sparse_dot_topn VS monolish

Compare sparse_dot_topn vs monolish and see what are their differences.

sparse_dot_topn

Python package to accelerate the sparse matrix multiplication and top-n similarity selection (by ing-bank)
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sparse_dot_topn monolish
1 1
381 189
0.8% 0.0%
8.9 7.8
21 days ago 7 months ago
C++ C++
Apache License 2.0 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.

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.

monolish

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

What are some alternatives?

When comparing sparse_dot_topn and monolish you can also consider the following projects:

Dask - Parallel computing with task scheduling

oneMKL - oneAPI Math Kernel Library (oneMKL) Interfaces

similarity - TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

fms_blas - Lightweight BLAS (and some LAPACK) wrapper.

madmom - Python audio and music signal processing library

BitLib - Provides a bit-vector, an optimized replacement of the infamous std::vector<:b:ool>. In addition to the bit-vector, the library also provides implementations of STL algorithms tailored for bit-vectors.

sparse_dot - Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication

stdgpu - stdgpu: Efficient STL-like Data Structures on the GPU

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.

Scalix - Scalix is a data parallel compute library that automatically scales to the available compute resources.

alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:

matrix-sized - Generic matrix with statically known size and bindings to C++ linear algebra libraries (Eigen, Spectra).