probabilistic-modeling topic
pyro
Deep universal probabilistic programming with Python and PyTorch
InferPy
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
netdice
A scalable and accurate probabilistic network configuration analyzer verifying network properties in the face of random failures.
spidr
Accelerated machine learning with dependent types
DGBM
Distributional Gradient Boosting Machines
SumProductNetworks.jl
Sum-product networks in Julia.
artificial_neural_networks
A collection of Methods and Models for various architectures of Artificial Neural Networks
mimo
A toolbox for inference of mixture models
Py-BoostLSS
An extension of Py-Boost to probabilistic modelling
bernstein_flow
A normalizing flow using Bernstein polynomials for conditional density estimation.