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autonomous-self-learning-robot-arduino-deep-q-learning-

Autonomous Self-Learning Robot(Arduino + Deep Q Learning)

autorccar

OpenCV Python Neural Network Autonomous RC Car

awesome-super-resolution

A curated list of awesome super-resolution resources.

car-racing-drl

com.wuchuheng.go.serverforstaticfile

compressing-dynamical-systems-atari

This is both an implementation of the paper "Action-Conditional Video Prediction using Deep Networks in Atari Games" and an extension of some of their results

cs230_autnomous_driving

Autonomous driving in TORCS for CS230

deeprl

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

dm_control

The DM Control Suite and Package is a tool for developing and testing reinforcement learning agents for the MuJoCo physics engine.

donkey_rl

Reinforcement Learning Simulator for Donkey Car

dqn_pnn

Deep-Q Networks using a Progressive Neural Network (PNN starter code from odellus)

embeddedcnn

Deploy CNN accelerator in embedded OS using SDSOC and Xilinx Ultrascale+ ZCU102 platform.

gym-duckietown-agent

This is the template for the gym agent.

gym_torcs

huawei2019-with-visualization

华为2019评判器开源（带可视化哟~）

i2a-tf

Imagination Augmented Agents in TensorFlow

kartai

Q-Learning self-driving game car project made in Python with Processing.

keras-adda

This is an implementation of Adversarial Discriminative Domain Adaptation using Keras for the purpose of visualizing the intermediate activations in a variational approximation of total correlation.

lanenet-lane-detection

Implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

learning-to-drive-in-5-minutes

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

midlevel-reps

Code for the paper: Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies. More info on the website!

model-based-atari

An easy to understand implementation of the paper "Model-Based Reinforcement Learning for Atari"

multiview2novelview

An official TensorFlow implementation of "Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence" (ECCV 2018) by Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, and Joseph J. Lim

open-source-rover

A build-it-yourself, 6-wheel rover based on the rovers on Mars!

orb_slam2_ssd_semantic

动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库

planet

Learning Latent Dynamics for Planning from Pixels

posco_backup

pytorch-3d-point-cloud-generation

Pytorch code to construct a 3D point cloud model from single RGB image.

pytorch-adda

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行