[WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"

A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications

Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders


The repo for In-context Autoencoder

In-context Autoencoder for Context Compression in a Large Language Model

Efficient Prompting Methods for Large Language Models: A Survey

SelfCP: Compressing over-limit prompt via the frozen large language model itself

Unifying Demonstration Selection and Compression for In-Context Learning

Retaining Key Information under High Compression Ratios: Query-Guided
  Compressor for LLMs


FLOPs calculator with tf.profiler for neural network architecture written in tensorflow 2.2+ (tf.keras)

Trustworthy Privacy-Preserving Hierarchical Ensemble and Federated Learning in Healthcare 4.0 With Blockchain

IEEE Transactions on Industrial Informatics

Energy Efficiency of Training Neural Network Architectures: An Empirical Study

Patching Weak Convolutional Neural Network Models through Modularization and Composition

Contrastive encoder pre-training-based clustered federated learning for heterogeneous data

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

A Safe Genetic Algorithm Approach for Energy Efficient Federated Learning in Wireless Communication Networks

Reusing Convolutional Neural Network Models through Modularization and Composition

A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks


Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems

Supervised Permutation Invariant Networks for Solving the CVRP with Bounded Fleet Size

Routing Arena: A Benchmark Suite for Neural Routing Solvers


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

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

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

Evaluating Factual Consistency of Texts with Semantic Role Labeling


Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning

Temporal Difference Learning for Model Predictive Control

Simplified Temporal Consistency Reinforcement Learning


Multilingual AMR Parsing with Noisy Knowledge Distillation

Multilingual Abstract Meaning Representation for Celtic Languages

Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation

Cultural Adaptation of Recipes


Unsupervised speech enhancement using DVAEs

Unsupervised Speech Enhancement Using Dynamical Variational Autoencoders

MetricGAN-U: Unsupervised speech enhancement/ dereverberation based only on noisy/ reverberated speech

Audio-visual speech enhancement with a deep Kalman filter generative model

Unsupervised speech enhancement with diffusion-based generative models


kmerfreq count K-mer (with size K) frequency from the input sequence data, typically sequencing reads data, and refe rence genome data is also applicable.  Kmerferq output file can be used as input file of either version of GCE (Genomic character estimator).

Whole-genome sequencing reveals sex determination and liver high-fat storage mechanisms of yellowstripe goby (Mugilogobius chulae)

Estimation of genome size using k-mer frequencies from corrected long reads

Draft Genome Assembly of Floccularia luteovirens, an Edible and Symbiotic Mushroom on Qinghai-Tibet Plateau

The Molecular Mechanism of Yellow Mushroom (Floccularia luteovirens) Response to Strong Ultraviolet Radiation on the Qinghai-Tibet Plateau


SciGen

Explaining Relationships Between Scientific Documents

Automatic Related Work Generation: A Meta Study

Prompting Strategies for Citation Classification

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management

Related Work and Citation Text Generation: A Survey


Debiasing Pre-trained Contextualised Embeddings

Benchmarking Intersectional Biases in NLP

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

Debiasing isn't enough! -- On the Effectiveness of Debiasing MLMs and their Social Biases in Downstream Tasks


Brain Tomur Classification Using Pre-trained Models

Deep Residual Learning for Image Recognition


Source code of "IJCAI20 - Network Schema Preserving Heterogeneous Information Network Embedding"

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

Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network

A Post-Training Framework for Improving Heterogeneous Graph Neural Networks

B2-Sampling: Fusing Balanced and Biased Sampling for Graph Contrastive Learning

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

Personalised Meta-path Generation for Heterogeneous GNNs


Tree House Explorer (THEx) is a novel genome browser for exploring phylogenetic and genomic data in one succinct place.

ETE 3: Reconstruction, Analysis, and Visualization of Phylogenomic Data

GHOST: Recovering Historical Signal from Heterotachously-evolved Sequence Alignments

Radiation with reticulation marks the origin of a major malaria vector

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

Tree House Explorer: A Novel Genome Browser for Phylogenomics


A Survey of Machine Unlearning

DeltaGrad: Rapid retraining of machine learning models

Certifiable Machine Unlearning for Linear Models

Learn to Unlearn: A Survey on Machine Unlearning


Multimodal SuperCon: Classifier for Drivers of Deforestation in Indonesia

ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery

Rotation Equivariant Deforestation Segmentation and Driver Classification

Multimodal SuperCon: classifier for drivers of deforestation in Indonesia


Python Advanced Differential Evolution

The importance of being constrained: dealing with infeasible solutions in Differential Evolution and beyond

Learning How to Optimize Black-Box Functions With Extreme Limits on the Number of Function Evaluations

B2Opt: Learning to Optimize Black-box Optimization with Little Budget

GLHF: General Learned Evolutionary Algorithm Via Hyper Functions


Dual Sparse Attention Network For Session-based Recommendation

THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network

Social-aware Sparse Attention Network for Session-based Social Recommendation

Findings of the Association for Computational Linguistics: EMNLP 2022


fast randomized SVD and its application to SVT algorithm

Faster Matrix Completion Using Randomized SVD

Randomized algorithms for fast computation of low rank tensor ring model

Machine Learning: Science and Technology

Efficient Model-Based Collaborative Filtering with Fast Adaptive PCA


This repository contains the collection of UCI (real-life) datasets and Synthetic (artificial) datasets (with cluster labels and MATLAB files) ready to use with clustering algorithms.

FREDPC: A Feasible Residual Error-Based Density Peak Clustering Algorithm With the Fragment Merging Strategy

A novel density deviation multi-peaks automatic clustering algorithm

Grid-Based Clustering Using Boundary Detection


Detecting somatic mutations and predicting tumor-specific neo-antigens

TSNAD: an integrated software for cancer somatic mutation and tumour-specific neoantigen detection

Main Strategies for the Identification of Neoantigens

Computational cancer neoantigen prediction: current status and recent advances

TSNAD v2.0: A one-stop software solution for tumor-specific neoantigen detection

Computational and structural biotechnology journal


Open-source software for computing the basin stability of multi-stable dynamical systems

bSTAB: an open-source software for computing the basin stability of multi-stable dynamical systems

Spatially localized vibrations in a rotor subjected to flutter

The Basin Stability of Bi-Stable Friction-Excited Oscillators


Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging

Exploring the Benefits of Training Expert Language Models over Instruction Tuning

Personalized Language Modeling from Personalized Human Feedback


LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation

CEIL: Generalized Contextual Imitation Learning

CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning

Theoretical Analysis of Offline Imitation With Supplementary Dataset


Code for Gaussian Score Matching Variational Inference

Automatic Differentiation Variational Inference

Pathfinder: Parallel quasi-Newton variational inference

Variational Inference with Gaussian Score Matching

Batch and match: black-box variational inference with a score-based
  divergence


NN-EMD framework: efficiently training neural networks using encrypted multi-sourced datasets

CryptoNN: Training Neural Networks over Encrypted Data

Privacy-Preserving Machine Learning: Methods, Challenges and Directions

NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-Sourced Datasets


A hybrid DNN–LSTM model for detecting phishing URLs

Detecting Phishing Sites -- An Overview

Mitigating Adversarial Gray-Box Attacks Against Phishing Detectors

IEEE Transactions on Dependable and Secure Computing

Recent Advancements in Machine Learning for Cybercrime Prediction


Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents

ComFact: A Benchmark for Linking Contextual Commonsense Knowledge

Can Large Language Models be Good Emotional Supporter? Mitigating
  Preference Bias on Emotional Support Conversation


RL Dresden Algorithm Suite

Spatial-temporal recurrent reinforcement learning for autonomous ships

2-Level Reinforcement Learning for Ships on Inland Waterways

Robust Path Following on Rivers Using Bootstrapped Reinforcement Learning

Addressing Maximization Bias in Reinforcement Learning with Two-Sample Testing


⚡ FastMLST: A multi-core tool for multilocus sequence typing of draft genome assemblies

Antimicrobial resistance and population genomics of multidrug-resistant Escherichia coli in pig farms in mainland China

FastMLST: A Multi-core Tool for Multilocus Sequence Typing of Draft Genome Assemblies

Intra-species diversity of Clostridium perfringens: A diverse genetic repertoire reveals its pathogenic potential

First Pangenome of Corynebacterium rouxii, a Potentially Toxigenic Species of Corynebacterium diphtheriae Complex

Prevalence and Genetic Characterization of Methicillin-Resistant Staphylococcus aureus Isolated from Pigs in Japan


A genome binning method for contig binning, based on semi-supervised spectral clustering method.

SolidBin: improving metagenome binning with semi-supervised normalized cut

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

RepBin: Constraint-based Graph Representation Learning for Metagenomic Binning


Source code of "Reasons to Reject? Aligning Language Models with Judgments"

LoRA: Low-Rank Adaptation of Large Language Models

Platypus: Quick, Cheap, and Powerful Refinement of LLMs


Project Asuna is a scalable, brand-ready, and open-source building management system. Built for research!

