Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
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Updated
Aug 29, 2021 - Python
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
Everything you want to know about Google Cloud TPU
Keras implementation of the renowned publication "DeepFace: Closing the Gap to Human-Level Performance in Face Verification" by Taigman et al. Pre-trained weights on VGGFace2 dataset.
Automated provisioner of a Google Cloud TPU environment for training in PyTorch
NLP Code Snippets and Conference related
A collection of CNN models are trained on Cloud TPU by using PyTorch/XLA
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