inheritance of extrachromosomal DNA species in human cancer cells

Inference of Single-Cell Phylogenies from Lineage Tracing Data

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


R interface to many NOAA data APIs


RISC-V Configuration Validator


Lepton is a tool and file format for losslessly compressing JPEGs by an average of 22%.

Droplet: Decentralized Authorization and Access Control for Encrypted Data Streams

The Design, Implementation, and Deployment of a System to Transparently Compress Hundreds of Petabytes of Image Files for a File-Storage Service

Droplet: Decentralized Authorization for IoT Data Streams


a bert for retrieval and generation

ChatGPT-EDSS: Empathetic Dialogue Speech Synthesis Trained from ChatGPT-derived Context Word Embeddings

UniASM: Binary Code Similarity Detection without Fine-tuning

SpeechCraft: A Fine-grained Expressive Speech Dataset with Natural Language Description

MSMix: An Interpolation-Based Text Data Augmentation Method Manifold Swap Mixup

A Chinese Machine Reading Comprehension Dataset Automatic Generated Based on Knowledge Graph

The Short Text Matching Model Enhanced with Knowledge via Contrastive Learning


An implementation of Grad-CAM with keras

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

International Journal of Computer Vision

XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification

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

Obstructive sleep apnea event detection using explainable deep learning models for a portable monitor

AdjointBackMap: Reconstructing Effective Decision Hypersurfaces from CNN Layers Using Adjoint Operators


SCDC

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

Deconvolution of a Large Cohort of Placental Microarray Data Reveals Clinically Distinct Subtypes of Preeclampsia

Frontiers in bioengineering and biotechnology


Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

Adversarial Learning for Semi-Supervised Semantic Segmentation

No More Discrimination: Cross City Adaptation of Road Scene Segmenters

Domain Adaptation for Structured Output via Discriminative Patch Representations

Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images

Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density

Self-Ensembling GAN for Cross-Domain Semantic Segmentation

Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation

Rethinking Unsupervised Domain Adaptation for Semantic Segmentation


PEPPER-Margin-DeepVariant

Haplotype-aware variant calling with PEPPER-Margin-DeepVariant enables high accuracy in nanopore long-reads

Highly contiguous assemblies of 101 drosophilid genomes

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

De-novo Assembly of Limnospira fusiformis Using Ultra-Long Reads

Benchmarking small variant detection with ONT reveals high performance in challenging regions

Rapid transcriptomic and physiological changes in the freshwater pennate diatom Mayamaea pseudoterrestris in response to copper exposure.

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

Phased genomics reveals hidden somatic mutations and provides insight into fruit development in sweet orange


A New Padding Scheme: Partial Convolution based Padding

Image Inpainting for Irregular Holes Using Partial Convolutions

Partial Convolution based Padding

MisConv: Convolutional Neural Networks for Missing Data

A Benchmark for Inpainting of Clothing Images with Irregular Holes


Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

Evaluating Protein Transfer Learning with TAPE

BERTology Meets Biology: Interpreting Attention in Protein Language Models

ATOM3D: Tasks On Molecules in Three Dimensions

Evolutionary velocity with protein language models

Regression Transformer enables concurrent sequence regression and generation for molecular language modelling

Is Transfer Learning Necessary for Protein Landscape Prediction?

Structure Inducing Pre-Training

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

A Multimodal Protein Representation Framework for Quantifying Transferability Across Biochemical Downstream Tasks

DeepSecE: A Deep-Learning-Based Framework for Multiclass Prediction of Secreted Proteins in Gram-Negative Bacteria


Parallelformers: An Efficient Model Parallelization Toolkit for Deployment

AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing

Few-Shot Bot: Prompt-Based Learning for Dialogue Systems

Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge

Automated Extraction of Molecular Interactions and Pathway Knowledge using Large Language Model, Galactica: Opportunities and Challenges

Workshop on Biomedical Natural Language Processing


The official Pytorch implementation of OCNet, OCRNet, and SegFix.

OCNet: Object Context Network for Scene Parsing

Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation

SegFix: Model-Agnostic Boundary Refinement for Segmentation

Interlaced Sparse Self-Attention for Semantic Segmentation

An Instance Segmentation Based Framework for Large-Sized High-Resolution Remote Sensing Images Registration

AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with
  Foundation Models

Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis

SSSegmenation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch


[MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis

Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis

Models Genesis

Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning

SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiological Images

Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training

Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography

AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking

Transfer Learning for Segmentation Problems: Choose the Right Encoder and Skip the Decoder

Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI


TensorFlow implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

Image-to-Image Translation with Conditional Adversarial Networks

Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification

Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep Learning

Denoising Weak Lensing Mass Maps with Deep Learning

Nighttime Reflectance Generation in the Visible Band of Satellites

Deep Learning-Generated Nighttime Reflectance and Daytime Radiance of the Midwave Infrared Band of a Geostationary Satellite

This is not what I imagined: Error Detection for Semantic Segmentation through Visual Dissimilarity

Deep learning for intensity mapping observations: component extraction

Monthly Notices of the Royal Astronomical Society: Letters


Demos and tutorials around Torch7.

Regularizing CNNs with Locally Constrained Decorrelations

A Deep Convolutional Auto-Encoder with Pooling - Unpooling Layers in Caffe

Unbounded Bayesian Optimization via Regularization

Creation of a Deep Convolutional Auto-Encoder in Caffe


Installer for D-Wave's Ocean tools

Support vector machines on the D-Wave quantum annealer

Benchmarking Advantage and D-Wave 2000Q quantum annealers with exact cover problems

Unbalanced penalization: a new approach to encode inequality constraints of combinatorial problems for quantum optimization algorithms

Investigating the Chinese Postman Problem on a Quantum Annealer

Semi-supervised time series classification method for quantum computing

Vacancies in graphene: an application of adiabatic quantum optimization

Physical chemistry chemical physics : PCCP

MDE4QAI: Towards Model-Driven Engineering for Quantum Artificial Intelligence

QUBO.jl: A Julia Ecosystem for Quadratic Unconstrained Binary Optimization

Quantum support vector machines for aerodynamic classification

Accurate Computation of Relativistic Excitation Energies Using Quantum Annealing


The open-source tool for creating 3D models

Population Estimation Using a 3D City Model: A Multi-Scale Country-Wide Study in the Netherlands

CityJSON Building Generation from Airborne LiDAR 3D Point Clouds

ISPRS International Journal of Geo-Information

Reference study of IFC software support: The GeoBIM benchmark 2019—Part I

Estimating Building Age with 3D GIS

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences

Harmonising the OGC Standards for the Built Environment: A CityGML Extension for LandInfra

A Cost-Effective Method for Reconstructing City-Building 3D Models from Sparse Lidar Point Clouds

AN IMPROVED LOD FRAMEWORK FOR THE TERRAINS IN 3D CITY MODELS

An Efficient 2.5D Shadow Detection Algorithm for Urban Planning and Design Using a Tensor Based Approach

INTERACTIVE 3D CITY VISUALIZATION FROM STRUCTURE MOTION DATA USING GAME ENGINE

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


MQT Core - The Backbone of the Munich Quantum Toolkit

MQT QMAP: Efficient Quantum Circuit Mapping

Proceedings of the 2023 International Symposium on Physical Design

Efficient Construction of Functional Representations for Quantum Algorithms

Forward and Backward Constrained Bisimulations for Quantum Circuits

Stripping Quantum Decision Diagrams of their Identity


Code for GO4Align: Group Optimization for Multi-Task Alignment

Multi-Task Learning as a Bargaining Game

FAMO: Fast Adaptive Multitask Optimization


Official release of the DMControl Generalization Benchmark 2 (DMC-GB2)

Generalization in Reinforcement Learning by Soft Data Augmentation

The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels

A Recipe for Unbounded Data Augmentation in Visual Reinforcement
  Learning


NuwaTS: a Foundation Model Mending Every Incomplete Time Series

Transformers in Time Series: A Survey

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

Foundation Models for Time Series Analysis: A Tutorial and Survey

Position: What Can Large Language Models Tell Us about Time Series Analysis


Implementation of the segmentation task for ISIC 2017. https://arxiv.org/abs/1703.04819

RECOD Titans at ISIC Challenge 2017

Data, Depth, and Design: Learning Reliable Models for Skin Lesion Analysis

Data, Depth, and Design: Learning Reliable Models for Melanoma Screening

Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver standard Masks


The Eye of Horus: Spotting and Analyzing Attacks on Ethereum Smart Contracts

Compositional Security for Reentrant Applications


NOT MY CODE! Zeus trojan horse - leaked in 2011, I am not the author. This repository is for study purposes only, do not message me about your lame hacking attempts.

