ericmjl / bayesian-deep-learning-demystifiedLinks
In which I try to demystify the fundamental concepts behind Bayesian deep learning.
☆123Updated 7 years ago
Alternatives and similar repositories for bayesian-deep-learning-demystified
Users that are interested in bayesian-deep-learning-demystified are comparing it to the libraries listed below
Sorting:
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- Statistical Rethinking with PyTorch and Pyro☆164Updated 3 months ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 7 years ago
- ☆90Updated 4 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆229Updated 4 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated last year
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆127Updated 9 years ago
- ☆159Updated 2 years ago
- Statistical Rethinking (2nd Ed) with Tensorflow Probability☆272Updated 3 years ago
- Repo for the ML_Insights python package☆152Updated 4 months ago
- my blog☆268Updated 3 years ago
- Collection of jupyter notebooks for demonstrating software.☆169Updated 2 years ago
- ☆240Updated 7 years ago
- A collection of Bayesian data analysis recipes using PyMC3☆562Updated last year
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- List of resources for bayesian inference☆157Updated 6 years ago
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆165Updated 5 years ago
- In which I play with the ideas surrounding causality☆53Updated 3 years ago
- A colourful collection of codes and notebooks, like Planet Sakaar☆55Updated 2 years ago
- Doing Bayesian statistics in Python!☆67Updated 7 years ago
- Implementing Bayes by Backprop☆184Updated 6 years ago
- ☆41Updated 7 years ago
- Bayesian estimation supersedes the t test☆145Updated 3 years ago
- ☆73Updated 7 years ago
- bayesian bootstrapping in python☆121Updated 3 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆175Updated 3 years ago
- Implementation of Hidden Markov Models in pymc3☆61Updated 8 years ago
- ☆80Updated 8 years ago
- A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.☆213Updated 7 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 6 years ago