elfi-dev / notebooks
Notebook tutorials
☆14Updated last year
Related projects ⓘ
Alternatives and complementary repositories for notebooks
- Approximate Bayesian Computation Population Monte Carlo☆40Updated 4 years ago
- A Python package for Approximate Bayesian Computation☆36Updated 8 years ago
- Implementation of simulation based calibration for PyMC and Bambi☆32Updated 2 months ago
- Decorator for PyMC3☆50Updated 3 years ago
- ABCpy package☆113Updated 5 months ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 4 years ago
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆52Updated 3 months ago
- Differentiable interface to FEniCS for PyMC3☆20Updated last year
- A comparison of PPL APIs☆25Updated 5 years ago
- Fully nonstationary, heteroscedastic GP for Matlab☆14Updated 3 months ago
- A straightforward Bayesian data fitting library☆26Updated last week
- Code for AutoGP☆26Updated 5 years ago
- Likelihood-free inference toolbox.☆57Updated 7 years ago
- ☆13Updated 3 years ago
- PyMC3-like Interface for Pyro☆37Updated 4 years ago
- Unbiased MCMC with couplings☆18Updated 5 years ago
- A Python package for approximate Bayesian inference and optimization using Gaussian processes☆41Updated last year
- PyMC Extras extracted from the "exoplanet" library☆19Updated last month
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆52Updated 2 years ago
- Conventionally parameterized probability distributions☆35Updated last month
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 4 years ago
- Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.☆39Updated 4 years ago
- Super fast dynamic nested sampling with PolyChord (Python, C++ and Fortran likelihoods).☆22Updated 4 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆27Updated 6 years ago
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 6 years ago
- pyrff: Python implementation of random fourier feature approximations for gaussian processes☆27Updated 2 years ago
- Solve ODEs fast, with support for PyMC☆107Updated 5 months ago
- Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.☆61Updated 7 months ago
- Numpyro examples in Python notebooks☆11Updated 4 years ago
- Generic API for dispatch to Pyro backends.☆16Updated 2 years ago