TensorFlow's Visualization Toolkit

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

Unsupervised domain adaptation for medical imaging segmentation with self-ensembling

The Grammar of Interactive Explanatory Model Analysis

Measuring Model Biases in the Absence of Ground Truth

National Conference on Artificial Intelligence

Query Processing on Tensor Computation Runtimes

VizSeq: A Visual Analysis Toolkit for Text Generation Tasks

Empirical Methods in Natural Language Processing

PyText: A Seamless Path from NLP research to production

Learning-Driven Exploration for Reinforcement Learning

Automatic Detection of Moths (Lepidoptera) with a Funnel Trap Prototype

GammaLearn - first steps to apply Deep Learning to the Cherenkov Telescope Array data


CNCF Security Technical Advisory Group -- secure access, policy control, privacy, auditing, explainability and more!

Do Software Security Practices Yield Fewer Vulnerabilities?

An Empirical Study on Using Large Language Models to Analyze Software Supply Chain Security Failures

An Industry Interview Study of Software Signing for Supply Chain
  Security

Application Layer Cyber Deception without Developer Interaction


A very simple framework for state-of-the-art Natural Language Processing (NLP)

Deep contextualized word representations

HuggingFace's Transformers: State-of-the-art Natural Language Processing

Recurrent Neural Network Grammars

Named Entity Recognition with Bidirectional LSTM-CNNs

Pre-trained models for natural language processing: A survey

Contextual String Embeddings for Sequence Labeling

International Conference on Computational Linguistics

FLAIR: An Easy-to-Use Framework for State-of-the-Art NLP

North American Chapter of the Association for Computational Linguistics

Semi-supervised sequence tagging with bidirectional language models

LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention

A Survey on Text Classification: From Shallow to Deep Learning


GitPython is a python library used to interact with Git repositories.

RAxML Grove: an empirical phylogenetic tree database

DLTPy: Deep Learning Type Inference of Python Function Signatures using Natural Language Context

SecretBench: A Dataset of Software Secrets

Tooling for time- and space-efficient git repository mining

Proceedings of the 19th International Conference on Mining Software Repositories

Scholarly Knowledge Extraction from Published Software Packages


Flax is a neural network library for JAX that is designed for flexibility.

Deep Residual Learning for Image Recognition

Attention Is All You Need

Stochastic Gradient VB and the Variational Auto-Encoder

An Empirical Study of Training Self-Supervised Vision Transformers

PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

Offline Reinforcement Learning with Implicit Q-Learning

Long Range Arena: A Benchmark for Efficient Transformers

Structured Denoising Diffusion Models in Discrete State-Spaces

PaLI: A Jointly-Scaled Multilingual Language-Image Model

FNet: Mixing Tokens with Fourier Transforms


On random embeddings and their application to optimisation

Speeding up Krylov subspace methods for computing f(A)b via randomization

Hashing embeddings of optimal dimension, with applications to linear least squares


A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters

A Comprehensive Survey on Community Detection With Deep Learning


Another software library on hierarchical matrices for elliptic differential equations

hm-toolbox: Matlab software for HODLR and HSS matrices

Algorithmic patterns for ℋ-matrices on many-core processors

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

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


ChIP-seq analysis notes from Tommy Tang

A User's Guide to the Encyclopedia of DNA Elements (ENCODE)

Practical Guidelines for the Comprehensive Analysis of ChIP-seq Data

Assessing Computational Methods for Transcription Factor Target Gene Identification Based on ChIP-seq Data

Wellington-bootstrap: differential DNase-seq footprinting identifies cell-type determining transcription factors

Which Genetics Variants in DNase-Seq Footprints Are More Likely to Alter Binding?

Computational Identification of Genomic Features That Influence 3D Chromatin Domain Formation

Detecting broad domains and narrow peaks in ChIP-seq data with hiddenDomains

Carolina Digital Repository (University of North Carolina at Chapel Hill)

MixChIP: a probabilistic method for cell type specific protein-DNA binding analysis


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

Semi-Supervised Classification with Graph Convolutional Networks

Graph Attention Networks

Multitask Active Learning for Graph Anomaly Detection


| MobileGaze: Reat-Time Gaze Estimation models using ResNet 18/34/50, MobileNet v2 and MobileOne s0-s4  | In PyTorch >> ONNX

Deep Residual Learning for Image Recognition

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Gaze360: Physically Unconstrained Gaze Estimation in the Wild

MobileOne: An Improved One millisecond Mobile Backbone

Sample and Computation Redistribution for Efficient Face Detection

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

Weakly-Supervised Physically Unconstrained Gaze Estimation


DeepLearning for Tabular Data with FT_Transformer & ResNet

Revisiting Deep Learning Models for Tabular Data

On Embeddings for Numerical Features in Tabular Deep Learning

Revisiting Pretraining Objectives for Tabular Deep Learning


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

The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games

Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning

Safe Multi-agent Reinforcement Learning with Natural Language
  Constraints


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

Compositional Security for Reentrant Applications


Python port of Moses tokenizer, truecaser and normalizer

Contrastive Learning for Many-to-many Multilingual Neural Machine Translation

Mind the Gap: Assessing Temporal Generalization in Neural Language Models

It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations

Meeting of the Association for Computational Linguistics

CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus

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

International Conference on Computational Logic

Finding the Optimal Vocabulary Size for Neural Machine Translation

Shades of BLEU, Flavours of Success: The Case of MultiWOZ

IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages

NeurST: Neural Speech Translation Toolkit

Many-to-English Machine Translation Tools, Data, and Pretrained Models


Count number of mapped reads per reference in SAM files (often for RNA-Seq experiments)

Infection Strategies Deployed by Botrytis cinerea, Fusarium acuminatum, and Rhizopus stolonifer as a Function of Tomato Fruit Ripening Stage

Dual functionality of the amyloid protein TasA in Bacillus physiology and fitness on the phylloplane

Bacillus subtilis biofilm matrix components target seed oil bodies to promote growth and anti-fungal resistance in melon

RNA-sequencing reveals early, dynamic transcriptome changes in the corollas of pollinated petunias

Host susceptibility factors render ripe tomato fruit vulnerable to fungal disease despite active immune responses

Whole-Genome Resequencing and Pan-Transcriptome Reconstruction Highlight the Impact of Genomic Structural Variation on Secondary Metabolite Gene Clusters in the Grapevine Esca Pathogen Phaeoacremonium minimum

Comparative transcriptome analysis of the wild-type model apomict Hieracium praealtum and its loss of parthenogenesis (lop) mutant

Single and Double Mutations in Tomato Ripening Transcription Factors Have Distinct Effects on Fruit Development and Quality Traits

Small RNA Deep Sequencing Identifies a Unique miRNA Signature Released in Serum Exosomes in a Mouse Model of Sjögren's Syndrome

Susceptibility to disease (tropical theileriosis) is associated with differential expression of host genes that possess motifs recognised by a pathogen DNA binding protein


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 Based Group-Behavior Supported Method for Accurate Detection of Anomalous Users

Function Similarity Using Family Context


Q^2: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering

Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment

Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs


This is a repository of vendor-agnostic workflows provided for those interested in deploying Security Orchestration, Automation, and Response capabilities within their organizations.

PHOENI2X – A European Cyber Resilience Framework With Artificial-Intelligence-Assisted Orchestration, Automation & Response Capabilities for Business Continuity and Recovery, Incident Response, and Information Exchange


Dear Sir or Madam, May I introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer

A Review of Text Style Transfer using Deep Learning

IEEE Transactions on Artificial Intelligence

A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deception


Code for "Universal Adversarial Triggers Are Not Universal."

Universal and Transferable Adversarial Attacks on Aligned Language Models

Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions


Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem

Learning Collaborative Policies to Solve NP-hard Routing Problems

Routing Arena: A Benchmark Suite for Neural Routing Solvers


A mini library for Policy Gradients with Parameter-based Exploration, with reference implementation of the ClipUp optimizer (https://arxiv.org/abs/2008.02387) from NNAISENSE.

Adam: A Method for Stochastic Optimization

Evolution Strategies as a Scalable Alternative to Reinforcement Learning

Simple random search provides a competitive approach to reinforcement learning

Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts

ClipUp: A Simple and Powerful Optimizer for Distribution-based Policy Evolution


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

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

ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing


The implementation of Discriminator Soft Actor Critic

Soft Actor-Critic Algorithms and Applications

SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards

Discriminator Soft Actor Critic without Extrinsic Rewards


Official PyTorch code for training and inference pipeline for DepMamba: Progressive Fusion Mamba for Multimodal Depression Detection

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the Wild


MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.

MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification

Multiomics dynamic learning enables personalized diagnosis and prognosis for pancancer and cancer subtypes

Dynamic Multimodal Information Bottleneck for Multimodality Classification


Machine learning for transportation data imputation and prediction.

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

Recurrent Neural Networks for Multivariate Time Series with Missing Values

Graph Signal Processing: Overview, Challenges and Applications

Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination

IEEE transactions on pattern analysis and machine intelligence

Efficient missing data imputing for traffic flow by considering temporal and spatial dependence

Transportation Research Part C: Emerging Technologies

A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation

Tensor based missing traffic data completion with spatial–temporal correlation

Physica A: Statistical Mechanics and its Applications

Spatial-temporal traffic speed patterns discovery and incomplete data recovery via SVD-combined tensor decomposition

Missing traffic data imputation and pattern discovery with a Bayesian augmented tensor factorization model

A brief overview of machine learning methods for short-term traffic forecasting and future directions


[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).

"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models

TrustLLM: Trustworthiness in Large Language Models

Dr. Jekyll and Mr. Hyde: Two Faces of LLMs


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

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

Journal of Advances in Modeling Earth Systems

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

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

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

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

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

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

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

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

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


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

Improved Training of Wasserstein GANs

On the Effectiveness of Least Squares Generative Adversarial Networks

Wasserstein GAN

On Convergence and Stability of GANs

Geometric GAN


Official PyTorch implementation of BigVGAN (ICLR 2023)

BigVGAN: A Universal Neural Vocoder with Large-Scale Training

High-Fidelity Audio Compression with Improved RVQGAN

Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis

CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models

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

Autoregressive Diffusion Transformer for Text-to-Speech Synthesis

Towards generalizing deep-audio fake detection networks

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

HiFTNet: A Fast High-Quality Neural Vocoder with Harmonic-plus-Noise Filter and Inverse Short Time Fourier Transform

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


Uncertainty Quantification

SpinalNet: Deep Neural Network with Gradual Input

Reduction of Class Activation Uncertainty with Background Information

Uncertainty Aware Neural Network from Similarity and Sensitivity


98.8 solution for german sign classifing problem, done as p2 for Udacity's Self-driving car nano degree

Robust Physical-World Attacks on Deep Learning Models

A Survey on Automated Driving System Testing: Landscapes and Trends

Traffic Sign Classification Using Deep Inception Based Convolutional Networks

Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey

Adversarial Attacks on Traffic Sign Recognition: A Survey

Robust Classification using Robust Feature Augmentation


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


Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum

Dynamic curriculum learning via data parameters for noise robust keyword spotting

DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination


S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)

Exploring Simple Siamese Representation Learning

Improved Baselines with Momentum Contrastive Learning


Hindsight policy gradients

Hindsight policy gradients

Learning One Representation to Optimize All Rewards

Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning


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

Fonduer: Knowledge Base Construction from Richly Formatted Data

SIGMOD'18: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web Documents

Robust Layout-aware IE for Visually Rich Documents with Pre-trained Language Models

One-shot Text Field Labeling using Attention and Belief Propagation for Structure Information Extraction

Visual Segmentation for Information Extraction from Heterogeneous Visually Rich Documents

SIGMOD '19: PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Improving Information Extraction from Visually Rich Documents using Visual Span Representations


This is a platform containing the datasets and federated learning algorithms in IoT environments.

Communication-Efficient Learning of Deep Networks from Decentralized Data

Federated Learning with Personalization Layers

Adaptive Personalized Federated Learning

Federated Evaluation of On-device Personalization

FedHome: Cloud-Edge Based Personalized Federated Learning for In-Home Health Monitoring

PFLlib: Personalized Federated Learning Algorithm Library


HANNA, a large annotated dataset of Human-ANnotated NArratives for ASG evaluation.

RoBERTa: A Robustly Optimized BERT Pretraining Approach

CTRL: A Conditional Transformer Language Model for Controllable Generation

Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation

A Temporal Variational Model for Story Generation

Do Language Models Enjoy Their Own Stories? Prompting Large Language
  Models for Automatic Story Evaluation


HERCULES: An open-source, massively parallel direct numerical simulation solver

Parametrizing the Energy Dissipation Rate in Stably Stratified Flows

On the dissipation rate of temperature fluctuations in stably stratified flows


the Great Automatic Nomenclator — The Next Million Names for Archaea and Bacteria

Addressing the sublime scale of the microbial world: reconciling an appreciation of microbial diversity with the need to describe species

Nomenclature of prokaryotic ‘Candidatus’ taxa: establishing order in the current chaos


Deep Learning for Text Style Transfer: A Survey

Evaluating prose style transfer with the Bible

An Evaluation of Disentangled Representation Learning for Texts

A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deception

An Empirical Study on Multi-Task Learning for Text Style Transfer and Paraphrase Generation


Bayesian inference for learning Tree Substitution Grammars

Stylometric Analysis of Scientific Articles

Native Tongues, Lost and Found: Resources and Empirical Evaluations in Native Language Identification

Explicit and Implicit Syntactic Features for Text Classification

NLI Shared Task 2013: MQ Submission

Workshop on Innovative Use of NLP for Building Educational Applications

Judging Grammaticality with Tree Substitution Grammar Derivations


Code and data related to the meta-analysis of fat distribution in UK Biobank and GIANT

Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry

Sexual differences in genetic architecture in UK Biobank

Obesity, Fat Distribution and Risk of Cancer in Women and Men: A Mendelian Randomisation Study

Machine Learning based histology phenotyping to investigate the epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits


Code for NAACL 2022 paper "Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification"

Making Pre-trained Language Models Better Few-shot Learners

Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification


Embedder with binary sparse distributed representation.

MINE: Mutual Information Neural Estimation

Interpretable Explanations of Black Boxes by Meaningful Perturbation

International Conference on Computer Vision

Opening the Black Box of Deep Neural Networks via Information


Learning Perceptual Inference by Contrasting

The Scattering Compositional Learner: Discovering Objects, Attributes, Relationships in Analogical Reasoning

Few-shot Visual Reasoning with Meta-analogical Contrastive Learning


Optimization with JDTLoss and Evaluation with Fine-grained mIoUs for Semantic Segmentation

Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels

Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union

Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels


TweetCaT - a tool for building Twitter corpora of smaller languages or specific geographical regions

TweetCaT: a tool for building Twitter corpora of smaller languages

TweetGeo - A Tool for Collecting, Processing and Analysing Geo-encoded Linguistic Data

International Conference on Computational Linguistics

Tagging Named Entities in Croatian Tweets

Slovenščina 2.0: empirical, applied and interdisciplinary research


VarSkip multiplex PCR designs for SARS-CoV-2 sequencing

Longitudinal analysis of serum neutralization of SARS-CoV-2 Omicron BA.2, BA.4, and BA.5 in patients receiving monoclonal antibodies

Virologic and Immunologic Characterization of COVID-19 Recrudescence after Nirmatrelvir/Ritonavir Treatment

Overcoming variant mutation-related impacts on viral sequencing and detection methodologies

Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny

Neutralizing Antibody Responses After Severe Acute Respiratory Syndrome Coronavirus 2 BA.2 and BA.2.12.1 Infection Do Not Neutralize BA.4 and BA.5 and Can Be Blunted by Nirmatrelvir/Ritonavir Treatment

Generalized use of Nirmatrelvir plus ritonavir (Paxlovid): Raising concerns

Enfermedades infecciosas y microbiologia clinica


QI package for Mathematica

Quantum Computing: A Taxonomy, Systematic Review and Future Directions

Shadow process tomography of quantum channels

Secure quantum computing for healthcare sector: A short analysis

Fundamental limits on concentrating and preserving tensorized quantum resources


Strongest attack against Feature Scatter and Adversarial Interpolation

Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training

Boosting Adversarial Training with Hypersphere Embedding

Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks

Adversarial Distributional Training for Robust Deep Learning

Improving Adversarial Robustness via Guided Complement Entropy


implicit or explicit water model based docking with Autodock vina engine. supporting pharmacophore /position constrained docking

Isolation, Purification, and Characterization of a Laccase-Degrading Aflatoxin B1 from Bacillus amyloliquefaciens B10

Inhibitory activities of alginate phosphate and sulfate derivatives against SARS-CoV-2 in vitro

International journal of biological macromolecules

Virtual screening and activity evaluation of human uric acid transporter 1 (hURAT1) inhibitors

Identification and Validation of Magnolol Biosynthesis Genes in Magnolia officinalis


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


Simple and Efficient Heterogeneous Graph Neural Network

Long-range Meta-path Search on Large-scale Heterogeneous Graphs

Efficient Heterogeneous Graph Learning via Random Projection

Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials


Dense Passage Retrieval for Open-Domain Question Answering

Learning to Retrieve Passages without Supervision

Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training

To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering

Exploring the Practicality of Generative Retrieval on Dynamic Corpora


Removes shot noise from astronomical images using adaptive kernels

Close encounters: How stellar flybys shape planet-forming discs

The SPHERE view of three interacting twin disc systems in polarized light

Monthly Notices of the Royal Astronomical Society


Content-aware Neural Hashing for Cold-start Recommendation

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

Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering


Creative Commons Attribution 4.0 International

Overview of the TREC 2019 deep learning track

Overview of the TREC 2020 deep learning track

ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Search

TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime

Conformer-Kernel with Query Term Independence for Document Retrieval

Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track


Categorical Reparameterization with Gumbel-Softmax

ListOps: A Diagnostic Dataset for Latent Tree Learning

Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator

Training Discrete Deep Generative Models via Gapped Straight-Through Estimator


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

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

Multi-PGS enhances polygenic prediction by combining 937 polygenic scores

Polygenic risk scores: effect estimation and model optimization


ONT assembly and Illumina polishing pipeline

Rapid de novo assembly of the European eel genome from nanopore sequencing reads

Genomic rearrangements generate hypervariable mini-chromosomes in host-specific isolates of the blast fungus

Identification and Isolation of Two Different Subpopulations Within African Swine Fever Virus Arm/07 Stock

First Report of New Delhi Metallo-β-Lactamase-6 (NDM-6) in a Clinical Acinetobacter baumannii Isolate From Northern Spain

Genomic rearrangements generate hypervariable mini-chromosomes in host-specific lineages of the blast fungus

Nutrient Scarcity in a New Defined Medium Reveals Metabolic Resistance to Antibiotics in the Fish Pathogen Piscirickettsia salmonis

Draft Genome Sequence of Novel Metschnikowia sp. Strain JCM 33374, a Nectar Yeast Isolated from a Bumblebee

Escherichia albertii as a Potential Enteropathogen in the Light of Epidemiological and Genomic Studies


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


Code for the paper "Neural Question Generation from Text: A Preliminary Study"

A Survey of Knowledge-enhanced Text Generation

Answer-driven Deep Question Generation based on Reinforcement Learning

Neural Question Generation with Answer Pivot

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

On Generating Fact-Infused Question Variations

Recent Advances in Natural Language Processing

Multi-Lingual Question Generation with Language Agnostic Language Model

Meeting of the Association for Computational Linguistics


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


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

Gradient-Leakage Resilient Federated Learning

Gradient Leakage Attack Resilient Deep Learning


Creative Commons Attribution Share Alike 4.0 International

Cyber Intelligence Ontology

Cyber Threat Intelligence Model: An Evaluation of Taxonomies, Sharing Standards, and Ontologies within Cyber Threat Intelligence

European Intelligence and Security Informatics Conference

The SEPSES Knowledge Graph: An Integrated Resource for Cybersecurity

A review of knowledge graph application scenarios in cyber security


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

Missing Data Imputation using Optimal Transport

Gradient Importance Learning for Incomplete Observations

Transformed Distribution Matching for Missing Value Imputation

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

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


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

End-To-End Memory Networks

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

Gated End-to-End Memory Networks


2017 NimbRo-OP2 hardware release

RoboCup 2019 AdultSize Winner NimbRo: Deep Learning Perception, In-Walk Kick, Push Recovery, and Team Play Capabilities

NimbRo-OP2: Grown-up 3D Printed Open Humanoid Platform for Research

Grown-Up NimbRo Robots Winning RoboCup 2017 Humanoid AdultSize Soccer Competitions

NimbRo Robots Winning RoboCup 2018 Humanoid AdultSize Soccer Competitions

RoboCup 2022 AdultSize Winner NimbRo: Upgraded Perception, Capture Steps Gait and Phase-based In-walk Kicks


ESC: Redesigning WSD with Extractive Sense Comprehension

North American Chapter of the Association for Computational Linguistics

ConSeC: Word Sense Disambiguation as Continuous Sense Comprehension

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

Nibbling at the Hard Core of Word Sense Disambiguation

Zenodo (CERN European Organization for Nuclear Research)

WiC = TSV = WSD: On the Equivalence of Three Semantic Tasks

LexicoMatic: Automatic Creation of Multilingual Lexical-Semantic Dictionaries

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)


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

BERT-ATTACK: Adversarial Attack Against BERT Using BERT

Towards a Robust Deep Neural Network in Texts: A Survey

Adversarial Robustness of Visual Dialog


[CVPR2019] NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction

Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution Kernel Pairs

Learning multi-tasks with inconsistent labels by using auxiliary big task


Edge-Augmented Graph Transformer

Benchmarking Graph Neural Networks

OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Global Self-Attention as a Replacement for Graph Convolution

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

Gradformer: Graph Transformer with Exponential Decay


Official implementation of the NeurIPS 2023 paper "Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design"

Discovering Reinforcement Learning Algorithms

Discovering Temporally-Aware Reinforcement Learning Algorithms


XAI Experiments on an Annotated Dataset of Wild Bee Images

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

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


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)


Imfit: an open-source astronomical image-fitting program.

Jekyll & Hyde: quiescence and extreme obscuration in a pair of massive galaxies 1.5 Gyr after the Big Bang

The Intrinsic Shapes of Low Surface Brightness Galaxies (LSBGs): A Discriminant of LSBG Galaxy Formation Mechanisms

Composite bulges – II. Classical bulges and nuclear discs in barred galaxies: the contrasting cases of NGC 4608 and NGC 4643

Monthly notices of the Royal Astronomical Society

Composite Bulges. III. A Study of Nuclear Star Clusters in Nearby Spiral Galaxies

Flares, Warps, Truncations, and Satellite: The Ultra-thin Galaxy UGC 11859


NetVLAD: CNN architecture for weakly supervised place recognition

NetVLAD: CNN Architecture for Weakly Supervised Place Recognition

Robust Image Retrieval-based Visual Localization using Kapture

Benchmarking Image Retrieval for Visual Localization

Hyperdimensional computing as a framework for systematic aggregation of image descriptors

Investigating the Role of Image Retrieval for Visual Localization

International Journal of Computer Vision

Fast and Efficient Scene Categorization for Autonomous Driving using VAEs

24th Irish Machine Vision and Image Processing Conference

Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place Recognition


Sliced Score Matching: A Scalable Approach to Density and Score Estimation

Learning Energy-Based Models in High-Dimensional Spaces with Multiscale Denoising-Score Matching

Variational Noise-Contrastive Estimation

Bi-level Score Matching for Learning Energy-based Latent Variable Models


Semi-Dense 3D Reconstruction with a Stereo Event Camera

Event-Based Stereo Visual Odometry

IMU-Aided Event-based Stereo Visual Odometry


[MICCAI 2022] MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

Self-Challenging Improves Cross-Domain Generalization

Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation


Intelligent Health Care: Applications of Deep Learning in Computational Medicine

DeepCPI: A Deep Learning-based Framework for Large-scale in silico Drug Screening

基因组蛋白质组与生物信息学报

Trends and Potential of Machine Learning and Deep Learning in Drug Study at Single-Cell Level

A computational framework of host-based drug repositioning for broad-spectrum antivirals against RNA viruses

An in silico drug repositioning workflow for host-based antivirals


Some toy examples of score matching algorithms written in PyTorch

How to Train Your Energy-Based Models

Deep Energy Estimator Networks


A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks (AAAI'20)

Rethinking the Inception Architecture for Computer Vision

Identity Mappings in Deep Residual Networks

An empirical study of derivative-free-optimization algorithms for targeted black-box attacks in deep neural networks


Synthetic Grid Creation for MATPOWER

Generating Statistically Correct Random Topologies for Testing Smart Grid Communication and Control Networks

On Bus Type Assignments in Random Topology Power Grid Models

Improved Synthetic Power Grid Modeling With Correlated Bus Type Assignments

A Mathematical Programming Solution for Automatic Generation of Synthetic Power Flow Cases

On the Scaling Property of Power Grids

Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences

A Novel Algorithm for Statistical Assignment of Transmission Capacities in Synthetic Grid Modeling

Power and Energy Society General Meeting

Statistically Analyzing Power System Network


A dataset of functional and defective solar cells extracted from EL images of solar modules

Defect Detection Methods for Industrial Products Using Deep Learning Techniques: A Review

Weakly Supervised Segmentation of Cracks on Solar Cells using Normalized Lp Norm

Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules

A Survey on Unsupervised Anomaly Detection Algorithms for Industrial Images

IOP Conference Series: Earth and Environmental Science

Identifying defective solar cells in electroluminescence images using deep feature representations

Deep-Learning-Based Automatic Detection of Photovoltaic Cell Defects in Electroluminescence Images

Corrigendum: GAN-Based Augmentation for Improving CNN Performance of Classification of Defective Photovoltaic Module Cells in Electroluminescence Images (IOP Conf. Ser.: Earth Environ. Sci. 354 012106)

PAEDID: Patch Autoencoder Based Deep Image Decomposition For Pixel-level Defective Region Segmentation

The Poisson Multinomial Distribution and Its Applications in Voting Theory, Ecological Inference, and Machine Learning


Red-C data processing

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

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

International journal of molecular sciences

RNA-DNA interactomes of three prokaryotes uncovered by proximity ligation


Pretrained models on CIFAR10/100 in PyTorch

Continual Learning in Deep Networks: an Analysis of the Last Layer

T-Cal: An optimal test for the calibration of predictive models

Learning from Multiple Annotator Noisy Labels via Sample-wise Label Fusion

Free Fine-tuning: A Plug-and-Play Watermarking Scheme for Deep Neural Networks

Imperceptible Adversarial Attack via Invertible Neural Networks

Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation

Continual Feature Selection: Spurious Features in Continual Learning

A Bag-of-Prototypes Representation for Dataset-Level Applications

Energy-based Automated Model Evaluation

K-means Clustering Based Feature Consistency Alignment for Label-free Model Evaluation


A paper collection about automated graph learning

Automated Machine Learning on Graphs: A Survey

GraphPAS: Parallel Architecture Search for Graph Neural Networks

SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

Automated Graph Machine Learning: Approaches, Libraries and Directions

Fitness landscape analysis of graph neural network architecture search spaces

Proceedings of the Genetic and Evolutionary Computation Conference

Automatic Graph Learning with Evolutionary Algorithms: An Experimental Study

Pacific Rim International Conference on Artificial Intelligence

ALGNN: Auto-Designed Lightweight Graph Neural Network


Toolbox to simulate GNF and viscoelastic fluid flows in OpenFOAM®

Electroosmotic Flow of Viscoelastic Fluid through a Constriction Microchannel

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

Shear Banding in 4:1 Planar Contraction

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

Numerical simulation of electrically-driven flows using OpenFOAM

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

International Journal of Heat and Fluid Flow

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

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

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

Open-source finite volume solvers for multiphase (n-phase) flows involving either Newtonian or non-Newtonian complex fluids


Suite of tools for use in genome assembly and consensus. Work in progress.

Genetic Barriers to Historical Gene Flow between Cryptic Species of Alpine Bumblebees Revealed by Comparative Population Genomics

Rapid adaptive radiation of Darwin’s finches depends on ancestral genetic modules


MRAugment: physics-aware data augmentation for deep learning based accelerated MRI reconstruction

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

End-to-End Variational Networks for Accelerated MRI Reconstruction

Data augmentation for deep learning based accelerated MRI reconstruction with limited data


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

Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study

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


Efficient Object Localization Using Convolutional Networks

Averaging Weights Leads to Wider Optima and Better Generalization

Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness

Improving the Adversarial Robustness of Transfer Learning via Noisy Feature Distillation


RISC-V Instruction Set Simulator (Built for education).

A Survey of the RISC-V Architecture Software Support


This repository is an implementation of "MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer" accepted to ICML 2022.

Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning


Python modules and jupyter notebook examples for the paper Arbitrage-free Neural-SDE Market Models.

Arbitrage-Free Neural-SDE Market Models

Detecting and repairing arbitrage in traded option prices

Estimating risks of option books using neural-SDE market models

Hedging Option Books Using Neural-SDE Market Models


A basic procedural modelling engine for generating buildings and other features in CityGML

GENERATION OF MULTI-LOD 3D CITY MODELS IN CITYGML WITH THE PROCEDURAL MODELLING ENGINE RANDOM3DCITY

International Conference Smart Data and Smart Cities

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

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

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


Kilonova models associated to papers using POSSIS

Optical follow-up of the neutron star–black hole mergers S200105ae and S200115j

The critical role of nuclear heating rates, thermalization efficiencies and opacities for kilonova modelling and parameter inference

Detectability of kilonovae in optical surveys: post-mortem examination of the LVC O3 run follow-up

Monthly Notices of the Royal Astronomical Society

Polarized kilonovae from black hole–neutron star mergers

Predicting electromagnetic counterparts using low-latency gravitational-wave data products

Impact of jets on kilonova photometric and polarimetric emission from binary neutron star mergers

A search for the afterglows, kilonovae, and host galaxies of two short GRBs: GRB 211106A and GRB 211227A

Predictions for electromagnetic counterparts to Neutron Star mergers discovered during LIGO-Virgo-KAGRA observing runs 4 and 5

Kilonova-Targeting Lightcurve Classification for Wide Field Survey Telescope


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


Paper list of KBQA

Core techniques of question answering systems over knowledge bases: a survey

Stepwise Reasoning for Multi-Relation Question Answering over Knowledge Graph with Weak Supervision

Learning to Answer Complex Questions over Knowledge Bases with Query Composition

PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19)

Complex Knowledge Base Question Answering: A Survey

Hierarchical Query Graph Generation for Complex Question Answering over Knowledge Graph

International Conference on Information and Knowledge Management

A Survey of Question Answering over Knowledge Base

KNOWLEDGE GRAPH AND SEMANTIC COMPUTING: KNOWLEDGE COMPUTING AND LANGUAGE UNDERSTANDING

Introduction to neural network-based question answering over knowledge graphs

Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery

PERQ: Predicting, Explaining, and Rectifying Failed Questions in KB-QA Systems


NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure

Learning Invariant Molecular Representation in Latent Discrete Space


This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", which is accepted to ICLR 2023.

DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization

Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks


Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets"

Towards Learning Universal, Regional, and Local Hydrological Behaviors via Machine-Learning Applied to Large-Sample Datasets

The proper care and feeding of CAMELS: How limited training data affects streamflow prediction

Global soil moisture data derived through machine learning trained with in-situ measurements

Earthquake Nowcasting with Deep Learning


ACL 2023 paper "A Critical Evaluation of Evaluations for Long-form Question Answering"

WebGPT: Browser-assisted question-answering with human feedback

Hurdles to Progress in Long-form Question Answering


Non-Autoregressive Predictive Coding

Generative Pre-Training for Speech with Autoregressive Predictive Coding

Vector-Quantized Autoregressive Predictive Coding

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

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


This is a sample implementation of "Asymmetric Transitivity Preserving Graph Embedding"(KDD 2016).

Graph-based Semi-supervised Learning: A Comprehensive Review

Scalable Graph Embeddings via Sparse Transpose Proximities

Seven-Layer Model in Complex Networks Link Prediction: A Survey

Adaptive Network Automata Modelling of Complex Networks

Network representation learning systematic review: ancestors and current development state

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


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

Fast Hoeffding Drift Detection Method for Evolving Data Streams

McDiarmid Drift Detection Methods for Evolving Data Streams

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

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


Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features and multigranularity.

The Tsetlin Machine - A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic

The Convolutional Tsetlin Machine

Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability

Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment

On the Convergence of Tsetlin Machines for the XOR Operator

Measuring the Novelty of Natural Language Text Using the Conjunctive Clauses of a Tsetlin Machine Text Classifier

A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks

Coalesced Multi-Output Tsetlin Machines with Clause Sharing

A Tsetlin Machine with Multigranular Clauses

Word-level human interpretable scoring mechanism for novel text detection using Tsetlin Machines


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


Contact Tracing BLE sniffer PoC

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

DESIRE: Leveraging the best of centralized and decentralized contact tracing systems

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


Matlab code of Bayesian CP Factorization for Tensor Completion

Dictionary Learning With Low-Rank Coding Coefficients for Tensor Completion

A dual framework for low-rank tensor completion

Low-Rank and Sparse Enhanced Tucker Decomposition for Tensor Completion

Regularized and Smooth Double Core Tensor Factorization for Heterogeneous Data


Energy Sharing System


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

Teacher-Student Curriculum Learning

Analyzing the Nuances of Transformers' Polynomial Simplification Abilities


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


Matlab Code for: "Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising. Arvix. Dec 2018"

Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration

FastHyMix: Fast and Parameter-Free Hyperspectral Image Mixed Noise Removal

SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising

A Graph-Regularized Non-local Hyperspectral Image Denoising Method

International Symposium on Geometry and Vision


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

ChebNet: Efficient and Stable Constructions of Deep Neural Networks with Rectified Power Units via Chebyshev Approximations


JavaScript MOOC simulations for the edX class Quantum Mechanics for Everyone provided by Georgetown University

Teaching Quantum Mechanics to Over 28,000 Nonscientists

Incorporating the Stern-Gerlach delayed-choice quantum eraser into the undergraduate quantum mechanics curriculum

Should we trade off higher-level mathematics for abstraction to improve student understanding of quantum mechanics?


Deep Learning for Domain Name System

DNS Tunneling Queries for Binary Classification

UMUDGA - University of Murcia Domain Generation Algorithm Dataset

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


Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers

Controllable Chest X-Ray Report Generation from Longitudinal Representations

Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting


Code and datasets for the paper "Deepfake Text Detection: Limitations and Opportunities"

Neural Deepfake Detection with Factual Structure of Text

GRUEN for Evaluating Linguistic Quality of Generated Text

Authorship Obfuscation in Multilingual Machine-Generated Text Detection


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

Sequential estimation of Spearman rank correlation using Hermite series estimators

Sequential quantiles via Hermite series density estimation

On the properties of hermite series based distribution function estimators


Understanding self-supervised Learning Dynamics without Contrastive Pairs

A Cookbook of Self-Supervised Learning

Understanding Self-supervised Learning with Dual Deep Networks

Understanding Deep Contrastive Learning via Coordinate-wise Optimization

Towards Demystifying Representation Learning with Non-contrastive Self-supervision

Luck Matters: Understanding Training Dynamics of Deep ReLU Networks

JoMA: Demystifying Multilayer Transformers via JOint Dynamics of MLP and Attention

Student Specialization in Deep ReLU Networks With Finite Width and Input Dimension

Understanding the Role of Nonlinearity in Training Dynamics of Contrastive Learning


Anatomically-aware Uncertainty for Semi-supervised Image Segmentation

Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation

Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency

Leveraging Labeling Representations in Uncertainty-based Semi-supervised Segmentation


Code release for the TIP paper and MICCAI2018 paper "One-Pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation".

FusionNet: A Deep Fully Residual Convolutional Neural Network for Image Segmentation in Connectomics

One-Pass Multi-Task Networks With Cross-Task Guided Attention for Brain Tumor Segmentation

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

Deep Learning Based Brain Tumor Segmentation: A Survey


Indels are not ideal - quick test for interrupted ORFs in bacterial/microbial genomes

Draft Genome Sequences of 59 Endospore-Forming Gram-Positive Bacteria Associated with Crop Plants Grown in Vietnam

Novel Plant-Associated Brevibacillus and Lysinibacillus Genomospecies Harbor a Rich Biosynthetic Potential of Antimicrobial Compounds

Genetic diversity of Leptospira isolates in Lao PDR and genome analysis of an outbreak strain

Genome sequence data of Bacillus velezensis BP1.2A and BT2.4

Plant-Associated Representatives of the Bacillus cereus Group Are a Rich Source of Antimicrobial Compounds


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

Prototypical Networks for Few-shot Learning

Meta-Learning with Differentiable Convex Optimization

Meta-learning with differentiable closed-form solvers

Robust Few-Shot Learning with Adversarially Queried Meta-Learners


A succinct toolset for analyzing climate data. This project is a work-in-progress.


Satellite Imagery Multi-vehicles Dataset (SIMD)

YOLO-HR: Improved YOLOv5 for Object Detection in High-Resolution Optical Remote Sensing Images

YOLO-SE: Improved YOLOv8 for Remote Sensing Object Detection and Recognition


[NeurIPS 2023] VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation

Shape As Points: A Differentiable Poisson Solver

Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining

Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?


How Robust are Randomized Smoothing based Defenses to Data Poisoning? (CVPR 2021)

Certified Adversarial Robustness via Randomized Smoothing

Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers

MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius

Penalty Method for Inversion-Free Deep Bilevel Optimization


Analytic covariance of the galaxy power spectrum multipoles

Galaxy power spectrum multipoles covariance in perturbation theory

Cosmological constraints from BOSS with analytic covariance matrices

ELG Spectroscopic Systematics Analysis of the DESI Data Release 1

Fast computation of the non-Gaussian covariance of redshift-space galaxy power spectrum multipoles


This repository contains code to apply vision transformers on surface data

Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis

Surface Analysis with Vision Transformers

Surface Vision Transformers: Flexible Attention-Based Modelling of Biomedical Surfaces

The Multiscale Surface Vision Transformer


code for "Delving into Probabilistic Uncertainty for Unsupervised Domain Adaptive Person Re-Identification" in AAAI2022

Deep Residual Learning for Image Recognition

Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking

Person Transfer GAN to Bridge Domain Gap for Person Re-Identification


Chromatin-state discovery and genome annotation with ChromHMM

Universal annotation of the human genome through integration of over a thousand epigenomic datasets

Integrative pan cancer analysis reveals epigenomic variation in cancer type and cell specific chromatin domains

Double-strand break toxicity is chromatin context independent

Pergola: Boosting Visualization and Analysis of Longitudinal Data by Unlocking Genomic Analysis Tools


Long short-term memory Spiking Neural Networks

Long short-term memory and learning-to-learn in networks of spiking neurons

Deep Rewiring: Training very sparse deep networks

Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets


YOLOv3: An Incremental Improvement

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

EfficientDet: Scalable and Efficient Object Detection


A Julia package for training and evaluating multimodal deep Boltzmann machines

Partitioned learning of deep Boltzmann machines for SNP data

Deep generative models in DataSHIELD

Unsupervised deep learning on biomedical data with BoltzmannMachines.jl


For CVPR2022 Submission

Manifold Mixup: Better Representations by Interpolating Hidden States

Charting the Right Manifold: Manifold Mixup for Few-shot Learning

Leveraging the Feature Distribution in Transfer-based Few-Shot Learning

EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning


A continually expanding collection of RNA-seq tools

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

Metascape provides a biologist-oriented resource for the analysis of systems-level datasets

miRDB: an online database for prediction of functional microRNA targets

rMATS: Robust and flexible detection of differential alternative splicing from replicate RNA-Seq data

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

Analysis and design of RNA sequencing experiments for identifying isoform regulation

Multi-omics Data Integration, Interpretation, and Its Application

ComBat-seq: batch effect adjustment for RNA-seq count data

ANOVA-Like Differential Expression (ALDEx) Analysis for Mixed Population RNA-Seq

ChEA3: transcription factor enrichment analysis by orthogonal omics integration

A Highly Conserved Program of Neuronal Microexons Is Misregulated in Autistic Brains


Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"

Denoising diffusion models for out-of-distribution detection

Unsupervised 3D out-of-distribution detection with latent diffusion models

Histogram- and Diffusion-Based Medical Out-of-Distribution Detection


MATLAB Code for Iterative Robust Graph for Unsupervised Change Detection of Heterogeneous Remote Sensing Images

Unsupervised Image Regression for Heterogeneous Change Detection

IEEE Transactions on Geoscience and Remote Sensing

Structure Consistency-Based Graph for Unsupervised Change Detection With Homogeneous and Heterogeneous Remote Sensing Images

A Fractal Projection and Markovian Segmentation-Based Approach for Multimodal Change Detection

Exploiting variational inequalities for generalized change detection on graphs

COMIC: An Unsupervised Change Detection Method for Heterogeneous Remote Sensing Images Based on Copula Mixtures and Cycle-Consistent Adversarial Networks


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

Non-LTE chemical abundances in Galactic open and globular clusters

MINESweeper: Spectrophotometric Modeling of Stars in the Gaia Era

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


[TIP2020] Official Implementation of MEF-SSIMd

Multi-Exposure Image Fusion Techniques: A Comprehensive Review

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

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


Fast Inference of Networks from Directed Regulations

Learning Causal Biological Networks With the Principle of Mendelian Randomization

Efficient and accurate causal inference with hidden confounders from genome-transcriptome variation data

High-Dimensional Bayesian Network Inference From Systems Genetics Data Using Genetic Node Ordering

Causal inference in drug discovery and development

Comparison between instrumental variable and mediation-based methods for reconstructing causal gene networks in yeast


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

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

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

International journal of information technology


A curated list of recent textbooks, reviews, perspectives, and research papers related to quantum machine learning, variational quantum algorithms, tensor networks, and classical machine learning applications in quantum systems.

Quantum Chemistry in the Age of Quantum Computing

Quantum circuit learning

Evaluating analytic gradients on quantum hardware

Circuit-centric quantum classifiers

Quantum optimization using variational algorithms on near-term quantum devices

Expressibility and Entangling Capability of Parameterized Quantum Circuits for Hybrid Quantum‐Classical Algorithms

Quantum Boltzmann Machine

Quantum autoencoders for efficient compression of quantum data

Quantum Generative Adversarial Learning

Quantum generative adversarial networks


Unofficial implementation of some fantastic shallow domain adaptation (SDA) methods.

Joint Geometrical and Statistical Alignment for Visual Domain Adaptation

Discriminative Transfer Subspace Learning via Low-Rank and Sparse Representation

Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation

Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling

Visual domain adaptation via transfer feature learning

Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation

Discriminative and Geometry Aware Unsupervised Domain Adaptation

Active Transfer Learning

IEEE Transactions on Circuits and Systems for Video Technology

Discriminant Geometrical and Statistical Alignment With Density Peaks for Domain Adaptation

Maximum Mean and Covariance Discrepancy for Unsupervised Domain Adaptation


FaceForensics++: Learning to Detect Manipulated Facial Images

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

The DeepFake Detection Challenge (DFDC) Dataset

Video Face Manipulation Detection Through Ensemble of CNNs


CrossRE: A Cross-Domain Dataset for Relation Extraction (Findings of EMNLP 2022)

The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation

Multi-CrossRE A Multi-Lingual Multi-Domain Dataset for Relation Extraction


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

LION: Latent Point Diffusion Models for 3D Shape Generation

Probabilistic Implicit Scene Completion


Public Code for ICS Evasion Attack Generation

A Survey on Industrial Control System Testbeds and Datasets for Security Research

IEEE Communications Surveys and Tutorials

Constrained Concealment Attacks against Reconstruction-based Anomaly Detectors in Industrial Control Systems

Asia-Pacific Computer Systems Architecture Conference

No Need to Know Physics: Resilience of Process-based Model-free Anomaly Detection for Industrial Control Systems


The SOLAR blackbox optimization problem

Quantifying uncertainty with ensembles of surrogates for blackbox optimization

Sequential stochastic blackbox optimization with zeroth-order gradient estimators

Hierarchically constrained multi-fidelity blackbox optimization


Diversification of Rosaceae since the Late Cretaceous based on plastid phylogenomics

The Implications of Incongruence between Gene Tree and Species Tree Topologies for Divergence Time Estimation

Extensive genomic rearrangements mediated by repetitive sequences in plastomes of Medicago and its relatives

Plastome Structural Conservation and Evolution in the Clusioid Clade of Malpighiales

The Loss of the Inverted Repeat in the Putranjivoid Clade of Malpighiales

Does IR-loss promote plastome structural variation and sequence evolution?

Plastid Phylogenomics and Plastomic Diversity of the Extant Lycophytes

A DNA barcode library for woody plants in tropical and subtropical China

Complete plastid genome structure of 13 Asian Justicia (Acanthaceae) species: comparative genomics and phylogenetic analyses

Untying the Gordian knot of plastid phylogenomic conflict: A case from ferns


Gifsplanation - Explaining neural networks with gifs!

Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays

Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Progressive Exaggeration on Chest X-rays.


Self-supervised vision transformers for joint SAR-optical representation learning

Self-supervised Learning in Remote Sensing: A Review

SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation

Self-supervised Vision Transformers for Joint SAR-optical Representation Learning

DeCUR: decoupling common & unique representations for multimodal self-supervision


Multi-label Image Recognition with Partial Labels (IJCV'24, ESWA'24, AAAI'22)

Structured Semantic Transfer for Multi-Label Recognition with Partial Labels

Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels

Dual-perspective semantic-aware representation blending for multi-label image recognition with partial labels

Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels


Classify Skin cancer from the skin lesion images using Image classification. The dataset for the project is obtained from the Kaggle SIIM-ISIC-Melanoma-Classification competition.

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Bag of Tricks for Image Classification with Convolutional Neural Networks

Identifying Melanoma Images using EfficientNet Ensemble: Winning Solution to the SIIM-ISIC Melanoma Classification Challenge


Adversarial Black box Explainer generating Latent Exemplars

Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications

Black Box Explanation by Learning Image Exemplars in the Latent Feature Space

Explaining Image Classifiers Generating Exemplars and Counter-Exemplars from Latent Representations

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

Contextualizing Support Vector Machine Predictions

International Journal of Computational Intelligence Systems


A box of genomics tools

De novo assembly of the zucchini genome reveals a whole-genome duplication associated with the origin of the Cucurbita genus.

Transposon activation is a major driver in the genome evolution of cultivated olive trees (Olea europaea L.)

Early and delayed long-term transcriptional changes and short-term transient responses during cold acclimation in olive leaves

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

De Novo Genome Sequence Assembly of Dwarf Coconut (Cocos nucifera L. ‘Catigan Green Dwarf’) Provides Insights into Genomic Variation Between Coconut Types and Related Palm Species

Mining transcriptomic data to study the origins and evolution of a plant allopolyploid complex

Comparative Analysis of Genotyping by Sequencing and Whole-Genome Sequencing Methods in Diversity Studies of Olea europaea L.

Morphoagronomic characterization and whole-genome resequencing of eight highly diverse wild and weedy S. pimpinellifolium and S. lycopersicum var. cerasiforme accessions used for the first interspecific tomato MAGIC population

Polyploid Nicotiana section Suaveolentes originated by hybridization of two ancestral Nicotiana clades

Combining transcriptome analysis and GWAS for identification and validation of marker genes in the Physalis peruviana-Fusarium oxysporum pathosystem

Chromosome-Level Assembly of Artemia franciscana Sheds Light on Sex Chromosome Differentiation


scRNA-seq clustering, visualization, and differential expression pipeline from Sims Lab papers

Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease

Single-cell transcriptome analysis of lineage diversity in high-grade glioma

De novo gene signature identification from single-cell RNA-seq with hierarchical Poisson factorization.

Deconvolution of cell type-specific drug responses in human tumor tissue with single-cell RNA-seq

Subcellular proteomics of dopamine neurons in the mouse brain reveals axonal enrichment of proteins encoded by Parkinson’s disease-linked genes

Single-Cell Analysis of 5-ALA Intraoperative Labeling Specificity for Glioblastoma

Conserved and cell type-specific transcriptional responses to IFN-γ in the ventral midbrain

A cell state specific metabolic vulnerability to GPX4-dependent ferroptosis in glioblastoma

bioRxiv : the preprint server for biology


Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).

Long-Short Transformer: Efficient Transformers for Language and Vision

Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning

A Primal-Dual Framework for Transformers and Neural Networks


Sergey Koposov's repository of codes, converted from IDL astrolib. Some are mimicking the IDL interface, some are new. Some are obsolete given the existence of astropy

The R-Process Alliance: First Release from the Northern Search for r-process-enhanced Metal-poor Stars in the Galactic Halo

The R-Process Alliance: Discovery of a Low-α, r-process-enhanced Metal-poor Star in the Galactic Halo

Moment expansion of polarized dust SED: A new path towards capturing the CMB B-modes with LiteBIRD

A sensitive APEX and ALMA CO(1–0), CO(2–1), CO(3–2), and [CI](1–0) spectral survey of 40 local (ultra-)luminous infrared galaxies

A Long-duration Luminous Type IIn Supernova KISS15s: Strong Recombination Lines from the Inhomogeneous Ejecta-CSM Interaction Region and Hot Dust Emission from Newly Formed Dust

The Characterization of the Dust Content in the Ring Around Sz 91: Indications of Planetesimal Formation?

Kinematics of Type II Cepheids of the Galactic Halo

HubPUG: Proper Motions for Local Group Dwarfs observed with HST utilizing Gaia as a Reference Frame

DEATHSTAR: A system for confirming planets and identifying false positive signals in TESS data using ground-based time domain surveys

A possible relation between global CO excitation and massive molecular outflows in local ULIRGs


BottomUpTopDown VQA model with question-type debiasing

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases

Introspective Distillation for Robust Question Answering


A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks

Generalized Teacher Forcing for Learning Chaotic Dynamics

Multimodal Teacher Forcing for Reconstructing Nonlinear Dynamical Systems


Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."

Neuromodulated Neural Architectures with Local Error Signals for Memory-Constrained Online Continual Learning

Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures

TAME: Task Agnostic Continual Learning using Multiple Experts


Transfer Feature Learning with Joint Distribution Adaptation

International Conference on Computer Vision

Balanced Distribution Adaptation for Transfer Learning

On the application of domain adaptation in structural health monitoring

Mechanical systems and signal processing

Foundations of population-based SHM, Part III: Heterogeneous populations – Mapping and transfer

Machine learning at the interface of structural health monitoring and non-destructive evaluation

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

Overcoming the problem of repair in structural health monitoring: Metric-informed transfer learning

On the application of kernelised Bayesian transfer learning to population-based structural health monitoring


Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.

TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning

PROTES: Probabilistic Optimization with Tensor Sampling


FIRECAM: Fire Inventories - Regional Evaluation, Comparison, and Metrics

Global fire emissions estimates during 1997–2016

The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning

Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power

Global top-down smoke aerosol emissions estimation using satellite fire radiative power measurements

Diagnosing spatial biases and uncertainties in global fire emissions inventories: Indonesia as regional case study


Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"

Simple Black-box Adversarial Attacks

Projection & Probability-Driven Black-Box Attack

On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks

Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them

SOAR: Second-Order Adversarial Regularization


Scripts for SPM, FSL and AFNI used for investigating the validity of parametric statistics for multi-subject fMRI.

Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates

Cluster failure revisited: Impact of first level design and physiological noise on cluster false positive rates

Reply to Cox et al. and Kessler et al.: Data and code sharing is the way
  forward for fMRI

Analysis of BOLD fMRI Signal Preprocessing Pipeline on Different Datasets while Reducing False Positive Rates

Correction


Converts an input mesh to a signed distance field (SDF)

CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets

Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation

QuasiSim: Parameterized Quasi-Physical Simulators for Dexterous
  Manipulations Transfer


Official code for papers "Perceptual Compressive Sensing" at PRCV 2018 and "Fully Convolutional Measurement Network for Compressive Sensing Image Reconstruction" at Neurocomputing 2019.

Fully convolutional measurement network for compressive sensing image reconstruction

Adaptive Measurement Network for CS Image Reconstruction

Full Image Recover for Block-Based Compressive Sensing

Perceptual Compressive Sensing

PATTERN RECOGNITION AND COMPUTER VISION, PT III

Visualizing and understanding of learned compressive sensing with residual network

Color Image Reconstruction with Perceptual Compressive Sensing

International Conference on Pattern Recognition


Sparse Filtering


Supervised Classification of bird species :bird: in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data [ICVGIPW'18]

Mask R-CNN

Rethinking the Inception Architecture for Computer Vision

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

Bird Species Classification using Transfer Learning with Multistage Training


National Electricity Market Optimiser


Saliency-guided Visual Attention Modeling. #RSS2022 #SOD #RobotVision

U-Net: Convolutional Networks for Biomedical Image Segmentation

Rethinking Atrous Convolution for Semantic Image Segmentation

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling

SVAM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robots


Handy scripts for SPM

Machine learning‐based multimodal prediction of language outcomes in chronic aphasia

Effects of eight neuropsychiatric copy number variants on human brain structure

Perfusion-Phase [18F]THK5351 Tau-PET Imaging as a Surrogate Marker for Neurodegeneration

Canonical Sentence Processing and the Inferior Frontal Cortex: Is There a Connection?

Neurobiology of language (Cambridge, Mass.)

Neuropsychiatric copy number variants exert shared effects on human brain structure

Perception and memory retrieval states are reflected in distributed patterns of background functional connectivity

Locus coeruleus activity while awake is associated with REM sleep quality in older individuals

Discourse- and lesion-based aphasia quotient estimation using machine learning


A Matlab toolbox for nonlinear optimization using symbolic tensor calculus

Newton and interior-point methods for (constrained) nonconvex-nonconcave minmax optimization with stability and instability guarantees

����������������
: a toolbox to generate fast code to solve nonlinear constrained minimizations and compute Nash equilibria

An active learning method for solving competitive multi-agent decision-making and control problems


A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series

Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations

Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approach


A Generalized Web Component for Domain-Independent Smart Assistants

A Semantic Web Framework for Automated Smart Assistants: A Case Study for Public Health

A Semantic Web Framework for Automated Smart Assistants: COVID-19 Case Study


Analysing Metagenomic Species (MGS)

A new genomic blueprint of the human gut microbiota

DeepMicrobes: taxonomic classification for metagenomics with deep learning

Packaging research artefacts with RO-Crate

MetaTransformer: deep metagenomic sequencing read classification using self-attention models


Algorithm for the inference of cell types from single-cell RNA-seq data.

Single-Cell RNA-Seq Technologies and Related Computational Data Analysis

The Polycomb-Dependent Epigenome Controls β Cell Dysfunction, Dedifferentiation, and Diabetes

Computational approaches for interpreting scRNA-seq data

Digital Cell Atlas of Mouse Uterus: From Regenerative Stage to Maturational Stage


HarDNet: A Low Memory Traffic Network

HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS

NeoUNet: Towards accurate colon polyp segmentation and neoplasm detection

Deep ensembles in bioimage segmentation


Facial image inpainting is a task of filling visually realistic and semantically meaningful contents for missing or masked pixels in a face image. This paper presents EXE-GAN, a novel diverse and interactive facial inpainting framework, which can not only preserve the high-quality visual effect of the whole image but also complete the face image with exemplar-like facial attributes.

Paint by Example: Exemplar-based Image Editing with Diffusion Models

Reference-Guided Large-Scale Face Inpainting With Identity and Texture Control

Do Inpainting Yourself: Generative Facial Inpainting Guided by Exemplars

PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face inpainting


[FG 2019 Oral] Attribute-Guided Sketch Generation

AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networks

Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation

Attribute-Guided Sketch Generation


Full-Shape Power Spectrum and Bispectrum Likelihoods

Updated constraints from the effective field theory analysis of the BOSS power spectrum on early dark energy

Ultra-light axions and the S_8 tension: joint constraints from the cosmic microwave background and galaxy clustering

Consistency of effective field theory analyses of the BOSS power spectrum

The state of the dark energy equation of state circa 2023

Determining the Hubble Constant without the Sound Horizon: A $3.6\%$ Constraint on $H_0$ from Galaxy Surveys, CMB Lensing and Supernovae

Full-shape BOSS constraints on dark matter interacting with dark radiation and lifting the S8 tension

Self-interacting neutrinos in light of large-scale structure data

BOSS Constraints on Massive Particles during Inflation: The Cosmological
  Collider in Action

Neutrino Mass Constraint from an Implicit Likelihood Analysis of BOSS Voids

Suppression without Thawing: Constraining Structure Formation and Dark
  Energy with Galaxy Clustering


A selection of state-of-the-art research materials on trajectory prediction

A survey on motion prediction and risk assessment for intelligent vehicles

Learning Social Etiquette: Human Trajectory Understanding In Crowded Scenes

Context-Based Pedestrian Path Prediction

Multipolicy decision-making for autonomous driving via changepoint-based behavior prediction: Theory and experiment

Learning Collective Crowd Behaviors with Dynamic Pedestrian-Agents

Context-Based Path Prediction for Targets with Switching Dynamics

International Journal of Computer Vision

Walking Ahead: The Headed Social Force Model

BRVO: Predicting pedestrian trajectories using velocity-space reasoning

The International Journal of Robotics Research

Group LSTM: Group Trajectory Prediction in Crowded Scenarios

Survey on Vision-based Path Prediction


PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)

Deep Learning on Graphs: A Survey

Meta Propagation Networks for Graph Few-shot Semi-supervised Learning

Compact Graph Structure Learning via Mutual Information Compression

Learning Strong Graph Neural Networks with Weak Information

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

A Generalized Neural Diffusion Framework on Graphs

Robust Graph Representation Learning for Local Corruption Recovery

Learning Invariant Representations of Graph Neural Networks via Cluster Generalization

Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication

All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks


序列模式挖掘相关研究

NetNMSP: Nonoverlapping maximal sequential pattern mining

Applied intelligence (Dordrecht, Netherlands)

