docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

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

LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation

Visual Communications and Image Processing

Real-time Scene Text Detection with Differentiable Binarization

Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition

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

DocILE Benchmark for Document Information Localization and Extraction

Text Detection Forgot About Document OCR

Handwriting Declines With Human Aging: A Machine Learning Study

TorchBench: Benchmarking PyTorch with High API Surface Coverage

Language Independent Neuro-Symbolic Semantic Parsing for Form Understanding


Extremely fast non-cryptographic hash algorithm

Wormhole: A Fast Ordered Index for In-memory Data Management

SPAA '10: PROCEEDINGS OF THE TWENTY-SECOND ANNUAL SYMPOSIUM ON PARALLELISM IN ALGORITHMS AND ARCHITECTURES

Data Poisoning Attacks to Local Differential Privacy Protocols

COBS: a Compact Bit-Sliced Signature Index

Dynamic Feature Induction: The Last Gist to the State-of-the-Art

North American Chapter of the Association for Computational Linguistics

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

BagMinHash - Minwise Hashing Algorithm for Weighted Sets

Hash Adaptive Bloom Filter

Peeling Close to the Orientability Threshold: Spatial Coupling in Hashing-Based Data Structures

uBFT: Microsecond-Scale BFT using Disaggregated Memory

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2

copMEM: Finding maximal exact matches via sampling both genomes


Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.

PaLM: Scaling Language Modeling with Pathways

PaLM 2 Technical Report

Efficient Large Language Models: A Survey

VeLO: Training Versatile Learned Optimizers by Scaling Up

Model Compression and Efficient Inference for Large Language Models: A
  Survey

Pretraining Data Mixtures Enable Narrow Model Selection Capabilities in Transformer Models

Instruct-Imagen: Image Generation with Multi-modal Instruction

There's no Data Like Better Data: Using QE Metrics for MT Data Filtering

CoBIT: A Contrastive Bi-directional Image-Text Generation Model

A Survey of Time Series Foundation Models: Generalizing Time Series
  Representation with Large Language Model


TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

A decoder-only foundation model for time-series forecasting

A Survey on Time-Series Pre-Trained Models

ProbTS: A Unified Toolkit to Probe Deep Time-series Forecasting

ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning


Your image is almost there!

LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models

Ranni: Taming Text-to-Image Diffusion for Accurate Instruction Following

Self-correcting LLM-controlled Diffusion Models


Implementation of some deep learning algorithms.

Deep learning for neuroimaging: a validation study

A deep learning framework for modeling structural features of RNA-binding protein targets

CCL: Cross-modal Correlation Learning With Multigrained Fusion by Hierarchical Network

A General Framework for Constrained Bayesian Optimization using Information-based Search

Predictive Entropy Search for Bayesian Optimization with Unknown Constraints

Input Warping for Bayesian Optimization of Non-stationary Functions

Raiders of the Lost Architecture: Kernels for Bayesian Optimization in Conditional Parameter Spaces

Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation

Hierarchical Spatio-Temporal Modeling of Naturalistic Functional Magnetic Resonance Imaging Signals via Two-Stage Deep Belief Network With Neural Architecture Search


hping network tool

An Investigation into the Application of Deep Learning in the Detection and Mitigation of DDOS Attack on SDN Controllers

Artificial Immune Systems and Fuzzy Logic to Detect Flooding Attacks in Software-Defined Networks

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

Two-Stage Intelligent Model for Detecting Malicious DDoS Behavior

Gotham Testbed: A Reproducible IoT Testbed for Security Experiments and Dataset Generation

Trusted Multi-Domain DDoS Detection Based on Federated Learning

Down the Rabbit Hole: Fostering Active Learning through Guided Exploration of a SCADA Cyber Range

IoT Multi-Vector Cyberattack Detection Based on Machine Learning Algorithms: Traffic Features Analysis, Experiments, and Efficiency


A neural network model for Chinese named entity recognition

Neural Architectures for Named Entity Recognition

CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese

Cross-Lingual Named Entity Recognition Using Parallel Corpus: A New Approach Using XLM-RoBERTa Alignment

The Named Entity Recognition of Chinese Cybersecurity Using an Active Learning Strategy

Wireless Communications and Mobile Computing

HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions

Statistical Dataset Evaluation: Reliability, Difficulty, and Validity


[ICCV 2023] Official implementation of the paper: "DIRE for Diffusion-Generated Image Detection"

AEROBLADE: Training-Free Detection of Latent Diffusion Images Using
  Autoencoder Reconstruction Error

RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection


Point cloud diffusion for 3D model synthesis

Zero-1-to-3: Zero-shot One Image to 3D Object

Point-E: A System for Generating 3D Point Clouds from Complex Prompts

3DGen: Triplane Latent Diffusion for Textured Mesh Generation

Consistent-1-to-3: Consistent Image to 3D View Synthesis via Geometry-aware Diffusion Models

3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors

iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis

MicroDreamer: Efficient 3D Generation in ∼20 Seconds by Score-based Iterative Reconstruction


CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

Learning Spatial Awareness to Improve Crowd Counting

C^3 Framework: An Open-source PyTorch Code for Crowd Counting

Coarse- and Fine-grained Attention Network with Background-aware Loss for Crowd Density Map Estimation

Critical Aspects of Person Counting and Density Estimation


Development version of Easyfig

Microbial Characteristics and Genomic Analysis of an ST11 Carbapenem-Resistant Klebsiella pneumoniae Strain Carrying blaKPC−2 Conjugative Drug-Resistant Plasmid

Emergence of a Carbapenem-Resistant Klebsiella pneumoniae Isolate Co-harbouring Dual blaNDM– 6-Carrying Plasmids in China

Interaction of multidrug-resistant hypervirulent Klebsiella pneumoniae with components of human innate host defense

Genomic and Phenotypic Analysis of Salmonella enterica Bacteriophages Identifies Two Novel Phage Species

GenoFig: a user-friendly application for the visualization and comparison of genomic regions

Molecular characterization of hybrid virulence plasmids in ST11-KL64 KPC-2-producing multidrug-resistant hypervirulent Klebsiella pneumoniae from China


a signal-level demultiplexer for Oxford Nanopore reads

Deepbinner: Demultiplexing barcoded Oxford Nanopore reads with deep convolutional neural networks

Molecular barcoding of native RNAs using nanopore sequencing and deep learning

Third generation sequencing revises the molecular karyotype for Toxoplasma gondii and identifies emerging copy number variants in sexual recombinants

Horizontal Gene Transfer and Fusion Spread Carotenogenesis Among Diverse Heterotrophic Protists

Do You Want to Build a Genome? Benchmarking Hybrid Bacterial Genome Assembly Methods


Reference implementation for DPO (Direct Preference Optimization)

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

A General Theoretical Paradigm to Understand Learning from Human Preferences

Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints

Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms

Can AI Assistants Know What They Don't Know?


Kindling the Darkness: A Practical Low-light Image Enhancer

Beyond Brightening Low-light Images

International Journal of Computer Vision

Low-Light Image and Video Enhancement Using Deep Learning: A Survey

Zero-Shot Restoration of Back-lit Images Using Deep Internal Learning

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

Progressive Retinex: Mutually Reinforced Illumination-Noise Perception Network for Low Light Image Enhancement

Integrating Semantic Segmentation and Retinex Model for Low-Light Image Enhancement

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

Fast Enhancement for Non-Uniform Illumination Images using Light-weight CNNs

Low Light Video Enhancement using Synthetic Data Produced with an Intermediate Domain Mapping


implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

Deep Learning YOLO-Based Solution for Grape Bunch Detection and Assessment of Biophysical Lesions

YOLOR-Based Multi-Task Learning

2nd Place Solution for Waymo Open Dataset Challenge - Real-time 2D Object Detection

Perceptual Pat: A Virtual Human Visual System for Iterative Visualization Design

Agricultural Object Detection with You Look Only Once (YOLO) Algorithm: A Bibliometric and Systematic Literature Review


Named Entity Recognition as Dependency Parsing

A Unified Generative Framework for Various NER Subtasks

A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends

Rethinking Negative Sampling for Handling Missing Entity Annotations

Segmenting Natural Language Sentences via Lexical Unit Analysis

Priberam Labs at the 3rd Shared Task on SlavNER

Workshop on Balto-Slavic Natural Language Processing


Modern HTTP benchmarking tool

A Fog Computing Based Cyber-Physical System for the Automation of Pipe-Related Tasks in the Industry 4.0 Shipyard

Understanding Open Source Serverless Platforms: Design Considerations and Performance

PACStack: an Authenticated Call Stack

Metaviz: interactive statistical and visual analysis of metagenomic data

An optimizing compiler for a purely functional web-application language

PROCEEDINGS OF THE 20TH ACM SIGPLAN INTERNATIONAL CONFERENCE ON FUNCTIONAL PROGRAMMING (ICFP'15)

Methodologies for Quantifying (Re-)randomization Security and Timing under JIT-ROP

Analyzing Open-Source Serverless Platforms: Characteristics and Performance

Software Engineering and Knowledge Engineering

Tightly Seal Your Sensitive Pointers with PACTight

FineIBT: Fine-grain Control-flow Enforcement with Indirect Branch Tracking

Dissecting Service Mesh Overheads


RNN based Time-series Anomaly detector model implemented in Pytorch.

