45 Open Source Density Estimation Software Projects

PyTorch implementations of algorithms for density estimation

Normalizing flows in PyTorch

Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)

Pytorch implementation of Block Neural Autoregressive Flow

Code for reproducing Flow ++ experiments

Manifold-learning flows (ℳ-flows)

Real NVP PyTorch a Minimal Working Example | Normalizing Flow

Density estimation using Gaussian mixtures in the presence of noisy, heterogeneous and incomplete data

Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead

ML algorithm for real-time classification

Discrete Normalizing Flows implemented in PyTorch

Implementation of normalizing flows in TensorFlow 2 including a small tutorial.

⚡ Lightning fast density estimation in Julia ⚡

Neural Relation Understanding: neural cardinality estimators for tabular data

Gradient-domain Volumetric Photon Density Estimation, SIGGRAPH 2018

Probabilistic Supervised Learning for mlr3

Nonparametric Score Estimators, ICML 2020

Regularized Neural ODEs (RNODE)

Implementation of non-linear independent components estimation (NICE) in pytorch

Libraries to analyze numerical simulations

The julia package for nonparametric density estimate and regression

Random Forests for Density Estimation in Python

A clean room implementation of Structured Volume Sampling by Bowles and Zimmermann in Unity

A TensorFlow implementation of Invertible Residual Networks

Deep nonparametric estimation of discrete conditional distributions via smoothed dyadic partitioning

Libraries to analyze numerical simulations (python3)

Spatial capture-recapture models in Stan

A list of awesome resources on normalizing flows.

[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity."

Code for reproducing results in the sliced score matching paper (UAI 2019)

Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs

MintNet: Building Invertible Neural Networks with Masked Convolutions

We got a stew going!

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

A Python Library for Deep Probabilistic Modeling

don't regress

A collection of commonly used datasets as benchmarks for density estimation in MaLe

Density ratio estimation in Julia

Cross-Entropy Clustering R Package

An R package for kernel density estimation with parametric starts and asymmetric kernels.

A repository to learn about Flows, mostly from papers

Source code for "Gradient-domain Photon Density Estimation", Eurographics 2017

PyTorch implementation of normalizing flow models

PyTorch implementation of the Masked Autoregressive Flow