condensenet-tensorflow
CondenseNet model
An implementation of CondenseNet, a model for efficient neural networks using learned group convolutions.
tensorflow implementation of CondenseNet: An Efficient DenseNet using Learned Group Convolutions
29 stars
4 watching
15 forks
Language: Python
last commit: about 7 years ago
Linked from 1 awesome list
weiaicunzai/awesome-image-classificationRelated projects:
| Repository | Description | Stars |
|---|---|---|
 kwotsin/tensorflow-enet | A deep neural network implementation for real-time semantic segmentation in computer vision | 257 |
 fabianbormann/tensorflow-deconvnet-segmentation | An implementation of a deep learning algorithm for image segmentation using convolutional neural networks | 220 |
 preritj/segmentation | Deep learning models for semantic segmentation of images | 101 |
 dingliu0305/tree-tensor-networks-in-machine-learning | An implementation of a tree tensor network model for machine learning tasks using Python and TNContract library. | 29 |
 eilene/gwnn | A TensorFlow implementation of a graph convolution algorithm using wavelet transforms instead of traditional methods. | 64 |
 taehoonlee/tensornets | A collection of pre-trained neural network models with simple interfaces for easy integration into machine learning workflows. | 1,004 |
 marvinteichmann/tensorflow-fcn | An implementation of a fully convolutional network architecture for image segmentation using VGG weights. | 1,102 |
| kwotsin/tensorflow-xception | An implementation of a deep learning model for computer vision tasks using TensorFlow | 208 |
 tkuanlun350/tensorflow-segnet | 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 |
 ntedgi/node-efficientnet | A Node.js implementation of the EfficientNet deep learning model architecture. | 258 |
 shekkizh/fcn.tensorflow | An implementation of a deep learning model for image segmentation using TensorFlow | 1,251 |
 shichenliu/condensenet | An efficient CNN architecture for mobile devices with learned group convolutions and dense connectivity | 694 |
 theduynguyen/keras-fcn | An implementation of fully convolutional neural networks for semantic segmentation using TensorFlow as the backend. | 15 |
 tensorflow/gnn | Builds Graph Neural Networks on the TensorFlow platform using heterogeneous graphs and various machine learning techniques. | 1,372 |
| tensorflow/text | Preprocessing and processing tools for text data in machine learning models | 1,239 |