Official PyTorch implementation of StyleGAN3

Alias-Free Generative Adversarial Networks

Elucidating the Design Space of Diffusion-Based Generative Models

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images

VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids

Generative Neural Articulated Radiance Fields

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

Generalized One-shot Domain Adaptation of Generative Adversarial Networks

RepMix: Representation Mixing for Robust Attribution of Synthesized Images

Evaluating the Performance of StyleGAN2-ADA on Medical Images

Simulation and Synthesis in Medical Imaging

PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs


M3D-RPN: Monocular 3D Region Proposal Network for Object Detection

MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer

Geometry-based Distance Decomposition for Monocular 3D Object Detection

MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation

Boosting Monocular 3D Object Detection With Object-Centric Auxiliary Depth Supervision


Automatically exported from code.google.com/p/word2vec

Pre-trained models for natural language processing: A survey

Advances in Pre-Training Distributed Word Representations

Underspecification Presents Challenges for Credibility in Modern Machine Learning

A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL), VOL 1

PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval

TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network

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

When Does Unsupervised Machine Translation Work?

What's in a Note? Unpacking Predictive Value in Clinical Note Representations.

Unsupervised Neural Machine Translation with SMT as Posterior Regularization

Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders

Empirical Methods in Natural Language Processing


The Pytorch implementation for "Semantic Graph Convolutional Networks for 3D Human Pose Regression" (CVPR 2019).

A simple yet effective baseline for 3d human pose estimation

3D human pose estimation in video with temporal convolutions and semi-supervised training

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


PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.

PointPainting: Sequential Fusion for 3D Object Detection

IoU Loss for 2D/3D Object Detection

PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Learning to Optimally Segment Point Clouds

Detecting and Mapping Trees in Unstructured Environments with a Stereo Camera and Pseudo-Lidar

A Density-Aware PointRCNN for 3D Object Detection in Point Clouds


VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

A Survey on Neural Speech Synthesis

StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

WavThruVec: Latent speech representation as intermediate features for neural speech synthesis

StyleTTS: A Style-Based Generative Model for Natural and Diverse Text-to-Speech Synthesis

Matcha-TTS: A fast TTS architecture with conditional flow matching

DiffVoice: Text-to-Speech with Latent Diffusion

The VoicePrivacy 2024 Challenge Evaluation Plan

SNAC: Speaker-Normalized Affine Coupling Layer in Flow-Based Architecture for Zero-Shot Multi-Speaker Text-to-Speech

Lightweight and High-Fidelity End-to-End Text-to-Speech with Multi-Band Generation and Inverse Short-Time Fourier Transform


Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers

DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning

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

Denoising Diffusion Autoencoders are Unified Self-supervised Learners

Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models

DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation

Applying Guidance in a Limited Interval Improves Sample and Distribution
  Quality in Diffusion Models

Denoising Task Routing for Diffusion Models

Efficient Video Diffusion Models via Content-Frame Motion-Latent
  Decomposition


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

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

The International Journal of Robotics Research

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

Experiments in Fast, Autonomous, GPS-Denied Quadrotor Flight


Instruction Tuning for Large Language Models: A Survey

ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge

HuatuoGPT, towards Taming Language Model to Be a Doctor

MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models

LLM-based Medical Assistant Personalization with Short- and Long-Term Memory Coordination

Hippocrates: An Open-Source Framework for Advancing Large Language
  Models in Healthcare

Large Language Models for Medicine: A Survey


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

Graph-based Semi-supervised Learning: A Comprehensive Review

Stealing Links from Graph Neural Networks

Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks


SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation

Lite-FPN for Keypoint-based Monocular 3D Object Detection


Deep Interest Network for Click-Through Rate Prediction

User Response Prediction in Online Advertising

Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation


Learning RoI Transformer for Detecting Oriented Objects in Aerial Images

Align Deep Features for Oriented Object Detection

Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges

MMRotate: A Rotated Object Detection Benchmark using PyTorch

Proceedings of the 30th ACM International Conference on Multimedia

An Empirical Study of Remote Sensing Pretraining

Arbitrary-Oriented Ship Detection through Center-Head Point Extraction

Accelerating Deep Learning Applications in Space

AlphaRotate: A Rotation Detection Benchmark using TensorFlow

Exploit Direction Information for Remote Ship Detection


Tensorflow implementation of DeepFM for CTR prediction.

Context and Attribute-Aware Sequential Recommendation via Cross-Attention

Proceedings of the 16th ACM Conference on Recommender Systems

MARS: Memory Attention-Aware Recommender System

Deep Factorization Machines for Knowledge Tracing

Can Clinical Symptoms and Laboratory Results Predict CT Abnormality? Initial Findings Using Novel Machine Learning Techniques in Children With COVID-19 Infections

Explainable Recommendation Systems by Generalized Additive Models with Manifest and Latent Interactions

PerCoNet: News Recommendation with Explicit Persona and Contrastive Learning

Deep Attentional Factorization Machines Learning Approach for Driving Safety Risk Prediction


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


Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.

PubTables-1M: Towards comprehensive table extraction from unstructured documents

GriTS: Grid table similarity metric for table structure recognition

Aligning benchmark datasets for table structure recognition

PubTables-1M: Towards a universal dataset and metrics for training and evaluating table extraction models.

From Text to Insight: Large Language Models for Materials Science Data Extraction


A clean PyTorch implementation of SiamFC tracking/training, evaluated on 7 datasets.

Rotation Equivariant Siamese Networks for Tracking

Few-Shot Backdoor Attacks on Visual Object Tracking

Automatic Hyoid Bone Tracking in Real-Time Ultrasound Swallowing Videos Using Deep Learning Based and Correlation Filter Based Trackers

SOTVerse: A User-defined Task Space of Single Object Tracking

PatchNet -- Short-range Template Matching for Efficient Video Processing

On Designing Light-Weight Object Trackers Through Network Pruning: Use CNNS or Transformers?


DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries

Object DGCNN: 3D Object Detection using Dynamic Graphs

RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions


DeepLab v3+ model in PyTorch. Support different backbones.

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Post-Training Piecewise Linear Quantization for Deep Neural Networks

Knowledge Distillation via the Target-aware Transformer

ContexedNet: Context–Aware Ear Detection in Unconstrained Settings

Contour-Aware Equipotential Learning for Semantic Segmentation

The Ikshana Hypothesis of Human Scene Understanding

Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts

ContextMix: A context-aware data augmentation method for industrial visual inspection systems

Engineering applications of artificial intelligence

Improving Predictive Performance and Calibration by Weight Fusion in Semantic Segmentation

Efficient Decoder Reduction for a Variety of Encoder-Decoder Problems


The integration of single cell rank-based gene set enrichment analysis

Microglia-specific transcriptional repression of interferon-regulated genes after prolonged stress in mice

Identification of peripheral blood immune infiltration signatures and construction of monocyte-associated signatures in ovarian cancer and Alzheimer's disease using single-cell sequencing

Single-cell RNA sequencing reveals TCR+ macrophages in HPV-related head and neck squamous cell carcinoma

irGSEA: the integration of single-cell rank-based gene set enrichment analysis

IL18R1-Related Molecules as Biomarkers for Asthma Severity and Prognostic Markers for Idiopathic Pulmonary Fibrosis

Single-cell transcriptome analysis reveals the metabolic changes and the prognostic value of malignant hepatocyte subpopulations and predict new therapeutic agents for hepatocellular carcinoma

Clustering and machine learning-based integration identify cancer associated fibroblasts genes’ signature in head and neck squamous cell carcinoma

Reciprocal regulation between the molecular clock and kidney injury

Bioinformatics Prediction and Experimental Validation of the Role of Macrophage Polarization and Ferroptosis in Gestational Diabetes Mellitus

Comprehensive molecular and cellular characterization of endoplasmic reticulum stress-related key genes in renal ischemia/reperfusion injury


Semantic Segmentation in Pytorch

PSANet: Point-wise Spatial Attention Network for Scene Parsing

KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D

MSeg: A Composite Dataset for Multi-domain Semantic Segmentation

Efficient Semantic Video Segmentation with Per-frame Inference

Double Similarity Distillation for Semantic Image Segmentation

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

Indirect Local Attacks for Context-aware Semantic Segmentation Networks

Multi-Task Pruning for Semantic Segmentation Networks

MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks

IEEE International Conference on Multimedia and Expo

Contour-Aware Equipotential Learning for Semantic Segmentation

Auto-Compressing Subset Pruning for Semantic Image Segmentation


[CVPR 2024] DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis

Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models

DiffuScene: Scene Graph Denoising Diffusion Probabilistic Model for Generative Indoor Scene Synthesis

InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with
  Semantic Graph Prior


The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"

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

One Model is Not Enough: Ensembles for Isolated Sign Language Recognition

Learnable Irrelevant Modality Dropout for Multimodal Action Recognition on Modality-Specific Annotated Videos

Improved Baselines for Data-efficient Perceptual Augmentation of LLMs

Audio Visual Scene-Aware Dialog Generation with Transformer-based Video Representations

Performance Evaluation of Action Recognition Models on Low Quality Videos

Boosting Adversarial Transferability using Dynamic Cues

Modeling movie-evoked human brain activity using motion-energy and space-time vision transformer features

Efficient Transformer-Based Compressed Video Modeling via Informative Patch Selection


A flexible, effective and fast cross-view gait recognition network

GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition

GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set

Gait Recognition using Multi-Scale Partial Representation Transformation with Capsules


unet for image segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

Semantic Segmentation of Underwater Imagery: Dataset and Benchmark

Test-time augmentation for deep learning-based cell segmentation on microscopy images

Microscopy cell nuclei segmentation with enhanced U-Net

An attention-based U-Net for detecting deforestation within satellite sensor imagery

International Journal of Applied Earth Observation and Geoinformation

Large-scale detection and categorization of oil spills from SAR images with deep learning

AnnotatorJ: an ImageJ plugin to ease hand annotation of cellular compartments

Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function

Improving the segmentation of scanning probe microscope images using convolutional neural networks

Deep Learning for Detection of Visible Land Boundaries from UAV Imagery


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

Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information

Universal Conditional Masked Language Pre-training for Neural Machine Translation

Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency Regularization


Semantic Scene Completion from a Single Depth Image

Semantic Scene Completion Combining Colour and Depth: preliminary experiments

Vision-language navigation: a survey and taxonomy


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

GRIT: Faster and Better Image captioning Transformer Using Dual Visual Features

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


This is a dataset for fake news detection research

Fake News Detection on Social Media: A Data Mining Perspective

FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media

SAFE: Similarity-Aware Multi-Modal Fake News Detection

Fake News Early Detection: A Theory-driven Model

FakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Media

Sentiment Analysis for Fake News Detection

Fake news detection based on news content and social contexts: a transformer-based approach

International Journal of Data Science and Analytics

Discover Your Social Identity from What You Tweet: A Content Based Approach

NELA-GT-2018: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles

Combating Disinformation in a Social Media Age


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

Playing for Data: Ground Truth from Computer Games

Modern Approaches to Exact Diagonalization and Selected Configuration Interaction with the Adaptive Sampling CI Method

Journal of chemical theory and computation

Combining Worst-Case Optimal and Traditional Binary Join Processing

A Lightweight Blockchain Based Framework for Underwater IoT

Information overload in group communication: from conversation to cacophony in the Twitch chat

Lempel-Ziv Jaccard Distance, an effective alternative to ssdeep and sdhash

Digital Investigation. The International Journal of Digital Forensics and Incident Response

An efficient deterministic perturbation theory for selected configuration interaction methods

To Petabytes and beyond: recent advances in probabilistic and signal processing algorithms and their application to metagenomics

Sketching Linear Classifiers over Data Streams

A Fast and Compact Invertible Sketch for Network-Wide Heavy Flow Detection


[CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution

Advanced Scalability for Light Field Image Coding

Kernelized Back-Projection Networks for Blind Super Resolution


LSUN Dataset Documentation and Demo Code

LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

Towards the Detection of Diffusion Model Deepfakes

Wavelet-packets for deepfake image analysis and detection

Deepfake: Definitions, Performance Metrics and Standards, Datasets and Benchmarks, and a Meta-Review

Deep Automodulators

Detecting AI-Generated Images via CLIP


Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Highly accurate protein structure prediction with AlphaFold

Highly accurate protein structure prediction for the human proteome

Accurate structure prediction of biomolecular interactions with AlphaFold 3

A foundation model for generalizable disease detection from retinal images

FLEX: Unifying Evaluation for Few-Shot NLP

Vetting of 384 TESS Objects of Interest with TRICERATOPS and Statistical Validation of 12 Planet Candidates

The Impact of Pathway Database Choice on Statistical Enrichment Analysis and Predictive Modeling

Understanding Rare Spurious Correlations in Neural Networks

Exempla Gratis (E.G.): Code Examples for Free

What You See is What You Get: Principled Deep Learning via Distributional Generalization


PyTorch android examples of usage in applications

TorchAudio: Building Blocks for Audio and Speech Processing

PyTorchVideo: A Deep Learning Library for Video Understanding

Pelee-Text++: A Tiny Neural Network for Scene Text Detection

Play It Cool: Dynamic Shifting Prevents Thermal Throttling

DI-Retinex: Digital-Imaging Retinex Theory for Low-Light Image
  Enhancement


GFF/GTF utility providing format conversions, region filtering, FASTA sequence extraction and more

GFF Utilities: GffRead and GffCompare

CHESS: a new human gene catalog curated from thousands of large-scale RNA sequencing experiments reveals extensive transcriptional noise

PRMD: an integrated database for plant RNA modifications

Genomic and transcriptomic variation defines the chromosome-scale assembly of Haemonchus contortus, a model gastrointestinal worm

Long non-coding and coding RNA profiling using strand-specific RNA-seq in human hypertrophic cardiomyopathy

Placenta Transcriptome Profiling in Intrauterine Growth Restriction (IUGR)

International journal of molecular sciences

Thousands of large-scale RNA sequencing experiments yield a comprehensive new human gene list and reveal extensive transcriptional noise

Trichoplax genomes reveal profound admixture and suggest stable wild populations without bisexual reproduction

High-quality Schistosoma haematobium genome achieved by single-molecule and long-range sequencing

Genome of the tropical plant Marchantia inflexa: implications for sex chromosome evolution and dehydration tolerance


TensorFlow Implementation of "Show, Attend and Tell"

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

Personalized Multimodal Feedback Generation in Education

Encoder-decoder models for chest X-ray report generation perform no better than unconditioned baselines


Code for the paper "Evaluating Large Language Models Trained on Code"

Holistic Evaluation of Language Models

Large Language Models Meet NL2Code: A Survey

Multi-lingual Evaluation of Code Generation Models

No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation

Capturing Failures of Large Language Models via Human Cognitive Biases

PanGu-Coder: Program Synthesis with Function-Level Language Modeling

PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback

Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls
  and Complex Instructions


A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.

Multi-Granularity Prediction for Scene Text Recognition

GeoLayoutLM: Geometric Pre-training for Visual Information Extraction

Levenshtein OCR

Vision-Language Pre-Training for Boosting Scene Text Detectors

LayoutLLM: Layout Instruction Tuning with Large Language Models for Document Understanding

Vision Grid Transformer for Document Layout Analysis

LISTER: Neighbor Decoding for Length-Insensitive Scene Text Recognition

LORE: Logical Location Regression Network for Table Structure Recognition

OmniParser: A Unified Framework for Text Spotting, Key Information
  Extraction and Table Recognition

Multi-Granularity Prediction with Learnable Fusion for Scene Text Recognition


[NeurIPS 2021] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Self-Training Guided Disentangled Adaptation for Cross-Domain Remote Sensing Image Semantic Segmentation

Water extraction from optical high-resolution remote sensing imagery: a multi-scale feature extraction network with contrastive learning


Tools for fast and flexible genome assembly scaffolding and improvement

RaGOO: fast and accurate reference-guided scaffolding of draft genomes

Automated assembly scaffolding elevates a new tomato system for high-throughput genome editing

The Genome Assembly and Annotation of the Apollo Butterfly Parnassius apollo, a Flagship Species for Conservation Biology

Monitoring of the SARS-CoV-2 Omicron BA.1/BA.2 lineage transition in the Swedish population reveals increased viral RNA levels in BA.2 cases

Biosynthesis of mushroom-derived type II ganoderic acids by engineered yeast

CAMSA: a tool for comparative analysis and merging of scaffold assemblies

A beginner’s guide to assembling a draft genome and analyzing structural variants with long-read sequencing technologies

Compared analysis with a high-quality genome of weedy rice reveals the evolutionary game of de-domestication

Widespread incomplete lineage sorting and introgression shaped adaptive radiation in the Gossypium genus

The macronuclear genomic landscape within Tetrahymena thermophila


An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"

Attention Is All You Need

FastSpeech: Fast, Robust and Controllable Text to Speech

A Survey on Neural Speech Synthesis

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

UniAudio: An Audio Foundation Model Toward Universal Audio Generation

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

Meta-TTS: Meta-Learning for Few-Shot Speaker Adaptive Text-to-Speech

Hierarchical Prosody Modeling for Non-Autoregressive Speech Synthesis

STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech


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

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

A Tutorial on Bayesian Optimization

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

Freeze-Thaw Bayesian Optimization

Bayesian Optimization for Materials Design

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

Deep Feature Learning for EEG Recordings

The Role of Context Types and Dimensionality in Learning Word Embeddings

Combinatorial Bayesian Optimization using the Graph Cartesian Product


An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.

