Flax Vision Models
A repository of Deep Learning models in Flax pre-trained on Imagenet. Most of the models instead of being trained from scratch have been ported from exiting repositories such as tf.keras.applications and PyTorch Image Models.
Usage
Installation
Sample Inference Example
Pre-trained Models
VGG Models
| Model | Original Source | Paper |
|---|---|---|
flax_models.vgg.build_vgg16 |
tf.keras.applications.vgg16.VGG16 |
Very Deep Convolutional Networks for Large-Scale Image Recognition |
flax_models.vgg.build_vgg19 |
tf.keras.applications.vgg19.VGG19 |
Very Deep Convolutional Networks for Large-Scale Image Recognition |
Release files for flax-vision-models 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| flax-vision-models-0.0.3.tar.gz | 4.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| flax_vision_models-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.1 kB
Release files / flax-vision-models-0.0.3.tar.gz
| Download URL | flax-vision-models-0.0.3.tar.gz |
|---|---|
| Size | 4.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/4.0.0 CPython/3.10.4
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Release files / flax_vision_models-0.0.3-py3-none-any.whl
| Download URL | flax_vision_models-0.0.3-py3-none-any.whl |
|---|---|
| Size | 6.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.0 CPython/3.10.4
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