Deciphering Malware's use of TLS (without Decryption)

Two-Stage Intelligent Model for Detecting Malicious DDoS Behavior

Stealthy Malware Traffic - Not as Innocent as It Looks

International Conference on Malicious and Unwanted Software

Trusted Multi-Domain DDoS Detection Based on Federated Learning

Time-Window Group-Correlation Support vs. Individual Features: A Detection of Abnormal Users

Function Similarity Using Family Context


Invertible Residual Networks

Residual Flows for Invertible Generative Modeling

Invertible DenseNets with Concatenated LipSwish


3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Learning Versatile 3D Shape Generation with Improved AR Models

Pushing Auto-regressive Models for 3D Shape Generation at Capacity and
  Scalability


Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks

StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer

Sequence-to-Sequence Learning with Latent Neural Grammars


[NeurIPS 2024] Official Implementation for Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks

Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos

JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models

STEVE-1: A Generative Model for Text-to-Behavior in Minecraft


myPLS toolbox - PLS analysis for medical image processing

Brain functional connectivity alterations associated with neuropsychological performance 6–9 months following SARS‐CoV‐2 infection

Linking cerebellar functional gradients to transdiagnostic behavioral dimensions of psychopathology

Dysmaturation Observed as Altered Hippocampal Functional Connectivity at Rest Is Associated With the Emergence of Positive Psychotic Symptoms in Patients With 22q11 Deletion Syndrome

Markers of limbic system damage following SARS-CoV-2 infection

Associated functional network development and language abilities in children

Acute TNFα levels predict cognitive impairment 6–9 months after COVID-19 infection

Large-scale brain network dynamics in very preterm children and relationship with socio-emotional outcomes: an exploratory study

Identifying neurodevelopmental anomalies of white matter microstructure associated with high risk for psychosis in 22q11.2DS

Intra- and inter-hemispheric structural connectome in agenesis of the corpus callosum

Corpus callosum structural characteristics in very preterm children and adolescents: Developmental trajectory and relationship to cognitive functioning


A notebook containing implementations of different graph deep node embeddings along with benchmark graph neural network models in tensorflow. This has been taken from https://www.kaggle.com/abhilash1910/nlp-workshop-ml-india-deep-graph-learning to apply GNNs/node embeddings on NLP task.

LINE: Large-scale Information Network Embedding

Structural Deep Network Embedding

Graph Laplacian Regularized Graph Convolutional Networks for Semi-supervised Learning


RNA-seq workflow for Snakemake based on STAR and featureCounts.

Comparative oncogenomics identifies combinations of driver genes and drug targets in BRCA1-mutated breast cancer

Epithelial-to-Mesenchymal Transition Drives Invasiveness of Breast Cancer Brain Metastases

A living biobank of patient-derived ductal carcinoma in situ mouse-intraductal xenografts identifies risk factors for invasive progression


Immunology-related bioinformatics data and tools

Robust enumeration of cell subsets from tissue expression profiles

Inferring tumour purity and stromal and immune cell admixture from expression data

TIMER: A Web Server for Comprehensive Analysis of Tumor-Infiltrating Immune Cells

The Immune Landscape of Cancer

xCell: digitally portraying the tissue cellular heterogeneity landscape

Absolute quantification of somatic DNA alterations in human cancer

Single-Cell Immune Map of Breast Carcinoma Reveals Diverse Phenotypic States Driven by the Tumor Microenvironment

CellMarker: a manually curated resource of cell markers in human and mouse

Molecular and pharmacological modulators of the tumor immune contexture revealed by deconvolution of RNA-seq data

A single-cell atlas of mouse brain macrophages reveals unique transcriptional identities shaped by ontogeny and tissue environment


What Matters in Unsupervised Optical Flow

Polygonal Point Set Tracking

Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses


Official implementation of "Open-set Label Noise Can Improve Robustness Against Inherent Label Noise" (NeurIPS 2021)

Learning from Noisy Labels with Deep Neural Networks: A Survey

Combating noisy labels by agreement: A joint training method with co-regularization

Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets

GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation


TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses

Barlow Twins: Self-Supervised Learning via Redundancy Reduction

Injecting Domain Adaptation with Learning-to-hash for Effective and Efficient Zero-shot Dense Retrieval

TLDR: Twin Learning for Dimensionality Reduction


An opinionated must read papers on Distributed Systems

Large-scale cluster management at Google with Borg

Twitter Heron: Stream Processing at Scale

SIGMOD'15: PROCEEDINGS OF THE 2015 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Scaling symbolic evaluation for automated verification of systems code with Serval

Symposium on Operating Systems Principles

WormSpace: A Modular Foundation for Simple, Verifiable Distributed Systems

Enabling Lightweight Transactions with Precision Time

TWENTY-SECOND INTERNATIONAL CONFERENCE ON ARCHITECTURAL SUPPORT FOR PROGRAMMING LANGUAGES AND OPERATING SYSTEMS (ASPLOS XXII)


Deep Generalized Method of Moments for Instrumental Variable Analysis

Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition

Maximum Moment Restriction for Instrumental Variable Regression.

Instrumental variable regression via kernel maximum moment loss

Causal Gradient Boosting: Boosted Instrumental Variable Regression

Instrumental Variables in Causal Inference and Machine Learning: A Survey


seedr: Hydro and Thermal Time Seed Germination Models in R


This is the repository of EMNLP'2022 paper: "Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning".

Aligning Language Models with Human Preferences via a Bayesian Approach

COOPER: Coordinating Specialized Agents towards a Complex Dialogue Goal


PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

Frustum PointNets for 3D Object Detection from RGB-D Data


Leveraging Language Foundation Models for Human Mobility Forecasting

Empowering Time Series Analysis with Large Language Models: A Survey

Large Language Models for Mobility in Transportation Systems: A Survey
  on Forecasting Tasks


List of (automatic) protocol reverse engineering tools for network protocols

Inference and analysis of formal models of botnet command and control protocols

PROCEEDINGS OF THE 17TH ACM CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'10)

A Survey of Automatic Protocol Reverse Engineering Tools

Learning stateful models for network honeypots

State of the art of network protocol reverse engineering tools

Journal of Computer Virology and Hacking Techniques

ProWord: An unsupervised approach to protocol feature word extraction

International Conference on Computer Communications

Survey of Protocol Reverse Engineering Algorithms: Decomposition of Tools for Static Traffic Analysis

IEEE Communications Surveys and Tutorials

Bit-oriented format extraction approach for automatic binary protocol reverse engineering

A Survey of Automatic Protocol Reverse Engineering Approaches, Methods, and Tools on the Inputs and Outputs View

Research in Attacks, Intrusions, and Defenses

Protocol Specification Extraction Based on Contiguous Sequential Pattern Algorithm


One of the ancestors of River

Green AI

River: machine learning for streaming data in Python

Load Forecasting Under Concept Drift: Online Ensemble Learning With Recurrent Neural Network and ARIMA

Frouros: A Python library for drift detection in machine learning systems


Code of GAMLP for Open Graph Benchmark. KDD‘22

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

Graph Attention Multi-Layer Perceptron

SCR: Training Graph Neural Networks with Consistency Regularization


Implementation of Deep Level Sets paper

3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction

Learning a Predictable and Generative Vector Representation for Objects

Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers


Efficient Exploration via State Marginal Matching (2019)

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

Curiosity-driven Exploration by Self-supervised Prediction

Unifying Count-Based Exploration and Intrinsic Motivation

Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate

A Policy Gradient Method for Task-Agnostic Exploration


Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions

PVT v2: Improved baselines with Pyramid Vision Transformer

Twins: Revisiting the Design of Spatial Attention in Vision Transformers

Conditional Positional Encodings for Vision Transformers


Robust PCA implementation and examples (Matlab)

Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices

Change Detection in UWB SAR Images Based on Robust Principal Component Analysis

A Wavelength-Resolution SAR Change Detection Method Based on Image Stack through Robust Principal Component Analysis

Handling Slice Permutations Variability in Tensor Recovery

THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / THE TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE


[TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation

Representation Learning with Contrastive Predictive Coding

DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG

International Conference of the IEEE Engineering in Medicine and Biology Society

Self-Supervised Learning for Label- Efficient Sleep Stage Classification: A Comprehensive Evaluation


