[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition

Towards End-to-End License Plate Detection and Recognition: A Large Dataset and Baseline

Adversarial Attacks and Defenses for Semantic Communication in Vehicular Metaverses

SuperOCR: A Conversion from Optical Character Recognition to Image Captioning

Do We Train on Test Data? The Impact of Near-Duplicates on License Plate Recognition

A Light Vehicle License-Plate-Recognition System Based on Hybrid Edge–Cloud Computing

Exploration of an End-to-End Automatic Number-plate Recognition neural
  network for Indian datasets


Creative Commons Attribution 4.0 International

XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning

MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer

Language Models are Multilingual Chain-of-Thought Reasoners

Is Supervised Syntactic Parsing Beneficial for Language Understanding Tasks? An Empirical Investigation


Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery

Low-Shot Learning for the Semantic Segmentation of Remote Sensing Imagery

A tutorial on modelling and inference in undirected graphical models for hyperspectral image analysis

EarthMapper: A Tool Box for the Semantic Segmentation of Remote Sensing Imagery


[ICME 2022] CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving

Rethinking Range View Representation for LiDAR Segmentation

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Benchmarking the Robustness of LiDAR Semantic Segmentation Models

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation


ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

Journey Towards Tiny Perceptual Super-Resolution

Generative Adversarial Networks for Image Augmentation in Agriculture: A
  Systematic Review

Crop Disease Classification on Inadequate Low-Resolution Target Images

Model Specialization for the Use of ESRGAN on Satellite and Airborne Imagery

Exploiting Digital Surface Models for Inferring Super-Resolution for Remotely Sensed Images


code and data to faciliate BERT/ELECTRA for document ranking. Details refer to the paper - PARADE: Passage Representation Aggregation for Document Reranking.

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

The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval


Krylov subspace methods package for Python

Preconditioned Recycling Krylov subspace methods for self-adjoint
  problems

Time-dependent Dirichlet Conditions in Finite Element Discretizations

Continuous, Semi-discrete, and Fully Discretized Navier-Stokes Equations


ShapeNet: An Information-Rich 3D Model Repository

CAD-Estate: Large-scale CAD Model Annotation in RGB Videos


PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.

Communication-Efficient Learning of Deep Networks from Decentralized Data

Federated Optimization in Heterogeneous Networks

Federated Learning with Non-IID Data

Fair detection of poisoning attacks in federated learning on non-i.i.d. data

International Conference on Tools with Artificial Intelligence


Datasets of the daily Twitter output of Congress.

Identifying Morality Frames in Political Tweets using Relational Learning

A Holistic Framework for Analyzing the COVID-19 Vaccine Debate

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

Early detection of internet trolls: Introducing an algorithm based on word pairs / single words multiple repetition ratio

Modeling Behavioral Aspects of Social Media Discourse for Moral Classification

Understanding Troll Writing as a Linguistic Phenomenon

Self Promotion in US Congressional Tweets

Morality and the Glass Ceiling: How Elite Rhetoric Reflects Gendered Strategies and Perspectives


Interface for the Basic Local Alignment Search Tool (BLAST) - R-Package

Regulatory and coding sequences of TRNP1 co-evolve with brain size and cortical folding in mammals

Chromosome-level phased genome assembly of “Antonovka” identified candidate apple scab-resistance genes highly homologous to HcrVf2 and HcrVf1 on linkage group 1

The Evidential Statistics of Genetic Assembly: Bootstrapping a Reference Sequence


An end-to-end framework for mixed-integer optimization with data-driven learned constraints.

OMLT: Optimization & Machine Learning Toolkit

Mixed-Integer Optimization with Constraint Learning

Optimization with Constraint Learning: A Framework and Survey

On data-driven chance constraint learning for mixed-integer optimization problems

Counterfactual Explanations Using Optimization With Constraint Learning


This repository will be posting analytic continual learning series, including Analytic Class-Incremental Learning (ACIL), Gaussian Kernel Embedded Analytic Learning (GKEAL), Dual-Stream Analytic Learning (DS-AL), etc.

GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task

ACIL: Analytic Class-Incremental Learning with Absolute Memorization and
  Privacy Protection


Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper:  Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams.  Advances in Neural Information Processing Systems, 2012

Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

A Tutorial on Bayesian Optimization

Recurrent Neural Networks for Time Series Forecasting: Current status and future directions

Freeze-Thaw Bayesian Optimization

Bayesian Optimization for Materials Design

A Roadmap for HEP Software and Computing R&D for the 2020s

Deep Feature Learning for EEG Recordings

The Role of Context Types and Dimensionality in Learning Word Embeddings

Combinatorial Bayesian Optimization using the Graph Cartesian Product


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

Counterfactual Data Augmentation using Locally Factored Dynamics

MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks

MoCoDA: Model-based Counterfactual Data Augmentation

A Survey on Causal Reinforcement Learning

Bilinear value networks

Stein Variational Goal Generation for adaptive Exploration in Multi-Goal
  Reinforcement Learning


code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling

AlphaNet: Improved Training of Supernets with Alpha-Divergence

Supernet Training for Federated Image Classification under System
  Heterogeneity


P4-NetFPGA wiki

P4-IPsec: Site-to-Site and Host-to-Site VPN with IPsec in P4-Based SDN

P4-MACsec: Dynamic Topology Monitoring and Data Layer Protection With MACsec in P4-Based SDN

Anonymizing Masses: Practical Light-weight Anonymity at the Network Level


MXfold2: RNA secondary structure prediction using deep learning with thermodynamic integration

Recent trends in RNA informatics: a review of machine learning and deep learning for RNA secondary structure prediction and RNA drug discovery

PKM2 controls the translation of TFE3 to maintain the integrity of the Golgi apparatus for the survival of HeLa and ME‐180 cervical cancer cells


A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.

A simple yet effective baseline for 3d human pose estimation

Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective

Enhancing Egocentric 3D Pose Estimation with Third Person Views


The implementation of "A Weakly-supervised Framework for COVID-19 Classification and Lesion Localization from Chest CT"

Deep Learning-based Detection for COVID-19 from Chest CT using Weak Label

A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT

COVID-19 Control by Computer Vision Approaches: A Survey

IEEE access : practical innovations, open solutions

A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19

Computer Vision For COVID-19 Control: A Survey

Comparison and ensemble of 2D and 3D approaches for COVID-19 detection in CT images


Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".

Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness

On the Practicality of Deterministic Epistemic Uncertainty

Training, Architecture, and Prior for Deterministic Uncertainty Methods

Beyond AUROC & co. for evaluating out-of-distribution detection
  performance


[ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang;      [WSDM 2022] "Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

Graph Contrastive Learning with Augmentations

Graph Contrastive Learning Automated

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

Graph Self-supervised Learning with Accurate Discrepancy Learning

Data Augmentation on Graphs: A Technical Survey

State of the Art and Potentialities of Graph-level Learning

Spectral Augmentations for Graph Contrastive Learning


Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction
  Model

ForceFormer: Exploring Social Force and Transformer for Pedestrian Trajectory Prediction

RTGNN: A Novel Approach to Model Stochastic Traffic Dynamics


Equilibrium Propagation: Bridging the Gap Between Energy-Based Models and Backpropagation

Equivalence of Equilibrium Propagation and Recurrent Backpropagation

Generalization of Equilibrium Propagation to Vector Field Dynamics

A deep learning theory for neural networks grounded in physics


Implementation of Visual Transformer for Small-size Datasets

Vision Transformer for Small-Size Datasets

Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model

NoMorelization: Building Normalizer-Free Models from a Sample's
  Perspective


Creative Commons Attribution Share Alike 4.0 International

Korean HateSpeech Dataset

BEEP! Korean Corpus of Online News Comments for Toxic Speech Detection

Exploring the Data Efficiency of Cross-Lingual Post-Training in Pretrained Language Models

K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online
  News Comment


Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)

Attribute-based Representations for Accurate and Interpretable Video
  Anomaly Detection

No Free Lunch: The Hazards of Over-Expressive Representations in Anomaly
  Detection


MeanSum: A Neural Model for Unsupervised Multi-document Abstractive Summarization

Unsupervised Opinion Summarization with Noising and Denoising

Unsupervised Opinion Summarization with Content Planning

Self-Supervised and Controlled Multi-Document Opinion Summarization

TransSum: Translating Aspect and Sentiment Embeddings for Self-Supervised Opinion Summarization

Meeting of the Association for Computational Linguistics

Comparative Opinion Summarization via Collaborative Decoding

An Unsupervised Masking Objective for Abstractive Multi-Document News
  Summarization


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

Deep Learning Meets SAR

TWC-Net: A SAR Ship Detection Using Two-Way Convolution and Multiscale Feature Mapping

A Bridge Neural Network-Based Optical-SAR Image Joint Intelligent Interpretation Framework


A RST Parser with a trained model

Beyond News Contents: The Role of Social Context for Fake News Detection

Representation Learning for Text-level Discourse Parsing

PROCEEDINGS OF THE 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1

Discourse-Aware Neural Extractive Text Summarization

Fake News Early Detection: An Interdisciplinary Study

The Role of User Profile for Fake News Detection

Better Document-level Sentiment Analysis from RST Discourse Parsing

ReCOVery: A Multimodal Repository for COVID-19 News Credibility Research

International Conference on Information and Knowledge Management

Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation

Neural Discourse Structure for Text Categorization

Cross-lingual RST Discourse Parsing


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


1st Solution For ICDAR 2021 Competition on Mathematical Formula Detection（公式检测冠军方案）

FCOS: Fully Convolutional One-Stage Object Detection

ResNeSt: Split-Attention Networks

Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection

FormulaNet: A Benchmark Dataset for Mathematical Formula Detection

1st Place Solution for ICDAR 2021 Competition on Mathematical Formula Detection


Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement

Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information

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

Semi-Autoregressive Image Captioning

Layer-Wise Multi-View Learning for Neural Machine Translation


[ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, and image enhancement.

Multi-Stage Progressive Image Restoration

Restormer: Efficient Transformer for High-Resolution Image Restoration

Learning Enriched Features for Fast Image Restoration and Enhancement

CycleISP: Real Image Restoration via Improved Data Synthesis

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results


GPT2 for Chinese chitchat/用于中文闲聊的GPT2模型(实现了DialoGPT的MMI思想)

A Large-Scale Chinese Short-Text Conversation Dataset

MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generation

On the Generation of Medical Dialogues for COVID19

RAST: Domain-Robust Dialogue Rewriting as Sequence Tagging

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

On the Generation of Medical Dialogues for COVID-19

Restatement and Question Generation for Counsellor Chatbot

Proceedings of the 1st Workshop on NLP for Positive Impact

Robust Dialogue Utterance Rewriting as Sequence Tagging


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

Towards Universal Fake Image Detectors that Generalize Across Generative Models


Transfer learning for time series classification

Deep learning for time series classification

A Survey on Time-Series Pre-Trained Models


CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization

Learning from Noisy Labels with Deep Neural Networks: A Survey

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

Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks

Open-set Label Noise Can Improve Robustness Against Inherent Label Noise

Wasserstein Adversarial Regularization (WAR) on label noise

GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation

Label Noise-Robust Learning using a Confidence-Based Sieving Strategy


PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)

Scalable Graph Neural Networks via Bidirectional Propagation

Topology-Imbalance Learning for Semi-Supervised Node Classification

Node Dependent Local Smoothing for Scalable Graph Learning

Approximate Graph Propagation

IGLU: Efficient GCN Training via Lazy Updates


Data/Code Repository for https://api.semanticscholar.org/CorpusID:218470122

SciREX: A Challenge Dataset for Document-Level Information Extraction

ToolQA: A Dataset for LLM Question Answering with External Tools

Document-level Entity-based Extraction as Template Generation

CitationIE: Leveraging the Citation Graph for Scientific Information Extraction

Automatic Error Analysis for Document-level Information Extraction

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


PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

An Empirical Study of Training Self-Supervised Vision Transformers

Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models

General Facial Representation Learning in a Visual-Linguistic Manner

Bridging the Gap to Real-World Object-Centric Learning

Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised
  Domain Adaptation

Robust Contrastive Learning against Noisy Views

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

Why Are Conditional Generative Models Better Than Unconditional Ones?

SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners


ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning

Do LLMs Work on Charts? Designing Few-Shot Prompts for Chart Question
  Answering and Summarization

Program Synthesis for Complex QA on Charts via Probabilistic Grammar Based Filtered Iterative Back-Translation

Findings of the Association for Computational Linguistics: EACL 2023


A large-scale multilingual dataset for Information Retrieval. Thorough human-annotations across 18 diverse languages.

Making a MIRACL: Multilingual Information Retrieval Across a Continuum
  of Languages

Overview of the TREC 2022 NeuCLIR Track

Synthetic Cross-language Information Retrieval Training Data


SpeechGPT Series: Speech Large Language Models

SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities

X-LLM: Bootstrapping Advanced Large Language Models by Treating
  Multi-Modalities as Foreign Languages


Bayesian neural network package

Scalable Bayesian Optimization Using Deep Neural Networks

Bayesian Optimization with Robust Bayesian Neural Networks

How Powerful are Performance Predictors in Neural Architecture Search?

Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection

Neural Architecture Generator Optimization

Large Language Models to Enhance Bayesian Optimization

Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model

Do Bayesian Variational Autoencoders Know What They Don't Know?

Deep Pipeline Embeddings for AutoML

Neural-BO: A Black-box Optimization Algorithm using Deep Neural Networks


2nd solution of ICDAR 2021 Competition on Scientific Literature Parsing, Task B.

Shape Robust Text Detection with Progressive Scale Expansion Network

Image-based table recognition: data, model, and evaluation

MASTER: Multi-Aspect Non-local Network for Scene Text Recognition

PingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Literature Parsing Task B: Table Recognition to HTML.

Improving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modeling


Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.

Randomized Ensembled Double Q-Learning: Learning Fast Without a Model

Dropout Q-Functions for Doubly Efficient Reinforcement Learning

Synthetic Experience Replay

Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback

Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy

DNS: Determinantal Point Process Based Neural Network Sampler for
  Ensemble Reinforcement Learning

Balancing Value Underestimation and Overestimationwith Realistic Actor-Critic

Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control
  via Sample Multiple Reuse

Simplified Temporal Consistency Reinforcement Learning


TensorFlow implementations of Graph Neural Networks

Deep Learning on Graphs: A Survey

Adversarial Examples for Models of Code

GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation

Graph-based Molecular Representation Learning


A Constrained Text Generation Challenge Towards Generative Commonsense Reasoning

CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning

Gradient-Based Constrained Sampling from Language Models

AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation

Constrained Text Generation with Global Guidance -- Case Study on
  CommonGen


Source code of paper "[NIPS2017] Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model"

TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting

A Three-dimensional Convolutional-Recurrent Network for Convective Storm Nowcasting

International Conference on Big Knowledge


Open-source stronger baseline for unsupervised or domain adaptive object re-ID.

Performance Measures and a Data Set for Multi-target, Multi-camera Tracking

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

Group-aware Label Transfer for Domain Adaptive Person Re-identification

Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification

Dynamic Gradient Reactivation for Backward Compatible Person
  Re-identification


Yet another PyTorch implementation of Tacotron 2 with reduction factor and faster training speed.

Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions

Investigating on Incorporating Pretrained and Learnable Speaker Representations for Multi-Speaker Multi-Style Text-to-Speech

Towards Robust Neural Vocoding for Speech Generation: A Survey

Parallel Synthesis for Autoregressive Speech Generation


KG-BERT: BERT for Knowledge Graph Completion

A Comprehensive Survey of AI-Generated Content (AIGC): A History of
  Generative AI from GAN to ChatGPT

On the Role of Conceptualization in Commonsense Knowledge Graph Construction.

Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce

Multi-Task Learning and Improved TextRank for Knowledge Graph Completion

Commonsense Knowledge Mining from Term Definitions


Batch effect adjustment based on negative binomial regression for RNA sequencing count data

Plasma Metabolomics Reveals Dysregulated Metabolic Signatures in HIV-Associated Immune Reconstitution Inflammatory Syndrome

Prior anti-CTLA-4 therapy impacts molecular characteristics associated with anti-PD-1 response in advanced melanoma.

Transcriptional profiling of Hutchinson-Gilford Progeria syndrome fibroblasts reveals deficits in mesenchymal stem cell commitment to differentiation related to early events in endochondral ossification

Differential contributions of nuclear lamina association and genome compartmentalization to gene regulation

An in silico approach to the identification of diagnostic and prognostic markers in low-grade gliomas


Graph Neural Networks for Irregular Time Series

Graph-Guided Network for Irregularly Sampled Multivariate Time Series

Improving Medical Predictions by Irregular Multimodal Electronic Health
  Records Modeling

Time Series as Images: Vision Transformer for Irregularly Sampled Time
  Series

Modelling Irregularly Sampled Time Series Without Imputation

Blood Glucose Level Prediction: A Graph-based Explainable Method with
  Federated Learning


Bayesian Deep Learning Benchmarks

On the Expressiveness of Approximate Inference in Bayesian Neural Networks

A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks

Depth Uncertainty in Neural Networks

Wat zei je? Detecting Out-of-Distribution Translations with Variational
  Transformers

Pathologies of Factorised Gaussian and MC Dropout Posteriors in Bayesian Neural Networks.

Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations?

A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality

The journal of machine learning for biomedical imaging


PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

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

A Comprehensive Survey of AI-Generated Content (AIGC): A History of
  Generative AI from GAN to ChatGPT

Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models

Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA

Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles

Separating Skills and Concepts for Novel Visual Question Answering

Deep multimodal fusion of image and non-image data in disease diagnosis and prognosis: a review

Probing Contextual Language Models for Common Ground with Visual Representations

Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge

Data Efficient Masked Language Modeling for Vision and Language


Bootstrapping Entity Alignment with Knowledge Graph Embedding, IJCAI 2018

SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs

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

On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods

Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned

Two-Stage Entity Alignment: Combining Hybrid Knowledge Graph Embedding with Similarity-Based Relation Alignment

Pacific Rim International Conference on Artificial Intelligence

A Self-supervised Method for Entity Alignment

An Adversarial Transfer Network for Knowledge Representation Learning


Official repository of STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech, INTERSPEECH 2021

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

FastSpeech: Fast, Robust and Controllable Text to Speech

Unsupervised Speech Decomposition via Triple Information Bottleneck


❄ Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119

Visual Prompt Tuning

Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning

Learning Expressive Prompting With Residuals for Vision Transformers

Dynamic Prompting: A Unified Framework for Prompt Tuning

Distribution-Aware Prompt Tuning for Vision-Language Models

Distilling from Similar Tasks for Transfer Learning on a Budget


日本語における不適切表現を収集します。自然言語処理の時のデータクリーニング用等に使えると思います。

Coco-Nut: Corpus of Japanese Utterance and Voice Characteristics
  Description for Prompt-based Control


A Span-Extraction Dataset for Chinese Machine Reading Comprehension  (CMRC 2018)

Empirical Methods in Natural Language Processing

Cross-Lingual Machine Reading Comprehension

BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels

Symmetric Regularization based BERT for Pair-wise Semantic Reasoning

Developing a How-to Tip Machine Comprehension Dataset and its Evaluation in Machine Comprehension by BERT

Proceedings of the Third Workshop on Fact Extraction and VERification (FEVER)


webshell sample for WebShell Log Analysis

WebShell Attack Detection Based on a Deep Super Learner

Research on WebShell Detection Method Based on Regularized Neighborhood Component Analysis (RNCA)

BERT-Embedding-Based JSP Webshell Detection on Bytecode Level Using XGBoost


Finding Tiny Faces in PyTorch

Hypercolumns for Object Segmentation and Fine-grained Localization

NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization

Congested Crowd Instance Localization with Dilated Convolutional Swin
  Transformer

Learning Independent Instance Maps for Crowd Localization

How important are faces for person re-identification?

