Machine-Learning-Guide VS best-of-ml-python

Compare Machine-Learning-Guide vs best-of-ml-python and see what are their differences.

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Machine-Learning-Guide best-of-ml-python
6 16
437 15,364
- 0.9%
6.2 7.8
4 months ago 1 day ago
Python Python
- 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.

Machine-Learning-Guide

Posts with mentions or reviews of Machine-Learning-Guide. 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 Machine-Learning-Guide and best-of-ml-python you can also consider the following projects:

Text2Poster-ICASSP-22 - Official implementation of the ICASSP-2022 paper "Text2Poster: Laying Out Stylized Texts on Retrieved Images"

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

pytorch-forecasting - Time series forecasting with PyTorch

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

pinferencia - Python + Inference - Model Deployment library in Python. Simplest model inference server ever.

dtale - Visualizer for pandas data structures

prtm - Deep learning for protein science

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

igel - a delightful machine learning tool that allows you to train, test, and use models without writing code

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

thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data