alt-i2v
Image embedding
An implementation of a deep learning-based image representation learning approach using a modified fully connected layer and transfer learning from VGG16
alternative illustration2vec implitation of sigmoids of fully connected layer
34 stars
2 watching
2 forks
Language: Python
last commit: about 7 years ago
Linked from 1 awesome list
deep-learningkerasmulticlass-classificationotakuvectorization
soruly/awesome-acgRelated projects:
| Repository | Description | Stars |
|---|---|---|
 homles11/igcv3 | An implementation of an efficient deep neural network architecture | 189 |
 benedekrozemberczki/role2vec | An implementation of a deep learning-based method for creating vector representations of nodes in a graph | 166 |
 imlab-uiip/keras-segnet | An implementation of a deep learning architecture for image segmentation using the Keras framework. | 185 |
 isekai-portal/link-context-learning | An implementation of a multimodal learning approach to improve language models' ability to recognize unseen images and understand novel concepts. | 90 |
 pathak22/context-encoder | Unsupervised feature learning by image inpainting using Generative Adversarial Networks (GANs) | 887 |
 ryankiros/visual-semantic-embedding | A Python implementation of an image-sentence embedding method using LSTM networks. | 426 |
 bonlime/keras-deeplab-v3-plus | An implementation of Deeplabv3+ in Keras with pretrained weights and customization options for semantic image segmentation. | 1,359 |
| benedekrozemberczki/sine | An implementation of a scalable method for learning node representations in complex networks | 72 |
 ibm/max-inception-resnet-v2 | An image classification model using a third-generation deep residual network. | 28 |
 yuyang-huang/keras-inception-resnet-v2 | Represents an implementation of the Inception-ResNet v2 deep learning model in Keras. | 180 |
| benedekrozemberczki/tene | A sparsity-aware implementation of a deep learning algorithm for graph embedding with text information. | 73 |
 google-research/big_transfer | Pre-trained models and code for fine-tuning image recognition tasks using deep learning frameworks | 1,515 |
 zhengwang100/rect | A deep learning framework for graph representation learning with partially labeled data | 19 |
| benedekrozemberczki/diff2vec | A reference implementation of Diffusion2Vec, a method for learning node embeddings from graph data. | 127 |
 gwgundersen/dpcca | Develops a method to learn shared latent structure between biomedical images and gene expression data | 25 |