Python · Apache-2.0
autodistill/autodistill
Images to inference with no labeling (use foundation models to train supervised models).
★ 2.8k
Stars
227 forks · 53 open issues
+3.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
24.8
Momentum / 100
see the breakdown below
3y ago
Created
last push 40d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 3.0 | +3.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | last week ran 0.86× the monthly pace |
| Freshness | 15 | 11.9 | last push 40d ago; decays to zero at 180 days |
| Scale | 15 | 10.0 | 2.8k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 24.8 | sum of the above |
Detail
| Topics | auto-labelingcomputer-visiondeep-learningfoundation-modelsgrounding-dinoimage-annotationimage-classificationinstance-segmentationlabeling-toolmachine-learningmodel-distillationmultimodalobject-detectionpytorchsegment-anythingyolov5yolov8 |
| Matched on | Computer Vision (object-detection) |
| Short window | +3 stars over 7 days = 0.4/day |
| Long window | +13 stars over 26 days = 0.5/day |
| Lifetime average | 2.24 stars/day over 1,248 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |