pip install gnumpy==0.2

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.

Source
Among top 50% packages on PyPI.
Over 1.3K downloads in the last 90 days.

Commonly used with gnumpy

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

gdbn

Pre-trained deep neural networks

nolearn

scikit-learn compatible neural network library

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

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

h5py

Read and write HDF5 files from Python

networkx

Python package for creating and manipulating graphs and networks

kaggle-cli

An unofficial Kaggle command line tool.

graphviz

Simple Python interface for Graphviz

hyperopt

Distributed Asynchronous Hyperparameter Optimization

joblib

Lightweight pipelining: using Python functions as pipeline jobs.

skdata

Data Sets for Machine Learning in Python

matplotlib-venn

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

Cython

The Cython compiler for writing C extensions for the Python language.

Version usage of gnumpy

Proportion of downloaded versions in the last 3 months (only versions over 1%).

0.2

92.63%

0.1

7.37%