manantomar

coding-interview-university

A complete computer science study plan to become a software engineer.

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

apollo

An open autonomous driving platform

pysc2

StarCraft II Learning Environment

self-driving-car

The Udacity open source self-driving car project

research

dataset and code for 2016 paper "Learning a Driving Simulator"

s2client-proto

StarCraft II Client - protocol definitions used to communicate with StarCraft II.

awesome-ai-residency

List of AI Residency Programs

coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Minigrid

Simple and easily configurable grid world environments for reinforcement learning

rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

requests-for-research

A living collection of deep learning problems

homework

Assignments for CS294-112.

DeepRLHacks

Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)

batch-ppo

Efficient Batched Reinforcement Learning in TensorFlow

playground

PlayGround: AI Research into Multi-Agent Learning.

mflux

A MLX port of FLUX based on the Huggingface Diffusers implementation.

lecun1989-repro

Reproducing Yann LeCun 1989 paper "Backpropagation Applied to Handwritten Zip Code Recognition", to my knowledge the earliest real-world application of a neural net trained with backpropagation.

papers

Collection of papers

mazelab

A customizable framework to create maze and gridworld environments

dynamics

A Compositional Object-Based Approach to Learning Physical Dynamics

easy-tf-log

Easy TensorFlow logging for quick prototypes

faster-trajectory-transformer

Implementation of Trajectory Transformer with attention caching and batched beam search

GRBM

Gaussian-Bernoulli Restricted Boltzmann Machines

adios

Mirror-Descent-Policy-Optimization

Mirror Descent Policy Optimization

pixel-representations-RL

This repository is a collection of widely used self-supervised auxiliary losses used for learning representations in reinforcement learning.

Multi-step-Greedy-Reinforcement-Learning-Algorithms

Multi-step Greedy Reinforcement Learning Algorithms

RLexperiments