This project provides procedures and functions to support machine learning applications with Neo4j.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

fast.ai Courses

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

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Minimal and clean examples of machine learning algorithms

Exercises for the Deep Learning textbook at www.deeplearningbook.org

The "Python Machine Learning" book code repository and info resource

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive lea…

Notebooks and code for the book "Introduction to Machine Learning with Python"

📝 An awesome Data Science repository to learn and apply for real world problems.

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Python Quick Reference

hotel available rooms sampling

Code that goes along with my screencasts.

The https://FreeCodeCamp.com open source codebase and curriculum. Learn to code and help nonprofits.

Simple tutorials using Google's TensorFlow Framework

Cracking the Coding Interview 6th Ed. Solutions

Repo for U of Miami course on interactive vis.

General Assembly's Data Science course in Washington, DC

Code for the Kaggle Ensembling Guide Article on MLWave

The Scala programming language

A powerful charting and visualization library for browser

Public material for CS109