itdxer/neupy
NeuPy is a Tensorflow based python library for prototyping and building neural networks
This is a Python library for machine learning engineers and data scientists to build and experiment with neural networks. You can input various datasets and define network architectures to train models for tasks like data clustering, visualization, and pattern recognition. It helps you quickly prototype and test different deep learning models powered by TensorFlow.
734 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer or data scientist needing a flexible Python framework to rapidly prototype and build neural networks for diverse applications, especially if you work with TensorFlow.
Not ideal if you are a beginner looking for a fully managed, low-code solution for deep learning, or if you require active development and community support for a production system.
Stars
734
Forks
160
Language
Python
License
MIT
Category
Last pushed
Nov 18, 2024
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