Boosting High-Level Vision with Joint Compression Artifacts Reduction and Super-Resolution

LDC-Net: A Unified Framework for Localization, Detection and Counting in Dense Crowds


NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables

MambaTab: A Simple Yet Effective Approach for Handling Tabular Data

Towards Cross-Table Masked Pretraining for Web Data Mining

UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science


Fast anchor free Object Detection based on CenterNet (Objects As Points) and TTFNet (Training-Time-Friendly Network). Implemented in TensorFlow 2.4+.

Deformable Convolutional Networks

Objects as Points

CenterNet: Keypoint Triplets for Object Detection

Training-Time-Friendly Network for Real-Time Object Detection


Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm

Optimal Transport-based Alignment of Learned Character Representations for String Similarity

Learning to Feel Textures: Predicting Perceptual Similarities From Unconstrained Finger-Surface Interactions

Aligning Hyperbolic Representations: an Optimal Transport-based approach

Learning Sinkhorn divergences for supervised change point detection

Parametric Adversarial Divergences are Good Losses for Generative
  Modeling


Code for MOPO: Model-based Offline Policy Optimization

COMBO: Conservative Offline Model-Based Policy Optimization

Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement
  Learning

Double Check Your State Before Trusting It: Confidence-Aware
  Bidirectional Offline Model-Based Imagination

Model-based Offline Reinforcement Learning with Count-based Conservatism

Planning with Sequence Models through Iterative Energy Minimization

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

Uncertainty-driven Trajectory Truncation for Data Augmentation in
  Offline Reinforcement Learning


EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.

Video-based AI for beat-to-beat assessment of cardiac function

Deep Learning Discovery of Demographic Biomarkers in Echocardiography

Uncertainty Estimation in Deep 2D Echocardiography Segmentation


:man:  Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

CNN-Based Real-Time Dense Face Reconstruction with Inverse-Rendered Photo-Realistic Face Images

Joint 3D facial shape reconstruction and texture completion from a single image


IOBR is an R package to perform comprehensive analysis of tumor microenvironment and signatures for immuno-oncology.

IOBR: Multi-omics Immuno-Oncology Biological Research to decode tumor microenvironment and signatures

PET/CT Imaging of Activated Cancer-Associated Fibroblasts Predict Response to PD-1 Blockade in Gastric Cancer Patients

Immunosuppressive Microenvironment Revealed by Immune Cell Landscape in Pre-metastatic Liver of Colorectal Cancer

Identification and investigation of depression-related molecular subtypes in inflammatory bowel disease and the anti-inflammatory mechanisms of paroxetine

Clinical significance of FBXO43 in hepatocellular carcinoma and its impact on tumor cell proliferation, migration and invasion


Implementation of the image-sentence embedding method described in "Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models"

Order-Embeddings of Images and Language

Multimodal Convolutional Neural Networks for Matching Image and Sentence

VSE++: Improved Visual-Semantic Embeddings.

Focused Evaluation for Image Description with Binary Forced-Choice Tasks

Multimedia Semantic Integrity Assessment Using Joint Embedding Of Images And Text

PROCEEDINGS OF THE 2017 ACM MULTIMEDIA CONFERENCE (MM'17)


Code and documentation for experiments in the TreeExplainer paper

Explainable AI for Trees: From Local Explanations to Global Understanding

Improving performance of deep learning models with axiomatic attribution priors and expected gradients

Model independent feature attributions: Shapley values that uncover non-linear dependencies


DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.

Understanding and Preventing Capacity Loss in Reinforcement Learning

The Difficulty of Passive Learning in Deep Reinforcement Learning

Understanding plasticity in neural networks

Ensemble Bootstrapping for Q-Learning

Reinforcement Learning with Latent Flow

Deep Reinforcement Learning with Plasticity Injection

Bridging the Gap Between Target Networks and Functional Regularization

Provable and Practical: Efficient Exploration in Reinforcement Learning
  via Langevin Monte Carlo

HyperAgent: A Simple, Scalable, Efficient and Provable Reinforcement Learning Framework for Complex Environments

A Cramér Distance perspective on Quantile Regression based
  Distributional Reinforcement Learning


PyTorch implementation of Barlow Twins.

Barlow Twins: Self-Supervised Learning via Redundancy Reduction

Representational Continuity for Unsupervised Continual Learning

Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised
  Domain Adaptation

No Reason for No Supervision: Improved Generalization in Supervised Models

A Study of the Generalizability of Self-Supervised Representations

Do We Really Need to Learn Representations from In-domain Data for Outlier Detection?

Continual Barlow Twins: Continual Self-Supervised Learning for Remote Sensing Semantic Segmentation

Blockwise Self-Supervised Learning at Scale

An Empirical Study on Disentanglement of Negative-free Contrastive
  Learning

Computer Vision Self-supervised Learning Methods on Time Series


Code for paper Fine-tune BERT for Extractive Summarization

Friendly Topic Assistant for Transformer Based Abstractive Summarization

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP)

AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization

EntSUM: A Data Set for Entity-Centric Extractive Summarization

What's in your Head? Emergent Behaviour in Multi-Task Transformer Models

EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering

Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection


Continuous CBS - a modification of conflict based search algorithm, that allows to perform actions (move, wait) of arbitrary duration. Timeline is not discretized, i.e. is continuous.

Multi-Agent Pathfinding with Continuous Time

Improving Continuous-time Conflict Based Search

Periodic Multi-Agent Path Planning


[NeurIPS2023] This is the official code of the paper "GlyphControl: Glyph Conditional Control for Visual Text Generation"

Character-Aware Models Improve Visual Text Rendering

GlyphDraw: Seamlessly Rendering Text with Intricate Spatial Structures
  in Text-to-Image Generation


Pytorch implementation of Center Loss

A Discriminative Feature Learning Approach for Deep Face Recognition

C3VQG: Category Consistent Cyclic Visual Question Generation

Towards Unbiased Visual Emotion Recognition via Causal Intervention

Class Anchor Clustering: a Distance-based Loss for Training Open Set Classifiers


Multimodal Mixture-of-Experts VAE

Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models

Self-supervised Disentanglement of Modality-Specific and Shared Factors Improves Multimodal Generative Models

Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts

How to Sense the World: Leveraging Hierarchy in Multimodal Perception
  for Robust Reinforcement Learning Agents

Pipeline-Invariant Representation Learning for Neuroimaging

Discriminative Multimodal Learning via Conditional Priors in Generative Models


Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)

Adaptive Memory Networks with Self-supervised Learning for Unsupervised
  Anomaly Detection

Detecting Anomalies within Time Series using Local Neural
  Transformations

Correlation-aware Spatial-Temporal Graph Learning for Multivariate
  Time-series Anomaly Detection

Coupled Attention Networks for Multivariate Time Series Anomaly Detection


This reporsitory contains metadata of WavCaps dataset and codes for downstream tasks.

WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for
  Audio-Language Multimodal Research

Weakly-supervised Automated Audio Captioning via text only training


XNLI: Evaluating Cross-lingual Sentence Representations

From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers

Is Supervised Syntactic Parsing Beneficial for Language Understanding Tasks? An Empirical Investigation

On the Calibration of Massively Multilingual Language Models

PENELOPIE: Enabling Open Information Extraction for the Greek Language through Machine Translation

Identifying the Correlation Between Language Distance and Cross-Lingual Transfer in a Multilingual Representation Space

Leveraging Relaxed Equilibrium by Lazy Transition for Sequence Modeling


Differentially Private Optimization for PyTorch  ♀

Deep Learning with Differential Privacy

Conference on Computer and Communications Security

A General Approach to Adding Differential Privacy to Iterative Training Procedures

Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification

Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization

Kamino: Constraint-Aware Differentially Private Data Synthesis

The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection

Private Stochastic Non-Convex Optimization: Adaptive Algorithms and
  Tighter Generalization Bounds

Privacy-Preserving Models for Legal Natural Language Processing

d3p - A Python Package for Differentially-Private Probabilistic Programming

Federated Quantum Machine Learning with Differential Privacy


AAAI'21: Data Augmentation for Graph Neural Networks

Graph Augmentation Learning

Data Augmentation on Graphs: A Technical Survey

Data Augmentation for Graph Data: Recent Advancements


ERNIE-Doc: A Retrospective Long-Document Modeling Transformer

Capturing Global Informativeness in Open Domain Keyphrase Extraction

A Survey on Recent Advances in Keyphrase Extraction from Pre-trained Language Models


