Image-to-Image Translation with Conditional Adversarial Networks

Skin Lesion Synthesis with Generative Adversarial Networks

OR 2.0 CONTEXT-AWARE OPERATING THEATERS, COMPUTER ASSISTED ROBOTIC ENDOSCOPY, CLINICAL IMAGE-BASED PROCEDURES, AND SKIN IMAGE ANALYSIS, OR 2.0 2018

Skin cancer segmentation and classification with improved deep convolutional neural network

SLSNet: Skin lesion segmentation using a lightweight generative adversarial network

Segmentation of skin lesions and their attributes using Generative Adversarial Networks


[CVPR 2024] Code for HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation

Scene Graph Generation by Iterative Message Passing

Neural Motifs: Scene Graph Parsing with Global Context


Domain Generalization for Object Recognition with Multi-task Autoencoders

Domain Adaptation for Visual Applications: A Comprehensive Survey

Zero-shot Domain Adaptation without Domain Semantic Descriptors

Meta-Learning for Relative Density-Ratio Estimation

Few-shot Learning for Unsupervised Feature Selection


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

Estimating axon conduction velocity in vivo from microstructural MRI

Mapping axon conduction delays in vivo from microstructural MRI

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


Show and Tell : A Neural Image Caption Generator

Show and Tell: A Neural Image Caption Generator

SAFE: Similarity-Aware Multi-Modal Fake News Detection

A Survey on the Use of Graph Convolutional Networks for Combating Fake News


A flexible Chemical Evolution model in python

Inflow, Outflow, Yields, and Stellar Population Mixing in Chemical Evolution Models

APOGEE Chemical Abundances of the Sagittarius Dwarf Galaxy

APOGEE DR14/DR15 Abundances in the Inner Milky Way

Reconstructing the Disrupted Dwarf Galaxy Gaia-Sausage/Enceladus Using Its Stars and Globular Clusters

Chemical Abundances of Hydrostatic and Explosive Alpha-elements in Sagittarius Stream Stars

The Impact of Starbursts on Element Abundance Ratios


ICLR 2021, Fair Mixup: Fairness via Interpolation

Fair Mixup: Fairness via Interpolation

Learning fair representation with a parametric integral probability metric

Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing


WildFish: A Large Benchmark for Fish Recognition in the Wild

PROCEEDINGS OF THE 2018 ACM MULTIMEDIA CONFERENCE (MM'18)

Wildfish++: A Comprehensive Fish Benchmark for Multimedia Research

Applications of Deep Learning in Fish Habitat Monitoring: A Tutorial and Survey


PyTorch Implementation of Hamilton-Jacobi DQN

Continuous control with deep reinforcement learning

Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls


Learning Multiple Dense Prediction Tasks from Partially Annotated Data - CVPR 2022


PyTorch implementation of over 30 realtime semantic segmentations models, e.g. BiSeNetv1, BiSeNetv2, CGNet, ContextNet, DABNet, DDRNet, EDANet, ENet, ERFNet, ESPNet, ESPNetv2, FastSCNN, ICNet, LEDNet, LinkNet, PP-LiteSeg, SegNet, ShelfNet, STDC, SwiftNet, and support knowledge distillation, distributed training etc.

Distilling the Knowledge in a Neural Network

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

ICNet for Real-Time Semantic Segmentation on High-Resolution Images

LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation

Visual Communications and Image Processing

BiSeNet V2: Bilateral Network with Guided Aggregation for Real-Time Semantic Segmentation

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Rethinking BiSeNet For Real-time Semantic Segmentation

CGNet: A Light-weight Context Guided Network for Semantic Segmentation


A Closer Look at How Fine-tuning Changes BERT

DirectProbe: Studying Representations without Classifiers

Verifying Annotation Agreement without Multiple Experts: A Case Study with Gujarati SNACS

Findings of the Association for Computational Linguistics: ACL 2023


Image Captioning: Implementing the Neural Image Caption Generator

Show and Tell: A Neural Image Caption Generator

Deep Visual-Semantic Alignments for Generating Image Descriptions

Where to put the image in an image caption generator


This repository is  the official code for DBIN (ICCV 2019) and EDBIN (TNNLS 2021)

Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review

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

Hyperspectral and Multispectral Image Fusion Using the Conditional Denoising Diffusion Probabilistic Model

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

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


Self-Tuning Optimized Kalman Filtering (STOK) + DyNet simulation + connectivity metrics

Modeling time-varying brain networks with a self-tuning optimized Kalman filter

Structure supports function: informing directed and dynamic functional connectivity with anatomical priors

Four concurrent feedforward and feedback networks with different roles in the visual cortical hierarchy


This is the model in "A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation" (IJCAI2020). GA-DTCDR is an optimized model for DTCDR ("DTCDR: A Framework for Dual-Target Cross-Domain Recommendation" in CIKM2019).

Cross-Domain Recommendation: Challenges, Progress, and Prospects

Multimodal Recommender Systems: A Survey

A Survey on Cross-Domain Sequential Recommendation


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

Towards Semi-Supervised Semantics Understanding from Speech

Improved Spoken Language Representation for Intent Understanding in a Task-Oriented Dialogue System


CrackFormer: Transformer Network for Fine-Grained Crack Detection

International Conference on Computer Vision

CrackFormer Network for Pavement Crack Segmentation

IEEE Transactions on Intelligent Transportation Systems

Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images


SfM Flow: A comprehensive toolset for the evaluation of 3D reconstruction pipelines

Evaluating the Performance of Structure from Motion Pipelines

A Blender plug-in for comparing Structure from Motion pipelines

International Conference on Consumer Electronics - Berlin


Multi-level Feature Learning for Contrastive Multi-view Clustering

Efficient Solvers for Wyner Common Information with Application to
  Multi-Modal Clustering


IJCNN 2021: Inductive Learning on Commonsense Knowledge Graph Completion (Depreciated)

MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation

A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge


[CVPR 2024] The official repo for Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection

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

DIRE for Diffusion-Generated Image Detection

Towards Universal Fake Image Detectors that Generalize Across Generative Models


The official implementation of PRSA-Net

BMN: Boundary-Matching Network for Temporal Action Proposal Generation

G-TAD: Sub-Graph Localization for Temporal Action Detection

Pyramid Region-based Slot Attention Network for Temporal Action Proposal Generation


Deep metric learning: Triplet, Magnet and VMF loss

FaceNet: A Unified Embedding for Face Recognition and Clustering

Metric Learning with Adaptive Density Discrimination

Directional Statistics-based Deep Metric Learning for Image Classification and Retrieval


Source code for MICRODEM, open source GIS program for 64 bit Windows

Novel approach for ranking DEMs: Copernicus DEM improves one arc second open global topography


GitHub repo for FSE 2021 Paper - ``Bias in Machine Learning Software: Why? How? What to do?''

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

Fairness Testing: A Comprehensive Survey and Analysis of Trends

A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers

Fair oversampling technique using heterogeneous clusters


Prompting Small Language Models for Personalized Cold-Start Recommendation

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

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

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


SpeechGLUE is a speech version of the GLUE benchmark, driven by text-to-speech.

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

SUPERB: Speech processing Universal PERformance Benchmark

SpeechGLUE: How Well Can Self-Supervised Speech Models Capture Linguistic Knowledge?


Source code and datasets of "RapidMatch: A Holistic Approach to Subgraph Query Processing", accepted by VLDB'21 - By Shixuan Sun, Xibo Sun, Yulin Che, Prof. Qiong Luo, and Prof. Bingsheng He

GuP: Fast Subgraph Matching by Guard-based Pruning

Proceedings of the ACM on Management of Data

Evaluating Hybrid Graph Pattern Queries Using Runtime Index Graphs

HGMatch: A Match-by-Hyperedge Approach for Subgraph Matching on Hypergraphs


Long read QC, assembly and scaffolding pipeline

Six reference-quality genomes reveal evolution of bat adaptations

Contrasting signatures of genomic divergence during sympatric speciation

A highly contiguous genome assembly of the bat hawkmoth Hyles vespertilio (Lepidoptera: Sphingidae)


A dgl implementation of Jumping Knowledge Networks (arXiv 1806.03536)

Representation Learning on Graphs with Jumping Knowledge Networks

Deep Learning on Graphs: A Survey

Graph-based Semi-supervised Learning: A Comprehensive Review

Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication

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


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

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

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

RAMiT: Reciprocal Attention Mixing Transformer for Lightweight Image Restoration


Label Informed Attributed Network Embedding, WSDM 2017

Network Together: Node Classification via Cross-Network Deep Network Embedding

IEEE transactions on neural networks and learning systems

AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing

Effective and Scalable Clustering on Massive Attributed Graphs

Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective

Joint Use of Node Attributes and Proximity for Semi-Supervised Classification on Graphs


DAGs with No Curl: An Efficient DAG Structure Learning Approach

On the Convergence of Continuous Constrained Optimization for Structure Learning

A Survey on Causal Discovery Methods for I.I.D. and Time Series Data

Truncated Matrix Power Iteration for Differentiable DAG Learning

Learning DAGs from Data with Few Root Causes


Code for Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation (EMNLP-21)

Evaluating progress in automatic chest X-ray radiology report generation

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge

RECAP: Towards Precise Radiology Report Generation via Dynamic Disease Progression Reasoning


High fidelity flight simulation for an autonomous low SWaP (Size, Weight, and Power) fixed wing unmanned air vehicle in GNSS-Denied conditions.

