Pre-trained models based on TensorLayerX. TensorLayerX is a multi-backend AI framework, which can run on almost all operation systems and AI hardwares, and support hybrid-framework programming. The currently version supports TensorFlow, MindSpore, PaddlePaddle, PyTorch, OneFlow and Jittor as the backends.
Quick Start
Installation
Via pip
# install from pypi
pip3 install tlxzoo
train
python demo/vision/image_classification/vgg/train.py
predict
python demo/vision/image_classification/vgg/predict.py
1 maintainer
Metadata
1 maintainer
Release files for tlxzoo 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tlxzoo-0.0.1.tar.gz | 113.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tlxzoo-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 250.3 kB
Release files / tlxzoo-0.0.1.tar.gz
| Download URL | tlxzoo-0.0.1.tar.gz |
|---|---|
| Size | 113.4 kB |
| Tags | Source |
|
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/4.0.0 CPython/3.9.2
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Release files / tlxzoo-0.0.1-py3-none-any.whl
| Download URL | tlxzoo-0.0.1-py3-none-any.whl |
|---|---|
| Size | 137.0 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/4.0.0 CPython/3.9.2
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