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