petergchang / sarkka-jax
☆11Updated 2 years ago
Alternatives and similar repositories for sarkka-jax
Users that are interested in sarkka-jax are comparing it to the libraries listed below
Sorting:
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated 5 months ago
- JAX workshop for beginners☆8Updated 4 months ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆59Updated 10 months ago
- A generic interface for linear algebra backends☆73Updated 2 months 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 9 months ago
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆12Updated 6 months ago
- Exponential families for JAX☆69Updated last week
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Updated 3 months ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆46Updated last month
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 4 years ago
- GPFlow based implementation of temporal parallellization of state space GPs☆15Updated 2 years ago
- Companion code in JAX for the paper Parallel Iterated Extended and Sigma-Point Kalman Smoothers.☆27Updated 9 months ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆41Updated 2 years ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.☆31Updated last year
- ☆11Updated 2 years ago
- ☆23Updated last year
- Conditional density estimation with neural networks☆31Updated 3 months ago
- A small library of paramaterizations and parameter constraints for PyTrees.☆29Updated last week
- Inference Combinators in JAX☆48Updated last week
- Gradient-informed particle MCMC methods☆12Updated last year
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆99Updated last year
- A zoo of implementations of differential equation problems in NumPy and JAX. Oscillators, chemical reactions, n-body problems, epidemiolo…☆15Updated last year
- ☆37Updated 3 years ago
- ☆12Updated last year
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Self-tuning HMC algorithms and evaluations☆19Updated 7 months ago
- Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX☆23Updated 2 years ago
- A light interface to serial and multi-threaded Sequential Monte Carlo☆31Updated 3 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆31Updated 10 months ago