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3 repositories by Attention Score · Oct 4, 2026 – Nov 2, 2026 (UTC)

Language: Python
Topic: metrics
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1.roboflow / supervision

We write your reusable computer vision tools. 💜

computer-vision
image-processing
python
yolo
instance-segmentation
object-detection
+13 more

Python MIT51K total4.9K forks

+435 stars

from 51,019 · score 6.08

2.MichaelGrupp / evo

Python package for the evaluation of odometry and SLAM

slam
odometry
evaluation
metrics
robotics
trajectory
+9 more

Python GPL-3.04.4K total803 forks

+29 stars

from 4,324 · score 3.40

3.pytorch / ignite

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

pytorch
neural-network
python
machine-learning
deep-learning
metrics
+2 more

Python BSD-3-CLAUSE4.8K total764 forks

+12 stars

from 4,787 · score 2.56

Order: Attention Score

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Ranked by stars gained in the window. The score is the natural log of one plus that gain, so a repository's rank is exactly its star gain's rank.

score = log1p(net stars gained in the trailing T complete UTC days)

A repository is ranked only when its Star History covers every day of the window and its latest Observation is not missing.

The longest window is 180 days. Star History from the Repository Host goes back at most 180 days before a repository's first Observation. A longer window needs more days of Observations first. A repository younger than the window is not ranked in it.

The filters narrow the same eligible repositories. A repository matches the topics when it has any of them. Total stars is the count now. Last push and creation on the Repository Host count back from the start of today (UTC). The counts beside the languages, licenses, and topics include all ranked repositories in the window. A Tag holds the repositories that have it; see Tags.

Repositories enter the index from the Seed Dataset or by gaining stars faster than the published admission threshold, whatever their size. Admission is permanent, so an archived repository can still rank.

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