yisun518

PokemonRedExperiments

Playing Pokemon Red with Reinforcement Learning

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

gt_cs7637

CS7637 KBAI notes

machine-learnist

A repository covering my impressions and notes of Udacity's ML nanodegree

PathOfBuilding

Offline build planner for Path of Exile.

MMSUB

存储一些咪梦动漫组（MMSUB）的手抄字幕

pgeocode

Postal code geocoding and distance calculation

d3-book

Code examples for “Interactive Data Visualization for the Web”

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

warped-mixtures

Code for density estimation with nonparametric cluster shapes.

NeuralVerification.jl

Methods to soundly verify deep neural networks

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

How-to-cheat-in-computer-science-101

nelson

Library for submitting code to the Advanced Project Autograder

aima-python

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

aima-pseudocode

Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

ml_soccer

Soccer toy example simulator used in Reinforcement Learning

cvxopt-tutorial

CVXOPT Tutorial

tensorflow-build-archived

TensorFlow binaries supporting AVX, FMA, SSE

DataScience_Interview_Seminar

This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview

ReinforcementLearning

Various python scripts for reinforcement learning algorithms.

hw3-tester

rldm_tutorials

Tutorials for the GA Tech OMSCS RLDM class.

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

models

Models and examples built with TensorFlow

DirectX-Graphics-Samples

This repo contains the DirectX Graphics samples that demonstrate how to build graphics intensive applications on Windows.

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

gdrl

Grokking Deep Reinforcement Learning

gym-http-api

API to access OpenAI Gym from other languages via HTTP

ml-agents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.