# louisfb01/best\_AI\_papers\_2022

<https://repo.masters-masters.com/en/repos/louisfb01/best_AI_papers_2022>

[Home](https://repo.masters-masters.com/en) › [louisfb01](https://repo.masters-masters.com/en/owners/louisfb01) › [best\_AI\_papers\_2022](https://repo.masters-masters.com/en/repos/louisfb01/best_AI_papers_2022)

louisfb01/best\_AI\_papers\_2022 has 3,180 stars on GitHub. Its RepoMasters card: RC tier. A curated list of the latest breakthroughs in AI (in 2022) by release…

| Field | Value |
| --- | --- |
| Owner | [louisfb01](https://repo.masters-masters.com/en/owners/louisfb01) |
| Stars | 3,180 |
| Forks | 194 |
| Language | No language |
| License | MIT |
| Created | 2022 |
| Topics | python, computer-vision, computer-science, deep-learning, machine-learning, artificial-intelligence, ai, paper, technology, innovation |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [louisfb01/best\_AI\_papers\_2022](https://github.com/louisfb01/best_AI_papers_2022) |

## Repository

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.

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.