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
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated last year
- A generic interface for linear algebra backends☆74Updated 7 months ago
- Code accompanying the NeurIPS 2021 Paper: A Probabilistic State Space Model for Joint Inference from Differential Equations and Data (Sch…☆13Updated 2 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 5 years ago
- Gaussian processes with spherical harmonic features in JAX☆15Updated 2 months ago
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆38Updated 2 years ago
- Interactive textbook on state space models☆12Updated 3 years ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆42Updated 2 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated 2 years ago
- Gaussian-Processes Surrogate Optimisation in python☆19Updated 4 years ago
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆13Updated 11 months ago
- Large scale simulation of ODEs or SDEs, analyze time series.☆25Updated 6 years ago
- Low rank adaptation of covariance matrices for nuts sampling in pymc3☆15Updated 3 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Gaussian Process Regression Interactive Javascript Demo☆56Updated 7 years ago
- Exponential families for JAX☆75Updated last week
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆11Updated 2 years ago
- Repository for Deterministic Particle Flow Control framework☆10Updated 2 years ago
- Solve ODEs fast, with support for PyMC☆117Updated last year
- Benchmarks of Bayesian Nonparametric models in Turing and other PPLs☆28Updated last year
- Sampling with Blackjax on Aesara☆11Updated 2 years ago
- Jax SSM Library☆48Updated 2 years ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Probabilistic deep learning using JAX☆15Updated 8 months ago
- pyrff: Python implementation of random fourier feature approximations for gaussian processes☆28Updated 3 months ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆68Updated 9 months ago
- Gaussian process modelling in Python☆224Updated 10 months ago
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated 10 months ago
- GENO is a solver for non-linear optimization problems. It can solve constrained and unconstrained problems.☆36Updated 10 months ago