Comparison
best_AI_papers_2021 vs stealing-ur-feelings
Verdict
Pick best_AI_papers_2021 if best_AI_papers_2021 offers a curated list of key AI papers published in 2021 with videos, articles, and code examples; pick stealing-ur-feelings if a deep learning-powered AR experience that analyzes facial expressions and emotions to highlight issues of privacy in emotional surveillance.
Markdown twin · best_AI_papers_2021 alternatives · stealing-ur-feelings alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | best_AI_papers_2021 | stealing-ur-feelings |
|---|---|---|
| Maintenance | Dormant (1016d since push) As of 3w · github_public_v1 | Dormant (1192d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- best_AI_papers_2021
- A curated list of AI research papers from 2021 with explanations and resources
- stealing-ur-feelings
- Deep learning-powered AR experience analyzing facial reactions
Stars
- best_AI_papers_2021
- 2.9k
- stealing-ur-feelings
- 927
Forks
- best_AI_papers_2021
- 237
- stealing-ur-feelings
- 32
Open issues
- best_AI_papers_2021
- 0
- stealing-ur-feelings
- 13
Language
- best_AI_papers_2021
- -
- stealing-ur-feelings
- JavaScript
Adopt for
- best_AI_papers_2021
- Best_AI_papers_2021 offers a curated list of key AI papers published in 2021 with videos, articles, and code examples.
- stealing-ur-feelings
- A deep learning-powered AR experience that analyzes facial expressions and emotions to highlight issues of privacy in emotional surveillance.
Persona
- best_AI_papers_2021
- -
- stealing-ur-feelings
- -
Runtime
- best_AI_papers_2021
- -
- stealing-ur-feelings
- -
License
- best_AI_papers_2021
- The tool is provided under an MIT license, permitting reuse and modification with attribution.
- stealing-ur-feelings
- -
Last pushed
- best_AI_papers_2021
- Oct 18, 2023
- stealing-ur-feelings
- Apr 26, 2023
Categories
- best_AI_papers_2021
- Computer Vision, Data & Retrieval, Model Training
- stealing-ur-feelings
- Computer Vision, Speech & Audio
Trust and health
Days since push
- best_AI_papers_2021
- 1016d
- stealing-ur-feelings
- 1192d
Open issues (now)
- best_AI_papers_2021
- 0
- stealing-ur-feelings
- 13
Full report
- best_AI_papers_2021
- Trust report
- stealing-ur-feelings
- Trust report
Choose best_AI_papers_2021 if…
- The code repository does not specify the primary programming language used for the content but contains links to Python-based code samples.
- Tags unique to best_AI_papers_2021: artificial-intelligence, deep-learning, machine-learning, research-paper.
- Also covers Data & Retrieval, Model Training.
- If you are seeking current insights into AI advancements from 2021, especially on topics such as ethical considerations or governance aspects.
When NOT to use best_AI_papers_2021
- Should not be used if one is looking for historical context beyond AI advances strictly from the period 2021, as it focuses specifically on that time frame.
- Not recommended if comprehensive coverage of AI research topics outside the themes covered in papers published solely in 2021 are needed.
Choose stealing-ur-feelings if…
- Tags unique to stealing-ur-feelings: ar, art, augmented-reality, awards.
- Also covers Speech & Audio.
- When planning to explore the ethical implications of AI-driven emotive surveillance technology.
When NOT to use stealing-ur-feelings
- If your project requires a robust tool for commercial facial emotion analysis without the context of privacy concerns and artistic interpretation.
- When seeking real-time, production-grade emotional recognition software designed for user studies or market research purposes.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (louisfb01/best_AI_papers_2021) · observed Jul 31, 2026
- GitHub forks (louisfb01/best_AI_papers_2021) · observed Jul 31, 2026
- Last push (louisfb01/best_AI_papers_2021) · observed Oct 18, 2023
- License file (MIT) · observed Jul 31, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (noahlevenson/stealing-ur-feelings) · observed Jul 31, 2026
- GitHub forks (noahlevenson/stealing-ur-feelings) · observed Jul 31, 2026
- Last push (noahlevenson/stealing-ur-feelings) · observed Apr 26, 2023
- License file (unknown) · observed Jul 31, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: best_AI_papers_2021 2.9k · stealing-ur-feelings 927 (synced Jul 31, 2026).
Common questions
- What is the difference between best_AI_papers_2021 and stealing-ur-feelings?
- best_AI_papers_2021: A curated list of AI research papers from 2021 with explanations and resources. stealing-ur-feelings: Deep learning-powered AR experience analyzing facial reactions. See the comparison table for live GitHub stats and shared categories.
- When should I choose best_AI_papers_2021 over stealing-ur-feelings?
- Choose best_AI_papers_2021 over stealing-ur-feelings when The code repository does not specify the primary programming language used for the content but contains links to Python-based code samples; Tags unique to best_AI_papers_2021: artificial-intelligence, deep-learning, machine-learning, research-paper; Also covers Data & Retrieval, Model Training; If you are seeking current insights into AI advancements from 2021, especially on topics such as ethical considerations or governance aspects.
- When should I choose stealing-ur-feelings over best_AI_papers_2021?
- Choose stealing-ur-feelings over best_AI_papers_2021 when Tags unique to stealing-ur-feelings: ar, art, augmented-reality, awards; Also covers Speech & Audio; When planning to explore the ethical implications of AI-driven emotive surveillance technology.
- When should I avoid best_AI_papers_2021?
- Should not be used if one is looking for historical context beyond AI advances strictly from the period 2021, as it focuses specifically on that time frame. Not recommended if comprehensive coverage of AI research topics outside the themes covered in papers published solely in 2021 are needed.
- When should I avoid stealing-ur-feelings?
- If your project requires a robust tool for commercial facial emotion analysis without the context of privacy concerns and artistic interpretation. When seeking real-time, production-grade emotional recognition software designed for user studies or market research purposes.
- Is best_AI_papers_2021 or stealing-ur-feelings more popular on GitHub?
- best_AI_papers_2021 has more GitHub stars (2,896 vs 927). Stars measure visibility, not whether either tool fits your constraints.
- Are best_AI_papers_2021 and stealing-ur-feelings open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to best_AI_papers_2021 or stealing-ur-feelings?
- GraphCanon lists graph-backed alternatives at best_AI_papers_2021 alternatives and stealing-ur-feelings alternatives (best_AI_papers_2021 markdown twin, stealing-ur-feelings 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, best_AI_papers_2021 or stealing-ur-feelings?
- best_AI_papers_2021: Dormant. stealing-ur-feelings: 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 best_AI_papers_2021 and stealing-ur-feelings?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: best_AI_papers_2021 trust report; stealing-ur-feelings trust report.