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:
- ☆232Updated 3 years ago
- http://cranmer.github.io/stats-ds-book☆73Updated 4 years ago
- ☆36Updated 5 years ago
- Statistical Rethinking (2nd Ed) with Tensorflow Probability☆272Updated 3 years ago
- Pedagogical Jupyter notebooks for topological data analysis. Topics include basic shapes, sliding window audio/video, lower star filtrat…☆96Updated 5 years ago
- PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3☆160Updated 5 years ago
- pyrff: Python implementation of random fourier feature approximations for gaussian processes☆28Updated 2 months ago
- PyRoss: inference, forecasts, and optimised control of epidemiological models in Python. github.com/rajeshrinet/pyross☆168Updated last year
- Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."☆71Updated 5 years ago
- Neat Bayesian machine learning examples☆58Updated 2 weeks ago
- Generalized additive models in Python with a Bayesian twist☆78Updated last month
- Probabilistic Inference on Noisy Time Series☆239Updated 2 weeks ago
- Yet another black-box optimization library for Python☆138Updated 2 years ago
- workshops☆12Updated 2 years ago
- A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)☆165Updated 4 years ago
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- Code used for experiments in https://arxiv.org/abs/2008.08601☆19Updated 4 years ago
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆75Updated 9 months ago
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆90Updated 4 years ago
- Time series analysis suite☆100Updated 2 years ago
- Following along with Statistical Rethinking text on Bayesian modeling by McElreath☆67Updated 5 years ago
- 18.S096 - Applications of Scientific Machine Learning☆311Updated 3 years ago
- Crash course to master gradient-based machine learning. Also secretly a JAX course in disguise!☆229Updated last year
- Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"☆202Updated 4 years ago
- Understanding ML and deep learning through geometry☆157Updated 3 years ago
- Interactive visualization of Gaussian processes☆172Updated 2 years ago
- Gaussian process modelling in Python☆224Updated 9 months ago
- Image Markov Chain Monte Carlo☆245Updated 3 years ago
- Research Environment to play around with Algorithms and Data (Structures)☆55Updated 5 years ago
- xi correlation method adapted for python☆150Updated 3 years ago