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#self-supervised-learning (9 Repositories)

Ranked open-source repositories tagged with #self-supervised-learning, scored by pull request acceptance likelihood and maintainer engagement velocity.

Topic Avg Merge Rate

19.7%

Avg Review Latency

21.2h

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9 repositories tagged #self-supervised-learning

S TierPython 1.6k 4 GFIs

lightly-ai/lightly-train

All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.

87.6%
Merge Rate
<1h
First Review
100%
1st-Timers
8
Maintainers
A TierPython 1.3k

open-edge-platform/geti

Build computer vision models in a fraction of the time and with less data.

89.6%
Merge Rate
8d
First Review
84%
1st-Timers
20
Maintainers
B TierPython 320

Optimization-AI/LibAUC

LibAUC: A Deep Learning Library for X-Risk Optimization

0.0%
Merge Rate
-
First Review
0%
1st-Timers
1
Maintainers
D TierPython 2.0k

alibaba/EasyCV

An all-in-one toolkit for computer vision

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierPython 279

valeoai/Franca

Official code of Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierPython 481

facebookresearch/pixio

[CVPR 2026] Pixio: a capable vision encoder dedicated to dense prediction, simply by pixel reconstruction

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierPython 150

prism-oncology/novae

Graph-based foundation model for spatial transcriptomics data. Zero-shot spatial domain inference, batch-effect correction, and many other features.

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierPython 489

JiawangBian/sc_depth_pl

SC-Depth (V1, V2, and V3) for Unsupervised Monocular Depth Estimation Webpage:https://jiawangbian.github.io/sc_depth_pl/

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierJUJupyter Notebook 791

MrGiovanni/ModelsGenesis

[MICCAI 2019 Young Scientist Award] [MedIA Best Paper Award] Models Genesis: self-supervised pre-training for 3D medical images. Learns transferable representations from unlabeled CT and MRI volumes, then fine-tunes for downstream segmentation and classification. Keras and PyTorch weights included.

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
Best Self-supervised-learning Open Source Repositories & C-Rank™ | GetMerged