MATLAB-based solver package of Maxwell's equations by the FDFD method

Inverse design of large-area metasurfaces

Nanophotonic media for artificial neural inference

Linearized 3-D Electromagnetic Contrast Source Inversion and Its Applications to Half-Space Configurations

IEEE transactions on geoscience and remote sensing

Cross-Correlated Contrast Source Inversion

IEEE transactions on antennas and propagation

Optical analogues to the equatorial Kerr–Newman black hole

Stochastic Optimization of Nonlinear Nanophotonic Media for Artificial Neural Inference


Homomorphic Latent Space Interpolation for Unpaired Image-to-image Translation

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Homomorphic Latent Space Interpolation for Unpaired Image-To-Image Translation

Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation

Smooth image-to-image translations with latent space interpolations


[IEEE TIP] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

EnlightenGAN: Deep Light Enhancement Without Paired Supervision

GIMP-ML: Python Plugins for using Computer Vision Models in GIMP


Tensorflow2 implementation of CircleLoss. Support class-level, sparse class-level, pair-wise labels

Additive Margin Softmax for Face Verification

Circle Loss: A Unified Perspective of Pair Similarity Optimization

Proxy Anchor Loss for Deep Metric Learning


Hierarchical Recurrent Encoder Decoder for Query Suggestion

A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion

Neural information retrieval: at the end of the early years

What Can Task Teach Us About Query Reformulations?


An ultra-fast tool for identification of SARS-CoV-2 and other microbes from sequencing data. This tool can be used to detect viral infectious diseases, like COVID-19.

A computational toolset for rapid identification of SARS-CoV-2, other viruses and microorganisms from sequencing data

Non-SARS-CoV-2 genome sequences identified in clinical samples from COVID-19 infected patients: Evidence for co-infections

RNA editing increases the nucleotide diversity of SARS-CoV-2 in human host cells

Non-coronavirus Genome Sequences Identified from Metagenomic Analysis of Clinical Samples from COVID-19 Infected Patients: An Evidence for Co-infection


An R package for inferring the subclonal architecture of tumors

Mutational landscape and significance across 12 major cancer types

Role of TP53 mutations in the origin and evolution of therapy-related acute myeloid leukaemia

Cancer Evolution: Mathematical Models and Computational Inference

Single-cell analysis based dissection of clonality in myelofibrosis

The clonal evolution of metastatic colorectal cancer

Ultraviolet radiation shapes dendritic cell leukaemia transformation in the skin

Ploidy-Seq: inferring mutational chronology by sequencing polyploid tumor subpopulations

Proteogenomics decodes the evolution of human ipsilateral breast cancer


Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.

Focused Quantization for Sparse CNNs

Mayo: A Framework for Auto-generating Hardware Friendly Deep Neural Networks

Proceedings of the 2nd International Workshop on Embedded and Mobile Deep Learning


Predict multiple protein conformations using sequence clustering and AlphaFold2.

Prediction of multiple conformational states by combining sequence clustering with AlphaFold2

ColabFold predicts alternative protein structures from single sequences, coevolution unnecessary for AF-cluster

bioRxiv : the preprint server for biology

AlphaFold2 has more to learn about protein energy landscapes


DVIS: Decoupled Video Instance Segmentation Framework

1st Place Solution for PVUW Challenge 2023: Video Panoptic Segmentation

DVIS++: Improved Decoupled Framework for Universal Video Segmentation


Mycoplasma genitalium whole-cell model

Designing minimal genomes using whole-cell models

DREAMTools: a Python package for scoring collaborative challenges

In vivo, in vitro and in silico: an open space for the development of microbe‐based applications of synthetic biology


Training code for "Associative Embedding: End-to-End Learning for Joint Detection and Grouping"

Single-Stage Multi-Person Pose Machines

Whole-Body Human Pose Estimation in the Wild

Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation


image scene graph generation benchmark

Scene Graph Generation by Iterative Message Passing

Neural Motifs: Scene Graph Parsing with Global Context

Graph R-CNN for Scene Graph Generation

Graphical Contrastive Losses for Scene Graph Parsing

Image Scene Graph Generation (SGG) Benchmark

Universal Vision-Language Dense Retrieval: Learning A Unified
  Representation Space for Multi-Modal Retrieval

ALADIN: Distilling Fine-grained Alignment Scores for Efficient Image-Text Matching and Retrieval

Transforming Visual Scene Graphs to Image Captions


Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization

SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization

Proceedings of the 2nd Workshop on New Frontiers in Summarization

Deep Reinforcement Learning For Sequence to Sequence Models

A Divide-and-Conquer Approach to the Summarization of Long Documents

Question Answering as an Automatic Evaluation Metric for News Article Summarization

Inducing Document Structure for Aspect-based Summarization

Meeting of the Association for Computational Linguistics

Multi-Source Pointer Network for Product Title Summarization

How to Compare Summarizers without Target Length? Pitfalls, Solutions and Re-Examination of the Neural Summarization Literature

Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation

Generation of Company descriptions using concept-to-text and text-to-text deep models: dataset collection and systems evaluation

International Conference on Natural Language Generation


Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets

Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models.

Deep Learning to Jointly Schema Match, Impute, and Transform Databases


An efficient solver for lifelong Multi-Agent Path Finding

Lifelong Multi-Agent Path Finding in Large-Scale Warehouses

Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding

Learn to Follow: Decentralized Lifelong Multi-agent Pathfinding via
  Planning and Learning


SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning

Model-based Safe Deep Reinforcement Learning via a Constrained Proximal
  Policy Optimization Algorithm

Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow


Unsupervised  Extractive Summarization based on Position-Augmented Centrality

Sentence Centrality Revisited for Unsupervised Summarization

TLDR: Extreme Summarization of Scientific Documents

Discourse-Aware Unsupervised Summarization of Long Scientific Documents

Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization

HipoRank: Incorporating Hierarchical and Positional Information into Graph-based Unsupervised Long Document Extractive Summarization

GOAL: Towards Benchmarking Few-Shot Sports Game Summarization


Deformable DETR: Deformable Transformers for End-to-End Object Detection.

DiffusionDet: Diffusion Model for Object Detection

Detection Transformer with Stable Matching

Boost Vision Transformer with GPU-Friendly Sparsity and Quantization


Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning"

Exploring the Potential of Large Language Models (LLMs) in Learning on
  Graphs

Harnessing Large Language Models as Post-hoc Correctors


Design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.

Gym-ANM: Reinforcement learning environments for active network management tasks in electricity distribution systems


Neural Attentive Session-based Recommendation

Global Context Enhanced Graph Neural Networks for Session-based Recommendation

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

Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations

Deep Learning-Based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations

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

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

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

An Academic Text Recommendation Method Based on Graph Neural Network

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

Findings of the Association for Computational Linguistics: EMNLP 2022


pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

Automatic Fact-guided Sentence Modification

Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View

CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems

Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions

Nutri-bullets Hybrid: Consensual Multi-document Summarization

Abstractive summarization of hospitalisation histories with transformer networks

Abstractive Summarization Guided by Latent Hierarchical Document Structure

A Corpus of Very Short Scientific Summaries

Conference on Computational Natural Language Learning


Make river relative elevation models (REM) and REM visualizations from an input digital elevation model (DEM).


[ICML 2020] PyTorch Code for "Efficient Continuous Pareto Exploration in Multi-Task Learning"

Controllable Pareto Multi-Task Learning

Scalable Uni-directional Pareto Optimality for Multi-Task Learning with Constraints


Official Jax Implementation of MaskGIT

MaskGIT: Masked Generative Image Transformer

Exposing flaws of generative model evaluation metrics and their unfair
  treatment of diffusion models

Learning Disentangled Prompts for Compositional Image Synthesis


Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

Regionwise Generative Adversarial Image Inpainting for Large Missing Areas

Pixel-wise Dense Detector for Image Inpainting

Iterative facial image inpainting based on an encoder-generator architecture

IA-FaceS: A Bidirectional Method for Semantic Face Editing

Non-Local and Multi-Scale Mechanisms for Image Inpainting

AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection

Missing Pixel Reconstruction on Landsat 8 Analysis Ready Data Land Surface Temperature Image Patches Using Source-Augmented Partial Convolution

Efficient data-driven gap filling of satellite image time series using
  deep neural networks with partial convolutions


U-Net: Convolutional Networks for Biomedical Image Segmentation

A two-stage method for text line detection in historical documents

International journal on document analysis and recognition

READ-BAD: A New Dataset and Evaluation Scheme for Baseline Detection in Archival Documents

You Actually Look Twice At it (YALTAi): using an object detection approach instead of region segmentation within the Kraken engine

Journal of data mining and digital humanities


Experiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback "

Adversarial Personalized Ranking for Recommendation

International ACM SIGIR Conference on Research and Development in Information Retrieval

Outer Product-based Neural Collaborative Filtering

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

ACM transactions on office information systems

Collaborative Distillation for Top-N Recommendation

Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering

Bidirectional Distillation for Top-K Recommender System

Dual Adversarial Variational Embedding for Robust Recommendation

GAN-based Recommendation with Positive-Unlabeled Sampling

Dual-embedding based Neural Collaborative Filtering for Recommender Systems


Effective Approaches to Attention-based Neural Machine Translation

Asynchronous Methods for Deep Reinforcement Learning

Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback


A collection of datasets of ML problem solving

Apples to Apples: A Systematic Evaluation of Topic Models

Recent Advances in Natural Language Processing

TOMODAPI: A Topic Modeling API to Train, Use and Compare Topic Models

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

Prediction of Prostate Cancer using Ensemble of Machine Learning Techniques

International journal of advanced computer science and applications/International journal of advanced computer science & applications

One-Step Time Series Forecasting Using Variational Quantum Circuits


MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labels

Marvolo: Programmatic Data Augmentation for Practical ML-Driven Malware
  Detection


A multimodal approach on emotion recognition using audio and text.

Multimodal Speech Emotion Recognition Using Audio and Text

Attention Based Fully Convolutional Network for Speech Emotion Recognition

Asia-Pacific Signal and Information Processing Association Annual Summit and Conference

Emotion Recognition from Speech


code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning

Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control

Accelerating deep reinforcement learning strategies of flow control through a multi-environment approach

Deep reinforcement learning in fluid mechanics: A promising method for both active flow control and shape optimization

水动力学研究与进展.B辑

An Embedded Feature Selection Framework for Control

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


Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Graph Embedded Pose Clustering for Anomaly Detection

HiEve: A Large-Scale Benchmark for Human-Centric Video Analysis in Complex Events

Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition

Mimetics: Towards Understanding Human Actions Out of Context

GeomNet: A Neural Network Based on Riemannian Geometries of SPD Matrix Space and Cholesky Space for 3D Skeleton-Based Interaction Recognition

Hierarchically Self-Supervised Transformer for Human Skeleton
  Representation Learning

TriBERT: Full-body Human-centric Audio-visual Representation Learning for Visual Sound Separation


Self-supervised monocular depth estimation with a vision transformer

MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth
  Estimation

RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions


PyTorch code to run synthetic experiments.

Invariant Risk Minimization

Environment Inference for Invariant Learning

Domain Generalization using Causal Matching

Invariant Risk Minimization Games

Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization

Learning explanations that are hard to vary

Fishr: Invariant Gradient Variances for Out-of-Distribution
  Generalization

Out of Distribution Generalization in Machine Learning

When is invariance useful in an Out-of-Distribution Generalization problem ?

Self-Supervised Learning Disentangled Group Representation as Feature


StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation

StoRM: A Diffusion-Based Stochastic Regeneration Model for Speech Enhancement and Dereverberation

Noise-aware Speech Enhancement using Diffusion Probabilistic Model


Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model

Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks

TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters

Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference

Meeting of the Association for Computational Linguistics

Identification of the Knowledge Structure of Cancer Survivors’ Return to Work and Quality of Life: A Text Network Analysis

International journal of environmental research and public health

Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation

National Culture and Culinary Exploration: Japan Evidence of Heterogenous Moderating Roles of Social Facilitation

Nonparametric Forest-Structured Neural Topic Modeling

International Conference on Computational Linguistics


Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task. Monitoring with TensorBoard. Other visualizations available.

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

Striving for Simplicity: The All Convolutional Net

LARNN: Linear Attention Recurrent Neural Network


Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model

Latent State Marginalization as a Low-cost Approach for Improving
  Exploration


VOLO: Vision Outlooker for Visual Recognition

2nd Place Solution for VisDA 2021 Challenge -- Universally Domain Adaptive Image Recognition

V2ReID: Vision-Outlooker-Based Vehicle Re-Identification

Semantic Segmentation on VSPW Dataset through Aggregation of Transformer
  Models


an R/shiny application for creation of Circos plot interactively

shinyCircos: an R/Shiny application for interactive creation of Circos plot

Molecular Epidemiology, Antibiotic Resistance, and Virulence Traits of Stenotrophomonas maltophilia Strains Associated With an Outbreak in a Mexican Tertiary Care Hospital

Frontiers in cellular and infection microbiology

Active DNA demethylation regulates tracheary element differentiation in Arabidopsis

Gram-Negative ESKAPE Bacteria Surveillance in COVID-19 Pandemic Exposes High-Risk Sequence Types of Acinetobacter baumannii MDR in a Tertiary Care Hospital


Code for "Learning the Best Pooling Strategy for Visual Semantic Embedding", CVPR 2021

Visual Semantic Reasoning for Image-Text Matching

Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO

Learnable Pillar-based Re-ranking for Image-Text Retrieval

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval


We introduce MKQA, an open-domain question answering evaluation set comprising 10k question-answer pairs aligned across 26 typologically diverse languages (260k question-answer pairs in total). The goal of this dataset is to provide a challenging benchmark for question answering quality across a wide set of languages. Please refer to our paper for details, MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering

Unsupervised Cross-lingual Representation Learning at Scale

One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval


SOS IROS 2018 GOOGLE; StereoNet ECCV2018 GOOGLE;  ActiveStereoNet ECCV2018 Oral GOOGLE; HITNET CVPR2021 GOOGLE；PLUME Uber ATG

StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction

HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching

ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems

PLUMENet: Efficient 3D Object Detection from Stereo Images

SOS: Stereo Matching in O(1) with Slanted Support Windows

Temporally Consistent Online Depth Estimation in Dynamic Scenes

Bayesian Learning for Disparity Map Refinement for Semi-Dense Active
  Stereo Vision


A hybrid convolutional and recurrent neural network for predicting the function of DNA sequences

DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences

Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks

MTTFsite: cross-cell type TF binding site prediction by using multi-task learning

Zenodo (CERN European Organization for Nuclear Research)

Assessing deep learning methods in cis-regulatory motif finding based on genomic sequencing data


LSTM and CNN sentiment analysis

Interpretations are useful: penalizing explanations to align neural networks with prior knowledge

Hierarchical interpretations for neural network predictions

Discovering Useful Compact Sets of Sequential Rules in a Long Sequence


Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction

Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction

Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning

Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement
  Learning


PyTorch code for ICLR 2021 paper Unbiased Teacher for Semi-Supervised Object Detection

SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset
  for Autonomous Driving

Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection

Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the OR

Polite Teacher: Semi-Supervised Instance Segmentation with Mutual
  Learning and Pseudo-Label Thresholding

Semi-Supervised Object Detection with Object-wise Contrastive Learning
  and Regression Uncertainty

BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete
  Annotations


PyCrown - Fast raster-based individual tree segmentation for LiDAR data


The BLAKE3 paper: specifications, analysis, and design rationale

Key Event Receipt Infrastructure (KERI)

Goldfish: No More Attacks on Ethereum?!

TPA Auditing to Enhance the Privacy and Security in Cloud Systems


CLIPScore EMNLP code

CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis

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

Dysen-VDM: Empowering Dynamics-aware Text-to-Video Diffusion with LLMs

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


Model analyzer in PyTorch

Green AI

Distilling Knowledge From Object Classification to Aesthetics Assessment

Salient Object Detection via Dynamic Scale Routing

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

U2-ONet: A Two-Level Nested Octave U-Structure Network with a Multi-Scale Attention Mechanism for Moving Object Segmentation

Off-Grid DOA Estimation Based on Circularly Fully Convolutional Networks (CFCN) Using Space-Frequency Pseudo-Spectrum


A collection of MARL benchmarks based on TorchRL

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

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

Value-Decomposition Networks For Cooperative Multi-Agent Learning

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

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

BenchMARL: Benchmarking Multi-Agent Reinforcement Learning


AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries

Can contrastive learning avoid shortcut solutions?

Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present
  and Future


A research library for pytorch-based neural network pruning, compression, and more.

Provable Filter Pruning for Efficient Neural Networks

Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy

Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition

SiPPing Neural Networks: Sensitivity-informed Provable Pruning of Neural Networks

Sparse Flows: Pruning Continuous-depth Models

Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations.

SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search

Low-Regret Active learning


Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"

Neural Variational Inference for Text Processing

Hyperspherical Variational Auto-Encoders

Generating Sentences by Editing Prototypes

vONTSS: vMF based semi-supervised neural topic modeling with optimal transport


Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations

Weak adversarial networks for high-dimensional partial differential equations

Physics Informed Extreme Learning Machine (PIELM) -- A rapid method for the numerical solution of partial differential equations

Distributed learning machines for solving forward and inverse problems in partial differential equations

Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning

Principle-Driven Fiber Transmission Model Based on PINN Neural Network

Competitive Physics Informed Networks

Hybrid Modeling of Lithium-Ion Battery: Physics-Informed Neural Network for Battery State Estimation

AutoIP: A United Framework to Integrate Physics into Gaussian Processes


A toolkit for non-parallel voice conversion based on vector-quantized variational autoencoder

crank: An Open-Source Software for Nonparallel Voice Conversion Based on
  Vector-Quantized Variational Autoencoder

Towards Identity Preserving Normal to Dysarthric Voice Conversion

A Preliminary Study of a Two-Stage Paradigm for Preserving Speaker Identity in Dysarthric Voice Conversion


A Network Integration Approach for Drug-Target Interaction Prediction and Computational Drug Repositioning from Heterogeneous Information

A unified drug–target interaction prediction framework based on knowledge graph and recommendation system

Predicting associations among drugs, targets and diseases by tensor decomposition for drug repositioning

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

Graph Convolutional Embeddings for Recommender Systems

An Integrative Heterogeneous Graph Neural Network–Based Method for Multi-Labeled Drug Repurposing


Official implementation of UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation

A Data-scalable Transformer for Medical Image Segmentation:
  Architecture, Model Efficiency, and Benchmark

Training Like a Medical Resident: Universal Medical Image Segmentation
  via Context Prior Learning


Strategic Dialogue Management via Deep Reinforcement Learning

SimpleDS: A Simple Deep Reinforcement Learning Dialogue System

Deep Reinforcement Learning for Multi-Domain Dialogue Systems

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots

Training an Interactive Humanoid Robot Using Multimodal Deep Reinforcement Learning


Code for http://saliency.mit.edu/

What do different evaluation metrics tell us about saliency models?

Spatially Adaptive Computation Time for Residual Networks

Meaning guides attention in real-world scene images: Evidence from eye movements and meaning maps

How is Gaze Influenced by Image Transformations? Dataset and Model

BubbleView: a validation of a mouse-contingent interface for crowdsourcing image importance and tracking visual attention

ACM transactions on computer-human interaction

SalFBNet: Learning Pseudo-Saliency Distribution via Feedback
  Convolutional Networks

Center Bias Does Not Account for the Advantage of Meaning Over Salience in Attentional Guidance During Scene Viewing

Saliency prediction based on multi-channel models of visual processing

Invariance Analysis of Saliency Models versus Human Gaze During Scene Free Viewing

A Gated Fusion Network for Dynamic Saliency Prediction


X-VLM: Multi-Grained Vision Language Pre-Training (ICML 2022)

ViperGPT: Visual Inference via Python Execution for Reasoning

Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts

When and why vision-language models behave like bags-of-words, and what
  to do about it?

X^2-VLM: All-In-One Pre-trained Model For Vision-Language Tasks

Measuring Progress in Fine-grained Vision-and-Language Understanding

PUG: Photorealistic and Semantically Controllable Synthetic Data for
  Representation Learning

MPCHAT: Towards Multimodal Persona-Grounded Conversation

Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language
  Pretraining?

Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as
  Programmers

XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding

Findings of the Association for Computational Linguistics: ACL 2023


FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.

Federated Optimization in Heterogeneous Networks

Agnostic Federated Learning

Adaptive Personalized Federated Learning

Federated Learning with Compression: Unified Analysis and Sharp Guarantees

Distributionally Robust Federated Averaging


Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender
  Systems

Multi-Task Deep Recommender Systems: A Survey

Deep Task-specific Bottom Representation Network for Multi-Task Recommendation

Federated Recommendation with Additive Personalization


IEEE/ACM TASLP 2020: SBERT-WK: A Sentence Embedding Method By  Dissecting BERT-based Word Models

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

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

SBERT-WK: A Sentence Embedding Method by Dissecting BERT-Based Word Models

Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models

Investigating Active Learning in Interactive Neural Machine Translation


KDD 2021: Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding

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

LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via
  Latent Predictive Coding


Implementation for paper: Causal Intervention for Weakly-Supervised Semantic Segmentation

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations


Python code for training fair logistic regression classifiers.

Fairness Constraints: Mechanisms for Fair Classification

Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment

Empirical Risk Minimization under Fairness Constraints

From Parity to Preference-based Notions of Fairness in Classification

Does mitigating ML's impact disparity require treatment disparity?

Learning Fair Classifiers

Getting a CLUE: A Method for Explaining Uncertainty Estimates

Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification

Fair Bayesian Optimization

Algorithmic fairness datasets: the story so far


This is an add-on to the OCamCalib toolbox by Scaramuzza et al.

Improved wide-angle, fisheye and omnidirectional camera calibration

ISPRS journal of photogrammetry and remote sensing

3D for the people: multi-camera motion capture in the field with consumer-grade cameras and open source software

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


A Watermark for Large Language Models

Provable Robust Watermarking for AI-Generated Text

On the Reliability of Watermarks for Large Language Models

Three Bricks to Consolidate Watermarks for Large Language Models

REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative
  Large Language Models


Main repository for "CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters"

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

Deep contextualized word representations

Multi-task learning in under-resourced Dravidian languages

CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos

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

Building Static Embeddings from Contextual Ones: Is It Useful for Building Distributional Thesauri?

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


Repository that accompanies "An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction" (EMNLP 2019)

Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference

Meta-learning for Few-shot Natural Language Processing: A Survey

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

Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning

Improving Out-of-Scope Detection in Intent Classification by Using Embeddings of the Word Graph Space of the Classes

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

Energy-based Unknown Intent Detection with Data Manipulation

ODIST: Open World Classification via Distributionally Shifted Instances

Findings of the Association for Computational Linguistics: EMNLP 2021

A Neural Few-Shot Text Classification Reality Check

Distribution Calibration for Out-of-Domain Detection with Bayesian
  Approximation


Code release for "Convolutional Two-Stream Network Fusion for Video Action Recognition", CVPR 2016.

Two-Stream Convolutional Networks for Action Recognition in Videos

Multimodal Object Detection via Probabilistic Ensembling

ConvGRU in Fine-grained Pitching Action Recognition for Action Outcome
  Prediction


Tools for manipulating sequence graphs in the GFA and rGFA formats

A draft human pangenome reference

High-quality Arabidopsis thaliana Genome Assembly with Nanopore and HiFi Long Reads

基因组蛋白质组与生物信息学报

The design and construction of reference pangenome graphs

Chromosome-level and graphic genomes provide insights into metabolism of bioactive metabolites and cold-adaption of Pueraria lobata var. montana

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

A Chromosome Level Genome Assembly of a Winter Turnip Rape (Brassica rapa L.) to Explore the Genetic Basis of Cold Tolerance

Fast sequence to graph alignment using the graph wavefront algorithm

RGFA: powerful and convenient handling of assembly graphs

Chromosome-Scale, Haplotype-Resolved Genome Assembly of Non-Sex-Reversal Females of Swamp Eel Using High-Fidelity Long Reads and Hi-C Data

Telomere-to-telomere assembly of cassava genome reveals the evolution of cassava and divergence of allelic expression

First Draft Genome Assembly of Root-Lesion Nematode Pratylenchus scribneri Generated Using Long-Read Sequencing

International journal of molecular sciences


N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started at Element AI.

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

DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting

Topological Attention for Time Series Forecasting

Learning Deep Time-index Models for Time Series Forecasting

Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting

Non-autoregressive Conditional Diffusion Models for Time Series
  Prediction


This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

Conditional Neural Processes

Neural Processes

Attentive Neural Processes

Convolutional Conditional Neural Processes

Bootstrapping Neural Processes

Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables

Meta-Learning surrogate models for sequential decision making

A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud

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

NRTSI: Non-Recurrent Time Series Imputation

Group Equivariant Conditional Neural Processes


Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)

Not Just Streaks: Towards Ground Truth for Single Image Deraining

Towards Unified Deep Image Deraining: A Survey and A New Benchmark


Simple reference implementation of GraphSAGE.

Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs

Graph Neural Networks with Heterophily

Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs

Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey

Learning on Attribute-Missing Graphs

IEEE transactions on pattern analysis and machine intelligence

Generalizing Graph Neural Networks Beyond Homophily.

Dimensional Reweighting Graph Convolutional Networks

The Impact of Global Structural Information in Graph Neural Networks Applications

International Conference on Data Technologies and Applications

PyTorch Geometric Signed Directed: A Software Package on Graph Neural
  Networks for Signed and Directed Graphs

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


Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019

Graph Neural Network for Traffic Forecasting: A Survey

Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and
  Treatment


A PyTorch implementation of "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" (see recipes in aps framework https://github.com/funcwj/aps)

Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation

IEEE/ACM transactions on audio, speech, and language processing

PHASEN: A Phase-and-Harmonics-Aware Speech Enhancement Network

Time Domain Audio Visual Speech Separation

Improving speaker discrimination of target speech extraction with
  time-domain SpeakerBeam

Improving Noise Robust Automatic Speech Recognition with Single-Channel Time-Domain Enhancement Network

End-to-end training of time domain audio separation and recognition

International Conference on Acoustics, Speech, and Signal Processing

DESNet: A Multi-channel Network for Simultaneous Speech Dereverberation,
  Enhancement and Separation

Multi-channel target speech extraction with channel decorrelation and
  target speaker adaptation

Attention-Based Scaling Adaptation for Target Speech Extraction


[NeurIPS2022] Egocentric Video-Language Pretraining

Egocentric Video-Language Pretraining

EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone

Egocentric Video-Language Pretraining @ Ego4D Challenge 2022

Where a Strong Backbone Meets Strong Features -- ActionFormer for Ego4D
  Moment Queries Challenge

Egocentric Video-Language Pretraining @ EPIC-KITCHENS-100 Multi-Instance
  Retrieval Challenge 2022


Hyperspectral-Classification   Pytorch

HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification

IEEE geoscience and remote sensing letters

Going Deeper With Contextual CNN for Hyperspectral Image Classification

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

HSI-CNN: A Novel Convolution Neural Network for Hyperspectral Image

Learning Deep Hierarchical Spatial–Spectral Features for Hyperspectral Image Classification Based on Residual 3D-2D CNN

Multiscale Information Fusion for Hyperspectral Image Classification Based on Hybrid 2D-3D CNN

SpectralNET: Exploring Spatial-Spectral WaveletCNN for Hyperspectral Image Classification


Creative Commons Attribution 4.0 International

Dataset used in "PlantDoc: A Dataset for Visual Plant Disease Detection" accepted in CODS-COMAD 2020

Proceedings of the 7th ACM IKDD CoDS and 25th COMAD

The Power of Transfer Learning in Agricultural Applications: AgriNet

Machine learning for leaf disease classification: data, techniques and applications


OKVIS: Open Keyframe-based Visual-Inertial SLAM.

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM

On-Manifold Preintegration for Real-Time Visual--Inertial Odometry

Selective Sensor Fusion for Neural Visual-Inertial Odometry

Robocentric Visual-Inertial Odometry

The international journal of robotics research

A Review of Visual-Inertial Simultaneous Localization and Mapping from Filtering-Based and Optimization-Based Perspectives

Closed-form preintegration methods for graph-based visual–inertial navigation

Experiments in Fast, Autonomous, GPS-Denied Quadrotor Flight

Good Feature Matching: Toward Accurate, Robust VO/VSLAM With Low Latency


Variational Denoising Network: Toward Blind Noise Modeling and Removal (NeurIPS, 2019) (Pytorch)

Overparametrization of HyperNetworks at Fixed FLOP-Count Enables Fast Neural Image Enhancement

Deep Variational Network Toward Blind Image Restoration


Safe reinforcement learning with stability guarantees

Safe Model-based Reinforcement Learning with Stability Guarantees

The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems

Verification for Machine Learning, Autonomy, and Neural Networks Survey


Geometric Augmentation for Text Image

Decoupled Attention Network for Text Recognition

Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition

SLOGAN: Handwriting Style Synthesis for Arbitrary-Length and Out-of-Vocabulary Text

Conditional Text Image Generation with Diffusion Models

CNN-BiLSTM model for English Handwriting Recognition: Comprehensive Evaluation on the IAM Dataset


GAP is a gender-balanced dataset containing 8,908 coreference-labeled pairs of (ambiguous pronoun, antecedent name), sampled from Wikipedia for the evaluation of coreference resolution in practical applications.

Measuring Bias in Contextualized Word Representations

Resolving Gendered Ambiguous Pronouns with BERT

Algorithmic fairness datasets: the story so far

Pre-training Mention Representations in Coreference Models

Impact of Gender Debiased Word Embeddings in Language Modeling

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


EquiDock: geometric deep learning for fast rigid 3D protein-protein docking

Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking

When Geometric Deep Learning Meets Pretrained Protein Language Models

Flexible Protein-Protein Docking with a Multi-Track Iterative Transformer.

bioRxiv : the preprint server for biology

Learning Harmonic Molecular Representations on Riemannian Manifold


MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion, CVPR 2020

Towards Fully Autonomous UAVs: A Survey


A pytroch implementation of the GAN-TTS: HIGH FIDELITY SPEECH SYNTHESIS WITH ADVERSARIAL NETWORKS

MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

Parallel Wavegan: A Fast Waveform Generation Model Based on Generative Adversarial Networks with Multi-Resolution Spectrogram

High Fidelity Speech Synthesis with Adversarial Networks

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


A genome visualization python package for comparative genomics

Segmental Duplications Drive the Evolution of Accessory Regions in a Major Crop Pathogen


Language Detection with Infinity-gram

Automatic Language Identification in Texts: A Survey

Self-disclosure topic model for classifying and analyzing Twitter conversations

Empirical Methods in Natural Language Processing

AIDA2: A Hybrid Approach for Token and Sentence Level Dialect Identification in Arabic

Conference on Computational Natural Language Learning

The CMU Submission for the Shared Task on Language Identification in Code-Switched Data

Workshop on Computational Approaches to Code Switching

Knowledge-based Query Expansion in Real-Time Microblog Search

Recurrent-Neural-Network for Language Detection on Twitter Code-Switching Corpus.

LILI: A Simple Language Independent Approach for Language Identification

International Conference on Computational Linguistics

Barbara Made the News: Mining the Behavior of Crowds for Time-Aware Learning to Rank

Modeling Temporal Evidence from External Collections

Towards a Corsican Basic Language Resource Kit

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


word2vec Google News model

Detection and Resolution of Rumours in Social Media: A Survey

Word2Vec

Hate Speech Detection: A Solved Problem? The Challenging Case of Long Tail on Twitter

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

Discourse-aware rumour stance classification in social media using sequential classifiers

Hash Embeddings for Efficient Word Representations

Improving Fake News Detection by Using an Entity-enhanced Framework to Fuse Diverse Multimodal Clues

Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion

DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media

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

Word Sense Disambiguation Based on Word Similarity Calculation Using Word Vector Representation from a Knowledge-based Graph


主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

Dense Residual Network: Enhancing global dense feature flow for character recognition

Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition

Fast DenseNet: Towards Efficient and Accurate Text Recognition with Fast Dense Networks.

Compressed DenseNet for Lightweight Character Recognition


Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016

Recent Advances in Open Set Recognition: A Survey

Unseen Class Discovery in Open-world Classification

Open-world Machine Learning: Applications, Challenges, and Opportunities

An Effective Baseline for Robustness to Distributional Shift

Deep Learning Based Open Set Acoustic Scene Classification

torchosr -- a PyTorch extension package for Open Set Recognition models
  evaluation in Python


Creative Commons Attribution Share Alike 4.0 International

The HierText dataset contains ~12k images from the Open Images dataset v6 with large amount of text entities. We provide word, line and paragraph level annotations.

Towards End-to-End Unified Scene Text Detection and Layout Analysis

ICDAR 2023 Competition on Hierarchical Text Detection and Recognition

Hierarchical Text Spotter for Joint Text Spotting and Layout Analysis


Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch

Prototypical Networks for Few-shot Learning

Probabilistic Model-Agnostic Meta-Learning

Amortized Bayesian Meta-Learning

International Conference on Learning Representations

Uncertainty in Model-Agnostic Meta-Learning using Variational Inference

PAC-Bayes meta-learning with implicit task-specific posteriors

SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design


Hyperbolic Knowledge Graph embeddings.

Low-Dimensional Hyperbolic Knowledge Graph Embeddings

Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks

Hyperbolic Temporal Knowledge Graph Embeddings with Relational and Time Curvatures

Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings

Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform

SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction

KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion

Unit Ball Model for Embedding Hierarchical Structures in the Complex Hyperbolic Space


Image Captioning Using Transformer

On Vision Features in Multimodal Machine Translation

Semi-Supervised Cross-Modal Salient Object Detection with U-Structure
  Networks


PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.

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

Soft Actor-Critic Algorithms and Applications

D2RL: Deep Dense Architectures in Reinforcement Learning

Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the Past

Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples With On-Policy Experiences


Mode Connectivity and Fast Geometric Ensembles in PyTorch

Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs

Improving Generalization in Federated Learning by Seeking Flat Minima

Directional Pruning of Deep Neural Networks

Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity
  of Neural Networks

Collective Learning by Ensembles of Altruistic Diversifying Neural Networks


Dataset, code and model for the CVPR'20 paper "The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction". And for the ECCV'20 SimAug paper.

SimAug: Learning Robust Representations from Simulation for Trajectory Prediction

SimAug: Learning Robust Representations from 3D Simulation for Pedestrian Trajectory Prediction in Unseen Cameras


Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks

Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks

Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional
  MoEs


Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Graph Attention Networks

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs

Inductive Representation Learning on Temporal Graphs

Representation Learning for Dynamic Graphs: A Survey

Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks

Graph-based Semi-supervised Learning: A Comprehensive Review

Stealing Links from Graph Neural Networks


The Dynamic Agroforestry Coffee Crop Model


BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks

Neural Sparse Voxel Fields


Use R to get data from the Environmental Protection Agency API


Code associated with the Don't Stop Pretraining ACL 2020 paper

Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative

Efficient Domain Adaptation of Language Models via Adaptive Tokenization

G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks

Task Adaptive Pretraining of Transformers for Hostility Detection


Single Model Uncertainty Estimation via Stochastic Data Centering

Out of Distribution Detection via Neural Network Anchoring


Python package to read in tabulated photon densities and gamma-ray opacities

Sensitivity of the Cherenkov Telescope Array for probing cosmology and fundamental physics with gamma-ray propagation

Journal of Cosmology and Astroparticle Physics

GRB 221009A: A Light Dark Matter Burst or an Extremely Bright Inverse Compton Component?

Interpretation of multi-TeV photons from GRB221009A

Connecting steady emission and very high energy flaring states in blazars: the case of Mrk 421

Monthly notices of the Royal Astronomical Society

MINOT: Modeling the intracluster medium (non-)thermal content and observable prediction tools

Relevance of photon-photon dispersion within the jet for blazar axionlike particle searches

Probing the Extragalactic Mid-infrared Background with HAWC


Learning a mapping from images to psychological similarity spaces with neural networks.

Rethinking the Inception Architecture for Computer Vision

Generalizing Psychological Similarity Spaces to Unseen Stimuli

Mapping Images to Psychological Similarity Spaces Using Neural Networks

Grounding Psychological Shape Space in Convolutional Neural Networks


A Complete Infrastructure to the Design and Exploration of Optimization Sequences

Practical aggregation of semantical program properties for machine learning based optimization

PROCEEDINGS OF THE 2010 INTERNATIONAL CONFERENCE ON COMPILERS, ARCHITECTURES AND SYNTHESIS FOR EMBEDDED SYSTEMS (CASES '10)

IR2Vec: LLVM IR based Scalable Program Embeddings

ACM transactions on architecture and code optimization

SBLP - YACOS: a Complete Infrastructure to the Design and Exploration of Code Optimization Sequences

Proceedings of the 24th Brazilian Symposium on Context-Oriented Programming and Advanced Modularity

ComPy-Learn: A toolbox for exploring machine learning representations for compilers

PROCEEDINGS OF THE 2020 FORUM FOR SPECIFICATION AND DESIGN LANGUAGES (FDL)


Microservice Architecture Reconstruction and Visualization Techniques: A Review

A Decomposition and Metric-Based Evaluation Framework for Microservices

Microvision: Static analysis-based approach to visualizing microservices in augmented reality

Static analysis tools in the era of cloud-native systems


Measure the similarity of text corpora for 74 languages

Representations of Language Varieties Are Reliable Given Corpus Similarity Measures

Register variation remains stable across 60 languages

Corpus Similarity Measures Remain Robust Across Diverse Languages


x-transformers-paddle 2.x version

Highly accurate protein structure prediction with AlphaFold

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

End-to-End Object Detection with Transformers

Swin Transformer V2: Scaling Up Capacity and Resolution

Attention on Attention for Image Captioning

CogView: Mastering Text-to-Image Generation via Transformers

GLU Variants Improve Transformer

Stabilizing Transformers for Reinforcement Learning

ReZero is All You Need: Fast Convergence at Large Depth

Transformers without Tears: Improving the Normalization of Self-Attention


A Python package to intercalibrate light curves.

AGN STORM 2. I. First results: A Change in the Weather of Mrk 817

Reverberation Mapping of Two Luminous Quasars: The Broad-line Region Structure and Black Hole Mass

Monitoring AGNs with Hβ Asymmetry. III. Long-term Reverberation
  Mapping Results of 15 Palomar-Green Quasars

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

Velocity-resolved Reverberation Mapping of Changing-look Active Galactic Nucleus NGC 4151 during Outburst Stage: Evidence for Kinematics Evolution of Broad-line Region

Broad-line region in NGC 4151 monitored by two decades of reverberation
  mapping campaigns. I. Evolution of structure and kinematics


Turn time-tag spectral data into lightcurves

Unveiling the white dwarf in J191213.72-441045.1 through ultraviolet observations

A transient ultraviolet outflow in the short-period X-ray binary UW CrB

The high energy spectrum of Proxima Centauri simultaneously observed at X-ray and FUV wavelengths


petitRADTRANS. A Python radiative transfer package for exoplanet characterization and retrieval

Exoplanet spectroscopy and photometry with the Twinkle space telescope

ARES. V. No Evidence For Molecular Absorption in the HST WFC3 Spectrum of GJ 1132 b

Stellar impact on disequilibrium chemistry and observed spectra of hot Jupiter atmospheres

Remote sensing of exoplanetary atmospheres with ground-based high resolution near-infrared spectroscopy


(a) (p)erfect (c)ircle? ... tests DNA sequences for overlapping ends, then trims and rejoins, and aligns reads to test the join

Whole genome sequencing of Borrelia miyamotoi isolate Izh-4: reference for a complex bacterial genome

Temperate Bacteriophages from Chronic Pseudomonas aeruginosa Lung Infections Show Disease-Specific Changes in Host Range and Modulate Antimicrobial Susceptibility

Whole-Genome Sequences of Five Acinetobacter baumannii Strains From a Child With Leukemia M2

Prevalence of Shigella boydii in Bangladesh: Isolation and Characterization of a Rare Phage MK-13 That Can Robustly Identify Shigellosis Caused by Shigella boydii Type 1

Complete Genome Sequence of a Multidrug-Resistant Acinetobacter baumannii Isolate Obtained from a Mexican Hospital (Sequence Type 422)

Complete Genome Sequence of a blaOXA-58-Producing Acinetobacter baumannii Strain Isolated from a Mexican Hospital.

Genome Sequence of Enterotoxigenic Escherichia coli Strain FMU073332


Tensorflow implemention of various GAN.

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Improved Techniques for Training GANs

Robustness of Conditional GANs to Noisy Labels


Multi-CCD data-driven PSF modelling

Multi-CCD Point Spread Function Modelling

HAL (Le Centre pour la Communication Scientifique Directe)

Rethinking data-driven point spread function modeling with a differentiable optical model

Point spread function modelling for astronomical telescopes: a review focused on weak gravitational lensing studies

Frontiers in astronomy and space sciences


Adaptive alpha shearlet transform for manifold-valued data

Learning the invisible: a hybrid deep learning-shearlet framework for limited angle computed tomography

TorchRadon: Fast Differentiable Routines for Computed Tomography

ShapeNet: Shape Constraint for Galaxy Image Deconvolution

Zenodo (CERN European Organization for Nuclear Research)

Galaxy Image Restoration with Shape Constraint

The journal of fourier analysis and applications/Journal of fourier analysis & applications

Learning sparse representations on the sphere


Unsupervised Representation Learning by Predicting Image Rotations

Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles

Unsupervised Visual Representation Learning by Context Prediction

Revisiting Self-Supervised Visual Representation Learning


Educational tools for AI Ethics and Safety research

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Agent57: Outperforming the Atari Human Benchmark


Converts raw cadence target data from the Kepler space telescope into astronomer-friendly FITS files.

K2 Observations of SN 2018oh Reveal a Two-Component Rising Light Curve for a Type Ia Supernova

K2-136: A Binary System in the Hyades Cluster Hosting a Neptune-sized Planet

Sixty Validated Planets from K2 Campaigns 5–8

The discovery of WASP-151b, WASP-153b, WASP-156b: Insights on giant planet migration and the upper boundary of the Neptunian desert

Photodynamical analysis of the triply eclipsing hierarchical triple system EPIC 249432662

Planetary Candidates from K2 Campaign 16

Three Small Planets Transiting the Bright Young Field Star K2-233

The Random Transiter – EPIC 249706694/HD 139139

A TESS Dress Rehearsal: Planetary Candidates and Variables from K2 Campaign 17

Another Superdense Sub-Neptune in K2-182 b and Refined Mass Measurements for K2-199 b and c


A PyTorch implementation of "Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection"

Deep Residual Learning for Image Recognition

SSD: Single Shot MultiBox Detector

Deeper Depth Prediction with Fully Convolutional Residual Networks


A Reference-Less Quality Metric for Automatic Speech Recognition Via Contrastive-Learning of A Multi-Language Model with Self-Supervision

NoRefER: a Referenceless Quality Metric for Automatic Speech Recognition via Semi-Supervised Language Model Fine-Tuning with Contrastive Learning

Word-Level ASR Quality Estimation for Efficient Corpus Sampling and Post-Editing through Analyzing Attentions of a Reference-Free Metric


Library of bpipe implemented commands commonly applied to minc datafiles, suitable for importing into other pipelines

Modeling and prediction of clinical symptom trajectories in Alzheimer’s disease using longitudinal data

Neuroanatomical and Symptomatic Sex Differences in Individuals at Clinical High Risk for Psychosis

Association of monoamine oxidase-A genetic variants and amygdala morphology in violent offenders with antisocial personality disorder and high psychopathic traits

Sex differences in brain aging among adults with family history of Alzheimer’s disease and APOE4 genetic risk

Refractoriness of aggressive behaviour to pharmacological treatment: cortical thickness analysis in autism spectrum disorder

Bilateral Amygdala Radio-Frequency Ablation for Refractory Aggressive Behavior Alters Local Cortical Thickness to a Pattern Found in Non-refractory Patients

Deformation-based shape analysis of the hippocampus in the semantic variant of primary progressive aphasia and Alzheimer’s disease

Cumulative exposure to ADHD medication is inversely related to hippocampus subregional volume in children

Using cortico‐cerebellar structural patterns to classify early‐ and late‐trained musicians

Cerebellar and subcortical atrophy contribute to psychiatric symptoms in frontotemporal dementia


The Lowest-frequency Fast Radio Bursts: Sardinia Radio Telescope Detection of the Periodic FRB 180916 at 328 MHz

The Fast Radio Burst FRB 20201124A in a star forming region: constraints to the progenitor and multiwavelength counterparts

Milliarcsecond Localization of the Repeating FRB 20201124A

Multiband Detection of Repeating FRB 20180916B

The first seven months of the 2020 X-ray outburst of the magnetar SGR J1935+2154

The northern cross fast radio burst project – II. Monitoring of repeating FRB 20180916B, 20181030A, 20200120E, and 20201124A

Re-Analysis of Breakthrough Listen Observations of FRB 121102: Polarization Properties of Eight New Spectrally Narrow Bursts

IKT 16 aka PSR J0058-7218: discovery of a 22 ms energetic rotation-powered pulsar in the Small Magellanic Cloud

Monthly Notices of the Royal Astronomical Society: Letters


A pytorch implementation of Abstract Syntax Networks

Abstract Syntax Networks for Code Generation and Semantic Parsing

Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge

Embedding API dependency graph for neural code generation


DeepTest: Automated Testing of Deep-Neural-Network-Driven Autonomous Cars

DeepRoad: GAN-Based Metamorphic Testing and Input Validation Framework for Autonomous Driving Systems

PROCEEDINGS OF THE 2018 33RD IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMTED SOFTWARE ENGINEERING (ASE' 18)

Concolic Testing for Deep Neural Networks

Fairness Testing: Testing Software for Discrimination

Predictive Mutation Testing

International Symposium on Software Testing and Analysis

DeepStellar: model-based quantitative analysis of stateful deep learning systems

Fuzz Testing based Data Augmentation to Improve Robustness of Deep Neural Networks

International Conference on Software Engineering

Is neuron coverage a meaningful measure for testing deep neural networks

PROCEEDINGS OF THE 28TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '20)

Model-based Exploration of the Frontier of Behaviours for Deep Learning
  System Testing

DeepMutation++: A Mutation Testing Framework for Deep Learning Systems

International Conference on Automated Software Engineering


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

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

CYRUS Soccer Simulation 2D Team Description Paper 2022


Long Text Generation via Adversarial Training with Leaked Information

Language Generation with Recurrent Generative Adversarial Networks without Pre-training

Text Generation Based on Generative Adversarial Nets with Latent Variable


Detect UN Sustainable Development Goals in Text

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

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


An R package to calculate carbon footprints from air travel based on IATA airport codes or latitude and longitude.


