pymc-devs / sunodeLinks
Solve ODEs fast, with support for PyMC
☆114Updated last year
Alternatives and similar repositories for sunode
Users that are interested in sunode are comparing it to the libraries listed below
Sorting:
- Probabilistic Inference on Noisy Time Series☆239Updated 6 months ago
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆57Updated last year
- distributed, likelihood-free inference☆216Updated last month
- A list of Python-based MCMC & ABC packages☆123Updated 2 months ago
- Gaussian process modelling in Python☆222Updated 8 months ago
- Optimal numerical differentiation of noisy time series data in python.☆64Updated last month
- Python wrapper for nuts-rs☆171Updated this week
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆40Updated last year
- Numba-accelerated statistical distributions☆62Updated last week
- The tiniest of Gaussian Process libraries☆315Updated 2 weeks ago
- Toolbox for non-linear calibration modeling.☆26Updated last week
- ⚡️ zeus: Lightning Fast MCMC ⚡️☆239Updated last year
- Differentiable interface to FEniCS for PyMC3☆20Updated 2 years ago
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆74Updated 7 months ago
- python Parameter EStimation TOolbox☆250Updated this week
- Probabilistic Programming and Nested sampling in JAX☆198Updated last week
- Tools for an Aesara-based PPL.☆66Updated 9 months ago
- Just-in-Time Compilation for Ordinary Differential Equations☆67Updated last month
- ABCpy package☆115Updated last year
- Exploring and eliciting probability distributions☆144Updated last month
- Manifold Markov chain Monte Carlo methods in Python☆232Updated last week
- Just a little MCMC☆228Updated last year
- State of the art inference for your bayesian models.☆221Updated 3 months ago
- Gaussian Process Regression Interactive Javascript Demo☆55Updated 7 years ago
- Probabilistic Numerics in Python.☆453Updated last month
- A backend for storing MCMC draws.☆20Updated last week
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆42Updated 2 years ago
- ☆99Updated last year
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆90Updated 4 years ago
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆132Updated 4 years ago