pip install cupy==9.5.0

CuPy: NumPy & SciPy for GPU

Source
Among top 1% packages on PyPI.
Over 287.8K downloads in the last 90 days.

Commonly used with cupy

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

arf

Advanced Recording Format for acoustic, behavioral, and physiological data

sed3

3D viewer and editor of color seeds

rqalpha

Ricequant Algorithm Trading System

pycolab

An engine for small games for reinforcement learning agents.

alibi

Algorithms for monitoring and explaining machine learning models

ewave

Extended WAVE I/O

zwoasi

Python binding for the ZWO ASI v2 library.

randopt

Streamlined machine learning experiment management.

pychimera

Use UCSF Chimera Python API in a standard Python 2.7 interpreter.

gdist

Compute geodesic distances

somber

Self-Organizing Maps in Numpy

dm-haiku

Haiku is a library for building neural networks in JAX.

agents

Efficient TensorFlow implementation of reinforcement learning algorithms.

mxnet-mkl

MXNet is an ultra-scalable deep learning framework. This version uses MKLDNN.

cleverhans

None

tf-models-official

TensorFlow Official Models

noisy

Noise of different colors

pynumpress

A more pythonic wrapper around the MSNumpress library for mass spectrometry numerical data compression

pyrouge

A Python wrapper for the ROUGE summarization evaluation package.

Version usage of cupy

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

9.4.0

4.45%

9.5.0

3.72%

9.3.0

3.62%

9.2.0

3.02%

2.3.0

2.55%

9.1.0

2.44%

8.6.0

2.42%

9.0.0

2.41%

8.5.0

2.21%

8.4.0

2.09%

8.3.0

2.04%

8.2.0

1.97%

7.8.0.post1

1.95%

7.1.1

1.92%

8.1.0

1.91%

8.0.0

1.89%

7.8.0

1.89%

7.7.0

1.78%

7.6.0

1.73%

7.5.0

1.68%

7.4.0

1.65%

7.3.0

1.61%

7.2.0

1.59%

6.0.0

1.58%

7.0.0

1.56%

7.1.0

1.54%

6.7.0

1.53%

6.3.0

1.51%

6.6.0

1.48%

6.5.0

1.47%

6.4.0

1.44%

6.2.0

1.43%

5.4.0

1.41%

5.2.0

1.41%

6.1.0

1.40%

5.3.0

1.36%

5.0.0

1.34%

5.1.0

1.34%

4.2.0

1.28%

4.5.0

1.27%

4.4.1

1.26%

4.1.0

1.25%

4.4.0

1.25%

4.3.0

1.24%

4.0.0

1.23%

2.1.0

1.21%

2.5.0

1.19%

2.4.0

1.19%

2.2.0

1.18%

2.0.0

1.17%

2.1.0.1

1.17%

1.0.3

1.17%

1.0.1

1.15%

1.0.2

1.14%

1.0.0.1

1.14%