Failed-ML VS squirrel-core

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

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Failed-ML squirrel-core
1 1
691 279
- 0.7%
5.2 5.6
8 days ago 5 days ago
Python
MIT License 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.

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.

squirrel-core

Posts with mentions or reviews of squirrel-core. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-11.

What are some alternatives?

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

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

squirrel-datasets-core - Squirrel dataset hub

BetaML.jl - Beta Machine Learning Toolkit

talking-head-anime-3-demo - Demo Programs for the "Talking Head(?) Anime from a Single Image 3: Now the Body Too" Project

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.

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

PDEBench - PDEBench: An Extensive Benchmark for Scientific Machine Learning

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

deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

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

speaking_with_plato - Exploring Plato's philosophy with AI - A Data Spiral blog article