Autonomous Libraries

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Autonomous Libraries

Python sample codes for robotics algorithms.

Python codes for robotics algorithm. This is a Python code collection of robotics algorithms. Features: Easy to read for understanding each algorithm's basic idea. Widely used and practical algorithm…

🚀🎬 ShortGPT - Experimental AI framework for automated short/video content creation.

Follow the installation steps below for running the web app locally (running the google Colab is highly recommanded). Please read "installation-notes.md" for more details. We hope you find ShortGPT h…

⚡ Langchain apps in production using Jina & FastAPI

Give us a ⭐ and tell us what more you'd like to see! langchain-serve currently wraps following apps as a service to be deployed on Jina AI Cloud with one command. Integrate autogpt with external ser…

ROS tutorial by Purdue SMART lab: Gazebo simulation - autonomous mobile robot navigation and creating custom robots and sensor plugins

ROS tutorial by Purdue SMART lab: Husky mobile robot navigation and creating custom robots with sensor plugins in Gazebo simulation. This tutorial serves as an introduction to driving and controlling…

autonomous-driving-turtlebot-with-reinforcement-learning

Implementation of Q-learning algorithm and Feedback control for the mobile robot (turtlebot3_burger) in ROS.

An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.

mobile-env supports multi-agent and centralized reinforcement learning policies. It provides various choices for rewards and observations. mobile-env is also easily extendable, so that anyone may add…

German-Traffic-Sign-Classification-Using-TensorFlow

In this project, I used Python and TensorFlow to classify traffic signs. Dataset used: German Traffic Sign Dataset. This dataset has more than 50,000 images of 43 classes. I was able to reach a +99% validation accuracy, and a 97.3% testing accuracy.

I'll explain each step in details below. The pickled data is a dictionary with 4 key/value pairs: In this step, we will apply several preprocessing steps to the input images to achieve the best…

Python client library for managing your LLM data in one place

⚡ Unified LLM data management to drive accuracy at scale ⚡ A one-line Python integration to manage your LLM data. Use Log10 to log both closed and open-source LLM calls. It helps you: Log10 offers va…

Lane-lines-detection-using-Python-and-OpenCV

In this project, I used Python and OpenCV to detect lane lines on the road. I developed a processing pipeline that works on a series of individual images, and applied the result to a video stream.

I'll explain each step in details below. Lane lines in the test images are in white and yellow. We need to choose the most suitable color space, that clearly highlights the lane lines. I applied colo…

Towards-Explainable-AI-System-for-Traffic-Sign-Recognition-and-Deployment-in-a-Simulated-Environment

This project is part of the CS course 'Systems Engineering Meets Life Sciences I' at Goethe University Frankfurt. In this Computer Vision project, we present our first attempt at tackling the problem of traffic sign recognition using a systems engineering approach.

Recent advances in Machine Learning are pushing the boundaries of real world AI applicationsand are becoming more and more integrated in our daily lives. As researchadvances, the long-term goal of au…

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