Comparison
ailia-models vs pytorch-meta
Verdict
Pick ailia-models if pre-trained AI models for ailia SDK, covering broad applications from action recognition to audio processing; pick pytorch-meta if pyTorch-Meta focuses on facilitating few-shot learning and meta-learning with PyTorch, offering extensions and data-loaders specifically for these tasks.
Markdown twin · ailia-models alternatives · pytorch-meta alternatives
GraphCanon updated today
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Trust & integrity
| Signal | ailia-models | pytorch-meta |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (1113d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of 2w · 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
- ailia-models
- Repository of pre-trained AI models for ailia SDK
- pytorch-meta
- Extensions and data-loaders for few-shot learning & meta-learning in PyTorch
Stars
- ailia-models
- 2.4k
- pytorch-meta
- 2.1k
Forks
- ailia-models
- 363
- pytorch-meta
- 264
Open issues
- ailia-models
- 321
- pytorch-meta
- 61
Language
- ailia-models
- Python
- pytorch-meta
- Python
Adopt for
- ailia-models
- Pre-trained AI models for ailia SDK, covering broad applications from action recognition to audio processing.
- pytorch-meta
- PyTorch-Meta focuses on facilitating few-shot learning and meta-learning with PyTorch, offering extensions and data-loaders specifically for these tasks.
Persona
- ailia-models
- -
- pytorch-meta
- -
Runtime
- ailia-models
- -
- pytorch-meta
- -
License
- ailia-models
- -
- pytorch-meta
- MIT
Last pushed
- ailia-models
- Aug 21, 2026
- pytorch-meta
- Jul 17, 2023
Categories
- ailia-models
- Computer Vision, Model Training, Speech & Audio
- pytorch-meta
- Model Training
Trust and health
Maintenance
- ailia-models
- Very active (96%)
- pytorch-meta
- Dormant (18%)
Days since push
- ailia-models
- 0d
- pytorch-meta
- 1113d
Open issues (now)
- ailia-models
- 321
- pytorch-meta
- 61
Stars delta
- ailia-models
- +8 (30d)
- pytorch-meta
- Unknown
Open issues delta
- ailia-models
- +5 (30d)
- pytorch-meta
- Unknown
Owner type
- ailia-models
- Organization
- pytorch-meta
- User
Full report
- ailia-models
- Trust report
- pytorch-meta
- Trust report
Shared compatibility
- Python · ailia-models: Python runtime · pytorch-meta: Python runtime
Choose ailia-models if…
- Tags unique to ailia-models: action-recognition, anomaly-detection, audio-processing, background-removal.
- Also covers Computer Vision, Speech & Audio.
- When developing apps that integrate with the ailia SDK
When NOT to use ailia-models
- If your project does not align with ailia SDK or its specific model categories
- When you require customization beyond what is offered by pre-trained models in this repository
Choose pytorch-meta if…
- Tags unique to pytorch-meta: data-loaders, extensions, few-shot-learning, meta-learning.
- When developing models that require handling few-shot learning scenarios where only a small amount of labeled data is available.
- Leaner open-issue backlog (61).
When NOT to use pytorch-meta
- If your project requires extensive support for traditional deep learning tasks, as PyTorch-Meta does not offer comprehensive utilities beyond few-shot learning and meta-learning.
- For those strictly adhering to a single ecosystem that does not include the PyTorch framework or its specific versions below 1.4.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ailia-ai/ailia-models) · observed Aug 22, 2026
- GitHub forks (ailia-ai/ailia-models) · observed Aug 22, 2026
- Last push (ailia-ai/ailia-models) · observed Aug 21, 2026
- License file (unknown) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tristandeleu/pytorch-meta) · observed Aug 4, 2026
- GitHub forks (tristandeleu/pytorch-meta) · observed Aug 4, 2026
- Last push (tristandeleu/pytorch-meta) · observed Jul 17, 2023
- License file (MIT) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ailia-models 2.4k · pytorch-meta 2.1k (synced Aug 22, 2026).
Common questions
- What is the difference between ailia-models and pytorch-meta?
- ailia-models: Repository of pre-trained AI models for ailia SDK. pytorch-meta: Extensions and data-loaders for few-shot learning & meta-learning in PyTorch. See the comparison table for live GitHub stats and shared categories.
- When should I choose ailia-models over pytorch-meta?
- Choose ailia-models over pytorch-meta when Tags unique to ailia-models: action-recognition, anomaly-detection, audio-processing, background-removal; Also covers Computer Vision, Speech & Audio; When developing apps that integrate with the ailia SDK.
- When should I choose pytorch-meta over ailia-models?
- Choose pytorch-meta over ailia-models when Tags unique to pytorch-meta: data-loaders, extensions, few-shot-learning, meta-learning; When developing models that require handling few-shot learning scenarios where only a small amount of labeled data is available; Leaner open-issue backlog (61).
- When should I avoid ailia-models?
- If your project does not align with ailia SDK or its specific model categories When you require customization beyond what is offered by pre-trained models in this repository
- When should I avoid pytorch-meta?
- If your project requires extensive support for traditional deep learning tasks, as PyTorch-Meta does not offer comprehensive utilities beyond few-shot learning and meta-learning. For those strictly adhering to a single ecosystem that does not include the PyTorch framework or its specific versions below 1.4.
- Is ailia-models or pytorch-meta more popular on GitHub?
- ailia-models has more GitHub stars (2,365 vs 2,062). Stars measure visibility, not whether either tool fits your constraints.
- Are ailia-models and pytorch-meta open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to ailia-models or pytorch-meta?
- GraphCanon lists graph-backed alternatives at ailia-models alternatives and pytorch-meta alternatives (ailia-models markdown twin, pytorch-meta 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, ailia-models or pytorch-meta?
- ailia-models: Very active. pytorch-meta: 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 ailia-models and pytorch-meta?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ailia-models trust report; pytorch-meta trust report.