ai-zipper offers numerous AI model(CNN) compression methods, also it is easy to embed into your own source code
- ai-zipper offers several AI-Optimization and/or Model-Compression methods for CNN based networks
- List of methods that will be offered later:
- Quantization
- Unstructured Pruning
- Structured Pruning
- Knowledge Distillation
- ...and more
- List of methods that will be offered later:
- You need ai-zipper when your model(network) is exceptionally slow, or too big to put into your system
- ai-zipper reduces the size of your convolutional network, and improves inference latency
- List below shows which package is used for specific methods:
- Quantization:
- ai-zipper uses Tensorflow Lite to offer Quantization
- Other methods will be posted later...
- Quantization:
- Downloading through PyPI will be supported later...
- ai-zipper offers easy-to-import APIs for each methods.
- It also gives one-shot method for beginners (which will be supported later)