ML-Course-Notes VS ML-YouTube-Courses

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

ML-Course-Notes

🎓 Sharing machine learning course / lecture notes. (by dair-ai)
Machine Learning Deep Learning AI Natural Language Processing Data Science
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ML-YouTube-Courses

📺 Discover the latest machine learning / AI courses on YouTube. (by dair-ai)
Machine Learning Deep Learning NLP Natural Language Processing AI Data Science
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ML-Course-Notes ML-YouTube-Courses
117 309
5,819 14,331
0.0% 0.7%
0.0 7.2
about 1 year ago 3 months ago
GNU General Public License v3.0 or later 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.

ML-Course-Notes

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

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 ML-Course-Notes and ML-YouTube-Courses you can also consider the following projects:

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

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

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

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

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

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.

aiyu - core shell functions building blocks for advanced AI pipelines

mineral-exploration-machine-learning - List of resources for mineral exploration and machine learning, generally with useful code and examples.

customer-support-intent-detection-training-dataset - A dataset for training customer service NLU models on any platform

ML-Course-Notes vs RubixML ML-YouTube-Courses vs squirrel-core ML-Course-Notes vs Transformers-Recipe ML-YouTube-Courses vs Awesome-pytorch-list ML-YouTube-Courses vs Failed-ML ML-YouTube-Courses vs Transformers-Recipe ML-YouTube-Courses vs applied-ml ML-YouTube-Courses vs spaCy ML-YouTube-Courses vs nlphoseGUI ML-YouTube-Courses vs aiyu ML-YouTube-Courses vs mineral-exploration-machine-learning ML-YouTube-Courses vs customer-support-intent-detection-training-dataset