manassharma07/crysx_nn
A simplistic and efficient pure-python neural network library from Phys Whiz.
This tool helps machine learning engineers and researchers build and experiment with neural networks for various tasks. You input structured numerical data representing your problem, and it outputs a trained neural network capable of making predictions or classifications. It's designed for those who need a transparent and efficient way to construct and understand neural network architectures.
No commits in the last 6 months. Available on PyPI.
Use this if you are a machine learning practitioner, student, or researcher who needs to create, train, and understand custom neural networks using a pure-Python library with good performance on both CPUs and GPUs.
Not ideal if you need a high-level, production-ready deep learning framework with extensive pre-built models and complex functionalities, or if you prefer a graphical user interface for model development.
Stars
23
Forks
3
Language
Python
License
MIT
Category
Last pushed
Jul 12, 2023
Commits (30d)
0
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