maymayw

maymayw's Stars

• ThanlonSmith/design-pattern

  Python3实现设计模式，致力于将设计模式的**应用在开发中。创建型模式有：简单工厂模式、工厂方法模式、抽象工厂模式、 建造者模式和单例模式；结构型模式：适配器模式、桥模式、组合模式、外观模式和代理模式；行为型模式：责任链模式、观察者模式、策略模式和模板方法模式。设计模式是对软件设计中普遍存在或反复出向的各种问题所提出的解决方案。每一个设计模式系统地被命名、解释和评价了面向对象系统中一个重要和重复出现的设计。

  13675

• MLNLP-World/MIT-Linear-Algebra-Notes

  MLNLP: Notes for MIT-Linear-Algebra

  3.1k647

• MingchaoZhu/DeepLearning

  Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

  Language:Python6.6k1.3k

• nndl/nndl.github.io

  《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

  Language:HTML17.5k3.6k

• Sophia-11/Machine-Learning-Notes

  周志华《机器学习》手推笔记

  3.6k747

• ljpzzz/machinelearning

  My blogs and code for machine learning. http://cnblogs.com/pinard

  Language:Jupyter Notebook8.4k3.7k

• datawhalechina/pumpkin-book

  《机器学习》（西瓜书）公式详解

  24.2k4.8k

• fengdu78/Data-Science-Notes

  数据科学的笔记以及资料搜集

  Language:Jupyter Notebook8.2k3.1k

• budaLi/-Learning-materials-

  各种学习资料，包括一些百度云视频链接还有pdf资料 --搬运工

  1.4k513

• bluemoonwencong/note-on-ml

  笔记，讨论，

  Language:Jupyter Notebook63

• createmomo/createmomo.github.io

  Language:HTML2812

• NeuronDance/DeepRL

  Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

  2.4k582

• roboticcam/machine-learning-notes

  My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

  Language:Jupyter Notebook8.5k1.7k

• d2l-ai/berkeley-stat-157

  Homepage for STAT 157 at UC Berkeley

  Language:Jupyter Notebook3.7k1.5k

• shenweichen/Coursera

  Quiz & Assignment of Coursera

  Language:Jupyter Notebook876662

• Hack-with-Github/Awesome-Hacking

  A collection of various awesome lists for hackers, pentesters and security researchers

  87k9k

• shuhuai007/Machine-Learning-Session

  5.1k1.1k

• Mikoto10032/DeepLearning

  深度学习入门教程, 优秀文章, Deep Learning Tutorial

  Language:Jupyter Notebook14.8k3.6k

• Vay-keen/Machine-learning-learning-notes

  周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

  7.4k1.9k

• ageron/handson-ml

  ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

  Language:Jupyter Notebook25.2k12.9k

• ddbourgin/numpy-ml

  Machine learning, in numpy

  Language:Python15.8k3.8k

• programthink/books

  【编程随想】收藏的电子书清单（多个学科，含下载链接）

  18.5k3.4k

• dformoso/deeplearning-mindmap

  A mindmap summarising Deep Learning concepts.

  1.7k356

• dformoso/machine-learning-mindmap

  A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

  6.1k1k

• aymericdamien/TensorFlow-Examples

  TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

  Language:Jupyter Notebook43.5k14.9k

• instillai/TensorFlow-Course

  :satellite: Simple and ready-to-use tutorials for TensorFlow

  Language:Jupyter Notebook16.4k3.2k

• princewen/tensorflow_practice

  tensorflow实战练习，包括强化学习、推荐系统、nlp等

  Language:Python6.8k3.3k

• simoninithomas/Deep_reinforcement_learning_Course

  Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

  Language:Jupyter Notebook3.8k1.2k

• openai/spinningup

  An educational resource to help anyone learn deep reinforcement learning.

  Language:Python10.3k2.2k

• LJ147/spinningup

  OpenAI团队的深度强化学习教程中文版

  Language:Python7422