UMNN

Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for modelling monotonic transformations in normalizing flows.

neural-network

View on GitHub

127 Stars

20 Forks

127 Watchers

Python Language

bsd-3-clause License

100 SrcLog Score

Cost to Build

$1.94M

Market Value

$5.63M

How is this calculated?

Growth over time

8 data points · 2021-08-01 → 2026-04-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about UMNN

Question copied to clipboard

What is the AWehenkel/UMNN GitHub project? Description: "Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for modelling monotonic transformations in normalizing flows.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone UMNN

Clone via HTTPS

git clone https://github.com/AWehenkel/UMNN.git

Clone via SSH

[email protected]:AWehenkel/UMNN.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the UMNN issue tracker:

Open GitHub Issues

Similar to UMNN

tensorflow pytorch CNTK spaCy awesome-deep-learning python-machine-learning-book handson-ml tfjs tflearn HanLP tfjs-core Machine-Learning-Tutorials EffectiveTensorflow gensim php-ml brain.js TensorFlow-Tutorials have-fun-with-machine-learning tiny-dnn neurojs TensorLayer Paddle-Lite chainer seq2seq awesome-artificial-intelligence onnx tutorials TensorFlow-World neon tensorflow_cookbook