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Deep learning

Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.

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DPeled
DPeled commented Jun 14, 2022

I've noticed that there is an error in the code:
https://github.com/pytorch/serve/blob/a4d5090e114cdbeddf5077a817a8cd02d129159e/ts/model_loader.py#L92

There is an attempt to read the MANIFEST.json file, and there is use of the / charecter which used as a seperator in the Linux os, and in Windows there is use of the back-slash \, so this line creates always an invalid path so the loader d

bug good first issue
djl
zachgk
zachgk commented Apr 20, 2022

Description

This issue is to create the TabNet model and add it to the basic model zoo. TabNet is a good example of a deep learning model that will work with the tabular modality. Then, it can be trained or tested with an implementation of the CsvDataset such as AirfoilRandomAccess or AmesRandomAccess.

References

  • Paper: [TabNet: Attentive Interpretable Tabular Learning](htt
enhancement good first issue Call for Contribution

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.

  • Updated Nov 26, 2020
  • Java

HMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.

  • Updated Jun 30, 2022
  • Java
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