density-estimation topic

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

taldatech

Real NVP PyTorch a Minimal Working Example | Normalizing Flow

senya-ashukha

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

LukasRinder

ML algorithm for real-time classification

CarsonScott

⚡ Lightning fast density estimation in Julia ⚡

joshday

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

mackelab

Neural Relation Understanding: neural cardinality estimators for tabular data

naru-project

Discrete Normalizing Flows implemented in PyTorch

TrentBrick

PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)

L0SG

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

ermongroup