Constrained optimization competition

Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient

Helper and Equivalent Objectives: Efficient Approach for Constrained Optimization

Proceedings of the Genetic and Evolutionary Computation Conference Companion

Analyzing design principles for competitive evolution strategies in constrained search spaces


Python code of the paper Model order reduction of deep structured state-space models: A system-theoretic approach

Efficiently Modeling Long Sequences with Structured State Spaces

Resurrecting Recurrent Neural Networks for Long Sequences

dynoNet: a neural network architecture for learning dynamical systems

From System Models to Class Models: An In-Context Learning Paradigm


Source code and study data for the TOG 2021 paper: Mid-Air Drawing of Curves on 3D Surfaces in Virtual Reality.

Generative Adversarial Networks for Face Generation: A Survey

Text is NOT Enough: Integrating Visual Impressions into Open-domain Dialogue Generation

Productivity, Portability, Performance: Data-Centric Python

SC21: INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS

Explanation-Guided Fairness Testing through Genetic Algorithm

Proceedings of the 44th International Conference on Software Engineering

Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks

SolType: refinement types for arithmetic overflow in solidity

Preventing Discriminatory Decision-making in Evolving Data Streams

The Impact of Dormant Defects on Defect Prediction: a Study of 19 ApacheProjects

Zenodo (CERN European Organization for Nuclear Research)

MiDaS: Representative Sampling from Real-world Hypergraphs

Proceedings of the ACM Web Conference 2022


Source code for training Gated Multimodal Units on MM-IMDb dataset

Gated Multimodal Units for Information Fusion

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning

MultiViz: Towards Visualizing and Understanding Multimodal Models

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

HEMM: Holistic Evaluation of Multimodal Foundation Models


Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".

Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage

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

FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently

IEEE Transactions on Knowledge and Data Engineering

Graph Fairness Learning under Distribution Shifts

Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation

Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification

A Benchmark for Fairness-Aware Graph Learning


A time-discrete race simulator written in Rust

A Race Simulation for Strategy Decisions in Circuit Motorsports

International Conference on Intelligent Transportation Systems

Application of Monte Carlo Methods to Consider Probabilistic Effects in a Race Simulation for Circuit Motorsport

Virtual Strategy Engineer: Using Artificial Neural Networks for Making Race Strategy Decisions in Circuit Motorsport


Form images from U.S. National Archives annotated with text bounding boxes, classes, relationships, and transcription.

End-to-end Document Recognition and Understanding with Dessurt

Deep Visual Template-Free Form Parsing

Visual FUDGE: Form Understanding via Dynamic Graph Editing

Revising FUNSD dataset for key-value detection in document images


Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base completion.

Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods

Explaining Neural Matrix Factorization with Gradient Rollback


Inverse Preference Learning: Preference-based RL without a Reward Function

Zero-shot Preference Learning for Offline RL via Optimal Transport

Efficient Preference-based Reinforcement Learning via Aligned Experience Estimation

Listwise Reward Estimation for Offline Preference-based Reinforcement
  Learning


Code for the paper "Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns"

Attention Is All You Need

Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets

The Surprising Computational Power of Nondeterministic Stack RNNs


KDD CUP 2020 ML Track 2 "Adversarial Attacks and Defense on Academic Graph": 1st Place Solution

TDGIA: Effective Injection Attacks on Graph Neural Networks

Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning

On the Robustness of Graph Neural Diffusion to Topology Perturbations

Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach

Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND


A discrete sequential VAE

Neural Discrete Representation Learning

DRAW: A Recurrent Neural Network For Image Generation

VQ-DRAW: A Sequential Discrete VAE

NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation


Public repository for 3D-MILP paper.


Structured argument extraction for Korean

Open Korean Corpora: A Practical Report

Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS)

Machines Getting with the Program: Understanding Intent Arguments of Non-Canonical Directives

A Survey on Awesome Korean NLP Datasets

Extracting Arguments from Korean Question and Command: An Annotated Corpus for Structured Paraphrasing

Structured Argument Extraction of Korean Question and Command.


Comparing attention-based convolutional and recurrent neural networks under adversarial attacks to investigate their success and limitations in machine reading comprehension

A Compare-Aggregate Model for Matching Text Sequences

Towards a Robust Deep Neural Network in Texts: A Survey

Comparing Attention-based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension


Semi-Dense 3D Reconstruction with a Stereo Event Camera

Event-Based Stereo Visual Odometry

IMU-Aided Event-based Stereo Visual Odometry


Bengali stopwords collection

Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network

Cyberbullying Detection Using Deep Neural Network from Social Media Comments in Bangla Language

Automatic Detection of Satire in Bangla Documents: A CNN Approach Based on Hybrid Feature Extraction Model

Robust and Consistent Estimation of Word Embedding for Bangla Language by fine-tuning Word2Vec Model

An in-depth exploration of Bangla blog post classification

Bulletin of Electrical Engineering and Informatics

Toward Cultural Bias Evaluation Datasets: The Case of Bengali Gender, Religious, and National Identity

Proceedings of the First Workshop on Cross-Cultural Considerations in NLP (C3NLP)

Approaches for Improving the Performance of Fake News Detection in Bangla: Imbalance Handling and Model Stacking

MUM at ComMA@ICON: Multilingual Gender Biased and Communal Language Identification Using Supervised Learning Approaches

Enhancing Bangla Fake News Detection Using Bidirectional Gated Recurrent Units and Deep Learning Techniques


COPOD: Copula-Based Outlier Detection

ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions

UADB: Unsupervised Anomaly Detection Booster


Paper list of 3D Face reconstruction and manipulation and relevant topics

Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression

Photo-Realistic Facial Details Synthesis From Single Image

High-Fidelity Monocular Face Reconstruction Based on an Unsupervised Model-Based Face Autoencoder

IEEE transactions on pattern analysis and machine intelligence

Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling

International Journal of Computer Vision


This is the repository for the collection of software-defined satellite networks.

OpenSAN

SIGCOMM'14: PROCEEDINGS OF THE 2014 ACM CONFERENCE ON SPECIAL INTEREST GROUP ON DATA COMMUNICATION

Routing Algorithm with Virtual Topology Toward to Huge Numbers of LEO Mobile Satellite Network Based on SDN

Routing algorithm design of satellite network architecture based on SDN and ICN

International Journal of Satellite Communications and Networking

Software Defined Integrated Satellite-Terrestrial Network: A Survey

MSN: A Mobility-enhanced Satellite Network Architecture

MOBICOM'16: PROCEEDINGS OF THE 22ND ANNUAL INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING

Mobile Edge Computing for LEO Satellite: A Computation Offloading Strategy Based Improved Ant Colony Algorithm

Proceedings of the 11th International Conference on Computer Engineering and Networks

MPTCP Based Load Balancing Mechanism in Software Defined Satellite Networks

Intelligent Dynamic Timeout for Efficient Flow Table Management in Software Defined Satellite Network

Switching-Aware Dynamic Control Path Planning for Software Defined Large-Scale LEO Satellite Networks with GEO Controllers

Performance Modelling and Evaluation of In-Band Control Mode in Software-Defined Satellite Networks Based on Queuing Theory


A benchmarking suite for disentanglement algorithms, suited for evaluating robustness to correlated factors. Codebase for the paper "Disentanglement of Correlated Factors via Hausdorff Factorized Support" by Karsten Roth, Mark Ibrahim, Zeynep Akata, Pascal Vincent, Diane Bouchacourt.

Deep Learning Face Attributes in the Wild

Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Auto-Encoding Variational Bayes

Disentangling by Factorising

Isolating Sources of Disentanglement in Variational Autoencoders

Understanding disentangling in β-VAE

Variational Inference of Disentangled Latent Concepts from Unlabeled Observations

Weakly-Supervised Disentanglement Without Compromises

Learning Deep Disentangled Embeddings with the F-Statistic Loss

On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset


Implemention of paper "“Learning a Low Tensor-train Rank for Hyperspectral Image Super-resolution" (TNNLS 2019)

Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A comprehensive review

Learning A 3D-CNN and Transformer Prior for Hyperspectral Image Super-Resolution

Fast and Stable Hyperspectral Multispectral Image Fusion Technique Using Moore–Penrose Inverse Solver

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


Implementation of Attentive Multi Task Deep Reinforcement Learning Architecture in Tensorflow

