深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

A complete computer science study plan to become a software engineer.

Command & Conquer: Remastered Collection

A deep learning framework for molecular docking

Scripts for assisting in modeling quantitative structure activity relationships from 2D chemical data

Protein target prediction using random forests and reliability-density neighbourhood analysis

Keras implementation of NNScore described in "Soft Computing Tools for Virtual Drug Discovery" by Daniel M Hagan and Martin T Hagan

Tensorflow implementation of "DeepDTA deep drug-target binding affinity prediction"

Deep learning-based drug-target interaction prediction / Deep belief net (DBN) based on Theano

Open Drug Discovery Toolkit

fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

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

互联网上的免费书籍

📡 Simple and ready-to-use tutorials for TensorFlow

My Python Examples

Bilibili 公开课目录

桌面版脑图 (百度脑图离线版，思维导图) 跨平台支持 Windows/Linux/Mac OS. (A cross-platform multilingual Mind Map Tool)

🌈谷粒-Chrome插件英雄榜, 为优秀的Chrome插件写一本中文说明书, 让Chrome插件英雄们造福人类~ ChromePluginHeroes, Write a Chinese manual for the excellent Chrome plugin, let the Chrome plugin heroes benefit the human~ 公众号「0加1」同步更新

Python Data Science Handbook: full text in Jupyter Notebooks

史上最大规模1.4亿中文知识图谱开源下载

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。

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

数据科学的笔记以及资料搜集

OpenMM is a toolkit for molecular simulation using high performance GPU code.

All Algorithms implemented in Python