A new approach of moving average method in time series analysis

2013 INTERNATIONAL CONFERENCE ON NEW MEDIA STUDIES (CONMEDIA)

Agile Software Development: Methodologies and Trends

International Journal of Interactive Mobile Technologies (iJIM)

SCRUM model for agile methodology

International Conference on Computing, Communication and Automation

Coopetition in coworking-spaces: value creation and appropriation tensions in an entrepreneurial space

Adapting the scrum framework for agile project management in science: case study of a distributed research initiative

Solidarity as a byproduct of professional collaboration: Social support and trust in a coworking space

Cataloging GitHub Repositories

International Conference on Evaluation & Assessment in Software Engineering

Agile Scrum Issues at Large-Scale Distributed Projects

Research Anthology on Agile Software, Software Development, and Testing

Priorities of Coworking Space Operation Based on Comparison of the Hosts and Users’ Perspectives

Scrum


The Soft/Hard Inference through Classification tool for detecting hard and soft selective sweeps

S/HIC: Robust Identification of Soft and Hard Sweeps Using Machine Learning

Soft Sweeps Are the Dominant Mode of Adaptation in the Human Genome

The Quest for Genes Involved in Adaptation to Climate Change in Ruminant Livestock

Animals : an open access journal from MDPI

Genomic regions linked to soft sweeps approximate neutrality when inferring population history from site pattern frequencies


This project aims to build upon existing MGTBench project, extending its functionalities with the option to import and evaluate the benchmark on custom datasets and with custom MGTD methods.

MGTBench: Benchmarking Machine-Generated Text Detection

Authorship Obfuscation in Multilingual Machine-Generated Text Detection

KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual
  Machine-Generated Text Detection

IMGTB: A Framework for Machine-Generated Text Detection Benchmarking

L3i++ at SemEval-2024 Task 8: Can Fine-tuned Large Language Model Detect Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text?

International Workshop on Semantic Evaluation


Implementing and summarizing interesting research papers in Machine Learning and Neural Network domain.

Attention Is All You Need

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

Neural Machine Translation by Jointly Learning to Align and Translate

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Effective Approaches to Attention-based Neural Machine Translation

Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding


Self-Supervised MRI Reconstruction

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Self‐supervised learning of physics‐guided reconstruction neural networks without fully sampled reference data

Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition


Domain-Independent Dynamic Programming (DIDP) framework implemented in Rust.

Domain-Independent Dynamic Programming: Generic State Space Search for Combinatorial Optimization


Code and data of multiscale Ulva model


Revisiting Grid-Forming and Grid-Following Inverters: A Duality Theory

Participation Analysis in Impedance Models: The Grey-Box Approach for Power System Stability

Impedance-Based Root-Cause Analysis: Comparative Study of Impedance Models and Calculation of Eigenvalue Sensitivity

Mapping of Dynamics Between Mechanical and Electrical Ports in SG-IBR Composite Grids

The Intrinsic Communication in Power Systems: A New Perspective to Understand Synchronization Stability

Whole-System First-Swing Stability of Inverter-Based Inertia-Free Power Systems


MAFAND-MT

A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation

AfriTeVA: Extending ?Small Data? Pretraining Approaches to Sequence-to-Sequence Models

Workshop on Deep Learning Approaches for Low-Resource Natural Language Processing

Cheetah: Natural Language Generation for 517 African Languages

Kreyòl-MT: Building MT for Latin American, Caribbean and Colonial African Creole Languages

HaVQA: A Dataset for Visual Question Answering and Multimodal Research in Hausa Language


RISC-V Supervisor Binary Interface (RISC-V SBI) implementation in Rust; runs on M-mode; good support for embedded Rust ecosystem


Code for GaiaUnlimited Gaia selection function tools

Improving the open cluster census

An empirical model of the Gaia DR3 selection function

Estimating the selection function of Gaia DR3 subsamples

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

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

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


RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds

SinGAN: Learning a Generative Model from a Single Natural Image

Contrastive Learning for Compact Single Image Dehazing

Edge-labeling Graph Neural Network for Few-shot Learning

Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning

Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification

LatticeNet: Towards Lightweight Image Super-Resolution with Lattice Block

Distilling Image Dehazing With Heterogeneous Task Imitation

Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation

International Conference on Computer Vision

Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud


Character-level Convolutional Networks for Text Classification

Making Pre-trained Language Models Better Few-shot Learners

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

Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts


A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges

Aspect Sentiment Quad Prediction as Paraphrase Generation

Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis

Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction


C. Hocquette and A. Cropper, Relational program synthesis with numerical reasoning, AAAI23.

Inductive logic programming at 30: a new introduction

Learning programs with magic values


Foundation models based medical image analysis

Generating Radiology Reports via Memory-driven Transformer

Automated Radiology Report Generation: A Review of Recent Advances

Pre-training on High Definition X-ray Images: An Experimental Study


The implementation the paper 'Learning Deep Latent Spaces for Multi-Label Classifications' in AAAI 2017

Reconstruction Regularized Deep Metric Learning for Multi-Label Image Classification


[ICCV'19] WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object Detection

Weakly Supervised Deep Detection Networks

Multiple Instance Detection Network with Online Instance Classifier Refinement

WSOD2: Learning Bottom-Up and Top-Down Objectness Distillation for Weakly-Supervised Object Detection


Explainable Security in SDN-Based IoT Networks

A Novel SDN Dataset for Intrusion Detection in IoT Networks

Conference on Network and Service Management

Review of Botnet Attack Detection in SDN-Enabled IoT Using Machine Learning


state-of-the-art gaze tracking model

MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation

It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation

RT-GENE: Real-Time Eye Gaze Estimation in Natural Environments

Few-Shot Adaptive Gaze Estimation

Learning to Find Eye Region Landmarks for Remote Gaze Estimation in Unconstrained Settings

Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications

Appearance-Based Gaze Estimation Using Dilated-Convolutions

Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis

Learning to Personalize in Appearance-Based Gaze Tracking

Offset Calibration for Appearance-Based Gaze Estimation via Gaze Decomposition


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

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

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

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


Taxi Traffic Speed/Flow Prediction Benchmark(based on Shanghai Taxi Dataset)

Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

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

Graph WaveNet for Deep Spatial-Temporal Graph Modeling


t-SMILES: a fragment-based molecular representation framework for de novo ligand design

t-SMILES: A Scalable Fragment-based Molecular Representation Framework for De Novo Molecule Generation


[ICASSP 2024] The official repo for Harnessing the Power of Large Vision Language Models for Synthetic Image Detection

Towards the Detection of Diffusion Model Deepfakes

Bi-LORA: A Vision-Language Approach for Synthetic Image Detection


Code of GAMLP for Open Graph Benchmark. KDD‘22

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

Graph Attention Multi-Layer Perceptron

SCR: Training Graph Neural Networks with Consistency Regularization


Unofficial implementation of EfficientAD https://arxiv.org/abs/2303.14535

EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies

Supervised Anomaly Detection for Complex Industrial Images


Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval

CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval

MDMMT: Multidomain Multimodal Transformer for Video Retrieval


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

Inverse Design of Next-generation Superconductors Using Data-driven Deep Generative Models

3DSC - a dataset of superconductors including crystal structures

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


Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"

International Conference on Learning Representations

Relating Adversarially Robust Generalization to Flat Minima

Self-Ensemble Adversarial Training for Improved Robustness

Adversarial Robustness with Semi-Infinite Constrained Learning

A Unified Wasserstein Distributional Robustness Framework for Adversarial Training

A2: Efficient Automated Attacker for Boosting Adversarial Training

SOAR: Second-Order Adversarial Regularization

One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training

Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning

IEEE Transactions on Information Forensics and Security

Advancing Adversarial Training by Injecting Booster Signal

IEEE transactions on neural networks and learning systems


The tRNA adaptation index

Variation and selection on codon usage bias across an entire subphylum

Biased Mutation and Selection in RNA Viruses

An improved estimation of tRNA expression to better elucidate the coevolution between tRNA abundance and codon usage in bacteria

ΦX174 Attenuation by Whole Genome Codon Deoptimization

Codon-usage optimization in the prokaryotic tree of life: How synonymous codons are differentially selected in sequence domains with different expression levels and degrees of conservation

Evolution and codon usage bias of mitochondrial and nuclear genomes in Aspergillus section Flavi

Interplay between Position-Dependent Codon Usage Bias and Hydrogen Bonding at the 5ʹ End of ORFeomes

Codon usage bias in prokaryotic genomes and environmental adaptation


Source Code of DNGR

A Comprehensive Survey on Graph Neural Networks

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

A Survey on Network Embedding

Network Representation Learning: A Survey

Graph-based Semi-supervised Learning: A Comprehensive Review

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

Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering


YAGCloser: Yet-Another-Gap-Closer based on spanning of long reads.

Reference Genome Assembly of the Big Berry Manzanita (Arctostaphylos glauca)

A Draft Reference Genome Assembly of the Critically Endangered Black Abalone, Haliotis cracherodii

Reference genome for the American rubyspot damselfly, Hetaerina americana

De novo assembly of a chromosome-level reference genome for the California Scrub-Jay, Aphelocoma californica

A chromosome-level reference genome for the giant pink sea star, Pisaster brevispinus, a species severely impacted by wasting

Whole-genome sequence and assembly of the Javan gibbon (Hylobates moloch)

Reference Genome of the Black Surfperch, Embiotoca jacksoni (Embiotocidae, Perciformes), a California Kelp Forest Fish That Lacks a Pelagic Larval Stage

A genome assembly for the southern Pacific rattlesnake, Crotalus oreganus helleri, in the western rattlesnake species complex

A draft reference genome assembly of the Pipevine Swallowtail butterfly, Battus philenor hirsuta

A genome assembly of the Yuma myotis bat, Myotis yumanensis


An encoder-decoder framework for learning from incomplete data

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

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


The released codes for ACL 2021 paper 'BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data'

Personalized Dialogue Generation with Diversified Traits

Large Language Models Meet Harry Potter: A Bilingual Dataset for Aligning Dialogue Agents with Characters

SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation


Supervised Contrastive Learning

SimCSE: Simple Contrastive Learning of Sentence Embeddings

SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations


The code of paper ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs. Zhanqiu Zhang, Jie Wang, Jiajun Chen, Shuiwang Ji, Feng Wu. NeurIPS 2021.

Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction

Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion

TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph

FLEX: Feature-Logic Embedding Framework for CompleX Knowledge Graph Reasoning


Calculate fastq reads and sequencing coverage

Salmonella Derby: A Comparative Genomic Analysis of Strains From Germany

Comparative Genomic Analysis of Antimicrobial-Resistant Escherichia coli from South American Camelids in Central Germany

Draft Genome Sequences of Multidrug-Resistant Shigella Strains Isolated from Diarrheal Patients in Bangladesh

Epidemiological Analysis on the Occurrence of Salmonella enterica Subspecies enterica Serovar Dublin in the German Federal State Schleswig-Holstein Using Whole-Genome Sequencing


Code for Paper (ReMax: A Simple, Efficient and Effective Reinforcement Learning Method for Aligning Large Language Models)

ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models

Adam-mini: Use Fewer Learning Rates To Gain More


Episode-based Prototype Generating Network for Zero-Shot Learning

Multimodality in Meta-Learning: A Comprehensive Survey

Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning


Source code for the IJCNN2024 paper titled "Multi-Objective Optimization for Sparse Deep Multi-Task Learning"

Multi-Task Learning as Multi-Objective Optimization

End-to-End Multi-Task Learning with Attention

Knowledge Distillation for Multi-task Learning


The project for speech translation

CTC-based Non-autoregressive Speech Translation

Bridging the Granularity Gap for Acoustic Modeling


The implementation of our paper accepted by ACL 2023: CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation

Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements

Rational Sensibility: LLM Enhanced Empathetic Response Generation Guided by Self-presentation Theory


Heterogeneous graph attention network for semi-supervised short text classification (EMNLP 2019, TOIS 2021)

Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification

Simplified Graph Learning for Inductive Short Text Classification

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Quartet Logic: A Four-Step Reasoning (QLFR) framework for advancing Short Text Classification


OCR-VQGAN, a discrete image encoder (tokenizer and detokenizer) for figure images in Paper2Fig100k dataset. Implementation of OCR Perceptual loss for clear text-within-image generation. Fork from VQGAN in CompVis/taming-transformers

High-Resolution Image Synthesis with Latent Diffusion Models

Taming Transformers for High-Resolution Image Synthesis

Character Region Awareness for Text Detection

OCR-VQGAN: Taming Text-within-Image Generation

FigGen: Text to Scientific Figure Generation


In-Network Volumetric DDoS Victim Identification Using Programmable Commodity Switches

IEEE Transactions on Network and Service Management

P-IOTA: A Cloud-Based Geographically Distributed Threat Alert System That Leverages P4 and IOTA

Unleashing Dynamic Pipeline Reconfiguration of P4 Switches for Efficient Network Monitoring


Masked ConditionaL Neural Networks

Masked Conditional Neural Networks for Audio Classification

Masked Conditional Neural Networks for Environmental Sound Classification

Automatic Classification of Music Genre using Masked Conditional Neural Networks

Masked Conditional Neural Networks for Automatic Sound Events Recognition

International Conference on Data Science and Advanced Analytics

Environmental Sound Recognition Using Masked Conditional Neural Networks

Recognition of Acoustic Events Using Masked Conditional Neural Networks

International Conference on Machine Learning and Applications

Music Genre Classification Using Masked Conditional Neural Networks

NEURAL INFORMATION PROCESSING (ICONIP 2017), PT II


This repository contains example of keras-tcn on easy way.

WaveNet: A Generative Model for Raw Audio

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

Probabilistic Forecasting with Temporal Convolutional Neural Network


Data sets for multi-view learning.

Multi-View Multiple Clustering

Learning Autoencoders with Relational Regularization

Identifying and ranking potential driver genes of Alzheimer’s disease using multiview evidence aggregation

Multi-view Data Visualisation via Manifold Learning

Hierarchical Optimal Transport for Robust Multi-View Learning

An Ensemble and Multi-View Clustering Method Based on Kolmogorov Complexity

Joint Multi-View Collaborative Clustering

IEEE International Joint Conference on Neural Network

S-multi-SNE: Semi-Supervised Classification and Visualisation of Multi-View Data


Models Supported: Inception [v1, v2, v3, v4], SE-Inception, Inception_ResNet [v1, v2], SE-Inception_ResNet (1D and 2D version with DEMO for Classification and Regression)

Going Deeper with Convolutions

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Rethinking the Inception Architecture for Computer Vision

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


MEXPRESS is a data visualization tool designed for the visualization of TCGA expression, DNA methylation and clinical data.

MEXPRESS: visualizing expression, DNA methylation and clinical TCGA data

MEXPRESS update 2019

Multi-omics analyses of tumor-associated immune-infiltrating cells with the novel immune checkpoint protein tyrosine phosphatase 1B (PTP1B) in extracellular matrix of brain-lower-grade-glioma (LGG) and uveal-melanoma (UVM)


Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction

Counterfactual Learning on Graphs: A Survey

Counterfactual Graph Learning for Link Prediction.

Data Augmentation for Graph Data: Recent Advancements


Matlab functions to help with DVS calibration using the Caltech Camera Calibration Toolbox (from http://www.vision.caltech.edu/bouguetj/calib_doc/ )

How to Calibrate Your Event Camera

E-Calib: A Fast, Robust and Accurate Calibration Toolbox for Event Cameras


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

Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage

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

Graph Fairness Learning under Distribution Shifts

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

FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently

IEEE Transactions on Knowledge and Data Engineering

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


Communication-Efficient Learning of Deep Networks from Decentralized Data

FOCUS: Dealing with Label Quality Disparity in Federated Learning

A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning

Quality Inference in Federated Learning with Secure Aggregation

FedProf: Selective Federated Learning with Representation Profiling


MISTTBORN exoplanet fitting code, and various associated codes

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

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

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

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

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

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

Monthly notices of the Royal Astronomical Society

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

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

An Aligned Orbit for the Young Planet V1298 Tau b

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


Handling Information Loss of Graph Neural Networks for Session-based Recommendation

A Survey on Session-based Recommender Systems

Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network

Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation

Proceedings of the 31st ACM International Conference on Information & Knowledge Management

Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation


Efficient Active Search

Neural Combinatorial Optimization with Reinforcement Learning

POMO: Policy Optimization with Multiple Optima for Reinforcement Learning

Efficient Active Search for Combinatorial Optimization Problems

Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization

Towards Omni-generalizable Neural Methods for Vehicle Routing Problems

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization


This is a curated list of awesome ASV(Automatic Speaker Verification) Anti-Spoofing papers, libraries, datasets, and other resources.

The Catcher in the Field: A Fieldprint based Spoofing Detection for Text-Independent Speaker Verification

PROCEEDINGS OF THE 2019 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'19)

Countermeasures to Replay Attacks: A Review

Anti-spoofing Methods for Automatic SpeakerVerification System


HuMIdb dataset (Human Mobile Interaction database) characterizes the interaction of 600 users according to 14 sensors during normal human-mobile interactions in an unsupervised scenario with more than 300 different devices.

Smartphone Sensors for Modeling Human-Computer Interaction: General Outlook and Research Datasets for User Authentication

Mobile Behavioral Biometrics for Passive Authentication

BeCAPTCHA: Behavioral bot detection using touchscreen and mobile sensors benchmarked on HuMIdb

Techniques for Continuous Touch-Based Authentication Modeling


[ACL'24, Outstanding Paper] Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!

An Emulator for Fine-Tuning Large Language Models using Small Language Models

Tuning Language Models by Proxy


Making Pre-trained Language Models Better Few-shot Learners

Revisiting Self-Training for Few-Shot Learning of Language Model


"Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation

Multitask Active Learning for Graph Anomaly Detection


[NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)

Hyperbolic Graph Convolutional Neural Networks

Neural Manifold Ordinary Differential Equations

Riemannian Residual Neural Networks

Adaptive Log-Euclidean Metrics for SPD Matrix Learning


This is the second version of the practices for the rookies of BJTUNLPers.

