sparse_dot
Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication (by flatironinstitute)
sparse_dot_topn
Python package to accelerate the sparse matrix multiplication and top-n similarity selection (by ing-bank)
sparse_dot | sparse_dot_topn | |
---|---|---|
2 | 1 | |
68 | 381 | |
- | 0.8% | |
6.6 | 8.9 | |
7 days ago | 24 days ago | |
Python | C++ | |
MIT License | Apache License 2.0 |
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.
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.
sparse_dot
Posts with mentions or reviews of sparse_dot.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-07-06.
sparse_dot_topn
Posts with mentions or reviews of sparse_dot_topn.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing sparse_dot and sparse_dot_topn you can also consider the following projects:
dpnp - Data Parallel Extension for NumPy
Dask - Parallel computing with task scheduling
cupy - NumPy & SciPy for GPU
similarity - TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
madmom - Python audio and music signal processing library
data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.