Deep Learning for Anomaly Detection: A Survey

LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection

A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-based Variational Autoencoder

Combining OC-SVMs With LSTM for Detecting Anomalies in Telemetry Data With Irregular Intervals

Neuroscience-Inspired Algorithms for the Predictive Maintenance of Manufacturing Systems

IEEE Transactions on Industrial Informatics

ReX: A Framework for Incorporating Temporal Information in Model-Agnostic Local Explanation Techniques


BiLSTM-CNN-CRF architecture for sequence tagging

Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging

Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks

Fine-Grained Named Entity Recognition in Legal Documents

Why Comparing Single Performance Scores Does Not Allow to Draw Conclusions About Machine Learning Approaches

From POS tagging to dependency parsing for biomedical event extraction

Evaluating Pretrained Transformer-based Models on the Task of Fine-Grained Named Entity Recognition

International Conference on Computational Linguistics

Exploring Named Entity Recognition As an Auxiliary Task for Slot Filling in Conversational Language Understanding

Empirical Methods in Natural Language Processing

Language-Agnostic Syllabification with Neural Sequence Labeling

UNH at SemEval-2019 Task 12: Toponym Resolution in Scientific Papers

Multi-Task Learning for Argumentation Mining


CNNs for sentence classification

A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification

Refining Word Embeddings for Sentiment Analysis

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing

Word Embeddings and Their Use In Sentence Classification Tasks

An Attention-Gated Convolutional Neural Network for Sentence Classification

Dynamic Self-Attention : Computing Attention over Words Dynamically for Sentence Embedding

Scaling up data curation using deep learning: An application to literature triage in genomic variation resources

On the Downstream Performance of Compressed Word Embeddings

Domain Adaptation for Resume Classification Using Convolutional Neural Networks


:fire::fire: Deep Learning Head Pose Estimation using PyTorch.

Fine-Grained Head Pose Estimation Without Keypoints

Towards Real-Time Head Pose Estimation: Exploring Parameter-Reduced Residual Networks on In-the-wild Datasets

Improving the Head Pose Variation Problem in Face Recognition for Mobile Robots

Computer Vision Tasks for Ambient Intelligence in Children's Health

State of the Art of Quality Assessment of Facial Images


Versatile End-to-End Recommender System

Inductive Representation Learning on Large Graphs

Neural Collaborative Filtering

Wide & Deep Learning for Recommender Systems

Graph Convolutional Neural Networks for Web-Scale Recommender Systems

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Deep Neural Networks for YouTube Recommendations

PROCEEDINGS OF THE 10TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'16)

Neural Graph Collaborative Filtering

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

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Session-based Recommendations with Recurrent Neural Networks

Deep Interest Network for Click-Through Rate Prediction


single cell Flux Estimation Analysis (scFEA) Try the below web server!

A graph neural network model to estimate cell-wise metabolic flux using single-cell RNA-seq data

Constraint-Based Reconstruction and Analyses of Metabolic Models: Open-Source Python Tools and Applications to Cancer

FLUXestimator: a webserver for predicting metabolic flux and variations using transcriptomics data

scFLUX: a web server for metabolic flux and variation prediction using transcriptomics data


Deep Contextual Video Compression

Temporal Context Mining for Learned Video Compression

Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compression

Proceedings of the 30th ACM International Conference on Multimedia

Neural Video Compression with Diverse Contexts

EVC: Towards Real-Time Neural Image Compression with Mask Decay

Neural Video Compression with Feature Modulation

The Bjøntegaard Bible Why Your Way of Comparing Video Codecs May Be Wrong

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

Boosting Neural Representations for Videos with a Conditional Decoder

Learned Wavelet Video Coding Using Motion Compensated Temporal Filtering

Neural Video Compression with Temporal Layer-Adaptive Hierarchical B-frame Coding

Bitstream Organization for Parallel Entropy Coding on Neural Network-based Video Codecs


PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

Masked Autoencoders Are Scalable Vision Learners

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

Label-Efficient Semantic Segmentation with Diffusion Models

Masked Autoencoders As Spatiotemporal Learners

MultiMAE: Multi-modal Multi-task Masked Autoencoders

Bridging the Gap to Real-World Object-Centric Learning

Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality

Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language

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

MILAN: Masked Image Pretraining on Language Assisted Representation


Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture

SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain

Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach

MCDAL: Maximum Classifier Discrepancy for Active Learning

Interpreting and Boosting Dropout from a Game-Theoretic View

Characterizing Datapoints via Second-Split Forgetting

Accordion: Adaptive Gradient Communication via Critical Learning Regime Identification

AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly

NTK-SAP: Improving neural network pruning by aligning training dynamics

Federated Asymptotics: a model to compare federated learning algorithms


A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.

Contrastive Triple Extraction with Generative Transformer


Nightly release of ControlNet 1.1

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting

DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations

InTeX: Interactive Text-to-texture Synthesis via Unified Depth-aware
  Inpainting

FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators


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

Two-Stream Convolutional Networks for Action Recognition in Videos

Multimodal Object Detection via Probabilistic Ensembling

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


Detect doublets in single-cell RNA-seq data

An atlas of healthy and injured cell states and niches in the human kidney

Embryo model completes gastrulation to neurulation and organogenesis

Resolving the immune landscape of human prostate at a single-cell level in health and cancer

A single-cell time-lapse of mouse prenatal development from gastrula to birth

Selective vulnerability of layer 5a corticostriatal neurons in Huntington’s disease

bioRxiv : the preprint server for biology

Drugs of abuse hijack a mesolimbic pathway that processes homeostatic need

Cell-cell interactome of the hematopoietic niche and its changes in acute myeloid leukemia

Practical bioinformatics pipelines for single-cell RNA-seq data analysis

Development and validation of a prognostic model and gene co-expression networks for breast carcinoma based on scRNA-seq and bulk-seq data

Dysregulation of CD4+ and CD8+ resident memory T, myeloid, and stromal cells in steroid-experienced, checkpoint inhibitor colitis.


DIRT: a fast differentiable renderer for TensorFlow

Learning single-image 3D reconstruction by generative modelling of shape, pose and shading

Leveraging 2D Data to Learn Textured 3D Mesh Generation

Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision


Missing Data Imputation for Python

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

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

Semi-supervised Learning with Missing Values Imputation

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


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

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

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

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

PLUMENet: Efficient 3D Object Detection from Stereo Images

Temporally Consistent Online Depth Estimation in Dynamic Scenes

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

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


Differentiable architecture search for convolutional and recurrent networks

DARTS: Differentiable Architecture Search

Random Search and Reproducibility for Neural Architecture Search

BRP-NAS: Prediction-based NAS using GCNs

NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search

ASAP: Architecture Search, Anneal and Prune

Search to aggregate neighborhood for graph neural network

Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?

Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels

TextNAS: A Neural Architecture Search Space tailored for Text Representation

Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning


Code, Dataset, and Pretrained Models for Audio and Speech Large Language Model "Listen, Think, and Understand".

Listen, Think, and Understand

Joint Audio and Speech Understanding

Large Language Models for Time Series: A Survey

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


Pipeline for processing inDrops sequencing data

Simultaneous single-cell profiling of lineages and cell types in the vertebrate brain

Population snapshots predict early haematopoietic and erythroid hierarchies

Single-cell lineage tracing unveils a role for TCF15 in haematopoiesis

Molecular and anatomical organization of the dorsal raphe nucleus

In vitro characterization of the human segmentation clock

Platforms for Single-Cell Collection and Analysis

International journal of molecular sciences

Cholinergic regulation of vascular endothelial function by human ChAT+ T cells

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

Systematic comparative analysis of single cell RNA-sequencing methods

Complex Autoinflammatory Syndrome Unveils Fundamental Principles of JAK1 Kinase Transcriptional and Biochemical Function

A scalable platform for the development of cell-type-specific viral drivers


Convolutional neural network model for video classification trained on the Kinetics dataset.

Going Deeper with Convolutions

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

The Kinetics Human Action Video Dataset

W-TALC: Weakly-supervised Temporal Activity Localization and Classification

RhythmNet: End-to-End Heart Rate Estimation From Face via Spatial-Temporal Representation

Models Genesis

StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

Weakly-Supervised Action Localization by Generative Attention Modeling

Weakly-supervised Action Localization with Background Modeling

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

International journal of computer assisted radiology and surgery


Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020.

3D Object Detection with a Self-supervised Lidar Scene Flow Backbone


Open source code for the paper of Neural Sparse Voxel Fields.