BioMedICUS: A biomedical and clinical NLP engine.

Social and behavioral determinants of health in the era of artificial intelligence with electronic health records: A scoping review

Deep Learning Approaches for Extracting Adverse Events and Indications of Dietary Supplements from Clinical Text

Journal of the American Medical Informatics Association : JAMIA

Extracting Lifestyle Factors for Alzheimer's Disease from Clinical Notes Using Deep Learning with Weak Supervision

Usability Evaluation of an Unstructured Clinical Document Query Tool for Researchers.

Named Entity Recognition in Prehospital Trauma Care

World Congress on Medical and Health Informatics, Medinfo


Unsupervised Domain Adversarial Self-Calibration for Electromyography-Based Gesture Recognition

A Transferable Adaptive Domain Adversarial Neural Network for Virtual Reality Augmented EMG-Based Gesture Recognition

Virtual Reality to Study the Gap Between Offline and Real-Time EMG-based Gesture Recognition


Search Engines with Autoregressive Language models

Autoregressive Search Engines: Generating Substrings as Document Identifiers

A Neural Corpus Indexer for Document Retrieval


An automated assembly pipeline for microbial genomes

Staphylococcus aureus from patients with chronic rhinosinusitis show minimal genetic association between polyp and non-polyp phenotypes

Completing the Genome Sequence of Chlamydia pecorum Strains MC/MarsBar and DBDeUG: New Insights into This Enigmatic Koala (Phascolarctos cinereus) Pathogen

Comparative genomics of Nocardia seriolae reveals recent importation and subsequent widespread dissemination in mariculture farms in the South Central Coast region, Vietnam


SABCEMM-A Simulator for Agent-Based Computational Economic Market Models

SABCEMM-A Simulation Framework for Agent-Based Computational Economic Market Models

Simulation of Stylized Facts in Agent-Based Computational Economic Market Models


Reference files for running HipSTR with various organisms

Polymorphic short tandem repeats make widespread contributions to blood and serum traits

SNPs, short tandem repeats, and structural variants are responsible for differential gene expression across C57BL/6 and C57BL/10 substrains

The mutational dynamics of short tandem repeats in large, multigenerational families

Associations between forensic loci and expression levels of neighboring genes may compromise medical privacy

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

Functional genomics provide key insights to improve the diagnostic yield of hereditary ataxia

Insights from a genome-wide truth set of tandem repeat variation

bioRxiv : the preprint server for biology

Structural variants and short tandem repeats impact gene expression and splicing in bovine testis tissue

The rate of spontaneous mutations in yeast deficient for MutSβ function

Microsatellites used in forensics are in regions enriched for trait-associated variants


The TechQA dataset -- http://ibm.biz/Tech_QA

The TechQA Dataset

Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading

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

Mitigating Data Scarcity for Large Language Models


Lightweight pipeline for processing droplet-based single-cell RNA-seq data

Systematic Comparison of High-throughput Single-Cell and Single-Nucleus Transcriptomes during Cardiomyocyte Differentiation

Single-cell sequencing reveals lineage-specific dynamic genetic regulation of gene expression during human cardiomyocyte differentiation

Ribonucleotide reductase regulatory subunit M2 drives glioblastoma TMZ resistance through modulation of dNTP production


Creating Regression Models Of Building Emissions On Google Cloud


BLUE benchmark consists of five different biomedicine text-mining tasks with ten corpora.

Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets

BioSentVec: creating sentence embeddings for biomedical texts

IEEE International Conference on Healthcare Informatics

CollaboNet: collaboration of deep neural networks for biomedical named entity recognition

ML-Net: multi-label classification of biomedical texts with deep neural networks

Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition

Neural Natural Language Processing for unstructured data in electronic health records: A review

Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study

Specializing Static and Contextual Embeddings in the Medical Domain Using Knowledge Graphs: Let’s Keep It Simple

Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis (LOUHI)


Neuro-symbolic approaches to reasoning problems from abstract argumentation

Deep Learning for Abstract Argumentation Semantics

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

Enforcement Heuristics for Argumentation with Deep Reinforcement Learning

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

On the Impact of Data Selection when Applying Machine Learning in Abstract Argumentation

Frontiers in artificial intelligence and applications


mixup: Beyond Empirical Risk Minimization

Manifold Mixup: Better Representations by Interpolating Hidden States

Noisy Feature Mixup


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

PubChem's BioAssay Database

MoleculeNet: a benchmark for molecular machine learning

Directory of Useful Decoys, Enhanced (DUD-E): Better Ligands and Decoys for Better Benchmarking

Quantum chemistry structures and properties of 134 kilo molecules

ChEMBL: towards direct deposition of bioassay data

ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost

Inverse molecular design using machine learning: Generative models for matter engineering

Current Status of the AMOEBA Polarizable Force Field

Accurate and Reliable Prediction of Relative Ligand Binding Potency in Prospective Drug Discovery by Way of a Modern Free-Energy Calculation Protocol and Force Field

Journal of the American Chemical Society


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

Online learning of event definitions

Theory and practice of logic programming

Semi-Supervised Online Structure Learning for Composite Event Recognition

Online Learning of Weighted Relational Rules for Complex Event Recognition

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

The Complex Event Recognition Group

Distributed Online Learning of Event Definitions


This repository contains code for applying Data2Vec to pretrain Keyword Transformer model as described in "Improving Label-Deficient Keyword Spotting Through Self-Supervised Pretraining".

data2vec: A General Framework for Self-supervised Learning in Speech,
  Vision and Language

Keyword Transformer: A Self-Attention Model for Keyword Spotting


Topochecker, a topological model checker

Model Checking Spatial Logics for Closure Spaces

Spatial logics and model checking for medical imaging

VoxLogicA: a Spatial Model Checker for Declarative Image Analysis (Extended Version)

From Collective Adaptive Systems to Human Centric Computation and Back: Spatial Model Checking for Medical Imaging


PROBABILISTIC FORECASTING OF THE MASSES AND RADII OF OTHER WORLDS

Large Interferometer For Exoplanets (LIFE)

K2 Discovers a Busy Bee: An Unusual Transiting Neptune Found in the Beehive Cluster

Beyond the exoplanet mass-radius relation

Can planetary rings explain the extremely low density of HIP 41378 ��?

California-Kepler Survey. IX. Revisiting the Minimum-mass Extrasolar Nebula with Precise Stellar Parameters

KELT-18b: Puffy Planet, Hot Host, Probably Perturbed

Properties of sub-Neptune atmospheres: TOI-270 system

Monthly Notices of the Royal Astronomical Society

HD 191939 revisited: New and refined planet mass determinations, and a new planet in the habitable zone

A search for transiting planets in the β Pictoris system


A quantum circuit optimizer based on sum-over-paths representations

Reducing the number of non-Clifford gates in quantum circuits

An Efficient Quantum Compiler that reduces T count

T-Count Optimization and Reed–Muller Codes

Quantum Theory from Principles, Quantum Software from Diagrams


k-SLAM ultra fast alignment and taxonomic classification of metagenomic datasets

A Metagenomic Approach to Cyanobacterial Genomics

k-SLAM: accurate and ultra-fast taxonomic classification and gene identification for large metagenomic data sets

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


Results of the WMT19 Metrics Shared Task: Segment-Level and Strong MT Systems Pose Big Challenges

Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)

Results of the WMT18 Metrics Shared Task: Both characters and embeddings achieve good performance

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

Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand

The RWTH Aachen Machine Translation Systems for IWSLT 2017

International Workshop on Spoken Language Translation

Character-level Transformer-based Neural Machine Translation

The RWTH Aachen University Supervised Machine Translation Systems for WMT 2018

Neural Machine Translation of Artwork Titles Using Iconclass Codes

Normalization in Context: Inter-Annotator Agreement for Meaning-Based Target Hypothesis Annotation

A Comparison on Fine-grained Pre-trained Embeddings for the WMT19Chinese-English News Translation Task


PyTorch code of my ICDAR 2021 paper Vision Transformer for Fast and Efficient Scene Text Recognition (ViTSTR)

What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis

Image-based Automatic Dial Meter Reading in Unconstrained Scenarios

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

Leveraging Model Fusion for Improved License Plate Recognition


elmada: Dynamic electricity carbon emission factors and prices for Europe


Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization

RL4CO: a Unified Reinforcement Learning for Combinatorial Optimization
  Library

Enhancing Sample Efficiency in Black-box Combinatorial Optimization via
  Symmetric Replay Training


Efficient Training of Audio Transformers with Patchout

Efficient Large-Scale Audio Tagging Via Transformer-to-CNN Knowledge Distillation

Learning General Audio Representations with Large-Scale Training of
  Patchout Audio Transformers

AudioSR: Versatile Audio Super-resolution at Scale

Audio Embeddings as Teachers for Music Classification


C++ version of the SED fitting code FAST (Kriek et al. 2009); it's faster, uses less memory, and has more features.

Near infrared spectroscopy and star-formation histories of 3 <= z <= 4 quiescent galaxies

Quiescent Galaxies 1.5 Billion Years after the Big Bang and Their Progenitors

An Extremely Massive Quiescent Galaxy at z=3.493: Evidence of Insufficiently Rapid Quenching Mechanisms in Theoretical Models.

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

Molecular gas reservoirs in cluster galaxies at z=1.46

The Massive Ancient Galaxies at z > 3 NEar-infrared (MAGAZ3NE) Survey: Confirmation of Extremely Rapid Star Formation and Quenching Timescales for Massive Galaxies in the Early Universe

The NIRVANDELS Survey: a robust detection of alpha-enhancement in star-forming galaxies at z similar or equal to 3.4

GOODS-ALMA 2.0: Source catalog, number counts, and prevailing compact sizes in 1.1 mm galaxies

The Rapid Buildup of Massive Early-type Galaxies: Supersolar Metallicity, High Velocity Dispersion, and Young Age for an Early-type Galaxy at z = 3.35

A Massive Quiescent Galaxy Confirmed in a Protocluster at z = 3.09


A hybrid DNN–LSTM model for detecting phishing URLs

Detecting Phishing Sites -- An Overview

Mitigating Adversarial Gray-Box Attacks Against Phishing Detectors

IEEE Transactions on Dependable and Secure Computing/IEEE transactions on dependable and secure computing

Recent Advancements in Machine Learning for Cybercrime Prediction

The journal of computer information systems/The Journal of computer information systems


Python Based Auxiliary-Field Quantum Monte Carlo

Unbiasing fermionic quantum Monte Carlo with a quantum computer

A phaseless auxiliary-field quantum Monte Carlo perspective on the uniform electron gas at finite temperatures: Issues, observations, and benchmark study

Stochastic resolution-of-the-identity auxiliary-field quantum Monte Carlo: Scaling reduction without overhead

Constrained-path auxiliary-field quantum Monte Carlo for coupled electrons and phonons

Spectral Functions from Auxiliary-Field Quantum Monte Carlo without Analytic Continuation: The Extended Koopmans' Theorem Approach.

Journal of chemical theory and computation

ipie: A Python-based Auxiliary-Field Quantum Monte Carlo Program with
  Flexibility and Efficiency on CPUs and GPUs

Hybrid Auxiliary Field Quantum Monte Carlo for Molecular Systems


Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening

Zero-Shot Machine Unlearning at Scale via Lipschitz Regularization


BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets

Drug repurposing for COVID-19 via knowledge graph completion

Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition

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

NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature

BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis

Stress Test Evaluation of Biomedical Word Embeddings

Workshop on Biomedical Natural Language Processing

Automatic recognition of abdominal lymph nodes from clinical text

Empirical Methods in Natural Language Processing

Biomedical Language Models are Robust to Sub-optimal Tokenization


The code used in the manuscript titled "Gene duplication and evolution in recurring polyploidization-diploidization cycles in plants".

Gene duplication and evolution in recurring polyploidization–diploidization cycles in plants

A genome sequence resource for the genus Passiflora, the genome of the wild diploid species Passiflora organensis

Comprehensive Analysis of bHLH Transcription Factors in Ipomoea aquatica and Its Response to Anthocyanin Biosynthesis

International journal of molecular sciences

Characterization of Transposon-Derived Accessible Chromatin Regions in Rice (Oryza Sativa)


Implementation of the (beetle antennae search) BAS algorithm and its mutations in R code

BAS: Beetle Antennae Search Algorithm for Optimization Problems

Beetle Swarm Optimization Algorithm:Theory and Application

BSAS: Beetle Swarm Antennae Search Algorithm for Optimization Problems


MultiCite code and data. Models are available on Huggingface.

MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting

A meta-analysis of semantic classification of citations

Scientific document processing: challenges for modern learning methods

International journal on digital libraries


Simulation-Enabled Estimation of Kinetic Rates - Version 2

SEEKR: Simulation Enabled Estimation of Kinetic Rates, A Computational Tool to Estimate Molecular Kinetics and Its Application to Trypsin-Benzamidine Binding.

Quantitative Ranking of Ligand Binding Kinetics with a Multiscale Milestoning Simulation Approach

The journal of physical chemistry letters

Multiscale Estimation of Binding Kinetics Using Brownian Dynamics, Molecular Dynamics and Milestoning

Predicting Ligand Binding Kinetics Using a Markovian Milestoning with Voronoi Tessellations Multiscale Approach

SEEKR2: Versatile Multiscale Milestoning Utilizing the OpenMM Molecular Dynamics Engine

Journal of chemical information and modeling


A Universal Music Translation Network Implementation

Domain-Adversarial Training of Neural Networks

WaveNet: A Generative Model for Raw Audio

A Universal Music Translation Network


CoNLL 2016 Shared Task in English and Chinese Shallow Discourse Parsing

CoNLL 2016 Shared Task on Multilingual Shallow Discourse Parsing

Meeting of the Association for Computational Linguistics

On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification

Argument Labeling of Explicit Discourse Relations using LSTM Neural Networks

Attention for Implicit Discourse Relation Recognition

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

Labeling Explicit Discourse Relations using Pre-trained Language Models


[ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and use planning (Dyna-MPC) during fine-tuning.

Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning

Curiosity-Driven Exploration via Latent Bayesian Surprise

Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels


reveal the vulnerabilities of SplitNN

Unleashing the Tiger: Inference Attacks on Split Learning

Shredder: Learning Noise Distributions to Protect Inference Privacy

NoPeek: Information leakage reduction to share activations in distributed deep learning


Pytorch NLP library based on FastAI

A Neural Conversational Model

Massive Exploration of Neural Machine Translation Architectures

Depthwise Separable Convolutions for Neural Machine Translation

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation


A deep learning program that automatically generates colorized anime characters based on sketch drawings.

Image-to-Image Translation with Conditional Adversarial Networks

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

A Neural Algorithm of Artistic Style

Exploring the structure of a real-time, arbitrary neural artistic stylization network


Towards Automated Modeling Assistance: An Efficient Approach for Repairing Flawed Planning Domains

Proceedings of the AAAI Conference on Artificial Intelligence

A Generalization of the Shortest Path Problem to Graphs with Multiple Edge-Cost Estimates

Synthesis of Procedural Models for Deterministic Transition Systems

Proof-Carrying Plans: a Resource Logic for AI Planning

Principles and Practice of Declarative Programming

Planning with Dynamically Estimated Action Costs

Scale-Adaptive Balancing of Exploration and Exploitation in Classical
  Planning


Pytorch implementation of Bit-Flip based adversarial weight Attack (BFA)

Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack

DeepDyve: Dynamic Verification for Deep Neural Networks

Conference on Computer and Communications Security

HASHTAG: Hash Signatures for Online Detection of Fault-Injection Attacks on Deep Neural Networks

Don't Knock! Rowhammer at the Backdoor of DNN Models

Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators

A Closer Look at Evaluating the Bit-Flip Attack Against Deep Neural Networks

Evaluation of Parameter-based Attacks against Embedded Neural Networks
  with Laser Injection


Efficient Encoding of Cost Optimal Delete-Free Planning as SAT

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

Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal


Computational pipeline for calling consensi on R2C2 nanopore data

Depletion of Hemoglobin Transcripts and Long-Read Sequencing Improves the Transcriptome Annotation of the Polar Bear (Ursus maritimus)

Generation of an isoform-level transcriptome atlas of macrophage activation

Systematic assessment of long-read RNA-seq methods for transcript identification and quantification

bioRxiv : the preprint server for biology

Illumina But With Nanopore: Sequencing Illumina libraries at high accuracy on the ONT MinION using R2C2


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

LiBRe: A Practical Bayesian Approach to Adversarial Detection

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

Detecting Adversarial Data by Probing Multiple Perturbations Using
  Expected Perturbation Score

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


The origins and molecular evolution of SARS-CoV-2 lineage B.1.1.7 in the UK

gofasta: command-line utilities for genomic epidemiology research

Sequencing SARS-CoV-2 in Slovakia: An Unofficial Genomic Surveillance Report


Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

Continuous control with deep reinforcement learning

Playing Atari with Deep Reinforcement Learning

Asynchronous Episodic Deep Deterministic Policy Gradient: Toward Continuous Control in Computationally Complex Environments