Minimization of GNSS-Denied Inertial Navigation Errors for Fixed Wing Autonomous Unmanned Air Vehicles

GNSS-Denied Semi-Direct Visual Navigation for Autonomous UAVs Aided by PI-Inspired Inertial Priors

Stochastic High Fidelity Simulation and Scenarios for Testing of Fixed Wing Autonomous GNSS-Denied Navigation Algorithms.

Long Distance GNSS-Denied Visual Inertial Navigation for Autonomous Fixed Wing Unmanned Air Vehicles: SO(3) Manifold Filter based on Virtual Vision Sensor


This is a Large-Scale SAR Ship Detection Dataset-v1.0 (LS-SSDD-v1.0) from Sentinel-1, for small ship detec-tion under large-scale backgrounds. LS-SSDD-v1.0 contains 15 large-scale SAR images whose ground truths are correctly labeled by SAR experts by drawing support from Automatic Identifica-tion System (AIS) and Google Earth. To facilitate network training, the large-scale images are directly cut into 9,000 sub-images without bells and whistles, providing convenience for subsequent detec-tion result presentation in large-scale SAR images.

SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis

LS-SSDD-v1.0: A Deep Learning Dataset Dedicated to Small Ship Detection from Large-Scale Sentinel-1 SAR Images

HOG-ShipCLSNet: A Novel Deep Learning Network With HOG Feature Fusion for SAR Ship Classification

IEEE Transactions on Geoscience and Remote Sensing

A polarization fusion network with geometric feature embedding for SAR ship classification

Squeeze-and-Excitation Laplacian Pyramid Network With Dual-Polarization Feature Fusion for Ship Classification in SAR Images

IEEE Geoscience and Remote Sensing Letters

High-speed and High-accurate SAR Ship Detection Based on a Depthwise Separable Convolution Neural Network


Fast Laplacian estimation

Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning

On minimal variations for unsupervised representation learning

Kernelized Diffusion maps

The Galerkin method beats Graph-Based Approaches for Spectral Algorithms


implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow

Implicit Reparameterization Gradients

Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms

WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling

Dirichlet Variational Autoencoder

Improving Neural Topic Models using Knowledge Distillation


MindSpore implementations of Generative Adversarial Networks.

Conditional Generative Adversarial Nets

Improved Training of Wasserstein GANs

Wasserstein GAN

Conditional Image Synthesis With Auxiliary Classifier GANs

Adversarial Autoencoders

BEGAN: Boundary Equilibrium Generative Adversarial Networks

ClusterGAN : Latent Space Clustering in Generative Adversarial Networks

Boundary-Seeking Generative Adversarial Networks


A challenge to investigate the security of the InstaHide protocol.

InstaHide: Instance-hiding Schemes for Private Distributed Learning

An Attack on InstaHide: Is Private Learning Possible with Instance Encoding?


TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020)  https://doi.org/10.1093/bioinformatics/btaa524

TransformerCPI: improving compound-protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments

A brief review of protein–ligand interaction prediction

Computational and structural biotechnology journal

Pretraining model for biological sequence data

FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for
  Drug-Target Interaction


reverse gene expression score

Reversal of cancer gene expression correlates with drug efficacy and reveals therapeutic targets

RETRACTED ARTICLE: Computational Drug Repositioning for Gastric Cancer using Reversal Gene Expression Profiles

Validation of transcriptome signature reversion for drug repurposing in oncology

A multiparametric pharmacogenomic strategy for drug repositioning predicts therapeutic efficacy for glioblastoma cell lines.


Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.

Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication

Frequency estimation under local differential privacy

Differential Privacy: What is all the noise about?


Official implementation of "cmSalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial Networks" (IEEE TMM 2020)

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

PiCANet: Pixel-Wise Contextual Attention Learning for Accurate Saliency Detection


accepted at ICCV 2021

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

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

Adaptive manifold for imbalanced transductive few-shot learning


Code for paper "Out-of-domain detection for natural language understanding in dialog systems"

Out-of-Domain Detection for Natural Language Understanding in Dialog Systems

Energy-based Unknown Intent Detection with Data Manipulation


Code release to accompany paper "Geometry-Aware Gradient Algorithms for Neural Architecture Search."

Rethinking Neural Operations for Diverse Tasks

Approximate Neural Architecture Search via Operation Distribution Learning

Delve into the Performance Degradation of Differentiable Architecture Search

PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021


Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]

Preservation of the Global Knowledge by Not-True Distillation in Federated Learning

Multimodal Federated Learning in Healthcare: a review


OpenAI Gym environments for Quadrotor UAV

Continuous control with deep reinforcement learning

Addressing Function Approximation Error in Actor-Critic Methods

Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics

Equivariant Reinforcement Learning for Quadrotor UAV


small fixed wing UAV simulator

Flight Control for UAV Loitering Over a Ground Target With Unknown Maneuver

IEEE Transactions on Control Systems Technology

Coordinate-Free Circumnavigation of a Moving Target Via a PD-Like Controller

IEEE Transactions on Aerospace and Electronic Systems

The Isoline Tracking in Unknown Scalar Fields with Concentration Feedback

Coordinate-free Isoline Tracking in Unknown 2-D Scalar Fields


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

OpenSAN

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

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

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

International Journal of Satellite Communications and Networking

Software Defined Integrated Satellite-Terrestrial Network: A Survey

MSN: a mobility-enhanced satellite network architecture: poster

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

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

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

MPTCP Based Load Balancing Mechanism in Software Defined Satellite Networks

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

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

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


Collection of tools and resources for linked-reads

Haplotyping germline and cancer genomes with high-throughput linked-read sequencing

Efficient and unique cobarcoding of second-generation sequencing reads from long DNA molecules enabling cost-effective and accurate sequencing, haplotyping, and de novo assembly

Resolving the full spectrum of human genome variation using Linked-Reads

Haplotype-resolved whole-genome sequencing by contiguity-preserving transposition and combinatorial indexing

Ultralow-input single-tube linked-read library method enables short-read second-generation sequencing systems to routinely generate highly accurate and economical long-range sequencing information

Haplotype tagging reveals parallel formation of hybrid races in two butterfly species

Haplotype phasing of whole human genomes using bead-based barcode partitioning in a single tube

High throughput barcoding method for genome-scale phasing


This is provisional codes for a conference paper titled "Robustness of Probabilistic U-Net for Automated Segmentation of White Matter Hyperintensity in Different Datasets of Brain MRI".

U-Net: Convolutional Networks for Biomedical Image Segmentation

Attention U-Net: Learning Where to Look for the Pancreas

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

A Probabilistic U-Net for Segmentation of Ambiguous Images

Deep Learning based Systems for Crater Detection: A Review


Large scale evolution for optimization

Large-Scale Evolution of Image Classifiers

Efficient Hyperparameter Optimization in Deep Learning Using a Variable Length Genetic Algorithm

Evolutionary Construction of Convolutional Neural Networks


SambaR: Snp datA Management and Basic Analyses in R

SambaR: an R package for fast, easy and reproducible population-genetic analyses of biallelic SNP datasets

Detecting genetic signals of selection in heavily bottlenecked reindeer populations by comparing parallel founder events

New insights in the Spanish gene pool of olive (Olea europaea L.) preserved ex situ and in situ based on high-throughput molecular markers

Genetic Variability and Kinship Analyses of Seized Red-Browed Amazon, Amazona rhodocorytha (Aves, Psittacidae)


Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder

Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training

Availability Attacks Create Shortcuts

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

Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression

Indiscriminate Poisoning Attacks Are Shortcuts.


BingleSeq - A user-friendly R package for Bulk and Single-cell RNA-Seq data analyses

Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

Gene ontology analysis for RNA-seq: accounting for selection bias

MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data

Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data

Zenodo (CERN European Organization for Nuclear Research)

DEBrowser: interactive differential expression analysis and visualization tool for count data

Transfer of regulatory knowledge from human to mouse for functional genomics analysis

Biochimica et biophysica acta. Gene regulatory mechanisms

DEApp: an interactive web interface for differential expression analysis of next generation sequence data

The histone chaperone HIRA promotes the induction of host innate immune defences in response to HSV-1 infection

Risk-conscious correction of batch effects: maximising information extraction from high-throughput genomic datasets

BingleSeq: a user-friendly R package for bulk and single-cell RNA-Seq data analysis


DeepHawkes: Popularity Prediction of Information Cascades

DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades

International Conference on Information and Knowledge Management

A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances

CCGL: Contrastive Cascade Graph Learning

CasCIFF: A Cross-Domain Information Fusion Framework Tailored for Cascade Prediction in Social Networks


SEAME corpus two develop set

On the End-to-End Solution to Mandarin-English Code-switching Speech Recognition

Constrained Output Embeddings for End-to-End Code-Switching Speech Recognition with Only Monolingual Data

Training a code-switching language model with monolingual data


The Python PSDD Package

Three Modern Roles for Logic in AI

Symposium on Principles of Database Systems

Tractable Boolean and Arithmetic Circuits

Leveraging Unlabeled Data for Entity-Relation Extraction through Probabilistic Constraint Satisfaction

FlowPG: Action-constrained Policy Gradient with Normalizing Flows


TreeBERT: A Tree-Based Pre-Trained Model for Programming Language

CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing

CoDesc: A Large Code-Description Parallel Dataset

Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit


A retrieval augmented sequence modeling toolkit implemented based on Fairseq

Generalization through Memorization: Nearest Neighbor Language Models

Nearest Neighbor Machine Translation

Adaptive Nearest Neighbor Machine Translation

Efficient Nearest Neighbor Language Models

Learning Kernel-Smoothed Machine Translation with Retrieved Examples

Efficient Cluster-Based k-Nearest-Neighbor Machine Translation

Towards Robust k-Nearest-Neighbor Machine Translation


Missing Data Imputation for Python

The impact of imputation quality on machine learning classifiers for datasets with missing values

MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models

Semi-supervised Learning with Missing Values Imputation

Foveal Thickness Fluctuations in Anti-VEGF Treatment for Central Retinal Vein Occlusion


Graph Neural Network for Traffic Forecasting: A Survey

Coupled Layer-wise Graph Convolution for Transportation Demand Prediction

Bike sharing usage prediction with deep learning: a survey


A code for "Tree-Structured Neural Topic Model" in ACL2020

Tree-Structured Neural Topic Model

Meeting of the Association for Computational Linguistics

Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference

Nonparametric Forest-Structured Neural Topic Modeling

International Conference on Computational Linguistics


Dictionary of obscene words for Ukrainian language

MultiParaDetox: Extending Text Detoxification with Parallel Data to New Languages


Experiment for lsat

Holistic Evaluation of Language Models

From LSAT: The Progress and Challenges of Complex Reasoning

AR-LSAT: Investigating Analytical Reasoning of Text

DataComp-LM: In search of the next generation of training sets for
  language models

Analytical Reasoning of Text

Findings of the Association for Computational Linguistics: NAACL 2022


ipapy is a Python module to work with International Phonetic Alphabet (IPA) strings

Deciphering Undersegmented Ancient Scripts Using Phonetic Prior

Interpreting Character Embeddings With Perceptual Representations: The Case of Shape, Sound, and Color

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)


Meta-GNN: On Few-shot Node Classification in Graph Meta-learning

Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding

Contrastive Graph Few-Shot Learning


DAGs with NO TEARS: Continuous Optimization for Structure Learning

Learning Granger Causality for Hawkes Processes

THPs: Topological Hawkes Processes for Learning Causal Structure on Event Sequences


An ERA5-based hourly global pressure, temperature, and relative humidity model

An ERA5-Based Hourly Global Pressure and Temperature (HGPT) Model

HGPT2: An ERA5-Based Global Model to Estimate Relative Humidity

Weighted Mean Temperature Hybrid Models in China Based on Artificial Neural Network Methods


[EMNLP 2021] Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training

Distantly Supervised Course Concept Extraction in MOOCs with Academic Discipline

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

Automatic Creation of Named Entity Recognition Datasets by Querying Phrase Representations


Python package to fit single and binary photometric SEDs. Automatically pull archive photometry from the main surveys and use Bayesian inference to derive atmospheric parameters.

Looking into the cradle of the grave: J22564-5910, a young post-merger hot subdwarf?

Orbital and atmospheric parameters of two wide O-type subdwarf binaries: BD-11°162 and Feige 80


Pytorch implementation of neural processes and variants

Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling

Bootstrapping Neural Processes

Neural Processes with Stochastic Attention: Paying more attention to the context dataset

Adaptive Conditional Quantile Neural Processes

Exploiting Inferential Structure in Neural Processes


Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting

Risk-Averse Offline Reinforcement Learning

One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning


Representation Learning in RL

Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient

Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning Approach

Provable Benefits of Representational Transfer in Reinforcement Learning

Representation Learning for General-sum Low-rank Markov Games


Visualize Arctic and Antarctic sea ice


feedback vertex set solver

Linear-time Kernelization for Feedback Vertex Set

Improved Analysis of Highest-Degree Branching for Feedback Vertex Set

Experimental Evaluation of Parameterized Algorithms for Feedback Vertex Set

Restless reachability problems in temporal graphs


:fire: :muscle: RM3D: Robust Data-Efficient 3D Scene Parsing via Traditional and Learnt 3D Descriptors-based Semantic Region Merging (IJCV 2022)

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network

Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection


[MIDL 2022 Oral] Learning Morphological Feature Perturbations for Calibrated Semi Supervised Segmentation

Understanding the Effective Receptive Field in Deep Convolutional Neural Networks

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

Semi-supervised semantic segmentation needs strong, varied perturbations

Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation

MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations With Limited Labels


download Google Earth Engine datasets to tiles as geotiff arrays

Fewshot learning on global multimodal embeddings for earth observation tasks

Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data

Exploring Generalisability of Self-Distillation with No Labels for SAR-Based Vegetation Prediction

Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery


Compressor for Nanopore Sequencing Reads

Portable nanopore-sequencing technology: Trends in development and applications

Reference-free lossless compression of nanopore sequencing reads using an approximate assembly approach

NanoSpring: reference-free lossless compression of nanopore sequencing reads using an approximate assembly approach


Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

SNIP: Single-shot Network Pruning based on Connection Sensitivity

Picking Winning Tickets Before Training by Preserving Gradient Flow

A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations


First-order logic theorem prover supporting unification with approximate vector similarity

End-to-End Differentiable Proving

Braid: Weaving Symbolic and Neural Knowledge into Coherent Logical Explanations

Neuro-symbolic Commonsense Social Reasoning


Official Code Repository for the paper "Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction" (NeurIPS 2020)

Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information

A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge


propositional satisfiability problem (SAT) goes neural and deep

Graph Attention Networks

PDP: A General Neural Framework for Learning Constraint Satisfaction Solvers

Transformer-based Machine Learning for Fast SAT Solvers and Logic Synthesis


SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness

Learning to Perturb Word Embeddings for Out-of-distribution QA

Feature-aware conditional GAN for category text generation

OoMMix: Out-of-manifold Regularization in Contextual Embedding Space for Text Classification

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

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


Are GAN generated images easy to detect? A critical analysis of the state-of-the-art

AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces

AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics

DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection


Use efficientdet - Python version to realize intelligent retail model training, provide data sets and trained model files ~ welcome star使用Efficientdet -pytorch版实现智能零售模型训练，提供数据集与训练好的模型文件~欢迎star

Feature Pyramid Networks for Object Detection

Path Aggregation Network for Instance Segmentation

Libra R-CNN: Towards Balanced Learning for Object Detection

M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network


An implementation of the Residual Flow algorithm for out-of-distribution detection.

Deep Residual Flow for Out of Distribution Detection

AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows

A Simple Framework for Uncertainty in Contrastive Learning

DualFlow: Generating imperceptible adversarial examples by flow field and normalize flow-based model

AFLOW: Developing Adversarial Examples under Extremely Noise-limited Settings


Source code and data used in the papers ViQuAE (Lerner et al., SIGIR'22), Multimodal ICT (Lerner et al., ECIR'23) and Cross-modal Retrieval (Lerner et al., ECIR'24)

WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning

ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Multimodal Inverse Cloze Task for Knowledge-based Visual Question Answering

Un jeu de données pour répondre à des questions visuelles à propos d’entités nommées en utilisant des bases de connaissances

HAL (Le Centre pour la Communication Scientifique Directe)

Cross-modal Retrieval for Knowledge-based Visual Question Answering


SIP: Significant Interaction Peak caller

Analysis of Hi-C data using SIP effectively identifies loops in organisms from C. elegans to mammals

Temporal analysis suggests a reciprocal relationship between 3D chromatin structure and transcription

Proximity-dependent recruitment of Polycomb Repressive Complexes by the lncRNAAirn


pytorch code of multi scale 1d resnet, we hope it will help your research

Self-attention for raw optical Satellite Time Series Classification

BreizhCrops: A Time Series Dataset for Crop Type Mapping

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

An ensemble of convolution-based methods for fault detection using vibration signals


Preprocessed Datasets for our Multimodal NER paper

Improving Multimodal Named Entity Recognition via Entity Span Detection with Unified Multimodal Transformer

ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition

Recognizing Everything from All Modalities at Once: Grounded Multimodal
  Universal Information Extraction


CLIPScore EMNLP code

CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models

Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis

Empowering Dynamics-aware Text-to-Video Diffusion with Large Language Models

Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model

GAIA: Rethinking Action Quality Assessment for AI-Generated Videos


Code for ResDMD: data-driven spectral properties of Koopman Operators

Rigorous data-driven computation of spectral properties of Koopman operators for dynamical systems

Residual Dynamic Mode Decomposition: Robust and verified Koopmanism

Beyond expectations: Residual Dynamic Mode Decomposition and Variance for Stochastic Dynamical Systems

Another look at Residual Dynamic Mode Decomposition in the regime of
  fewer Snapshots than Dictionary Size


Data Driven Topological Filtering of Brain Networks via Orthogonal Minimal Spanning Trees

Combining network topology and information theory to construct representative brain networks

Aberrant Whole-Brain Transitions and Dynamics of Spontaneous Network Microstates in Mild Traumatic Brain Injury

Systematic evaluation of fMRI data-processing pipelines for consistent functional connectomics


Classifying Forged vs Authentic using Domain Adaptation across in new domains in unsupervised settings

Domain-Adversarial Training of Neural Networks

Deep Domain Confusion: Maximizing for Domain Invariance

EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning

Syn2Real: Forgery Classification via Unsupervised Domain Adaptation


Causality with machine learning, topic including causal represenation learning, causal reinforcement learning

Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

Journal of the American Statistical Association

Bayesian Nonparametric Modeling for Causal Inference

Journal of Computational and Graphical Statistics

Covariate balancing propensity score

Journal of the Royal Statistical Society Series B: Statistical Methodology

Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions

causal-curve: A Python Causal Inference Package to Estimate Causal Dose-Response Curves


(Hybrid) BYOL-S feature extractor using serab-byols package in pytorch.

BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation

SERAB: A multi-lingual benchmark for speech emotion recognition

BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping

Hybrid Handcrafted and Learnable Audio Representation for Analysis of Speech Under Cognitive and Physical Load

Efficient Speech Quality Assessment Using Self-Supervised Framewise Embeddings


[ICLR 2023] Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

A Kronecker-factored approximate Fisher matrix for convolution layers


Sleep staging from ECG, assisted with EEG

U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging

A Deep Knowledge Distillation framework for EEG assisted enhancement of single-lead ECG based sleep staging

EEG aided boosting of single-lead ECG based sleep staging with Deep Knowledge Distillation

IEEE International Symposium on Medical Measurements and Applications


Codes for papers on Large Language Models Personalization (LaMP)

LaMP: When Large Language Models Meet Personalization

Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation


Paper list of KBQA

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

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

Learning to Answer Complex Questions over Knowledge Bases with Query Composition

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

Hierarchical Query Graph Generation for Complex Question Answering over Knowledge Graph

A Survey of Question Answering over Knowledge Base

KNOWLEDGE GRAPH AND SEMANTIC COMPUTING: KNOWLEDGE COMPUTING AND LANGUAGE UNDERSTANDING

Introduction to neural network-based question answering over knowledge graphs

Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery

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


VQVAE for video prediction

Generating Diverse High-Fidelity Images with VQ-VAE-2

PixelSNAIL: An Improved Autoregressive Generative Model

Predicting Video with VQVAE


Learning diverse options through the Laplacian representation.

Eigenoption Discovery through the Deep Successor Representation

Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing

Deep Laplacian-based Options for Temporally-Extended Exploration


[ICML 2023] official implementation for "Input Perturbation Reduces Exposure Bias in Diffusion Models"

Diffusion Models Beat GANs on Image Synthesis

Elucidating the Exposure Bias in Diffusion Models


The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces

Scalable Global Optimization via Local Bayesian Optimization

Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search

Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation

High-dimensional multidisciplinary design optimization for aircraft
  eco-design / Optimisation multi-disciplinaire en grande dimension pour
  l'éco-conception avion en avant-projet


Add noise to your text, can be used to improve synthetic training corpus for Neural Machine Translation

Attention Is All You Need

Understanding Back-Translation at Scale

Sentence-Level or Token-Level? A Comprehensive Study on Knowledge Distillation


Supervised Contrastive Learning

Combination of Multiple Global Descriptors for Image Retrieval

Dog nose print matching with dual global descriptor based on Contrastive Learning


[EMNLP 2020] What is More Likely to Happen Next? Video-and-Language Future Event Prediction

Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners

Visual Abductive Reasoning

Modeling Events and Interactions through Temporal Processes -- A Survey


Python package for detecting core-periphery structure in networks.

Core-Periphery Structure in Networks

Computing continuous core/periphery structures for social relations data with MINRES/SVD

Finding multiple core-periphery pairs in networks

Core-periphery structure requires something else in the network

Blockchain Network Analysis: A Comparative Study of Decentralized Banks

Structural changes in the interbank market across the financial crisis from multiple core-periphery analysis

The Journal of Network Theory in Finance

Information access representations and social capital in networks


[ACL2024] A Codebase for Incremental Learning with Large Language Models; Official released code for "Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models (ACL 2024)", "Incremental Sequence Labeling: A Tale of Two Shifts (ACL 2024 Findings)", and "Concept-1K: A Novel Benchmark for Instance Incremental Learning (arxiv)"

Can LLMs Learn New Concepts Incrementally without Forgetting?


[ECCV 2024] ShapeLLM: Universal 3D Object Understanding for Embodied Interaction

3D-LLM: Injecting the 3D World into Large Language Models

PointLLM: Empowering Large Language Models to Understand Point Clouds

Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following


Detect UN Sustainable Development Goals in Text

text2sdg: An R package to Monitor Sustainable Development Goals from Text

Using novel data and ensemble models to improve automated labeling of Sustainable Development Goals


Mitigation of periodic as well as narrow-band and spiky/bursty RFI from time-domain filterbank data.

Chromatic periodic activity down to 120 MHz in a Fast Radio Burst

Fourier domain excision of periodic radio frequency interference

pinta: The uGMRT data processing pipeline for the Indian Pulsar Timing Array

Publications of the Astronomical Society of Australia

High precision measurements of interstellar dispersion measure with the upgraded GMRT

Nanohertz gravitational wave astronomy during SKA era: An InPTA perspective

PSR J0437-4715: The Argentine Institute of Radioastronomy 2019-2020 Observational Campaign

Magnetar XTE J1810–197: Spectro-temporal Evolution of Average Radio Emission

A search for pulsars in subdwarf B binary systems and discovery of giant-pulse emitting PSR J0533-4524

Monthly notices of the Royal Astronomical Society

An activity transition in FRB 20201124A: methodological rigor, detection
  of frequency-dependent cessation, and a geometric magnetar model


BlockSim: An Extensible Simulation Tool forBlockchain Systems

BlockSim: An Extensible Simulation Tool for Blockchain Systems

An In-Depth Review on Blockchain Simulators for IoT Environments

Blockchain Simulators: A Systematic Mapping Study

Towards Practical Applications in Modeling Blockchain System


[T-IV] Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving

Model-free Deep Reinforcement Learning for Urban Autonomous Driving

Learning hierarchical behavior and motion planning for autonomous driving


Plot research data from Svalbard on maps

Changes in Sea-Ice Protist Diversity With Declining Sea Ice in the Arctic Ocean From the 1980s to 2010s

Arctic coastal benthos long-term responses to perturbations under climate warming

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

Dynamics of organic matter and bacterial activity in the Fram Strait during summer and autumn

The Influence of Sea Ice Cover and Atlantic Water Advection on Annual Particle Export North of Svalbard

Subglacial upwelling in winter/spring increases under-ice primary
production

Sea water temperature and light intensity at high-Arctic subtidal shallows – 16 years perspective


On-Device Domain Generalization

Distilling the Knowledge in a Neural Network

Learning to Prompt for Vision-Language Models

Conditional Prompt Learning for Vision-Language Models

On-Device Domain Generalization


Periodic time series analysis tools based on information theory

Gamma-ray and optical oscillations of 0716+714, MRK 421, and BL Lacertae

Robust Period Estimation Using Mutual Information for Multiband Light Curves in the Synoptic Survey Era

Efficient Optimization of Echo State Networks for Time Series Datasets

International Joint Conference on Neural Network

VLA/Realfast Detection of a Burst from FRB 180916.J0158+65 and Tests for Periodic Activity

A random forest-based selection of optically variable AGN in the VST-COSMOS field

Persistent and occasional: Searching for the variable population of the ZTF/4MOST sky using ZTF Data Release 11

Monitoring Observations of SMC X-1's Excursions (MOOSE) I: Program
  Description and Initial High-State Spectral Results

Taking the pulse of the outer Milky Way with HOWVAST: an RR Lyrae
  density profile out to >200 kpc


This is a clean implementation of AM-GANs, supporting our paper “Activation Maximization Generative Adversarial Nets”.

Improved Techniques for Training GANs

Conditional Image Synthesis With Auxiliary Classifier GANs

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Understanding the Effectiveness of Lipschitz-Continuity in Generative Adversarial Nets


[ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass

Convolutional Bypasses Are Better Vision Transformer Adapters

FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer

Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy

Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation


Gene-specific patterns of expression variation across organs and species

Damage-responsive elements in Drosophila regeneration

Evolution of Gene Expression across Species and Specialized Zooids in Siphonophora


[2021 훈민정음 한국어 음성•자연어 인공지능 경진대회] 대화요약 부문 알라꿍달라꿍 팀의 대화요약 학습 및 추론 코드를 공유하기 위한 레포입니다.

