[CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
☆280Dec 8, 2023Updated 2 years ago
Alternatives and similar repositories for ZeroQ
Users that are interested in ZeroQ are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆264Oct 3, 2023Updated 2 years ago
- BitSplit Post-trining Quantization☆49Dec 20, 2021Updated 4 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Jun 10, 2021Updated 5 years ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆461May 15, 2023Updated 3 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆300Aug 1, 2021Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆68Nov 4, 2021Updated 4 years ago
- official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)☆55Jul 23, 2023Updated 2 years ago
- Quantization of Convolutional Neural networks.☆250Aug 5, 2024Updated last year
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆130Jan 2, 2020Updated 6 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆139Nov 19, 2020Updated 5 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54May 8, 2020Updated 6 years ago
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆411Feb 26, 2021Updated 5 years ago
- PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)☆18Jun 22, 2022Updated 3 years ago
- ☆58Dec 8, 2020Updated 5 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Algorithm-hardware Co-design for Deformable Convolution☆24Jan 14, 2021Updated 5 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆287Dec 11, 2024Updated last year
- This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…☆24Aug 17, 2021Updated 4 years ago
- ☆49Jul 28, 2020Updated 5 years ago
- An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.☆96Jul 14, 2023Updated 2 years ago
- [CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for a…☆181Mar 14, 2020Updated 6 years ago
- Unofficial implementation of LSQ-Net, a neural network quantization framework☆314May 8, 2024Updated 2 years ago
- Summary, Code for Deep Neural Network Quantization☆562May 26, 2026Updated 2 weeks ago
- [CVPR'20] ZeroQ Mixed-Precision implementation (unofficial): A Novel Zero Shot Quantization Framework☆14Dec 16, 2020Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [ICML'21 Oral] I-BERT: Integer-only BERT Quantization☆268Jan 29, 2023Updated 3 years ago
- SQuant [ICLR22]☆131Sep 27, 2022Updated 3 years ago
- ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.☆265Nov 11, 2021Updated 4 years 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…☆2,393May 11, 2026Updated last month
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆61Mar 23, 2023Updated 3 years ago
- Model Quantization Benchmark☆868Apr 20, 2025Updated last year
- ☆49Jan 21, 2022Updated 4 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆61Jul 27, 2020Updated 5 years ago
- Post-training sparsity-aware quantization☆34Feb 26, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- DNN quantization with outlier channel splitting (ICML'19)☆114Mar 21, 2020Updated 6 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
- Conditional channel- and precision-pruning on neural networks☆71Mar 4, 2020Updated 6 years ago
- This is the official pytorch implementation for paper: BiDet: An Efficient Binarized Object Detector, which is accepted by CVPR2020.☆171Jul 7, 2021Updated 4 years ago
- A pytorch implementation of dorefa quantization☆114Dec 30, 2019Updated 6 years ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆131Sep 23, 2025Updated 8 months ago
- BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.☆58Feb 7, 2023Updated 3 years ago