JohnleeHIT

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

MedUncertainty

Uncertainty in Medical Image Analysis

3DUnetCNN

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

AdversarialNetsPapers

The classical paper list with code about generative adversarial nets

awesome

😎 Awesome lists about all kinds of interesting topics

awesome-random-forest

Random Forest - a curated list of resources regarding random forest

bdl-benchmarks

Bayesian Deep Learning Benchmarks

ConvCRF

This repository contains the reference implementation for our proposed Convolutional CRFs.

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-with-TensorFlow-book

深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers

dtw

DTW (Dynamic Time Warping) python module

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

gcn

Implementation of Graph Convolutional Networks in TensorFlow

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Keras-GAN

Keras implementations of Generative Adversarial Networks.

medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

MedicalNet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

NSFC-LaTex

PyKinect2

Wrapper to expose Kinect for Windows v2 API in Python

Python

All Algorithms implemented in Python

Python-100-Days

Python - 100天从新手到大师

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

Virgilio

Your new Mentor for Data Science E-Learning.