Failed-ML VS classifai

Compare Failed-ML vs classifai and see what are their differences.

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Failed-ML classifai
1 1
691 546
- 0.9%
5.2 9.8
8 days ago 4 days ago
PHP
MIT License GNU General Public License v3.0 only
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.

Failed-ML

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

classifai

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

What are some alternatives?

When comparing Failed-ML and classifai you can also consider the following projects:

ML-YouTube-Courses - 📺 Discover the latest machine learning / AI courses on YouTube.

laravel-azure-ad-oauth - Drop-in socialiate plugin for Laravel applications for Microsoft Azure SSO.

BetaML.jl - Beta Machine Learning Toolkit

squirrel-core - A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:

RubixML - A high-level machine learning and deep learning library for the PHP language.

yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

pycm - Multi-class confusion matrix library in Python

AI-Conference-Info - Extensive acceptance rates and information of main AI conferences

clipea - 📎🟢 Like Clippy but for the CLI. A blazing fast AI helper for your command line

applied-ml - 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.