Multi-Omics Approaches for Revealing the Epigenetic Regulation of Histone H3.1 during Spermatogonial Stem Cell Differentiation In Vitro


Tools for plotting methylation data in various ways

Cas9 targeted enrichment of mobile elements using nanopore sequencing

Methylartist: tools for visualizing modified bases from nanopore sequence data

Extrachromosomal circular DNA and structural variants highlight genome instability in Arabidopsis epigenetic mutants

Single-molecule simultaneous profiling of DNA methylation and DNA-protein interactions with Nanopore-DamID


Unsupervised Semantic Segmentation by Distilling Feature Correspondences

Bridging the Gap to Real-World Object-Centric Learning

Self-Guided Diffusion Models

Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation


[SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

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

3D generation on ImageNet

PTW: Pivotal Tuning Watermarking for Pre-Trained Image Generators

DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing

Revisiting the Evaluation of Image Synthesis with GANs

SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer

DF40: Toward Next-Generation Deepfake Detection

Improving the Effectiveness of Deep Generative Data


Analysis Pipeline for Single Cell ATAC-seq

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

Comprehensive analysis of single cell ATAC-seq data with SnapATAC

Single nucleus multi-omics identifies human cortical cell regulatory genome diversity

Chromatin-accessibility estimation from single-cell ATAC-seq data with scOpen

Single cell functional genomics reveals plasticity of subcutaneous white adipose tissue (WAT) during early postnatal development

Integrative analysis of single-cell RNA-seq and ATAC-seq reveals heterogeneity of induced pluripotent stem cell-derived hepatic organoids


:floppy_disk: :page_with_curl: "Reads to report" for public health and clinical microbiology

Bakta: Rapid & standardized annotation of bacterial genomes via alignment-free sequence identification

Bactopia: a flexible pipeline for complete analysis of bacterial genomes

Increased Usage of Antiseptics Is Associated with Reduced Susceptibility in Clinical Isolates of Staphylococcus aureus

An outbreak of pneumococcal meningitis among older children (≥5 years) and adults after the implementation of an infant vaccination programme with the 13-valent pneumococcal conjugate vaccine in Ghana

Host adaptation and convergent evolution increases antibiotic resistance without loss of virulence in a major human pathogen

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

Genomic epidemiology and antimicrobial resistance of Neisseria gonorrhoeae in New Zealand

The Journal of antimicrobial chemotherapy

Dissemination and persistence of extended-spectrum cephalosporin-resistance encoding IncI1-blaCTXM-1 plasmid among Escherichia coli in pigs

Species-Specific Quality Control, Assembly and Contamination Detection in Microbial Isolate Sequences with AQUAMIS

Antimicrobial Susceptibility of Escherichia coli and Salmonella spp. Isolates From Healthy Pigs in Australia: Results of a Pilot National Survey


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

Are you Struggling? Dataset and Baselines for Struggle Determination in
  Assembly Videos


Neural Graph Collaborative Filtering, SIGIR2019

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Neural Graph Collaborative Filtering

PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19)

Intent Contrastive Learning for Sequential Recommendation

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

Sequential Recommendation via Stochastic Self-Attention

Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation

Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems

Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation

Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis

Proceedings of the 17th ACM Conference on Recommender Systems

BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning


The code of "Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting"

TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text

Scene Text Retrieval via Joint Text Detection and Similarity Learning

GLASS: Global to Local Attention for Scene-Text Spotting

Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spotting

COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated Texts

Hierarchical Text Spotter for Joint Text Spotting and Layout Analysis


Code for paper Fine-tune BERT for Extractive Summarization

Friendly Topic Assistant for Transformer Based Abstractive Summarization

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

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

EntSUM: A Data Set for Entity-Centric Extractive Summarization

What’s in Your Head? Emergent Behaviour in Multi-Task Transformer Models

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

EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering

Meeting of the Association for Computational Linguistics

Applicability of large language models and generative models for legal case judgement summarization

Summarizing Community-based Question-Answer Pairs

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

Questioning Biases in Case Judgment Summaries: Legal Datasets or Large Language Models?


(Not Offical) BBMap short read aligner, and other bioinformatic tools.

Stable distinct core eukaryotic viromes in different mosquito species from Guadeloupe, using single mosquito viral metagenomics

Probiotic consumption relieved human stress and anxiety symptoms possibly via modulating the neuroactive potential of the gut microbiota

Capturing the Resistome: a Targeted Capture Method To Reveal Antibiotic Resistance Determinants in Metagenomes

Ancestral Absence of Electron Transport Chains in Patescibacteria and DPANN

Metagenomic analysis of bile salt biotransformation in the human gut microbiome

Functional characterization of the human tRNA methyltransferases TRMT10A and TRMT10B

The megabase-scale crossover landscape is largely independent of sequence divergence

What Can Long Terminal Repeats Tell Us About the Age of LTR Retrotransposons, Gene Conversion and Ectopic Recombination?

Common Presence of Phototrophic Gemmatimonadota in Temperate Freshwater Lakes

Benzo[a]pyrene stress impacts adaptive strategies and ecological functions of earthworm intestinal viromes


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

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

Mask R-CNN

Focal Loss for Dense Object Detection

End-to-End Object Detection with Transformers

Masked-attention Mask Transformer for Universal Image Segmentation

DensePose: Dense Human Pose Estimation In The Wild

Panoptic Feature Pyramid Networks

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

What Makes for Good Views for Contrastive Learning?

A Metaverse: Taxonomy, Components, Applications, and Open Challenges


Fast expectation maximization for microbial source tracking

FEAST: fast expectation-maximization for microbial source tracking

Distribution of Bacterial Endophytes in the Non-lesion Tissues of Potato and Their Response to Potato Common Scab

Gut microbiota composition in the sympatric and diet‐sharing Drosophila simulans and Dicranocephalus wallichii bowringi shaped largely by community assembly processes rather than regional species pool

Chicken Manure and Mushroom Residues Affect Soil Bacterial Community Structure but Not the Bacterial Resistome When Applied at the Same Rate of Nitrogen for 3 Years

Determination of a criminal suspect using environmental plant DNA metabarcoding technology

Assembly, Core Microbiota, and Function of the Rhizosphere Soil and Bark Microbiota in Eucommia ulmoides

Multi-dimensional investigation and distribution characteristics analysis of gut microbiota of different marine fish in Fujian Province of China

The molecular impact of life in an indoor environment


Bayesian Additive Regression Trees For Python

A Survey on Causal Inference

GraphITE: Estimating Individual Effects of Graph-structured Treatments

Machine learning applied to asteroid dynamics

Celestial Mechanics and Dynamical Astronomy

Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees

On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization

Inferring Causal Effects Under Heterogeneous Peer Influence


On the limits of fitting complex models of population history to f-statistics

Inferring Population Histories for Ancient Genomes Using Genome-Wide Genealogies

A geometric relationship of F2, F3 and F4-statistics with principal component analysis.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences

Genetic admixture and language shift in the medieval Volga-Oka interfluve

Modelling complex population structure using F-statistics and Principal Component Analysis

Reconstructing the Genetic Relationship between Ancient and Present-Day Siberian Populations

Imputed genomes and haplotype-based analyses of the Picts of early medieval Scotland reveal fine-scale relatedness between Iron Age, early medieval and the modern people of the UK


OpenPose's Unity Plugin for Unity users

OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields

Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

Convolutional Pose Machines

Hand Keypoint Detection in Single Images using Multiview Bootstrapping


Yet another Hi-C scaffolding tool

YaHS: yet another Hi-C scaffolding tool

The clove (Syzygium aromaticum) genome provides insights into the eugenol biosynthesis pathway

Scalable, accessible, and reproducible reference genome assembly and evaluation in Galaxy

bioRxiv : the preprint server for biology

The genome sequence of the King Ragworm, Alitta virens (Sars, 1835)

The genome sequence of the northern goshawk, Accipiter gentilis (Linnaeus, 1758)

The genome sequence of the Squinting Bush Brown, Bicyclus anynana (Butler, 1879)

The genome sequences of the marine diatom Epithemia pelagica strain UHM3201 (Schvarcz, Stancheva & Steward, 2022) and its nitrogen-fixing, endosymbiotic cyanobacterium

The genome sequence of Philonthus cognatus (Stephens, 1832) (Coleoptera, Staphylinidae), a rove beetle

The genome sequence of the spider, Parasteatoda lunata (Clerck, 1757)

The genome sequence of the Ear Moth, Amphipoea oculea (Linnaeus, 1761)


graph wavenet

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions

IEEE Transactions on Intelligent Transportation Systems

How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey

ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed

International Conference on Information and Knowledge Management

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

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

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


Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

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

Feature Pyramid Networks for Object Detection

Aggregated Residual Transformations for Deep Neural Networks

Deep Clustering for Unsupervised Learning of Visual Features

BING: Binarized normed gradients for objectness estimation at 300fps

Face Detection with the Faster R-CNN

YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video

Learning non-maximum suppression

Bounding Box Regression with Uncertainty for Accurate Object Detection

Learning Features by Watching Objects Move


Official release of the ProGen models

ProGen2: Exploring the Boundaries of Protein Language Models

Current progress, challenges, and future perspectives of language models for protein representation and protein design

Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks

Multi-level Protein Representation Learning for Blind Mutational Effect Prediction


This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

Deep High-Resolution Representation Learning for Human Pose Estimation

High-Resolution Representations for Labeling Pixels and Regions

Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction

FlowFace: Semantic Flow-guided Shape-aware Face Swapping


SMC++ infers population history from whole-genome sequence data.

Yam genomics supports West Africa as a major cradle of crop domestication

Zenodo (CERN European Organization for Nuclear Research)

Genomic basis of homoploid hybrid speciation within chestnut trees

Limits and Convergence properties of the Sequentially Markovian Coalescent

Thousands of Qatari genomes inform human migration history and improve imputation of Arab haplotypes

Sweepstakes reproductive success via pervasive and recurrent selective sweeps

Patterns of recombination in snakes reveal a tug of war between PRDM9 and promoter-like features

Genetic Diversity, Population Structure, and Environmental Adaptation Signatures of Chinese Coastal Hard-Shell Mussel Mytilus coruscus Revealed by Whole-Genome Sequencing

Genetic structure and characteristics of Tibetan chickens

Genetic diversity landscapes in outcrossing and selfingCaenorhabditisnematodes

Origin of the Laurentian Great Lakes fish fauna through upward adaptive radiation cascade prior to the Last Glacial Maximum


LATTE: Lightcurve Analysis Tool for Transiting Exoplanets

A search for transiting planets around hot subdwarfs

The TESS Triple-9 Catalog II: a new set of 999 uniformly vetted exoplanet candidates


EdgeCloudSim: An Environment for Performance Evaluation of Edge Computing Systems

All one needs to know about fog computing and related edge computing paradigms: A complete survey

Edge-Cloud Continuum Solutions for Urban Mobility Prediction and Planning

Effect of RSU Placement on Autonomous Vehicle V2I Scenarios

Balkan Journal of Electrical and Computer Engineering

Edge to Cloud Tools: A Multivocal Literature Review


Code release for NeuS

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction

Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction

CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation

Reconstructing Objects in-the-wild for Realistic Sensor Simulation

Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections

Sparse 3D Reconstruction via Object-Centric Ray Sampling

Objects as Volumes: A Stochastic Geometry View of Opaque Solids


PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

A Practical Contrastive Learning Framework for Single-Image Super-Resolution

Deep Learning-based Image Super-Resolution Considering Quantitative and Perceptual Quality

Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution

SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis

Texture Hallucination for Large-Scale Painting Super-Resolution

One-to-One Mapping-Like Properties of DCN-Based Super-Resolution and its Applicability to Real-World Images


De-Novo Repeat Discovery Tool

RepeatModeler2: automated genomic discovery of transposable element families

Effector gene reshuffling involves dispensable mini-chromosomes in the wheat blast fungus

Chromosome-scale genome assembly provides insights into the evolution and flavor synthesis of passion fruit (Passiflora edulis Sims)

Reference genome assemblies reveal the origin and evolution of allohexaploid oat

Global patterns in genomic diversity underpinning the evolution of insecticide resistance in the aphid crop pest Myzuspersicae

Earl Grey: a fully automated user-friendly transposable element annotation and analysis pipeline

Repetitive DNA sequence detection and its role in the human genome

Contingency in the convergent evolution of a regulatory network: Dosage compensation in Drosophila

Genetics of nodulation in Aeschynomene evenia uncovers new mechanisms of the rhizobium-legume symbiosis

Genomic and Metabolomic Analyses of the Medicinal Fungus Inonotus hispidus for Its Metabolite’s Biosynthesis and Medicinal Application


Ultrafast de novo assembly for long noisy reads (though having no consensus step)

Minimap and miniasm: fast mapping and de novo assembly for noisy long sequences

Nanopore DNA Sequencing and Genome Assembly on the International Space Station

Nanopore Sequencing Technology and Tools: Computational Analysis of the Current State, Bottlenecks, and Future Directions

Research in Computational Molecular Biology

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

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

HASLR: Fast Hybrid Assembly of Long Reads

MinION rapid sequencing: Review of potential applications in neurosurgery

RETRACTED ARTICLE: Selective inheritance of target genes from only one parent of sexually reproduced F1 progeny in Arabidopsis

The clinical utility of two high-throughput 16S rRNA gene sequencing workflows for taxonomic assignment of unidentifiable bacterial pathogens in MALDI-TOF MS

A spectral algorithm for fast de novo layout of uncorrected long nanopore reads

Long-Read Sequencing and Hybrid Assembly for Genomic Analysis of Clinical Brucella melitensis Isolates


PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

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

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

Controlling Text-to-Image Diffusion by Orthogonal Finetuning

SuS-X: Training-Free Name-Only Transfer of Vision-Language Models

Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning

Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation

FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation

Large Language Models are Visual Reasoning Coordinators

Multimodal Procedural Planning via Dual Text-Image Prompting


Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Multimodal datasets: misogyny, pornography, and malignant stereotypes

Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning

Uncheatable Machine Learning Inference


NCrystal : a library for thermal neutron transport in crystals and other materials

Fast neutron sensitivity of neutron detectors based on Boron-10 converter layers

Performance evaluation of the Boron Coated Straws detector with Geant4

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Time- and energy-resolved effects in the boron-10 based multi-grid and helium-3 based thermal neutron detectors

A simulational study of the indirect-geometry neutron spectrometer BIFROST at the European Spallation Source, from neutron source position to detector position

Investigation of neutron scattering in the Multi-Blade detector with Geant4 simulations

HighNESS conceptual design report: Volume I

Prompt: Probability-conserved cross section biasing Monte Carlo particle transport system


Interactive Cytometry Data Analysis

Oligodendrocyte precursor cells engulf synapses during circuit remodeling in mice

mRNA vaccine-induced T cells respond identically to SARS-CoV-2 variants of concern but differ in longevity and homing properties depending on prior infection status

The extracellular domain of site-2-metalloprotease RseP is important for sensitivity to bacteriocin EntK1

macroH2A2 antagonizes epigenetic programs of stemness in glioblastoma

Cytokinetic diversity in mammalian cells is revealed by the characterization of endogenous anillin, Ect2 and RhoA


The official repo of Qwen-Audio (通义千问-Audio) chat & pretrained large audio language model proposed by Alibaba Cloud.

Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

GAMA: A Large Audio-Language Model with Advanced Audio Understanding and
  Complex Reasoning Abilities

CrossCheckGPT: Universal Hallucination Ranking for Multimodal Foundation Models

AffectGPT: Dataset and Framework for Explainable Multimodal Emotion
  Recognition


Multivariate Time Series Transformer, public version

A Transformer-based Framework for Multivariate Time Series Representation Learning

Towards an automated data cleaning with deep learning in CRESST

MBrain: A Multi-channel Self-Supervised Learning Framework for Brain Signals


PyTorch for Semantic Segmentation

Spherical CNNs on Unstructured Grids

Truly Generalizable Radiograph Segmentation with Conditional Domain Adaptation

Extremely Weak Supervised Image-to-Image Translation for Semantic Segmentation


The primary source code repository for PHCpack, a software package to solve polynomial systems with homotopy continuation methods.

A Robust Numerical Path Tracking Algorithm for Polynomial Homotopy Continuation

Accelerating polynomial homotopy continuation on a graphics processing unit with double double and quad double arithmetic

Least Squares on GPUs in Multiple Double Precision

Extrapolating Solution Paths of Polynomial Homotopies towards
  Singularities with PHCpack and phcpy

Extrapolating on Taylor Series Solutions of Homotopies with Nearby Poles


R package for detecting doublets in single-cell RNA sequencing data

Single cell transcriptional signatures of the human placenta in term and preterm parturition

Single-cell transcriptome profiling of an adult human cell atlas of 15 major organs

HypoMap—a unified single-cell gene expression atlas of the murine hypothalamus

Cardiac cell type–specific gene regulatory programs and disease risk association

Single-cell RNA sequencing reveals time- and sex-specific responses of mouse spinal cord microglia to peripheral nerve injury and links ApoE to chronic pain

Resolving the graft ischemia-reperfusion injury during liver transplantation at the single cell resolution

Regionally distinct trophoblast regulate barrier function and invasion in the human placenta

Single-cell profiling reveals pathogenic role and differentiation trajectory of granzyme K+CD8+ T cells in primary Sjögren’s syndrome

Sex differences in coronary artery disease and diabetes revealed by scRNA-Seq and CITE-Seq of human CD4+ T cells

Loss of primary cilia and dopaminergic neuroprotection in pathogenic LRRK2-driven and idiopathic Parkinson’s disease


Train the HRNet model on ImageNet

Deep High-Resolution Representation Learning for Human Pose Estimation

Deep High-Resolution Representation Learning for Visual Recognition

High-Resolution Representations for Labeling Pixels and Regions

Reviving Iterative Training with Mask Guidance for Interactive Segmentation

1st Place Solutions of Waymo Open Dataset Challenge 2020 -- 2D Object Detection Track

Contour-based Interactive Segmentation

Widely Applicable Strong Baseline for Sports Ball Detection and Tracking


Training and Detecting Objects with YOLO3

Underwater Fish Detection using Deep Learning for Water Power Applications

FOD-A: A Dataset for Foreign Object Debris in Airports

Latent Space Inpainting for Loss-Resilient Collaborative Object Detection

Using Mobile Edge AI to Detect and Map Diseases in Citrus Orchards

Central Attention and a Dual Path Convolutional Neural Network in Real-World Tree Species Recognition

International journal of environmental research and public health

Auto-Tiler: Variable-Dimension Autoencoder with Tiling for Compressing Intermediate Feature Space of Deep Neural Networks for Internet of Things

Fast Pre-Diagnosis of Neoplastic Changes in Cytology Images Using Machine Learning


Protocol specification, white paper, high level documents, etc.

