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.☆152Updated 5 years ago
- ☆214Updated 4 years ago
- Algorithms for computations on random manifolds made easier☆94Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2021.☆93Updated 4 years ago
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 3 years ago
- Design your own matplotlib stylefile interactively☆214Updated 4 years ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆96Updated last week
- Normalizing Flows using JAX☆86Updated 2 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆226Updated last year
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆174Updated 4 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆310Updated last month
- A Python library for mathematical optimization☆141Updated last year
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆241Updated 2 years ago
- Manifold-learning flows (ℳ-flows)☆233Updated 5 years ago
- Large-scale, multi-GPU capable, kernel solver☆197Updated 6 months ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆54Updated 3 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆248Updated 4 months ago
- Differentiable and numerically stable implementation of the matrix exponential☆33Updated 5 years ago
- ☆252Updated 3 years ago
- Agustinus' very opiniated publication-ready plotting library☆71Updated 9 months ago
- Simulation-based inference benchmark☆108Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆125Updated 2 years ago
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆48Updated 4 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆103Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆286Updated 4 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆96Updated 4 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆39Updated 4 years ago