hewind1992's repositories
100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
60_Days_RL_Challenge
Learn Deep Reinforcement Learning in depth in 60 days
aoapc-bac2nd
Source codes for book <<<BeginningAlgorithmContests>> Second edition
books
"我的阅历"
brains
λ Ghosts in the Shell λ: Function Composition in a Network of Brains
building-a-multibranch-pipeline-project
For an advanced tutorial on how to use Jenkins to build a multibranch Pipeline project with selectively executed stages.
CLRS-1
📚Solutions to Introduction to Algorithms Third Edition
DeepLearning-500-questions
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，近30万字。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
DeepPavlov
An open source library for deep learning end-to-end dialog systems and chatbots.
Golang_Puzzlers
An example project, for my column named "Core Golang - 36 lessons"
jvmgo-book
《自己动手写Java虚拟机》源代码
Kaggle_TGS2018_4th_solution
Kaggle TGS Salt Identification Challenge 2018 4th place code
Keras-GAN
Keras implementations of Generative Adversarial Networks.
keras-rl
Deep Reinforcement Learning for Keras.
learnhaskell
Learn Haskell
MIT-6.824
Basic Sources for MIT 6.824 Distributed Systems Class
MIT-6.824-2016
MIT 6.824 2016
ML-From-Scratch
Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
nginx
An official read-only mirror of http://hg.nginx.org/nginx/ which is updated hourly. Pull requests on GitHub cannot be accepted and will be automatically closed. The proper way to submit changes to nginx is via the nginx development mailing list, see http://nginx.org/en/docs/contributing_changes.html
nlp_course
YSDA course in Natural Language Processing
os-tutorial
How to create an OS from scratch
Python
All Algorithms implemented in Python
pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
simple-python-pyinstaller-app
For an introductory tutorial on how to use Jenkins to build a simple Python application with PyInstaller.
stanford-CS229-1
This repository provides python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
USTC-CS-Courses-Resource
:heart:**科学技术大学计算机学院课程资源(https://mbinary.coding.me/ustc-cs/)