chi-feng / gp-demoLinks
Gaussian Process Regression Interactive Javascript Demo
☆57Updated 7 years ago
Alternatives and similar repositories for gp-demo
Users that are interested in gp-demo are comparing it to the libraries listed below
Sorting:
- Just a little MCMC☆235Updated last year
- Manifold Markov chain Monte Carlo methods in Python☆236Updated last month
- Probabilistic Inference on Noisy Time Series☆241Updated 4 months ago
- Solve ODEs fast, with support for PyMC☆117Updated last year
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆131Updated 5 years ago
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆59Updated last year
- http://cranmer.github.io/stats-ds-book☆74Updated 4 years ago
- ABCpy package☆117Updated last year
- Numerical integration of Ito or Stratonovich SDEs☆169Updated 2 years ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- Differentiable interface to FEniCS for PyMC3☆22Updated 3 years ago
- A generic interface for linear algebra backends☆76Updated 2 months ago
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆39Updated 2 years ago
- Gaussian process modelling in Python☆226Updated last year
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆189Updated last year
- Probabilistic Numerics in Python.☆455Updated 6 months ago
- Simulation-based inference benchmark☆108Updated last year
- A list of Python-based MCMC & ABC packages☆123Updated 7 months ago
- Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.☆39Updated 5 years ago
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆75Updated last year
- Bibtex for various Python science and machine learning software☆33Updated 3 years ago
- Quasi-Monte Carlo point generators, automatic transformations, and adaptive stopping criteria☆78Updated last week
- Hamiltonain Monte Carlo in Python☆40Updated 6 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Continuously tempered Hamiltonian Monte Carlo☆12Updated 8 years ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Probabilistic Programming and Nested sampling in JAX☆219Updated last month
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆131Updated this week
- Exponential families for JAX☆76Updated this week
- My CV☆38Updated this week