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Neural Sparse Voxel Fields

Point-Based Neural Rendering with Per-View Optimization

Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Control


RTAB‐Map as an open‐source lidar and visual simultaneous localization and mapping library for large‐scale and long‐term online operation

A portable three-dimensional LIDAR-based system for long-term and wide-area people behavior measurement

International Journal of Advanced Robotic Systems

LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments

NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge

LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time

International Conference on Robotics and Automation

Direct LiDAR Odometry: Fast Localization With Dense Point Clouds

NeBula: TEAM CoSTAR's Robotic Autonomy Solution that Won Phase II of DARPA Subterranean Challenge

A Comparison of LiDAR-based SLAM Systems for Control of Unmanned Aerial Vehicles

International Conference on Unmanned Aircraft Systems

Advanced Mapping Robot and High-Resolution Dataset

Path Planning of UGV Based on Bézier Curves


An Empirical Study of Training Self-Supervised Vision Transformers

TransPath: Transformer-Based Self-supervised Learning for Histopathological Image Classification

Medical Image Computing and Computer-Assisted Intervention

Towards label-efficient automatic diagnosis and analysis: a comprehensive survey of advanced deep learning-based weakly-supervised, semi-supervised and self-supervised techniques in histopathological image analysis

A General-Purpose Self-Supervised Model for Computational Pathology

Radio-pathomic approaches in pediatric neuro-oncology: Opportunities and challenges

Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation


nucleosome calling using ATAC-seq

Structured nucleosome fingerprints enable high-resolution mapping of chromatin architecture within regulatory regions

Nucleosome positioning: resources and tools online

Non-coding germline GATA3 variants alter chromatin topology and contribute to pathogenesis of acute lymphoblastic leukemia


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

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

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

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

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

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

BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations


Diffusion-LM

Diffusion-LM Improves Controllable Text Generation

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

Latent Diffusion for Language Generation

LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models

Can Diffusion Model Achieve Better Performance in Text Generation? Bridging the Gap between Training and Inference!


DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets

ProphNet: Efficient Agent-Centric Motion Forecasting with Anchor-Informed Proposals

DenseTNT: Waymo Open Dataset Motion Prediction Challenge 1st Place Solution

Aware of the History: Trajectory Forecasting with the Local Behavior Data

VectorFlow: Combining Images and Vectors for Traffic Occupancy and Flow Prediction

Enhancing Mapless Trajectory Prediction through Knowledge Distillation


Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

Med3D: Transfer Learning for 3D Medical Image Analysis

Models Genesis

SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiological Images

A Comprehensive Review of Computer-Aided Diagnosis of Pulmonary Nodules Based on Computed Tomography Scans

Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training

Stratification of malignant renal neoplasms from cystic renal lesions using deep learning and radiomics features based on a stacking ensemble CT machine learning algorithm

A 3D generative model of pathological multi-modal MR images and segmentations

Uncertainty estimations methods for a deep learning model to aid in clinical decision-making -- a clinician's perspective

Hybrid Representation Learning for Cognitive Diagnosis in Late-Life Depression Over 5 Years with Structural MRI

Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI


pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis

StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis

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

3D-aware Image Synthesis via Learning Structural and Textural Representations

Generative Occupancy Fields for 3D Surface-Aware Image Synthesis

Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis

Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance Fields

AR-NeRF: Unsupervised Learning of Depth and Defocus Effects from Natural Images with Aperture Rendering Neural Radiance Fields

FIRe: Fast Inverse Rendering using Directional and Signed Distance Functions

Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase


GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

GANimation: One-Shot Anatomically Consistent Facial Animation

International Journal of Computer Vision

Toward Fine-grained Facial Expression Manipulation


Simple but effective library to translate Java source code to Python.

Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages

Syntax and Domain Aware Model for Unsupervised Program Translation

Using Document Similarity Methods to create Parallel Datasets for Code Translation

Attention, Compilation, and Solver-based Symbolic Analysis are All You Need

Pathways to Leverage Transcompiler based Data Augmentation for Cross-Language Clone Detection

BayesicFitting, a PYTHON toolbox for Bayesian fitting and evidence calculation.

Teaching Machines to Code: Smart Contract Translation with LLMs


Meshed-Memory Transformer for Image Captioning. CVPR 2020

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

Text Augmentation Using BERT for Image Captioning

Efficient Modeling of Future Context for Image Captioning

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

Automatic Radiology Report Generation by Learning with Increasingly Hard Negatives

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

Are metrics measuring what they should? An evaluation of image captioning task metrics

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


Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"

Layer Normalization

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

Skip-Thought Vectors

Learning Distributed Representations of Sentences from Unlabelled Data

Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks

Self-Taught Convolutional Neural Networks for Short Text Clustering

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

Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language Generation

On Multiplicative Integration with Recurrent Neural Networks

Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations

Meeting of the Association for Computational Linguistics

Efficient Vector Representation for Documents through Corruption


Repository to store conditional imitation learning based AI that runs on CARLA.

End-to-end Driving via Conditional Imitation Learning

VR-Goggles for Robots: Real-to-Sim Domain Adaptation for Visual Control

Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware Perspective


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

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

Korean clinical entity recognition from diagnosis text using BERT

BMC medical informatics and decision making

English Recipe Flow Graph Corpus

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

Sentence-Level Resampling for Named Entity Recognition

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

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

Concept Extraction Using Pointer-Generator Networks

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


Effects of sex and aging on the immune cell landscape as assessed by single-cell transcriptomic analysis

Transcriptome dynamics of hippocampal neurogenesis in macaques across the lifespan and aged humans

Distinct molecular and immune hallmarks of inflammatory arthritis induced by immune checkpoint inhibitors for cancer therapy

Effects of poor sleep on the immune cell landscape as assessed by single-cell analysis

Integrative analysis of cancer-associated fibroblast signature in gastric cancer

Insights gained from single-cell analysis of immune cells in tofacitinib treatment of Vogt-Koyanagi-Harada disease

CITEdb: a manually curated database of cell–cell interactions in human

Identification of Key eRNAs for Spinal Cord Injury by Integrated Multinomial Bioinformatics Analysis

Frontiers in cell and developmental biology

Dissection of Cellular Communication between Human Primary Osteoblasts and Bone Marrow Mesenchymal Stem Cells in Osteoarthritis at Single-Cell Resolution

Identification of Key Immune-Related Genes in the Progression of Septic Shock


Statistical Rethinking course and book package

Advanced Bayesian Multilevel Modeling with the R Package brms

Bayesian Item Response Modeling in R with brms and Stan

Why the Cross-Lagged Panel Model Is Almost Never the Right Choice

Advances in Methods and Practices in Psychological Science

Gene expression differs in susceptible and resistant amphibians exposed to Batrachochytrium dendrobatidis

Multiflora rose invasion amplifies prevalence of Lyme disease pathogen, but not necessarily Lyme disease risk

"Cultural additivity" and how the values and norms of Confucianism, Buddhism, and Taoism co-exist, interact, and influence Vietnamese society: A Bayesian analysis of long-standing folktales, using R and Stan

Impact of climate change on site characteristics of eight major astronomical observatories using high-resolution global climate projections until 2050

Effect of Norovirus Inoculum Dose on Virus Kinetics, Shedding, and Symptoms

Epidemiological transitions in human evolution and the richness of viruses, helminths, and protozoa

Semiparametric zero-inflated Bernoulli regression with applications


PyTorch implementation of UNet++ (Nested U-Net).

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

Medical Image Segmentation Using Squeeze-and-Expansion Transformers

Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images

EVALUATION OF UNet AND UNet++ ARCHITECTURES IN HIGH RESOLUTION IMAGE CHANGE DETECTION APPLICATIONS

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

Enhancing MRI Brain Tumor Segmentation with an Additional Classification Network


Variant calling and somatic mutation/CNV detection for next-generation sequencing data

Nanopore Targeted Sequencing for Rapid Gene Mutations Detection in Acute Myeloid Leukemia

Vaccination decreases the risk of influenza A virus reassortment but not genetic variation in pigs

Lineage Divergence of Dendrolimus punctatus in Southern China Based on Mitochondrial Genome

Virologic Outcomes with Molnupiravir in Non-hospitalized Adult Patients with COVID-19 from the Randomized, Placebo-Controlled MOVe-OUT Trial

The cytidine deaminase APOBEC3G drives cancer mutagenesis and clonal evolution in bladder cancer

Client applications and Server Side docker for management of RNASeq and/or VariantSeq workflows and pipelines of the GPRO Suite

Protocol for the development of joint attention-based subclassification of autism spectrum disorder and validation using multi-modal data


PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

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

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

SPLATNet: Sparse Lattice Networks for Point Cloud Processing

Local Spectral Graph Convolution for Point Set Feature Learning

Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds

Spherical CNNs on Unstructured Grids

Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling

IEEE transactions on pattern analysis and machine intelligence

BRepNet: A topological message passing system for solid models

Regularizing Neural Networks via Minimizing Hyperspherical Energy


Official implementation of Character Region Awareness for Text Detection (CRAFT)

Text Detection and Recognition in the Wild: A Review

iGOS++: Integrated Gradient Optimized Saliency by Bilateral Perturbations

Scene Text Detection in Natural Images: A Review

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

Authorship Recognition with Short-Text using Graph-based Techniques

Predicting Cell Cleavage Timings from Time-Lapse Videos of Human Embryos

Which Ads to Show? Advertisement Image Assessment with Auxiliary Information via Multi-step Modality Fusion

A Smarter Way to Collect and Store Data

Topics in Artificial Intelligence Applied to Industry 4.0


SpeechGPT Series: Speech Large Language Models

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

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

SpeechAlign: Aligning Speech Generation to Human Preferences

SpeechGPT-Gen: Scaling Chain-of-Information Speech Generation

Integrating Paralinguistics in Speech-Empowered Large Language Models for Natural Conversation


[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic
  Planning

Dualad: Disentangling the Dynamic and Static World for End-to-End Driving


Network Slimming (Pytorch) (ICCV 2017)

Learning Efficient Convolutional Networks through Network Slimming

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning

Data-Independent Structured Pruning of Neural Networks via Coresets

Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM)

Accelerating Training using Tensor Decomposition

A Proximal Algorithm for Network Slimming


TextBoxes: A Fast Text Detector with a Single Deep Neural Network

TextBoxes++: A Single-Shot Oriented Scene Text Detector

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

Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes

Scene Text Detection and Recognition: The Deep Learning Era

Text Recognition in the Wild: A Survey

Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification

Extracting textual overlays from social media videos using neural networks


UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Visualizing Large-scale and High-dimensional Data

TriMap: Large-scale Dimensionality Reduction Using Triplets

Fast Eigenspace Approximation using Random Signals

PixelSNE: Visualizing Fast with Just Enough Precision via Pixel-Aligned Stochastic Neighbor Embedding

Revisiting k-Nearest Neighbor Graph Construction on High-Dimensional Data : Experiments and Analyses

Stochastic cluster embedding

DiVA: A Scalable, Interactive and Customizable Visual Analytics Platform for Information Diffusion on Large Networks

2-D Embedding of Large and High-dimensional Data with Minimal Memory and Computational Time Requirements

An Analytical Survey on Recent Trends in High Dimensional Data Visualization


Code for ALBEF: a new vision-language pre-training method

Align before Fuse: Vision and Language Representation Learning with Momentum Distillation

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

MixGen: A New Multi-Modal Data Augmentation

Open Vocabulary Object Detection with Pseudo Bounding-Box Labels

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

Are Multimodal Models Robust to Image and Text Perturbations?

Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models

Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization

Towards Open Vocabulary Object Detection without Human-provided Bounding Boxes

MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks


Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

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

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

How Expressive are Spectral-Temporal Graph Neural Networks for Time Series Forecasting?

Deep Coupling Network For Multivariate Time Series Forecasting


Microsatellite instability (MSI) detection for tumor only data.

Comprehensive characterization of 536 patient-derived xenograft models prioritizes candidates for targeted treatment

DACH1 mutation frequency in endometrial cancer is associated with high tumor mutation burden

ATR inhibition induces synthetic lethality in mismatch repair-deficient cells and augments immunotherapy

Intra-Tumoral CD8+ T-Cell Infiltration and PD-L1 Positivity in Homologous Recombination Deficient Pancreatic Ductal Adenocarcinoma

Prognostic potential of whole exome sequencing in the clinical management of metachronous colorectal cancer liver metastases

Comprehensive genomic characterization of sporadic synchronous colorectal cancer: Implications for treatment optimization and clinical outcome


Very fast greedy diffeomorphic registration code

The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics

The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients

NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration

Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic Model

Direct and specific assessment of axonal injury and spinal cord microenvironments using diffusion correlation imaging

Unsupervised machine learning using K-means identifies radiomic subgroups of pediatric low-grade gliomas that correlate with key molecular markers

Accurate and Robust Alignment of Differently Stained Histologic Images Based on Greedy Diffeomorphic Registration

Accurate and Robust Alignment of Variable-stained Histologic Images Using a General-purpose Greedy Diffeomorphic Registration Tool

iEEG-recon: A Fast and Scalable Pipeline for Accurate Reconstruction of Intracranial Electrodes and Implantable Devices

medRxiv : the preprint server for health sciences

Clinically Deployed Computational Assessment of Multiple Sclerosis Lesions


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

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

Image-based Automatic Dial Meter Reading in Unconstrained Scenarios

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

Leveraging Model Fusion for Improved License Plate Recognition


CRF++: Yet Another CRF toolkit

DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets

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

Deep Learning Transformer Architecture for Named Entity Recognition on Low Resourced Languages: State of the art results

NLP Web Services for Resource-Scarce Languages

Diacritization of Maghrebi Arabic Sub-Dialects

How do you correct run-on sentences it's not as easy as it seems


StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

StarGAN v2: Diverse Image Synthesis for Multiple Domains

Alias-Free Generative Adversarial Networks

StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis

On Aliased Resizing and Surprising Subtleties in GAN Evaluation

EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks

Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving

Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation

Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis


neural question generation for reading comprehension

Learning to Ask: Neural Question Generation for Reading Comprehension

Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering

Self-Attention Architectures for Answer-Agnostic Neural Question Generation

On the Importance of Diversity in Question Generation for QA

Improving Question Generation With to the Point Context

A Semantic Role-based Approach to Open-Domain Automatic Question Generation

Workshop on Innovative Use of NLP for Building Educational Applications

Automatic question generation based on sentence structure analysis using machine learning approach

What BERT Sees: Cross-Modal Transfer for Visual Question Generation

BERT Can See Out of the Box: On the Cross-modal Transferability of Text Representations.

Quinductor: A multilingual data-driven method for generating reading-comprehension questions using Universal Dependencies


Simple Online Realtime Tracking with a Deep Association Metric

Simple Online and Realtime Tracking with a Deep Association Metric

BoT-SORT: Robust Associations Multi-Pedestrian Tracking

JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments

Sort and Deep-SORT Based Multi-Object Tracking for Mobile Robotics: Evaluation with New Data Association Metrics

Panoptic Segmentation Forecasting

Partial Scene Reconstruction for Close Range Photogrammetry Using Deep Learning Pipeline for Region Masking

Fetal Movement Detection and Anatomical Plane Recognition using YOLOv5 Network in Ultrasound Scans

European Journal of Science and Technology

Estimating catch rates in real time: Development of a deep learning based Nephrops (Nephrops norvegicus) counter for demersal trawl fisheries


Spike sorting software

Scaling Spike Detection and Sorting for Next Generation Electrophysiology

Rhythmic coordination and ensemble dynamics in the hippocampal-prefrontal network during odor-place associative memory and decision making

Coordinated head direction representations in mouse anterodorsal thalamic nucleus and retrosplenial cortex.


Learning diverse image-to-image translation from unpaired data

Diverse Image-to-Image Translation via Disentangled Representations

Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis

Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

Positional Normalization

Memory-guided Unsupervised Image-to-image Translation

MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators

Exploring Semantic Consistency in Unpaired Image Translation to Generate Data for Surgical Applications


RAFT: Recurrent All-Pairs Field Transforms for Optical Flow

Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch

Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories

Consistent View Synthesis with Pose-Guided Diffusion Models

Deep Equilibrium Optical Flow Estimation

Imposing Consistency for Optical Flow Estimation

A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation

DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling

360° Optical Flow using Tangent Images

MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation


Asynchronous Methods for Deep Reinforcement Learning

Pre-training with non-expert human demonstration for deep reinforcement learning

Jointly Pre-training with Supervised, Autoencoder, and Value Losses for Deep Reinforcement Learning

Vision-based deep execution monitoring


Estimating Effective Migration Surfaces

The genomic history of southeastern Europe

Visualizing spatial population structure with estimated effective migration surfaces

Interactions between earliest Linearbandkeramik farmers and central European hunter gatherers at the dawn of European Neolithization

Y chromosomal evidence on the origin of northern Thai people

Contrasting genetic trajectories of endangered and expanding red fox populations in the western U.S

Implications of Historical and Contemporary Processes on Genetic Differentiation of a Declining Boreal Songbird: The Rusty Blackbird

Location and Species Matters: Variable Influence of the Environment on the Gene Flow of Imperiled, Native and Invasive Cottontails

Effects of Forest Fragmentation on Connectivity and Genetic Diversity in an Endemic and an Invasive Rodent in Northwestern Madagascar

History of Diversification and Adaptation from North to South Revealed by Genomic Data: Guanacos from the Desert to Sub-Antarctica

Genomic clines across the species boundary between a hybrid pine and its progenitor in the eastern Tibetan Plateau


Karras et al. (2022) diffusion models for PyTorch

Elucidating the Design Space of Diffusion-Based Generative Models

DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data

Directed Diffusion: Direct Control of Object Placement through Attention Guidance

Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers

A Reproducible Extraction of Training Images from Diffusion Models

PC-Droid: Faster diffusion and improved quality for particle cloud generation

Improving Diffusion Models for Inverse Problems Using Optimal Posterior
  Covariance

Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models

Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models

CFG++: Manifold-constrained Classifier Free Guidance for Diffusion
  Models


scripts and baselines for Spider: Yale complex and cross-domain semantic parsing and text-to-SQL challenge

Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

SParC: Cross-Domain Semantic Parsing in Context

Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions

Semantic Evaluation for Text-to-SQL with Distilled Test Suites

Optimizing Deeper Transformers on Small Datasets

ValueNet: A Natural Language-to-SQL System that Learns from Database Information

An Imitation Game for Learning Semantic Parsers from User Interaction

L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models

ValueNet: A Neural Text-to-SQL Architecture Incorporating Values

Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL

Empirical Methods in Natural Language Processing


The official AtmoSwing repository


GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients

VeLoRA: Memory Efficient Training using Rank-1 Sub-Token Projections

Sparse Spectral Training and Inference on Euclidean and Hyperbolic
  Neural Networks

SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research
  Repositories


⚡♠ Assemble bacterial isolate genomes from Illumina paired-end reads

Isolation and rapid sharing of the 2019 novel coronavirus (SARS-CoV-2) from the first patient diagnosed with COVID-19 in Australia.

Surveillance of Enterococcus spp. reveals distinct species and antimicrobial resistance diversity across a One-Health continuum

Evolution and Global Transmission of a Multidrug-Resistant, Community-Associated Methicillin-Resistant Staphylococcus aureus Lineage from the Indian Subcontinent

Bactopia: a flexible pipeline for complete analysis of bacterial genomes

A Klebsiella pneumoniae ST307 outbreak clone from Germany demonstrates features of extensive drug resistance, hypermucoviscosity, and enhanced iron acquisition

Correlation between Phenotypic and In Silico Detection of Antimicrobial Resistance in Salmonella enterica in Canada Using Staramr

Exploring bacterial diversity via a curated and searchable snapshot of archived DNA sequences

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

Unearthing the Plant Growth-Promoting Traits of Bacillus megaterium RmBm31, an Endophytic Bacterium Isolated From Root Nodules of Retama monosperma

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


Hifiasm: a haplotype-resolved assembler for accurate Hifi reads

Haplotype-resolved de novo assembly using phased assembly graphs with hifiasm

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

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

Chromosome-scale genome assembly of the transformation-amenable common wheat cultivar ‘Fielder’

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

The complete reference genome for grapevine (Vitis vinifera L.) genetics and breeding

Computational methods for chromosome-scale haplotype reconstruction

Revealing evolution of tropane alkaloid biosynthesis by analyzing two genomes in the Solanaceae family

Scalable telomere-to-telomere assembly for diploid and polyploid genomes with double graph

Complete Sequence of a 641-kb Insertion of Mitochondrial DNA in the Arabidopsis thaliana Nuclear Genome

Robust haplotype-resolved assembly of diploid individuals without parental data


Character Animation (AnimateAnyone, Face Reenactment)

Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animation

Human4DiT: 360-degree Human Video Generation with 4D Diffusion Transformer


SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

A Simple Framework for Contrastive Learning of Visual Representations

Big Self-Supervised Models Advance Medical Image Classification

Improving robustness against common corruptions by covariate shift adaptation

The Origins and Prevalence of Texture Bias in Convolutional Neural Networks

Differentially Private Learning Needs Better Features (or Much More Data)

Intriguing Properties of Contrastive Losses

BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning

Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases

Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

Image Augmentations for GAN Training


Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

Deep Learning with Differential Privacy

Conference on Computer and Communications Security

Federated Learning: Challenges, Methods, and Future Directions

FLOP: Federated Learning on Medical Datasets using Partial Networks

An Efficient Privacy-Enhancing Cross-Silo Federated Learning and Applications for False Data Injection Attack Detection in Smart Grids

IEEE Transactions on Information Forensics and Security

Distributed Raman Spectrum Data Augmentation System Using Federated Learning with Deep Generative Models

Boost Decentralized Federated Learning in Vehicular Networks by Diversifying Data Sources

Federated Reinforcement Learning Based AANs with LEO Satellites and UAVs

Federated Transfer Learning with Multimodal Data

Multi-Criteria Client Selection and Scheduling with Fairness Guarantee for Federated Learning Service


Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

MVDepthNet: Real-time Multiview Depth Estimation Neural Network

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

Peeking Behind Objects: Layered Depth Prediction from a Single Image

Real-time Vision-based Depth Reconstruction with NVidia Jetson

DeepLens: Towards a Visual Data Management System

Depth Estimation on Underwater Omni-directional Images Using a Deep Neural Network

Black-box Adversarial Attacks on Monocular Depth Estimation Using Evolutionary Multi-objective Optimization


Unsupervised Language Modeling at scale for robust sentiment classification

Attention Is All You Need

Mining Dual Emotion for Fake News Detection

Generating Sentiment-Preserving Fake Online Reviews Using Neural Language Models and Their Human- and Machine-based Detection

Practical Text Classification With Large Pre-Trained Language Models

Large Scale Language Modeling: Converging on 40GB of Text in Four Hours

Multimodal Dual Emotion with Fusion of Visual Sentiment for Rumor Detection


PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

End-to-End Object Detection with Transformers

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Label-Efficient Semantic Segmentation with Diffusion Models

Instance Localization for Self-supervised Detection Pretraining

Instance-Conditioned GAN

CompRess: Self-Supervised Learning by Compressing Representations

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

Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?

A Theory of Label Propagation for Subpopulation Shift

DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning


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

View Synthesis by Appearance Flow

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


Faster R-CNN

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

Vehicle Detection in Aerial Images Based on Region Convolutional Neural Networks and Hard Negative Example Mining

Adaptive Object Detection Using Adjacency and Zoom Prediction

Applications of deep-learning approaches in horticultural research: a review

Sequential Optimization for Efficient High-Quality Object Proposal Generation

Una Revisión Sistemática de Métodos para Localizar Automáticamente Objetos en Imágenes

Revista Iberoamericana de Automática e Informática industrial

Object proposal with kernelized partial ranking


Aigents Java Core Platform

Social Media Sentiment Analysis for Cryptocurrency Market Prediction

A Reputation System for Marketplaces - Viability Assessment

Reputation System for Online Communities (in Russian)

Controlled Language and Baby Turing Test for General Conversational Intelligence


A Kitti Road Segmentation model implemented in tensorflow.

MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

The art and practice of data science pipelines

ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection

Masking Salient Object Detection, a Mask Region-based Convolutional Neural Network Analysis for Segmentation of Salient Objects

Towards a Change Taxonomy for Machine Learning Systems


Software for Quantifying Interspersed Repeat Expression

SQuIRE reveals locus-specific regulation of interspersed repeat expression

A new duck genome reveals conserved and convergently evolved chromosome architectures of birds and mammals

Locus-specific expression analysis of transposable elements

LINE-1 RNA triggers matrix formation in bone cells via a PKR-mediated inflammatory response


R library to normalize cytometry data

Dynamic CD8+ T cell responses to cancer immunotherapy in human regional lymph nodes are disrupted in metastatic lymph nodes

Immune Modulation with RANKL Blockade through Denosumab Treatment in Patients with Cancer

A conserved immune trajectory of recovery in hospitalized COVID-19 patients

bioRxiv : the preprint server for biology


VMamba: Visual State Space Models，code is based on mamba

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

A ConvNet for the 2020s

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

VMamba: Visual State Space Model

Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining

LocalMamba: Visual State Space Model with Windowed Selective Scan

Serpent: Scalable and Efficient Image Restoration via Multi-scale
  Structured State Space Models


Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

Ego4D: Around the World in 3,000 Hours of Egocentric Video

A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection

Surgical Data Science -- from Concepts toward Clinical Translation

RADIATE: A Radar Dataset for Automotive Perception in Bad Weather

On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID

Deep Learning for Retail Product Recognition: Challenges and Techniques

Computational intelligence and neuroscience

Tracking Pedestrian Heads in Dense Crowd

RDD2022: A multi-national image dataset for automatic Road Damage Detection

MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images

Towards a better understanding of annotation tools for medical imaging: a survey


ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting (NeurIPS@2023 Spotlight, TPAMI@2024)

DifFace: Blind Face Restoration with Diffused Error Contraction

Efficient Diffusion Model for Image Restoration by Residual Shifting


A simple tool for labeling object bounding boxes in images

Deep Learning for Traffic Sign Recognition Based on Spatial Pyramid Pooling with Scale Analysis

AN APPROACH FOR IMAGE ANNOTATION AUTOMATIZATION FOR ARTIFICIAL INTELLIGENCE MODELS LEARNING

Адаптивні системи автоматичного управління

Recognizing Similar Musical Instruments with YOLO Models


Demystifying MMD GANs

Efficient Geometry-aware 3D Generative Adversarial Networks

Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction

Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars

3D GAN Inversion with Pose Optimization

Real-Time Radiance Fields for Single-Image Portrait View Synthesis

DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-aware Scene Synthesis

SceneDreamer: Unbounded 3D Scene Generation from 2D Image Collections

VIVE3D: Viewpoint-Independent Video Editing using 3D-Aware GANs

Comprehensive Vulnerability Evaluation of Face Recognition Systems to Template Inversion Attacks via 3D Face Reconstruction


95.47% on CIFAR10 with PyTorch

mixup: Beyond Empirical Risk Minimization

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks

Deep Double Descent: Where Bigger Models and More Data Hurt

Ensemble Distillation for Robust Model Fusion in Federated Learning

Learning Loss for Active Learning

Error Feedback Fixes SignSGD and other Gradient Compression Schemes

Why gradient clipping accelerates training: A theoretical justification for adaptivity

Data-Free Learning of Student Networks

CINIC-10 is not ImageNet or CIFAR-10

Forward and Backward Information Retention for Accurate Binary Neural Networks


RhythmNet: End-to-End Heart Rate Estimation From Face via Spatial-Temporal Representation

Cross-domain Face Presentation Attack Detection via Multi-domain Disentangled Representation Learning

VIPL-HR: A Multi-modal Database for Pulse Estimation from Less-constrained Face Video

Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling

Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition

Multi-Block Color-Binarized Statistical Images for Single-Sample Face Recognition

FCSR-GAN: Joint Face Completion and Super-Resolution via Multi-Task Learning

Towards Real-Time Eyeblink Detection in the Wild: Dataset, Theory and Practices

Ordinal distribution regression for gait-based age estimation

Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition


Kernel Point Convolution implemented in PyTorch

KPConv: Flexible and Deformable Convolution for Point Clouds

Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds

Mix3D: Out-of-Context Data Augmentation for 3D Scenes

Unsupervised Learning of Lidar Features for Use ina Probabilistic Trajectory Estimator

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

What Can be Seen is What You Get: Structure Aware Point Cloud Augmentation

COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving


WebGLM: An Efficient Web-enhanced Question Answering System (KDD 2023)

WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences

WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine

FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering


Finetuned Language Models Are Zero-Shot Learners

Scaling Instruction-Finetuned Language Models

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Instruction Tuning for Large Language Models: A Survey

OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models

KoLA: Carefully Benchmarking World Knowledge of Large Language Models

Understanding LLMs: A Comprehensive Overview from Training to Inference

Evaluating the Zero-shot Robustness of Instruction-tuned Language Models

Can Large Language Models Capture Dissenting Human Voices?


Large-scale generative pretrain of single cell using transformer.

scGPT: Towards Building a Foundation Model for Single-Cell Multi-omics Using Generative AI

A Deep Dive into Single-Cell RNA Sequencing Foundation Models

Large Language Models in Plant Biology

Parameter-Efficient Fine-Tuning Enhances Adaptation of Single Cell Large Language Model for Cell Type Identification

Transformer-based Single-Cell Language Model: A Survey


Python package for performing Entity and Text Matching using Deep Learning.

Holistic Evaluation of Language Models

Deep Learning for Entity Matching: A Design Space Exploration

SIGMOD'18: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation

Supervised Contrastive Learning for Product Matching

PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching

Alaska: A Flexible Benchmark for Data Integration Tasks

Effective Explanations for Entity Resolution Models

Active Deep Learning on Entity Resolution by Risk Sampling

WDC Products: A Multi-Dimensional Entity Matching Benchmark

Cost-effective Variational Active Entity Resolution


Grok open release

A Comprehensive Overview of Large Language Models

A Survey on Mixture of Experts

Tensor Attention Training: Provably Efficient Learning of Higher-order Transformers

GPT-SW3: An Autoregressive Language Model for the Nordic Languages

Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models

A Large-Scale Exploration of μ-Transfer

Octopus v4: Graph of language models

u-μP: The Unit-Scaled Maximal Update Parametrization

A Closer Look into Mixture-of-Experts in Large Language Models

Demystifying Platform Requirements for Diverse LLM Inference Use Cases


Single/multi view image(s) to voxel reconstruction using a recurrent neural network

3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction

Weakly supervised 3D Reconstruction with Adversarial Constraint

POCO: Point Convolution for Surface Reconstruction


A tensorflow implementation of the "Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis"

Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron

Exploring emotional prototypes in a high dimensional TTS latent space

Speaking style adaptation in Text-To-Speech synthesis using Sequence-to-sequence models with attention

Spoken Style Learning with Multi-modal Hierarchical Context Encoding for Conversational Text-to-Speech Synthesis.


FSGAN - Official PyTorch Implementation

FSGAN: Subject Agnostic Face Swapping and Reenactment

Deep Learning for Deepfakes Creation and Detection: A Survey

FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset

KoDF: A Large-scale Korean DeepFake Detection Dataset

A Review of Image Processing Techniques for Deepfakes

Learning Disentangled Representation for One-shot Progressive Face Swapping

Multilingual Audio-Visual Smartphone Dataset And Evaluation


High-performance Terrain and Hydrology Analysis

Algal growth and weathering crust state drive variability in western Greenland Ice Sheet ice albedo

Damage Detection Based on 3D Point Cloud Data Processing from Laser Scanning of Conveyor Belt Surface

Parallel Priority-Flood depression filling for trillion cell digital elevation models on desktops or clusters

Gerrymandering and Compactness: Implementation Flexibility and Abuse

Parallel non-divergent flow accumulation for trillion cell digital elevation models on desktops or clusters

Glaciohydraulic seismic tremors on an Alpine glacier

A Procedure for Complete Census Estimation of Rooftop Photovoltaic Potential in Urban Areas

India’s Commitments to Increase Tree and Forest Cover: Consequences for Water Supply and Agriculture Production within the Central Indian Highlands

Estimation of Fractional Photosynthetically Active Radiation From a Canopy 3D Model; Case Study: Almond Yield Prediction

Examining Landscape-Scale Fuel and Terrain Controls of Wildfire Spread Rates Using Repetitive Airborne Thermal Infrared (ATIR) Imagery


This package contains deep learning models and related scripts for RoseTTAFold

Accurate prediction of protein structures and interactions using a three-track neural network

Improved prediction of protein-protein interactions using AlphaFold2

SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks

Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media

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

The transformative power of transformers in protein structure prediction

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

Genome mining reveals abiotic stress resistance genes in plant genomes acquired from microbes via HGT

Systematic Analysis of the Grafting-Related Glucanase-Encoding GH9 Family Genes in Pepper, Tomato and Tobacco

Beating the Best: Improving on AlphaFold2 at Protein Structure Prediction

Sequence similarity network and protein structure prediction offer insights into the evolution of microbial pathways for ferrous iron oxidation


Deep Hough Voting for 3D Object Detection in Point Clouds

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

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

Rotationally Equivariant 3D Object Detection

Investigating Attention Mechanism in 3D Point Cloud Object Detection

Explaining Deep Neural Networks for Point Clouds using Gradient-based Visualisations

Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape Data


3D ResNets for Action Recognition (CVPR 2018)

Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?

Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?

Using 3D Convolutional Neural Networks to Learn Spatiotemporal Features for Automatic Surgical Gesture Recognition in Video

Fine-grained Video Classification and Captioning

STAIR Actions: A Video Dataset of Everyday Home Actions

VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer

Video Content Analysis for Compliance Audit in Finance and Security Industry

Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training

Multimodal Co-Training for Selecting Good Examples from Webly Labeled Video

Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis


EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

Open-World Entity Segmentation

High Quality Segmentation for Ultra High-resolution Images

High Quality Entity Segmentation

ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation

CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation

Rethinking Evaluation Metrics of Open-Vocabulary Segmentaion

UniGS: Unified Representation for Image Generation and Segmentation

AIMS: All-Inclusive Multi-Level Segmentation

Automatically Discovering Novel Visual Categories with Self-supervised Prototype Learning


Environmental modeling software

High resolution annual average air pollution concentration maps for the Netherlands

Zenodo (CERN European Organization for Nuclear Research)


General tools for genomic analyses.

Recombination rate variation shapes barriers to introgression across butterfly genomes

Widespread selection and gene flow shape the genomic landscape during a radiation of monkeyflowers

Pig genome functional annotation enhances the biological interpretation of complex traits and human disease

No evidence for maintenance of a sympatric Heliconius species barrier by chromosomal inversions

Adaptive Introgression across Semipermeable Species Boundaries between Local Helicoverpa zea and Invasive Helicoverpa armigera Moths

Don't throw out the sympatric speciation with the crater lake water: fine-scale investigation of introgression provides equivocal support for causal role of secondary gene flow in one of the clearest examples of sympatric speciation

Whole-chromosome hitchhiking driven by a male-killing endosymbiont

A high-quality, chromosome-level genome assembly of the Black Soldier Fly (Hermetia illucens L.)

