https://github.com/justanhduc/neuralnet
A high level framework for general purpose neural networks in Theano.
https://github.com/justanhduc/neuralnet
convolutional-neural-networks deep-learning deep-neural-networks neural-network python2 theano
Last synced: 6 months ago
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A high level framework for general purpose neural networks in Theano.
- Host: GitHub
- URL: https://github.com/justanhduc/neuralnet
- Owner: justanhduc
- License: mpl-2.0
- Created: 2017-05-22T05:13:13.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2022-10-05T01:55:40.000Z (about 3 years ago)
- Last Synced: 2025-04-04T19:16:09.477Z (6 months ago)
- Topics: convolutional-neural-networks, deep-learning, deep-neural-networks, neural-network, python2, theano
- Language: Python
- Homepage: https://pypi.org/project/neuralnet/
- Size: 479 KB
- Stars: 2
- Watchers: 2
- Forks: 5
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
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README
# Neuralnet
A high level framework for general purpose neural networks written in Theano.
__THIS IS MY LAST COMMIT!__
Recently, I haved decided to depart from Theano in favor of Pytorch.
I am working in a project similar to this [here](https://github.com/justanhduc/neuralnet-pytorch).
Please check it out.
Thank you Theano!!
It's been a hell of a ride.
## 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
```
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.