Alestainer

marl

Multi-Agent RL

r-course

Course on R for Data Analysis and Visualization

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

alestainer.github.io

berkeley-rl-class

Cirq

A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

some-puzzles

tf-stanford-tutorials

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

universe

Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.

DeepRL-Agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

dfp

Reinforcement Learning with Goals

dockerized-scraper

ec_mini_project

ICS 674 Mini-project

econ_629

Homework for the Econometrics class

ECON_670

fsdl-text-recognizer-project

incubator_project_proposal

intro_to_sprinting

Resources dedicated to introducing folks to open source sprints

node-rest-api

Training to build REST API

numpy_magic

Speeding up your Python computations using NumPy

oreilly-rl-tutorial

Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.

sbt-2016

scikit-learn

scikit-learn: machine learning in Python

screst

tensorflow

Computation using data flow graphs for scalable machine learning

TF-Tutorials

A collection of deep learning tutorials using Tensorflow and Python