Behavior-dependent cis regulation reveals genes and pathways associated with bower building in cichlid fishes

Chromosome Fusion Affects Genetic Diversity and Evolutionary Turnover of Functional Loci but Consistently Depends on Chromosome Size


Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes

Fawkes: Protecting Privacy against Unauthorized Deep Learning Models

Data Poisoning Won't Save You From Facial Recognition

UnGANable: Defending Against GAN-based Face Manipulation

FACE-AUDITOR: Data Auditing in Facial Recognition Systems

Ulixes: Facial Recognition Privacy with Adversarial Machine Learning

Proceedings on Privacy Enhancing Technologies

GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)

Face Recognition in the age of CLIP & Billion image datasets


Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.

LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day

BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks

Dragonfly: Multi-Resolution Zoom-In Encoding Enhances Vision-Language Models

Advancing High Resolution Vision-Language Models in Biomedicine

iHealth-Chile-1 at RRG24: In-context Learning and Finetuning of a Large Multimodal Model for Radiology Report Generation

Workshop on Biomedical Natural Language Processing


Fitness landscape exploration sandbox for biological sequence design.

AdaLead: A simple and robust adaptive greedy search algorithm for sequence design

A primer on model-guided exploration of fitness landscapes for biological sequence design

Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences


Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)

Scene Text Detection and Recognition: The Deep Learning Era

Deep Residual Text Detection Network for Scene Text

Boosting up Scene Text Detectors with Guided CNN

A High-Precision Method for Segmentation and Recognition of Shopping Mall Plans


Powerful Python tool to analyze PDF documents

On Training Robust PDF Malware Classifiers

PDF-Malware: An Overview on Threats, Detection and Evasion Attacks

Double-Layer Detection Model of Malicious PDF Documents Based on Entropy Method with Multiple Features

From Attachments to SEO: Click Here to Learn More about Clickbait PDFs!


A Fully Bayesian Inference of Tumor Microenvironment composition and gene expression

Performance of tumour microenvironment deconvolution methods in breast cancer using single-cell simulated bulk mixtures

Multiomics analysis reveals metabolic subtypes and identifies diacylglycerol kinase α (DGKA) as a potential therapeutic target for intrahepatic cholangiocarcinoma

Single-cell transcriptome analysis reveals the clinical implications of myeloid-derived suppressor cells in head and neck squamous cell carcinoma


The Chargy E-Mobility Transparency Application for Windows, Mac OS X and Linux (based on Electron)


Trash Annotations in Context Dataset Toolkit

TACO: Trash Annotations in Context for Litter Detection

OATCR: Outdoor Autonomous Trash-Collecting Robot Design Using YOLOv4-Tiny

Methodology for Translation of Video Content Activates into Text Description: Three Object Activities Action

International Journal of Image, Graphics and Signal Processing


Distributed Retrieval Evaluation Server

Interactive video retrieval evaluation at a distance: comparing sixteen interactive video search systems in a remote setting at the 10th Video Browser Showdown

International journal of multimedia information retrieval

A System for Interactive Multimedia Retrieval Evaluations

A tale of two interfaces: vitrivr at the lifelog search challenge


Science Parse parses scientific papers (in PDF form) and returns them in structured form.

SciBERT: A Pretrained Language Model for Scientific Text

CORD-19: The COVID-19 Open Research Dataset

Construction of the Literature Graph in Semantic Scholar

A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications

Can We Automate Scientific Reviewing?

The Semantic Scholar Open Data Platform

A Summarization System for Scientific Documents

Machine Learning vs. Rules and Out-of-the-Box vs. Retrained: An Evaluation of Open-Source Bibliographic Reference and Citation Parsers

DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions

Meeting of the Association for Computational Linguistics

TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks


Painter & SegGPT Series: Vision Foundation Models from BAAI

SegGPT: Segmenting Everything In Context

Images Speak in Images: A Generalist Painter for In-Context Visual Learning

UPOCR: Towards Unified Pixel-Level OCR Interface

Tumor segmentation on whole slide images: training or prompting?


Code for the paper "Improved Techniques for Training GANs"

Improved Techniques for Training GANs

Conditional Image Synthesis With Auxiliary Classifier GANs

Generative Modeling by Estimating Gradients of the Data Distribution

TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up

PacGAN: The power of two samples in generative adversarial networks

Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step

Reducing Noise in GAN Training with Variance Reduced Extragradient

LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation

VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models

Calibrating Energy-based Generative Adversarial Networks


[IEEE TMI] Official Implementation for UNet++

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

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

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images

Microscopy cell nuclei segmentation with enhanced U-Net

Weakly supervised individual ganglion cell segmentation from adaptive optics OCT images for glaucomatous damage assessment

CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images

MAG-Net: Mutli-task attention guided network for brain tumor segmentation and classification.

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

Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography

Deep Learning-Based Classification and Semantic Segmentation of Lung Tuberculosis Lesions in Chest X-ray Images


Ultra-faint galaxy likelihood toolkit

Stellar Streams Discovered in the Dark Energy Survey

Milky Way Satellite Census. I. The Observational Selection Function for Milky Way Satellites in DES Y3 and Pan-STARRS DR1

AN ULTRA-FAINT GALAXY CANDIDATE DISCOVERED IN EARLY DATA FROM THE MAGELLANIC SATELLITES SURVEY

Proper motions of Milky Way Ultra-Faint satellites with Gaia DR2 × DES DR1

The First Tidally Disrupted Ultra-faint Dwarf Galaxy?: A Spectroscopic Analysis of the Tucana III Stream

Two Ultra-faint Milky Way Stellar Systems Discovered in Early Data from the DECam Local Volume Exploration Survey

Discovery of an Ultra-faint Stellar System near the Magellanic Clouds with the DECam Local Volume Exploration Survey

Eridanus IV: an Ultra-faint Dwarf Galaxy Candidate Discovered in the DECam Local Volume Exploration Survey

Pegasus IV: Discovery and Spectroscopic Confirmation of an Ultra-faint Dwarf Galaxy in the Constellation Pegasus

A Faint Halo Star Cluster Discovered in the Blanco Imaging of the Southern Sky Survey


Genome Association Predict Integrate Tools

Adaptive and maladaptive introgression in grapevine domestication

Genome-Wide Association Study and Genomic Prediction for Soybean Cyst Nematode Resistance in USDA Common Bean (Phaseolus vulgaris) Core Collection

Genome-Wide Association Study to Identify Candidate Loci for Biomass Formation Under Water Deficit in Perennial Ryegrass

A genome-wide association study and genomic prediction for Phakopsora pachyrhizi resistance in soybean

Genome-Wide Association Study and Genomic Prediction for Bacterial Wilt Resistance in Common Bean (Phaseolus vulgaris) Core Collection

A Genome-Wide Association Study Reveals Region Associated with Seed Protein Content in Cowpea

Genome-Wide Association Study and Genomic Prediction of Fusarium Wilt Resistance in Common Bean Core Collection

International journal of molecular sciences

Genome and GWAS analysis identified genes significantly related to phenotypic state of Rhododendron bark

Genetic Diversity and Genome-Wide Association Study for the Phenology Response of Winter Wheats of North America, Western Asia, and Europe


Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

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

Sequence-to-Sequence Learning as Beam-Search Optimization

Object-oriented backdoor attack against image captioning

Atlas: A Dataset and Benchmark for E-commerce Clothing Product Categorization

Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations

Think Beyond Words: Exploring Context-Relevant Visual Commonsense for Diverse Dialogue Generation

Findings of the Association for Computational Linguistics: EMNLP 2022

Neural Encoding and Interpretation of High-Level Visual Cortices Based on fMRI Using Image Caption Features

Let's Talk! Striking Up Conversations via Conversational Visual Question Generation

vieCap4H-VLSP 2021: Vietnamese Image Captioning for Healthcare Domain using Swin Transformer and Attention-based LSTM


Home of the Language Ecosystem for Modeling Microservice Architecture (LEMMA)

A Modeling Method for Systematic Architecture Reconstruction of Microservice-Based Software Systems

Lecture notes in business information processing

Graphical and Textual Model-Driven Microservice Development

Towards a UML Profile for Domain-Driven Design of Microservice Architectures

SOFTWARE ENGINEERING AND FORMAL METHODS, SEFM 2017

Applying Model-Driven Engineering to Stimulate the Adoption of DevOps Processes in Small and Medium-Sized Development Organizations

A model-driven workflow for distributed microservice development

SAC '19: PROCEEDINGS OF THE 34TH ACM/SIGAPP SYMPOSIUM ON APPLIED COMPUTING

Model-Driven Generation of Microservice Interfaces: From LEMMA Domain Models to Jolie APIs

Microservice architecture and model-driven development: yet singles, soon married (?)

International Conference on Agile Software Development

Jolie and LEMMA: Model-Driven Engineering and Programming Languages Meet on Microservices

Exploring the Microservice Development Process in Small and Medium-Sized Organizations

Product Focused Software Process Improvement

Modeling microservice architecture: a comparative experiment towards the effectiveness of two approaches

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


Repositório de dados sobre SARS-COV-2 em municípios paulistas

Sampling strategies for wastewater surveillance: Evaluating the variability of SARS-COV-2 RNA concentration in composite and grab samples

Journal of environmental chemical engineering

Simulation-based evaluation of school reopening strategies during COVID-19: A case study of São Paulo, Brazil

First case of SARS-CoV-2 RNA detection in municipal solid waste leachate from Brazil

Male sex rather than socioeconomic vulnerability as a determinant for COVID-19 death in Sao Paulo: A population-based study

The impact of school reopening strategies during COVID-19: A case study of Sao Paulo, Brazil.


[ICLR 2024] Official implementation of "  Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

Transformers in Time Series: A Survey

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook

Foundation Models for Time Series Analysis: A Tutorial and Survey

Empowering Time Series Analysis with Large Language Models: A Survey

S^2IP-LLM: Semantic Space Informed Prompt Learning with LLM
  for Time Series Forecasting

PowerPM: Foundation Model for Power Systems


A torch implementation of http://arxiv.org/abs/1511.06434

Generative Adversarial Text to Image Synthesis

Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning

Invertible Conditional GANs for image editing

Learning What and Where to Draw

LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation

Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step

Adversarial nets with perceptual losses for text-to-image synthesis

Generative Art: Between the Nodes of Neuron Networks


OpenFLUID framework and applications


Dense image captioning in Torch

DenseCap: Fully Convolutional Localization Networks for Dense Captioning

Fooling Vision and Language Models Despite Localization and Attention Mechanism

Multimodal Neural Graph Memory Networks for Visual Question Answering

Deep Generative Probabilistic Graph Neural Networks for Scene Graph Generation

THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Double Attention-based Multimodal Neural Machine Translation with Semantic Image Regions

European Association for Machine Translation Conferences/Workshops

When an Image Tells a Story: The Role of Visual and Semantic Information for Generating Paragraph Descriptions

Proceedings of the 13th International Conference on Natural Language Generation

Understanding Advertisements with BERT

Dense Video Object Captioning from Disjoint Supervision


Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

Ten years of generative adversarial nets (GANs): a survey of the state-of-the-art

DeepLandscape: Adversarial Modeling of Landscape Video

A Generative Model for Texture Synthesis based on Optimal Transport Between Feature Distributions

Generative Adversarial Networks Can Create High Quality Artificial Prostate Cancer Magnetic Resonance Images


deconstructSigs

Histone H1 loss drives lymphoma by disrupting 3D chromatin architecture

Pan-cancer inference of intra-tumor heterogeneity reveals associations with different forms of genomic instability

Zenodo (CERN European Organization for Nuclear Research)

Computational tools to detect signatures of mutational processes in DNA from tumours: A review and empirical comparison of performance

Mutation Signatures Including APOBEC in Cancer Cell Lines

Assigning mutational signatures to individual samples and individual somatic mutations with SigProfilerAssignment

bioRxiv : the preprint server for biology

Cellular and Molecular Architecture of Hematopoietic Stem Cells and Progenitors in Genetic Models of Bone Marrow Failure

Cutaneous Adnexal Adenocarcinoma: Genomic Analysis and Successful HER2-targeted Therapy of Metastatic Disease

The cytidine deaminase APOBEC3G drives cancer mutagenesis and clonal evolution in bladder cancer

A comprehensive comparison of tools for fitting mutational signatures


A global, black box optimization engine for real world metric optimization.

A Tutorial on Bayesian Optimization

AutoML: A survey of the state-of-the-art

Evolutionary Neural AutoML for Deep Learning

Implementing AutoML in Educational Data Mining for Prediction Tasks

Pulmonary COVID-19: Learning Spatiotemporal Features Combining CNN and LSTM Networks for Lung Ultrasound Video Classification

A Stratified Analysis of Bayesian Optimization Methods

HyperNOMAD: Hyperparameter optimization of deep neural networks using mesh adaptive direct search

Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA

IEEE Transactions on Automation Science and Engineering

Rocketsled: a software library for optimizing high-throughput computational searches

Auto-tuning TensorFlow Threading Model for CPU Backend


CarveMe: genome-scale metabolic model reconstruction

Fast automated reconstruction of genome-scale metabolic models for microbial species and communities

A systematic assessment of current genome-scale metabolic reconstruction tools

Constraint-Based Reconstruction and Analyses of Metabolic Models: Open-Source Python Tools and Applications to Cancer

A conserved interdomain microbial network underpins cadaver decomposition despite environmental variables

State-of the-Art Constraint-Based Modeling of Microbial Metabolism: From Basics to Context-Specific Models with a Focus on Methanotrophs


I-MAD: Interpretable malware detector using Galaxy Transformer

Cryptographic Software IP Protection without Compromising Performance or Timing Side-channel Leakage

ACM Transactions on Architecture and Code Optimization (TACO)

Code Obfuscation for the C/C++ Language

Evaluation Methodologies in Software Protection Research


Pre-trained models for natural language processing: A survey

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

CTRL: A Conditional Transformer Language Model for Controllable Generation

Plug and Play Language Models: A Simple Approach to Controlled Text Generation

Authorship Attribution for Neural Text Generation

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

TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation

Aspirations and Practice of Model Documentation: Moving the Needle with Nudging and Traceability

Learning to Express in Knowledge-Grounded Conversation

Constrained Language Models for Interactive Poem Generation

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

An Empirical Study on the Bugs Found while Reusing Pre-trained Natural Language Processing Models


Paint by Example: Exemplar-based Image Editing with Diffusion Models

TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition

Designing a Better Asymmetric VQGAN for StableDiffusion

LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept
  Customization in Training-Free Diffusion Models


Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Attention Is All You Need

Squeeze-and-Excitation Networks

CBAM: Convolutional Block Attention Module

Dual Attention Network for Scene Segmentation

ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

Selective Kernel Networks

MLP-Mixer: An all-MLP Architecture for Vision

RepVGG: Making VGG-style ConvNets Great Again

BAM: Bottleneck Attention Module

CoAtNet: Marrying Convolution and Attention for All Data Sizes


A Toolkit for Using EnergyPlus in R.

eplusr: A framework for integrating building energy simulation and data-driven analytics


Workflows and interfaces for neuroimaging packages

Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python

A cortical surface-based geodesic distance package for Python

Simultaneous EEG-fMRI during a neurofeedback task, a brain imaging dataset for multimodal data integration

On Distribution Shift in Learning-based Bug Detectors

Simultaneous MRI-EEG during a motor imagery neurofeedback task: an open access brain imaging dataset for multi-modal data integration

From the Wet Lab to the Web Lab: A Paradigm Shift in Brain Imaging Research

External Validation of a Convolutional Neural Network for IDH Mutation Prediction

Altered Spontaneous Brain Activity in Subjects With Different Cognitive States of Biologically Defined Alzheimer's Disease: A Surface-Based Functional Brain Imaging Study

PyHRF: A Python Library for the Analysis of fMRI Data Based on Local Estimation of the Hemodynamic Response Function

Proceedings of the 16th Python in Science Conference


The Roslyn .NET compiler provides C# and Visual Basic languages with rich code analysis APIs.

Learning to Represent Programs with Graphs

Learning Syntactic Program Transformations from Examples

A General Path-Based Representation for Predicting Program Properties

Towards the quality improvement of cross-platform mobile applications

Software Module Clustering: An In-Depth Literature Analysis

Cross-language code search using static and dynamic analyses

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

KT-BT: A Framework for Knowledge Transfer Through Behavior Trees in Multirobot Systems

Automated Isolation for White-box Test Generation

Tolerant parsing with a special kind of «Any» symbol: the algorithm and practical application

Труды Института системного программирования РАН

Modelling of Language Syntax and Semantics: The Case of the Assembler Compiler


Pyramid Stereo Matching Network (CVPR2018)

Pyramid Stereo Matching Network

Learning for Disparity Estimation through Feature Constancy

Learning Depth with Convolutional Spatial Propagation Network

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching

SERV-CT: A disparity dataset from cone-beam CT for validation of endoscopic 3D reconstruction

I2P-Rec: Recognizing Images on Large-scale Point Cloud Maps through Bird's Eye View Projections

SDF-MAN: Semi-Supervised Disparity Fusion with Multi-Scale Adversarial Networks

UDFNet: Unsupervised Disparity Fusion with Adversarial Networks

Disparity Estimation Networks for Aerial and High-Resolution Satellite Images: A Review

An evaluation of Deep Learning based stereo dense matching dataset shift from aerial images and a large scale stereo dataset

International Journal of Applied Earth Observation and Geoinformation


[ICLR 2024 Oral] Generative Gaussian Splatting for Efficient 3D Content Creation

DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation

DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling

MicroDreamer: Efficient 3D Generation in ∼20 Seconds by Score-based Iterative Reconstruction