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-python-2-

100-days-of-ml-code

100 Days of ML Coding

a-stock-prediction-algorithm-based-on-machine-learning

（陆续更新）重新整理过的基于机器学习的股票价格预测算法，里面包含了基本的回测系统以及各种不同的机器学习算法的股票价格预测，包含：LSTM算法、Prophet算法、AutoARIMA、朴素贝叶斯、SVM、随机森林等

ai_books

algorithm-x-gorgon-tik-tok

Algorithm generate Tik Tok X-Gorgon and X-Khronos

algorithm_interview_notes-chinese

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

asyncio_cookbook

Recipes for mastering asyncio programming with Python

awesome-python-login-model

😮python模拟登陆一些大型网站，还有一些简单的爬虫，希望对你们有所帮助❤️，如果喜欢记得给个star哦🌟

blockchain

黑马程序员 120天全栈区块链开发 开源教程

boilerpipe

Work in progress transmit from Google Code

cpp-primer-plus-6th

《C++ Primer Plus 第6版（中文版）》原书代码、习题答案和个人笔记，仅供学习和交流。

ddia

《Designing Data-Intensive Application》DDIA中文翻译

deep-learning-in-python

Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0

deep-learning-with-python-notebooks

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

deep-residual-networks

Deep Residual Learning for Image Recognition

deeplearning

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

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deepreco

doing_data_science

This is the example code repository for Doing Data Science by Cathy O'Neil and Rachel Schutt (O'Reilly Media)

element

A Vue.js 2.0 UI Toolkit for Web

face_recognition

The world's simplest facial recognition api for Python and the command line

fuck-xuexiqiangguo

学习强国 懒人刷分工具 自动学习

git-tips

:trollface:Git的奇技淫巧

gpt4free

decentralising the Ai Industry, just some language model api's...

halo

好用又强大的开源建站工具。

hands_on_ml_with_sklearn_and_tf

OReilly Hands On Machine Learning with Scikit Learn and TensorFlow (Sklearn与TensorFlow机器学习实用指南)

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hangzhouyunqi2017ppt

hello-world

A start on GitHub