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100-days-of-ml-code

100-Days-Of-ML-Code中文版

500lineorless_cn

500 line or less 中文翻译计划。

500lines

500 Lines or Less

6.824-2017

:zap: 6.824: Distributed Systems (Spring 2017). A course which present abstractions and implementation techniques for engineering distributed systems.

60_days_rl_challenge

Learn Deep Reinforcement Learning in depth in 60 days

acm-cheat-sheet

Acm Cheat Sheet

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

algorithm-essentials

算法精粹--举一反三，抛弃题海战术

aoapc-bac2nd

Source codes for book <<<BeginningAlgorithmContests>> Second edition

awesome-deep-learning-papers

The most cited deep learning papers

book

个人认为对技术提升很不错的书

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

:notebook:Solutions to Introduction to Algorithms

clrs-1

📚Solutions to Introduction to Algorithms Third Edition

codeforce_code

a test of the learing of git

competitive-programming

my foray into the world of competitive programming

cs231n_spring_2017_assignment

My implementations of cs231n 2017

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-coursera-1

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

deep-rl-tensorflow

TensorFlow implementation of Deep Reinforcement Learning papers

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[email protected] 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.

dml

D's Machine Learning is a machine learning toolkit for python,focus on rightness but efficiency

dsal