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

A Deep Reinforced Model for Abstractive Summarization

R-Drop: Regularized Dropout for Neural Networks

Better Fine-Tuning by Reducing Representational Collapse


[NeurIPS XAIA & Springer] Code and notebooks to paper "A Fresh Look at Sanity Checks for Saliency Maps"

Sanity Checks for Saliency Maps

Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test


[NeurIPS 2019] This is the code repo of our novel passport-based DNN ownership verification schemes, i.e. we embed passport layer into various deep learning architectures (e.g. AlexNet, ResNet) for Intellectual Property Right (IPR) protection.

[Extended version] Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks

DeepIPR: Deep Neural Network Ownership Verification With Passports

IEEE transactions on pattern analysis and machine intelligence

Deep Intellectual Property Protection: A Survey

Rethinking White-Box Watermarks on Deep Learning Models under Neural Structural Obfuscation

Cracking White-box DNN Watermarks via Invariant Neuron Transforms


[ICML 2024] Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts (Official Pytorch Implementation)

An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery


R package for forest mensuration and management


SOMatic is a tool for building Self-Organizing Maps and linking multiple maps.

Building gene regulatory networks from scATAC-seq and scRNA-seq using Linked Self-Organizing Maps

Computational methods for the integrative analysis of single-cell data

Deep Learning in Single-Cell Analysis

Uncovering the mesendoderm gene regulatory network through multi-omic data integration


Cyrus2014 Soccer simulation 2D team, 1st IranOpen2014, 5th Robocup2014

Improving Dribbling, Passing, and Marking Actions in Soccer Simulation 2D Games Using Machine Learning

CYRUS Soccer Simulation 2D Team Description Paper 2022

Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2023


:package: Interface to the World Database on Protected Areas (WDPA)


[unofficial] Pytorch implementation of WaDIQaM in TIP2018, Bosse S. et al. (Deep neural networks for no-reference and full-reference image quality assessment)

Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment

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

Active Fine-Tuning from gMAD Examples Improves Blind Image Quality Assessment

Evaluating Deep Neural Networks for Image Document Enhancement


Masks recombination as detected by ClonalFrameML or Gubbins and draws an SVG

The phylogenetic landscape and nosocomial spread of the multidrug-resistant opportunist Stenotrophomonas maltophilia

Staphylococcus aureus viewed from the perspective of 40,000+ genomes

Genotypic and Phenotypic Diversity of Staphylococcus aureus Isolates from Cystic Fibrosis Patient Lung Infections and Their Interactions with Pseudomonas aeruginosa

Treponema pallidum genome sequencing from six continents reveals variability in vaccine candidate genes and dominance of Nichols clade strains in Madagascar

Whole-Genome-Sequence-Based Characterization of Extensively Drug-Resistant Acinetobacter baumannii Hospital Outbreak

Genetic Determinants of Resistance to Extended-Spectrum Cephalosporin and Fluoroquinolone in Escherichia coli Isolated from Diseased Pigs in the United States

Emergence of a Novel Salmonella enterica Serotype Reading Clonal Group Is Linked to Its Expansion in Commercial Turkey Production, Resulting in Unanticipated Human Illness in North America

Prophage-Mediated Disruption of Genetic Competence in Staphylococcus pseudintermedius

Metagenomic analysis of ancient dental calculus reveals unexplored diversity of oral archaeal Methanobrevibacter

Novel emm4 lineage associated with an upsurge in invasive group A streptococcal disease in the Netherlands, 2022


code for "Multitask Vision-Language Prompt Tuning" https://arxiv.org/abs/2211.11720

Learning Transferable Visual Models From Natural Language Supervision

ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models

Multitask Vision-Language Prompt Tuning


Human Intracranial High Frequency Oscillations (HFOs) Detected by Automatic Time-Frequency Analysis

Resection of high frequency oscillations predicts seizure outcome in the individual patient

Automatic detection of high frequency oscillations during epilepsy surgery predicts seizure outcome

International Journal of Psychophysiology

The morphology of high frequency oscillations (HFO) does not improve delineating the epileptogenic zone

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology

High-frequency oscillations in scalp EEG mirror seizure frequency in pediatric focal epilepsy

High-density ECoG improves the detection of high frequency oscillations that predict seizure outcome

Prediction of seizure outcome improved by fast ripples detected in low-noise intraoperative corticogram

High frequency oscillations as markers of epileptogenic tissue – End of the party?

Blinded study: prospectively defined high-frequency oscillations predict seizure outcome in individual patients

Epileptic High-Frequency Oscillations in Intracranial EEG Are Not Confounded by Cognitive Tasks


Simple implementation of conditional general adverse nets in pytorch machine learning framework

Conditional Generative Adversarial Nets

Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art


This repository is the official PyTorch implementation of URSCT-SESR: Reinforced Swin-Convs Transformer for Simultaneous Underwater Sensing Scene Image Enhancement and Super-resolution.

U-shape Transformer for Underwater Image Enhancement

Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception

Underwater Image Super-Resolution using Deep Residual Multipliers

IEEE Transactions on Geoscience and Remote Sensing

Reinforced Swin-Convs Transformer for Underwater Image Enhancement


One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles

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

Pchatbot: A Large-Scale Dataset for Personalized Chatbot

Learning Implicit User Profiles for Personalized Retrieval-Based Chatbot

PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021


Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning


DNA序列比对结果 可视化展示工具

The complete and fully-phased diploid genome of a male Han Chinese

Telomere-to-telomere haplotype-resolved reference genome reveals subgenome divergence and disease resistance in triploid Cavendish banana

Evaluation of Intracellular Gene Transfers from Plastome to Nuclear Genome across Progressively Improved Assemblies for Arabidopsis thaliana and Oryza sativa


[CVPRW 2022] MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment

Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network

Region-Adaptive Deformable Network for Image Quality Assessment

Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks


A curated model zoo for recommendation tasks

UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation

SimpleX: A Simple and Strong Baseline for Collaborative Filtering

UNBERT: User-News Matching BERT for News Recommendation

PROCEEDINGS OF THE THIRTIETH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2021

FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction

Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering

IEEE transactions on knowledge and data engineering


the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral

Self-Ensemble Adversarial Training for Improved Robustness

Evaluating the Robustness of Geometry-Aware Instance-Reweighted Adversarial Training

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

Advancing Adversarial Training by Injecting Booster Signal

IEEE transactions on neural networks and learning systems

Revisiting Adversarial Training under Long-Tailed Distributions


Calculate genome wide average nucleotide identity (gwANI) for a multiFASTA alignment

Isolation and Characterization of Two Klebsiella pneumoniae Phages Encoding Divergent Depolymerases

International journal of molecular sciences

Isolation of Four Lytic Phages Infecting Klebsiella pneumoniae K22 Clinical Isolates from Spain

Cucumber Mosaic Virus-Induced Systemic Necrosis in Arabidopsis thaliana: Determinants and Role in Plant Defense

A Novel Bacteriophage Infecting Multi-Drug- and Extended-Drug-Resistant Pseudomonas aeruginosa Strains


Brief Python implementation of Most Permissive Boolean Networks

Reconciling Qualitative, Abstract, and Scalable Modeling of Biological Networks

Most Permissive Semantics of Boolean Networks

Trap spaces of Boolean networks are conflict-free siphons of their Petri net encoding

mpbn: a simple tool for efficient edition and analysis of elementary
  properties of Boolean networks


MClust is a Matlab-based spike sorting toolbox for the separation of putative cells from multi-site neurophysiological recordings.  It is particularly good for tetrodes.

Experience-dependent evolution of odor mixture representations in piriform cortex

Effects of the mGlu2/3 receptor agonist LY379268 on two models of disturbed auditory evoked brain oscillations in mice

Enhancement of mediodorsal thalamus rescues aberrant belief dynamics in a mouse model with schizophrenia-associated mutation

bioRxiv : the preprint server for biology


A generalised, dynamic DNA reference library for metabarcoding of fishes

Next-generation monitoring of aquatic biodiversity using environmental DNA metabarcoding

MiFish, a set of universal PCR primers for metabarcoding environmental DNA from fishes: detection of more than 230 subtropical marine species

ecoPrimers: inference of new DNA barcode markers from whole genome sequence analysis

Surveillance of fish species composition using environmental DNA

DNA metabarcoding of littoral hard-bottom communities: high diversity and database gaps revealed by two molecular markers

DNA metabarcoding for diet analysis and biodiversity: A case study using the endangered Australian sea lion (Neophoca cinerea)

Meta-Fish-Lib: A generalised, dynamic DNA reference library pipeline for metabarcoding of fishes.


