Aitor Ruano

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.

MAgent. A Platform for Many-Agent Reinforcement Learning

linsa.io. Work. Save. Share. Privately.

pytorch-CycleGAN-and-pix2pix. Image-to-Image Translation in PyTorch

carla. Open-source simulator for autonomous driving research.

referendum_cat_mirror. Mirror de la web www.referendum.cat (www.ref1oct.eu)

referendum_1o_android. Aplicació no oficial del referèndum d'autodeterminació de Catalunya de l'1 d'octubre del 2017.

SantosNet. A simple self driving car in GTAV that uses the Xception deep neural network model with DeepGTAV

PySyft. Perform data science on data that remains in someone else's server

ssd.pytorch. A PyTorch Implementation of Single Shot MultiBox Detector

baselines. OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

awesome-ml-for-cybersecurity. :octocat: Machine Learning for Cyber Security

self-driving-car. The Udacity open source self-driving car project

darkflow. Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

caffe2. Caffe2 is a lightweight, modular, and scalable deep learning framework.

DIGITS. Deep Learning GPU Training System

caffe. Caffe: a fast open framework for deep learning.

TopDeepLearning. A list of popular github projects related to deep learning

GA3C. Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.

Autopilot-TensorFlow. A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes

oscc. Open Source Car Control 💻🚗🙌

sdc_challenge_1. SDC Challenge 1 code repository

async_deep_reinforce. Asynchronous Methods for Deep Reinforcement Learning

gym. A toolkit for developing and comparing reinforcement learning algorithms.