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

Convolutional Neural Networks for Sentence Classification

Recurrent Neural Network Grammars

Enhanced LSTM for Natural Language Inference

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


GEOM: Energy-annotated molecular conformations for property prediction and molecular generation

Learning Gradient Fields for Molecular Conformation Generation

SE(3) Equivariant Graph Neural Networks with Complete Local Frames


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

PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation

Efficient Preference-based Reinforcement Learning via Aligned Experience Estimation


Code for the paper "The Surprising Computational Power of Nondeterministic Stack RNNs" (DuSell and Chiang, 2023)

Learning Context-Free Languages with Nondeterministic Stack RNNs

Learning Hierarchical Structures with Differentiable Nondeterministic Stacks


CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery

A Mixture of Surprises for Unsupervised Reinforcement Learning

Behavior Contrastive Learning for Unsupervised Skill Discovery

PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement
  Learning


A walkthrough of how to prune keras models, using both weight-pruning and unit/neuron-pruning.

Pruning Filters for Efficient ConvNets

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Pruning Convolutional Neural Networks for Resource Efficient Inference

Grassmannian Learning: Embedding Geometry Awareness in Shallow and Deep Learning


Compute Effort To Compress (ETC) using the NSRPS algorithm in Python

A new complexity measure for time series analysis and classification

The European Physical Journal Special Topics

Noise Reduction Method of Underwater Acoustic Signals Based on CEEMDAN, Effort-To-Compress Complexity, Refined Composite Multiscale Dispersion Entropy and Wavelet Threshold Denoising

Dynamical Complexity Of Short and Noisy Time Series

Transcranial Magnetic Stimulation Combined with EEG Reveals Covert States of Elevated Excitability in the Human Epileptic Brain

Aging and cardiovascular complexity: effect of the length of RR tachograms

Analysis of microvascular blood flow and oxygenation: Discrimination between two haemodynamic steady states using nonlinear measures and multiscale analysis

Data based intervention approach for Complexity-Causality measure

Vagus Nerve Stimulation Modulates Complexity of Heart Rate Variability Differently during Sleep and Wakefulness

A novel perturbation based compression complexity measure for networks

Causal Discovery using Compression-Complexity Measures


A Pseudo Label based Dataless Naive Bayes Algorithm for Text Classification with Seed Words

International Conference on Computational Linguistics

Seed-Guided Deep Document Clustering

Weakly supervised prototype topic model with discriminative seed words: modifying the category prior by self-exploring supervised signals


Everything is Linkable

Root exudates and rhizosphere soil bacterial relationships of Nitraria tangutorum are linked to k-strategists bacterial community under salt stress

A comparison of microbial composition under three tree ecosystems using the stochastic process and network complexity approaches

The Gut Microbiota Determines the High-Altitude Adaptability of Tibetan Wild Asses (Equus kiang) in Qinghai-Tibet Plateau

Comparison of assembly process and co-occurrence pattern between planktonic and benthic microbial communities in the Bohai Sea

Effects of grazing intensity on diversity and composition of rhizosphere and non‐rhizosphere microbial communities in a desert grassland

Lessons from the diet: Captivity and sex shape the gut microbiota in an oviparous lizard (Calotes versicolor)

Microbial community roles and chemical mechanisms in the parasitic development of Orobanche cumana

The spatial patterns of diversity and their relationships with environments in rhizosphere microorganisms and host plants differ along elevational gradients

Improvement of Panax notoginseng saponin accumulation triggered by methyl jasmonate under arbuscular mycorrhizal fungi

Effects of Different Farming Modes on Salmo trutta fario Growth and Intestinal Microbial Community


R package for estimating copula entropy (mutual information), transfer entropy (conditional mutual information), and the statistic for multivariate normality test and two-sample test

Estimating Transfer Entropy via Copula Entropy

Variable Selection with Copula Entropy

Discovering Association with Copula Entropy

Predicting TUG score from gait characteristics with video analysis and machine learning

copent: Estimating Copula Entropy in R.

Predicting MMSE Score from Finger-Tapping Measurement

copent: Estimating Copula Entropy and Transfer Entropy in R

Associations between finger tapping, gait and fall risk with application to fall risk assessment


Code & Data for the paper "RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models"

Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies

Does Debiasing Inevitably Degrade the Model Performance


Deep neural networks learn general and clinically relevant representations of the ageing brain

Prediction of brain age using structural magnetic resonance imaging: A comparison of accuracy and test-retest reliability of publicly available software packages

Considerations on brain age predictions from repeatedly sampled data across time


The Odds are Odd: A Statistical Test for Detecting Adversarial Examples

A General Framework For Detecting Anomalous Inputs to DNN Classifiers

Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial Examples

Adversarial Examples Detection With Bayesian Neural Network


Formats Roary output for viewing in FriPan

Translating genomics into practice for real-time surveillance and response to carbapenemase-producing Enterobacteriaceae: evidence from a complex multi-institutional KPC outbreak

Whole-genome sequencing reveals transmission of gonococcal antibiotic resistance among men who have sex with men: an observational study


ACL 2022: Revisiting the Compositional Generalization Abilities of Neural Sequence Models

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

Human few-shot learning of compositional instructions


Simulating Neutron And X-ray Scans; a tool for condensed-matter scientists studying phonons using neutron scattering

Reinvestigation of crystal symmetry and fluctuations in La_2CuO_4

Phonon spectrum of underdoped HgBa_2CuO_4+δ
  investigated by neutron scattering


A paper list of the papers on ridesharing

Optimization for dynamic ride-sharing: A review

European Journal of Operational Research

Ridesharing: The state-of-the-art and future directions

Transportation Research Part B: Methodological

Route Planning in Transportation Networks

Vehicle Routing

Society for Industrial and Applied Mathematics eBooks

Dynamic pickup and delivery problems

T-share: A large-scale dynamic taxi ridesharing service

International Conference on Data Engineering

50th Anniversary Invited Article—City Logistics: Challenges and Opportunities

Visual Exploration of Big Spatio-Temporal Urban Data: A Study of New York City Taxi Trips

IEEE transactions on visualization and computer graphics

Traffic prediction in a bike-sharing system

Advances in Geographic Information Systems

A survey of dial-a-ride problems: Literature review and recent developments


[NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training

Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression

Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks

Corrupting Convolution-based Unlearnable Datasets with Pixel-based Image Transformations


Mixture-of-Adapters

LoRA: Low-Rank Adaptation of Large Language Models

Parameter-efficient Model Adaptation for Vision Transformers

Sparse Mixture-of-Experts are Domain Generalizable Learners

Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters


TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting

Reinforcement learning on graphs: A survey

Graph Hawkes Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Learning Latent Relations for Temporal Knowledge Graph Reasoning

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

Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement Learning


Bayesian active learning with EPIG data acquisition

Prediction-Oriented Bayesian Active Learning

Advancing Deep Active Learning & Data Subset Selection: Unifying Principles with Information-Theory Intuitions


A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.

Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text

Meeting of the Association for Computational Linguistics

Few-shot Anomaly Detection in Text with Deviation Learning

Out-of-Category Document Identification Using Target-Category Names as Weak Supervision


Scripts for downloading and pre-processing the `proof-pile`, a high quality dataset of mathematical text and code.

Extending Context Window of Large Language Models via Positional Interpolation

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling


Molecular Explanation Generator

Optimization of Molecules via Deep Reinforcement Learning

MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks

Counterfactual Learning on Graphs: A Survey

Explaining Deep Graph Networks with Molecular Counterfactuals


a deep learning tool for the classification of biological sequences

DeepACP: A Novel Computational Approach for Accurate Identification of Anticancer Peptides by Deep Learning Algorithm

autoBioSeqpy: A Deep Learning Tool for the Classification of Biological Sequences

Journal of chemical information and modeling

The applications of deep learning algorithms on in silico druggable proteins identification

DeepT3_4: A Hybrid Deep Neural Network Model for the Distinction Between Bacterial Type III and IV Secreted Effectors

Systematic Analysis and Accurate Identification of DNA N4-Methylcytosine Sites by Deep Learning

ACP-GBDT: An improved anticancer peptide identification method with gradient boosting decision tree

EnsembleDL-ATG: Identifying autophagy proteins by integrating their sequence and evolutionary information using an ensemble deep learning framework

Computational and structural biotechnology journal

Evaluation and development of deep neural networks for RNA 5-Methyluridine classifications using autoBioSeqpy

An Innovative Inducer of Platelet Production, Isochlorogenic Acid A, Is Uncovered through the Application of Deep Neural Networks


A tool for single-cell data analysis.