Bilinear Attention Networks

Multi-modal Factorized Bilinear Pooling with Co-Attention Learning for Visual Question Answering

Beyond Bilinear: Generalized Multimodal Factorized High-Order Pooling for Visual Question Answering

IEEE transactions on neural networks and learning systems


Randomly subsample sequencing reads

Comparison of long-read sequencing technologies in the hybrid assembly of complex bacterial genomes

Oxford Nanopore R10.4 long-read sequencing enables the generation of near-finished bacterial genomes from pure cultures and metagenomes without short-read or reference polishing

Rasusa: Randomly subsample sequencing reads to a specified coverage

A complete high-quality MinION nanopore assembly of an extensively drug-resistant Mycobacterium tuberculosis Beijing lineage strain identifies novel variation in repetitive PE/PPE gene regions

Optimized use of Oxford Nanopore flowcells for hybrid assemblies

A high-quality reference genome for the fission yeastSchizosaccharomyces osmophilus

Bactabolize: A tool for high-throughput generation of bacterial strain-specific metabolic models

A chromosome-level reference genome and pangenome for barn swallow population genomics

A step forward for Shiga toxin-producing Escherichia coli identification and characterization in raw milk using long-read metagenomics

Automated antimicrobial susceptibility testing and antimicrobial resistance genotyping using Illumina and Oxford Nanopore Technologies sequencing data among Enterobacteriaceae


This branch is developed for deep face recognition

NormFace: L2 Hypersphere Embedding for Face Verification

FReLU: Flexible Rectified Linear Units for Improving Convolutional Neural Networks

Regularizing Face Verification Nets For Pain Intensity Regression

DocFace: Matching ID Document Photos to Selfies

DocFace+: ID Document to Selfie Matching

SeqFace: Make full use of sequence information for face recognition

A simple and effective postprocessing method for image classification


Token level embeddings from BERT model on mxnet and gluonnlp

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

Transfer Learning for Named Entity Recognition in Financial and Biomedical Documents

BRUMS at SemEval-2020 Task 3: Contextualised Embeddings for Predicting the (Graded) Effect of Context in Word Similarity

Event-Related Bias Removal for Real-time Disaster Events


Code of NIPS18 Paper: BRITS: Bidirectional Recurrent Imputation for Time Series

SAITS: Self-Attention-based Imputation for Time Series

Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural
  Networks

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

Gradient Importance Learning for Incomplete Observations

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

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

PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation

SRI-EEG: State-Based Recurrent Imputation for EEG Artifact Correction


Diarization scoring tools.

CHiME-6 Challenge: Tackling Multispeaker Speech Recognition for Unsegmented Recordings

The Second DIHARD Diarization Challenge: Dataset, task, and baselines

Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: Theory, implementation and analysis on standard tasks

The Third DIHARD Diarization Challenge

Third DIHARD Challenge Evaluation Plan

Automated evaluation of psychotherapy skills using speech and language technologies

Analysis of the BUT Diarization System for VoxConverse Challenge

Supervised online diarization with sample mean loss for multi-domain data

DOVER: A Method for Combining Diarization Outputs

A Comprehensive Evaluation of Incremental Speech Recognition and Diarization for Conversational AI

International Conference on Computational Linguistics


Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.

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

Korean clinical entity recognition from diagnosis text using BERT

BMC medical informatics and decision making

English Recipe Flow Graph Corpus

PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020)

Comparing Machine Learning and Deep Learning Approaches on NLP Tasks for the Italian Language

Concept Extraction Using Pointer-Generator Networks

Building a Task-oriented Dialog System for Languages with no Training Data: the Case for Basque

Sentence-Level Resampling for Named Entity Recognition

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


【AAAI'2023 & IJCV】Transferring Vision-Language Models for Visual Recognition: A Classifier Perspective

Revisiting Classifier: Transferring Vision-Language Models for Video Recognition

Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval?

Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models


An SE(3)-invariant autoencoder for generating the periodic structure of materials [ICLR 2022]

GemNet: Universal Directional Graph Neural Networks for Molecules

Fast and Uncertainty-Aware Directional Message Passing for
  Non-Equilibrium Molecules

Crystal Diffusion Variational Autoencoder for Periodic Material
  Generation

Inverse design of next-generation superconductors using data-driven deep
  generative models

The journal of physical chemistry letters

Crystal Structure Prediction by Joint Equivariant Diffusion


Code clone detection; clone-related bug detection; sematic clone analysis

Proposal of Automatic Offloading for Function Blocks of Applications

When Deep Learning Meets Smart Contracts

International Conference on Automated Software Engineering

A systematic literature review on source code similarity measurement and
  clone detection: techniques, applications, and challenges


Reimplemented code for "Toward Characteristic-Preserving Image-based Virtual Try-On Network"

Poly-GAN: Multi-Conditioned GAN for Fashion Synthesis

End-to-End Learning of Geometric Deformations of Feature Maps for Virtual Try-On.


PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)

Ti-MAE: Self-Supervised Masked Time Series Autoencoders

A Survey on Time-Series Pre-Trained Models

SimTS: Rethinking Contrastive Representation Learning for Time Series
  Forecasting

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure
  Graph Perspective

A Co-training Approach for Noisy Time Series Learning

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


Layer-wise Relevance Propagation (LRP) for LSTMs.

Explaining Recurrent Neural Network Predictions in Sentiment Analysis

Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement

Analyzing Neuroimaging Data Through Recurrent Deep Learning Models

Evaluating Recurrent Neural Network Explanations

Spotting Deep Neural Network Vulnerabilities in Mobile Traffic Forecasting with an Explainable AI Lens

Zenodo (CERN European Organization for Nuclear Research)


Deep Learning models to detect hate speech in tweets

Deep Learning for Hate Speech Detection in Tweets

WWW'17 COMPANION: PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB

All You Need is "Love": Evading Hate-speech Detection

Detecting and Monitoring Hate Speech in Twitter

You Are What You Tweet: Profiling Users by Past Tweets to Improve Hate Speech Detection


Distributionally robust neural networks for group shifts

Distributionally Robust Neural Networks for Group Shifts: On the
  Importance of Regularization for Worst-Case Generalization

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

Active Learning Helps Pretrained Models Learn the Intended Task

Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data

Provable Domain Generalization via Invariant-Feature Subspace Recovery

Learning to Split for Automatic Bias Detection

Discovering and Mitigating Visual Biases through Keyword Explanation

Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment

Towards Group Robustness in the presence of Partial Group Labels

Decorr: Environment Partitioning for Invariant Learning and OOD
  Generalization


A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

Evolutionary music: applying evolutionary computation to the art of creating music

Genetic programming and evolvable machines

SAC - EvoU-Net: an evolutionary deep fully convolutional neural network for medical image segmentation

PROCEEDINGS OF THE 35TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING (SAC'20)

Evolving deep neural networks using coevolutionary algorithms with multi-population strategy

Exploring the Evolution of GANs through Quality Diversity

Genetic and Evolutionary Computation Conference

Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation

Evolutionary NetArchitecture Search for Deep Neural Networks Pruning

Proceedings of the 2019 2nd International Conference on Algorithms, Computing and Artificial Intelligence

Optimization in Machine Learning and Applications

OPTIMIZATION IN MACHINE LEARNING AND APPLICATIONS

Artificial Neural Network Trained by Plant Genetic-Inspired Optimizer

Springer tracts in nature-inspired computing

A Survey on the Latest Development of Machine Learning in Genetic Algorithm and Particle Swarm Optimization

An adaptive neuroevolution-based hyperheuristic


Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"

Deep Reinforcement Learning

Learning What to Defer for Maximum Independent Sets

Reinforcement Learning on Graphs: A Survey


State-of-the-Art Language Modeling and Text Classification in Hindi Language

IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages

iNLTK: Natural Language Toolkit for Indic Languages

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

AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for
  Indic Languages

Indic-Transformers: An Analysis of Transformer Language Models for Indian Languages.


Building a Conversational Agent Overnight with Dialogue Self-Play

Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems

Scalable Multi-Domain Dialogue State Tracking

Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language
  Understanding

Transfer Learning for Context-Aware Spoken Language Understanding

Automatic Speech Recognition & Understanding

Elastic CRFs for Open-ontology Slot Filling


The genome polishing tool POLCA makes fast and accurate corrections in genome assemblies

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

HASLR: Fast Hybrid Assembly of Long Reads

Comparison of De Novo Assembly Strategies for Bacterial Genomes

International journal of molecular sciences

The SAMBA tool uses long reads to improve the contiguity of genome assemblies

Essential interpretations of bioinformatics in COVID-19 pandemic

Improved Assembly of Metagenome-Assembled Genomes and Viruses in Tibetan Saline Lake Sediment by HiFi Metagenomic Sequencing


A drop-in replacement for CIFAR-10.

A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets

CINIC-10 Is Not ImageNet or CIFAR-10

On the Strong Correlation Between Model Invariance and Generalization

S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification

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

Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training


FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge

SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems

Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Codesign

SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection

A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices


PEPPER-Margin-DeepVariant

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

Epigenetic Patterns in a Complete Human Genome

Highly contiguous assemblies of 101 drosophilid genomes

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

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

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

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

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


Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets

A 3D Generative Model for Structure-Based Drug Design

Exploring Chemical Space with Score-based Out-of-distribution Generation

Docking-based generative approaches in the search for new drug candidates

Learning Subpocket Prototypes for Generalizable Structure-based Drug
  Design


Real-world Noisy Image Denoising: A New Benchmark

Noisy Tensor Completion via Low-rank Tensor Ring

Window-aware guided image filtering via local entropy

CurvPnP: Plug-and-play Blind Image Restoration with Deep Curvature
  Denoiser


This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP

Modeling Relational Data with Graph Convolutional Networks

Learning to Generate Questions by Learning What not to Generate

WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)

Graph Structural-topic Neural Network

Graph Attention Topic Modeling Network

WEB CONFERENCE 2020: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2020)

Hierarchical Graph Semantic Pooling Network for Multi-modal Community Question Answer Matching

PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19)

Multi-modal Attentive Graph Pooling Model for Community Question Answer Matching

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


A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.

