aterenin / phdthesis
Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
☆198Updated 2 years ago
Alternatives and similar repositories for phdthesis:
Users that are interested in phdthesis are comparing it to the libraries listed below
- ☆214Updated 3 years ago
- A Machine Learning workflow for Slurm.☆149Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated last year
- Materials of the Nordic Probabilistic AI School 2021.☆93Updated 3 years ago
- Algorithms for computations on random manifolds made easier☆88Updated last year
- Materials of the Nordic Probabilistic AI School 2022.☆175Updated 2 years ago
- A library for programmatically generating equivariant layers through constraint solving☆265Updated last year
- Design your own matplotlib stylefile interactively☆215Updated 3 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆198Updated 11 months ago
- Normalizing Flows using JAX☆83Updated last year
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆52Updated 2 years ago
- Geometric kernels on manifolds, meshes and graphs☆242Updated last week
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆232Updated last year
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆305Updated last week
- A generic interface for linear algebra backends☆71Updated 3 weeks ago
- Large-scale, multi-GPU capable, kernel solver☆186Updated 8 months ago
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 2 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆117Updated last year
- Tutorial on amortized optimization for learning to optimize over continuous domains☆238Updated 3 weeks ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆98Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆102Updated last year
- Probabilistic Numerics in Python.☆448Updated 10 months ago
- ☆85Updated 4 years ago
- Mathematical operations for JAX pytrees☆198Updated 3 months ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆85Updated 3 weeks ago
- Differentiable and numerically stable implementation of the matrix exponential☆32Updated 4 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆70Updated 4 years ago
- Neural network verification in JAX☆141Updated last year
- ☆240Updated 2 years ago