ColCarroll / hamiltonian_monte_carlo_talk
Essay on Hamiltonian Monte Carlo in PyMC3
☆14Updated 2 years ago
Alternatives and similar repositories for hamiltonian_monte_carlo_talk:
Users that are interested in hamiltonian_monte_carlo_talk are comparing it to the libraries listed below
- A Python package for Approximate Bayesian Computation☆36Updated 8 years ago
- An MCMC algorithm for sampling continuous probability distributions in parallel☆19Updated 10 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 5 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆31Updated 5 years ago
- ☆64Updated 7 years ago
- ABCpy package☆114Updated 11 months ago
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆46Updated 5 years ago
- Experiments in Bayesian Machine Learning☆69Updated 5 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 6 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 4 years ago
- Code for AutoGP☆26Updated 5 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- ☆11Updated last year
- Likelihood-free inference toolbox.☆57Updated 7 years ago
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆23Updated 4 years ago
- A colourful collection of codes and notebooks, like Planet Sakaar☆55Updated 2 years ago
- A comparison of PPL APIs☆27Updated 5 years ago
- Notebook tutorials☆14Updated last year
- Talks from Neil Lawrence☆54Updated last year
- Particle Gibbs for Bayesian Additive Regression Trees☆32Updated 9 years ago
- Approximate Bayesian Computation Population Monte Carlo☆41Updated 5 years ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 4 years ago
- MCMC package for Bayesian data analysis☆58Updated 7 years ago
- A python library for stochastic variational inference and differentiable probabilistic programming☆32Updated 5 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 9 years ago
- Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.☆74Updated last year
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 6 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 4 years ago