Self-supervised contrastive learning for integrative single cell RNA-seq data analysis

Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review

基因组蛋白质组与生物信息学报

Deep Learning in Single-Cell Analysis


A multimodal deep learning framework for predicting drug-drug interaction events

Advances of Artificial Intelligence in Anti-Cancer Drug Design: A Review of the Past Decade

Prediction of the Drug–Drug Interaction Types with the Unified Embedding Features from Drug Similarity Networks

Drug-drug interactions prediction based on deep learning and knowledge graph: A review


AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis

Improving Text-to-Image Synthesis Using Contrastive Learning


Collection of Paper Ranking method implementations

BIP4COVID19: Impact metrics and indicators for coronavirus related publications

Zenodo (CERN European Organization for Nuclear Research)


Reproducing the paper — Deep Short Text Classification with Knowledge Powered Attention

A Survey on Text Classification: From Shallow to Deep Learning

Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification


Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)

Federated Optimization in Heterogeneous Networks

Exploiting Shared Representations for Personalized Federated Learning

Adaptive Personalized Federated Learning

FedCache 2.0: Exploiting the Potential of Distilled Data in Knowledge Cache-driven Federated Learning


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

The State of Sparsity in Deep Neural Networks

Rigging the Lottery: Making All Tickets Winners

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

PDP: Parameter-free Differentiable Pruning is All You Need


Code for ICE-BeeM paper - NeurIPS 2020

Variational Autoencoders and Nonlinear ICA: A Unifying Framework

Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA

Flow Contrastive Estimation of Energy-Based Models

Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA

ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA

Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies

An Empirical Study on Disentanglement of Negative-free Contrastive Learning


TSPPD Test Instance Library

Exponential-Size Neighborhoods for the Pickup-and-Delivery Traveling Salesman Problem


Code and data of the EMNLP 2022 Main Conference paper "Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives".

Dense Passage Retrieval for Open-Domain Question Answering

Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup


Adversarial Deep Network Embedding for Cross-network Node Classification

Domain Adaptive Graph Infomax via Conditional Adversarial Networks

IEEE Transactions on Network Science and Engineering

Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy


NovelD: A Simple yet Effective Exploration Criterion

BeBold: Exploration Beyond the Boundary of Explored Regions

Exploration via Elliptical Episodic Bonuses

LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward


This is a sample implementation of "Billion-scale Network Embedding with Iterative Random Projection" (ICDM 2018).

Multiplex Heterogeneous Graph Convolutional Network

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

Subset Node Representation Learning over Large Dynamic Graphs

Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds

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


Optimised estimates of reproduction numbers over time, which extract more information from an incidence curve than many conventional approaches

Improved estimation of time-varying reproduction numbers at low case incidence and between epidemic waves

Real-time estimation of the epidemic reproduction number: Scoping review of the applications and challenges

Deciphering early-warning signals of SARS-CoV-2 elimination and resurgence from limited data at multiple scales


Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"

The Hidden Vulnerability of Distributed Learning in Byzantium

Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning

ScionFL: Efficient and Robust Secure Quantized Aggregation

FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders


Implementations of reinforcement learning algorithms

Searching for Programmatic Policies in Semantic Spaces

A Competition Winning Deep Reinforcement Learning Agent in microRTS


Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.

Reachability Constrained Reinforcement Learning

Joint Synthesis of Safety Certificate and Safe Control Policy using Constrained Reinforcement Learning

Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety

Mixed Policy Gradient

Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning


Processing and analysis of proteomics data

Reproducible workflow for multiplexed deep-scale proteome and phosphoproteome analysis of tumor tissues by liquid chromatography–mass spectrometry

Proteomic and phosphoproteomic landscapes of acute myeloid leukemia

Inflammatory osteolysis is regulated by site-specific ISGylation of the scaffold protein NEMO

Immune activation during Paenibacillus brain infection in African infants with frequent cytomegalovirus co-infection

Loss of KMT2C reprograms the epigenomic landscape in hPSCs resulting in NODAL overexpression and a failure of hemogenic endothelium specification

Protein Kinase Signaling Networks Driven by Oncogenic Gq/11 in Uveal Melanoma Identified by Phosphoproteomic and Bioinformatic Analyses

KDM6A knockout in human iPSCs alters the genome-wide histone methylation profile at active and poised enhancers, activating expression of ectoderm gene expression pathways


[PAKDD 2021] Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning

Graph Self-Supervised Learning: A Survey

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

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

Graph InfoClust: Maximizing Coarse-Grain Mutual Information in Graphs

Pacific-Asia Conference on Knowledge Discovery and Data Mining

HeMI: Multi-view Embedding in Heterogeneous Graphs


[CVPR 2024 Highlight] OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

HALC: Object Hallucination Reduction via Adaptive Focal-Contrast
  Decoding


R implementation of MULTI-seq sample classification workflow

Single-cell analysis of the ventricular-subventricular zone reveals signatures of dorsal and ventral adult neurogenesis

RUNX1 marks a luminal castration resistant lineage established at the onset of prostate development

Rubella virus tropism and single-cell responses in human primary tissue and microglia-containing organoids

Patterning and folding of intestinal villi by active mesenchymal dewetting

bioRxiv : the preprint server for biology

High-throughput mapping of single-neuron projection and molecular features by retrograde barcoded labeling

Decoding spatiotemporal transcriptional dynamics and epithelial fibroblast crosstalk during gastroesophageal junction development through single cell analysis


A Data-Driven Graph Generative Model for Temporal Interaction Networks

DYMOND: DYnamic MOtif-NoDes Network Generative Model

Generating fine-grained surrogate temporal networks

Using Motif Transitions for Temporal Graph Generation

DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series


DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting

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

ADePT: Auto-encoder based Differentially Private Text Transformation

When differential privacy meets NLP: The devil is in the detail


Cross-view Supervised Learning

Predicting Ground-Level Scene Layout from Aerial Imagery

Cross-View Image Matching for Geo-localization in Urban Environments

Learning Cross-view Geo-localization Embeddings via Dynamic Weighted Decorrelation Regularization


On algorithms for and computing with the tensor ring decomposition

Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations

TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions


PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning

Adaptive Shortcut Debiasing for Online Continual Learning

PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer


predict stability change upon mutation

Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset

DDGun: an untrained predictor of protein stability changes upon amino acid variants

Correspondence between functional scores from deep mutational scans and predicted effects on protein stability

Systematically testing human HMBS missense variants to reveal mechanism and pathogenic variation


A Mashup Interface for Text Analysis Operations

A qualitative and quantitative analysis of open citations to retracted articles: the Wakefield et al.'s case

A quantitative and qualitative open citation analysis of retracted articles in the humanities

A protocol to gather, characterize and analyze incoming citations of retracted articles

MITAO: A User Friendly and Modular Software for Topic Modelling

MITAO: a tool for enabling scholars in the Humanities to use Topic Modelling in their studies


GIREMI is a method that can identify RNA editing sites using one RNA-seq data set without requiring genome sequence data.

SPRINT: an SNP-free toolkit for identifying RNA editing sites

A-to-I RNA Editing in Cancer: From Evaluating the Editing Level to Exploring the Editing Effects

Accurate identification of RNA editing sites from primitive sequence with deep neural networks

Analysis of RNA Editing Sites from RNA-Seq Data Using GIREMI

TRANSCRIPTOME DATA ANALYSIS: METHODS AND PROTOCOLS


codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"

Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization

Learning to Solve Routing Problems via Distributionally Robust Optimization

Efficient Neural Neighborhood Search for Pickup and Delivery Problems

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

Towards Omni-generalizable Neural Methods for Vehicle Routing Problems

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization

RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark

Continuation Path Learning for Homotopy Optimization

Routing Arena: A Benchmark Suite for Neural Routing Solvers


Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks

Automated Cleanup of the ImageNet Dataset by Model Consensus, Explainability and Confident Learning

Explainable Cost-Sensitive Deep Neural Networks for Brain Tumor Detection from Brain MRI Images considering Data Imbalance


A repository for the EMNLP 2021 paper "Is Information Density Uniform in Task-Oriented Dialogues?" and for the CoNLL 2021 paper "Analysing Human Strategies of Information Transmission as a Function of Discourse Context".

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

Proceedings of the 25th Conference on Computational Natural Language Learning

Construction Repetition Reduces Information Rate in Dialogue


An unofficial Pytorch implementation of SNGAN, achieving IS of 8.21 and FID of 14.21 on CIFAR-10.

Content-Aware GAN Compression

Hierarchical Sliced Wasserstein Distance

Amortized Projection Optimization for Sliced Wasserstein Generative Models

Backpropagating through Fréchet Inception Distance

Overcoming Mode Collapse with Adaptive Multi Adversarial Training

Markovian Sliced Wasserstein Distances: Beyond Independent Projections


On Tiny Episodic Memories in Continual Learning

Online Class-Incremental Continual Learning with Adversarial Shapley Value

Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning

A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal


Python program to calculate bolometric luminosities from astrophysical observations

The evolution of superluminous supernova LSQ14mo and its interacting host galaxy system

The Type II-plateau Supernova 2017eaw in NGC 6946 and Its Red Supergiant Progenitor

An extremely energetic supernova from a very massive star in a dense medium

An Early-time Optical and Ultraviolet Excess in the Type-Ic SN 2020oi

The Lowest of the Low: Discovery of SN 2019gsc and the Nature of Faint Iax Supernovae

SN 2020ank: a bright and fast-evolving H-deficient superluminous supernova

Monthly Notices of the Royal Astronomical Society

Progenitor, environment, and modelling of the interacting transient AT 2016jbu (Gaia16cfr)

Monthly notices of the Royal Astronomical Society

SN 2020wnt: a slow-evolving carbon-rich superluminous supernova with no O II lines and a bumpy light curve

A Systematic Study of Superluminous Supernova Light-curve Models Using Clustering

AT 2021loi: A Bowen Fluorescence Flare with a Rebrightening Episode Occurring in a Previously Known AGN


NASA Cleaned Defect Datasets

Software Defect Prediction Using Variant based Ensemble Learning and Feature Selection Techniques

International Journal of Modern Education and Computer Science

Software defect prediction using Binary Particle Swarm Optimization with Binary Cross Entropy as the fitness function

Dimensional Reduction on Cross Project Defect Prediction

Tackling Imbalanced Class on Cross-Project Defect Prediction Using Ensemble SMOTE

IOP Conference Series: Materials Science and Engineering

Ensemble Undersampling to Handle Unbalanced Class on Cross-Project Defect Prediction

The Integrity of Machine Learning Algorithms against Software Defect Prediction

Penerapan PSO Over Sampling Dan Adaboost Random Forest Untuk Memprediksi Cacat Software

Indonesian Journal on Software Engineering (IJSE)

Optimizing Software Defect Prediction Models: Integrating Hybrid Grey Wolf and Particle Swarm Optimization for Enhanced Feature Selection with Popular Gradient Boosting Algorithm

Journal of Electronics, Electromedical Engineering, and Medical Informatics

Feature Selection in Cross-Project Software Defect Prediction


Support, annotation, evaluation, and baseline models for the imSitu dataset.

