pip install nolearn==0.6.1

scikit-learn compatible neural network library

Source
Among top 50% packages on PyPI.
Over 1.9K downloads in the last 90 days.

Commonly used with nolearn

Based on how often these packages appear together in public requirements.txt files on GitHub.

gnumpy

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.

gdbn

Pre-trained deep neural networks

Lasagne

A lightweight library to build and train neural networks in Theano

Theano

Optimizing compiler for evaluating mathematical expressions on CPUs and GPUs.

PyWavelets

PyWavelets, wavelet transform module

scikit-image

Image processing in Python

tflearn

Deep Learning Library featuring a higher-level API for TensorFlow

skdata

Data Sets for Machine Learning in Python

python-mnist

Simple MNIST and EMNIST data parser written in pure Python

tensorflow-gpu

TensorFlow is an open source machine learning framework for everyone.

h5py

Read and write HDF5 files from Python

Keras

Deep Learning for humans

display

simple printer of nested list

networkx

Python package for creating and manipulating graphs and networks

graphviz

Simple Python interface for Graphviz

pysaliency

python library to develop, evaluate and benchmark saliency models

joblib

Lightweight pipelining: using Python functions as pipeline jobs.

matplotlib-venn

Functions for plotting area-proportional two- and three-way Venn diagrams in matplotlib.

scikit-learn

A set of python modules for machine learning and data mining

Version usage of 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%