Synthaze/EpyNN
Educational python for Neural Networks.
This project provides simplified, understandable building blocks for creating neural networks, letting you quickly assemble and experiment with common architectures like CNNs and LSTMs. It takes raw data, processes it through your chosen network layers, and produces model outputs ready for evaluation. It's designed for educators, students, and scientists who want to learn or teach the fundamentals of neural networks by building them from scratch.
128 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are a teacher, student, or scientist with basic Python skills and want to deeply understand how neural network architectures work by implementing them yourself.
Not ideal if you need a high-performance, production-ready deep learning framework with advanced features and optimizations.
Stars
128
Forks
13
Language
Python
License
GPL-3.0
Category
Last pushed
Jan 08, 2024
Commits (30d)
0
Dependencies
17
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