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2 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)

Language: Jupyter Notebook
Topic: research
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1google-research / google-research

Google Research

machine-learning
ai
research

Jupyter Notebook APACHE-2.039K total8.5K forks

+63 stars

from 39,025 · score 4.16

2unslothai / hyperlearn

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

machine-learning
python
statistics
scikit-learn
statsmodels
pytorch
+10 more

Jupyter Notebook APACHE-2.02.5K total170 forks

+1 stars

from 2,528 · score 0.69

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.

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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