gdbn | Python Package Wiki

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.
nolearn	scikit-learn compatible neural network library
Lasagne	A lightweight library to build and train neural networks in Theano
PyWavelets	PyWavelets, wavelet transform module
Theano	Optimizing compiler for evaluating mathematical expressions on CPUs and GPUs.
tflearn	Deep Learning Library featuring a higher-level API for TensorFlow
scikit-image	Image processing 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.
Keras	Deep Learning for humans
kaggle-cli	An unofficial Kaggle command line tool.
h5py	Read and write HDF5 files from Python
networkx	Python package for creating and manipulating graphs and networks
hyperopt	Distributed Asynchronous Hyperparameter Optimization
missingno	Missing data visualization module for Python.
joblib	Lightweight pipelining: using Python functions as pipeline jobs.
matplotlib-venn	Functions for plotting area-proportional two- and three-way Venn diagrams in matplotlib.
imbalanced-learn	Toolbox for imbalanced dataset in machine learning.
resampy	Efficient signal resampling

`pip install gdbn==0.1`