Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton

Behavioral "black-box" testing for recommender systems

Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch

Sample code for building an end-to-end instant search solution

Custom Search Experience

Cracking the Coding Interview 6th Ed. Python Solutions

Codes of our paper: "BSN: Boundary Sensitive Network for Temporal Action Proposal Generation"

Python bindings for the Openpose library

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

A TensorFlow recommendation algorithm and framework in Python.

Matrix Factorization augmented with customer item meta data

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

This is an introduction to tensorflow

Models and examples built with TensorFlow

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Oxford Deep NLP 2017 course

A curated list of games that can teach you how to learn a programming language.

Python interface to Boilerpipe, Boilerplate Removal and Fulltext Extraction from HTML pages

An open source toolkit for mining Wikipedia

🎓 Path to a free self-taught graduation in Computer Science

Everything you need to prepare for your technical interview

Python Client for Instagram API