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Python algorithms used to perform machine learning.

Project description

TearDrop

TearDrop project contains many useful various machine learning algorithms and models. You can find there anything from Linear regression, KNN, SVMs up to deep learning and LSTMs.

Installation

Installing from pypi using pip:

pip install teardrop
# or you can do this
python3 -m pip install teardrop

You can also install it directly from our repository:

pip install git+https://gitlab.com/dec0ded/teardrop

Example code

Using TearDrop you can easily create many various neural nets, e.g. Dense neural network.

from teardrop.layers.core import Dense
from teardrop.neural_models import Sequential

net = Sequential(loss='mse', optimizer='sgd')
net.add(Dense(10, activation='relu', input_shape=5))
net.add(Dense(1, activation='sigmoid'))

And voila! We've created a basic network which is able to take inputs with shape (N, 5) and returns output with shape (N, 1).

For more examples and better description, check our documentation.

Project details


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