Home/Compare/auto-sklearn vs ECCV2022-Papers-with-Code-Demo

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

auto-sklearn logo

auto-sklearn

automl/auto-sklearn

8.1kpushed Jun 29, 2026
vs
ECCV2022-Papers-with-Code-Demo logo

ECCV2022-Papers-with-Code-Demo

DWCTOD/ECCV2022-Papers-with-Code-Demo

281pushed Nov 15, 2022

Trust & integrity

Signalauto-sklearnECCV2022-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 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.