☄️Learning
Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
A collection of research materials on explainable AI/ML
Seminar on Large Language Models (COMP790-101 at UNC Chapel Hill, Fall 2022)
UMich 500-Level Mobile Robotics Course
This repo contains the Hugging Face Deep Reinforcement Learning Course.
Reinforcement learning with Qbert. Assignment 3 of ECSE-526.
Assignment 1 for Stanford CS348K (implementing a basic camera RAW pipeline)
Course notes for MIT manipulation class
The English version of 14 lectures on visual SLAM.
Resources related to IIITH courses for learning beyond the courses.
Best practices, conventions, and tricks for ROS
Paper list of multi-agent reinforcement learning (MARL)
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
SLAM Resources to follow up current SLAM trends and papers.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites