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C++ utilities to control a pendulum from a Raspberry Pi4
A chess game built from scratch in Python
Development of a virtual quadruped robot using OpenAI & Mujoco
Notebooks about Bayesian methods for machine learning
Experiments for understanding disentanglement in VAE latent representations
A Collection of Variational Autoencoders (VAE) in PyTorch.
Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.
Taming Transformers for High-Resolution Image Synthesis
Learning visual servoing with deep features and fitted Q-iteration
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"
Repository for most of the code from my YouTube channel
Practical assignments of the Deep|Bayes summer school 2019
Unofficial GoPro API Library for Python - connect to GoPro via WiFi.
Our NIPS 2017: Learning to Run source code
Clean PyTorch implementations of imitation and reward learning algorithms
Project of the "fundamentals of artificial intelligence" first year master's degree course
Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method
Reinforcement Learning with Perturbed Reward, AAAI 2020
An elegant PyTorch deep reinforcement learning library.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Simple Cartpole example writed with pytorch.
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes