antoine-moulin / MVA
Labs and homeworks done during the Master Mathematics, Vision, Learning (MVA) at ENS Paris-Saclay.
☆22Updated 2 years ago
Alternatives and similar repositories for MVA
Users that are interested in MVA are comparing it to the libraries listed below
Sorting:
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆86Updated 2 months ago
- LearningByDoing NeurIPS 2021 Competition: Standalone Code and Results☆19Updated 2 years ago
- Introduction to Gaussian Processes☆29Updated 6 years ago
- Introduction to Deep Learning☆11Updated 4 years ago
- ☆53Updated 9 months ago
- ☆43Updated 4 years ago
- Python bindings to some optimization benchmarks (robotics problems), in order to constrained optimization solvers. Includes also an inter…☆21Updated 2 years ago
- An implementation of five reinforcement learning algorithms to simulate macro actions for the HFO problem.☆9Updated 4 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 4 years ago
- Plannable Approximations to MDP Homomorphisms: Equivariance under Actions☆30Updated 4 years ago
- Lecture notes, slides and scripts (LaTeX sources) in AI, Robotics, Machine Learning, Maths, Optimization☆123Updated 4 months ago
- ☆12Updated 3 years ago
- This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.☆52Updated 3 years ago
- ☆13Updated last year
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆25Updated last year
- ☆40Updated last year
- Official codebase for Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.☆21Updated 4 years ago
- An official PyTorch implementation of "Regression Prior Networks" for effective runtime uncertainty estimation.☆36Updated 4 years ago
- Efficiently Composable Data Augmentation on the GPU with Jax☆35Updated this week
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 2 years ago
- ☆43Updated last year
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆44Updated 2 years ago
- PAC-Bayes generalization certificates for ICP☆21Updated last year
- Example CV (curriculum vitae) in latex, one file, no class.☆35Updated 3 years ago
- Open source code for paper "On the Learning and Learnability of Quasimetrics".☆32Updated 2 years ago
- Landing a Spaceship using Upside-Down Reinforcement Learning (a.k.a ⅂ꓤ)☆11Updated last year
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- My solutions to CS285 2019 Fall of UC Berkeley☆14Updated 2 years ago
- My PhD thesis. I defended on the 30th of October, 2020! See https://github.com/eleurent/phd-defense/☆14Updated 3 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated last year