wesselb / mlkernelsLinks
Kernels, the machine learning ones
☆14Updated 2 years ago
Alternatives and similar repositories for mlkernels
Users that are interested in mlkernels are comparing it to the libraries listed below
Sorting:
- Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX☆23Updated 2 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- A generic interface for linear algebra backends☆73Updated 3 months ago
- Probabilistic deep learning using JAX☆14Updated 3 months ago
- Large scale simulation of ODEs or SDEs, analyze time series.☆25Updated 6 years ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated 10 months ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 4 years ago
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆39Updated last year
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆12Updated 7 months ago
- Gaussian-Processes Surrogate Optimisation in python☆19Updated 4 years ago
- Implementation of the Orthogonal Instantaneous Linear Mixing Model☆9Updated 2 years ago
- Bayesian inference for a logistic regression model in various languages☆42Updated last year
- Exponential families for JAX☆69Updated this week
- Sampling with Blackjax on Aesara☆11Updated 2 years ago
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆11Updated 2 years ago
- Interactive textbook on state space models☆12Updated 3 years ago
- Gaussian processes with spherical harmonic features in JAX☆15Updated last year
- pyrff: Python implementation of random fourier feature approximations for gaussian processes☆28Updated 2 months ago
- An HMC/NUTS implementation in Aesara☆32Updated last year
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Updated last year
- Tutorials and sampling algorithm comparisons☆75Updated this week
- Extension of dynamax repo to cases with continuous-time dynamics with measurements sampled at possibly irregular discrete times. Allows …☆13Updated 6 months ago
- Canonical Correlation Forests☆20Updated 6 years ago
- Numpyro examples in Python notebooks☆11Updated 4 years ago
- probabilistic programming focused on fun☆41Updated 7 months ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- A simple library to run variational inference on Stan models.☆32Updated 2 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆27Updated 6 years ago
- Practical tools for quantifying how well a sample approximates a target distribution☆27Updated 4 years ago