Frostday/Model-Predictive-Controllers Frostday/Model-Predictive-Controllers

  • Stars
    star
    17
  • Rank 1,257,181 (Top 25 %)
  • Language
    Python
  • License
    MIT License
  • Created about 4 years ago
  • Updated about 4 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
Frostday/Model-Predictive-Controllers
github

Frostday

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Making model predictive controllers for making a Self-Driving or Autonomous Car follow the speed limit, pull into parking spaces, and avoid obstacles.

More Repositories

1

Lane-Segmentation

Lane segmentation done using Tensorflow framework in Python and trained on CU Lane dataset.
Python
11
star
2

Shop-App

A flutter e-commerce app which allows users to buy and sell items.
Dart
2
star
3

Emotion-Detection

Detecting emotions of a person in real-time using deep learning. This project was made using Tensorflow and OpenCV.
Jupyter Notebook
2
star
4

newsILY

A website that allows its users to search for the most relevant news articles related to a particular topic. It uses NLP to extract important information from the news articles (NER), provides a summary of the news article and also performs sentiment analysis on the news article.
Jupyter Notebook
1
star
5

IMRDb

Internet Movie Recommender Database is a website made using HTML, CSS, and Django which uses deep learning to recommend movies to users according to their preferences. An autoencoder trained on the ml-25m dataset using Pytorch was used for making the actual recommendation.
HTML
1
star
6

RedBot

RedBot is a chatbot trained on Reddit comments dataset using a transformer model in Python using Tensorflow framework. Also tkinter has been used to create a GUI which allows the user to interact with the chatbot.
Jupyter Notebook
1
star