1hunters / LIMPQView external linksLinks
Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"
☆61Mar 19, 2023Updated 2 years ago
Alternatives and similar repositories for LIMPQ
Users that are interested in LIMPQ are comparing it to the libraries listed below
Sorting:
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆28Dec 6, 2023Updated 2 years ago
- This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…☆24Aug 17, 2021Updated 4 years ago
- ☆25Dec 11, 2021Updated 4 years ago
- Official PyTorch implementation of "Evolving Search Space for Neural Architecture Search"☆12Aug 18, 2021Updated 4 years ago
- Code for RepNAS☆14Dec 21, 2021Updated 4 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
- PyTorch implementation of Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation☆23Feb 17, 2020Updated 5 years ago
- ☆11Jan 10, 2025Updated last year
- ☆26Apr 12, 2022Updated 3 years ago
- Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23☆23Apr 25, 2023Updated 2 years ago
- Quantization in the Jagged Loss Landscape of Vision Transformers☆13Oct 22, 2023Updated 2 years ago
- ☆28Oct 21, 2020Updated 5 years ago
- TF-FD☆20Nov 19, 2022Updated 3 years ago
- ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting☆14Jun 5, 2019Updated 6 years ago
- Official PyTorch implementation of "Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets" (ICLR 2023 notable top 25%)☆26Mar 18, 2024Updated last year
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆60Mar 23, 2023Updated 2 years ago
- Benchmarks for Macro Neural Architecture Search; used and described in the paper "Local Search is a Remarkably Strong Baseline for Neural…☆12Jul 25, 2024Updated last year
- EQ-Net [ICCV 2023]☆30Aug 15, 2023Updated 2 years ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆453May 15, 2023Updated 2 years ago
- The reproduce for "AM-LFS: AutoML for Loss Function Search"☆14May 20, 2020Updated 5 years ago
- ☆20Aug 16, 2021Updated 4 years ago
- [NeurIPS 2024] Search for Efficient LLMs☆16Jan 16, 2025Updated last year
- Simple pytorch classification baselines for MNIST, CIFAR and ImageNet☆19Aug 7, 2019Updated 6 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆60Jul 27, 2020Updated 5 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆37Aug 20, 2024Updated last year
- DeiT implementation for Q-ViT☆25Apr 21, 2025Updated 9 months ago
- ☆28Nov 29, 2023Updated 2 years ago
- ☆17Jul 10, 2022Updated 3 years ago
- The official implementation of paper PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search☆31Sep 5, 2023Updated 2 years ago
- PyTorch code and checkpoints release for VanillaKD: https://arxiv.org/abs/2305.15781☆76Nov 21, 2023Updated 2 years ago
- Encodings for neural architecture search☆29Apr 5, 2021Updated 4 years ago
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆106May 22, 2023Updated 2 years ago
- To appear in the 11th International Conference on Learning Representations (ICLR 2023).☆18Feb 24, 2023Updated 2 years ago
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆30Dec 6, 2023Updated 2 years ago
- XNAS: An effective, modular, and flexible Neural Architecture Search (NAS) framework.☆47Jun 29, 2022Updated 3 years ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆37Oct 3, 2023Updated 2 years ago
- ☆36Mar 29, 2023Updated 2 years ago
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆56Mar 4, 2024Updated last year
- IntLLaMA: A fast and light quantization solution for LLaMA☆18Jul 21, 2023Updated 2 years ago