density-estimation

Awesome resources on normalizing flows.

PyTorch implementation of normalizing flow models

PyTorch implementations of algorithms for density estimation

Normalizing flows in PyTorch

Code for reproducing Flow ++ experiments

Pytorch implementation of Block Neural Autoregressive Flow

Distance-based Analysis of DAta-manifolds in python

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

Probabilistic Learning for mlr3

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

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

Likelihood-free AMortized Posterior Estimation with PyTorch

Discrete Normalizing Flows implemented in PyTorch

Open source implementation to the paper "IKFlow: Generating Diverse Inverse Kinematics Solutions"

Neural Relation Understanding: neural cardinality estimators for tabular data

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

Regularized Neural ODEs (RNODE)

⚡ Lightning fast density estimation in Julia ⚡

Non-parametric density inference for single-cell analysis.

ML algorithm for real-time classification