best_AI_papers_2021
aws-mlu-explain
best_AI_papers_2021 | aws-mlu-explain | |
---|---|---|
30 | 3 | |
2,904 | 376 | |
- | 3.5% | |
2.7 | 7.2 | |
7 months ago | 5 months ago | |
JavaScript | ||
MIT License | GNU General Public License v3.0 or later |
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best_AI_papers_2021
- The past two years went down in a blink because of some pandemic? Check out this 2021 recap of the most exciting advancements in the AI field to see what you may have missed out on!
- GitHub - louisfb01/best_AI_papers_2021: A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
aws-mlu-explain
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For Amazon, I Made A Web-based, Interactive/Visual Explainer of Decision Trees in Machine Learning
Posting here as it was created using JavaScript. D3.js for the visuals, parcel for the bundler, and IntersectionObserver for the scrolls. All code available here: https://github.com/aws-samples/aws-mlu-explain
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Smooth transition for presentation slides
HTML, CSS, JavaScript. Here is the repository with source code for the presentation, if you want to look into it
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Amazon’s Visual, Interactive Explainer on The Bias Variance Tradeoff
It's d3.js, their source code is available https://github.com/aws-samples/aws-mlu-explain/tree/main/bias-variance
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best_AI_papers_2022 - A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
sandlib
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