Stars
A web based platform for building Chatbots backed by Large Language Models
Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking
Python sample codes and textbook for robotics algorithms.
Universal Robot (UR5) Pick and Place Simulation in ROS-Gazebo with a USB Cam and Vacuum Grippers
PyTorch Tutorials from my YouTube channel
Google Research
Repository for most of the code from my YouTube channel
A resource for learning about Machine learning & Deep Learning
Python library for working with Metric Temporal Logic (MTL)
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
Coding Demos from the School of AI's Move37 Course
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
code for paper PlanLight: Learning to Optimize Traffic Signal Control with Planning and Iterative Policy Improvement
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Rainbow: Combining Improvements in Deep Reinforcement Learning
A toolkit for reproducible reinforcement learning research.
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presente…
A Platform for Many-Agent Reinforcement Learning
Paper list of multi-agent reinforcement learning (MARL)
Optimization course assignments under the supervision of Dr. Maryam Amirmazlaghani
What I learnt from the optimization course, under supervision of Dr. Maryam Amirmazlaghani at AUT.