--- title: "100-AI-Machine-Learning-Deep-Learnin-Projects vs AI-Engineering.academy" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/adilshamim8-100-ai-machine-learning-deep-learnin-projects-vs-adithya-s-k-ai-engineering-academy" tools: ["adilshamim8-100-ai-machine-learning-deep-learnin-projects", "adithya-s-k-ai-engineering-academy"] --- # 100-AI-Machine-Learning-Deep-Learnin-Projects vs AI-Engineering.academy *GraphCanon updated Sep 30, 2026* ## Verdict Pick 100-AI-Machine-Learning-Deep-Learnin-Projects if 100-AI-Machine-Learning-Deep-Learnin-Projects is a curated repository of 100 production-ready AI solutions, covering a wide range of areas including computer vision, NLP, and deep learning, with a focus on real-world, in; pick AI-Engineering.academy if aI-Engineering.academy is a repository for learning and applying AI concepts, with a focus on fine-tuning, inference, and deployment strategies for large language models, delivered through. [100-AI-Machine-Learning-Deep-Learnin-Projects](https://adilshamim8.github.io/100-AI-Machine-Learning-Deep-Learnin-Projects/) reports 277 GitHub stars, 23 forks, and 0 open issues, last pushed Sep 21, 2026. [AI-Engineering.academy](https://aiengineering.academy) has 2.4k stars, 280 forks, and 9 open issues, last pushed Feb 27, 2026. 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 [AI-Engineering.academy's repository](https://github.com/adithya-s-k/AI-Engineering.academy). | | [100-AI-Machine-Learning-Deep-Learnin-Projects](/tools/adilshamim8-100-ai-machine-learning-deep-learnin-projects.md) | [AI-Engineering.academy](/tools/adithya-s-k-ai-engineering-academy.md) | | --- | --- | --- | | Tagline | A curated, production-grade collection of 100 AI, Machine Learning, and Deep Learning projects | Mastering Applied AI, One Concept at a Time | | Stars | 277 | 2,383 | | Forks | 23 | 280 | | Open issues | 0 | 9 | | Language | HTML | Jupyter Notebook | | Adopt for | 100-AI-Machine-Learning-Deep-Learnin-Projects is a curated repository of 100 production-ready AI solutions, covering a wide range of areas including computer vision, NLP, and deep learning, with a focus on real-world, in | AI-Engineering.academy is a repository for learning and applying AI concepts, with a focus on fine-tuning, inference, and deployment strategies for large language models, delivered through Jupyter Notebooks under the MIT | | Persona | - | - | | Runtime | - | - | | License | The license for this repository is unknown, which may pose risks for users who need to ensure compliance with specific licensing requirements. | MIT license, allowing for free use, modification, and distribution of the repository content | | Categories | Computer Vision, Data & Retrieval, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training | Inference & Serving, LLM Frameworks, 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) | [AI-Engineering.academy](/tools/adithya-s-k-ai-engineering-academy.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 3d | 203d | | Open issues (now) | 0 | 9 | | Stars delta | +35 (30d) | +20 (30d) | | Open issues delta | 0 (30d) | +2 (30d) | | Full report | [trust report](/tools/adilshamim8-100-ai-machine-learning-deep-learnin-projects/trust.md) | [trust report](/tools/adithya-s-k-ai-engineering-academy/trust.md) | ## Decision facts: 100-AI-Machine-Learning-Deep-Learnin-Projects - **Requirements:** The repository is primarily focused on Python-based projects, so proficiency in Python is recommended. - **Adopt for:** 100-AI-Machine-Learning-Deep-Learnin-Projects is a curated repository of 100 production-ready AI solutions, covering a wide range of areas including computer vision, NLP, and deep learning, with a focus on real-world, in - **License detail:** The license for this repository is unknown, which may pose risks for users who need to ensure compliance with specific licensing requirements. ## Decision facts: AI-Engineering.academy - **Requirements:** The repository is structured around Jupyter Notebooks, requiring a suitable environment to run these notebooks - **Adopt for:** AI-Engineering.academy is a repository for learning and applying AI concepts, with a focus on fine-tuning, inference, and deployment strategies for large language models, delivered through Jupyter Notebooks under the MIT - **License detail:** MIT license, allowing for free use, modification, and distribution of the repository content ## Choose when ### Choose 100-AI-Machine-Learning-Deep-Learnin-Projects if… - 100-AI-Machine-Learning-Deep-Learnin-Projects is primarily HTML; AI-Engineering.academy is Jupyter Notebook. - Requirements: The repository is primarily focused on Python-based projects, so proficiency in Python is recommended.. - Tags unique to 100-AI-Machine-Learning-Deep-Learnin-Projects: ai, artificial-intelligence, computer-vision, computer-vision-projects. - Also covers Computer Vision, Data & Retrieval, Evaluation & Observability. - When you need a comprehensive collection of production-grade AI projects that span a decade of real-world experience. ### Choose AI-Engineering.academy if… - AI-Engineering.academy is primarily Jupyter Notebook; 