Python algorithms used to perform machine learning.
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.
Installing from pypi using
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
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
and returns output with shape
For more examples and better description, check our documentation.
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