A package of deep-learning utilities.
Project description
Zeras
A package of deep-learning utilities.
Description
Common to tf and torch:
from Zeras.data_parallelism import DataParallelism, get_files_with_ext
from Zeras.data_batcher import DataBatcher
from Zeras.vocab import Vocab
from Zeras.model_settings_baseboard import ModelSettingsBaseboard
Specific to tf:
from Zeras.model_baseboard import ModelBaseboard
from Zeras.model_baseboard import initialize_from_ckpt
from Zeras.model_baseboard import remove_from_trainable_variables
from Zeras.optim import linear_warmup_and_exp_decayed_lr
from Zeras.optim import linear_warmup_and_polynomial_decayed_lr
from Zeras.optim import adam_optimizer
from Zeras.optim import adam_wd_optimizer
from Zeras.optim import AdamWeightDecayOptimizer
import Zeras.zoo_nn as zrs_nn
import Zeras.zoo_layers as zrs_layers
Installation
From PyPI distribution system:
pip install Zeras
Or from the code:
git clone https://github.com/Li-Ming-Fan/Zeras
cd Zeras
make clean install
Or just incorporate the directory Zeras/ to your project.
Usage
For usage of this package, please refer to the repositories:
https://github.com/Li-Ming-Fan/text_classification
https://github.com/Li-Ming-Fan/transformer-tensorflow
https://github.com/Li-Ming-Fan/pointer-generator-refactored
Acknowledgement
The name "Zeras" is a variant from Keras. We use "Z" because it makes the direcory Zeras/ always display in the last (or first) and do not intersect other directories.
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