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

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

HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging

Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction

Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral
  Compressive Imaging

Binarized Spectral Compressive Imaging


[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

Semi-Supervised Medical Image Segmentation via Cross Teaching between
  CNN and Transformer

Evaluating transformer-based semantic segmentation networks for pathological image segmentation

When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class
  Medical Image Semantic Segmentation

Using less annotation workload to establish a pathological auxiliary diagnosis system for gastric cancer

Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation


Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"

Diffusion models for missing value imputation in tabular data

Non-autoregressive Conditional Diffusion Models for Time Series
  Prediction

Yet Another ICU Benchmark: A Flexible Multi-Center Framework for
  Clinical ML

Predict, Refine, Synthesize: Self-Guiding Diffusion Models for
  Probabilistic Time Series Forecasting


Meshed-Memory Transformer for Image Captioning. CVPR 2020

Text Augmentation Using BERT for Image Captioning

Efficient Modeling of Future Context for Image Captioning

Are metrics measuring what they should? An evaluation of Image Captioning task metrics

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

Automatic Radiology Report Generation by Learning with Increasingly Hard Negatives

Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding

Task-aware asynchronous multi-task model with class incremental contrastive learning for surgical scene understanding


Pytorch implementation of β-VAE

Understanding disentangling in β-VAE

Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness

Unpaired Image-to-Image Translation via Latent Energy Transport

Understanding Instance-based Interpretability of Variational Auto-Encoders

What do we learn? Debunking the Myth of Unsupervised Outlier Detection


:fire: [CVPR 2020] STEFANN: Scene Text Editor using Font Adaptive Neural Network (official code).

RewriteNet: Realistic Scene Text Image Generation via Editing Text in Real-world Image

RewriteNet: Reliable Scene Text Editing with Implicit Decomposition of
  Text Contents and Styles


Deep Active Learning

On Warm-Starting Neural Network Training

A Comparative Survey of Deep Active Learning

DeepAL: Deep Active Learning in Python

Pareto Optimization for Active Learning under Out-of-Distribution Data
  Scenarios


A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

Generative Adversarial Networks (GANs)

Towards the Automatic Anime Characters Creation with Generative Adversarial Networks

GAN Memory with No Forgetting

CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks


Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Focal Loss for Dense Object Detection

End-to-End Object Detection with Transformers

ResNeSt: Split-Attention Networks

Panoptic Feature Pyramid Networks

Masked-attention Mask Transformer for Universal Image Segmentation

What Makes for Good Views for Contrastive Learning

Scale-Aware Trident Networks for Object Detection

Per-Pixel Classification is Not All You Need for Semantic Segmentation

VinVL: Revisiting Visual Representations in Vision-Language Models


An open-sourced LLM judge for evaluating LLM-generated answers.

Self-attention Does Not Need O(n^2) Memory

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning
  Optimization

LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

JudgeLM: Fine-tuned Large Language Models are Scalable Judges


The repo contains SDK for Penglai Enclave (based on RISC-V TVM).


Tool to plot synteny and structural rearrangements between genomes

plotsr: visualizing structural similarities and rearrangements between multiple genomes

Einkorn genomics sheds light on history of the oldest domesticated wheat

Phased gap-free genome assembly of octoploid cultivated strawberry illustrates the genetic and epigenetic divergence among subgenomes


The next generation of the PRIMAP climate policy analysis suite


A simple module to collect video, text, and metadata from Tiktok.

ITA-ELECTION-2022: A Multi-Platform Dataset of Social Media Conversations Around the 2022 Italian General Election

Remixing war: An analysis of the reimagination of the Russian–Ukraine war on TikTok


Data for the 2014 ebola outbeak in West Africa

Modeling the Impact of Interventions on an Epidemic of Ebola in Sierra Leone and Liberia

Avoidable errors in the modelling of outbreaks of emerging pathogens, with special reference to Ebola

Early Epidemic Dynamics of the West African 2014 Ebola Outbreak: Estimates Derived with a Simple Two-Parameter Model

Mathematical modeling of the West Africa Ebola epidemic

Modeling Post-death Transmission of Ebola: Challenges for Inference and Opportunities for Control

A modified SEIR model for the spread of Ebola in Western Africa and metrics for resource allocation

Phylodynamic Analysis of Ebola Virus in the 2014 Sierra Leone Epidemic

Make Data Sharing Routine to Prepare for Public Health Emergencies

Modeling the transmission dynamics of Ebola virus disease in Liberia

Technology to advance infectious disease forecasting for outbreak management


An R-Software package for multi-variate spatio-temporal modelling

Spatial and temporal Antarctic Ice Sheet mass trends, glacio-isostatic adjustment, and surface processes from a joint inversion of satellite altimeter, gravity, and GPS data

Journal of geophysical research. Earth surface

A data-driven approach for assessing ice-sheet mass balance in space and time

Mass evolution of the Antarctic Peninsula over the last 2 decades from a joint Bayesian inversion

Mass evolution of the Antarctic Peninsula over the last two decades from a joint Bayesian inversion


Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

IEEE Communications surveys and tutorials/IEEE communications surveys and tutorials

Machine Learning at the Network Edge: A Survey

PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices

An Ultra-low Power TinyML System for Real-time Visual Processing at Edge


This is an official implementation of our CVPR 2020 paper "HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation" (https://arxiv.org/abs/1908.10357)

The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation

When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks

SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gap


Modified Gravity and Cosmology with Binary Black Holes' Population models : hierarchical bayesian inference package for constraining the Hubble constant, modified GW propagation and BBH population models with GWs.

Forecasting the Detection Capabilities of Third-generation Gravitational-wave Detectors Using GWFAST

Gravitational-wave cosmology with dark sirens: state of the art and perspectives for 3G detectors

Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022)

Cosmology and Astrophysics with Standard Sirens and Galaxy Catalogs in
  View of Future Gravitational Wave Observations


Word Ordering Without Syntax

Transition-Based Syntactic Linearization with Lookahead Features

North American Chapter of the Association for Computational Linguistics

An Empirical Comparison Between N-gram and Syntactic Language Models for Word Ordering

Empirical Methods in Natural Language Processing

Abstractive Multi-document Summarization by Partial Tree Extraction, Recombination and Linearization

International Joint Conference on Natural Language Processing

Transition-Based Deep Input Linearization


A simple Python module for reading and analyzing data from C2Ray and CubeP3M data files.

Einstein's Universe: Cosmological structure formation in numerical relativity

The Trouble with Hubble: Local versus Global Expansion Rates in Inhomogeneous Cosmological Simulations with Numerical Relativity

Inhomogeneous cosmology in an anisotropic Universe

Signatures of primordial gravitational waves in matter power spectrum


Carbon Dioxide Removal (CDR) Modeling Experiments

Emulating coupled atmosphere-ocean and carbon cycle models with a simpler model, MAGICC6 - Part 1: Model description and calibration

Pymagicc: A Python wrapper for the simple climate model MAGICC


S3norm ver2 + IDEAS epigenetic state / master peak list

Accurate and reproducible functional maps in 127 human cell types via 2D genome segmentation

An integrative view of the regulatory and transcriptional landscapes in mouse hematopoiesis

S3norm: simultaneous normalization of sequencing depth and signal-to-noise ratio in epigenomic data

Direct prediction of regulatory elements from partial data without imputation

S3V2-IDEAS: a package for normalizing, denoising and integrating epigenomic datasets across different cell types


Official Implementation of the Paper "MAGNet: Motif-Agnostic Generation of Molecules from Shapes"

Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules

Junction Tree Variational Autoencoder for Molecular Graph Generation

Learning to Extend Molecular Scaffolds with Structural Motifs

Molecule Generation by Principal Subgraph Mining and Assembling


The Sloan Digital Sky Survey Quasar Catalog: Sixteenth Data Release

The Astrophysical journal. Supplement series/Astrophysical journal. Supplement series

The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey:
  Baryon acoustic oscillations with Lyman-α forests

QuasarNET: Human-level spectral classification and redshifting with Deep Neural Networks

Detecting and Characterizing Mg ii Absorption in DESI Survey Validation Quasar Spectra


:package: R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects

Double/debiased machine learning for treatment and structural parameters

Effect Decomposition in the Presence of an Exposure-Induced Mediator-Outcome Confounder

Cross-Validated Targeted Minimum-Loss-Based Estimation

Targeted Maximum Likelihood Estimation of Natural Direct Effects

The international journal of biostatistics

Longitudinal Mediation Analysis with Time-varying Mediators and Exposures, with Application to Survival Outcomes

Nonparametric efficient causal mediation with intermediate confounders

Robust and flexible estimation of data-dependent stochastic mediation effects: a proposed method and example in a randomized trial setting

Nonparametric inference for interventional effects with multiple mediators

medoutcon: Nonparametric efficient causal mediation analysis with machine learning in R


making synthetic spectra from libraries

The Gaia DR2 parallax zero-point: hierarchical modelling of red clump stars

Monthly notices of the Royal Astronomical Society

A Panchromatic Study of Massive Stars in the Extremely Metal-Poor Local
  Group Dwarf Galaxy Leo A


TrackNTrace is an open source MATLAB framework for single molecule localization, tracking, and super-resolution applications written by Simon Christoph Stein and Jan Thiart from the University of Goettingen.

