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Download README.md from singhankit491/ai-portfolio-model-dataset-registry: direct link, hf CLI and curl.
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https://huggingface.co/datasets/singhankit491/ai-portfolio-model-dataset-registry/resolve/main/README.md
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2.35 kB
metadata
pretty_name: Ankit Kumar Singh AI Portfolio Model & Dataset Registry
tags:
- portfolio
- mlops
- model-evaluation
- responsible-ai
AI Portfolio Model & Dataset Registry
Central evidence-aware registry for the models, model references and datasets used across the five flagship portfolio roadmaps.
| Asset | Type | Evidence status | Link |
|---|---|---|---|
| AgentForge Governed RAG Evaluation Set | dataset | published owned evaluation fixtures | HF |
| ClinRoute Synthetic ENT Referrals | dataset | published generated synthetic dataset | HF |
| ClinRoute TF-IDF + Logistic Regression Synthetic v2 | model | published reproducibly trained model artifacts | HF |
| MedLake Synthetic Screening Events | dataset | published generated synthetic dataset | HF |
| Five-Class Otoscopic Dataset Specification | dataset-card | published metadata-only; images intentionally excluded | HF |
| OtoVision EfficientNet-B0 Reference | model-card | published reference card; no user checkpoint | HF |
| OtoSage EfficientNetV2-S Reference | model-card | published reference card; no user checkpoint | HF |
Deliberately not misrepresented
- AgentForge provider-backed LLM: no specific production model is pinned yet, so no LLM checkpoint is published as mine.
- ClinRoute Transformer candidate: optional path exists, but no specific Transformer candidate is currently selected/benchmarked.
- Otoscopic medical images: metadata card only; images are not redistributed without established rights/provenance.
- OtoVision/OtoSage pretrained EfficientNet weights: referenced via torchvision identifiers; third-party pretrained weights are not mirrored as user-trained models.
GitHub portfolio: https://github.com/singhankitsrf
Hugging Face profile: https://huggingface.co/singhankit491