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

An Empirical Assessment of Global COVID-19 Contact Tracing Applications

Survey of Decentralized Solutions with Mobile Devices for User Location Tracking, Proximity Detection, and Contact Tracing in the COVID-19 Era

International Conference on Data Technologies and Applications

DESIRE: A Third Way for a European Exposure Notification System Leveraging the best of centralized and decentralized systems

COVID-19 Contact Tracing and Privacy: A Longitudinal Study of Public Opinion

A Survey on Contact Tracing: The Latest Advancements and Challenges

Wearable devices and IoT applications for symptom detection, infection tracking, and diffusion containment of the COVID-19 pandemic: a survey

Listening to Bluetooth Beacons for Epidemic Risk Mitigation

Contact Tracing Made Un-relay-able

Cross Hashing: Anonymizing encounters in Decentralised Contact Tracing Protocols


Automatically exported from code.google.com/p/ea-utils

Altered intestinal microbiota–host mitochondria crosstalk in new onset Crohn’s disease

An atlas of cortical circular RNA expression in Alzheimer disease brains demonstrates clinical and pathological associations

Allelic Variation of MYB10 Is the Major Force Controlling Natural Variation in Skin and Flesh Color in Strawberry (Fragaria spp.) Fruit

Rapid defense responses in maize leaves induced by Spodoptera exigua caterpillar feeding

DPPA2/4 and SUMO E3 ligase PIAS4 opposingly regulate zygotic transcriptional program

Defining the root endosphere and rhizosphere microbiomes from the World Olive Germplasm Collection

New Biological Insights Into How Deforestation in Amazonia Affects Soil Microbial Communities Using Metagenomics and Metagenome-Assembled Genomes

Reduced microbial diversity in adult survivors of childhood acute lymphoblastic leukemia and microbial associations with increased immune activation

The sputum microbiome is distinct between COPD and health, independent of smoking history

Metagenomic Analysis of a Biphenyl-Degrading Soil Bacterial Consortium Reveals the Metabolic Roles of Specific Populations


Poisson Surface Reconstruction

Shape As Points: A Differentiable Poisson Solver

POCO: Point Convolution for Surface Reconstruction

Critical Regularizations for Neural Surface Reconstruction in the Wild

Learning Implicit Templates for Point-Based Clothed Human Modeling

How to build a 2d and 3d aerial multispectral map?—all steps deeply explained

Neural Poisson: Indicator Functions for Neural Fields


From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey

On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks

Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images

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

SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments

SAPA: Similarity-Aware Point Affiliation for Feature Upsampling

Robust Shape Fitting for 3D Scene Abstraction

Monocular Depth Estimation Using Cues Inspired by Biological Vision Systems


A powerful toolset for genome arithmetic.

Recurrent somatic mutations in POLR2A define a distinct subset of meningiomas

APOBEC3A cytidine deaminase induces RNA editing in monocytes and macrophages

SETD2 loss perturbs the kidney cancer epigenetic landscape to promote metastasis and engenders actionable dependencies on histone chaperone complexes

Revealing stage-specific expression patterns of long noncoding RNAs along mouse spermatogenesis

Androgen-Binding Protein (Abp) Evolutionary History: Has Positive Selection Caused Fixation of Different Paralogs in Different Taxa of the Genus Mus?

MeCP2-Induced Alternations of Transcript Levels and m6A Methylation in Human Retinal Pigment Epithelium Cells

Manipulation of TAD reorganization by chemical-dependent genome linking


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

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

Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds

Rethinking Pseudo-LiDAR Representation

Fruit Detection and Segmentation for Apple Harvesting Using Visual Sensor in Orchards

PointGuard: Provably Robust 3D Point Cloud Classification

Orthogonal Over-Parameterized Training

Regularizing Neural Networks via Minimizing Hyperspherical Energy

Learning with Hyperspherical Uniformity

On The Adversarial Robustness of 3D Point Cloud Classification


PyTorch Implementation of DeepVO

DeepVO: Towards end-to-end visual odometry with deep Recurrent Convolutional Neural Networks

International Conference on Robotics and Automation

LIFT-SLAM: a deep-learning feature-based monocular visual SLAM method

The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation

MDN-VO: Estimating Visual Odometry with Confidence

IEEE/RJS International Conference on Intelligent RObots and Systems

Multi-Camera Sensor Fusion for Visual Odometry using Deep Uncertainty Estimation

International Conference on Intelligent Transportation Systems

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


A preprocessing and QC pipeline for HiChIP data

hichipper: a preprocessing pipeline for calling DNA loops from HiChIP data

MAPS: Model-based analysis of long-range chromatin interactions from PLAC-seq and HiChIP experiments

Integrative analysis of vascular endothelial cell genomic features identifies AIDA as a coronary artery disease candidate gene

Manipulation of TAD reorganization by chemical-dependent genome linking


Destruction and Construction Learning for Fine-grained Image Recognition

Destruction and Construction Learning for Fine-Grained Image Recognition

Look-into-Object: Self-supervised Structure Modeling for Object Recognition

A Simple Episodic Linear Probe Improves Visual Recognition in the Wild

A Multimodal Late Fusion Model for E-Commerce Product Classification


Simulate Functional Mockup Units (FMUs) in Python

Vico: An entity-component-system based co-simulation framework

Simulation modelling practice and theory

Composing Modeling and Simulation with Machine Learning in Julia

Co-simulation as a Fundamental Technology for Twin Ships

Modeling, Identification and Control: A Norwegian Research Bulletin

Comparative study of algorithms for optimized control of industrial energy supply systems


maximal update parametrization (µP)

Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Feature Learning in Infinite-Width Neural Networks

Feature-Learning Networks Are Consistent Across Widths At Realistic Scales

u-μP: The Unit-Scaled Maximal Update Parametrization

Principled Architecture-aware Scaling of Hyperparameters


A state-of-the-art semi-supervised method for image recognition

Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Label Propagation for Deep Semi-supervised Learning

SELF: Learning to Filter Noisy Labels with Self-Ensembling

There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average

A Survey of Deep Learning for Scientific Discovery

Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation

What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels

LaserMix for Semi-Supervised LiDAR Semantic Segmentation

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Semi-Supervised Learning with Scarce Annotations


A relation-aware semantic parsing model from English to SQL

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

Structure-Grounded Pretraining for Text-to-SQL

North American Chapter of the Association for Computational Linguistics

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

KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers

Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing

SPARQLing Database Queries from Intermediate Question Decompositions

FastRAT: Fast and Efficient Cross-lingual Text-to-SQL Semantic Parsing

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

SeSQL: Yet Another Large-scale Session-level Chinese Text-to-SQL Dataset


Html Content / Article Extractor, web scrapping lib in Python

Sampling the News Producers: A Large News and Feature Data Set for the Study of the Complex Media Landscape

NELA-GT-2020: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles

Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks

Real-Time Web Scale Event Summarization Using Sequential Decision Making

NELA-GT-2022: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles

Creating a Real-Time, Reproducible Event Dataset

Finding Authentic Counterhate Arguments: A Case Study with Public Figures

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


PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

A Survey of Deep Learning for Scientific Discovery

Self-training for Few-shot Transfer Across Extreme Task Differences

Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE

Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization

A Global Model Approach to Robust Few-Shot SAR Automatic Target Recognition

Joint Embedding Predictive Architectures Focus on Slow Features

Improving Medical Image Classification in Noisy Labels Using Only Self-supervised Pretraining

Unraveling Projection Heads in Contrastive Learning: Insights from Expansion and Shrinkage

Histopathologic image–based deep learning classifier for predicting platinum-based treatment responses in high-grade serous ovarian cancer


Inferring, interpreting and visualising trajectories using a streamlined set of packages

Stearoyl-CoA Desaturase inhibition reverses immune, synaptic and cognitive impairments in an Alzheimer’s disease mouse model

The heterogeneity of mammalian utricular cells over the course of development

Systematic Single Cell Rna Sequencing Analysis Reveals Unique Transcriptional Regulatory Networks of Atoh1-Mediated Hair Cell Conversion in Adult Mouse Cochleae


Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data

Targeted Minimum Loss Based Estimation of Causal Effects of Multiple Time Point Interventions

The international journal of biostatistics

Targeted Learning with Daily EHR Data

Super learning to hedge against incorrect inference from arbitrary parametric assumptions in marginal structural modeling

Risk of complete atypical femur fracture with Oral bisphosphonate exposure beyond three years

Evaluation of adaptive treatment strategies in an observational study where time-varying covariates are not monitored systematically

Application of targeted maximum likelihood estimation in public health and epidemiological studies: a systematic review


This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

Medical Image Segmentation Using Squeeze-and-Expansion Transformers

Self Pre-Training with Masked Autoencoders for Medical Image Classification and Segmentation

Evaluating transformer-based semantic segmentation networks for pathological image segmentation

3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers

TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers

Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts

Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation

UCM-Net: A Lightweight and Efficient Solution for Skin Lesion Segmentation using MLP and CNN

Token Sparsification for Faster Medical Image Segmentation


LEGACY - Graphical interface for spike sorting manual stage in Python

Hardware-accelerated interactive data visualization for neuroscience in Python

Multichannel Silicon Probes for Awake Hippocampal Recordings in Large Animals

State-dependent geometry of population activity in rat auditory cortex

Traumatic Brain Injury Preserves Firing Rates But Disrupts Laminar Oscillatory Coupling and Neuronal Entrainment in Hippocampal CA1

Coding of self-motion-induced and self-independent visual motion in the rat dorsomedial striatum

Hippocampal Interneuronal Dysfunction and Hyperexcitability in a Porcine Model of Concussion


CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

Fine-tuning CNN Image Retrieval with No Human Annotation

CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples

Training Vision Transformers for Image Retrieval

Deep Learning for Instance Retrieval: A Survey

SOLAR: Second-Order Loss and Attention for Image Retrieval

Learning and aggregating deep local descriptors for instance-level recognition

OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features

Progressive Local Filter Pruning for Image Retrieval Acceleration

Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective

Asymmetric metric learning for knowledge transfer


Training framework for conditional imitation learning

Exploring the Limitations of Behavior Cloning for Autonomous Driving

On Offline Evaluation of Vision-based Driving Models

Label Efficient Visual Abstractions for Autonomous Driving

A Survey on Causal Reinforcement Learning


LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

BALM: Bundle Adjustment for Lidar Mapping

Robust Odometry and Mapping for Multi-LiDAR Systems With Online Extrinsic Calibration

Autonomous Exploration Development Environment and the Planning Algorithms

P3-LOAM: PPP/LiDAR Loosely Coupled SLAM with Accurate Covariance Estimation and Robust RAIM in Urban Canyon Environment

Multi-Modal Lidar Dataset for Benchmarking General-Purpose Localization and Mapping Algorithms

Robust Multi-Modal Multi-LiDAR-Inertial Odometry and Mapping for Indoor Environments


Tombo is a suite of tools primarily for the identification of modified nucleotides from raw nanopore sequencing data.

Sequencing DNA with nanopores: Troubles and biases

Nanopore sequencing and its application to the study of microbial communities

Computational and structural biotechnology journal

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

Whole-genome sequencing with long reads reveals complex structure and origin of structural variation in human genetic variations and somatic mutations in cancer

MasterOfPores: A Workflow for the Analysis of Oxford Nanopore Direct RNA Sequencing Datasets

Long-read sequencing in human genetics

The gap-free genome of mulberry elucidates the architecture and evolution of polycentric chromosomes

Prediction of m6A and m5C at single-molecule resolution reveals a transcriptome-wide co-occurrence of RNA modifications

Basecalling Using Joint Raw and Event Nanopore Data Sequence-to-Sequence Processing

Full-Length Transcriptome of the Whale Shark (Rhincodon typus) Facilitates the Genome Information


Chinese and English multimodal conversational language model | 多模态中英双语对话语言模型

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

GLM: General Language Model Pretraining with Autoregressive Blank Infilling

CogView: Mastering Text-to-Image Generation via Transformers

TheoremQA: A Theorem-driven Question Answering dataset

Evaluating Large Language Models for Radiology Natural Language Processing

TransGPT: Multi-modal Generative Pre-trained Transformer for
  Transportation


ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

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

DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping

Masked Language Model Scoring

Meeting of the Association for Computational Linguistics

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

Retrospective Reader for Machine Reading Comprehension

BioELECTRA:Pretrained Biomedical text Encoder using Discriminators

Workshop on Biomedical Natural Language Processing

Pre-Training Transformers as Energy-Based Cloze Models

Lightweight URL-based phishing detection using natural language processing transformers for mobile devices


DeepPose implementation in Chainer

DeepPose: Human Pose Estimation via Deep Neural Networks

Shuffle and Learn: Unsupervised Learning using Temporal Order Verification

Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review

Unsupervised Learning using Sequential Verification for Action Recognition.

Toward Modeling Psychomotor Performance in Karate Combats Using Computer Vision Pose Estimation


package for converting dicom files to nifti

nnU-Net Deep Learning Method for Segmenting Parenchyma and Determining Liver Volume From Computed Tomography Images

Annals of surgery open : perspectives of surgical history, education, and clinical approaches

Prediction of MGMT Methylation Status of Glioblastoma using Radiomics and Latent Space Shape Features

A vendor-agnostic, PACS integrated, and DICOM-compatible software-server pipeline for testing segmentation algorithms within the clinical radiology workflow

IP-UNet: Intensity Projection UNet Architecture for 3D Medical Volume Segmentation

Preparing computed tomography images for machine learning in forensic and virtual anthropology


AmpliconArchitect (AA) is a tool to identify one or more connected genomic regions which have simultaneous copy number amplification and elucidates the architecture of the amplicon.   In the current version, AA takes as input next generation sequencing reads (paired-end Illumina reads) mapped to the hg19/GRCh37 reference sequence and one or more regions of interest. Please "watch" this repository for improvements in runtime, accuracy and annotations for GRCh38 human reference genome coming up soon.

Extrachromosomal DNA is associated with oncogene amplification and poor outcome across multiple cancers

Discordant inheritance of chromosomal and extrachromosomal DNA elements contributes to dynamic disease evolution in glioblastoma

The landscape of extrachromosomal circular DNA in medulloblastoma

Innovative insights into extrachromosomal circular DNAs in gynecologic tumors and reproduction


Tools for accessing the Botanical Information and Ecology Network (BIEN) database


The QUB Transient Classifier

RAPID: Early Classification of Explosive Transients Using Deep Learning

Publications of the Astronomical Society of the Pacific

Machine-learning-based Brokers for Real-time Classification of the LSST Alert Stream

The Astrophysical Journal Supplement Series

The Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae

Star formation and morphological properties of galaxies in the
  Pan-STARRS 3 π survey- I. A machine learning approach to galaxy and
  supernova classification

Metallicity beats sSFR: the connection between superluminous supernova host galaxy environments and the importance of metallicity for their production

The fast transient AT 2023clx in the nearby LINER galaxy NGC 3799 as a tidal disruption of a very low-mass star


Fast, integrative fine mapping with functional data

Multiomic analysis reveals cell-type-specific molecular determinants of COVID-19 severity

ABO O blood group as a risk factor for platelet reactivity in heparin-induced thrombocytopenia

3D genome organization links non-coding disease-associated variants to genes

Frontiers in cell and developmental biology

Diverse ancestry whole-genome sequencing association study identifies TBX5 and PTK7 as susceptibility genes for posterior urethral valves

Multi-ancestry genetic analysis of gene regulation in coronary arteries prioritizes disease risk loci

Genome-wide determinants of mortality and motor progression in Parkinson’s disease

A genome-wide association study of bronchodilator response in participants of European and African ancestry from six independent cohorts


Code for the ProteinMPNN paper

Robust deep learning based protein sequence design using ProteinMPNN

Structure-informed Language Models Are Protein Designers

Unlocking Guidance for Discrete State-Space Diffusion and Flow Models

Computational design of soluble and functional membrane protein analogues


【EMNLP 2024】Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment

IEEE transactions on pattern analysis and machine intelligence

AffectGPT: Dataset and Framework for Explainable Multimodal Emotion
  Recognition


A large-scale face dataset for face parsing, recognition, generation and editing.

MaskGAN: Towards Diverse and Interactive Facial Image Manipulation

EditGAN: High-Precision Semantic Image Editing

General Facial Representation Learning in a Visual-Linguistic Manner

Toward Realistic Face Photo–Sketch Synthesis via Composition-Aided GANs

E2Style: Improve the Efficiency and Effectiveness of StyleGAN Inversion

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

PAIR-Diffusion: A Comprehensive Multimodal Object-Level Image Editor

Linear Semantics in Generative Adversarial Networks

Towards Realistic Face Photo-Sketch Synthesis via Composition-Aided GANs

Neural Optimal Transport with General Cost Functionals

ContexedNet: Context–Aware Ear Detection in Unconstrained Settings


A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression

Object Detection in Remote Sensing Images Based on Improved Bounding Box Regression and Multi-Level Features Fusion

Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints

Panoramic Robust PCA for Foreground-Background Separation on Noisy, Free-Motion Camera Video

Reduced Focal Loss: 1st Place Solution to xView object detection in Satellite Imagery

Context-Aware Zero-Shot Recognition


Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation

Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation

Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-Based Perception

LaserMix for Semi-Supervised LiDAR Semantic Segmentation

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds

LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation


Fast BPE

Neural Machine Translation of Rare Words with Subword Units

Cross-lingual Language Model Pretraining

CTRL: A Conditional Transformer Language Model for Controllable Generation

BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining

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

Proceedings of the 2nd Workshop on New Frontiers in Summarization

FlauBERT: Unsupervised Language Model Pre-training for French

Unsupervised Translation of Programming Languages

Transformers without Tears: Improving the Normalization of Self-Attention

Large Memory Layers with Product Keys

GottBERT: a pure German Language Model


Neural Surface reconstruction based on Instant-NGP. Efficient and customizable boilerplate for your research projects. Train NeuS in 10min!

Wonder3D: Single Image to 3D using Cross-Domain Diffusion

MVDiffusion++: A Dense High-resolution Multi-view Diffusion Model for
  Single or Sparse-view 3D Object Reconstruction

GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence

GSDF: 3DGS Meets SDF for Improved Rendering and Reconstruction

EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion

OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects

NeuManifold: Neural Watertight Manifold Reconstruction with Efficient and High-Quality Rendering Support

SparseCraft: Few-Shot Neural Reconstruction through Stereopsis Guided
  Geometric Linearization

Enhancing Neural Rendering Methods with Image Augmentations

Hi3D: Pursuing High-Resolution Image-to-3D Generation with Video Diffusion Models


Repo for BenTsao [original name: HuaTuo (华驼)], Instruction-tuning Large Language Models with Chinese Medical Knowledge. 本草（原名：华驼）模型仓库，基于中文医学知识的大语言模型指令微调

HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge

HuatuoGPT, towards Taming Language Model to Be a Doctor

Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese

MedChatZH: a Better Medical Adviser Learns from Better Instructions

Large Language Models for Medicine: A Survey

Don't Ignore Dual Logic Ability of LLMs while Privatizing: A Data-Intensive Analysis in Medical Domain


SeqMonk NGS visualisation and analysis tool

Infections of the Xylella fastidiosa subsp. pauca Strain “De Donno” in Alfalfa (Medicago sativa) Elicits an Overactive Immune Response

Zenodo (CERN European Organization for Nuclear Research)

Transcriptomic Response of In Vitro Potato (Solanum tuberosum L.) to Piezoelectric Ultrasound

Impact of the White Collar Photoreceptor WcoA on the Fusarium fujikuroi Transcriptome

The carP lncRNA Is a carS-Related Regulatory Element with Broad Effects on the Fusarium fujikuroi Transcriptome


DeepCS: Deep Code Search

Opportunities and Challenges in Code Search Tools

On the Replicability and Reproducibility of Deep Learning in Software Engineering

deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search

CodeMatcher: Searching Code Based on Sequential Semantics of Important Query Words

ACM Transactions on Software Engineering and Methodology

CSRS: Code Search with Relevance Matching and Semantic Matching

Simplifying Deep-Learning-Based Model for Code Search.

Revisiting Code Search in a Two-Stage Paradigm

Code Search Debiasing:Improve Search Results beyond Overall Ranking Performance


Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

On the Opportunities and Risks of Foundation Models

Null-text Inversion for Editing Real Images using Guided Diffusion Models

Wav2CLIP: Learning Robust Audio Representations From CLIP

CLIPstyler: Image Style Transfer with a Single Text Condition

Diffusion-based Image Translation using Disentangled Style and Content Representation

FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization

Visualize Before You Write: Imagination-Guided Open-Ended Text Generation

PromptCharm: Text-to-Image Generation through Multi-modal Prompting and Refinement

Proceedings of the CHI Conference on Human Factors in Computing Systems

ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation

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


Extract Keywords from sentence or Replace keywords in sentences.

Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linking

Conference on Computational Natural Language Learning

Replace or Retrieve Keywords In Documents at Scale

A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction


Fast Whole-Genome Similarity (ANI) Estimation

High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries

The antiSMASH database version 2: a comprehensive resource on secondary metabolite biosynthetic gene clusters

Gemmatimonas groenlandica sp. nov. Is an Aerobic Anoxygenic Phototroph in the Phylum Gemmatimonadetes

Functional and phylogenetic analyses of camel rumen microbiota associated with different lignocellulosic substrates

Aerobic Denitrification and Heterotrophic Sulfur Oxidation in the Genus Halomonas Revealed by Six Novel Species Characterizations and Genome-Based Analysis

Unravelling the diversity of magnetotactic bacteria through analysis of open genomic databases

Molecular Epidemiology and Clone Transmission of Carbapenem-Resistant Acinetobacter baumannii in ICU Rooms

Prevalence and Distribution Characteristics of blaKPC-2 and blaNDM-1 Genes in Klebsiella pneumoniae

Maintenance of Sympatric and Allopatric Populations in Free-Living Terrestrial Bacteria

Legionella Diversity and Spatiotemporal Variation in the Occurrence of Opportunistic Pathogens within a Large Building Water System


RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

GLU Variants Improve Transformer

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

RWKV: Reinventing RNNs for the Transformer Era

Hyena Hierarchy: Towards Larger Convolutional Language Models

xLSTM: Extended Long Short-Term Memory

Zoology: Measuring and Improving Recall in Efficient Language Models

Simple linear attention language models balance the recall-throughput tradeoff

Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence

SelfEvolve: A Code Evolution Framework via Large Language Models

RRAML: Reinforced Retrieval Augmented Machine Learning


Universal Dependencies online documentation

Resources for Turkish Dependency Parsing: Introducing the BOUN Treebank and the BoAT Annotation Tool

Treebanking user-generated content: a UD based overview of guidelines, corpora and unified recommendations

A Structured Syntax-Semantics Interface for English-AMR Alignment

North American Chapter of the Association for Computational Linguistics

Unifying the Treatment of Preposition-Determiner Contractions in German Universal Dependencies Treebanks

Overcoming the challenges in morphological annotation of Turkish in universal dependencies framework

Proceedings of The Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop

A Universal Dependencies Treebank of Ancient Hebrew

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

UD on Software Requirements: Application and Challenges

Validation of Universal Dependencies by regeneration

First Steps towards Universal Dependencies for Laz

For the Purpose of Curry: A UD Treebank for Ashokan Prakrit


Securify v2.0

Smart Contract Vulnerability Detection Technique: A Survey

Turn the Rudder: A Beacon of Reentrancy Detection for Smart Contracts on Ethereum

Gas Gauge: A Security Analysis Tool for Smart Contract Out-of-Gas Vulnerabilities

DAppSCAN: Building Large-Scale Datasets for Smart Contract Weaknesses in DApp Projects

Combatting Front-Running in Smart Contracts: Attack Mining, Benchmark Construction and Vulnerability Detector Evaluation

TokenHook: Secure ERC-20 smart contract

Definition and Detection of Defects in NFT Smart Contracts

OpenSCV: An Open Hierarchical Taxonomy for Smart Contract Vulnerabilities

A Mapping Review on Cyber-Physical Smart Contracts: Architectures, Platforms, and Challenges

Uncover the Premeditated Attacks: Detecting Exploitable Reentrancy
  Vulnerabilities by Identifying Attacker Contracts


Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation

Mask2Former for Video Instance Segmentation

A General-Purpose Self-Supervised Model for Computational Pathology

Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning

SIM: Semantic-aware Instance Mask Generation for Box-Supervised Instance Segmentation

SAPA: Similarity-Aware Point Affiliation for Feature Upsampling

Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns

RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation

Pixel-Wise Recognition for Holistic Surgical Scene Understanding


Resources and tools for Indian language Natural Language Processing

No Language Left Behind: Scaling Human-Centered Machine Translation

Beyond English-Centric Multilingual Machine Translation

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

Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages

Survey of Low-Resource Machine Translation

Data Diversification: A Simple Strategy For Neural Machine Translation

IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages

Online Multilingual Hate Speech Detection: Experimenting with Hindi and English Social Media

IndicBART: A Pre-trained Model for Indic Natural Language Generation

Findings of the Association for Computational Linguistics: ACL 2022

A Diverse Data Augmentation Strategy for Low-Resource Neural Machine Translation


Automated de novo assembly of whole chloroplast genomes.

GetOrganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes

Chloroplot: An Online Program for the Versatile Plotting of Organelle Genomes

Practical considerations for plant phylogenomics

Disentangling Sources of Gene Tree Discordance in Phylogenomic Data Sets: Testing Ancient Hybridizations in Amaranthaceae s.l

Resolving the backbone of the Brassicaceae phylogeny for investigating trait diversity.

