tianyic / only_train_once_personal_footprint
OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM
☆301Updated 6 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
- This is a collection of our zero-cost NAS and efficient vision applications.☆412Updated last year
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆113Updated last year
- Pytorch implementation of BRECQ, ICLR 2021☆269Updated 3 years ago
- ☆225Updated 3 years ago
- Model Quantization Benchmark☆795Updated 2 months ago
- [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer☆329Updated last year
- Post-Training Quantization for Vision transformers.☆209Updated 2 years ago
- [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers☆181Updated 2 years ago
- A library for researching neural networks compression and acceleration methods.☆141Updated 6 months ago
- ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting (ICCV 2021)☆294Updated 2 years ago
- A simple network quantization demo using pytorch from scratch.☆522Updated last year
- ☆226Updated 2 years ago
- ☆202Updated 3 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆277Updated last year
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆115Updated 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☆250Updated last year
- The official PyTorch implementation of CHEX: CHannel EXploration for CNN Model Compression (CVPR 2022). Paper is available at https://ope…☆37Updated 2 years ago
- Official code for our CVPR'22 paper “Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space”☆249Updated last year
- ☆15Updated 5 months ago
- Awasome Papers and Resources in Deep Neural Network Pruning with Source Code.☆152Updated 6 months ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆429Updated last year
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆278Updated 3 weeks ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆271Updated 3 months ago
- [ECCV 2024] Isomorphic Pruning for Vision Models☆66Updated 8 months ago
- ☆232Updated 7 months ago
- Offline Quantization Tools for Deploy.☆126Updated last year
- Awesome machine learning model compression research papers, quantization, tools, and learning material.☆507Updated 6 months ago
- [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …☆71Updated 2 years ago
- On-the-fly Structured Pruning for PyTorch models. This library implements several attributions metrics and structured pruning utils for n…☆164Updated 4 years ago
- A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including languag…☆175Updated last month