semvec/pypi-packages huggingface dataset:
neuralnet 0.2.0
A high-level library on top of Theano.

# 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.