A PyTorch implementation of EfficientNet

Deep Residual Learning for Image Recognition

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism


Library to solve Traveling Salesperson Problems with pure Python code

Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning

Time-Constrained Capacitated Vehicle Routing Problem in Urban E-Commerce Delivery

Synergizing Spatial Optimization with Large Language Models for
  Open-Domain Urban Itinerary Planning


A MATLAB codebase to analyze TEM images of soot, which includes new methods associated with this project and a compilation of other pre-existing methods into a single package.

Automated Determination of Aggregate Primary Particle Size Distribution by TEM Image Analysis: Application to Soot

Observations of a Correlation Between Primary Particle and Aggregate Size for Soot Particles

Automated Detection of Primary Particles from Transmission Electron Microscope (TEM) Images of Soot Aggregates in Diesel Engine Environments

Automated primary particle sizing of nanoparticle aggregates by TEM image analysis

Morphology and size of soot from gas flares as a function of fuel and water addition

Technical note: Using k-means to identify soot aggregates in transmission electron microscopy images

Development and validation of a multi-angle light scattering method for fast engine soot mass and size measurements

Characterizing soot in TEM images using a convolutional neural network


A curated link list related to the cryosphere and its subspheres

A new model for global glacier change and sea-level rise

The Potsdam Parallel Ice Sheet Model (PISM-PIK) – Part 1: Model description

Modeling channelized and distributed subglacial drainage in two dimensions

Journal of Geophysical Research: Earth Surface

Modelling the future evolution of glaciers in the European Alps under the EURO-CORDEX RCM ensemble

Runoff evolution in the Swiss Alps: projections for selected high-alpine catchments based on ENSEMBLES scenarios

The Open Global Glacier Model (OGGM) v1.1

Modelling distributed and channelized subglacial drainage: the spacing of channels

A numerical study of hydrologically driven glacier dynamics and subglacial flooding

Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences

Mass-conserving subglacial hydrology in the Parallel Ice Sheet Model version 0.6

Feedbacks between coupled subglacial hydrology and glacier dynamics


Import Climate Indices into R


Implementation of Flexible Conditional Density Estimator

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

Monthly Notices of the Royal Astronomical Society

Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference

ABC–CDE: Toward Approximate Bayesian Computation With Complex High-Dimensional Data and Limited Simulations

Journal of Computational and Graphical Statistics

A composite likelihood approach for inference under photometric redshift uncertainty


TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

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

Stealthy Attack on Large Language Model based Recommendation

Large Language Models meet Collaborative Filtering: An Efficient
  All-round LLM-based Recommender System


BP+OSD: Belief propagation with ordered statistics post-processing for decoding quantum LDPC codes

Decoding across the quantum low-density parity-check code landscape

Bias-tailored quantum LDPC codes

Belief propagation as a partial decoder


Tool for Quantitative Analysis and Visualization of Land Use and Land Cover Change.


A Python package to compute HONEST, a score to measure hurtful sentence completions in language models. Published at NAACL 2021.

HONEST: Measuring Hurtful Sentence Completion in Language Models

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

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

Measuring Harmful Sentence Completion in Language Models for LGBTQIA+ Individuals

Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion

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


Probabilistic modeling of tabular data with normalizing flows.

Density estimation using Real NVP

NICE: Non-linear Independent Components Estimation

Neural Spline Flows

First Impressions: Early-time Classification of Supernovae Using Host-galaxy Information and Shallow Learning

The Sensitivity of GPz Estimates of Photo-z Posterior PDFs to Realistically Complex Training Set Imperfections

Publications of the Astronomical Society of the Pacific

The simulated catalogue of optical transients and correlated hosts (SCOTCH)

Probabilistic Forward Modeling of Galaxy Catalogs with Normalizing Flows


TACCO unifies annotation transfer and decomposition of cell identities for single-cell and spatial omics

A dynamical systems treatment of transcriptomic trajectories in hematopoiesis

CellDestiny: A RShiny application for the visualization and analysis of single-cell lineage tracing data


BISulfite-seq CUI Toolkit

Focal disruption of DNA methylation dynamics at enhancers in IDH-mutant AML cells

Performance comparisons of methylation and structural variants from low-input whole-genome methylation sequencing

CelFiE-ISH: a probabilistic model for multi-cell type deconvolution from single-molecule DNA methylation haplotypes

Genome-wide epigenetic dynamics during postnatal skeletal muscle growth in Hu sheep

Dupsifter: a lightweight duplicate marking tool for whole genome bisulfite sequencing


Normalizing Hi-C contact counts efficiently

HiC-Pro: an optimized and flexible pipeline for Hi-C data processing

Changes in genome organization of parasite-specific gene families during the Plasmodium transmission stages

CTCF loss has limited effects on global genome architecture in Drosophila despite critical regulatory functions

Measuring significant changes in chromatin conformation with ACCOST

covNorm: An R package for coverage based normalization of Hi-C and capture Hi-C data

Computational and structural biotechnology journal


mathLab mirror of Python Dynamic Mode Decomposition

Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems

DYNAMIC MODE DECOMPOSITION: DATA-DRIVEN MODELING OF COMPLEX SYSTEMS

The Optimal Hard Threshold for Singular Values is 4/sqrt(3)

Multiresolution Dynamic Mode Decomposition

Modern Koopman Theory for Dynamical Systems

De-biasing the dynamic mode decomposition for applied Koopman spectral analysis of noisy datasets

Theoretical and Computational Fluid Dynamics

Characterizing and correcting for the effect of sensor noise in the dynamic mode decomposition

Higher Order Dynamic Mode Decomposition

SIAM Journal on Applied Dynamical Systems

Compressed dynamic mode decomposition for background modeling

PyDMD: Python Dynamic Mode Decomposition

Shape Optimization by Means of Proper Orthogonal Decomposition and Dynamic Mode Decomposition


SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.

Secure Quantized Training for Deep Learning

Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy

SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation


A simple, open database of local government climate action plan documents and emissions data.


Monitorización de alumnos en la plataforma Moodle

Monitoring of Student Learning in Learning Management Systems: An Application of Educational Data Mining Techniques

Usefulness of Digital Game-Based Learning in Nursing and Occupational Therapy Degrees: A Comparative Study at the University of Burgos

International journal of environmental research and public health

UBUMonitor: An Open-Source Desktop Application for Visual E-Learning Analysis with Moodle

Teacher Training Effectiveness in Self-Regulation in Virtual Environments


Official cleanlab repo is at https://github.com/cleanlab/cleanlab

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

A Multimodal Late Fusion Model for E-Commerce Product Classification


Satip contains the code necessary for retrieving, transforming and storing EUMETSAT data


A curated repository of Neuro-AI papers.

Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation

Deep neural networks: a new framework for modelling biological vision and brain information processing

Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition

Deep learning for AI

Deep Learning: The Good, the Bad, and the Ugly.

A thousand brains: toward biologically constrained AI

Learning About the World by Learning About Images

Current Directions in Psychological Science


The Pseudo-Boolean Solver MiniSat+

Not all FPRASs are equal: demystifying FPRASs for DNF-counting

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

Encoding Linear Constraints into SAT

Encoding Cardinality Constraints using Generalized Selection Networks


OLAPH: Improving Factuality in Biomedical Long-form Question Answering

Large Language Models Encode Clinical Knowledge

Large language model validity via enhanced conformal prediction methods


[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

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

Augmentation-Free Self-Supervised Learning on Graphs

Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum

Compact Graph Structure Learning via Mutual Information Compression

FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently

IEEE Transactions on Knowledge and Data Engineering

Provable Training for Graph Contrastive Learning


Chromatin States Map in mouse embryonic stem cell

hnRNPK Recruits PCGF3/5-PRC1 to the Xist RNA B-Repeat to Establish Polycomb-Mediated Chromosomal Silencing

Acute depletion of the ARID1A subunit of SWI/SNF complexes reveals distinct pathways for activation and repression of transcription

Dnmt3a knockout in excitatory neurons impairs postnatal synapse maturation and increases the repressive histone modification H3K27me3

The related coactivator complexes SAGA and ATAC control embryonic stem cell self-renewal through acetyltransferase-independent mechanisms

Histone exchange sensors reveal variant specific dynamics in mouse embryonic stem cells


Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces

Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization

High-Dimensional Bayesian Optimization via Tree-Structured Additive Models


Bengali stopwords collection

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

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

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

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

An in-depth exploration of Bangla blog post classification

Bulletin of Electrical Engineering and Informatics

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

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

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

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


Geometric Deep Learning Models for Vehicle Routing Problem

Graph Attention Networks

Inductive Representation Learning on Large Graphs

Exact Combinatorial Optimization with Graph Convolutional Neural Networks


scATAC-seq data analysis tools and papers

Comprehensive integration of single cell data

Fast, sensitive, and accurate integration of single cell data with Harmony

chromVAR: inferring transcription-factor-associated accessibility from single-cell epigenomic data

Single-cell chromatin state analysis with Signac

ArchR is a scalable software package for integrative single-cell chromatin accessibility analysis

A Single-Cell Atlas of In Vivo Mammalian Chromatin Accessibility

Cicero Predicts cis-Regulatory DNA Interactions from Single-Cell Chromatin Accessibility Data.

