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atari

1-step Q Learning from the paper "Asynchronous Methods for Deep Reinforcement Learning"

awesome-deep-rl

This project is for learning and researching on Deep RL. Maintained by University AI researchers.

blog

carnd-advanced-lane-lines

deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

deye

Keep an Eye on Defects Inspection.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

faster-rcnn-tensorflow-python3.5

Tensorflow Faster R-CNN for Windows and Python 3.5

flow

Computational framework for reinforcement learning in traffic control

from-python-to-numpy

An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017

fwdeng.github.io

g6_save_svg

Save G6 graphs as SVG files.

github

gpsproj

A customized GPS receiver based on Raspberry Pi.

keras-rl

Deep Reinforcement Learning for Keras.

lightnet

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

occlusion_net

Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks

odpfm

reinforce

Codes and notes about reinforcement learning.

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

self-driving-car

Udacity Self-Driving Car Engineer Nanodegree projects.

sumo

SUMO is an open source, highly portable, microscopic and continuous road traffic simulation package designed to handle large road networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.

sumo-doc

My own notes about SUMO

sumo-web3d

Web-based 3D visualization of SUMO microsimulations using TraCI and three.js.

trafficassignment.jl

Julia package for finding traffic user equilibrium flow

transportationnetworks

Transportation Networks for Research

ufstc

yolov3_pytorch

Full implementation of YOLOv3 in PyTorch