Python efficient-deep-learning

Open-source Python projects categorized as efficient-deep-learning
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Topics: model-compression pruning graph-convolutional-networks image-captioning Gnn
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Top 3 Python efficient-deep-learning Projects

  • Torch-Pruning

    [CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs

    • Project mention: [P] Help: I want to compress EfficientnetV2 using pruning. | /r/MachineLearning | 2023-06-28

    I also tried structured pruning from https://github.com/VainF/Torch-Pruning, as they report EfficientNetV2 to be "prunable", but got much worse results. However, the advantage of this approach is that it keeps the model dense, and you can get a real speed-up with common GPUs, while unstructured pruning sparsifies the model and you need hardware that can exploit such sparsity.

  • efficient-gnns

    Code and resources on scalable and efficient Graph Neural Networks

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  • UPop

    [ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.

    • Project mention: Show HN: Compress vision-language and unimodal AI models by structured pruning | news.ycombinator.com | 2023-07-31
NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Python efficient-deep-learning related posts

  • [R] Recent Advances in Efficient and Scalable Graph Neural Networks

    1 project | /r/MachineLearning | 15 Mar 2022

  • [Project] Efficient and scalable Graph Neural Networks papers

    1 project | /r/MachineLearning | 15 Aug 2021

Index

What are some of the best open-source efficient-deep-learning projects in Python? This list will help you:

Project Stars
1 Torch-Pruning 2,307
2 efficient-gnns 525
3 UPop 83

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