HAL_9000 may not be the best deep learning framework, but it is a deep learning framework.
To install the library:
pip install HAL-9000
Workflow of this framework is inspired by Tensorflow’s Keras.
As of now, HAL_9000 offers:
7 different variants of NNs:
-> Perceptron -> Multilayer Perceptron -> Dense Net -> Conv Net -> Vanilla RNN -> LSTM -> DQN
Several regularization methods:
-> Batch Norm -> Layer Norm -> Dropout
Optimizers:
-> Adam -> RMS prop -> SGD
for more info and examples, visit: https://github.com/kumar-harin/HAL_9000
Change Log
4.0.0 (23/02/2021)
Fourth Release
1 maintainer
Metadata
1 maintainer
Release files for HAL-9000 4.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| HAL_9000-4.0.0.tar.gz | 452.8 kB | Details |
Release files / HAL_9000-4.0.0.tar.gz
| Download URL | HAL_9000-4.0.0.tar.gz |
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| Size | 452.8 kB |
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