Code from the Pearson Addison-Wesley book Machine Learning with Python for Everyone

Build a recommendation engine with Spark and Watson Machine Learning

A Machine Learning approach for classifying a file as Malicious or Legitimate

stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables

Heterogeneous Multi-output Gaussian Processes

Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.

Convert text file to handwritten pdf file

WARP loss for Pytorch as described by the paper: WSABIE: Scaling Up To Large Vocabulary Image Annotation

DEPRECATED- see https://github.com/OpenMined/OpenMined or https://github.com/OpenMined/PySyft

一份不断完善的NLP学习笔记

📈 A neural network regression model trained to predict the mean stock price percentage change everyday using financial factors like previous close price, actual previous close price, open price, market capitalization, total market value, price-to-earning ratio and price-to-book ratio, along with corresponding Sina Weibo and Baidu News sentiment scores.

Boilerplate for Deep Learning Projects

A Tensorflow 2.0 implementation of Graph Isomorphism Networks.

A collection of notebooks of my Machine Learning class written in python 3

Automated dynamical systems inference

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators