This repository provides a collection of pre-trained models that have been converted between various machine learning frameworks and deployment targets. Supported conversions include TensorFlow to TensorFlow Lite (with Float32/16/INT8 quantization), ONNX, OpenVINO, EdgeTPU, CoreML, TensorFlow.js, and TF-TRT. The focus is primarily on computer vision models, with conversion scripts enabling deployment across edge devices, mobile platforms, and optimized inference runtimes.