A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications

Paper and implementation of UNet-related model.

High-resolution representation learning (HRNets) for Semantic Segmentation

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

Deep Back-Projection Networks for Super-Resolution (Winner of NTIRE2018 and PIRM2018)

A paper list of object detection using deep learning.

A python library for medical image processing, built by the medical imaging group of Dalian Univerisity of Technology, China

Gluon CV Toolkit

Image augmentation library in Python for machine learning.

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

Awesome Crowd Counting

Open MMLab Detection Toolbox

Matlab code for machine learning algorithms in book PRML

Basic Super-Resolution codes for development. Includes ESRGAN, SFT-GAN for training and testing.

《统计学习方法》的代码实现

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018)

unet for image segmentation

A collection of high-impact and state-of-the-art SR methods

A curated list of awesome computer vision resources

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

Repository for different network models related to flow/disparity (ECCV 18)

List of satellite imagery datasets with annotations for computer vision and deep learning

The classical paper list with code about generative adversarial nets

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

吴恩达老师的机器学习课程个人笔记

PANet for Instance Segmentation and Object Detection

3D Unet Equipped with Advanced Deep Learning Methods

3D Unet for Isointense Infant Brain Image Segmentation