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Author:
Szymon Ĺwiderski
License:
MIT License
Copyright (c) 2024 PjuralSzymon
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated ...
Summary:
growingnn is a cutting-edge Python package that introduces a dynamic neural network architecture learning algorithm. This innovative approach allows the neural network to adapt its structure during training, optimizing both weights and architecture. Leveraging a Stochastic Gradient Descent-based optimizer and guided Monte Carlo tree search, the package provides a powerful tool for enhancing model performance. Now with PyTorch support for enhanced performance and GPU acceleration!
Latest version:
0.4.0
Required dependencies:
imgaug
|
matplotlib
|
numpy
|
opencv-python
|
pyvis
|
scikit-learn
|
scipy
Optional dependencies:
cupy
|
cupy-cuda11x
|
cupy-cuda12x
|
torch
|
torchvision
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