BboyT

vmoe

PyHEP-resources

Python libraries of interest to particle physicists. This is meant for educational purposes.

TomoPhantom

Software to generate 2D/3D/4D analytical phantoms and their Radon transforms (parallel beam) for image processing

maskrcnn-benchmark

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

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-learning-models

Keras code and weights files for popular deep learning models.

PaddleHub

Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)【安全加固，暂停交互，请耐心等待】

keras

Deep Learning for humans

Dr.Sure

🏫DeepLearning学习笔记以及Tensorflow、Pytorch的使用心得笔记。Dr. Sure会不定时往项目中添加他看到的最新的技术，欢迎批评指正。

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

google-research

Google Research

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

Swin-Unet

[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

medical-data

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

COVID-Net

COVID-Net Open Source Initiative

SimpleITK-Notebooks

Jupyter notebooks for learning how to use SimpleITK

age_prediction

Tensorflow implementation of 3D CNN for brain age prediction from MRI

3D-brain-segmentation

This is a repository containing code to Paper "Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation" published at MDPI Applied sciences journal - https://www.mdpi.com/2076-3417/9/3/404 .

dataset

医学影像数据集列表 『An Index for Medical Imaging Datasets』

DeepBrainSeg

Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks

Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks

Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of patients through deep neural networks.

3D-image-classification-tutorial

Tutorial to train a 3D CNN to predict presence of pneumonia from CT scans.

nnUNet

imagepy

Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy