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kotlinlang

Today the <https://github.com/JetBrains/KotlinDL/commit/4d5429df5a1a209bb637654197914238d33d3bbd|basic ONNX support> was merged to the KotlinDL, there are a few new ONNX models in the ModelHub (renamed from the old good ModelZoo)
1. ResNet18 (v1, v2)
2. ResNet34 (v1, v2)
3. ResNet50 (v1, v2)
4. ResNet101 (v1, v2)
5. ResNet152 (v1, v2)
6. EfficientNet4Lite
7. ResNet50 (noTop for transfer learning purposes)
8. SSD model for object detection
9. Face Alignment 2D model with 106 landmarks
And the special <https://github.com/JetBrains/KotlinDL/blob/master/examples/src/main/kotlin/examples/onnx/cv/custom/additionalTrainingWithTensorFlow.kt|example>: Transfer Learning for ONNX model (fine-tuning with TensorFlow)