TrackNTrace: A simple and extendable open-source framework for developing single-molecule localization and tracking algorithms

Fluorescence lifetime DNA-PAINT for multiplexed super-resolution imaging of cells

Single-Molecule Fluorescence Lifetime Imaging Using Wide-Field and Confocal-Laser Scanning Microscopy: A Comparative Analysis

Advanced Data Analysis for Fluorescence-Lifetime Single-Molecule Localization Microscopy


Exact diagonalization for finite quantum systems

Hybrid quantum-classical algorithm for computing imaginary-time correlation functions

libcommute/pycommute: A quantum operator algebra domain-specific language and exact diagonalization toolkit


Detection of tumors on mammography images

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Focal Loss for Dense Object Detection

FCOS: Fully Convolutional One-Stage Object Detection


Script for parsing SAM/BAM files for coverage statistics

Genome Sequencing of SARS-CoV-2 Allows Monitoring of Variants of Concern through Wastewater

“Frozen evolution” of an RNA virus suggests accidental release as a potential cause of arbovirus re-emergence

Bacteriophages Roam the Wheat Phyllosphere

Metaviromics Reveals Unknown Viral Diversity in the Biting Midge Culicoides impunctatus

Plastomes of Garcinia mangostana L. and Comparative Analysis with Other Garcinia Species

Direct Nanopore Sequencing of Human Cytomegalovirus Genomes from High-Viral-Load Clinical Samples

Evolutionary stasis of an RNA virus indicates arbovirus re-emergence triggered by accidental release


Generic TCR-epitope recognition prediction using CNN approach on both known and novel epitopes

Can we predict T cell specificity with digital biology and machine learning?

Interpretable deep learning to uncover the molecular binding patterns determining TCR–epitope interactions

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


PECANNs: Physics and Equality Constrained Artificial Neural Networks

Physics and equality constrained artificial neural networks: Application to forward and inverse problems with multi-fidelity data fusion

Physics and Equality Constrained Artificial Neural Networks: Application to Partial Differential Equations

An adaptive augmented Lagrangian method for training physics and
  equality constrained artificial neural networks

A Generalized Schwarz-type Non-overlapping Domain Decomposition Method
  using Physics-constrained Neural Networks


ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions

ReCU: Reviving the Dead Weights in Binary Neural Networks

Recurrent Bilinear Optimization for Binary Neural Networks


Code for neural network parameterization project

Could Machine Learning Break the Convection Parameterization Deadlock?

Enforcing Analytic Constraints in Neural Networks Emulating Physical Systems.

Towards Physically-consistent, Data-driven Models of Convection

Climate-Invariant Machine Learning

raspstephan/CBRAIN-CAM


GLObal Coastal Ocean Flood Forecasting System: An ADCIRC-based global storm tide modeling system providing real-time forecasts of coastal flooding

OceanMesh2D 1.0: MATLAB-based software for two-dimensional unstructured mesh generation in coastal ocean modeling

Global storm tide modeling with ADCIRC v55: unstructured mesh design and performance


Tool for demultiplexing Nanopore barcode sequence data

Single-cell RNA-seq analysis of mouse preimplantation embryos by third-generation sequencing

De novo assembly of human genome at single-cell levels

Sequence and Structure Characteristics of 22 Deletion Breakpoints in Intron 44 of the DMD Gene Based on Long-Read Sequencing

Long-read-based single sperm genome sequencing for chromosome-wide haplotype phasing of both SNPs and SVs

Zenodo (CERN European Organization for Nuclear Research)


Public repository for symmetry-adapted Gaussian Process Regression (SA-GPR)

Thermodynamics and dielectric response of BaTiO3 by data-driven modeling

Polarizability Models for Simulations of Finite Temperature Raman
  Spectra from Machine Learning Molecular Dynamics

Impact of quantum-chemical metrics on the machine learning prediction of electron density.

Raman spectra of amino acids and peptides from machine learning
  polarizabilities


Collection of scripts for working with Wiggle files and analyzing sequencing data

Transcription shapes genome-wide histone acetylation patterns

Genomic dissection of conserved transcriptional regulation in intestinal epithelial cells

Dissection of acute stimulus-inducible nucleosome remodeling in mammalian cells

NuA3 HAT antagonizes the Rpd3S and Rpd3L HDACs to optimize mRNA and lncRNA expression dynamics

The majority of histone acetylation is a consequence of transcription


A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)

Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection

Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis

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

IEEE transactions on information forensics and security

DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications

Conference on Computer and Communications Security

Clustered Federated Learning Architecture for Network Anomaly Detection
  in Large Scale Heterogeneous IoT Networks

You do (not) belong here

Real-Time Anomaly Detection with Subspace Periodic Clustering Approach

Liuer Mihou: A Practical Framework for Generating and Evaluating
  Grey-box Adversarial Attacks against NIDS


Semi-supervised Medical Image Segmentation through Dual-task Consistency

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

Semi-Supervised Semantic Segmentation with Cross-Consistency Training

Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images

Medical Image Computing and Computer-Assisted Intervention

Semi-supervised Left Atrium Segmentation with Mutual Consistency Training

Local and Global Structure-Aware Entropy Regularized Mean Teacher Model for 3D Left Atrium Segmentation


RL Dresden Algorithm Suite

Experimental study of the effect of bound water on the shear strength and structural units of Malan loess

Robust Path Following on Rivers Using Bootstrapped Reinforcement
  Learning

Spatial-temporal recurrent reinforcement learning for autonomous ships

2-Level Reinforcement Learning for Ships on Inland Waterways


Spectral Generation Package

PROSPECT: generating spectral energy distributions with complex star formation and metallicity histories

Monthly Notices of the Royal Astronomical Society

From the far-ultraviolet to the far-infrared – galaxy emission at 0 ≤ z ≤ 10 in the shark semi-analytic model

Galaxy And Mass Assembly (GAMA): a forensic SED reconstruction of the cosmic star formation history and metallicity evolution by galaxy type

JWST PEARLS. Prime Extragalactic Areas for Reionization and Lensing Science: Project Overview and First Results

Physical properties and evolution of (sub-)millimetre-selected galaxies in the galaxy formation simulation SHARK

H I asymmetries in LVHIS, VIVA, and HALOGAS galaxies

GAMA/DEVILS: constraining the cosmic star formation history from improved measurements of the 0.3-2.2 mu m extragalactic background light

From rest-frame luminosity functions to observer-frame colour distributions: tackling the next challenge in cosmological simulations

Unveiling the atomic hydrogen-halo mass relation via spectral stacking

PKS 2250-351: A giant radio galaxy in Abell 3936

Publications of the Astronomical Society of Australia/Publications Astronomical Society of Australia


Python version of the SED fitter from Robitaille et al., 2007, ApJS 169 328

PROTOSTARS AT LOW EXTINCTION IN ORION A

Chandra Observations of the field containing HESS J1616-508

Massive Young Stellar Objects and Outflow in the Infrared Dark Cloud G79.3+0.3


Calculates the Word Error Rate between two text files

Dialect Text Normalization to Normative Standard Finnish

Murreviikko - A Dialectologically Annotated and Normalized Dataset of Finnish Tweets

Workshop on NLP for Similar Languages, Varieties and Dialects

Help from the Neighbors: Estonian Dialect Normalization Using a Finnish Dialect Generator

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

Automated Prediction of Medieval Arabic Diacritics

Dialect Representation Learning with Neural Dialect-to-Standard Normalization

Dialect-to-Standard Normalization: A Large-Scale Multilingual Evaluation

Findings of the Association for Computational Linguistics: EMNLP 2023


Systematic ProtEin AnnotatoR

Origins and geographic diversification of African rice (Oryza glaberrima)

Twelve years of SAMtools and BCFtools

Deep Mutational Scanning of SARS-CoV-2 Receptor Binding Domain Reveals Constraints on Folding and ACE2 Binding

bioRxiv : the preprint server for biology

Comprehensive mapping of mutations in the SARS-CoV-2 receptor-binding domain that affect recognition by polyclonal human plasma antibodies

Using Drosophila melanogaster as a Model for Genotoxic Chemical Mutational Studies with a New Program, SnpSift

Sustainable data analysis with Snakemake

Structures of Human Antibodies Bound to SARS-CoV-2 Spike Reveal Common Epitopes and Recurrent Features of Antibodies

Prospective mapping of viral mutations that escape antibodies used to treat COVID-19

Bioconda: sustainable and comprehensive software distribution for the life sciences

Complete map of SARS-CoV-2 RBD mutations that escape the monoclonal antibody LY-CoV555 and its cocktail with LY-CoV016


Python tools for mean-field Hubbard models

Frontispiz: On‐Surface Synthesis and Collective Spin Excitations of a Triangulene‐Based Nanostar

Carbon-based nanostructures as a versatile platform for tunable π-magnetism

Journal of physics. Condensed matter : an Institute of Physics journal

Magnetic Interactions Between Radical Pairs in Chiral Graphene Nanoribbons


Comprehensive Feature-Based Landscape Analysis of Continuous and
  Constrained Optimization Problems Using the R-Package flacco

Benchmarking Feature-Based Algorithm Selection Systems for Black-Box Numerical Optimization

HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means
  of Exploratory Landscape Analysis