A collection of matlab functions for experimenting with different point sets on the sphere

Mesh-free semi-Lagrangian methods for transport on a sphere using radial basis functions

RBF-LOI: Augmenting Radial Basis Functions (RBFs) with Least Orthogonal Interpolation (LOI) for solving PDEs on surfaces

A Partition of Unity Method for Divergence-Free or Curl-Free Radial Basis Function Approximation

A Comparison of Popular Point Configurations on ��^2

A stable algorithm for divergence-free radial basis functions in the flat limit

Tuning Frequency Bias in Neural Network Training with Nonuniform Data


The GN Model of Non-Linear Propagation in Uncompensated Coherent Optical Systems

A Closed-Form Approximation of the Gaussian Noise Model in the Presence of Inter-Channel Stimulated Raman Scattering

The Gaussian Noise Model in the Presence of Inter-Channel Stimulated Raman Scattering

Achievable rate degradation of ultra-wideband coherent fiber communication systems due to stimulated Raman scattering

The ISRS GN Model, an Efficient Tool in Modeling Ultra-Wideband Transmission in Point-to-Point and Network Scenarios

European Conference on Optical Communication


[NeurIPS 2023, ICMI 2023] Quantifying & Modeling Multimodal Interactions

Quantifying & Modeling Multimodal Interactions: An Information
  Decomposition Framework

Multimodal Learning Without Labeled Multimodal Data: Guarantees and
  Applications


A Python package for analysing knots and links, in space-curves or from standard topological notations

Topological nature of the liquid–liquid phase transition in tetrahedral liquids

New Stick Number Bounds from Random Sampling of Confined Polygons

Hypergraphs for multiscale cycles in structured data

A statistical approach to knot confinement via persistent homology

Knot probabilities in equilateral random polygons

Journal of physics. A, Mathematical and theoretical


Algorithms for deformable object manipulation benchmarked in SoftGym

Learning Latent Dynamics for Planning from Pixels

Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Learning to Manipulate Deformable Objects without Demonstrations

SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation

ToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow
  from Point Clouds


Temporal Segment Networks (TSN) in PyTorch

Scaling Egocentric Vision: The EPIC-KITCHENS Dataset

The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines

Video-based surgical skill assessment using 3D convolutional neural networks

International journal of computer assisted radiology and surgery

Lightweight Network Architecture for Real-Time Action Recognition

Relational Self-Attention: What's Missing in Attention for Video Understanding

Towards Real-Time Action Recognition on Mobile Devices Using Deep Models

Influential Rank: A New Perspective of Post-training for Robust Model
  against Noisy Labels


a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning

Efficient Optimization of Echo State Networks for Time Series Datasets

International Joint Conference on Neural Network

Unsupervised Reservoir Computing for Solving Ordinary Differential Equations.

RcTorch: a PyTorch Reservoir Computing Package with Automated
  Hyper-Parameter Optimization


A box-model that automatically creates and solves equations used to describe the evolution in atmospheric composition using Python with Numba and, optionally, Fortran.

JlBox v1.1: a Julia-based multi-phase atmospheric chemistry box model

JlBox v1.0: A Julia based mixed-phase atmospheric chemistry
box-model


Large scale Blast Score Ratio (BSR) analysis

Redefining the differences in gene content between Yersinia pestis and Yersinia pseudotuberculosis using large-scale comparative genomics

Genomic Analysis of Pseudomonas sp. Strain SCT, an Iodate-Reducing Bacterium Isolated from Marine Sediment, Reveals a Possible Use for Bioremediation

Pangenomics in Microbial and Crop Research: Progress, Applications, and Perspectives


Interface to the World Database on Protected Areas


On-Device Domain Generalization

Distilling the Knowledge in a Neural Network

Learning to Prompt for Vision-Language Models

Conditional Prompt Learning for Vision-Language Models

On-Device Domain Generalization


A fast and flexible convex optimization framework based on proximal splitting

Multiframe Motion Coupling for Video Super Resolution

Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields

On the Connection between Dynamical Optimal Transport and Functional
  Lifting

Fast Convex Relaxations using Graph Discretizations


Baseline method for sound event localization task of DCASE 2021 challenge

Overview and Evaluation of Sound Event Localization and Detection in DCASE 2019

IEEE/ACM transactions on audio, speech, and language processing

ACCDOA: Activity-Coupled Cartesian Direction of Arrival Representation
  for Sound Event Localization and Detection

A Dataset of Dynamic Reverberant Sound Scenes with Directional Interferers for Sound Event Localization and Detection.


Official PyTorch implementation of the paper "Generating Novel Scene Compositions from Single Images and Videos"

One-Shot GAN: Learning to Generate Samples from Single Images and Videos

One-Shot Synthesis of Images and Segmentation Masks


DeVIS: Making Deformable Transformers Work for Video Instance Segmentation

TrackFormer: Multi-Object Tracking with Transformers

Make One-Shot Video Object Segmentation Efficient Again


Double Machine Learning for Multiple Treatments

DoubleML -- An Object-Oriented Implementation of Double Machine Learning
  in R

A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Student's Skills

High-Dimensional Metrics in R


Decentralized framework for the distribution of lambda functions to multiple serverless platforms

A Decentralized Framework for Serverless Edge Computing in the Internet of Things

IEEE transactions on network and service management/IEEE eTransactions on network and service management

FaaS execution models for edge applications

Stateless or Stateful FaaS? I'll Take Both!

Zenodo (CERN European Organization for Nuclear Research)


OpenPCSeg: Open Source Point Cloud Segmentation Toolbox and Benchmark

Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

Scribble-Supervised LiDAR Semantic Segmentation

StreetSurf: Extending Multi-view Implicit Surface Reconstruction to
  Street Views

UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

Annotator: A Generic Active Learning Baseline for LiDAR Semantic
  Segmentation


NetVLAD: CNN architecture for weakly supervised place recognition

ASLFeat: Learning Local Features of Accurate Shape and Localization

Stochastic Attraction-Repulsion Embedding for Large Scale Image Localization

DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation


Good-Enough Compositional Data Augmentation

Human few-shot learning of compositional instructions

Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization


Hypothesis Prioritisation in multi-trait Colocalization

Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals

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

基因组蛋白质组与生物信息学报

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

基因组蛋白质组与生物信息学报

A robust and efficient method for Mendelian randomization with hundreds of genetic variants: unravelling mechanisms linking HDL-cholesterol and coronary heart disease

Genome-wide association study and functional characterization identifies candidate genes for insulin-stimulated glucose uptake

Enhancer promoter interactome and Mendelian randomization identify network of druggable vascular genes in coronary artery disease

A Trans-Omic Mendelian Randomization Study of Parental Lifespan Uncovers Novel Aging Biology and Drug Candidates for Human Healthspan Extension

Genetic control of body weight by the human brain proteome


Code for "Causal autoregressive flows" - AISTATS, 2021

Causal Autoregressive Flows

Interventional and Counterfactual Inference with Diffusion Models

Autoregressive flow-based causal discovery and inference


a long-read error correction tool using the multi-string Burrows Wheeler Transform

FMLRC: Hybrid long read error correction using an FM-index

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

A comparative evaluation of hybrid error correction methods for error-prone long reads

Ratatosk: hybrid error correction of long reads enables accurate variant calling and assembly

Improved long read correction for de novo assembly using an FM-index


De novo annotation of young retrotransposons

Transposon age and non-CG methylation

Environmental and epigenetic regulation of Rider retrotransposons in tomato

Sensitive detection of pre-integration intermediates of long terminal repeat retrotransposons in crop plants

A pair of effectors encoded on a conditionally dispensable chromosome of Fusarium oxysporum suppress host-specific immunity


[EMNLP 2021] The baseline code for WebSRC dataset.

WebSRC: A Dataset for Web-Based Structural Reading Comprehension

WebFormer: The Web-page Transformer for Structure Information Extraction


Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark

Heterogeneous Federated Learning: State-of-the-art and Research Challenges

Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning


A Comprehensive Survey and Experimental Comparison of Graph-based Approximate Nearest Neighbor Search

A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search

EFANNA : An Extremely Fast Approximate Nearest Neighbor Search Algorithm Based on kNN Graph

Optimization of Indexing Based on k-Nearest Neighbor Graph for Proximity Search in High-dimensional Data.

High Dimensional Similarity Search with Satellite System Graph: Efficiency, Scalability, and Unindexed Query Compatibility

Worst-case Performance of Popular Approximate Nearest Neighbor Search
  Implementations: Guarantees and Limitations

Fast Approximate Nearest Neighbor Search with a Dynamic Exploration
  Graph using Continuous Refinement

MUST: An Effective and Scalable Framework for Multimodal Search of
  Target Modality


PowerJoular allows monitoring power consumption of multiple platforms and processes.

How Good is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem


Python package for detecting core-periphery structure in networks.

Core-Periphery Structure in Networks

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

Finding multiple core-periphery pairs in networks

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

The journal of network theory in finance

Blockchain Network Analysis: A Comparative Study of Decentralized Banks


(CVPR 2022) Energy-based Latent Aligner for Incremental Learning

Towards Open World Object Detection

OW-DETR: Open-world Detection Transformer

Incremental Object Detection via Meta-Learning

On the Stability-Plasticity Dilemma of Class-Incremental Learning