All Projects → aidenyg → GTAV-Self-driving-car

aidenyg / GTAV-Self-driving-car

Licence: MIT License
Self driving car in GTAV with Deep Learning

Programming Languages

Jupyter Notebook
11667 projects
python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to GTAV-Self-driving-car

GTAV-Self-driving-car
Self driving car in GTAV with Deep Learning
Stars: ✭ 15 (-54.55%)
Mutual labels:  recurrent-neural-networks, self-driving-car
rnn-from-scratch
A Recurrent Neural Network implemented from scratch (using only numpy) in Python.
Stars: ✭ 62 (+87.88%)
Mutual labels:  recurrent-neural-networks
airsim ros
AirSim ROS packages: modified ros wrapper for airsim, and some vslam related tools. (Mainly focused on Car SimMode)
Stars: ✭ 28 (-15.15%)
Mutual labels:  self-driving-car
urban road filter
Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗
Stars: ✭ 134 (+306.06%)
Mutual labels:  self-driving-car
Swayam-Self-Driving-Car
This is an implementation of various algorithms and techniques required to build a simple Self Driving Car. A modified versions of the Udacity Self Driving Car Simulator is used as a testing environment.
Stars: ✭ 17 (-48.48%)
Mutual labels:  self-driving-car
deeptrolldetector
Deep troll uses a deep learning model that identifies whether an audio contains the Gemidao troll (AAAWN OOOWN NHAAA AWWWWN AAAAAH).
Stars: ✭ 20 (-39.39%)
Mutual labels:  recurrent-neural-networks
GoogleHashCode2018
Solutions to Google HashCode 2018
Stars: ✭ 14 (-57.58%)
Mutual labels:  self-driving-car
ai-visual-storytelling-seq2seq
Implementation of seq2seq model for Visual Storytelling Challenge (VIST) http://visionandlanguage.net/VIST/index.html
Stars: ✭ 50 (+51.52%)
Mutual labels:  recurrent-neural-networks
learning-to-drive-in-5-minutes
Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes
Stars: ✭ 227 (+587.88%)
Mutual labels:  self-driving-car
RCAutopilot
Autonomous RC Car powered by a Convoluted Neural Network implemented in Python with Tensorflow
Stars: ✭ 35 (+6.06%)
Mutual labels:  self-driving-car
Waymo Kitti Adapter
A tool converting Waymo dataset format to Kitti dataset format.
Stars: ✭ 83 (+151.52%)
Mutual labels:  self-driving-car
dts
A Keras library for multi-step time-series forecasting.
Stars: ✭ 130 (+293.94%)
Mutual labels:  recurrent-neural-networks
self-driving-car-simulator
The core technology behind Self Driving Cars today.
Stars: ✭ 17 (-48.48%)
Mutual labels:  self-driving-car
lyrics-generator
Generating lyrics with a recurrent neural network
Stars: ✭ 36 (+9.09%)
Mutual labels:  recurrent-neural-networks
ROS-GPS
GPS Localization with ROS, OSM and rviz
Stars: ✭ 19 (-42.42%)
Mutual labels:  self-driving-car
road-simulator
🛣️ Easy-to-use road simulator for little self-driving cars
Stars: ✭ 23 (-30.3%)
Mutual labels:  self-driving-car
Singing-Voice-Separation-RNN
Singing-Voice Separation From Monaural Recordings Using Deep Recurrent Neural Networks
Stars: ✭ 44 (+33.33%)
Mutual labels:  recurrent-neural-networks
CarND-LaneLines-P1
First Project Udacity's Self-Driving NanoDegree
Stars: ✭ 23 (-30.3%)
Mutual labels:  self-driving-car
python-machine-learning-book-2nd-edition
<머신러닝 교과서 with 파이썬, 사이킷런, 텐서플로>의 코드 저장소
Stars: ✭ 60 (+81.82%)
Mutual labels:  recurrent-neural-networks
BtcDet
Behind the Curtain: Learning Occluded Shapes for 3D Object Detection
Stars: ✭ 104 (+215.15%)
Mutual labels:  self-driving-car

GTAV-Self-driving-car

Self driving car in Grand Theft Auto V with Deep Learning.

Demonstrations:

Highlights video Driving video

Authors:

Iker García Ferrero - ikergarcia1996
Eritz Yerga Gutierrez - eritzyg

How to run:

Please read the README.md file included in the Notebook directory.

Documentation:

Documentation is available in the releases section with the corresponding release.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].