Kodemannen / Bayesian-Inference-and-Machine-LearningLinks
A text on Bayesian inference. Applying Bayesian regression and a Bayesian convolutional neural net on data from simulations of the Ising model
☆48Updated 3 years ago
Alternatives and similar repositories for Bayesian-Inference-and-Machine-Learning
Users that are interested in Bayesian-Inference-and-Machine-Learning are comparing it to the libraries listed below
Sorting:
- Presented at Scipy Conference 2019☆126Updated 5 years ago
- ☆36Updated 4 years ago
- Source files for https://python.quantecon.org☆63Updated 3 years ago
- http://cranmer.github.io/stats-ds-book☆70Updated 4 years ago
- Scipy 2019 Tutorial☆35Updated 5 years ago
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated 11 months ago
- ☆231Updated 3 years ago
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.☆99Updated 3 years ago
- Generalized additive models in Python with a Bayesian twist☆78Updated last year
- Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/☆53Updated 9 months ago
- Gaussian Process Regression Interactive Javascript Demo☆55Updated 6 years ago
- List of resources for bayesian inference☆155Updated 5 years ago
- PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3☆159Updated 5 years ago
- Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."☆69Updated 5 years ago
- ☆30Updated 2 years ago
- Just a little MCMC☆227Updated 11 months ago
- A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)☆165Updated 3 years ago
- Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"☆196Updated 4 years ago
- Inference case studies in jupyter☆93Updated 6 years ago
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆90Updated 4 years ago
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆73Updated 5 months ago
- A comparison of PPL APIs☆27Updated 5 years ago
- Neat Bayesian machine learning examples☆58Updated 4 months ago
- pyrff: Python implementation of random fourier feature approximations for gaussian processes☆28Updated 2 months ago
- ☆38Updated 4 years ago
- Introduction to Probability and Statistics☆56Updated 2 years ago
- Code used for experiments in https://arxiv.org/abs/2008.08601☆19Updated 4 years ago
- ☆45Updated 5 years ago
- A cheatsheet for Python and Julia☆154Updated last year
- 18.S096 - Applications of Scientific Machine Learning☆312Updated 3 years ago