pinweihelai

pinweihelai's Stars

• JacksonTian/fks

  前端技能汇总 Frontend Knowledge Structure

  Language:JavaScript17.9k4.6k

• rougier/numpy-100

  100 numpy exercises (with solutions)

  Language:Python12.3k5.8k

• getlantern/lantern-binaries-archive

  Lantern installers binary downloads.

  Language:Shell2.8k733

• datasciencemasters/go

  The Open Source Data Science Masters

  25.1k6.2k

• dive-into-machine-learning/dive-into-machine-learning

  Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)

  11.3k1.9k

• ChristosChristofidis/awesome-deep-learning

  A curated list of awesome Deep Learning tutorials, projects and communities.

  24.5k6.1k

• dayeren/Machine-Learning

  3221

• fenbf/AwesomePerfCpp

  A curated list of awesome C/C++ performance optimization resources: talks, articles, books, libraries, tools, sites, blogs. Inspired by awesome.

  Language:CSS2.4k256

• microsoft/LightGBM

  A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

  Language:C++16.8k3.8k

• microsoft/DMTK

  Microsoft Distributed Machine Learning Toolkit

  2.7k558

• ycjuan/kaggle-2014-criteo

  Language:C++1.3k624

• tqchen/xgboost

  https://github.com/dmlc/xgboost

  Language:C++572261

• loli/sklearnef

  Decision forest extentions for sklearn.

  Language:Python11

• Luke3D/SSRF

  Semi supervised Random Forest project

  Language:Matlab95

• balajiln/mondrianforest

  Code for Mondrian Forests (for classification and regression)

  Language:Python26277

• isocpp/CppCoreGuidelines

  The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

  Language:CSS43k5.4k

• amirsaffari/online-random-forests

  Online Random Forests

  Language:C++8836

• qiyiping/gbdt

  Language:C++9369

• wepe/MachineLearning

  Basic Machine Learning and Deep Learning

  Language:Python5.3k3.2k

• mtaxot/adaboost-trading-system

  An trading system basing on adaboost algorithm using weak classifiers assembled to predict.

  Language:C++189