This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning in python.

3D U-Net model for volumetric semantic segmentation written in pytorch

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Segmentation models with pretrained backbones. PyTorch.

I will upload many semantic segmentation models to this repository for you to learn

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

《统计学习方法》的代码实现

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

吴恩达老师的机器学习课程个人笔记

A list of all public EEG-datasets

Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop

机器学习算法的公式推导以及numpy实现

🤘 awesome-semantic-segmentation

SOTA medical image segmentation methods based on various challenges

TensorFlow 最佳学习资源大全（含课程、书籍、博客、公开课等内容）

PRML algorithms implemented in Python

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

All Algorithms implemented in Python

Code for DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation

Paper and implementation of UNet-related model.

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Deep learning software to decode EEG or MEG signals

Python - 100天从新手到大师

Code for 1st Place Solution in Intracranial Hemorrhage Detection Challenge @ RSNA2019

Medical image processing in Python

DeepBleed: 3D Volumetric Intracranial Hemorrhage Segmentation for Clinical Trials

A collection of awesome resources in Human Pose estimation.