beckswu / Natural Language Processing

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

A Tensorflow 2.0 implementation of Graph Isomorphism Networks.

📈 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.

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

Implementation of different techniques to find insights from the satellite data using Python.

Automated dynamical systems inference

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

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

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

Heterogeneous Multi-output Gaussian Processes

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

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

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

Build a recommendation engine with Spark and Watson Machine Learning

Convert text file to handwritten pdf file

Boilerplate for Deep Learning Projects