best-of-ml-python VS kmodes

Compare best-of-ml-python vs kmodes and see what are their differences.

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. (by ml-tooling)
Python Machine Learning Data Science NLP Data Visualization Tensorflow Pytorch scikit-learn Keras data-visualizations Deep Learning Automl ML Jax Transformer Data Analysis chatgpt Gpt gpt-3
Source Code
ml-python.best-of.org
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kmodes

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data (by nicodv)
Python clustering-algorithm k-modes k-prototypes scikit-learn
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best-of-ml-python kmodes
16 2
15,335 1,215
1.5% -
7.8 4.9
3 days ago 3 months ago
Python Python
Creative Commons Attribution Share Alike 4.0 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.

best-of-ml-python

Posts with mentions or reviews of best-of-ml-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-10.

kmodes

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

What are some alternatives?

When comparing best-of-ml-python and kmodes you can also consider the following projects:

Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.

yellowbrick - Visual analysis and diagnostic tools to facilitate machine learning model selection.

ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

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.

dtale - Visualizer for pandas data structures

Dask - Parallel computing with task scheduling

ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)

MinSizeKmeans - A python implementation of KMeans clustering with minimum cluster size constraint (Bradley et al., 2000)

awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.

orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis

NBA-Machine-Learning-Sports-Betting - NBA sports betting using machine learning

leidenalg - Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.

best-of-ml-python vs Awesome-WAF kmodes vs yellowbrick best-of-ml-python vs ktrain kmodes vs data-science-ipython-notebooks best-of-ml-python vs dtale kmodes vs Dask best-of-ml-python vs ffcv kmodes vs MinSizeKmeans best-of-ml-python vs awesome-python kmodes vs orange best-of-ml-python vs NBA-Machine-Learning-Sports-Betting kmodes vs leidenalg