dlk 0.0.6

dlk: Deep Learning Kit

A Deep Learning Kit

This project is WIP, only provide some basic method, and is not been tested.

WARNING: The documents in `read the docs` is not complete( I do not know what I miss.). You can build the docs locally by read the docs/readme.md.

Install

pip install dlk

or 
git clong this repo and do

python setup.py install

What is this project do?

• Provide a templete for deep learning (especially for nlp) training and deploy.
• Provide parameters search.
• Provide basic architecture search.
• Provide some basic modules and models.
• Provide basic deploy method.

More Feature is Comming

• Add more documents.

• Distill structure.

• Adv training.

• Add disable tokenizer post process.

• Predict

  • Complete the main predict code.
  • Test.
  • Convert to TorchScript.
  • Convert to ONNXRT

• When the high config change the _name of the basic config, the base config should be coverd.

• One optimizer different para groups use different schedulers.

  • Ref diff_schedule
  • Add loss schedule, get best checkpoint by loss.

• Support LightGBM, it's maybe not necessary? Will split to another package.

• Make CRF and more modules which uses the op like for and if to be scriptable（for，if）
• Validating LSTM module is scriptable or not?
• Add UnitTest