hiffman

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-machine-learning-cn

机器学习资源大全中文版，包括机器学习领域的框架、库以及软件

awesome-mlops

:sunglasses: A curated list of awesome MLOps tools

awesome-python-cn

Python资源大全中文版，内容包括：Web框架、网络爬虫、网络内容提取、模板引擎、数据库、数据可视化、图片处理、文本处理、自然语言处理、机器学习、日志、代码分析等

benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

caffe

Caffe: a fast open framework for deep learning.

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

DataWarehouse

数据仓库

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn

docker

Docker - the open-source application container engine

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

keras-cn

Just Keras-CN version with more examples, explanations and tips

Lasagne

Lightweight library to build and train neural networks in Theano

Mywork

Mywork

nvd3

A reusable chart library for d3.js

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pydata-book

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

recharts

An R Interface to Baidu ECharts2 Library

scikit-learn-doc-cn

scikit-learn机器学习库中文文档翻译项目

shiny

Easy interactive web applications with R

shiny-examples

shinyApp

shiny案例学习

sklearn_pycon2015

Materials for my Pycon 2015 scikit-learn tutorial.

spark

Mirror of Apache Spark

sparkit-learn

PySpark + Scikit-learn = Sparkit-learn

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-zh

谷歌全新开源人工智能系统TensorFlow官方文档中文版

Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow