[ICLR 2022] "Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, and No Retraining" by Lu Miao*, Xiaolong Luo*, Tianlong Chen, Wuyang Chen, Dong Liu, Zhangyang Wang
☆34Jan 20, 2022Updated 4 years ago
Alternatives and similar repositories for SFW-Once-for-All-Pruning
Users that are interested in SFW-Once-for-All-Pruning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.☆11Oct 20, 2020Updated 5 years ago
- [ICLR 2021] "UMEC: Unified Model and Embedding Compression for Efficient Recommendation Systems" by Jiayi Shen, Haotao Wang*, Shupeng Gui…☆39Dec 30, 2021Updated 4 years ago
- ☆46Apr 8, 2024Updated 2 years ago
- A Signal Propagation Perspective for Pruning Neural Networks at Initialization☆14Jun 23, 2020Updated 5 years ago
- We propose a lossless compression algorithm based on the NTK matrix for DNN. The compressed network yields asymptotically the same NTK a…☆26Nov 23, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity☆42Oct 6, 2021Updated 4 years ago
- Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23☆23Apr 25, 2023Updated 3 years ago
- [ICLR 2021] CompOFA: Compound Once-For-All Networks For Faster Multi-Platform Deployment☆25Jan 5, 2023Updated 3 years ago
- [NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang W…☆27Sep 23, 2022Updated 3 years ago
- A generic code base for neural network pruning, especially for pruning at initialization.☆32Sep 3, 2022Updated 3 years ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆462May 15, 2023Updated 2 years ago
- [ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlo…☆78Jan 9, 2023Updated 3 years ago
- BESA is a differentiable weight pruning technique for large language models.☆17Mar 4, 2024Updated 2 years ago
- Distributionally Robust Learning in PyTorch. Install with `pip install sqwash`.☆12Oct 6, 2023Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆20Nov 27, 2022Updated 3 years ago
- ☆20Apr 17, 2024Updated 2 years ago
- [NeurIPS 2024] Search for Efficient LLMs☆17Jan 16, 2025Updated last year
- A repository for LotteryFL re-implementation and experiments☆13Dec 18, 2020Updated 5 years ago
- Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.☆110Apr 23, 2019Updated 7 years ago
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆34May 21, 2023Updated 2 years ago
- [NeurIPS'21] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang…☆88Dec 1, 2023Updated 2 years ago
- [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…☆41Sep 9, 2025Updated 7 months ago
- [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning☆20Jul 7, 2022Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- [CVPR 2022] DiSparse: Disentangled Sparsification for Multitask Model Compression☆14Sep 6, 2022Updated 3 years ago
- Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot☆43Nov 8, 2020Updated 5 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆105Feb 18, 2020Updated 6 years ago
- Codes for paper "Few Shot Network Compression via Cross Distillation", AAAI 2020.☆30Jan 31, 2020Updated 6 years ago
- Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)☆26Nov 12, 2020Updated 5 years ago
- ☆229Jul 25, 2024Updated last year
- The official project website of "NORM: Knowledge Distillation via N-to-One Representation Matching" (The paper of NORM is published in IC…☆20Sep 18, 2023Updated 2 years ago
- Low-Rank Llama Custom Training☆23Mar 27, 2024Updated 2 years ago
- ☆12Aug 26, 2022Updated 3 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- An implementation of <Group Fisher Pruning for Practical Network Compression> based on pytorch and mmcv☆18Nov 21, 2021Updated 4 years ago
- [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…☆15Dec 30, 2021Updated 4 years ago
- JDATA2019 雪豹识别挑战赛冠军方案☆23Feb 24, 2020Updated 6 years ago
- ☆18Aug 19, 2024Updated last year
- ☆13Oct 8, 2017Updated 8 years ago
- Fast Inference in Denoising Diffusion Models via MMD Finetuning☆18Dec 4, 2023Updated 2 years ago
- ☆23Oct 24, 2022Updated 3 years ago