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#pruning (8 Repositories)

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

Topic Avg Merge Rate

17.1%

Avg Review Latency

37.3h

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8 repositories tagged #pruning

A TierPython 2.7k

intel/neural-compressor

SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime

70.4%
Merge Rate
4d
First Review
70%
1st-Timers
12
Maintainers
A TierPython 1.2k

openvinotoolkit/nncf

Neural Network Compression Framework for enhanced OpenVINO™ inference

66.4%
Merge Rate
-
First Review
50%
1st-Timers
15
Maintainers
D TierPython 2.7k

qualcomm/aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

0.0%
Merge Rate
8d
First Review
0%
1st-Timers
2
Maintainers
D TierPython 339

mehtadushy/SelecSLS-Pytorch

Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierPython 342

talebolano/yolov3-network-slimming

yolov3 network slimming剪枝的一种实现

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierPython 643

princeton-nlp/LLM-Shearing

[ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierJUJupyter Notebook 16.8k

datawhalechina/leedl-tutorial

《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierGo 1.9k

cupcakearmy/autorestic

Config driven, easy backup cli for restic.

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