ML-YouTube-Courses VS mineral-exploration-machine-learning

Compare ML-YouTube-Courses vs mineral-exploration-machine-learning and see what are their differences.

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ML-YouTube-Courses mineral-exploration-machine-learning
309 1
14,378 134
1.1% -
7.2 9.6
4 months ago 5 days 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.

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.

mineral-exploration-machine-learning

Posts with mentions or reviews of mineral-exploration-machine-learning. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing ML-YouTube-Courses and mineral-exploration-machine-learning you can also consider the following projects:

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

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

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

awesome-open-geoscience - Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

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

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

lfai-landscape - 🌄 Open Source AI & Data Landscape - provides overview of top tier projects in the open source AI and Data ecosystem, shows projects through GitHub data, funding or market cap, first and last commits, contributor count and much other information.

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

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code - 500 AI Machine learning Deep learning Computer vision NLP Projects with code

CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.