Density Estimation Python Packages

zuko

Normalizing flows in PyTorch

entropy-estimators

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

nflows

Normalizing flows in PyTorch

mellon

Non-parametric density inference for single-cell analysis.

pyknos

Conditional density estimation with neural networks

surjectors

Surjection layers for density estimation with normalizing flows

normflows

PyTorch implementation of normalizing flow models

dadapy

Distance-based Analysis of DAta-manifolds in python

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

fdc

Fast local density clustering for low-dimensional data

torchflows

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

pylians

Libraries to analyze numerical simulations (python3)

gensbi

Generative Models for Simulation-Based Inference in JAX

lwcc

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

sinflow

Sliced Iterative Normalizing Flow

awnn

Implementation of Nearest Neighbor Based Density Estimation

mdade

'mdade' offers a lightweight PyTorch toolbox for Masked Autoregressive models

distribution-playground

2D Probability Distribution "Playground" for Generative Models.

uips

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

nndensity

Implementation of Nearest Neighbor Based Density Estimation

nntry

Implementation of Nearest Neighbor Based Density Estimation

pyroundtrip

Roundtrip: density estimation with deep generative neural networks

ikflow

Open source implementation of the 'IKFlow' inverse kinematics solver