kmodes VS best-of-ml-python

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

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
Source Code
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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 best-of-ml-python
2 16
1,218 15,335
- 1.5%
4.9 7.8
3 months ago 5 days ago
Python Python
MIT License Creative Commons Attribution Share Alike 4.0
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.

kmodes

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

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.

What are some alternatives?

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

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

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

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.

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

Dask - Parallel computing with task scheduling

dtale - Visualizer for pandas data structures

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

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

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

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

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

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

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