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.
This tool helps machine learning engineers and researchers streamline their deep learning projects. It automates common tasks like managing model configurations, tracking experiment results, and setting up training loops. You provide your neural network model and data, and it handles the repetitive infrastructure, outputting trained models and comprehensive experiment logs.
Use this if you are a machine learning practitioner who wants to focus on developing models and analyzing results, rather than spending time on setting up boilerplate code for training and logging.
Not ideal if you need a no-code solution or prefer extremely fine-grained, manual control over every aspect of your machine learning infrastructure without any automation.
Stars
39
Forks
27
Language
Python
License
MIT
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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