A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

caffe computer-vision model-zoo tensorflow model models keras pytorch pretrained-models coreml onnx tensorflow-lite tflite tensorflowjs tfjs openvino edgetpu mediapipe tflite-models tf-trt

• Updated Oct 24, 2026
• Python

This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and fro…

docker converter caffe mxnet tensorflow keras pytorch tensorrt coreml onnx tensorflow-lite tflite tensorflowjs tfjs openvino models-converter edgetpu tf-trt

• Updated Oct 9, 2022
• Python

Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. Supports invers…

docker converter tensorflow tensorflow-models tensorrt coreml onnx tensorflow-lite tflite tensorflowjs tfjs openvino models-converter edgetpu mediapipe depthai tf-trt models-conver

• Updated Sep 4, 2022
• Python

Multiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation. Intel iHD GPU (iGPU) support. NVIDIA GPU (dGPU) support.

mxnet tensorflow models pytorch tensorrt myriad onnx tensorflowlite tflite tensorflowjs openvino models-converter edgetpu depthai tf-trt

• Updated Apr 17, 2021
• Dockerfile

Optimize TensorFlow (TF) Models For Deployment with NVIDIA TensorRT.

model-optimization tf-trt dl-optimization tensorflow-tensorrt high-performance-inference

• Updated Dec 19, 2024

A library to help with the development of AI models with Keras, with a focus on edge / IoT applications. Based originally on https://github.com/yingkaisha/keras-unet-collection

iot neural-network keras edge classification segmentation quantization unet tf-data deeplabv3 tflite deeplab-v3-plus edge-ai tensorflow2 edgetpu albumentations coral-tpu tf-trt efficientnet-lite

• Updated Nov 12, 2026
• Python

The pupose of this project is to do the inference of models YOLOv3 and YOLOv3-Tiny using the the TF-TRT (TensorFlow-TensorRT) Python API with TensorFlow v1.15

machine-learning deep-learning tensorflow artificial-intelligence nvidia object-detection tensorrt yolov3 jetson-xavier jetson-nano tf-trt tensorflow-tensorrt

• Updated Mar 27, 2022
• Python