tianyic / only_train_once_personal_footprintLinks
OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM
☆308Updated 10 months ago
Alternatives and similar repositories for only_train_once_personal_footprint
Users that are interested in only_train_once_personal_footprint are comparing it to the libraries listed below
Sorting:
- [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer☆347Updated 2 years ago
- This is a collection of our zero-cost NAS and efficient vision applications.☆427Updated last year
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆126Updated 2 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆282Updated 4 years ago
- ☆205Updated 3 years ago
- Post-Training Quantization for Vision transformers.☆223Updated 3 years ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆123Updated 2 years ago
- A model compression and acceleration toolbox based on pytorch.☆332Updated last year
- ☆237Updated 2 years ago
- [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers☆191Updated 2 years ago
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆133Updated 3 years ago
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆96Updated 2 years ago
- A simple network quantization demo using pytorch from scratch.☆535Updated 2 years ago
- ☆226Updated 3 years ago
- A library for researching neural networks compression and acceleration methods.☆138Updated 11 months ago
- Model Quantization Benchmark☆827Updated 3 months ago
- Awasome Papers and Resources in Deep Neural Network Pruning with Source Code.☆161Updated 11 months ago
- [ECCV 2024] Isomorphic Pruning for Vision Models☆73Updated last year
- The official PyTorch implementation of CHEX: CHannel EXploration for CNN Model Compression (CVPR 2022). Paper is available at https://ope…☆38Updated 3 years ago
- ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting (ICCV 2021)☆297Updated 2 years ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆305Updated 5 months ago
- Offline Quantization Tools for Deploy.☆132Updated last year
- Official repo of RepOptimizers and RepOpt-VGG☆264Updated 2 years ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆46Updated last year
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆56Updated last year
- 针对pytorch模型的自动化模型结构分析和修改工具集,包含自动分析模型结构的模型压缩算法库☆251Updated 2 years ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆57Updated 2 years ago
- [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …☆72Updated 3 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆137Updated 4 years ago
- ☆61Updated last year