Lasagne | Python Package Wiki

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

nolearn	scikit-learn compatible neural network library
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
Theano	Optimizing compiler for evaluating mathematical expressions on CPUs and GPUs.
PyWavelets	PyWavelets, wavelet transform module
graphviz	Simple Python interface for Graphviz
resampy	Efficient signal resampling
tflearn	Deep Learning Library featuring a higher-level API for TensorFlow
scikit-image	Image processing in Python
audioread	multi-library, cross-platform audio decoding
joblib	Lightweight pipelining: using Python functions as pipeline jobs.
cvxopt	Convex optimization package
tensorflow-gpu	TensorFlow is an open source machine learning framework for everyone.
Keras	Deep Learning for humans
h5py	Read and write HDF5 files from Python
scikit-neuralnetwork	Deep neural networks without the learning cliff! A wrapper library compatible with scikit-learn.
imageio	Library for reading and writing a wide range of image, video, scientific, and volumetric data formats.
skdata	Data Sets for Machine Learning in Python
imbalanced-learn	Toolbox for imbalanced dataset in machine learning.

`pip install Lasagne==0.1`