A list of production-ready models for resource-constrained devices.

Deploy a MobileNetV2 image classification model on Android by converting PyTorch to TFLite and integrating it into a Kotlin-based mobile app.

Full pipeline for training small on-device classification networks by selecting TIMM models, fine-tuning, quantizing, and testing.