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TensorFlow Community Models

This repository provides a curated list of the GitHub repositories with machine learning models and implementations powered by TensorFlow 2.

Note: Contributing companies or individuals are responsible for maintaining their repositories.

Computer Vision

Image Recognition

Model Paper Features Maintainer
DenseNet 169 Densely Connected Convolutional Networks • FP32 Inference Intel
Inception V3 Rethinking the Inception Architecture
for Computer Vision
• Int8 Inference
• FP32 Inference
Intel
Inception V4 Inception-v4, Inception-ResNet and the Impact
of Residual Connections on Learning
• Int8 Inference
• FP32 Inference
Intel
MobileNet V1 MobileNets: Efficient Convolutional Neural Networks
for Mobile Vision Applications
• Int8 Inference
• FP32 Inference
Intel
ResNet 101 Deep Residual Learning for Image Recognition • Int8 Inference
• FP32 Inference
Intel
ResNet 50 Deep Residual Learning for Image Recognition • Int8 Inference
• FP32 Inference
Intel
ResNet 50v1.5 Deep Residual Learning for Image Recognition • Int8 Inference
• FP32 Inference
• FP32 Training
Intel

Object Detection

Model Paper Features Maintainer
R-FCN R-FCN: Object Detection
via Region-based Fully Convolutional Networks
• Int8 Inference
• FP32 Inference
Intel
SSD-MobileNet MobileNets: Efficient Convolutional Neural Networks
for Mobile Vision Applications
• Int8 Inference
• FP32 Inference
Intel
SSD-ResNet34 SSD: Single Shot MultiBox Detector • Int8 Inference
• FP32 Inference
• FP32 Training
Intel

Segmentation

Model Paper Features Maintainer
Mask R-CNN Mask R-CNN • Automatic Mixed Precision
• Multi-GPU training support with Horovod
• TensorRT
NVIDIA
U-Net Medical Image Segmentation U-Net: Convolutional Networks for Biomedical Image Segmentation • Automatic Mixed Precision
• Multi-GPU training support with Horovod
• TensorRT
NVIDIA

Contributions

If you want to contribute, please review the contribution guidelines.