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
☆49Updated 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:
- ☆231Updated 3 years ago
- A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)☆165Updated 3 years ago
- http://cranmer.github.io/stats-ds-book☆73Updated 4 years ago
- Probabilistic Inference on Noisy Time Series☆238Updated 5 months ago
- PyRoss: inference, forecasts, and optimised control of epidemiological models in Python. github.com/rajeshrinet/pyross☆168Updated 10 months ago
- Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"☆199Updated 4 years ago
- Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."☆69Updated 5 years ago
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆90Updated 4 years ago
- Statistical Rethinking (2nd Ed) with Tensorflow Probability☆272Updated 3 years ago
- MLHEP'19 slides and notebooks☆45Updated 5 years ago
- PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3☆159Updated 5 years ago
- Pedagogical Jupyter notebooks for topological data analysis. Topics include basic shapes, sliding window audio/video, lower star filtrat…☆95Updated 5 years ago
- Generalized additive models in Python with a Bayesian twist☆78Updated last year
- ☆36Updated 4 years ago
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/☆53Updated 10 months ago
- Scipy 2019 Tutorial☆35Updated 5 years ago
- Notebooks for the "ML from the Fundamentals" series☆63Updated 4 years ago
- Python package to discover stochastic differential equations from time series data☆95Updated 6 months ago
- Crash course to master gradient-based machine learning. Also secretly a JAX course in disguise!☆225Updated last year
- An introduction to Bayesian statistics using Python and (coming soon) R.☆134Updated last year
- Yet another black-box optimization library for Python☆138Updated 2 years ago
- Multiscale Modelling Tool - mathematical modelling without the maths☆22Updated 3 years ago
- Bayesian Analysis with Python - Second Edition, published by Packt☆135Updated 4 years ago
- Interactive visualization of Gaussian processes☆169Updated 2 years ago
- Research Environment to play around with Algorithms and Data (Structures)☆55Updated 4 years ago
- Image Markov Chain Monte Carlo☆244Updated 3 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆230Updated 4 years ago
- Neat Bayesian machine learning examples☆58Updated 3 weeks ago
- Just a little MCMC☆227Updated last year