Metadata-Version: 2.1
Name: neuralnet
Version: 0.2.0
Summary: A high-level library on top of Theano.
Home-page: https://github.com/justanhduc/neuralnet
Author: Duc Nguyen
Author-email: adnguyen@yonsei.ac.kr
License: UNKNOWN
Project-URL: Bug Reports, https://github.com/justanhduc/neuralnet/issues
Project-URL: Source, https://github.com/justanhduc/neuralnet/
Description: # Neuralnet
        
        A high level framework for general purpose neural networks written in Theano.
        
        ## Requirements
        
        [Theano](http://deeplearning.net/software/theano/)
        
        [Scipy](https://www.scipy.org/install.html) 
        
        [Numpy+mkl](http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy)
        
        [Matplotlib](https://matplotlib.org/)
        
        [tqdm](https://github.com/tqdm/tqdm)
        
        [visdom](https://github.com/facebookresearch/visdom)
        
        
        ## Installation
        To install a stable version, use the following command
        
        ```
        pip install neuralnet==0.1.0
        ```
        
        The version in this repo tends to be newer since I am lazy to make a new version available on Pypi when the change is tiny. 
        To install the version in this repo execute
        
        ```
        pip install git+git://github.com/justanhduc/neuralnet.git@master (--ignore-installed) (--no-deps)
        ```
        
        ## Pretrained Models
        [VGG16](https://s3.ap-northeast-2.amazonaws.com/pretrained-theano-models/vgg16_from_pytorch.npz)
        
        [VGG19](https://s3.ap-northeast-2.amazonaws.com/pretrained-theano-models/vgg19_from_pytorch.npz)
        
        [ResNet18](https://s3.ap-northeast-2.amazonaws.com/pretrained-theano-models/resnet18_from_pytorch.npz)
        
        [ResNet34](https://s3.ap-northeast-2.amazonaws.com/pretrained-theano-models/resnet34_from_pytorch.npz)
        
        [ResNet50](https://s3.ap-northeast-2.amazonaws.com/pretrained-theano-models/resnet50_from_pytorch.npz)
        
        [ResNet101](https://s3.ap-northeast-2.amazonaws.com/pretrained-theano-models/resnet101_from_pytorch.npz)
        
        [ResNet152](https://s3.ap-northeast-2.amazonaws.com/pretrained-theano-models/resnet152_from_pytorch.npz)
        
        All the tests for these models are available at [test.py](https://github.com/justanhduc/neuralnet/tree/master/neuralnet/test.py).
        Also, checkout the file for example usages.
        
Platform: Windows
Platform: Linux
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: End Users/Desktop
Classifier: License :: OSI Approved :: Mozilla Public License 2.0 (MPL 2.0)
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.5
Description-Content-Type: text/markdown
