davidnabergoj/torchflows
Modern normalizing flows in Python. Simple to use and easily extensible.
This library helps machine learning researchers and practitioners train generative models and estimate data density using modern normalizing flows. You provide your dataset, and it outputs a model that can generate new, similar data points or calculate the likelihood of existing ones. It's designed for those working with advanced machine learning models who need flexible tools for generative tasks.
Available on PyPI.
Use this if you are a machine learning researcher or data scientist needing to build and experiment with state-of-the-art normalizing flow models for data generation or density estimation.
Not ideal if you are looking for a simple, off-the-shelf solution for basic data analysis or if you are not familiar with machine learning concepts and Python programming.
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12
Forks
2
Language
Python
License
MIT
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
Dependencies
4
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