Comparison
auto-sklearn vs ECCV2022-Papers-with-Code-Demo
Verdict
Pick auto-sklearn when tags unique to auto-sklearn: automated-machine-learning, automl, bayesian-optimization, hyperparameter-optimization; pick ECCV2022-Papers-with-Code-Demo when pricing: The repository is free to use, but certain resources and features may require additional paid services as suggested within its content..
Markdown twin · auto-sklearn alternatives · ECCV2022-Papers-with-Code-Demo alternatives
GraphCanon updated today
Trust & integrity
| Signal | auto-sklearn | ECCV2022-Papers-with-Code-Demo |
|---|---|---|
| Maintenance | Active (12d since push) As of today · github_public_v1 | Dormant (1333d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | 22 low (22 low) As of today · osv@v1 | No lockfile As of today · none |
Tagline
- auto-sklearn
- Automated Machine Learning with scikit-learn
- ECCV2022-Papers-with-Code-Demo
- 收集 ECCV 最新的成果,包括论文、代码和demo视频等
Stars
- auto-sklearn
- 8.1k
- ECCV2022-Papers-with-Code-Demo
- 281
Forks
- auto-sklearn
- 1.3k
- ECCV2022-Papers-with-Code-Demo
- 21
Open issues
- auto-sklearn
- 210
- ECCV2022-Papers-with-Code-Demo
- 0
Language
- auto-sklearn
- Python
- ECCV2022-Papers-with-Code-Demo
- -
Adopt for
- auto-sklearn
- -
- ECCV2022-Papers-with-Code-Demo
- ECCV2022-Papers-with-Code-Demo is a repository that compiles papers, code, and demo videos from the ECCV 2022 conference to foster research collaboration and sharing in computer vision.
Persona
- auto-sklearn
- -
- ECCV2022-Papers-with-Code-Demo
- -
Runtime
- auto-sklearn
- -
- ECCV2022-Papers-with-Code-Demo
- -
License
- auto-sklearn
- BSD-3-Clause
- ECCV2022-Papers-with-Code-Demo
- -
Last pushed
- auto-sklearn
- Jun 29, 2026
- ECCV2022-Papers-with-Code-Demo
- Nov 15, 2022
Categories
- auto-sklearn
- Computer Vision, Developer Tools, Model Training
- ECCV2022-Papers-with-Code-Demo
- Computer Vision
Trust and health
Maintenance
- auto-sklearn
- Active (82%)
- ECCV2022-Papers-with-Code-Demo
- Dormant (18%)
Days since push
- auto-sklearn
- 12d
- ECCV2022-Papers-with-Code-Demo
- 1333d
Open issues (now)
- auto-sklearn
- 210
- ECCV2022-Papers-with-Code-Demo
- 0
Owner type
- auto-sklearn
- Organization
- ECCV2022-Papers-with-Code-Demo
- User
Security scan
- auto-sklearn
- 22 low (22 low)
- ECCV2022-Papers-with-Code-Demo
- No lockfile
Full report
- auto-sklearn
- Trust report
- ECCV2022-Papers-with-Code-Demo
- Trust report
Choose auto-sklearn if…
- Tags unique to auto-sklearn: automated-machine-learning, automl, bayesian-optimization, hyperparameter-optimization.
- Also covers Developer Tools, Model Training.
- auto-sklearn ships Docker support for self-hosted deployment.
When NOT to use auto-sklearn
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Choose ECCV2022-Papers-with-Code-Demo if…
- Pricing: The repository is free to use, but certain resources and features may require additional paid services as suggested within its content..
- Tags unique to ECCV2022-Papers-with-Code-Demo: ai, computer-vision, cv, dataset.
- ECCV2022-Papers-with-Code-Demo is a repository that compiles papers, code, and demo videos from the ECCV 2022 conference to foster research collaboration and sharing in computer vision.
When NOT to use ECCV2022-Papers-with-Code-Demo
- Use for broader coverage of top conferences if you need resources beyond ECCV 2022.
- Do not rely on this tool if the latest advancements from other conferences or preprints are needed.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (automl/auto-sklearn) · observed Jul 11, 2026
- GitHub forks (automl/auto-sklearn) · observed Jul 11, 2026
- Last push (automl/auto-sklearn) · observed Jun 29, 2026
- License file (BSD-3-Clause) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (DWCTOD/ECCV2022-Papers-with-Code-Demo) · observed Jul 11, 2026
- GitHub forks (DWCTOD/ECCV2022-Papers-with-Code-Demo) · observed Jul 11, 2026
- Last push (DWCTOD/ECCV2022-Papers-with-Code-Demo) · observed Nov 15, 2022
- License file (unknown) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: auto-sklearn 8.1k · ECCV2022-Papers-with-Code-Demo 281 (synced Jul 11, 2026).
Common questions
- What is the difference between auto-sklearn and ECCV2022-Papers-with-Code-Demo?
- auto-sklearn: Automated Machine Learning with scikit-learn. ECCV2022-Papers-with-Code-Demo: 收集 ECCV 最新的成果,包括论文、代码和demo视频等. See the comparison table for live GitHub stats and shared categories.
- When should I choose auto-sklearn over ECCV2022-Papers-with-Code-Demo?
- Choose auto-sklearn over ECCV2022-Papers-with-Code-Demo when Tags unique to auto-sklearn: automated-machine-learning, automl, bayesian-optimization, hyperparameter-optimization; Also covers Developer Tools, Model Training; auto-sklearn ships Docker support for self-hosted deployment.
- When should I choose ECCV2022-Papers-with-Code-Demo over auto-sklearn?
- Choose ECCV2022-Papers-with-Code-Demo over auto-sklearn when Pricing: The repository is free to use, but certain resources and features may require additional paid services as suggested within its content.; Tags unique to ECCV2022-Papers-with-Code-Demo: ai, computer-vision, cv, dataset; ECCV2022-Papers-with-Code-Demo is a repository that compiles papers, code, and demo videos from the ECCV 2022 conference to foster research collaboration and sharing in computer vision.
- When should I avoid auto-sklearn?
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- When should I avoid ECCV2022-Papers-with-Code-Demo?
- Use for broader coverage of top conferences if you need resources beyond ECCV 2022. Do not rely on this tool if the latest advancements from other conferences or preprints are needed.
- Is auto-sklearn or ECCV2022-Papers-with-Code-Demo more popular on GitHub?
- auto-sklearn has more GitHub stars (8,119 vs 281). Stars measure visibility, not whether either tool fits your constraints.
- Are auto-sklearn and ECCV2022-Papers-with-Code-Demo open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to auto-sklearn or ECCV2022-Papers-with-Code-Demo?
- GraphCanon lists graph-backed alternatives at auto-sklearn alternatives and ECCV2022-Papers-with-Code-Demo alternatives (auto-sklearn markdown twin, ECCV2022-Papers-with-Code-Demo 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, auto-sklearn or ECCV2022-Papers-with-Code-Demo?
- auto-sklearn: Active. ECCV2022-Papers-with-Code-Demo: 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 auto-sklearn and ECCV2022-Papers-with-Code-Demo?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: auto-sklearn trust report; ECCV2022-Papers-with-Code-Demo trust report.