aloctavodia
Follow
Stars
Tool for exploring probability distributions.
BAyesian Model-Building Interface (Bambi) in Python.
A Python package for causal inference in quasi-experimental settings
Kullback-Leibler projections for Bayesian model selection in Python
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
"Swappable Module" compiler for the Stan probabilistic programming language.
Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.
Exploratory analysis of Bayesian models with Julia
Database with posteriors of interest for Bayesian inference
Template for writing a PhD thesis in Markdown
Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.
"Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
A framework for modeling and simulating dynamical systems
Companion webpage to the book "Mathematics For Machine Learning"
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
WebGL accelerated JavaScript molecular graphics library
Deep Learning with Theano, published by Packt
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"