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:
- ☆214Updated 3 years ago
- Design your own matplotlib stylefile interactively☆216Updated 4 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆206Updated last year
- Materials of the Nordic Probabilistic AI School 2021.☆93Updated 3 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆233Updated last year
- A Machine Learning workflow for Slurm.☆149Updated 4 years ago
- Normalizing Flows using JAX☆83Updated last year
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆305Updated 3 weeks ago
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 2 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆100Updated last year
- A generic interface for linear algebra backends☆73Updated 3 months ago
- A library for uncertainty quantification based on PyTorch☆121Updated 3 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆243Updated 3 months ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆104Updated last year
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated last year
- Probabilistic Numerics in Python.☆452Updated last year
- Gaussian process modelling in Python☆223Updated 6 months ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated last year
- Turn SymPy expressions into trainable JAX expressions.☆342Updated 2 months ago
- Algorithms for computations on random manifolds made easier☆90Updated last year
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- A Pytree Module system for Deep Learning in JAX☆214Updated 2 years ago
- Geometric kernels on manifolds, meshes and graphs☆258Updated 3 weeks ago
- Functional tensors for probabilistic programming☆241Updated last year
- Official repository for CMU Machine Learning Department's 10721: "Philosophical Foundations of Machine Intelligence".☆262Updated 2 years ago
- ☆578Updated last month
- A pure-functional implementation of a machine learning transformer model in Python/JAX☆179Updated last month
- Deep Probabilistic Programming Course @ DIKU☆57Updated 4 years ago
- ☆168Updated 10 months ago