https://github.com/oovm/wlnet-modelzoo
https://github.com/oovm/wlnet-modelzoo
deep-learning model-zoo neural-network
Last synced: 5 months ago
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- Host: GitHub
- URL: https://github.com/oovm/wlnet-modelzoo
- Owner: oovm
- Created: 2018-10-21T06:26:29.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-10-30T17:49:53.000Z (over 6 years ago)
- Last Synced: 2025-05-29T16:06:41.244Z (about 1 year ago)
- Topics: deep-learning, model-zoo, neural-network
- Language: Mathematica
- Size: 213 KB
- Stars: 19
- Watchers: 1
- Forks: 2
- Open Issues: 3
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Metadata Files:
- Readme: Readme.md
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README
# NeuralNetworks-Zoo




## Formats
You can download these awesome models in https://m.vers.site/NetModel/
There exist the following format:
- `*.WLNet` format
Standard Wolfram Neural Networks model, support for version upgrade sequences
Can be exported directly to ONNX format
- `*.WXF` format
If the model is more complicated, then the official function is a bit stretched.
This is the extended model using [DeepMath](https://github.com/Moe-Net/DeepMathFantasy), you must install `DeepMath` then you can use them normally.
```Mathematica
PacletInstall@"https://github.com/Moe-Net/DeepMathFantasy/releases/download/v0.1.0/DeepMath-0.1.0.paclet";
<< DeepMath`;
DeepMath`Tools`LayersRegister[];
```
This situation can also be exported directly to ONNX format.
But I don't offer a promise of backward compatibility
- `*.APP` format
If the model consists of multiple parts and uses complex operations, then this format is used
Unfortunately, this case cannot be converted to ONNX format.
## Request
If you really like a fantasy model, but this model doesn't have the ONNX format, then you can make a `Request` on the issue page.
I will try my best to convert that model.
## Contribution
**All Pull Requests are welcome!**
You can add readme, introduce interesting usage examples, build unit tests, fix wrong references, etc.
**Never upload images!**
You can use an external link URL like https://sm.ms/ in markdown