Comparison
ml-surveys vs ai-engineering-from-scratch
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 ai-engineering-from-scratch if ai-engineering-from-scratch is a comprehensive course that teaches AI engineering skills from foundational math to advanced AI agents and machine learning techniques, using Python and Node.js for interactive learning.
Markdown twin · ml-surveys alternatives · ai-engineering-from-scratch alternatives
GraphCanon updated Sep 20, 2026
7views this month
vs
Trust & integrity
| Signal | ml-surveys | ai-engineering-from-scratch |
|---|---|---|
| Maintenance | Dormant (1283d since push) As of Sep 20, 2026 · github_public_v1 | Active (10d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- ml-surveys
- Survey papers summarizing advances in various AI domains
- ai-engineering-from-scratch
- Learn, build, and deploy AI engineering skills from scratch.
Stars
- ml-surveys
- 2.9k
- ai-engineering-from-scratch
- 55k
Forks
- ml-surveys
- 291
- ai-engineering-from-scratch
- 9.6k
Open issues
- ml-surveys
- 2
- ai-engineering-from-scratch
- 114
Language
- ml-surveys
- -
- ai-engineering-from-scratch
- Python
Adopt for
- ml-surveys
- 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.
- ai-engineering-from-scratch
- ai-engineering-from-scratch is a comprehensive course that teaches AI engineering skills from foundational math to advanced AI agents and machine learning techniques, using Python and Node.js for interactive learning and
Persona
- ml-surveys
- -
- ai-engineering-from-scratch
- -
Runtime
- ml-surveys
- -
- ai-engineering-from-scratch
- -
License
- ml-surveys
- MIT
- ai-engineering-from-scratch
- MIT
Last pushed
- ml-surveys
- Mar 17, 2023
- ai-engineering-from-scratch
- Sep 7, 2026
Categories
- ml-surveys
- Computer Vision, Evaluation & Observability, Model Training
- ai-engineering-from-scratch
- AI Agents, Computer Vision, Developer Tools, Model Training
Trust and health
Maintenance
- ml-surveys
- Dormant (18%)
- ai-engineering-from-scratch
- Active (82%)
Days since push
- ml-surveys
- 1283d
- ai-engineering-from-scratch
- 10d
Open issues (now)
- ml-surveys
- 2
- ai-engineering-from-scratch
- 114
Stars delta
- ml-surveys
- +1 (30d)
- ai-engineering-from-scratch
- +8.1k (30d)
Open issues delta
- ml-surveys
- 0 (30d)
- ai-engineering-from-scratch
- +7 (30d)
OSV dependency advisories
- ml-surveys
- No lockfile (source not queried)
- ai-engineering-from-scratch
- Published findings
Full report
- ml-surveys
- Trust report
- ai-engineering-from-scratch
- Trust report
Choose ml-surveys if…
- Tags unique to ml-surveys: embeddings, nlp, recommender-system, reinforcement 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 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
Choose ai-engineering-from-scratch if…
- Tags unique to ai-engineering-from-scratch: agents, ai-engineering, from-scratch, generative-ai.
- Also covers AI Agents, Developer Tools.
- when you need a structured course that covers a wide range of AI engineering topics from scratch, including foundational math, deep learning, and reinforcement learning.
When NOT to use ai-engineering-from-scratch
- if you are looking for a tool that focuses solely on theoretical knowledge without practical application, as this course emphasizes hands-on learning.
- when you do not have access to Node.js or Python, as these are required for running the course and its interactive components.
- if you prefer a more traditional learning approach without the use of terminal-based learning tools, as the course is designed for interactive terminal sessions.
- when you are working with a development environment that does not support skill-capable hosts, as the course is optimized for such environments.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (eugeneyan/ml-surveys) · observed Sep 20, 2026
- GitHub forks (eugeneyan/ml-surveys) · observed Sep 20, 2026
- Last push (eugeneyan/ml-surveys) · observed Mar 17, 2023
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (rohitg00/ai-engineering-from-scratch) · observed Sep 20, 2026
- GitHub forks (rohitg00/ai-engineering-from-scratch) · observed Sep 20, 2026
- Last push (rohitg00/ai-engineering-from-scratch) · observed Sep 7, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: ml-surveys 2.9k · ai-engineering-from-scratch 55k (synced Sep 20, 2026).
Common questions
- What is the difference between ml-surveys and ai-engineering-from-scratch?
- ml-surveys: Survey papers summarizing advances in various AI domains. ai-engineering-from-scratch: Learn, build, and deploy AI engineering skills from scratch.. See the comparison table for live GitHub stats and shared categories.
- When should I choose ml-surveys over ai-engineering-from-scratch?
- Choose ml-surveys over ai-engineering-from-scratch when Tags unique to ml-surveys: embeddings, nlp, recommender-system, reinforcement 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 choose ai-engineering-from-scratch over ml-surveys?
- Choose ai-engineering-from-scratch over ml-surveys when Tags unique to ai-engineering-from-scratch: agents, ai-engineering, from-scratch, generative-ai; Also covers AI Agents, Developer Tools; when you need a structured course that covers a wide range of AI engineering topics from scratch, including foundational math, deep learning, and reinforcement learning.
- 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 ai-engineering-from-scratch?
- if you are looking for a tool that focuses solely on theoretical knowledge without practical application, as this course emphasizes hands-on learning. when you do not have access to Node.js or Python, as these are required for running the course and its interactive components. if you prefer a more traditional learning approach without the use of terminal-based learning tools, as the course is designed for interactive terminal sessions. when you are working with a development environment that does not support skill-capable hosts, as the course is optimized for such environments.
- Is ml-surveys or ai-engineering-from-scratch more popular on GitHub?
- ai-engineering-from-scratch has more GitHub stars (54,935 vs 2,903). Stars measure visibility, not whether either tool fits your constraints.
- Are ml-surveys and ai-engineering-from-scratch open source?
- Yes - both are open-source projects on GitHub (ml-surveys: MIT, ai-engineering-from-scratch: MIT).
- Where can I find alternatives to ml-surveys or ai-engineering-from-scratch?
- GraphCanon lists graph-backed alternatives at ml-surveys alternatives and ai-engineering-from-scratch alternatives (ml-surveys markdown twin, ai-engineering-from-scratch markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, ml-surveys or ai-engineering-from-scratch?
- ml-surveys: Dormant. ai-engineering-from-scratch: Active. 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 ai-engineering-from-scratch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ml-surveys trust report; ai-engineering-from-scratch trust report.