Here are
103 public repositories
matching this topic...
Awesome resources on normalizing flows.
Updated
Apr 20, 2022
Python
Normalizing flows in PyTorch
Updated
Dec 2, 2021
Python
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
Updated
Jul 12, 2021
Python
Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
Updated
Apr 23, 2020
Python
PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech
Updated
Feb 17, 2022
Python
Manifold-learning flows (ℳ-flows)
Updated
Nov 13, 2020
Jupyter Notebook
Network-to-Network Translation with Conditional Invertible Neural Networks
Updated
Apr 20, 2021
Python
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
Updated
Mar 5, 2021
Jupyter Notebook
Updated
Sep 3, 2018
Python
Updated
Jul 5, 2019
Python
Code for reproducing Flow ++ experiments
Updated
Apr 27, 2019
Python
Pytorch implementation of Block Neural Autoregressive Flow
Updated
Aug 19, 2021
Python
Understanding normalizing flows
Updated
Dec 2, 2019
Jupyter Notebook
Real NVP PyTorch a Minimal Working Example | Normalizing Flow
Updated
Nov 6, 2020
Jupyter Notebook
A PyTorch implementation of "WaveFlow: A Compact Flow-based Model for Raw Audio"
Updated
Apr 6, 2021
Jupyter Notebook
Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"
Updated
Jan 2, 2022
Python
Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
Updated
Feb 10, 2022
Jupyter Notebook
Discrete Normalizing Flows implemented in PyTorch
Updated
Oct 4, 2021
Jupyter Notebook
A Julia framework for invertible neural networks
Updated
Apr 26, 2022
Julia
Updated
Jan 26, 2017
Python
Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for modelling monotonic transformations in normalizing flows.
Updated
Oct 12, 2021
Python
PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity."
Updated
Dec 28, 2020
Python
Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling"
https://arxiv.org/abs/1904.02399
Updated
Apr 1, 2020
Python
Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
Updated
Feb 1, 2021
Python
Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
Updated
Dec 9, 2021
Python
Official repository for "Categorical Normalizing Flows via Continuous Transformations"
Updated
Feb 22, 2021
Python
Separating Normalizing Flows code from Pyro and improving API
Updated
Aug 26, 2021
Python
Flow-based generative model for 3D point clouds.
Updated
Oct 30, 2020
Python
Implementation of non-linear independent components estimation (NICE) in pytorch
Updated
May 23, 2020
Python
Improve this page
Add a description, image, and links to the
normalizing-flows
topic page so that developers can more easily learn about it.
Curate this topic
Add this topic to your repo
To associate your repository with the
normalizing-flows
topic, visit your repo's landing page and select "manage topics."
Learn more
You can’t perform that action at this time.
You signed in with another tab or window. Reload to refresh your session.
You signed out in another tab or window. Reload to refresh your session.