Towards Exploratory Landscape Analysis for Large-scale Optimization: A Dimensionality Reduction Framework

Challenges of ELA-guided Function Evolution using Genetic Programming


LoRa Network Simulator to Monitor Energy Consumption

Cross-Layer Framework and Optimization for Efficient Use of the Energy Budget of IoT Nodes

Wireless Communications and Networking Conference

A Comprehensive Study on LPWANs With a Focus on the Potential of LoRa/LoRaWAN Systems

IEEE Communications surveys and tutorials/IEEE communications surveys and tutorials

An Advanced Energy-Efficient Environmental Monitoring in Precision Agriculture Using LoRa-Based Wireless Sensor Networks


Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

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

How to Index Item IDs for Recommendation Foundation Models

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region

Recommender Systems with Generative Retrieval

OpenP5: Benchmarking Foundation Models for Recommendation


A unified framework for Low-resource Audio Processing and Evaluation (SSL Pre-training and Downstream Fine-tuning)

MAST: Multiscale Audio Spectrogram Transformers

SLICER: Learning Universal Audio Representations Using Low-Resource Self-Supervised Pre-Training


Scripts for calculating features and regression of prokaryote OGT

Predicting the optimal growth temperatures of prokaryotes using only genome derived features

Microbial communities of Auka hydrothermal sediments shed light on vent biogeography and the evolutionary history of thermophily

Evolutionary diversification of methanotrophic ANME-1 archaea and their expansive virome

Microbial community of recently discovered Auka vent field sheds light on vent biogeography and evolutionary history of thermophily


Amons-based quantum machine learning for quantum chemistry

Systematic improvement of molecular representations for machine learning models

Quantum machine learning using atom-in-molecule-based fragments selected on the fly

Ab initio machine learning in chemical compound space

Boosting quantum machine learning models with multi-level combination
  technique: Pople diagrams revisited

Towards DMC accuracy across chemical space with scalable Δ-QML

Dictionary of 140k GDB and ZINC derived AMONs


Training T5 to perform numerical reasoning.

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

Injecting Numerical Reasoning Skills into Language Models

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

NT5?! Training T5 to Perform Numerical Reasoning


PromptCBLUE: a large-scale instruction-tuning dataset for multi-task and few-shot learning in the medical domain in Chinese

PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain

Overview of the PromptCBLUE Shared Task in CHIP2023

Text2MDT: Extracting Medical Decision Trees from Medical Texts

Datasets for Large Language Models: A Comprehensive Survey


This repository contains data pre-processing and visualization scripts used in GENEA Challenge 2022 and 2023. Check the repository's README.md file for instructions on how to use scripts yourself.

The GENEA Challenge 2022: A large evaluation of data-driven co-speech gesture generation

Proceedings of the 2022 International Conference on Multimodal Interaction

The GENEA Challenge 2023: A large scale evaluation of gesture generation
  models in monadic and dyadic settings

Evaluating gesture-generation in a large-scale open challenge: The GENEA
  Challenge 2022


Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model using Koopman Eigenfunction Extended Dynamic Mode Decomposition (KEEDMD).

Extended Dynamic Mode Decomposition with Learned Koopman Eigenfunctions for Prediction and Control

Episodic Koopman Learning of Nonlinear Robot Dynamics with Application to Fast Multirotor Landing

Learning the Koopman Eigendecomposition: A Diffeomorphic Approach


MgeEditing is an open source image and video editing toolbox based on MegEngine.

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Image Super-Resolution Using Very Deep Residual Channel Attention Networks

Tracking Objects as Points

BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond

Learning Joint Spatial-Temporal Transformations for Video Inpainting

Video Super-Resolution with Recurrent Structure-Detail Network


Python interface to Global Diffuse Sky Models (GDSM) for the radio sky between 10 MHz - 5 THz

Improved Constraints on the 21 cm EoR Power Spectrum and the X-Ray Heating of the IGM with HERA Phase I Observations

Cleaning foregrounds from single-dish 21 cm intensity maps with Kernel principal component analysis

The Green Bank North Celestial Cap Survey. VII. 12 New Pulsar Timing Solutions

System design and calibration of SITARA—a global 21 cm short spacing interferometer prototype

Global Sky Models can Improve Flux Estimates in Pulsar and FRB Studies

Effects of model incompleteness on the drift-scan calibration of radio telescopes

Probing the global 21-cm background by velocity-induced dipole and
  quadrupole anisotropies

The Green Bank North Celestial Cap Survey. VIII. 21 New Pulsar Timing Solutions


several types of attention modules written in PyTorch

Attention Is All You Need

Linformer: Self-Attention with Linear Complexity

Fast Transformer Decoding: One Write-Head is All You Need

GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints


ASP planning tools for PDDL

plasp 3: Towards Effective ASP Planning

Theory and practice of logic programming

Answer Set Planning: A Survey

On Model Reconciliation: How to Reconcile When Robot Does not Know Human's Model?

LPOP: Challenges and Advances in Logic and Practice of Programming

Discovering and Proving Invariants in Answer Set Programming and
  Planning


Python module for simulating gossip learning.

MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling

Decentralized Federated Learning: A Segmented Gossip Approach

Decentralized learning works: An empirical comparison of gossip learning and federated learning

Journal of parallel and distributed computing

Decentralized Federated Learning: Balancing Communication and Computing Costs

Decentralized Recommendation Based on Matrix Factorization: A Comparison of Gossip and Federated Learning

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2019, PT I

Gossip Learning: Off the Beaten Path

A Decentralized Federated Learning Framework via Committee Mechanism With Convergence Guarantee

Token Account Algorithms: The Best of the Proactive and Reactive Worlds

International Conference on Distributed Computing Systems


A fast, simple, multilingual tokenizer

BiLSTM-CRF for Persian Named-Entity Recognition ArmanPersoNERCorpus: the First Entity-Annotated Persian Dataset

PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018)

Are the Multilingual Models Better? Improving Czech Sentiment with Transformers

¡Qué maravilla! Multimodal Sarcasm Detection in Spanish: a Dataset and a Baseline

WordTokenizers.jl: Basic tools for tokenizing natural language in Julia

Using Related Languages to Enhance Statistical Language Models

North American Chapter of the Association for Computational Linguistics


Awesome things about domain generalization, including papers, code, etc.

Performance Measures and a Data Set for Multi-target, Multi-camera Tracking

Playing for Data: Ground Truth from Computer Games

Feature Stylization and Domain-aware Contrastive Learning for Domain Generalization

Domain Generalization via Feature Variation Decorrelation

Learning Transferrable and Interpretable Representations for Domain Generalization


Evolving Directed Acyclic Graph

EvoDAG: A semantic Genetic Programming Python library

IEEE International Autumn Meeting on Power, Electronics and Computing

Semantic Genetic Programming for Sentiment Analysis

EvoMSA: A Multilingual Evolutionary Approach for Sentiment Analysis

IEEE computational intelligence magazine

INGEOTEC at SemEval 2017 Task 4: A B4MSA Ensemble based on Genetic Programming for Twitter Sentiment Analysis

Meeting of the Association for Computational Linguistics

Selection Heuristics on Semantic Genetic Programming for Classification Problems

INGEOTEC at SemEval-2018 Task 1: EvoMSA and μTC for Sentiment Analysis

NEO 2015 - Numerical and Evolutionary Optimization

Numerical and Evolutionary Optimization Workshop

NEO 2015


Checker for "morally correct" induction proofs about haskell programs

Engaging, Large-Scale Functional Programming Education in Physical and Virtual Space

Check Your (Students') Proofs-With Holes


An Evaluation of Change Point Detection Algorithms

Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-Divergences

Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection

On Matched Filtering for Statistical Change Point Detection

MECATS: Mixture-of-Experts for Quantile Forecasts of Aggregated Time Series

Monitoring Deforestation Using Multivariate Bayesian Online Changepoint
  Detection with Outliers


Weakly Supervised Medical Images Segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations

Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray Images


Qopen: Separation of intrinsic and scattering Q by envelope inversion

Seismic scattering and absorption parameters in the W-Bohemia/Vogtland region from elastic and acoustic radiative transfer theory

Measurement of intrinsic and scattering attenuation of shear waves in two sedimentary basins and comparison to crystalline sites in Germany

Crustal intrinsic and scattering attenuation of high-frequency shear waves in the contiguous United States

Journal of geophysical research. Solid earth

Moment magnitude estimates for central Anatolian earthquakes using coda waves

Fast and robust earthquake source spectra and moment magnitudes from envelope inversion

The bulletin of the Seismological Society of America/Bulletin of the Seismological Society of America

Induced Earthquake Source Parameters, Attenuation, and Site Effects From Waveform Envelopes in the Fennoscandian Shield


Open-source, integrated optical modelling of complex stacks


Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters

Normalized Loss Functions for Deep Learning with Noisy Labels

IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude's Variance Matters

Derivative Manipulation for General Example Weighting


Tools for Plant Ecophysiology & Modeling


Code for the paper "Large-Scale Study of Curiosity-Driven Learning"

See, Hear, Explore: Curiosity via Audio-Visual Association

Touch-based Curiosity for Sparse-Reward Tasks


The library that uses dependency parsing to preprocess text to train DisSent model

DisSent: Learning Sentence Representations from Explicit Discourse Relations

Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations

Leveraging Natural Supervision for Language Representation Learning and
  Generation


A sample MySQL database with an integrated test suite, used to test your applications and database servers

Genetic Algorithm for Relational Database Optimization in Reducing Query Execution Time

Scientific Journal of Informatics/Scientific journal of informatics

COMPARISON BETWEEN YII FRAMEWORKS AND LARAVEL IN 3 DIFFERENT VERSION FOR VIEWING LARGE DATA OF SHIPYARD INDUSTRY IN INDONESIA

International Journal of Innovation in Enterprise System

Managing Variability in Relational Databases by VDBMS.

