scikit-cuda
cusim
scikit-cuda | cusim | |
---|---|---|
1 | 1 | |
968 | 40 | |
- | - | |
2.5 | 0.0 | |
7 months ago | about 3 years ago | |
Python | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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scikit-cuda
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GPU Based Kernel-PCA
I found this lovely repo -> https://github.com/lebedov/scikit-cuda
cusim
What are some alternatives?
cupy - NumPy & SciPy for GPU
gensim - Topic Modelling for Humans
cuml - cuML - RAPIDS Machine Learning Library
pygraphistry - PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
PyCUDA - CUDA integration for Python, plus shiny features
arrayfire-python - Python bindings for ArrayFire: A general purpose GPU library.
pyopencl - OpenCL integration for Python, plus shiny features
kernel_tuner - Kernel Tuner
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.
jittor - Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.