Skip to main content

A keras-like API deep learning framework,realized by cupy

Project description

#Shinnosuke-GPU : Deep learning framework ##Descriptions

  1. Based on Cupy(GPU version)

  2. Completely realized by Python only

  3. Keras-like API

  4. For deep learning studying


  1. Native to Python

  2. Keras-like API

  3. Easy to get start

  4. Commonly used models are provided: Dense, Conv2D, MaxPooling2D, LSTM, SimpleRNN, etc

  5. Several basic networks Examples

  6. Sequential model and Functional model are implemented

  7. Autograd is supported

##Installation Using pip:

$ pip install shinnosuke-gpu


Two model types:


from shinnosuke.models import Sequential
from shinnosuke.layers.FC import Dense






from shinnosuke.models import Model
from shinnosuke.layers.FC import Dense
from shinnosuke.layers.Base import Input






Two basic class:

- Layer:

  • Dense

  • Conv2D

  • MaxPooling2D

  • MeanPooling2D

  • Activation

  • Input

  • Dropout

  • BatchNormalization

  • TimeDistributed

  • SimpleRNN

  • LSTM

  • GRU (waiting for implemented)

  • ZeroPadding2D

  • Operations( includes Add, Minus, Multiply, Matmul, and so on basic operations for Layer and Node)

####- Node:

  • Variable
  • Constant


  • StochasticGradientDescent

  • Momentum

  • RMSprop

  • AdaGrad

  • AdaDelta

  • Adam

Waiting for implemented more


  • MeanSquaredError

  • MeanAbsoluteError

  • BinaryCrossEntropy

  • SparseCategoricalCrossEntropy

  • CategoricalCrossEntropy


  • Relu

  • Linear

  • Sigmoid

  • Tanh

  • Softmax


  • Zeros

  • Ones

  • Uniform

  • LecunUniform

  • GlorotUniform

  • HeUniform

  • Normal

  • LecunNormal

  • GlorotNormal

  • HeNormal

  • Orthogonal

###Regularizes waiting for implement.


  • get_batches (generate mini-batch)

  • to_categorical (convert inputs to one-hot vector/matrix)

  • concatenate (concatenate Nodes that have the same shape in specify axis)

  • pad_sequences (pad sequences to the same length)

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

shinnosuke-gpu-0.7.1.tar.gz (27.1 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page