ColCarroll / hamiltonian_monte_carlo_talkLinks
Essay on Hamiltonian Monte Carlo in PyMC3
☆15Updated 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
Sorting:
- ☆64Updated 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
- An MCMC algorithm for sampling continuous probability distributions in parallel☆19Updated 10 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- Experiments in Bayesian Machine Learning☆69Updated 6 years ago
- Automatic differentiation + optimization☆103Updated 6 years ago
- Machine Learning in High Energy Physics 2016☆76Updated 5 years ago
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- A Python package for Approximate Bayesian Computation☆38Updated 9 years ago
- Collection of jupyter notebooks for demonstrating software.☆168Updated 2 years ago
- A python library for stochastic variational inference and differentiable probabilistic programming☆33Updated 6 years ago
- Implementation of Hidden Markov Models in pymc3☆61Updated 8 years ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 7 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 10 years ago
- A colourful collection of codes and notebooks, like Planet Sakaar☆55Updated 2 years ago
- Just a little MCMC☆227Updated last year
- Lectures for INFO8004 Advanced Machine Learning, ULiège☆113Updated 4 months ago
- ABCpy package☆115Updated last year
- Random fiddling stored in notebooks☆22Updated 8 years ago
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 7 years ago
- MLHEP 2015 materials (http://hse.ru/mlhep2015)☆19Updated 9 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2017☆26Updated 2 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 5 years ago
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆46Updated 5 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated last year
- Code for AutoGP☆27Updated 6 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆31Updated 5 years ago
- Python 3.7 version of David Barber's MATLAB BRMLtoolbox☆25Updated 6 years ago
- A comparison of PPL APIs☆27Updated 6 years ago