Top-k Self-Adaptive Contrast Sequential Pattern Mining

NTP-Miner: Nonoverlapping Three-Way Sequential Pattern Mining

ACM Transactions on Knowledge Discovery from Data

OWSP-Miner: Self-adaptive One-off Weak-gap Strong Pattern Mining

ACM Transactions on Management Information Systems

OPP-Miner: Order-Preserving Sequential Pattern Mining for Time Series

Maximal co-occurrence nonoverlapping sequential rule mining

RNP-Miner: Repetitive Nonoverlapping Sequential Pattern Mining

OPP-Miner: Order-preserving sequential pattern mining


Differentially Private Federated Learning on Heterogeneous Data

Federated Optimization in Heterogeneous Networks

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification


BCP-MAPF – branch-and-cut-and-price for multi-agent path finding

Priority Inheritance with Backtracking for Iterative Multi-agent Path Finding

Improving LaCAM for Scalable Eventually Optimal Multi-Agent Pathfinding

Tracking Progress in Multi-Agent Path Finding


A Survey on Homomorphic Encryption Schemes: Theory and Implementation

ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction

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

Deep Neural Networks Classification over Encrypted Data

PROCEEDINGS OF THE NINTH ACM CONFERENCE ON DATA AND APPLICATION SECURITY AND PRIVACY (CODASPY '19)

Faster Secure Data Mining via Distributed Homomorphic Encryption


Order-N orbital-free density-functional calculations with machine
  learning of functional derivatives for semiconductors and metals

Structural stability and energy levels of carbon-related defects in amorphous SiO2 and its interface with SiC

Unfolding energy spectra of multi-periodicity materials

Microscopic Mechanisms of Initial Formation Process of Graphene on SiC(0001) Surfaces: Selective Si Desorption from Step Edges

Analysis of single and composite structural defects in pure amorphous silicon: A first-principles study

First-Principles Prediction of Densities of Amorphous Materials: The Case of Amorphous Silicon

Journal of the Physical Society of Japan

A precaution for the hybrid density functional calculation of open-shell systems

Mechanisms of initial oxidation of 4H-SiC (0001) and (0001̅) surfaces unraveled by first-principles calculations


A dataset and evaluation scheme to provide an straightforward manner to compare the performance of different non-stationary video based fire detectors.

LW-FIRE: A Lightweight Wildfire Image Classification with a Deep Convolutional Neural Network

Non-stationary VFD Evaluation Kit: Dataset and Metrics to Fuel Video-Based Fire Detection Development

A Two-Stream CNN Model with Adaptive Adjustment of Receptive Field Dedicated to Flame Region Detection


Official PyTorch implementation of "Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data"

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Multi-Space Alignments Towards Universal LiDAR Segmentation


Variational inference and disentangled representations through unsupervised learning

beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework

International Conference on Learning Representations

Stochastic Gradient VB and the Variational Auto-Encoder

Disentangling by Factorising

Isolating Sources of Disentanglement in Variational Autoencoders

Understanding disentangling in β-VAE

Variational Inference of Disentangled Latent Concepts from Unlabeled Observations

A Framework for the Quantitative Evaluation of Disentangled Representations

Learning Deep Disentangled Embeddings with the F-Statistic Loss


Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"

La-MAML: Look-ahead Meta Learning for Continual Learning

Learning where to learn: Gradient sparsity in meta and continual learning

DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning

Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation


Intrusion Detection Using Mouse Dynamics

A Review of Insider Threat Detection Approaches With IoT Perspective

Intelligent Techniques for Detecting Network Attacks: Review and Research Directions

Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication

Machine Learning and Knowledge Extraction

Mouse Dynamics Behavioral Biometrics: A Survey

A Generic AI-Based Technique for Assessing Student Performance in Conducting Online Virtual and Remote Controlled Laboratories

ReMouse Dataset: On the Efficacy of Measuring the Similarity of Human-Generated Trajectories for the Detection of Session-Replay Bots

Design and Implementation of Continuous Authentication Mechanism Based on Multimodal Fusion Mechanism


X-ray spectral timing in Python

Light bending and X-ray echoes from behind a supermassive black hole

Revealing structure and evolution within the corona of the Seyfert galaxy I Zw 1

Monthly Notices of the Royal Astronomical Society

Low-frequency X-ray timing with Gaussian processes and reverberation in the radio-loud AGN 3C 120

Monthly notices of the Royal Astronomical Society

Discovery of soft and hard X-ray time lags in low-mass AGNs

X-Ray Reverberation Mapping of Ark 564 Using Gaussian Process Regression

X-Ray/UVOIR Frequency-resolved Time Lag Analysis of Mrk 335 Reveals Accretion Disk Reprocessing


A reimplementation of LastPyMile: A Python-based library to Identify the differences between build artifacts of PyPI packages and the respective source code repository

Backstabber's Knife Collection: A Review of Open Source Software Supply Chain Attacks

LastPyMile: identifying the discrepancy between sources and packages

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21)

Towards Using Source Code Repositories to Identify Software Supply Chain Attacks

Conference on Computer and Communications Security


We collected awesome medical image super-resolution (SR) methods and common benchmarks in this repository.

LRTV: MR Image Super-Resolution With Low-Rank and Total Variation Regularizations

Super-resolution in magnetic resonance imaging: A review

MRI Super-Resolution With Ensemble Learning and Complementary Priors

IEEE Transactions on Computational Imaging

Super-Resolution PET Imaging Using Convolutional Neural Networks

IEEE transactions on computational imaging

Lumbar Spine MRI Dataset


This repo in the implementation of EMNLP'21 paper "SPARQLing Database Queries from Intermediate Question Decompositions" by Irina Saparina, Anton Osokin

Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

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

Break It Down: A Question Understanding Benchmark


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

The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings

Improved Random Features for Dot Product Kernels

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


Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"

Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces

FGOT: Graph Distances based on Filters and Optimal Transport


Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations

PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation

CUTS: Neural Causal Discovery from Irregular Time-Series Data

Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders

KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy

Graph-based Virtual Sensing from Sparse and Partial Multivariate
  Observations


Forward and inverse problems in asteroseismology

FUNDAMENTAL PARAMETERS OF MAIN-SEQUENCE STARS IN AN INSTANT WITH MACHINE LEARNING

Stellar Parameters in an Instant with Machine Learning - Application to Kepler LEGACY Targets

Relevance of the small frequency separation for asteroseismic stellar age, mass, and radius. A statistical investigation for main-sequence low-mass stars

Inverse Problems in Asteroseismology


The official implementation of our NAACL 2024 paper "A Wolf in Sheep’s Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily".

Universal and Transferable Adversarial Attacks on Aligned Language Models

AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models

A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily


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

Adversarial Training for Aspect-Based Sentiment Analysis with BERT

Improving BERT Performance for Aspect-Based Sentiment Analysis

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


An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.

Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities

CNN-based sensor fusion techniques for multimodal human activity recognition

PROCEEDINGS OF THE 2017 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (ISWC 17)

A multibranch CNN-BiLSTM model for human activity recognition using wearable sensor data

A Survey on Deep Learning for Human Activity Recognition

ClusterFL: a similarity-aware federated learning system for human activity recognition

International Conference on Mobile Systems, Applications, and Services

Using electrodermal activity to recognize ease of engagement in children during social interactions

AROMA

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

A probabilistic ontological framework for the recognition of multilevel human activities

A Systematic Study of Unsupervised Domain Adaptation for Robust Human-Activity Recognition

Masked reconstruction based self-supervision for human activity recognition

International Workshop on the Semantic Web


Official implementation of paper Deep Feature Rotation for Multimodal Image Style Transfer [2021 8th NAFOSTED Conference on Information and Computer Science]

A Neural Algorithm of Artistic Style

Neural Style Transfer: A Review

Demystifying Neural Style Transfer

DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer

National Foundation for Science and Technology Development Conference on Information and Computer Science

Image Style Transfer and Content-Style Disentanglement


A High-level Library for Named Entity Recognition in Python.

Attention Is All You Need

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

Adaptive Fine-Tuning of Transformer-Based Language Models for Named Entity Recognition

nerblackbox: A High-level Library for Named Entity Recognition in Python


Adapting Pretrained Language Models for Solving Tabular Prediction Problems in the Electronic Health Record

MementoML: Performance of selected machine learning algorithm configurations on OpenML100 datasets

Consolidated learning -- a domain-specific model-free optimization strategy with examples for XGBoost and MIMIC-IV


The implementation of our paper Fed-TDA

Generative Models for Effective ML on Private, Decentralized Datasets

FedMix: Approximation of Mixup under Mean Augmented Federated Learning

Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data

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


Software Language Processing Suite

Guided Grammar Convergence

Supporting Meta-model-based Language Evolution and Rapid Prototyping
  with Automated Grammar Optimization