Density Estimation Python Packages

zuko

Normalizing flows in PyTorch

nflows

Normalizing flows in PyTorch

mellon

Non-parametric density inference for single-cell analysis.

entropy-estimators

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

pyknos

Conditional density estimation with neural networks

normflows

PyTorch implementation of normalizing flow models

gibbus

Flexible analytic log-concave distributions fitted by maximum likelihood, with support-aware modeling and optional mixtures for multimodal data.

dddex

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

lampe

Likelihood-free AMortized Posterior Estimation with PyTorch

surjectors

Surjection layers for density estimation with normalizing flows

dadapy

Distance-based Analysis of DAta-manifolds in python

lwcc

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

pylians

Libraries to analyze numerical simulations (python3)

fdc

Fast local density clustering for low-dimensional data

gensbi

Generative Models for Simulation-Based Inference in JAX

awnn

Implementation of Nearest Neighbor Based Density Estimation

sinflow

Sliced Iterative Normalizing Flow with Minimal Dependencies

matts-nflows

Normalizing flows in PyTorch

torchflows

Modern normalizing flows in Python. Simple to use and easily extensible.

mdade

PyTorch wrapper for Deep Density Estimation Models

distribution-playground

2D Probability Distribution "Playground" for Generative Models.

nndensity

Implementation of Nearest Neighbor Based Density Estimation

nntry

Implementation of Nearest Neighbor Based Density Estimation

uips

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