cusim VS scikit-cuda

Compare cusim vs scikit-cuda and see what are their differences.

cusim

Superfast CUDA implementation of Word2Vec and Latent Dirichlet Allocation (LDA) (by js1010)
lda w2v GPU Cuda Gensim topic-modeling word-embedding
Source Code
cusim.readthedocs.io
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scikit-cuda

Python interface to GPU-powered libraries (by lebedov)
Python GPU Cuda Blas LAPACK Numerical cublas cusolver cufft Pycuda
Source Code
scikit-cuda.readthedocs.org
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cusim scikit-cuda
1 1
40 967
- -
0.0 2.5
about 3 years ago 6 months ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

cusim

Posts with mentions or reviews of cusim. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning cusim yet.
Tracking mentions began in Dec 2020.

scikit-cuda

Posts with mentions or reviews of scikit-cuda. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-22.

What are some alternatives?

When comparing cusim and scikit-cuda you can also consider the following projects:

cupy - NumPy & SciPy for GPU

cuml - cuML - RAPIDS Machine Learning Library

PyCUDA - CUDA integration for Python, plus shiny features

gensim - Topic Modelling for Humans

pygraphistry - PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

pyopencl - OpenCL integration for Python, plus shiny features

kernel_tuner - Kernel Tuner

arrayfire-python - Python bindings for ArrayFire: A general purpose GPU library.

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.

scikit-cuda vs cupy scikit-cuda vs cuml scikit-cuda vs PyCUDA cusim vs gensim cusim vs pygraphistry scikit-cuda vs pyopencl scikit-cuda vs kernel_tuner cusim vs arrayfire-python scikit-cuda vs tmu scikit-cuda vs arrayfire-python cusim vs cupy scikit-cuda vs jittor