Phylogenomic Relationships of Diploids and the Origins of Allotetraploids in Dactylorhiza (Orchidaceae)

A systematic comparison of chloroplast genome assembly tools

Phylogenomic discordance suggests polytomies along the backbone of the large genus Solanum

Molecular phylogenomics of the tribe Shoreeae (Dipterocarpaceae) using whole plastid genomes

Plastome Rearrangements in the “Adenocalymma-Neojobertia” Clade (Bignonieae, Bignoniaceae) and Its Phylogenetic Implications


Circular and Rectangular Manhattan Plot

The origin of domestication genes in goats

The Trans-omics Landscape of COVID-19

Improved pea reference genome and pan-genome highlight genomic features and evolutionary characteristics

Genome-wide association study for salinity tolerance at the flowering stage in a panel of rice accessions from Thailand

A Gene-Set Enrichment and Protein–Protein Interaction Network-Based GWAS with Regulatory SNPs Identifies Candidate Genes and Pathways Associated with Carcass Traits in Hanwoo Cattle

Genome-Wide Association Studies in Diverse Spring Wheat Panel for Stripe, Stem, and Leaf Rust Resistance

BnaMPK3 Is a Key Regulator of Defense Responses to the Devastating Plant Pathogen Sclerotinia sclerotiorum in Oilseed Rape

Genetic diversity analysis of a Flax (Linum usitatissimum L.) global collection

Genome-wide association study in accessions of the mini-core collection of mungbean (Vigna radiata) from the World Vegetable Gene Bank (Taiwan)

Improving Genomic Selection With Quantitative Trait Loci and Nonadditive Effects Revealed by Empirical Evidence in Maize


Simulation and analysis framework for the Imaging X-ray Polarimetry Explorer

Discovery of strongly variable X-ray polarization in the neutron star low-mass X-ray binary transient XTE J1701−462

X-ray pulsar GRO J1008-57 as an orthogonal rotator

A Strong X-Ray Polarization Signal from the Magnetar 1RXS J170849.0-400910

Complex variations in X-ray polarization in the X-ray pulsar LS V +44 17/RX J0440.9+4431

Observations of 4U 1626–67 with the Imaging X-Ray Polarimetry Explorer

A polarimetrically oriented X-ray stare at the accreting pulsar EXO 2030+375

X-ray polarimetry of X-ray pulsar X Persei: another orthogonal rotator?

IXPE and XMM-Newton Observations of the Soft Gamma Repeater SGR 1806–20

X-ray polarimetry as a tool to measure the black hole spin in microquasars: simulations of IXPE capabilities

Monthly notices of the Royal Astronomical Society

Discovery of a variable energy-dependent X-ray polarization in the accreting neutron star GX 5-1


PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation

Ego-Pose Estimation and Forecasting as Real-Time PD Control

A Fusion Approach for Multi-Frame Optical Flow Estimation

360° Optical Flow using Tangent Images

Scene Motion Decomposition for Learnable Visual Odometry

Training Deep SLAM on Single Frames

Unified Simulation, Perception, and Generation of Human Behavior


Extract catalogs of sources from astronomical images

A Tidal Disruption Event Candidate Discovered in the Active Galactic Nucleus SDSS J022700.77-042020.6

The Gravity Collective: A Search for the Electromagnetic Counterpart to the Neutron Star–Black Hole Merger GW190814

ShapePipe: A new shape measurement pipeline and weak-lensing application to UNIONS/CFIS data

High Confidence Optical Confirmations Among the High Signal-to-Noise Planck Cluster Candidates

Weak-lensing detection of intracluster filaments in the Coma cluster

Weak-lensing Analysis of the Complex Cluster Merger A746 with Subaru/Hyper Suprime-Cam

A synthetic Roman Space Telescope High-Latitude Time-Domain Survey: supernovae in the deep field

Primordial Rotating Disk Composed of ≥15 Dense Star-Forming Clumps at Cosmic Dawn

FAST-ASKAP Synergy: Quantifying Coexistent Tidal and Ram Pressure Strippings in the NGC 4636 Group

Morphology of Galaxies in JWST Fields: Initial Distribution and Evolution of Galaxy Morphology


PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition

Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation

Source Separation with Weakly Labelled Data: an Approach to Computational Auditory Scene Analysis

FunAudioLLM: Voice Understanding and Generation Foundation Models for
  Natural Interaction Between Humans and LLMs

Automated Face-To-Face Conversation Detection on a Commodity Smartwatch with Acoustic Sensing

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

The Birds Need Attention Too: Analysing usage of Self Attention in identifying bird calls in soundscapes


[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

Efficient Video Action Detection with Token Dropout and Context Refinement

Efficient Video Representation Learning via Motion-Aware Token Selection

CAST: Cross-Attention in Space and Time for Video Action Recognition

VideoEval: Comprehensive Benchmark Suite for Low-Cost Evaluation of
  Video Foundation Model


Transit Least Squares: An optimized transit-fitting algorithm to search for periodic transits of small planets

Optimized transit detection algorithm to search for periodic transits of small planets

A PSF-based Approach to TESS High quality data Of Stellar clusters
  (PATHOS) -- II. Search for exoplanets in open clusters of the southern
  ecliptic hemisphere and their frequency

Monthly Notices of the Royal Astronomical Society

Discovery of a hot, transiting, Earth-sized planet and a second temperate, non-transiting planet around the M4 dwarf GJ 3473 (TOI-488)

Decoding the radial velocity variations of HD 41248 with ESPRESSO

Transit least-squares survey

TOI-1201 b: A mini-Neptune transiting a bright and moderately young M dwarf

A PSF-based Approach to TESS High quality data Of Stellar clusters (PATHOS) - III. Exploring the properties of young associations through their variables, dippers, and candidate exoplanets

A PSF-based Approach to TESS High quality data Of Stellar clusters (PATHOS) - IV. Candidate exoplanets around stars in open clusters: frequency and age-planetary radius distribution

The CARMENES search for exoplanets around M dwarfs

HD207897 b: A dense sub-Neptune transiting a nearby and bright K-type star


Nonlinear optical pulse propagator

Spectroscopic application of few-femtosecond deep-ultraviolet laser pulses from resonant dispersive wave emission in a hollow capillary fibre

Soliton self-compression and resonant dispersive wave emission in higher-order modes of a hollow capillary fibre

Efficient and compact source of tuneable ultrafast deep ultraviolet laser pulses at 50 kHz repetition rate

Optical solitons in hollow-core fibres

Effect of rotational Raman response on ultra-flat supercontinuum generation in gas-filled hollow-core photonic crystal fibers.

HISOL: High-energy soliton dynamics enable ultrafast far-ultraviolet laser sources

Effect of nonlinear lensing on the coupling of ultrafast laser pulses to hollow-core waveguides


Matching techniques for Observational Studies

Effect of Body Mass Index on Postoperative Nausea and Vomiting: Propensity Analysis

On the rise of fear speech in online social media

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

Genetic analysis of coronary artery disease using tree-based automated machine learning informed by biology-based feature selection

Bacterial Lipopolysaccharide as a Negative Predictor of Adjuvant Gemcitabine Efficacy in Pancreatic Cancer

Consideration of Migraines Among Risk Factors for Postoperative Nausea and Vomiting

Risk of Vestibulocochlear Disorders in Patients with Migraine or Non-Migraine Headache

dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference

Clinical Implications of the Association between Respiratory and Gastrointestinal Disorders in Migraine and Non-Migraine Headache Patients

TPX2 expression as a negative predictor of gemcitabine efficacy in pancreatic cancer

Interdisciplinary researchers attain better performance in funding


Atomistic Line Graph Neural Network https://scholar.google.com/citations?user=9Q-tNnwAAAAJ&hl=en    https://www.youtube.com/watch?v=WYePjZMzx3M

Recent advances and applications of deep learning methods in materials science

Atomistic Line Graph Neural Network for improved materials property predictions

Designing high-TC superconductors with BCS-inspired screening, density functional theory, and deep-learning

Graph Neural Network Predictions of Metal Organic Framework CO2 Adsorption Properties

Unified graph neural network force-field for the periodic table: solid state applications

LLM-Prop: Predicting Physical And Electronic Properties Of Crystalline Solids From Their Text Descriptions

Examining graph neural networks for crystal structures: limitations and opportunities for capturing periodicity

Recent progress in the JARVIS infrastructure for next-generation data-driven materials design

Systematic assessment of various universal machine-learning interatomic
  potentials

DeepCrysTet: A Deep Learning Approach Using Tetrahedral Mesh for Predicting Properties of Crystalline Materials


A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

Generative Models from the perspective of Continual Learning

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

Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis

MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators

Amortised Learning by Wake-Sleep

Robust Estimation under the Wasserstein Distance

IE-GAN: An Improved Evolutionary Generative Adversarial Network Using a New Fitness Function and a Generic Crossover Operator

Updating the generator in PPGN-h with gradients flowing through the encoder