torchwisdom
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This library is built on the top of pytorch as one of the most popular deep learning frameworks. This library got its inspiration from keras, fastai and torchtools. The purpose of this library is to make deep learning engineer or scientist easier to train the neural network.
Some of the package that is available in this library are:
- tabular
- audio
- text
- vision
The package of the library represents a toolset to train a kind of data, from tabular, audio, text and vision kind of dataset. This library is still under construction to version 0.1 alpha.
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Release files for torchwisdom 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| torchwisdom-0.0.2.tar.gz | 43.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| torchwisdom-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 109.8 kB
Release files / torchwisdom-0.0.2.tar.gz
| Download URL | torchwisdom-0.0.2.tar.gz |
|---|---|
| Size | 43.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3
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Release files / torchwisdom-0.0.2-py3-none-any.whl
| Download URL | torchwisdom-0.0.2-py3-none-any.whl |
|---|---|
| Size | 66.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3
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