--- title: "ml-surveys vs best_AI_papers_2022" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/eugeneyan-ml-surveys-vs-louisfb01-best-ai-papers-2022" tools: ["eugeneyan-ml-surveys", "louisfb01-best-ai-papers-2022"] --- # ml-surveys vs best_AI_papers_2022 *GraphCanon updated Aug 22, 2026* ## Verdict Pick ml-surveys if ml-surveys is a collection of detailed review papers summarizing advancements in various AI domains such as deep learning, NLP, CV, graphs, reinforcement learning, and recommendation systems; pick best_AI_papers_2022 if best AI Papers from 2022 offers video explanations and code links for selected research papers. [ml-surveys](https://github.com/eugeneyan/ml-surveys) reports 2.9k GitHub stars, 292 forks, and 2 open issues, last pushed Mar 17, 2023. [best_AI_papers_2022](https://www.louisbouchard.ai) has 3.2k stars, 197 forks, and 0 open issues, last pushed Oct 18, 2023. Figures are from public GitHub metadata via [ml-surveys's repository](https://github.com/eugeneyan/ml-surveys) and [best_AI_papers_2022's repository](https://github.com/louisfb01/best_AI_papers_2022). | | [ml-surveys](/tools/eugeneyan-ml-surveys.md) | [best_AI_papers_2022](/tools/louisfb01-best-ai-papers-2022.md) | | --- | --- | --- | | Tagline | Survey papers summarizing advances in various AI domains | A curated list of breakthrough AI papers from 2022 with video explanations and code links | | Stars | 2,902 | 3,187 | | Forks | 292 | 197 | | Open issues | 2 | 0 | | Language | - | - | | Adopt for | ml-surveys is a collection of detailed review papers summarizing advancements in various AI domains such as deep learning, NLP, CV, graphs, reinforcement learning, and recommendation systems. | Best AI Papers from 2022 offers video explanations and code links for selected research papers. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Computer Vision, Evaluation & Observability, Model Training | Evaluation & Observability, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ml-surveys](/tools/eugeneyan-ml-surveys.md) | [best_AI_papers_2022](/tools/louisfb01-best-ai-papers-2022.md) | | --- | --- | --- | | Days since push | 1254d | 1016d | | Open issues (now) | 2 | 0 | | Stars delta | 0 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Full report | [trust report](/tools/eugeneyan-ml-surveys/trust.md) | [trust report](/tools/louisfb01-best-ai-papers-2022/trust.md) | ## Decision facts: ml-surveys - **Adopt for:** ml-surveys is a collection of detailed review papers summarizing advancements in various AI domains such as deep learning, NLP, CV, graphs, reinforcement learning, and recommendation systems. ## Decision facts: best_AI_papers_2022 - **Adopt for:** Best AI Papers from 2022 offers video explanations and code links for selected research papers. ## Choose when ### Choose ml-surveys if… - Tags unique to ml-surveys: embeddings, nlp, recommender-system, reinforcement-learning. - Also covers Computer Vision. - When you need comprehensive overviews and summaries of the latest research trends in multiple areas within machine learning ### Choose best_AI_papers_2022 if… - Tags unique to best_AI_papers_2022: ai, neural-network. - Need to catch up on key innovations in AI from 2022 - More GitHub stars (3.2k vs 2.9k) - visibility, not fit. ## When NOT to use ml-surveys - If you are seeking detailed technical details, original experiments, or specific algorithm implementations as ml-surveys focuses more on synthesis and summary - In cases where deep-dive analysis is required into a single niche topic, as ml-surveys provides broad overviews rather than in-depth coverage of individual niches ## When NOT to use best_AI_papers_2022 - Looking for real-time updates or post-2022 research findings - Require detailed technical analysis beyond paper abstracts ## Common questions ### What is the difference between ml-surveys and best_AI_papers_2022? ml-surveys: Survey papers summarizing advances in various AI domains. best_AI_papers_2022: A curated list of breakthrough AI papers from 2022 with video explanations and code links. See the comparison table for live GitHub stats and shared categories. ### When should I choose ml-surveys over best_AI_papers_2022? Choose ml-surveys over best_AI_papers_2022 when Tags unique to ml-surveys: embeddings, nlp, recommender-system, reinforcement-learning; Also covers Computer Vision; When you need comprehensive overviews and summaries of the latest research trends in multiple areas within machine learning. ### When should I choose best_AI_papers_2022 over ml-surveys? Choose best_AI_papers_2022 over ml-surveys when Tags unique to best_AI_papers_2022: ai, neural-network; Need to catch up on key innovations in AI from 2022; More GitHub stars (3.2k vs 2.9k) - visibility, not fit. ### When should I avoid ml-surveys? If you are seeking detailed technical details, original experiments, or specific algorithm implementations as ml-surveys focuses more on synthesis and summary In cases where deep-dive analysis is required into a single niche topic, as ml-surveys provides broad overviews rather than in-depth coverage of individual niches ### When should I avoid best_AI_papers_2022? Looking for real-time updates or post-2022 research findings Require detailed technical analysis beyond paper abstracts ### Is ml-surveys or best_AI_papers_2022 more popular on GitHub? best_AI_papers_2022 has more GitHub stars (3,187 vs 2,902). Stars measure visibility, not whether either tool fits your constraints. ### Are ml-surveys and best_AI_papers_2022 open source? Yes - both are open-source projects on GitHub (ml-surveys: MIT, best_AI_papers_2022: MIT). ### Where can I find alternatives to ml-surveys or best_AI_papers_2022? GraphCanon lists graph-backed alternatives at [ml-surveys alternatives](/tools/eugeneyan-ml-surveys/alternatives) and [best_AI_papers_2022 alternatives](/tools/louisfb01-best-ai-papers-2022/alternatives) ([ml-surveys markdown twin](/tools/eugeneyan-ml-surveys/alternatives.md), [best_AI_papers_2022 markdown twin](/tools/louisfb01-best-ai-papers-2022/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/eugeneyan-ml-surveys-vs-louisfb01-best-ai-papers-2022.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ml-surveys or best_AI_papers_2022? ml-surveys: Dormant. best_AI_papers_2022: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for ml-surveys and best_AI_papers_2022? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ml-surveys trust report](/tools/eugeneyan-ml-surveys/trust); [best_AI_papers_2022 trust report](/tools/louisfb01-best-ai-papers-2022/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=eugeneyan-ml-surveys`](/api/graphcanon/graph?tool=eugeneyan-ml-surveys) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_