RaulPL/awesome-gaussian-processes
A curated list of resources for learning Gaussian Processes
Interested in data visualization, reinforcement learning, decision making, Bayesian statistics and causal inference.
A curated list of resources for learning Gaussian Processes
High-Performance Symbolic Regression in Python and Julia
𝗢𝘄𝗻 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation analysis.
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Structural Time Series in JAX
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Compositional Linear Algebra
State Space Models library in JAX
Package management made easy
Panel: The powerful data exploration & web app framework for Python
Code associated with Corise.com Conainer Fundamentals Course
With Holoviews, your data visualizes itself.
An implementation of the Deconfounded Recommender using NumPyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Personal blog
Personal blog
Exploratory analysis of Bayesian models with Python
blog
Bayesian statistics notes
Multi-armed bandits notes
Configuration files
Minimalistic gridworld package for OpenAI Gym