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Topics: convolutional-networks

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2 repositories by Attention Score · May 7, 2026 – Nov 2, 2026 (UTC)

Language: Python
Topic: convolutional-networks
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1.milesial / Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

pytorch
unet
pytorch-unet
semantic-segmentation
convolutional-networks
kaggle
+5 more

Python GPL-3.012K total2.8K forks

+409 stars

from 11,332 · score 6.02

2.thtrieu / darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

tensorflow
graph
darknet
deep-learning
deep-neural-networks
convolutional-neural-networks
+6 more

Python GPL-3.06.1K total2K forks

+13 stars

from 6,126 · score 2.64

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.

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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.

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