Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization
☆37Mar 2, 2022Updated 4 years ago
Alternatives and similar repositories for IntraQ
Users that are interested in IntraQ are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆14Oct 6, 2023Updated 2 years ago
- Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]☆34Dec 12, 2021Updated 4 years ago
- super-resolution; post-training quantization; model compression☆14Nov 10, 2023Updated 2 years ago
- ☆22Oct 27, 2024Updated last year
- [ECCV 2022] Patch Similarity Aware Data-Free Quantization for Vision Transformers☆124Dec 22, 2022Updated 3 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.
- official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)☆55Jul 23, 2023Updated 2 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆299Aug 1, 2021Updated 4 years ago
- It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]☆29Sep 15, 2022Updated 3 years ago
- ☆25Nov 22, 2024Updated last year
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆49Oct 5, 2022Updated 3 years ago
- A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.☆37Dec 5, 2021Updated 4 years ago
- An official implement of CVPR 2023 paper - NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers☆26Mar 13, 2024Updated 2 years ago
- [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation☆75Apr 7, 2022Updated 4 years ago
- ☆82Jul 21, 2022Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Post-Training Quantization for Vision transformers.☆242Jul 19, 2022Updated 3 years ago
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆103Mar 12, 2024Updated 2 years ago
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆145Apr 1, 2023Updated 3 years ago
- ☆25Dec 11, 2021Updated 4 years ago
- Official implementation of "Continual Learning by Modeling Intra-Class Variation" (MOCA). [TMLR 2023]☆16Mar 3, 2023Updated 3 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆138Nov 19, 2020Updated 5 years ago
- Unofficial implementation of LSQ-Net, a neural network quantization framework☆314May 8, 2024Updated 2 years ago
- [WACV2022] Official Code for the "DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution Networks"☆27Feb 19, 2024Updated 2 years ago
- 3rd place solution for NeurIPS 2019 MicroNet challenge☆37Nov 8, 2019Updated 6 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.
- [ACM MM2025]: MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization☆44Aug 13, 2025Updated 9 months ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆280Dec 8, 2023Updated 2 years ago
- Training Quantized Neural Networks with a Full-precision Auxiliary Module☆13Jun 19, 2020Updated 5 years ago
- Pytorch implementation of our paper accepted by ECCV2022 -- Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networ…☆30Sep 13, 2022Updated 3 years ago
- ☆14Apr 21, 2022Updated 4 years ago
- This is the official pytorch implementation for the paper: *Quantformer: Learning Extremely Low-precision Vision Transformers*.☆31Nov 14, 2022Updated 3 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
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆61Mar 23, 2023Updated 3 years ago
- Example for applying Gaussian and Laplace clipping on activations of CNN.☆34Jan 20, 2019Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- basic install & update shell scripts for Ubuntu☆10Sep 2, 2020Updated 5 years ago
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆89Mar 17, 2025Updated last year
- This repository contains integer operators on GPUs for PyTorch.☆236Sep 29, 2023Updated 2 years ago
- ☆27Jan 30, 2024Updated 2 years ago
- An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.☆96Jul 14, 2023Updated 2 years ago
- EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activatio…☆408Nov 22, 2022Updated 3 years ago
- Pytorch implementation of RAPQ, IJCAI 2022☆23Jul 19, 2023Updated 2 years ago