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

🤘 awesome-semantic-segmentation

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

A delightful community-driven (with 1,300+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc…

推荐系统综述

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

百度网盘不限速下载 支持Windows和Mac 2018年1月16日更新

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

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

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

中文技术文档的写作规范

Twitter's Effective Scala Guide

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

A collection of popular Data Science Competitions

A Web Deployment Tool (web代码部署工具)

Stochastic Gradient MCMC Methods for Tensorflow

算法导论第三版Python/C++实现

算法/数据结构/Python/剑指offer/机器学习/leetcode

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

https://cn.udacity.com/course/deep-learning-nanodegree-foundation--nd101/

A technical report on convolution arithmetic in the context of deep learning

An implementation of Grad-CAM with keras

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

Python + Tensorflow code for the Master's thesis: Deep Generative Models for Predicting Alzheimer's Disease Progression from MR Data

《剑指Offer》面试题Python实现

tensorflow implementation of Grad-CAM (CNN visualization)