boomLuo

Awesome-Image-Inpainting

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

Awesome-Super-Resolution

A curated list of awesome super-resolution resources.

catalyst

Accelerated DL R&D

clicr

Machine reading comprehension on clinical case reports

deepvariant

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

FCN.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

FPN_Tensorflow

A Tensorflow implementation of FPN detection framework.

GNNPapers

Must-read papers on graph neural networks (GNN)

Image2Text

截取图片并识别出图片的文字

imgaug

Image augmentation for machine learning experiments.

KRLPapers

Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)

lung3d

MachineLearning

Machine learning resources

mAP

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mmdetection

Open MMLab Detection Toolbox with PyTorch

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Obj-GAN

Obj-GAN - Official PyTorch Implementation

Object-Detection-Metrics

Most popular metrics used to evaluate object detection algorithms

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

Self-Supervised-Learning-Overview

Self-Supervised Learning: Reading List with Topics.

tensorflow

Computation using data flow graphs for scalable machine learning

TensorFlow-Course

Simple and ready-to-use tutorials for TensorFlow

tf-faster-rcnn

Tensorflow Faster RCNN

Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

Tools to Design or Visualize Architecture of Neural Network

torchcv

A PyTorch-Based Framework for Deep Learning in Computer Vision

UNet-family

Paper and implementation of UNet-related model.

vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.