danieland2015 Goto Github PK

2

利用requests和lxml爬取妹子图片网

abu

阿布股票量化系统

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

book

学习笔记

convolutional-lstm-in-tensorflow

An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

coursera-ml-py

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

courseraml

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

cplusplusthings

C++那些事

data-analysis

Data Analysis Using Python

data-science-ipython-notebooks

Recently updated with 50 new 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.

dawp

Derivatives Analytics with Python (Wiley Finance)

deep-learning-with-python-notebooks

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

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15个章节，近20万字。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-models

A collection of various deep learning architectures, models, and tips

deeplearningnotes

机器学习和量化分析学习进行中

deeplearningnotes-1

《深度学习》花书手推笔记

doing_data_science

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

dstrading

Digital Signal Trading (John Ehlers indicators)

esl-cn

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

github-chinese-top-charts

:cn: GitHub中文排行榜，帮助你发现高分优秀中文项目、更高效地吸收国人的优秀经验成果；榜单每周更新一次，敬请关注！

hands-on-machine-learning-with-sklearn-tensorflow

hands-on-reinforcement-learning-with-python

Hands-On Reinforcement Learning with Python, published by Packt

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-ml

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

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.

id3-decision-tree

A MATLAB implementation of the ID3 decision tree algorithm for EECS349 - Machine Learning

iktrading

Ilya Kipnis's miscellaneous quantstrat extensions, indicators, and order-sizing functions.

intermediatepython