d9w / deep-learning-introLinks
Introduction to Deep Learning
☆11Updated 4 years ago
Alternatives and similar repositories for deep-learning-intro
Users that are interested in deep-learning-intro are comparing it to the libraries listed below
Sorting:
- ☆25Updated 4 years ago
- Introduction to Gaussian Processes☆29Updated 7 years ago
- ☆18Updated 4 years ago
- Lecture notes, slides and scripts (LaTeX sources) in AI, Robotics, Machine Learning, Maths, Optimization☆130Updated 7 months ago
- LearningByDoing NeurIPS 2021 Competition: Standalone Code and Results☆19Updated 3 years ago
- Notebook for the Bayesian Optimization (quick) tutorial☆10Updated 4 years ago
- Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023☆76Updated 10 months ago
- ☆20Updated 2 years ago
- A python implementation of the COACH algorithm for the Cartpole problem in OpenAI gym.☆11Updated 6 years ago
- Gaussian Mixture Regression☆197Updated 3 weeks ago
- Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.☆54Updated 2 years ago
- This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.☆53Updated 3 years ago
- Bayesian Learning and Neural Networks (jupyter book sources)☆56Updated 2 years ago
- Python bindings to some optimization benchmarks (robotics problems), in order to constrained optimization solvers. Includes also an inter…☆21Updated 2 years ago
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆141Updated 2 years ago
- This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.☆82Updated 11 months ago
- [deprecated] Engine Agnostic Gym Environment for Robotics☆17Updated 3 years ago
- ☆11Updated 3 years ago
- Tutorial: Tools for Robotic Reinforcement Learning, Hands-on RL for Robotics with EAGER and Stable-Baselines3☆97Updated 3 years ago
- Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)☆54Updated 4 years ago
- Notes on topics ranging from Recurrent Newtorks to Automatic Control and Reinforcement Learning☆21Updated 8 months ago
- All the source codes and lectures of reinforcement learning.☆32Updated 5 years ago
- Google AI Princeton control framework☆38Updated 4 years ago
- ☆16Updated 3 years ago
- My solutions to CS285 2019 Fall of UC Berkeley☆14Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2022.☆180Updated 2 years ago
- Unofficial implementation in Python porting of the book "Algorithms for Optimization" (2019) MIT Press by By Mykel J. Kochenderfer and Ti…☆50Updated 2 years ago
- This is a collection of interesting papers that I have read so far or want to read. Note that the list is not up-to-date. Topics: reinfor…☆11Updated 5 months ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆64Updated 4 years ago
- CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning☆15Updated last year