Situation Recognition: Visual Semantic Role Labeling for Image Understanding

Commonly Uncommon: Semantic Sparsity in Situation Recognition


A benchmark for the task of translation suggestion

WeTS: A Benchmark for Translation Suggestion

TSMind: Alibaba and Soochow University's Submission to the WMT22 Translation Suggestion Task

Easy Guided Decoding in Providing Suggestions for Interactive Machine Translation


[T-IFS] RNN-SM: Fast Steganalysis of VoIP Streams Using Recurrent Neural Network

IEEE Transactions on Information Forensics and Security

FCEM: A Novel Fast Correlation Extract Model For Real Time Steganalysis Of VoIP Stream Via Multi-Head Attention

Fast Steganalysis Method for VoIP Streams

Hierarchical Representation Network for Steganalysis of QIM Steganography in Low-Bit-Rate Speech Signals

Real-Time Steganalysis for Stream Media Based on Multi-channel Convolutional Sliding Windows

F3SNet: A Four-Step Strategy for QIM Steganalysis of Compressed Speech Based on Hierarchical Attention Network


On Faithfulness and Factuality in Abstractive Summarization

News Summarization and Evaluation in the Era of GPT-3

Annotating and Modeling Fine-grained Factuality in Summarization

Shortcomings of Question Answering Based Factuality Frameworks for Error Localization


MATLAB Programming for Virtual Element Methods

A lowest-order locking-free nonconforming virtual element method based on the reduced integration technique for linear elasticity problems

Implementation of Polygonal Mesh Refinement in MATLAB

mVEM: A MATLAB Software Package for the Virtual Element Methods


(NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data

Transfer Learning with Deep Tabular Models

Towards Cross-Table Masked Pretraining for Web Data Mining

UniTabE: Pretraining a Unified Tabular Encoder for Heterogeneous Tabular Data

A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning

Learning Active Subspaces and Discovering Important Features with Gaussian Radial Basis Functions Neural Networks

Tabdoor: Backdoor Vulnerabilities in Transformer-based Neural Networks for Tabular Data

Tabular Data: Is Attention All You Need?


LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023 DB Track)

Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook


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

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

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

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

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

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


PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"

On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder

Confidence-Based Feature Imputation for Graphs with Partially Known Features


EfficientNet-Absolute Zero for Continuous Speech Keyword Spotting

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Deep Residual Learning for Small-Footprint Keyword Spotting


Microbial Genome Circular plotting tool for comparative genomics using Circos

Division of labor within psyllids: metagenomics reveals an ancient dual endosymbiosis with metabolic complementarity in the genus Cacopsylla

Chimaeribacter arupi a new member of the Yersineacea family has the characteristics of a human pathogen

Frontiers in cellular and infection microbiology


Tutorials and updated codes for the research paper: 'Siamese Earthquake Transformer: A pair-input deep-learning model for earthquake detection and phase picking on a seismic array.'

Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking

Rapid Earthquake Association and Location

Siamese Earthquake Transformer: A Pair‐Input Deep‐Learning Model for Earthquake Detection and Phase Picking on a Seismic Array

Journal of Geophysical Research: Solid Earth


Entropy estimator

Minimax Rates of Entropy Estimation on Large Alphabets via Best Polynomial Approximation

INSPECTRE: Privately Estimating the Unseen

Efficient Bayesian network structure learning via local Markov boundary search

Neural Joint Entropy Estimation

Statistical Inference in the Differential Privacy Model


BNNs (XNOR, BNN and DoReFa) implementation for PyTorch 1.0+

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

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

CoopNet: Cooperative Convolutional Neural Network for Low-Power MCUs

International Conference on Electronics, Circuits, and Systems

TentacleNet: A Pseudo-Ensemble Template for Accurate Binary Convolutional Neural Networks


Pytorch Implementation of DOLG (ICCV 2021)

DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features


RCandy:  an R package for visualising homologous recombination events in bacterial genomes

Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins

Detection of recombination events in bacterial genomes from large population samples

International genomic definition of pneumococcal lineages, to contextualise disease, antibiotic resistance and vaccine impact


Codebase, data and models for the SummaC paper in TACL

SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization

TRUE: Re-evaluating Factual Consistency Evaluation

LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond

ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts

SummEdits: Measuring LLM Ability at Factual Reasoning Through The Lens of Summarization

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization

Revisiting text decomposition methods for NLI-based factuality scoring of summaries

Leveraging Summary Guidance on Medical Report Summarization

Aligning Factual Consistency for Clinical Studies Summarization through Reinforcement Learning

Proceedings of the 5th Clinical Natural Language Processing Workshop

Know Your Audience: The benefits and pitfalls of generating plain language summaries beyond the "general" audience


Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"

LiBRe: A Practical Bayesian Approach to Adversarial Detection

BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning

Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score


Unsupervised Enhancement of Soft-biometric Privacy with Negative Face Recognition

An Attack on Facial Soft-biometric Privacy Enhancement


Mapping and monitoring deep subglacial water activity in Antarctica using remote sensing and machine learning, with ICESat-2!


blandr: a Bland-Altman Method Comparison package for R

Telomere Length Calibration from qPCR Measurement: Limitations of Current Method

Artificial Intelligence-based Tumor Segmentation in Mouse Models of Lung Adenocarcinoma

Concordance between subjective and objective measures of infant sleep varies by age and maternal mood: Implications for studies of sleep and cognitive development

An Assessment of the Validity and Reliability of the Pediatric Child Health Utility 9D in Children with Inflammatory Bowel Disease

Comparison of Dual-Energy X-ray Absorptiometry and Bioelectrical Impedance Analysis in the Assessment of Body Composition in Women with Anorexia Nervosa upon Admission and Discharge from an Inpatient Specialist Unit

International journal of environmental research and public health

Mean kurtosis‐Curve (MK‐Curve) correction improves the test–retest reproducibility of diffusion kurtosis imaging at 3 T

Prospective Performance Evaluation of the miDiagnostics COVID-19 PCR Test for Rapid SARS-CoV-2 Detection on Nasopharyngeal Swabs

Test–retest reliability of eye tracking measures in a computerized Trail Making Test

Rapid Standardized CT-Based Method to Determine Lean Body Mass SUV for PET—A Significant Improvement Over Prediction Equations


Repository for the PGA-MAP-Elites algorithm.  PGA-MAP-Elites was developed to efficiently scale MAP-Elites to large genotypes and noisy domains. It uses Neuroevolution driven by a Genetic Algorithm (GA)  coupled with Policy Gradients (PG) derived from an off-policy Deep Reinforcement Learning method.

Addressing Function Approximation Error in Actor-Critic Methods

Illuminating search spaces by mapping elites

Using Centroidal Voronoi Tessellations to Scale Up the Multi-dimensional Archive of Phenotypic Elites Algorithm

Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization

QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration


Repository for tree crown delineation from RGB imagery, coupled with methods to delineate tree crowns from LiDAR data. Further scripts to analyse the mortality rates and carbon stocks of identified individual trees.


Tensorflow2 reimplementation of image generation model (GAN, Style Transfer, Image to Image Translation, etc)

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

Conditional Generative Adversarial Nets

Improved Training of Wasserstein GANs

Wasserstein GAN

A Neural Algorithm of Artistic Style


R wrapper for National Grid Carbon Intensity API


DRUM end to end differentiable rule mining on knowledge graphs

DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs

Relational Message Passing for Knowledge Graph Completion

Knowledge Graph Reasoning with Relational Digraph

Knowledge Graph Reasoning with Relational Directed Graph

DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoning

An original model for multi-target learning of logical rules for knowledge graph reasoning


Official code for Slot-Transformer for Videos (STEVE)

Bridging the Gap to Real-World Object-Centric Learning

Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos

Object-Centric Slot Diffusion

Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities


Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Offline RL With Realistic Datasets: Heteroskedasticity and Support Constraints

Iteratively Refined Behavior Regularization for Offline Reinforcement Learning


Relativistic hydro and local cooling on a moving mesh

GAMMA: a new method for modeling relativistic hydrodynamics and non-thermal emission on a moving mesh.

