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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A curated list of neural network pruning resources.
| Date | Stars |
|---|---|
| 2026-07-24 | 2496 |
| 2026-07-25 | 2496 |
| 2026-07-28 | 2496 |
| 2026-07-30 | 2496 |
| 2026-07-31 | 2497 |
| 2026-08-06 | 2497 |
Today
— stars today
This week
+1 stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.04%/day
# Awesome Pruning [](https://awesome.re)
A curated list of neural network pruning and related resources. Inspired by [awesome-deep-vision](https://github.com/kjw0612/awesome-deep-vision), [awesome-adversarial-machine-learning](https://github.com/yenchenlin/awesome-adversarial-machine-learning), [awesome-deep-learning-papers](https://github.com/terryum/awesome-deep-learning-papers) and [Awesome-NAS](https://github.com/D-X-Y/Awesome-NAS).
Please feel free to [pull requests](https://github.com/he-y/awesome-Pruning/pulls) or [open an issue](https://github.com/he-y/awesome-Pruning/issues) to add papers.
## Table of Contents
- [Type of Pruning](#type-of-pruning)
- [A Survey of Structured Pruning](#a-survey-of-structured-pruning-arxiv-version-and-ieee-t-pami-version)
- [2023 Venues](#2023)
- [2022 Venues](#2022)
- [2021 Venues](#2021)
- [2020 Venues](#2020)
- [2019 Venues](#2019)
- [2018 Venues](#2018)
- [2017 Venues](#2017)
- [2016 Venues](#2016)
- [2015 Venues](#2015)
### Type of Pruning
| Type | `F` | `W` | `S` | `Other` |
|:----------- |:--------------:|:--------------:|:----------------:|:-----------:|
| Explanation | Filter pruning | Weight pruning | Special Networks | other types |
### A Survey of Structured Pruning ([arXiv version](https://arxiv.org/abs/2303.00566) and [IEEE T-PAMI version](https://ieeexplore.ieee.org/document/10330640))
Please cite our paper if it's helpful:
```
@article{he2024structured,
author={He, Yang and Xiao, Lingao},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
title={Structured Pruning for Deep Convolutional Neural Networks: A Survey},
year={2024},
volume={46},
number={5},
pages={2900-2919},
doi={10.1109/TPAMI.2023.3334614}}
```
The related papers are categorized as below:
### 2023
| Title | Venue | Type | Code |
|:-------------------------------------------------------------------------------------------------------------------------------- |:-----:|:-------:|:----:|
| [Revisiting Pruning at Initialization Through the Lens of Ramanujan Graph](https://openreview.net/forum?id=uVcDssQff_) | ICLR | `W` | [PyTorch(Author)](https://github.com/VITA-Group/ramanujan-on-pai)(Releasing) |
| [Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?](https://openreview.net/forum?id=xSsW2Am-ukZ) | ICLR | `W` | - |
| [Bit-Pruning: A Sparse Multiplication-Less Dot-Product](https://openreview.net/forum?id=YUDiZcZTI8) | ICLR | `W` | [Code Deleted](https://github.com/DensoITLab/bitprune) |
| [NTK-SAP: Improving neural network pruning by aligning training dynamics](https://openreview.net/forum?id=-5EWhW_4qWP) | ICLR | `W` | - |
| [A Unified Framework for Soft Threshold Pruning](https://openreview.net/forum?id=cCFqcrq0d8) | ICLR | `W` | [PyTorch(Author)](https://github.com/Yanqi-Chen/LATS) |
| [CrAM: A Compression-Aware Minimizer](https://openreview.net/forum?id=_eTZBs-yedr) Excerpt of 106,955 characters
Read on GitHub
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Alex Pasquali · Tesla · Germany
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:a60931f26e5d5d27, topic:model-compression, topic:pruning, name:pruning
matched fp:a60931f26e5d5d27, topic:awesome-list, desc:curated list, readme:curated list