PyCUDA
scikit-cuda
PyCUDA | scikit-cuda | |
---|---|---|
- | 1 | |
1,746 | 968 | |
- | - | |
5.4 | 2.5 | |
29 days ago | 7 months ago | |
Python | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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PyCUDA
We haven't tracked posts mentioning PyCUDA yet.
Tracking mentions began in Dec 2020.
scikit-cuda
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GPU Based Kernel-PCA
I found this lovely repo -> https://github.com/lebedov/scikit-cuda
What are some alternatives?
SWIG - SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages.
cupy - NumPy & SciPy for GPU
jpype - JPype is cross language bridge to allow Python programs full access to Java class libraries.
cuml - cuML - RAPIDS Machine Learning Library
cffi
pyopencl - OpenCL integration for Python, plus shiny features
PyJNIus - Access Java classes from Python
kernel_tuner - Kernel Tuner
cusim - Superfast CUDA implementation of Word2Vec and Latent Dirichlet Allocation (LDA)
TileDB-Py - Python interface to the TileDB storage engine
tmu - Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.