Bayesian Statistics using Julia and Turing
This repository holds slides and code for a full Bayesian statistics
Python implementation of global optimization with gaussian processes
Fast Bayesian spam filter along lines suggested by Paul Graham
Bayesian inference with probabilistic programming
A Bayesian Analysis Toolkit in Julia
High-performance reactive message-passing based Bayesian engine
Deep universal probabilistic programming with Python and PyTorch
Exploratory analysis of Bayesian models with Julia
Probabilistic Numerical Differential Equation solvers via Bayesian fil
Extension functionality which uses Stan.jl, DynamicHMC.jl
An R package for Bayesian structural equation modeling
Implementation of robust dynamic Hamiltonian Monte Carlo methods
Causal inference, graphical models and structure learning in Julia
A Python library that helps data scientists to infer causation
A Hyperparameter Tuning Library for Keras
Fast, flexible and easy to use probabilistic modelling in Python
Fast Python collaborative filtering for implicit feedback datasets
Community-curated list of software packages and data resources
Automated machine learning with scikit-learn
Probabilistic programming in Python
Anti-Spam SMTP Proxy Server implements multiple spam filters
R packages for PK/PD modeling , BE/BA, drug stability, ivivc, etc.
RASP (Reconstruct Ancestral State in Phylogenies)