Density Estimation Python Packages

zuko

Normalizing flows in PyTorch

nflows

Normalizing flows in PyTorch

mellon

Non-parametric density inference for single-cell analysis.

pyknos

Conditional density estimation with neural networks

normflows

PyTorch implementation of normalizing flow models

surjectors

Surjection layers for density estimation with normalizing flows

lampe

Likelihood-free AMortized Posterior Estimation with PyTorch

dddex

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

dadapy

Distance-based Analysis of DAta-manifolds in python

entropy-estimators

Estimators for entropy and other information theoretic quantities of continuous distributions

pylians

Libraries to analyze numerical simulations (python3)

fdc

Fast local density clustering for low-dimensional data

torchflows

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

lwcc

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

gensbi

Generative Models for Simulation-Based Inference in JAX

sinflow

Sliced Iterative Normalizing Flow with Minimal Dependencies

mdade

PyTorch wrapper for Deep Density Estimation Models

awnn

Adaptive Weighted Nearest Neighbor Density Estimation

nndensity

Implementation of Nearest Neighbor Based Density Estimation

uips

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

distribution-playground

2D Probability Distribution "Playground" for Generative Models.

nntry

Implementation of Nearest Neighbor Based Density Estimation

pyroundtrip

Roundtrip: density estimation with deep generative neural networks

matts-nflows

Normalizing flows in PyTorch