Density Estimation Python Packages

zuko

Normalizing flows in PyTorch

nflows

Normalizing flows in PyTorch

pyknos

Conditional density estimation with neural networks

mellon

Non-parametric density inference for single-cell analysis.

entropy-estimators

Estimators for the entropy and other information theoretic quantities of continuous distributions

normflows

PyTorch implementation of normalizing flow models

dadapy

Distance-based Analysis of DAta-manifolds in python

surjectors

Surjection layers for density estimation with normalizing flows

lampe

Likelihood-free AMortized Posterior Estimation with PyTorch

pylians

Libraries to analyze numerical simulations (python3)

dddex

The package 'data-driven density estimation x' (dddex) turns any standard point forecasting model into an estimator of the underlying conditional density

fdc

Fast local density clustering for low-dimensional data

torchflows

Normalizing flows in PyTorch

lwcc

LWCC: A LightWeight Crowd Counting library for Python that includes several pretrained state-of-the-art models.

sinflow

Sliced Iterative Normalizing Flow with Minimal Dependencies

awnn

Implementation of Nearest Neighbor Based Density Estimation

gensbi

GenSBI is a library for Simulation-Based Inference using generative models in JAX.

nndensity

Nearest Neighbor Density Estimation

mdade

PyTorch wrapper for Deep Density Estimation Models

distribution-playground

distribution_playground

nntry

Nearest Neighbor Density Estimation

uips

Reduce a large and high-dimensional dataset by downselecting data uniformly in phase space

pyroundtrip

Roundtrip: density estimation with deep generative neural networks

matts-nflows

Normalizing flows in PyTorch