Projects Tagged with tflite: On-Device Machine Learning, Edge AI, and TensorFlow Lite Deployments
Explore projects tagged with tflite to discover on-device machine learning and edge AI solutions using TensorFlow Lite for low-latency inference, model quantization, and optimized deployment. This curated list of projects highlights mobile (Android, iOS), embedded (microcontrollers, Raspberry Pi), and edge-server implementations with implementation notes, benchmarked model size and latency, quantization-aware training guidance, and hardware acceleration strategies such as NNAPI, Edge TPU, and Coral. Use the filter UI to narrow results by platform, framework version, performance metrics, or source code license, and click through to view code, benchmarks, and contribution guides to accelerate your next TensorFlow Lite project.
