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kendricktan

suiron

Machine Learning for RC Cars.

Model DevelopmentArchitectureDomain-specific trainingPython
Open on GitHub
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+0stars in 24 hours0.0%
710
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77
Forks
+0
This week
2
Contributors
Created 2016-09-13 · Updated 2026-09-01 · #14707 today
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kendricktanjabelone

kendricktan/suiron is ranked 14,707 with 710 stars.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguagePython
CategoryModel Development
SubcategoryArchitecture, Domain-specific training
KeywordsAutonomous vehicles
Stars710
Forks77
Contributors2
Created date2016-09-13
Updated date2026-09-01
Stars in 1 day0
Stars in 7 days0
Rank14,707
Previous rank14,551
Rank change-156
7-day stars rank14,613
Previous 7-day stars rank14,623
7-day stars rank change10
Total stars rank14,734
Previous total stars rank14,708
Total stars rank change-26
README summary

Suiron Machine Learning for RC Cars Prediction visualization (green = actual, blue = prediction) Click the video below to see it in action! 7__ was chosen as it was supported by all the libraries used at the time Collecting data Visualizing collected data Training data Visualizing predicted data References Blog Post detailing how the hardware and software communicate - Communicating between RC Car and the On-board Computer - Jabelone Communication between hardware and software repo - car-controller Neural Network architecture was based on

NVIDIA's Self-driving car paper - End-To-End Learning for Self-Driving Cars

Frequently asked questions

How many stars and forks are recorded?

kendricktan/suiron has 710 stars and 77 forks.

What is the repository rank?

kendricktan/suiron is ranked 14,707.

What language and category are recorded?

kendricktan/suiron has 710 stars, uses Python and belongs to Model Development.

Which repository is closest in rank?

kendricktan/suiron is compared with hijkzzz/pymarl2, ranked 14,705 with 710 stars.

README

Suiron

Machine Learning for RC Cars

Prediction visualization (green = actual, blue = prediction)

Click the video below to see it in action!

Dependencies

Python 2.7 was chosen as it was supported by all the libraries used at the time

sudo apt-get update
sudo apt-get upgrade
sudo apt-get install python-opencv python-dev

export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.10.0-cp27-none-linux_x86_64.whl
sudo pip install --upgrade $TF_BINARY_URL

sudo pip install -r requirements.txt

Collecting data

python collect.py

Visualizing collected data

python visualize_collect.py

Training data

python train.py

Visualizing predicted data

python visualize_predict.py

References

Blog Post detailing how the hardware and software communicate - Communicating between RC Car and the On-board Computer - Jabelone

Communication between hardware and software repo - car-controller

Neural Network architecture was based on NVIDIA's Self-driving car paper - End-To-End Learning for Self-Driving Cars

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