An Open Source Machine Learning Framework for Everyone

Caffe: a fast open framework for deep learning.

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, Dask, Flink and DataFlow

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.

Udacity Self-Driving Car Engineer Nanodegree projects.

📚 C++ and Python solutions with automated tests for Cracking the Coding Interview 6th Edition.

Make a DIY Robotic Mocktails Mixer Powered by the Google Assistant SDK

Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project