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Topics: machinelearning

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

Language: Python
Topic: machinelearning
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1.ludwig-ai / ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models

deep-learning
deeplearning
deep
learning
machine-learning
machinelearning
+14 more

Python APACHE-2.012K total1.2K forks

+11 stars

from 11,781 · score 2.48

2.vaexio / vaex

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

dataframe
python
bigdata
tabular-data
visualization
memory-mapped-file
+5 more

Python MIT8.5K total600 forks

+1 stars

from 8,517 · score 0.69

3.gmalivenko / pytorch2keras

PyTorch to Keras model convertor

pytorch
keras-model-convertor
keras
tensorflow
onnx
keras-models
+14 more

Python MIT861 total143 forks

+1 stars

from 860 · score 0.69

Order: Attention Score

Most net stars gained in the window first. The score only puts this gain on a log scale, so the order is the order of the gain.

How the ranking works

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 Category holds the repositories that its published rules match; see Categories.

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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