Blockchain-Based Access and Timeliness Control for Administrative Punishment Market Supervision


NanoMod: a computational tool to detect DNA modifications using Nanopore long-read sequencing data

Recent advances in the detection of base modifications using the Nanopore sequencer

Detection of base analogs incorporated during DNA replication by nanopore sequencing


iCNN: image reconstruction from CNN features

A Neural Algorithm of Artistic Style

Understanding Deep Image Representations by Inverting Them

Generating Images with Perceptual Similarity Metrics based on Deep Networks

Synthesizing the preferred inputs for neurons in neural networks via deep generator networks


Resources for the MRQA 2019 Shared Task

SpanBERT: Improving Pre-training by Representing and Predicting Spans

CTRL: A Conditional Transformer Language Model for Controllable Generation

Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data

Look at the First Sentence: Position Bias in Question Answering

Generalizing Question Answering System with Pre-trained Language Model Fine-tuning

Empirical Methods in Natural Language Processing

Contextualized Representations Using Textual Encyclopedic Knowledge

Dynamic Sampling Strategies for Multi-Task Reading Comprehension

Ensemble learning-based approach for improving generalization capability of machine reading comprehension systems

Continual Domain Adaptation for Machine Reading Comprehension

International Conference on Information and Knowledge Management

Active Learning Over Multiple Domains in Natural Language Tasks


Official Pytorch implementation of "CLIPstyler:Image Style Transfer with a Single Text Condition" (CVPR 2022)

CLIPstyler: Image Style Transfer with a Single Text Condition

CLIPAG: Towards Generator-Free Text-to-Image Generation

Design Booster: A Text-Guided Diffusion Model for Image Translation with
  Spatial Layout Preservation


ROSE: RANK ORDERING OF SUPER-ENHANCERS

LncRNA Platr22 promotes super-enhancer activity and stem cell pluripotency

Multiscale 3D genome reorganization during skeletal muscle stem cell lineage progression and aging


A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.

Geometricus Represents Protein Structures as Shape-mers Derived from Moment Invariants

Uncovering new families and folds in the natural protein universe

Fast and adaptive protein structure representations for machine learning


GOLEM is a numerical simulator for modelling coupled Thermo-Hydro-Mechanical processes in faulted geothermal reservoirs.

Flexible parallel implicit modelling of coupled Thermal-Hydraulic-Mechanical processes in fractured rocks


Interpretable survival prediction for colorectal cancer using deep learning

Deep learning models for histologic grading of breast cancer and association with disease prognosis

Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning


Proteome-Wide Association Study

PWAS: proteome-wide association study—linking genes and phenotypes by functional variation in proteins


Demultiplexes a fastq.

3D landscape of Hepatitis B virus interactions with human chromatins

Genetic structure of the European hedgehog (Erinaceus europaeus) in Denmark

Applying the GBS technique for the genomic characterization of a Danish population of European hedgehogs (Erinaceus europaeus)


SyReNN: Symbolic Representations for Neural Networks

Computing Linear Restrictions of Neural Networks

SyReNN: A Tool for Analyzing Deep Neural Networks

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks.


Hierarchical probabilistic 3D U-Net, with attention mechanisms (— -, ) and a nested decoder structure with deep supervision (—++). Built in TensorFlow 2.5. Configured for voxel-level clinically significant prostate cancer detection in multi-channel 3D bpMRI scans.

End-to-end prostate cancer detection in bpMRI via 3D CNNs: Effects of attention mechanisms, clinical priori and decoupled false positive reduction

A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities

Encoding Clinical Priori in 3D Convolutional Neural Networks for Prostate Cancer Detection in bpMRI.

Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI - Should Different Clinical Objectives Mandate Different Loss Functions?


Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models".

LLaMA: Open and Efficient Foundation Language Models

OPT: Open Pre-trained Transformer Language Models

GPTQ: Accurate Post-Training Quantization for Generative Pre-trained
  Transformers

OWQ: Lessons learned from activation outliers for weight quantization in
  large language models


tools to find circRNAs in RNA-seq data

Circular RNAs: Methodological challenges and perspectives in cardiovascular diseases

Journal of cellular and molecular medicine

Present Scenario of Circular RNAs (circRNAs) in Plants

The RNA-binding protein SFPQ preserves long-intron splicing and regulates circRNA biogenesis in mammals

Identification of circularRNAs and their targets in Gossypium under Verticillium wilt stress based on RNA-seq

Circular RNAs in the cardiovascular system

Disease-Associated Circular RNAs: From Biology to Computational Identification

Supplementation with Milk-Derived Extracellular Vesicles Shapes the Gut Microbiota and Regulates the Transcriptomic Landscape in Experimental Colitis

Identification and characterization of melon circular RNAs involved in powdery mildew responses through comparative transcriptome analysis

Systematic Identification and Analysis of Circular RNAs of Japanese Flounder (Paralichthys olivaceus) in Response to Vibrio anguillarum Infection

Computational approaches for circRNAs prediction and in silico characterization


FOCUS: Fine-mapping Of CaUsal gene Sets

Transcriptome-wide association studies: a view from Mendelian randomization

Genetic association and causal inference converge on hyperglycaemia as a modifiable factor to improve lung function

Innovative strategies for annotating the “relationSNP” between variants and molecular phenotypes

Biomarker and genomic analyses reveal molecular signatures of non-cardioembolic ischemic stroke

Transcriptome wide association studies: general framework and methods

Genome-wide meta-analysis of pneumonia suggests a role for mucin biology and provides novel drug repurposing opportunities

Genetically informed precision drug repurposing for lung function and implications for respiratory infection

Expanding causal genes for Parkinson’s disease via multi-omics analysis

A large-scale transcriptome-wide association study (TWAS) of ten blood cell phenotypes reveals complexities of TWAS fine-mapping

Adjusting for genetic confounders in transcriptome-wide association studies improves discovery of risk genes of complex traits


Wilcox' Robust Statistics

A Guide to Robust Statistical Methods in Neuroscience

The Relation of Personality and Intelligence—What Can the Brunswik Symmetry Principle Tell Us?

The welchADF Package for Robust Hypothesis Testing in Unbalanced Multivariate Mixed Models with Heteroscedastic and Non-normal Data

Applying Radiomics to Predict Pathology of Postchemotherapy Retroperitoneal Nodal Masses in Germ Cell Tumors

Assessing the Psychometric Properties of the Internet Addiction Test in Peruvian University Students

International journal of environmental research and public health

App icon similarity and its impact on visual search efficiency on mobile touch devices

Cognitive research: principles and implications

Effect of Isomixing on Grape Must Fermentations of ATF1–Overexpressing Wine Yeast Strains

Pilot Study on the Effects of the Teaching Interpersonal Skills Program for Teens Program (PEHIA)

Swedish Youths as Listeners of Global Englishes Speakers With Diverse Accents: Listener Intelligibility, Listener Comprehensibility, Accentedness Perception, and Accentedness Acceptance

Time Spent on Daily Activities and Its Association with Life Satisfaction among Czech Adolescents from 1992 to 2019


TGS scaffolding

LRScaf: improving draft genomes using long noisy reads

A Candidate Gene Cluster for the Bioactive Natural Product Gyrophoric Acid in Lichen-Forming Fungi

Genome mining as a biotechnological tool for the discovery of novel biosynthetic genes in lichens

Three new genome assemblies of blue mussel lineages: North and South European Mytilus edulis and Mediterranean Mytilus galloprovincialis


State of the art Hanabi bots + simulation framework in rust

Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning

Improving Policies via Search in Cooperative Partially Observable Games

Diverse Agents for Ad-Hoc Cooperation in Hanabi

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

Generating and Adapting to Diverse Ad-Hoc Cooperation Agents in Hanabi

Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners

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


Translation Error Rate (TER)

Findings of the WMT 2023 Shared Task on Quality Estimation

Proceedings of the Eighth Conference on Machine Translation

Findings of the WMT 2018 Shared Task on Quality Estimation

Proceedings of the Third Conference on Machine Translation: Shared Task Papers

Machine Translation Quality and Post-Editor Productivity

Conference of the Association for Machine Translation in the Americas

PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation

Mismatching-Aware Unsupervised Translation Quality Estimation For
  Low-Resource Languages

PosEdiOn: Post-Editing Assessment in PythOn

European Association for Machine Translation Conferences/Workshops

RESHAPE: Reverse-Edited Synthetic Hypotheses for Automatic Post-Editing


Stochastic Adversarial Video Prediction

Stochastic Adversarial Video Prediction

SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning

Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives


A tool for the comparison and identification of candidate genes based on Venn diagrams

VennPainter: A Tool for the Comparison and Identification of Candidate Genes Based on Venn Diagrams

Resveratrol accumulation and its involvement in stilbene synthetic pathway of Chinese wild grapes during berry development using quantitative proteome analysis

SeagrassDB: An open-source transcriptomics landscape for phylogenetically profiled seagrasses and aquatic plants

Deregulation of cell adhesion molecules is associated with progression and poor outcomes in endometrial cancer: Analysis of The Cancer Genome Atlas data


The source code for paper "Deep Image Spatial Transformation for Person Image Generation"

View Synthesis by Appearance Flow

Deep Spatial Transformation for Pose-Guided Person Image Generation and Animation