100-AI-Machine-Learning-Deep-Learnin-Projects is HTML. - Requirements: The repository is structured around Jupyter Notebooks, requiring a suitable environment to run these notebooks. - Tags unique to AI-Engineering.academy: fine-tuning, inference, large-language-models, quantization. - When you need a structured learning path for mastering applied AI concepts, including fine-tuning and deployment strategies for large language models ## When NOT to use 100-AI-Machine-Learning-Deep-Learnin-Projects - If you are seeking a repository with a focus on theoretical research rather than practical, production-ready solutions. - When you need a repository that is actively maintained with a clear license, as this repository's license status is unknown. - If you require a tool that supports a specific programming language other than Python, as the repository primarily focuses on Python-based projects. ## When NOT to use AI-Engineering.academy - If you are seeking a repository that covers a broad range of AI topics beyond fine-tuning and deployment of large language models - When you prefer a repository that already has comprehensive deployment strategies available, as the deployment section is marked as 'Coming Soon' ## Common questions ### What is the difference between 100-AI-Machine-Learning-Deep-Learnin-Projects and AI-Engineering.academy? 100-AI-Machine-Learning-Deep-Learnin-Projects: A curated, production-grade collection of 100 AI, Machine Learning, and Deep Learning projects. AI-Engineering.academy: Mastering Applied AI, One Concept at a Time. See the comparison table for live GitHub stats and shared categories. ### When should I choose 100-AI-Machine-Learning-Deep-Learnin-Projects over AI-Engineering.academy? Choose 100-AI-Machine-Learning-Deep-Learnin-Projects over AI-Engineering.academy when 100-AI-Machine-Learning-Deep-Learnin-Projects is primarily HTML; AI-Engineering.academy is Jupyter Notebook; Requirements: The repository is primarily focused on Python-based projects, so proficiency in Python is recommended.; Tags unique to 100-AI-Machine-Learning-Deep-Learnin-Projects: ai, artificial-intelligence, computer-vision, computer-vision-projects; Also covers Computer Vision, Data & Retrieval, Evaluation & Observability; When you need a comprehensive collection of production-grade AI projects that span a decade of real-world experience. ### When should I choose AI-Engineering.academy over 100-AI-Machine-Learning-Deep-Learnin-Projects? Choose AI-Engineering.academy over 100-AI-Machine-Learning-Deep-Learnin-Projects when AI-Engineering.academy is primarily Jupyter Notebook; 100-AI-Machine-Learning-Deep-Learnin-Projects is HTML; Requirements: The repository is structured around Jupyter Notebooks, requiring a suitable environment to run these notebooks; Tags unique to AI-Engineering.academy: fine-tuning, inference, large-language-models, quantization; When you need a structured learning path for mastering applied AI concepts, including fine-tuning and deployment strategies for large language models. ### When should I avoid 100-AI-Machine-Learning-Deep-Learnin-Projects? If you are seeking a repository with a focus on theoretical research rather than practical, production-ready solutions. When you need a repository that is actively maintained with a clear license, as this repository's license status is unknown. If you require a tool that supports a specific programming language other than Python, as the repository primarily focuses on Python-based projects. ### When should I avoid AI-Engineering.academy? If you are seeking a repository that covers a broad range of AI topics beyond fine-tuning and deployment of large language models When you prefer a repository that already has comprehensive deployment strategies available, as the deployment section is marked as 'Coming Soon' ### Is 100-AI-Machine-Learning-Deep-Learnin-Projects or AI-Engineering.academy more popular on GitHub? AI-Engineering.academy has more GitHub stars (2,383 vs 277). Stars measure visibility, not whether either tool fits your constraints. ### Are 100-AI-Machine-Learning-Deep-Learnin-Projects and AI-Engineering.academy open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to 100-AI-Machine-Learning-Deep-Learnin-Projects or AI-Engineering.academy? 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 [AI-Engineering.academy alternatives](/tools/adithya-s-k-ai-engineering-academy/alternatives) ([100-AI-Machine-Learning-Deep-Learnin-Projects markdown twin](/tools/adilshamim8-100-ai-machine-learning-deep-learnin-projects/alternatives.md), [AI-Engineering.academy markdown twin](/tools/adithya-s-k-ai-engineering-academy/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-adithya-s-k-ai-engineering-academy.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 AI-Engineering.academy? 100-AI-Machine-Learning-Deep-Learnin-Projects: Very active. AI-Engineering.academy: Slowing. 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 AI-Engineering.academy? 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); [AI-Engineering.academy trust report](/tools/adithya-s-k-ai-engineering-academy/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/_