glouppe / dats0001-foundations-of-data-science
Materials for DATS0001 Foundations of Data Science, ULiège
☆37Updated this week
Related projects ⓘ
Alternatives and complementary repositories for dats0001-foundations-of-data-science
- Tutorials and sampling algorithm comparisons☆69Updated this week
- State of the art inference for your bayesian models.☆176Updated last week
- Likelihood-free AMortized Posterior Estimation with PyTorch☆119Updated 3 months ago
- The tiniest of Gaussian Process libraries☆296Updated last week
- Probabilistic Programming and Nested sampling in JAX☆148Updated last week
- ☆107Updated 3 weeks ago
- Stainless neural networks in JAX☆31Updated last month
- Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.☆45Updated last year
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆52Updated 2 years ago
- probabilistic programming focused on fun☆36Updated 3 weeks ago
- Minimal Implementation of Bayesian Optimization in JAX☆84Updated 6 months ago
- http://cranmer.github.io/stats-ds-book☆67Updated 3 years ago
- Bayesian inference and posterior analysis for Python☆43Updated 11 months ago
- Tools for an Aesara-based PPL.☆65Updated 3 weeks ago
- Lectures for INFO8004 Advanced Machine Learning, ULiège☆104Updated 7 months ago
- MCHMC: sampler from an arbitrary differentiable distribution☆70Updated this week
- Self-tuning HMC algorithms and evaluations☆17Updated last month
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆40Updated last year
- Add a tqdm progress bar to your JAX scans and loops.☆96Updated 3 weeks ago
- ☆77Updated this week
- Community-sourced list of papers and resources on neural simulation-based inference.☆96Updated 5 months ago
- JAX Arrays for human consumption☆88Updated last year
- Unleash the true power of scheduling☆24Updated this week
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆219Updated last week
- Bayesian Bandits☆66Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆96Updated last year
- Stencil computations in JAX☆66Updated last year
- Multiple dispatch over abstract array types in JAX.☆105Updated last week
- A system for scientific simulation-based inference at scale.☆161Updated 7 months ago
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆88Updated 3 years ago