Analytic Model for Off-Axis GRB Afterglow Images – Geometry Measurement and Implications for Measuring H_0

The structure and evolution of relativistic jetted blast waves


CODER: Knowledge infused cross-lingual medical term embedding for term normalization. [JBI, ACL-BioNLP 2022]

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

Generalizing over Long Tail Concepts for Medical Term Normalization

Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations


CHECKED: Chinese COVID-19 fake news dataset

MetaDetector: Meta Event Knowledge Transfer for Fake News Detection

COVID-19 Rumor Detection on Social Networks Based on Content Information and User Response

LTCR: Long-Text Chinese Rumor Detection Dataset


[AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

MegaCRN: Meta-Graph Convolutional Recurrent Network for Spatio-Temporal Modeling


Repository for "Space-Time-Separable Graph Convolutional Network for Pose Forecasting" (ICCV 2021)

Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction

Pose Forecasting in Industrial Human-Robot Collaboration


Python wrapper for MaxEntScan to calculate splice site strength.

High-throughput mutagenesis identifies mutations and RNA-binding proteins controlling CD19 splicing and CART-19 therapy resistance

CAG repeat expansions create splicing acceptor sites and produce aberrant repeat-containing RNAs

bioRxiv : the preprint server for biology

High-Throughput Splicing Assays Identify Known and Novel WT1 Exon 9 Variants in Nephrotic Syndrome


icip2022 paper: sahi benchmark on visdrone and xview datasets using fcos, vfnet and tood detectors

FCOS: Fully Convolutional One-Stage Object Detection

VarifocalNet: An IoU-aware Dense Object Detector

TOOD: Task-aligned One-stage Object Detection

Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection

Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks


Repository for "SecurityEval Dataset: Mining Vulnerability Examples to Evaluate Machine Learning-Based Code Generation Techniques" published in MSR4P&S'22.

SecurityEval dataset: mining vulnerability examples to evaluate machine learning-based code generation techniques

Proceedings of the 1st International Workshop on Mining Software Repositories Applications for Privacy and Security

Software Vulnerability and Functionality Assessment using LLMs

DeVAIC: A Tool for Security Assessment of AI-generated Code


my implement of my paper

One-class graph neural networks for anomaly detection in attributed networks

DAGAD: Data Augmentation for Graph Anomaly Detection

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation

Generative Semi-supervised Graph Anomaly Detection


vertex cover solver

Scalable Kernelization for Maximum Independent Sets

On the Power of Simple Reductions for the Maximum Independent Set Problem

WeGotYouCovered: The Winning Solver from the PACE 2019 Implementation Challenge, Vertex Cover Track

An Updated Experimental Evaluation of Graph Bipartization Methods


An open-source library for reduced-density matrix-based analysis and computation

Large-Scale Variational Two-Electron Reduced-Density-Matrix-Driven Complete Active Space Self-Consistent Field Methods

Journal of chemical theory and computation

Combining pair-density functional theory and variational two-electron reduced-density matrix methods

Heterogeneous CPU + GPU Algorithm for Variational Two-Electron Reduced-Density Matrix-Driven Complete Active-Space Self-Consistent Field Theory.

Global hybrid multiconfiguration pair-density functional theory


[IJCV 2021] Python implementation of deblatting

Intra-Frame Object Tracking by Deblatting

International Conference on Computer Vision

Sub-frame Appearance and 6D Pose Estimation of Fast Moving Objects

Tracking by Deblatting

International Journal of Computer Vision

Monocular Visual Analysis for Electronic Line Calling of Tennis Games


Ensemble binning strategies for combining the output of multiple binning methods.

Comparative genome-centric analysis reveals seasonal variation in the function of coral reef microbiomes

Effects of laboratory domestication on the rodent gut microbiome

Zenodo (CERN European Organization for Nuclear Research)

Three families of Asgard archaeal viruses identified in metagenome-assembled genomes

Microbial Surface Biofilm Responds to the Growth-Reproduction-Senescence Cycle of the Dominant Coral Reef Macroalgae Sargassum spp.


A bottom-up traffic emission calculation tool developed at the Institute for Advanced Sustainability Studies in Potsdam and built in Python.


Codebase for reproducible benchmarking experiments in MedMNIST v2

MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification

Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach

GPT4MIA: Utilizing Generative Pre-trained Transformer (GPT-3) as A Plug-and-Play Transductive Model for Medical Image Analysis

RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification


An Inductive Logic Programming system for online learning of event definitions in the form of Event Calculus programs

Online learning of event definitions

Theory and Practice of Logic Programming

Semi-Supervised Online Structure Learning for Composite Event Recognition

Online Learning of Weighted Relational Rules for Complex Event Recognition

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2018, PT II

The Complex Event Recognition Group

Distributed Online Learning of Event Definitions


A speaker embedding network in Pytorch that is very quick to set up and use for whatever purposes.

Generalized End-to-End Loss for Speaker Verification

Universal Source Separation with Weakly Labelled Data

Voice Conversion Can Improve ASR in Very Low-Resource Settings

Disentanglement in a GAN for Unconditional Speech Synthesis

Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel's Weekly Video Podcasts

Exploring Data Augmentation in Bias Mitigation Against Non-Native-Accented Speech

Improving child speech recognition with augmented child-like speech

Voice Conversion for Stuttered Speech, Instruments, Unseen Languages and Textually Described Voices


A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled concept data

Label-Free Concept Bottleneck Models

Cross-Modal Conceptualization in Bottleneck Models

Concept Bottleneck Models Without Predefined Concepts

VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance


A simple single molecule tracking pipeline with a graphic user interface for quality control.

Recovering mixtures of fast-diffusing states from short single-particle trajectories

Proximity-assisted photoactivation (PAPA): Detecting molecular interactions in live-cell single-molecule imaging

Single-molecule tracking (SMT): a window into live-cell transcription biochemistry

A novel pathogenic mutation of MeCP2 impairs chromatin association independent of protein levels


Training T5 to perform numerical reasoning.

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

Injecting Numerical Reasoning Skills into Language Models

WT5?! Training Text-to-Text Models to Explain their Predictions

NT5?! Training T5 to Perform Numerical Reasoning


shiny app for WGCNA...

Genome-Wide Identification of the WD40 Gene Family in Tomato (Solanum lycopersicum L.)

Potential regulatory genes of light induced anthocyanin accumulation in sweet cherry identified by combining transcriptome and metabolome analysis

Cross-Platform Transcriptomic Data Integration, Profiling, and Mining in Vibrio cholerae


Source code to simulate WTF-PAD on a set of web traffic traces.

Measuring Information Leakage in Website Fingerprinting Attacks and Defenses

Bayes, not Naïve: Security Bounds on Website Fingerprinting Defenses

Proceedings on Privacy Enhancing Technologies

Evading classifiers in discrete domains with provable optimality guarantees

A Method for Identifying Tor Users Visiting Websites Based on Frequency Domain Fingerprinting of Network Traffic

DeTorrent: An Adversarial Padding-only Traffic Analysis Defense


[IROS'22] MMFN: Multi-Modal Fusion Net for End-to-End Autonomous Driving

Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

Label Efficient Visual Abstractions for Autonomous Driving

MMFN: Multi-Modal-Fusion-Net for End-to-End Driving

Integrating Modular Pipelines with End-to-End Learning: A Hybrid Approach for Robust and Reliable Autonomous Driving Systems


A R package to apply the climate reconstruction CREST.

CREST (Climate REconstruction SofTware): a probability density function (PDF)-based quantitative climate reconstruction method

Enabling possibilities to quantify past climate from fossil assemblages at a global scale

crestr: an R package to perform probabilistic climate reconstructions from palaeoecological datasets

Reconstructing Terrestrial Paleoclimates: A Comparison of the Co‐Existence Approach, Bayesian and Probability Reconstruction Techniques Using the UK Neogene

crestr An R package to perform probabilistic climate reconstructions using fossil proxies


Boundary delineation tool developed for its4land

Innovative Remote Sensing Methodologies for Kenyan Land Tenure Mapping

Application of Deep Learning for Delineation of Visible Cadastral Boundaries from Remote Sensing Imagery

Geospatial Tool and Geocloud Platform Innovations: A Fit-for-Purpose Land Administration Assessment


Whispers in the Machine: Confidentiality in LLM-integrated Systems

Prefix-Tuning: Optimizing Continuous Prompts for Generation

Detecting Language Model Attacks with Perplexity

Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition


Code and videos accompanying the paper "Flickering Adversarial Attacks against Video Recognition Networks"

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

A Closer Look at Spatiotemporal Convolutions for Action Recognition

Sparse Adversarial Perturbations for Videos

Over-the-Air Adversarial Flickering Attacks against Video Recognition Networks


FarsTail: a Persian natural language inference dataset

FarsTail: A Persian Natural Language Inference Dataset

Contradiction Detection in Persian Text

Persian Natural Language Inference: A Meta-learning approach


Create WRF-Chem emission file from your local emissions disaggregated in space and time.


Automatic ICD coding benchmark based on the MIMIC dataset

Explainable Prediction of Medical Codes from Clinical Text

ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network

TransICD: Transformer Based Code-wise Attention Model for Explainable ICD Coding

A Unified Review of Deep Learning for Automated Medical Coding


Config files for my GitHub profile.

