Published June 12, 2023
| Version v1.7.0
Software
Open
normflows: A PyTorch Package for Normalizing Flows
Creators
- 1. University of Cambridge
- 2. Max Planck Institute for Intelligent Systems
Description
normflows is a Python package for normalizing flows. It allows to build normalizing flow models from a suite of base distributions, flow layers, and neural networks. The package is implemented in the popular deep learning framework PyTorch, which simplifies the integration of flows in larger machine learning models or pipelines. It supports most of the common normalizing flow architectures, such as Real NVP, Glow, Masked Autoregressive Flows, Neural Spline Flows, Residual Flows, and many more.
Files
VincentStimper/normalizing-flows-v1.7.0.zip
Files
(685.9 kB)
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md5:08017a12f68310648996338fd4b04187
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Additional details
Related works
- Is supplement to
- https://github.com/VincentStimper/normalizing-flows/tree/v1.7.0 (URL)