aiyu VS ML-YouTube-Courses

Compare aiyu vs ML-YouTube-Courses and see what are their differences.

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aiyu ML-YouTube-Courses
8 309
13 14,354
- 0.7%
7.2 7.2
about 1 year ago 4 months ago
- Creative Commons Zero v1.0 Universal
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.

aiyu

Posts with mentions or reviews of aiyu. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-26.

ML-YouTube-Courses

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

What are some alternatives?

When comparing aiyu and ML-YouTube-Courses you can also consider the following projects:

awesome-artificial-intelligence - A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

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

rgpt - An insane cli ChatGpt client written in Rust

Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

sandlib

Failed-ML - Compilation of high-profile real-world examples of failed machine learning projects

gold-miner - 🥇掘金翻译计划,可能是世界最大最好的英译中技术社区,最懂读者和译者的翻译平台:

Transformers-Recipe - 🧠 A study guide to learn about Transformers

awesome-mlops - A curated list of references for MLOps

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

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

nlphoseGUI - This tool allows you to create Natural Language Processing pipelines for use with nlphose using a Blockly based GUI editor in any browser. As you create a pipeline it shows you the corresponding nlphose command which will execute the pipeline.