Why do practitioners still use regular tensorflow? [D]

• TensorFlow2.0_Notebooks

  1 37 0.0 Jupyter Notebook

  Implementation of a series of Neural Network architectures in TensorFow 2.0

• aiqc

  7 102 4.9 Python

  End-to-end deep learning on your desktop or server.

Here are examples of how to do keras, tf, or pytorch in a parameterized queue. https://github.com/aiqc/aiqc

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• mmcv

  4 5,596 7.8 Python

  OpenMMLab Computer Vision Foundation

  

Pretty much any custom layer, loss, ops, etc. For some of the most common ones used for objection detection, see here, examples include rotated iou/nms, deformable convolutions, focal loss variants, sync batch norm, etc.

Suggest a related project