pip install scikit-neuralnetwork==0.7
Deep neural networks without the learning cliff! A wrapper library compatible with scikit-learn.
SourceAmong top 10% packages on PyPI.
Over 7.9K downloads in the last 90 days.
scikit-neuralnetwork
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
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Neural Network visualization toolkit for keras |
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Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano |
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Sequential model-based optimization toolbox. |
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Lightweight pipelining: using Python functions as pipeline jobs. |
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An implementation of chunked, compressed, N-dimensional arrays for Python. |
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A set of python modules for machine learning and data mining |
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Distributed Asynchronous Hyperparameter Optimization |
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core libraries for the allensdk. |
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Image processing in Python |
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Clustering based on density with variable density clusters |
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Google maps plugin for Jupyter notebooks |
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Toolbox for imbalanced dataset in machine learning. |
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MNE python project for MEG and EEG data analysis. |
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Uniform interface for multiple dust reddening maps. |
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Fast and scalable MCMC for all your exoplanet needs |
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Blazingly fast Gaussian Processes for regression. |
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Diff and merge of Jupyter Notebooks |
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Read and write HDF5 files from Python |
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Cubic spline approximation (smoothing) |
scikit-neuralnetworkProportion of downloaded versions in the last 3 months (only versions over 1%).
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0.7 |
91.47% |
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0.3 |
3.84% |