A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups

Scalars are universal: Equivariant machine learning, structured like classical physics

Dimensionless machine learning: Imposing exact units equivariance

Towards fully covariant machine learning

A simple equivariant machine learning method for dynamics based on scalars


Cosmological map inference with deep learning

Deep learning dark matter map reconstructions from DES SV weak lensing data

Solving high-dimensional parameter inference: marginal posterior densities & Moment Networks

Single frequency CMB B-mode inference with realistic foregrounds from a single training image

Monthly Notices of the Royal Astronomical Society: Letters


Curved-sky python lensed CMB maps simulation package

Comparison of delensing methodologies and assessment of the delensing capabilities of future experiments

Journal of Cosmology and Astroparticle Physics

Improved cosmic microwave background (de-)lensing using general spherical harmonic transforms

Forecasts on CMB lensing observations with AliCPT-1

中国科学. 物理学 力学 天文学

Efficient ILC analysis on polarization maps after EB leakage correction

Forecasts of CMB lensing reconstruction of AliCPT-1 from the foreground cleaned polarization data

The reconstructed CMB lensing bispectrum

LiteBIRD science goals and forecasts: a full-sky measurement of gravitational lensing of the CMB

A New Probe of Gaussianity and Isotropy applied to the CMB Maps

CMB delensing with deep learning


Official source for Catalan Language Models and resources made within Aina project.

Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan


VM2D: Open-Source Code for 2D Flow Simulation by Using Meshless Lagrangian Vortex Methods

On the Scope of Lagrangian Vortex Methods for Two-Dimensional Flow Simulations and the POD Technique Application for Data Storing and Analyzing

Open Source Code for 2D Incompressible Flow Simulation by Using Meshless Lagrangian Vortex Methods

2017 Ivannikov ISPRAS Open Conference (ISPRAS)

Flow simulation around circular cylinder at low Reynolds numbers using vortex particle method

The VM2D Open Source Code for Incompressible Flow Simulation by Using Meshless Lagrangian Vortex Methods on CPU and GPU

2019 Ivannikov Memorial Workshop (IVMEM)


A fast and efficient colocalization algorithm for identifying shared genetic risk factors across multiple traits

Exploiting the GTEx resources to decipher the mechanisms at GWAS loci

Genome-wide association meta-analyses combining multiple risk phenotypes provide insights into the genetic architecture of cutaneous melanoma susceptibility

ezQTL: A Web Platform for Interactive Visualization and Colocalization of QTLs and GWAS Loci

基因组蛋白质组与生物信息学报

Integrating genetic regulation and single-cell expression with GWAS prioritizes causal genes and cell types for glaucoma

Integrative analysis of Mendelian randomization and Bayesian colocalization highlights four genes with putative BMI-mediated causal pathways to diabetes

Fine-mapping and QTL tissue-sharing information improve causal gene identification and transcriptome prediction performance

Epigenomic and Transcriptomic Prioritization of Candidate Obesity-Risk Regulatory GWAS SNPs

QTL mapping of human retina DNA methylation identifies 87 gene-epigenome interactions in age-related macular degeneration


The Free Evaluation System Framework (FreVa)


A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays

Black box approximation in the tensor train format initialized by ANOVA decomposition

PROTES: Probabilistic Optimization with Tensor Sampling


The Senses Toolkit offers a range of modules to learn about and explore climate change scenarios.


Python package to Create, Read, Write, Edit, and Visualize GSFLOW models

Integrated hydrologic model development and postprocessing for GSFLOW using pyGSFLOW


Workflow for SARS-CoV-2 genome Assembly at FioCruz/IAM

Unusual SARS-CoV-2 intra-host diversity reveals lineages superinfection

ViralFlow: an automated workflow for SARS-CoV-2 genome assembly, lineage assignment, mutations and intrahost variants detection

Assessment of clinical characteristics and viral load in individuals infected by Delta and Omicron variants of SARS-CoV-2


A PyTorch reimplementation of bottom-up-attention models

Object-aware Video-language Pre-training for Retrieval

A Multimodal Framework for the Detection of Hateful Memes

Guiding Visual Question Answering with Attention Priors

Weakly-Supervised Visual-Textual Grounding with Semantic Prior Refinement


ETNA – Time-Series Library

DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks

Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting

N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

Deep State Space Models for Time Series Forecasting

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


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

When Do Neural Nets Outperform Boosted Trees on Tabular Data?

Why In-Context Learning Transformers are Tabular Data Classifiers


Official implementation of ICML'24 paper "Offline Multi-Objective Optimization".

Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment

Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders


The code repository for "Parrot: Multilingual Visual Instruction Tuning" in PyTorch.

Ovis: Structural Embedding Alignment for Multimodal Large Language Model


Dataset that was used during the PHM IEEE 2012 Data Challenge, built by the FEMTO-ST Institute

Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study

A Method for Health Indicator Evaluation for Condition Monitoring of Industrial Robot Gears

Method for Predicting RUL of Rolling Bearings under Different Operating Conditions Based on Transfer Learning and Few Labeled Data


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

Origin and adaptation to high altitude of Tibetan semi-wild wheat

Organization and evolution of transposable elements along the bread wheat chromosome 3B

The genome and gene editing system of sea barleygrass provide a novel platform for cereal domestication and stress tolerance studies

Hijacking a rapid and scalable metagenomic method reveals subgenome dynamics and evolution in polyploid plants


JAX Implementations of Descript Audio Codec and EnCodec

High Fidelity Neural Audio Compression

High-Fidelity Audio Compression with Improved RVQGAN


With this package, you can generate mixed-integer linear programming (MIP) models of trained artificial neural networks (ANNs) using the rectified linear unit (ReLU) activation function. At the moment, only TensorFlow sequential models are supported. Interfaces to either the Pyomo or Gurobi modeling environments are offered.

Deterministic Global Optimization with Artificial Neural Networks Embedded

Journal of Optimization Theory and Applications

ReLU Networks as Surrogate Models in Mixed-Integer Linear Programs

OMLT: Optimization & Machine Learning Toolkit

When Deep Learning Meets Polyhedral Theory: A Survey

Physics Informed Piecewise Linear Neural Networks for Process Optimization

Optimizing over trained GNNs via symmetry breaking


Large-Scale Differentiable Causal Discovery of Factor Graphs

Stable Differentiable Causal Discovery


Implementation of paper 'Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference' [NeurIPS'24]

TOFU: A Task of Fictitious Unlearning for LLMs

Negative Preference Optimization: From Catastrophic Collapse to
  Effective Unlearning

Offset Unlearning for Large Language Models


the re-implementation of Score CAM with pytorch

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

Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks

Workshop on Applications of Computer Vision

Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks

Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models

Learning Visual Explanations for DCNN-Based Image Classifiers Using an Attention Mechanism


A novel deep learning method for predictive modeling of microbiome data

Applications of Machine Learning Models to Predict and Prevent Obesity: A Mini-Review


Pansharpening Dataset

Unsupervised Hyperspectral Pansharpening via Low-rank Diffusion Model

FusionMamba: Efficient Image Fusion with State Space Model


SummScreen: A Dataset for Abstractive Screenplay Summarization (ACL 2022)

Hierarchical3D Adapters for Long Video-to-text Summarization

AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content

Leveraging Natural Supervision for Language Representation Learning and Generation

Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers


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

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

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


Implementation for the paper "Unified Multimodal Model with Unlikelihood Training for Visual Dialog"

ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline

Proceedings of the 30th ACM International Conference on Multimedia


Bindings to use a NUFFT in pytorch with differentiation with respect to the input and to the positions.

Efficient Approximation of Jacobian Matrices Involving a Non-Uniform Fast Fourier Transform (NUFFT)

Training Adaptive Reconstruction Networks for Blind Inverse Problems

Bayesian Optimization of Sampling Densities in MRI

Off-the-grid data-driven optimization of sampling schemes in MRI


Drug discovery screening by deep learning.

Intriguing properties of neural networks

FaceNet: A Unified Embedding for Face Recognition and Clustering

Comprehensive Evaluation of Deep Learning Architectures for Prediction of DNA/RNA Sequence Binding Specificities

DeeperBind: Enhancing Prediction of Sequence Specificities of DNA Binding Proteins


Harassment Lexicon and Corpus

A Quality Type-aware Annotated Corpus and Lexicon for Harassment Research

Towards multidomain and multilingual abusive language detection: a survey

Analyzing and learning the language for different types of harassment

Hate Speech Detection via Dual Contrastive Learning


Implementation of TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems (https://arxiv.org/pdf/1908.01763.pdf)

Black-box Detection of Backdoor Attacks with Limited Information and Data

Trigger Hunting with a Topological Prior for Trojan Detection

Learning Topological Representations for Deep Image Understanding


PyTorch code for CVPR 2019 paper: The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation

Diagnosing the Environment Bias in Vision-and-Language Navigation


Collection and Implementation of Mobile-based Vision Transformer in Pytorch

MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

Separable Self-attention for Mobile Vision Transformers

MobileViTv3: Mobile-Friendly Vision Transformer with Simple and Effective Fusion of Local, Global and Input Features