ColCarroll / hamiltonian_monte_carlo_talk
Essay on Hamiltonian Monte Carlo in PyMC3
☆14Updated last year
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
- 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
- Likelihood-free inference toolbox.☆57Updated 7 years ago
- ☆64Updated 6 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Code for AutoGP☆26Updated 5 years ago
- 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
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆46Updated 5 years ago
- MLHEP 2015 materials (http://hse.ru/mlhep2015)☆19Updated 9 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 6 years ago
- ABCpy package☆113Updated 9 months ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 9 years ago
- PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3☆15Updated 7 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 6 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2017☆26Updated 2 years ago
- Experiments in Bayesian Machine Learning☆69Updated 5 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆76Updated 11 months ago
- Probabilistic programming in Python workshop at Oslo universitetssykehus HF☆36Updated 8 years ago
- A python library for stochastic variational inference and differentiable probabilistic programming☆32Updated 5 years ago
- Short course on nonparametric inference in auditing and litigation, XXIX Foro Internacional de Estadistica, Puebla, MX☆15Updated 7 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 6 years ago
- Simulation based calibration and generation of synthetic data.☆48Updated 2 weeks ago
- A colourful collection of codes and notebooks, like Planet Sakaar☆55Updated last year
- Talks from Neil Lawrence☆54Updated last year
- bayesian bootstrapping in python☆121Updated 2 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 4 years ago