--- title: "100-AI-Machine-Learning-Deep-Learnin-Projects vs ml-surveys" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/adilshamim8-100-ai-machine-learning-deep-learnin-projects-vs-eugeneyan-ml-surveys" tools: ["adilshamim8-100-ai-machine-learning-deep-learnin-projects", "eugeneyan-ml-surveys"] --- # 100-AI-Machine-Learning-Deep-Learnin-Projects vs ml-surveys *GraphCanon updated Aug 22, 2026* ## Verdict Pick 100-AI-Machine-Learning-Deep-Learnin-Projects if collection of 100 production-grade AI projects covering ML, DL, CV, NLP, generative AI, LLM integrations, and hybrid solutions developed over a decade; 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. [100-AI-Machine-Learning-Deep-Learnin-Projects](https://adilshamim8.github.io/100-AI-Machine-Learning-Deep-Learnin-Projects/) reports 242 GitHub stars, 19 forks, and 0 open issues, last pushed Jul 26, 2026. [ml-surveys](https://github.com/eugeneyan/ml-surveys) has 2.9k stars, 292 forks, and 2 open issues, last pushed Mar 17, 2023. Figures are from public GitHub metadata via [100-AI-Machine-Learning-Deep-Learnin-Projects's repository](https://github.com/AdilShamim8/100-AI-Machine-Learning-Deep-Learnin-Projects) and [ml-surveys's repository](https://github.com/eugeneyan/ml-surveys). | | [100-AI-Machine-Learning-Deep-Learnin-Projects](/tools/adilshamim8-100-ai-machine-learning-deep-learnin-projects.md) | [ml-surveys](/tools/eugeneyan-ml-surveys.md) | | --- | --- | --- | | Tagline | Curated production-grade AI projects spanning computer vision and NLP | Survey papers summarizing advances in various AI domains | | Stars | 242 | 2,902 | | Forks | 19 | 292 | | Open issues | 0 | 2 | | Language | HTML | - | | Adopt for | Collection of 100 production-grade AI projects covering ML, DL, CV, NLP, generative AI, LLM integrations, and hybrid solutions developed over a decade. | 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. | | Persona | - | - | | Runtime | - | - | | License | - | MIT | | Categories | Computer Vision, Model Training, Speech & Audio | Computer Vision, Evaluation & Observability, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [100-AI-Machine-Learning-Deep-Learnin-Projects](/tools/adilshamim8-100-ai-machine-learning-deep-learnin-projects.md) | [ml-surveys](/tools/eugeneyan-ml-surveys.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 5d | 1254d | | Open issues (now) | 0 | 2 | | Stars delta | Unknown | 0 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/adilshamim8-100-ai-machine-learning-deep-learnin-projects/trust.md) | [trust report](/tools/eugeneyan-ml-surveys/trust.md) | ## Decision facts: 100-AI-Machine-Learning-Deep-Learnin-Projects - **Adopt for:** Collection of 100 production-grade AI projects covering ML, DL, CV, NLP, generative AI, LLM integrations, and hybrid solutions developed over a decade. ## 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. ## Choose when ### Choose 100-AI-Machine-Learning-Deep-Learnin-Projects if… - Tags unique to 100-AI-Machine-Learning-Deep-Learnin-Projects: computer-vision-projects, deep-learning-projects, machine-learning-projects, nlp-projects. - Also covers Speech & Audio. - Need diverse examples across multiple AI domains in production settings. ### Choose ml-surveys if… - Tags unique to ml-surveys: computer-vision, deep-learning, embeddings, machine-learning. - Also covers Evaluation & Observability. - When you need comprehensive overviews and summaries of the latest research trends in multiple areas within machine learning ## When NOT to use 100-AI-Machine-Learning-Deep-Learnin-Projects - Seeking detailed documentation or support as unknown license suggests limited official support. - In urgent need of up-to-date projects since the exact update frequency is unclear and star history does not indicate recent activity spikes. - Desiring a repository with an explicit open-source license for collaborative contributions. ## 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 ## Common questions ### What is the difference between 100-AI-Machine-Learning-Deep-Learnin-Projects and ml-surveys? 100-AI-Machine-Learning-Deep-Learnin-Projects: Curated production-grade AI projects spanning computer vision and NLP. ml-surveys: Survey papers summarizing advances in various AI domains. See the comparison table for live GitHub stats and shared categories. ### When should I choose 100-AI-Machine-Learning-Deep-Learnin-Projects over ml-surveys? Choose 100-AI-Machine-Learning-Deep-Learnin-Projects over ml-surveys when Tags unique to 100-AI-Machine-Learning-Deep-Learnin-Projects: computer-vision-projects, deep-learning-projects, machine-learning-projects, nlp-projects; Also covers Speech & Audio; Need diverse examples across multiple AI domains in production settings. ### When should I choose ml-surveys over 100-AI-Machine-Learning-Deep-Learnin-Projects? Choose ml-surveys over 100-AI-Machine-Learning-Deep-Learnin-Projects when Tags unique to ml-surveys: computer-vision, deep-learning, embeddings, machine-learning; Also covers Evaluation & Observability; When you need comprehensive overviews and summaries of the latest research trends in multiple areas within machine learning. ### When should I avoid 100-AI-Machine-Learning-Deep-Learnin-Projects? Seeking detailed documentation or support as unknown license suggests limited official support. In urgent need of up-to-date projects since the exact update frequency is unclear and star history does not indicate recent activity spikes. Desiring a repository with an explicit open-source license for collaborative contributions. ### 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 ### Is 100-AI-Machine-Learning-Deep-Learnin-Projects or ml-surveys more popular on GitHub? ml-surveys has more GitHub stars (2,902 vs 242). Stars measure visibility, not whether either tool fits your constraints. ### Are 100-AI-Machine-Learning-Deep-Learnin-Projects and ml-surveys open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to 100-AI-Machine-Learning-Deep-Learnin-Projects or ml-surveys? GraphCanon lists graph-backed alternatives at [100-AI-Machine-Learning-Deep-Learnin-Projects alternatives](/tools/adilshamim8-100-ai-machine-learning-deep-learnin-projects/alternatives) and [ml-surveys alternatives](/tools/eugeneyan-ml-surveys/alternatives) ([100-AI-Machine-Learning-Deep-Learnin-Projects markdown twin](/tools/adilshamim8-100-ai-machine-learning-deep-learnin-projects/alternatives.md), [ml-surveys markdown twin](/tools/eugeneyan-ml-surveys/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/adilshamim8-100-ai-machine-learning-deep-learnin-projects-vs-eugeneyan-ml-surveys.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, 100-AI-Machine-Learning-Deep-Learnin-Projects or ml-surveys? 100-AI-Machine-Learning-Deep-Learnin-Projects: Very active. ml-surveys: 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 100-AI-Machine-Learning-Deep-Learnin-Projects and ml-surveys? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [100-AI-Machine-Learning-Deep-Learnin-Projects trust report](/tools/adilshamim8-100-ai-machine-learning-deep-learnin-projects/trust); [ml-surveys trust report](/tools/eugeneyan-ml-surveys/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=adilshamim8-100-ai-machine-learning-deep-learnin-projects`](/api/graphcanon/graph?tool=adilshamim8-100-ai-machine-learning-deep-learnin-projects) - 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/_