Asynchronous Methods for Deep Reinforcement Learning

Attentive Multi-Task Deep Reinforcement Learning


Code for ICDM-2018 paper: SINE: Sclable Incomplete Network Embedding

SINE: Scalable Incomplete Network Embedding

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

Search Efficient Binary Network Embedding


Code for implementation of Unlearning Scanner Bias for MRI Harmonisation

Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal

A 2-Step Deep Learning Method with Domain Adaptation for Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Magnetic Resonance Segmentation

Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges

FedHarmony: Unlearning Scanner Bias with Distributed Data


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

CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning

MARS: Benchmarking the Metaphysical Reasoning Abilities of Language Models with a Multi-task Evaluation Dataset


Hindi stopwords collection

Complex Network based Supervised Keyword Extractor

Novel Language Resources for Hindi: An Aesthetics Text Corpus and a Comprehensive Stop Lemma List

MUM at ComMA@ICON: Multilingual Gender Biased and Communal Language Identification Using Supervised Learning Approaches


Decision Transformer: Reinforcement Learning via Sequence Modeling

Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction

Offline Reinforcement Learning with Implicit Q-Learning

Offline Reinforcement Learning with Fisher Divergence Critic Regularization

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble

Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics

AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

Mildly Conservative Q-Learning for Offline Reinforcement Learning

Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters


[ICCV 2021 Oral] Mining Latent Classes for Few-shot Segmentation

PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment

Prior Guided Feature Enrichment Network for Few-Shot Segmentation

Part-aware Prototype Network for Few-shot Semantic Segmentation


Prompting Small Language Models for Personalized Cold-Start Recommendation

Recommender Systems in the Era of Large Language Models (LLMs)

Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation

From Data to Decisions: The Transformational Power of Machine Learning
  in Business Recommendations


Do Neural Language Representations Learn Physical Commonsense?

Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models

Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings


Hindsight policy gradients

Hindsight policy gradients

Learning One Representation to Optimize All Rewards

Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning


PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)

Combating Label Distribution Shift for Active Domain Adaptation

Bayesian Active Learning for Sim-to-Real Robotic Perception

Active Test-Time Adaptation: Theoretical Analyses and An Algorithm


The DLCC Node Classification Benchmark for Analyzing Knowledge Graph Embeddings

Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction

Schema First! Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInE


DeepLabv3+ inference and training in MATLAB for Semantic Segmentation

A Standardized Approach for Skin Detection: Analysis of the Literature and Case Studies

Deep ensembles in bioimage segmentation


Efficient Active Search

Neural Combinatorial Optimization with Reinforcement Learning

POMO: Policy Optimization with Multiple Optima for Reinforcement Learning

Efficient Active Search for Combinatorial Optimization Problems

Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization

Towards Omni-generalizable Neural Methods for Vehicle Routing Problems

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization


code for "Optimal Stopping via Randomized Neural Networks"

Pricing and Hedging American-Style Options with Deep Learning

Journal of risk and financial management

Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes


Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".

Understanding Decision-Time vs. Background Planning in Model-Based Reinforcement Learning

Minimal Value-Equivalent Partial Models for Scalable and Robust Planning in Lifelong Reinforcement Learning

Boolean Decision Rules for Reinforcement Learning Policy Summarisation


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

Exploring Machine Teaching with Children

Blind Users Accessing Their Training Images in Teachable Object Recognizers

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

Collaborative Machine Learning Model Building with Families Using Co-ML


COMM 4940: Governing Human-Algorithm Behavior

A Contextual-Bandit Approach to Personalized News Article Recommendation

Exposure to ideologically diverse news and opinion on Facebook

A Theory of Racialized Organizations

#Gamergate and The Fappening: How Reddit’s algorithm, governance, and culture support toxic technocultures

Thinking critically about and researching algorithms

Algorithmic Fairness: Choices, Assumptions, and Definitions

Annual Review of Statistics and Its Application

#thyghgapp: Instagram Content Moderation and Lexical Variation in Pro-Eating Disorder Communities

Conference on Computer Supported Cooperative Work

The Sisyphean Cycle of Technology Panics

Perspectives on psychological science : a journal of the Association for Psychological Science

How social learning amplifies moral outrage expression in online social networks

Algorithmic precarity in cultural work


NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure

Learning Invariant Molecular Representation in Latent Discrete Space