Highlights
- Pro
Stars
Econometrics on the GPU (and CPU) via JAX
Step size adaptation for the No-U-Turn Sampler
Example using PyMC in marimo notebooks
An extremely fast Python type checker and language server, written in Rust.
automatically add annotations to untyped python code!
Introduction to Bayesian Time Series Analysis with PyMC
Optax is a gradient processing and optimization library for JAX.
A demo repository showing how to deploy a Marimo notebook on Modal
Repository of Typst templates for Quarto
Neural Network package built on Pytensor
Prepare requirements and deploy Flyte using Helm
Make coding a bit more fun with some nerdy humor
JAX - A curated list of resources https://github.com/google/jax
A Beginner's Guide to Variational Inference
A Shiny app to help people learn (and play with) Hamiltonian Monte Carlo
Interpolation and function approximation with JAX
Probabilistic Programming and Nested sampling in JAX
Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
Simulation based calibration and generation of synthetic data.
Decorators for logging purposes for all your dataframes
A tutorial on how to build stuff with large language models, made simple
A Python package for the statistical analysis of A/B tests.
R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-lin…
Roadmapper - A Roadmap as Code (Rac) python library. Generate professional roadmap diagram using python code.