code and data for SCORED conference
├── assets
│ ├── data
│ │ ├── model_hubs.json
│ │ ├── top20model_downloads.json
│ │ ├── top20npm_downloads.json
│ │ └── top20pypi_downloads.json
│ └── figures
│ ├── err.png
│ └── registry_monthly_downloads.png
├── reproducibility
│ ├── results
│ │ ├── COCO
│ │ │ └── **.txt
│ │ ├── EMOTION
│ │ │ ├── emotion-models.json
│ │ │ ├── sentiment_analysis.json
│ │ │ └── sentiment_err.json
│ │ └── IMAGENET
│ │ └── image_classification.json
│ ├── detection.py
│ ├── image_classification.py
│ ├── results.csv
│ ├── results.json
│ ├── results.py
│ └── sentiment_analysis.py
├── LICENSE
├── README.md
├── audit.py
├── err.png
├── err.py
├── ignore.json
├── modelinfo.json
├── modelinfo.py
├── ptm.py
└── requirements.txt
Contains output of object detection models evaluated on the COCO2017 dataset.
- facebook/detr-resnet-101-dc5
- facebook/detr-resnet-101
- facebook/detr-resnet-50-dc5
- facebook/detr-resnet-50
- hustvl/yolos-base
- hustvl/yolos-small-dwr
- hustvl/yolos-small
- hustvl/yolos-tiny
- contains model metadata for 67K+ repos
- used in audit.py
- some models require a sign in to get access and others are restricted for various reasons
- we ignore those
updates data in the modelinfo.json to contain most up to date info on 67K+ repos.
- loads all models in modelinfo.json and associated metadata as PTM objects (ptm.py)
- finds trends among tasks, downloads, claims, etc
Reads validation data and generates err.png
which shows the fraction of models that have > 1% discrepancy.
Contains code to reproduce the results of HF models. Many models are not reproducible.
Contains output of:
- image classification models evaluated on the imagenet dataset
- text classification models evaluated on the emotion dataset