SIXUANREN

SIXUANREN's Stars

• riveSunder/MLPDialects

  Multi Layer Perceptron implemented in 4 different libraries

  Language:Python4

• PacktPublishing/Advanced-Python-Programming-Second-Edition

  Advanced Python Programming, Second Edition, published by Packt

  Language:Jupyter Notebook12888

• mlr-org/mlrMBO

  Toolbox for Bayesian Optimization and Model-Based Optimization in R

  Language:R18747

• GrowingGit/GitHub-Chinese-Top-Charts

  :cn: GitHub中文排行榜，各语言分设「软件 | 资料」榜单，精准定位中文好项目。各取所需，高效学习。

  Language:Java99.5k13.2k

• betanalpha/jupyter_case_studies

  Inference case studies in jupyter

  Language:Jupyter Notebook9220

• mission-peace/interview

  Interview questions

  Language:Java11.1k5.2k

• guoanjie/LeetCode

  Language:C++21

• wesm/pydata-book

  Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

  Language:Jupyter Notebook22.4k15.2k

• SethHWeidman/ODSC_Neural_Nets_11-04-17

  Talk "Deep Learning From Scratch Using Python" delivered at ODSC West on November 4, 2017

  Language:Jupyter Notebook3224

• tdpetrou/Learn-Pandas

  Tutorials on how to use pandas effectively to do data analysis

  Language:Jupyter Notebook1.1k328

• matplotlib/interactive_tutorial

  Interactive Matplotlib tutorial

  Language:Python2921

• marcotcr/lime

  Lime: Explaining the predictions of any machine learning classifier

  Language:JavaScript11.7k1.8k

• atavory/ibex

  Pandas Adapters For Scikit-Learn

  Language:Python537

• nderzsy/PyDataNYC17

  Slides and code repository from my PyData New York 2017 talk

  4

• parsing-science/ps-toolkit

  Parsing Science Toolkit

  Language:Python273

• TomAugspurger/pydata-nyc-ph2t

  PyData NYC 2017: Pandas Head to Tail

  Language:Jupyter Notebook5716

• jmschrei/pomegranate

  Fast, flexible and easy to use probabilistic modelling in Python.

  Language:Python3.4k590