ericmjl / dl-workshopLinks
Crash course to master gradient-based machine learning. Also secretly a JAX course in disguise!
☆228Updated last year
Alternatives and similar repositories for dl-workshop
Users that are interested in dl-workshop are comparing it to the libraries listed below
Sorting:
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆90Updated 4 years ago
- http://cranmer.github.io/stats-ds-book☆73Updated 4 years ago
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- In which I put together my thoughts on the practice of data science.☆301Updated 2 years ago
- Generalized additive models in Python with a Bayesian twist☆78Updated 3 weeks ago
- Statistical Rethinking (2nd Ed) with Tensorflow Probability☆272Updated 3 years ago
- A Pytree Module system for Deep Learning in JAX☆214Updated 2 years ago
- vanilla machine learning☆112Updated 2 years ago
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆330Updated last year
- Using computational thinking to get deep insights on the foundations of linear algebra☆115Updated 5 months ago
- Statistical Rethinking (2nd ed.) with NumPyro☆460Updated 4 months ago
- A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)☆165Updated 4 years ago
- ☆232Updated 3 years ago
- Documentation:☆122Updated 2 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆230Updated 4 years ago
- Tutorials and sampling algorithm comparisons☆75Updated this week
- Just a little MCMC☆231Updated last year
- Bayesian Bandits☆68Updated 2 years ago
- Jax SSM Library☆49Updated 2 years ago
- Gaussian process modelling in Python☆223Updated 9 months ago
- Mathematical operations for JAX pytrees☆200Updated 9 months ago
- A Python library for machine-learning and feedback loops on streaming data☆62Updated 2 years ago
- PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3☆160Updated 5 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆176Updated 3 years ago
- Create publication-quality books from Jupyter notebooks☆239Updated 2 years ago
- legend☆209Updated 2 years ago
- In which I try to demystify the fundamental concepts behind Bayesian deep learning.☆123Updated 7 years ago
- Probabilistic Numerics in Python.☆455Updated 2 months ago
- Structural Time Series in JAX☆199Updated last year
- bayes-toolbox☆93Updated 2 months ago