aterenin / phdthesisLinks
Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
☆199Updated 3 years ago
Alternatives and similar repositories for phdthesis
Users that are interested in phdthesis are comparing it to the libraries listed below
Sorting:
- A Machine Learning workflow for Slurm.☆151Updated 4 years ago
- ☆214Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2021.☆93Updated 4 years ago
- Algorithms for computations on random manifolds made easier☆94Updated last year
- Materials of the Nordic Probabilistic AI School 2022.☆180Updated 3 years ago
- Design your own matplotlib stylefile interactively☆214Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆222Updated last year
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆91Updated 8 months ago
- Normalizing Flows using JAX☆85Updated last year
- ☆250Updated 2 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆240Updated last year
- Large-scale, multi-GPU capable, kernel solver☆192Updated 3 months ago
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆48Updated 4 years ago
- Geometric kernels on manifolds, meshes and graphs☆276Updated this week
- ☆100Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆53Updated 3 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆121Updated 2 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆309Updated 4 months ago
- Manifold-learning flows (ℳ-flows)☆230Updated 5 years ago
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 3 years ago
- Agustinus' very opiniated publication-ready plotting library☆69Updated 6 months ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆248Updated last month
- A generic interface for linear algebra backends☆75Updated 2 weeks ago
- Code for efficiently sampling functions from GP(flow) posteriors☆73Updated 5 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆89Updated last year