Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
☆453May 15, 2023Updated 2 years ago
Alternatives and similar repositories for HAWQ
Users that are interested in HAWQ are comparing it to the libraries listed below
Sorting:
- BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.☆58Feb 7, 2023Updated 3 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆281Dec 8, 2023Updated 2 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆290Aug 1, 2021Updated 4 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆42Jan 12, 2021Updated 5 years ago
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆403Feb 26, 2021Updated 5 years ago
- BitSplit Post-trining Quantization☆50Dec 20, 2021Updated 4 years ago
- Model Quantization Benchmark☆859Apr 20, 2025Updated 10 months ago
- A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are co…☆2,329Jan 29, 2026Updated last month
- Unofficial implementation of LSQ-Net, a neural network quantization framework☆309May 8, 2024Updated last year
- PyTorch implementation for the APoT quantization (ICLR 2020)☆286Dec 11, 2024Updated last year
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆139Nov 19, 2020Updated 5 years ago
- An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.☆94Jul 14, 2023Updated 2 years ago
- micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantiz…☆2,269May 6, 2025Updated 10 months ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Jun 10, 2021Updated 4 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆263Oct 3, 2023Updated 2 years ago
- ☆43Jan 30, 2024Updated 2 years ago
- List of papers related to neural network quantization in recent AI conferences and journals.☆806Mar 27, 2025Updated 11 months ago
- [ICML'21 Oral] I-BERT: Integer-only BERT Quantization☆265Jan 29, 2023Updated 3 years ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆128Jan 2, 2020Updated 6 years ago
- PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks☆778Jul 10, 2025Updated 7 months ago
- [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer☆359Apr 11, 2023Updated 2 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆60Jul 27, 2020Updated 5 years ago
- Brevitas: neural network quantization in PyTorch☆1,493Mar 2, 2026Updated last week
- The code for Joint Neural Architecture Search and Quantization☆14Apr 10, 2019Updated 6 years ago
- ☆57Dec 8, 2020Updated 5 years ago
- Quantization of Convolutional Neural networks.☆250Aug 5, 2024Updated last year
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆68Nov 4, 2021Updated 4 years ago
- Post-Training Quantization for Vision transformers.☆238Jul 19, 2022Updated 3 years ago
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆61Mar 19, 2023Updated 2 years ago
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆138Apr 28, 2022Updated 3 years ago
- [FPGA'21] CoDeNet is an efficient object detection model on PyTorch, with SOTA performance on VOC and COCO based on CenterNet and Co-Desi…☆28Feb 7, 2023Updated 3 years ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆128Sep 23, 2025Updated 5 months ago
- AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.☆2,565Updated this week
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆93May 5, 2022Updated 3 years ago
- Post-training sparsity-aware quantization☆34Feb 26, 2023Updated 3 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
- EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activatio…☆407Nov 22, 2022Updated 3 years ago
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆28Dec 6, 2023Updated 2 years ago
- ☆169Mar 9, 2023Updated 2 years ago