sparse_dot_topn
Python package to accelerate the sparse matrix multiplication and top-n similarity selection (by ing-bank)
sparse_dot
Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication (by flatironinstitute)
| sparse_dot_topn | sparse_dot | |
|---|---|---|
| 1 | 2 | |
| 381 | 68 | |
| 0.8% | - | |
| 8.9 | 6.6 | |
| 21 days ago | 4 days ago | |
| C++ | Python | |
| Apache License 2.0 | MIT License |
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_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.
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.
What are some alternatives?
When comparing sparse_dot_topn and sparse_dot you can also consider the following projects:
Dask - Parallel computing with task scheduling
dpnp - Data Parallel Extension for NumPy
similarity - TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
cupy - NumPy & SciPy for GPU
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.