Search Packages

nflows

Normalizing flows in PyTorch

zuko

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

entropy-estimators

Estimators for entropy and other information theoretic quantities of continuous distributions

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

fdc

Fast local density clustering for low-dimensional data

pylians

Libraries to analyze numerical simulations (python3)

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.

sinflow

Sliced Iterative Normalizing Flow

gensbi

Generative Models for Simulation-Based Inference in JAX

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

nntry

Implementation of Nearest Neighbor Based Density Estimation

distribution-playground

2D Probability Distribution "Playground" for Generative Models.

pyroundtrip

Roundtrip: density estimation with deep generative neural networks

matts-nflows

Normalizing flows in PyTorch