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Plot Feature For Multi Model Training
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Support for Imbalanced Datasets (simple and fast handling for unbalanced datasets)
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Model Compression
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Custom TFRecords Formats
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Custom Model Creation
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Improvisation in training loop
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Test Time Augmentations
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SOTA Augmentations
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Label Smoothing
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Smoother training with option of batch wise or epoch wise LR update.
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Addition of Logging facilities
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GRADCAM for model output visualization & debugging
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Support for ResNext, SeResNet, SeResNext, NasNet (all variants).
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Wide range of evaluation metrics.
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