Comprehensive analysis of single cell ATAC-seq data with SnapATAC

Assessment of computational methods for the analysis of single-cell ATAC-seq data

A single-cell atlas of chromatin accessibility in the human genome


To overcome the limitation and obtain more appropriate control filters, a generative fixed-filter active noise control (GFANC) approach is proposed in this paper. Specifically, various control filters can be generated by using different hard weights to combine pre-trained sub control filters. The hard weights are automatically obtained via a one-dimensional convolutional neural network given the incoming noise.

A Hybrid SFANC-FxNLMS Algorithm for Active Noise Control Based on Deep Learning

Performance Evaluation of Selective Fixed-filter Active Noise Control based on Different Convolutional Neural Networks

Deep Generative Fixed-filter Active Noise Control


The official code of "CSTA: CNN-based Spatiotemporal Attention for Video Summarization"

How Much Position Information Do Convolutional Neural Networks Encode?

Summarizing Videos with Attention

Align and Attend: Multimodal Summarization with Dual Contrastive Losses

Supervised Video Summarization via Multiple Feature Sets with Parallel Attention

Progressive Video Summarization via Multimodal Self-supervised Learning

Video Joint Modelling Based on Hierarchical Transformer for Co-Summarization

IEEE transactions on pattern analysis and machine intelligence


Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks

Deep Learning based Vulnerability Detection: Are We There Yet?

An Empirical Study of Deep Learning Models for Vulnerability Detection

Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection


Official implementation of "Surgical-VQLA: Transformer with Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery", ICRA 2023.

End-to-End Object Detection with Transformers

VisualBERT: A Simple and Performant Baseline for Vision and Language

Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformer


RepBERT is a competitive first-stage retrieval technique. It represents documents and queries with fixed-length contextualized embeddings. The inner products of them are regarded as relevance scores. Its efficiency is comparable to bag-of-words methods.

RepBERT: Contextualized Text Embeddings for First-Stage Retrieval

Learning To Retrieve: How to Train a Dense Retrieval Model Effectively and Efficiently

Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models


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

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

Large-Scale Wasserstein Gradient Flows

Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization

Wasserstein Iterative Networks for Barycenter Estimation

Neural Optimal Transport with General Cost Functionals

Entropic Neural Optimal Transport via Diffusion Processes

Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?

Optimal Flow Matching: Learning Straight Trajectories in Just One Step


Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.

Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning

Discovering and Achieving Goals via World Models

Planning Goals for Exploration


Classification and Gradient-based Localization of Chest Radiographs using PyTorch.

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

Densely Connected Convolutional Networks

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

International Journal of Computer Vision


Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)

Graph Neural Network for Traffic Forecasting: A Survey

Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting

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

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

Graph Neural Rough Differential Equations for Traffic Forecasting

MD-GCN: A Multi-Scale Temporal Dual Graph Convolution Network for Traffic Flow Prediction

Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective


Tri-Party Deep Network Representation, IJCAI-16

A Survey on Network Embedding

Network Representation Learning: A Survey

OCTIS: Comparing and Optimizing Topic models is Simple!

EACL 2021: THE 16TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: PROCEEDINGS OF THE SYSTEM DEMONSTRATIONS

A General Framework for Content-enhanced Network Representation Learning

Zero-shot Node Classification with Decomposed Graph Prototype Network

Parameter Estimation in DAGs from Incomplete Data via Optimal Transport


Embedding Logical Queries on Knowledge Graphs

Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings

Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs

Logic Embeddings for Complex Query Answering


KITTI Odometry Evaluation Toolbox

Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints

RaLL: End-to-End Radar Localization on Lidar Map Using Differentiable Measurement Model

IEEE Transactions on Intelligent Transportation Systems

Dense Prediction Transformer for Scale Estimation in Monocular Visual Odometry

Pose Estimation Utilizing a Gated Recurrent Unit Network for Visual Localization

Transformer-based model for monocular visual odometry: a video understanding approach


An algorithm for recovering haplotypes from metagenomes

On the complexity of haplotyping a microbial community

Computational haplotype recovery and long-read validation identiﬁes novel isoforms of industrially relevant enzymes from natural microbial communities

Aberystwyth Research portal (Aberystwyth University)

Reconstruction of Microbial Haplotypes by Integration of Statistical and Physical Linkage in Scaffolding

Probabilistic recovery of cryptic haplotypes from metagenomic data

Advances in the recovery of haplotypes from the metagenome


The source code of HeCo

Graph Self-Supervised Learning: A Survey

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

A Comprehensive Survey on Community Detection With Deep Learning

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

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


Offical code repository for PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation, EMNLP 2023

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

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


Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)

Membership Inference Attacks against Machine Learning Models

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

Revisiting Membership Inference Under Realistic Assumptions

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

On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models


C++ implemented Coordinate Descent Full Configuration Interaction (CDFCI) package for quantum chemistry calculation.

Coordinate Descent Full Configuration Interaction.

Journal of chemical theory and computation

CoordinateWise Descent Methods for Leading Eigenvalue Problem

Optimal Orbital Selection for Full Configuration Interaction (OptOrbFCI): Pursuing the Basis Set Limit under a Budget

A power series approximation in symmetry projected coupled cluster theory.

Coordinate Descent Full Configuration Interaction for Excited States


MisGAN: Learning from Incomplete Data with GANs

MisGAN: Learning from Incomplete Data with Generative Adversarial Networks

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

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


F4 algorithm C++ library (groebner basis computations over finite fields)

Rings: an efficient Java/Scala library for polynomial rings

Groebner.jl: A package for Gröbner bases computations in Julia


Constraint-Based Question Answering with Knowledge Graph

International Conference on Computational Linguistics

Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Base

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


The server portion of the Neural Chat project to deploy chatbots on web. This code is accompanied by another repository that includes the chatbot models: for training, evaluating and interacting with our open-sourced neural dialog models, use https://github.com/natashamjaques/neural_chat.

Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog

Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems

Human-centric Dialog Training via Offline Reinforcement Learning


Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification

Sparse Graph Attention Networks

Robust Preference-Guided Denoising for Graph based Social Recommendation

Adversarially Robust Neural Architecture Search for Graph Neural Networks

Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification

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

Data Augmentation for Graph Data: Recent Advancements

Combating Bilateral Edge Noise for Robust Link Prediction

A Comparative Study on Robust Graph Neural Networks to Structural Noises


How Powerful are Graph Neural Networks?

Graph Contrastive Learning with Augmentations

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Imbalanced Graph Classification via Graph-of-Graph Neural Networks


Author implementation of the paper "CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge"

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach


A code generator for grid-based PDE solving on CPUs and GPUs

Constraining axion inflation with gravitational waves from preheating

Constraining Axion Inflation with Gravitational Waves across 29 Decades in Frequency

Constraining early dark energy with gravitational waves before recombination

Nonperturbative structure in coupled axion sectors and implications for direct detection

Probing the electroweak symmetry breaking history with gravitational waves

Gauge preheating with full general relativity


Tianchi Competition "Forgeries and Forensics" Track 2

U-Net: Convolutional Networks for Biomedical Image Segmentation

Squeeze-and-Excitation Networks

Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks

MFAN: Multi-Level Features Attention Network for Fake Certificate Image Detection

ReLoc: A Restoration-Assisted Framework for Robust Image Tampering Localization


[NeurIPS 2022] DreamShard: Generalizable Embedding Table Placement for Recommender Systems

Data-centric Artificial Intelligence: A Survey

Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models


A rewrite of hanabi-bot in Scala

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

Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings

Instructive artificial intelligence (AI) for human training, assistance, and explainability

Reinforcement Learning on Human Decision Models for Uniquely Collaborative AI Teammates


Tensorflow implementation of preconditioned stochastic gradient descent

Equilibrated adaptive learning rates for non-convex optimization

Preconditioned Stochastic Gradient Descent

IEEE transactions on neural networks and learning systems

Preconditioner on Matrix Lie Group for SGD

Black Box Lie Group Preconditioners for SGD

Online Second Order Methods for Non-Convex Stochastic Optimizations


A Survey of Large Language Models

The Conditional Analogy GAN: Swapping Fashion Articles on People Images

Image-Based Virtual Try-On: A Survey


A Bayesian Framework for Multiple Trait Colocalization from Summary Association Statistics

Brain Banks Spur New Frontiers in Neuropsychiatric Research and Strategies for Analysis and Validation

基因组蛋白质组与生物信息学报

Transcriptome wide association studies: general framework and methods

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


an easy deindex tool for illumina multiple barcodes sequencing

Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain

deML: robust demultiplexing of Illumina sequences using a likelihood-based approach

Schwann cell precursors represent a neural crest‐like state with biased multipotency


streaming attention networks for end-to-end automatic speech recognition

Transformer-based Online CTC/attention End-to-End Speech Recognition Architecture

Transformer-based Online Speech Recognition with Decoder-end Adaptive Computation Steps

Head-synchronous Decoding for Transformer-based Streaming ASR


seedr: Hydro and Thermal Time Seed Germination Models in R


NetTCR-2.0. Sequence-based prediction of peptide-TCR binding

NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data

Attentive Variational Information Bottleneck for TCR–peptide interaction prediction

AttnTAP: A Dual-input Framework Incorporating the Attention Mechanism for Accurately Predicting TCR-peptide Binding

RACER-m leverages structural features for sparse T cell specificity prediction

TCR-ESM: Employing protein language embeddings to predict TCR-peptide-MHC binding

Computational and structural biotechnology journal


Characterizing Entities in the Bitcoin Blockchain

A Probabilistic Model of the Bitcoin Blockchain


Code for the Paper "Improving Diffusion Model Efficiency Through Patching"

Perception Prioritized Training of Diffusion Models

Progressive Distillation for Fast Sampling of Diffusion Models


Semi-Supervised Variational Reasoning for Medical Dialogue Generation

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

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

BP4ER: Bootstrap Prompting for Explicit Reasoning in Medical Dialogue
  Generation


Plasma waves and instabilities analysis tool, with both kinetic and multi-fluid dispersion relations.

