dimenwarper / awesome-bayesLinks
List of resources for bayesian inference
☆155Updated 5 years ago
Alternatives and similar repositories for awesome-bayes
Users that are interested in awesome-bayes are comparing it to the libraries listed below
Sorting:
- Statistical Rethinking with PyTorch and Pyro☆163Updated last month
- Materials of the Nordic Probabilistic AI School 2019.☆130Updated 5 years ago
- Statistical Rethinking (2nd ed.) with NumPyro☆458Updated last month
- In which I try to demystify the fundamental concepts behind Bayesian deep learning.☆123Updated 7 years ago
- Just a little MCMC☆227Updated 11 months ago
- ☆240Updated 6 years ago
- ☆231Updated 3 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated 10 months ago
- Statistical Rethinking (2nd Ed) with Tensorflow Probability☆271Updated 3 years ago
- Understanding ML and deep learning through geometry☆157Updated 3 years ago
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆391Updated last year
- Bayesian Regression Models in Pyro☆72Updated 10 months ago
- Presented at Scipy Conference 2019☆126Updated 5 years ago
- Inference case studies in jupyter☆93Updated 6 years ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆95Updated 2 years ago
- Collection of probabilistic models and inference algorithms☆241Updated 5 years ago
- Introductory overview of Bayesian inference☆44Updated 6 years ago
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆330Updated last year
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆90Updated 4 years ago
- A collection of Bayesian data analysis recipes using PyMC3☆557Updated last year
- ABCpy package☆114Updated last year
- ☆72Updated 6 years ago
- A user-centered Python package for differentiable probabilistic inference☆202Updated 4 years ago
- ☆38Updated 4 years ago
- Generalized linear mixed-effect model in Python☆178Updated 6 years ago
- Educational resources☆104Updated 3 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆120Updated 5 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆174Updated 2 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Updated 2 years ago
- Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…☆59Updated 5 years ago