gerdm / reinforcement-learningLinks
Repository of notes, code and notebooks in Python for the book "Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew G. Barto
☆35Updated 4 months ago
Alternatives and similar repositories for reinforcement-learning
Users that are interested in reinforcement-learning are comparing it to the libraries listed below
Sorting:
- NUS CS5242 Neural Networks and Deep Learning, Xavier Bresson, 2025☆403Updated 8 months ago
- PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research …☆206Updated 4 months ago
- A collection of awesome mathematics and computer science courses☆137Updated 11 months ago
- Resources needed to start deep learning research. ML/DL/CV/NLP/ML-SYS/RL/Graphs/Maths/Med image lecture videos from professors at esteeme…☆90Updated last month
- Stanford CS234: Reinforcement Learning assignments and practices☆61Updated last year
- I will build Transformer from scratch☆85Updated 5 months ago
- Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024☆248Updated last year
- Understanding Kolmogorov-Arnold Networks: A Tutorial Series on KAN using Toy Examples☆204Updated 7 months ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆197Updated 2 years ago
- ☆131Updated 2 years ago
- Implementations of Papers that I read, you can read my breakdown in my blog☆89Updated 2 months ago
- ☆62Updated 10 months ago
- Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.☆27Updated last year
- GPU Kernels☆212Updated 8 months ago
- This repository is an implementation of the ViT paper from scratch with tutorials on model, dataloading, training, inference, finteuning,…☆13Updated last year
- A repository consisting of paper/architecture replications of classic/SOTA AI/ML papers in pytorch☆397Updated last month
- Collection of tests performed during the study of the new Kolmogorov-Arnold Neural Networks (KAN)☆41Updated 10 months ago
- Stanford CS234 : Reinforcement Learning☆172Updated 6 years ago
- Beginner Level Deep Learning Tutorials in Pytorch with Youtube Videos!☆453Updated last year
- This Repo consists the python note books of IITM - Mathematical Foundations for Generative AI Course,☆325Updated 2 weeks ago
- 100 days of building GPU kernels!☆555Updated 8 months ago
- NYU Artificial Intelligence Spring 2024☆61Updated last year
- Interactive textbook on state-space models☆200Updated last year
- Repo for ML Models built from scratch such as Self-Attention, Linear +Logistic Regression, PCA, LDA. CNN, LSTM, Neural Networks using Nu…☆50Updated 10 months ago
- ☆52Updated last year
- This course aims to teach from the basics of RL to advanced algorithms such as PPO.☆32Updated last month
- Advanced Topics in Artificial Intelligence, NUS CS6208, 2023☆326Updated 2 years ago
- Deep Learning for Computer Vision☆60Updated last year
- A practical guide to diffusion models, implemented from scratch.☆223Updated 2 weeks ago
- Just some stuff for Interview questions, books, annotated paper, notes, cheat sheets etc etc related to ML,AI, Deep Learning and Data Sc…☆120Updated 4 months ago