MobileNetV2
MobileNet V2 model
An implementation of MobileNet V2 using TensorFlow, providing basic functionality for training and testing the network
A Tensorflow implementation of MobileNet V2
150 stars
11 watching
72 forks
Language: Python
last commit: almost 6 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| A Python implementation of MobileNetV2 architecture using MXNet/Gluon for image classification and other computer vision tasks. | 85 |
| Reproduction of MobileNetV2 using MXNet | 129 |
| A Keras implementation of MobileNetV2 with support for training and fine-tuning | 321 |
| An implementation of Google's MobileNets in TensorFlow for object detection and image classification tasks. | 1,619 |
| An implementation of MobileNetV2 in PyTorch for image classification tasks. | 271 |
| Generates deployable models from natural language instructions | 1,975 |
| A Caffe implementation of Google's MobileNets, providing pretrained models on ImageNet for image classification tasks | 1,260 |
| An implementation of a computationally efficient deep neural network architecture designed for mobile devices with limited computing power. | 383 |
| An implementation of ShuffleNet V2 as a deep learning model in Caffe2 for computer vision tasks | 25 |
| An implementation of MobileNetV3 in PyTorch with pre-trained models | 783 |
| A TensorFlow implementation of DeepLab using ResNet 101 architecture | 22 |
| An implementation of Google's QANet for machine reading comprehension using TensorFlow. | 983 |
| A TensorFlow-based implementation of the SegNet segmentation algorithm, with modifications to address index unravel issues and support multiple features such as dilation and multi-resolution learning. | 369 |
| Tutorials and projects on building, deploying, and using TensorFlow Lite models for mobile applications | 133 |
| A high-level networking API for real-time simulations with remote procedure call and object state replication primitives | 26 |