Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurI...
Awesome resources on normalizing flows.
Normalizing flows in PyTorch
Pytorch implementations of density estimation algorithms: BNAF, Glow, MA...
An extension of XGBoost to probabilistic modelling
DGMs for NLP. A roadmap.
PyTorch Implementation of PortaSpeech: Portable and High-Quality Generat...
Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
Repository for Deep Structural Causal Models for Tractable Counterfactua...
Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervi...
Manifold-learning flows (ℳ-flows)
Reimplementation of Variational Inference with Normalizing Flows (https:...
Network-to-Network Translation with Conditional Invertible Neural Networks
Code for reproducing Flow ++ experiments