JW's repositories
3D-Grad-CAM
This repo contains Grad-CAM for 3D volumes.
3D-Unet--Tensorflow
3D Unet for Isointense Infant Brain Image Segmentation
AdversarialNetsPapers
The classical paper list with code about generative adversarial nets
Attention-Gated-Networks
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
awesome-gan-for-medical-imaging
Awesome GAN for Medical Imaging
coding-interview-university
A complete computer science study plan to become a software engineer.
CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
Deep-Learning-Interview-Book
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
deeplearning-models
A collection of various deep learning architectures, models, and tips
dipy
Diffusion MR imaging in Python
docker-cheat-sheet
Docker Cheat Sheet
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
Generative-Adversarial-Network-Tutorial
Tutorial on creating your own GAN in Tensorflow
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
label-reg
A demo of the re-factored label-driven registration code, based on "Weakly-supervised convolutional neural networks for multimodal image registration"
LovaszSoftmax
Code for the Lovász-Softmax loss (CVPR 2018)
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Medical-image-registration
a project for developing registration tools with convolutional neural networks
Mine_pytorch
MINE: Mutual Information Neural Estimation in pytorch
nndl.github.io
《神经网络与深度学习》 Neural Network and Deep Learning
pix2pix-tensorflow
TensorFlow implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".
pytorch-CycleGAN-and-pix2pix
Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
really-awesome-gan
A list of papers on Generative Adversarial (Neural) Networks
simple-faster-rcnn-pytorch
A simplified implemention of Faster R-CNN that replicate performance from origin paper
tensorflow
Computation using data flow graphs for scalable machine learning
TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos