Added a Resnet example to quick_start demo #455
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qingqing01
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* remove redundent dep * + github stale.yml * update seq2seq * remove paddle from `requirements.txt`; add paddle version check * rename zh/en readme
thisjiang
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* add netbuilder registry and paddle model to netbuilder * perserve var shape when create new variable in feed op by perserve vardesc map at context * modify CHECK to CHECK_EQ Co-authored-by: Yan Chunwei <yanchunwei@outlook.com>
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* "add mlm params to dygraph ernie1.0" * finish p-tuning v1.0 * mend * delete unused coment * add label_normalized * P-tuning: support Chid task of FewCLUE * 1. decouple evaluate and train * 1.add FewCLUE datasets(9/9) 2.implement p-tuning strategy by transform_function 3.unify train_script beteween `chid` task and other 8 tasks of FewCLUE * add README.md * update FewCLUE data * add predict.py for FewCLUE * update README * update README.md
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From #299. Cleaned up my git tree and doing a new PR.
Added a residual LSTM example from the GNMT paper.
@pengli09 @qingqing01 @reyoung @lcy-seso Thanks for the help on this PR!