Metadata-Version: 2.1
Name: keras-models
Version: 0.0.5
Summary: Keras Models Hub
Home-page: https://github.com/Marcnuth/Keras-Models
Author: Marcnuth
Author-email: hxianxian@gmail.com
License: Apache License 2.0
Description: # Keras Models Hub
        
        ![PyPI - Downloads](https://img.shields.io/pypi/dm/keras-models?label=PyPI)
        
        This repo aims at providing both **reusable** Keras Models and **pre-trained** models, which could easily integrated into your projects.
        
        ## Install
        
        ```shell
        pip install keras-models
        ```
        
        If you will using the NLP models, you need run one more command:
        ```shell
        python -m spacy download xx_ent_wiki_sm
        ```
        
        ## Usage Guide
        
        ```
        import kearasmodels
        
        ```
        
        
        ## Examples
        
        ### Reusable Models
        
        __SkipGram__
        
        __WideDeep__
        
        ### Pre-trained Models
        
        __VGG16_Places365__
        > This model is forked from [GKalliatakis/Keras-VGG16-places365](https://github.com/GKalliatakis/Keras-VGG16-places365) and [CSAILVision/places365](https://github.com/CSAILVision/places365)
        
        ```
        from kerasmodels.models.pretrained import vgg16_places365
        labels = vgg16_places365.predict('your_image_file_pathname.jpg', n_top=3)
        # Example Result: labels = ['cafeteria', 'food_court', 'restaurant_patio'] 
        ```
        
        
        ## Models
        
        - TextCNN
        - TextDNN
        - SkipGram
        - VGG16_Places365 [pre-trained]
        - working on more models
        
        ## Citation
        
        __TextCNN__
        
        ```
        Kim Y. 
        Convolutional neural networks for sentence classification[J]. 
        arXiv preprint arXiv:1408.5882, 2014.
        ```
        
        __SkipGram__
        
        ```
        Mikolov T, Chen K, Corrado G, et al. 
        Efficient estimation of word representations in vector space[J]. 
        arXiv preprint arXiv:1301.3781, 2013.
        ```
        
        
        __VGG16_Places365__
        ```
        Zhou, B., Lapedriza, A., Khosla, A., Oliva, A., & Torralba, A.
        Places: A 10 million Image Database for Scene Recognition
        IEEE Transactions on Pattern Analysis and Machine Intelligence
        ```
        
        ## Contribution
        
        Please submit PR if you want to contribute, or submit issues for new model requirements.
        
        
Platform: UNKNOWN
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
