pyfenn/fenn

Friendly Environment for Neural Networks (fenn) is a simple framework that automates ML/DL workflows by providing prebuilt trainers, templates, logging, configuration management, and much more.

53
/ 100
Established
No Package No Dependents
Maintenance 13 / 25
Adoption 7 / 25
Maturity 13 / 25
Community 20 / 25

How are scores calculated?

Stars

39

Forks

27

Language

Python

License

MIT

Category

tensor-algebra-frameworks

Last pushed

Mar 12, 2026

Commits (30d)

0

GitHub
Tensor Algebra Frameworks · 64 frameworks

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/pyfenn/fenn"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Related frameworks

pymc-devs/pytensor

PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions...

94

tensorly/tensorly

TensorLy: Tensor Learning in Python.

77

arogozhnikov/einops

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

77

tensorpack/tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

72

lava-nc/lava-dl

Deep Learning library for Lava

71

Explore ML Frameworks

All categories Trending ML Framework directory Insights