Comparison
ml-surveys vs ai-engineering-from-scratch
Verdict
Pick ml-surveys when tags unique to ml-surveys: reinforcement-learning, embeddings, nlp, survey; pick ai-engineering-from-scratch when pricing: The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up.
Markdown twin · ml-surveys alternatives · ai-engineering-from-scratch alternatives
GraphCanon updated today
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Trust & integrity
| Signal | ml-surveys | ai-engineering-from-scratch |
|---|---|---|
| Maintenance | Dormant (1212d since push) As of today · github_public_v1 | Active (15d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No MCP manifest As of today · mcp_manifest |
Tagline
- ml-surveys
- 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
- ai-engineering-from-scratch
- Learn it. Build it. Ship it for others.
Stars
- ml-surveys
- 2.9k
- ai-engineering-from-scratch
- 38k
Forks
- ml-surveys
- 291
- ai-engineering-from-scratch
- 6.3k
Open issues
- ml-surveys
- 2
- ai-engineering-from-scratch
- 96
Language
- ml-surveys
- -
- ai-engineering-from-scratch
- Python
Adopt for
- ml-surveys
- -
- ai-engineering-from-scratch
- Specifically designed for individuals looking to build a comprehensive understanding of AI tools and frameworks from the ground up.
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
- Jun 25, 2026
Categories
- ml-surveys
- Vector Databases, Computer Vision
- ai-engineering-from-scratch
- AI Agents, LLM Frameworks, Computer Vision, Developer Tools
Trust and health
Maintenance
- ml-surveys
- Dormant (18%)
- ai-engineering-from-scratch
- Active (82%)
Days since push
- ml-surveys
- 1212d
- ai-engineering-from-scratch
- 15d
Open issues (now)
- ml-surveys
- 2
- ai-engineering-from-scratch
- 96
Security scan
- ml-surveys
- No lockfile
- ai-engineering-from-scratch
- No MCP manifest
Full report
- ml-surveys
- Trust report
- ai-engineering-from-scratch
- Trust report
Choose ml-surveys if…
- Tags unique to ml-surveys: reinforcement-learning, embeddings, nlp, survey.
- Also covers Vector Databases.
- Leaner open-issue backlog (2).
When NOT to use ml-surveys
- Last GitHub push was 1213 days ago (dormant maintenance, Mar 17, 2023). Validate activity before betting a new project on ml-surveys.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Choose ai-engineering-from-scratch if…
- Pricing: The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up.
- Tags unique to ai-engineering-from-scratch: ai-engineering, agents, llm, from-scratch.
- Also covers AI Agents, LLM Frameworks, Developer Tools.
- When you want to start with foundational knowledge and learn the intricacies behind AI systems.
When NOT to use ai-engineering-from-scratch
- If you are looking for a quick setup or ready-to-go solution without diving into the foundational understanding.
- When your project requires immediate practical application with less emphasis on self-implemented solutions from scratch.
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 Jul 11, 2026
- GitHub forks (eugeneyan/ml-surveys) · observed Jul 11, 2026
- Last push (eugeneyan/ml-surveys) · observed Mar 17, 2023
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (rohitg00/ai-engineering-from-scratch) · observed Jul 11, 2026
- GitHub forks (rohitg00/ai-engineering-from-scratch) · observed Jul 11, 2026
- Last push (rohitg00/ai-engineering-from-scratch) · observed Jun 25, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ml-surveys 2.9k · ai-engineering-from-scratch 38k (synced Jul 11, 2026).
Common questions
- What is the difference between ml-surveys and ai-engineering-from-scratch?
- ml-surveys: 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.. ai-engineering-from-scratch: Learn it. Build it. Ship it for others.. 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: reinforcement-learning, embeddings, nlp, survey; Also covers Vector Databases; Leaner open-issue backlog (2).
- When should I choose ai-engineering-from-scratch over ml-surveys?
- Choose ai-engineering-from-scratch over ml-surveys when Pricing: The
ai-engineering-from-scratchrepository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up; Tags unique to ai-engineering-from-scratch: ai-engineering, agents, llm, from-scratch; Also covers AI Agents, LLM Frameworks, Developer Tools; When you want to start with foundational knowledge and learn the intricacies behind AI systems. - When should I avoid ml-surveys?
- Last GitHub push was 1213 days ago (dormant maintenance, Mar 17, 2023). Validate activity before betting a new project on ml-surveys. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- When should I avoid ai-engineering-from-scratch?
- If you are looking for a quick setup or ready-to-go solution without diving into the foundational understanding. When your project requires immediate practical application with less emphasis on self-implemented solutions from scratch.
- Is ml-surveys or ai-engineering-from-scratch more popular on GitHub?
- ai-engineering-from-scratch has more GitHub stars (37,922 vs 2,900). 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.