PDRK: A General Kinetic Dispersion Relation Solver for Magnetized Plasma

等离子体科学和技术(英文版)

BORAY: A ray tracing code for various magnetized plasma configurations

BO 2.0: Plasma Wave and Instability Analysis with Enhanced Polarization Calculations

Plasma wave propagation conditions analysis using the warm multi-fluid model


PyTorch implementation of Distribution Correction(DisCor) based on Soft Actor-Critic.

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

Soft Actor-Critic Algorithms and Applications

DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction

Regret Minimization Experience Replay in Off-Policy Reinforcement Learning


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

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

Disease-Associated Circular RNAs: From Biology to Computational Identification

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

International journal of molecular sciences


Code to support: "pcaReduce: hierarchical clustering of single cell transcriptional profiles"

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

DrImpute: imputing dropout events in single cell RNA sequencing data

Single-Cell Transcriptomics Bioinformatics and Computational Challenges


Estimation of Single-Cell Potency with Single Cell Entropy

Ultra-fast scalable estimation of single-cell differentiation potency from scRNA-Seq data

Single-cell entropy for accurate estimation of differentiation potency from a cell’s transcriptome

Estimating Differentiation Potency of Single Cells Using Single-Cell Entropy (SCENT)

Methods in molecular biology (Clifton, N.J.)

FitDevo: accurate inference of single-cell developmental potential using sample-specific gene weight

Charting cellular differentiation trajectories with Ricci flow


AnomalyDAE (ICASSP2020)

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

AnomalyDAE: Dual autoencoder for anomaly detection on attributed networks

DAGAD: Data Augmentation for Graph Anomaly Detection

Generative Semi-supervised Graph Anomaly Detection


Learnable Ophthalmology SAM

Hard Exudate Segmentation Supplemented by Super-Resolution with Multi-scale Attention Fusion Module

SuperVessel: Segmenting High-resolution Vessel from Low-resolution Retinal Image

Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image Segmentation


PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023

Describing Textures in the Wild

The iNaturalist Species Classification and Detection Dataset

How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?

Nearest Neighbor Guidance for Out-of-Distribution Detection


Code for AISTATS 2023 paper - Estimating Total Correlation with Mutual Information Estimators

Representation Learning with Contrastive Predictive Coding

CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information


Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

MUTAN: Multimodal Tucker Fusion for Visual Question Answering

Hadamard Product for Low-rank Bilinear Pooling

Pythia v0.1: the Winning Entry to the VQA Challenge 2018

Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects


Official Code for 'C3-STISR: Scene Text Image Super-resolution with Triple Clues' - IJCAI 2022

Text Prior Guided Scene Text Image Super-Resolution

A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution

Text Gestalt: Stroke-Aware Scene Text Image Super-Resolution


A model and regularization scheme for ultrasonic beamforming clutter reduction

IEEE transactions on ultrasonics, ferroelectrics, and frequency control

Ultrasonic multipath and beamforming clutter reduction: a chirp model approach

A Tutorial on Independent Component Analysis

Computationally Efficient Implementation of Aperture Domain Model Image Reconstruction

A Real-Time, GPU-Based Implementation of Aperture Domain Model Image REconstruction

GENRE (GPU Elastic-Net REgression): A CUDA-Accelerated Package for Massively Parallel Linear Regression with Elastic-Net Regularization


Universal Adversarial Perturbations (UAPs) for PyTorch

Adversarial Patch

Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks

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

Universal Adversarial Robustness of Texture and Shape-Biased Models

International Conference on Information Photonics

Robustness and Transferability of Universal Attacks on Compressed Models

Jacobian Regularization for Mitigating Universal Adversarial Perturbations


Tracked Vehicle Retrieval by NL Challenge in the 2023 AI City Challenge.

The 5th AI City Challenge

The 6th AI City Challenge

CityFlow-NL: Tracking and Retrieval of Vehicles at City Scale by Natural Language Descriptions


code for "PGMAN: An Unsupervised Generative Multi-adversarial Network for Pan-sharpening"

Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review

PGMAN: An Unsupervised Generative Multiadversarial Network for Pansharpening


Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"

Improving Mini-batch Optimal Transport via Partial Transportation

A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods


A service that lists all available and registered STAC catalogs and APIs.


Trim, Align to genome, Deduplicate, Realign WGS sequencing samples

Locally Adaptive Inversions Modulate Genetic Variation at Different Geographic Scales in a Seaweed Fly

Genome assembly, structural variants, and genetic differentiation between Lake Whitefish young species pairs (Coregonus sp.) with long and short reads

Chromosome-level assembly reveals a putative Y-autosomal fusion in the sex determination system of the Greenland Halibut (Reinhardtius hippoglossoides)

Epigenetic and genetic differentiation betweenCoregonusspecies pairs


Code for plant classification with ResNet50.

Top-down Visual Saliency Guided by Captions

Large-Scale Plant Classification with Deep Neural Networks

Application of a Convolutional Neural Network for image classification to the analysis of collisions in High Energy Physics


INCOME: An Easy Repository for Training and Evaluation of Index Compression Methods in Dense Retrieval. Includes BPR and JPQ.

Unsupervised Dense Information Retrieval with Contrastive Learning

Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling

GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval

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


CCTyper: Automatic detection and subtyping of CRISPR-Cas operons

Evolutionary classification of CRISPR–Cas systems: a burst of class 2 and derived variants

RNA-guided DNA insertion with CRISPR-associated transposases

Transposon-encoded CRISPR–Cas systems direct RNA-guided DNA integration

Programmable RNA editing with compact CRISPR–Cas13 systems from uncultivated microbes

CRISPRCasTyper: Automated Identification, Annotation, and Classification of CRISPR-Cas Loci

Type IV CRISPR–Cas systems are highly diverse and involved in competition between plasmids

CRISPRCasTyper: An automated tool for the identification, annotation and classification of CRISPR-Cas loci

Comparative Genomics of Xylella fastidiosa Explores Candidate Host-Specificity Determinants and Expands the Known Repertoire of Mobile Genetic Elements and Immunity Systems

Novel Type V-A CRISPR Effectors Are Active Nucleases with Expanded Targeting Capabilities

Comparative Analysis and Phylogenetic Insights of Cas14-Homology Proteins in Bacteria and Archaea


Record my work in transfer learning during my postgraduate period.

Improved Training of Wasserstein GANs

Learning Transferable Features with Deep Adaptation Networks

Wasserstein GAN

Deep Domain Confusion: Maximizing for Domain Invariance

Wasserstein Distance Guided Representation Learning for Domain Adaptation

Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation

DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation

Optimal Transport for Multi-source Domain Adaptation under Target Shift

Deep multi-Wasserstein unsupervised domain adaptation


A toolbox of Hawkes processes

A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering

Learning Hawkes Processes from Short Doubly-Censored Event Sequences

CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods

THAP: A Matlab Toolkit for Learning with Hawkes Processes

Modeling Events and Interactions through Temporal Processes -- A Survey


rGAN: Label-Noise Robust Generative Adversarial Networks

Conditional Generative Adversarial Nets

Conditional Image Synthesis With Auxiliary Classifier GANs

Robustness of Conditional GANs to Noisy Labels


DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks

Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks

SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data

Dynamic and Interpretable Hazard-Based Models of Traffic Incident Durations

Decoding kinase-adverse event associations for small molecule kinase inhibitors

Neural Fine-Gray: Monotonic neural networks for competing risks

A Large-Scale Neutral Comparison Study of Survival Models on
  Low-Dimensional Data


Code for the paper "RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models" (EMNLP 2021)

ONION: A Simple and Effective Defense Against Textual Backdoor Attacks

Backdoor Attack against NLP models with Robustness-Aware Perturbation defense


NeurIPS 2020, "A Topological Filter for Learning with Label Noise".

Learning from Noisy Labels with Deep Neural Networks: A Survey

Error-Bounded Correction of Noisy Labels