pip install nolearn==0.6.1
scikit-learn compatible neural network library
SourceAmong top 50% packages on PyPI.
Over 1.9K downloads in the last 90 days.
nolearn
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
Gnumpy is a simple Python module that interfaces in a way almost identical to numpy, but does its computations on your computer's GPU, using Cudamat. |
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Pre-trained deep neural networks |
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A lightweight library to build and train neural networks in Theano |
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Optimizing compiler for evaluating mathematical expressions on CPUs and GPUs. |
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PyWavelets, wavelet transform module |
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Image processing in Python |
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Deep Learning Library featuring a higher-level API for TensorFlow |
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Data Sets for Machine Learning in Python |
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Simple MNIST and EMNIST data parser written in pure Python |
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TensorFlow is an open source machine learning framework for everyone. |
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Read and write HDF5 files from Python |
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Deep Learning for humans |
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simple printer of nested list |
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Python package for creating and manipulating graphs and networks |
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Simple Python interface for Graphviz |
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python library to develop, evaluate and benchmark saliency models |
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Lightweight pipelining: using Python functions as pipeline jobs. |
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Functions for plotting area-proportional two- and three-way Venn diagrams in matplotlib. |
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A set of python modules for machine learning and data mining |
nolearn
Proportion of downloaded versions in the last 3 months (only versions over 1%).
0.5b1 |
39.12% |
0.6.1 |
26.15% |
0.6.0 |
11.58% |
0.5 |
4.19% |
0.4 |
3.46% |
0.2 |
3.26% |
0.3.1 |
3.26% |
0.3 |
3.20% |
0.2b1 |
2.95% |
0.1b1 |
2.84% |