aaronserianni / training-free-nas
[ACL'22] Training-free Neural Architecture Search for RNNs and Transformers
☆14Updated 11 months ago
Alternatives and similar repositories for training-free-nas:
Users that are interested in training-free-nas are comparing it to the libraries listed below
- Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23☆22Updated 2 years ago
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆25Updated last year
- ☆21Updated 2 years ago
- Code for RepNAS☆13Updated 3 years ago
- Official PyTorch implementation of "Evolving Search Space for Neural Architecture Search"☆12Updated 3 years ago
- [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…☆40Updated 2 years ago
- [NeurIPS 2024] Search for Efficient LLMs☆13Updated 3 months ago
- The official project website of "NORM: Knowledge Distillation via N-to-One Representation Matching" (The paper of NORM is published in IC…☆20Updated last year
- ☆24Updated 3 years ago
- BESA is a differentiable weight pruning technique for large language models.☆16Updated last year
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆33Updated last year
- ☆12Updated last year
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆30Updated 8 months ago
- ☆20Updated 2 years ago
- Official PyTorch implementation of "Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets" (ICLR 2023 notable top 25%)☆24Updated last year
- This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…☆25Updated 3 years ago
- A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS).☆23Updated 3 years ago
- [ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Li…☆52Updated last year
- Macro Neural Architecture Search Benchmark☆16Updated 2 years ago
- Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction☆11Updated 2 years ago
- Neuron Merging: Compensating for Pruned Neurons (NeurIPS 2020)☆42Updated 4 years ago
- [NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "EcoFormer: Energy-Saving Attention with Linear Complexity"☆71Updated 2 years ago
- [ICLR 2022] "Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, and No Retraining" by Lu Miao*, Xiaolong Luo*, T…☆29Updated 3 years ago
- ☆26Updated last year
- [NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang W…☆27Updated 2 years ago
- To appear in the 11th International Conference on Learning Representations (ICLR 2023).☆17Updated 2 years ago
- ☆25Updated 3 years ago
- ☆22Updated 2 years ago
- FOX-NAS: Fast, On-device and Explainable NeuralArchitecture Search☆10Updated 3 years ago
- ☆17Updated last year