This is the official PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".
☆45Nov 25, 2021Updated 4 years ago
Alternatives and similar repositories for SAQ
Users that are interested in SAQ are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆73Oct 7, 2021Updated 5 years ago
- [TPAMI 2024] This is the official repository for our paper: ''Pruning Self-attentions into Convolutional Layers in Single Path''.☆115Dec 30, 2023Updated 2 years ago
- This is the official PyTorch implementation for "Mesa: A Memory-saving Training Framework for Transformers".☆119Dec 12, 2021Updated 4 years ago
- ☆18Oct 4, 2022Updated 4 years ago
- Quantization in the Jagged Loss Landscape of Vision Transformers☆14Oct 22, 2023Updated 3 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.
- Training Quantized Neural Networks with a Full-precision Auxiliary Module☆13Jun 19, 2020Updated 6 years ago
- Inference-based time-resolved whole-brain imaging☆14Apr 16, 2024Updated 2 years ago
- An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.☆97Jul 14, 2023Updated 3 years ago
- Post-training sparsity-aware quantization☆34Feb 26, 2023Updated 3 years ago
- [AAAI 2022] This is the official PyTorch implementation of "Less is More: Pay Less Attention in Vision Transformers"☆97Jun 19, 2022Updated 4 years ago
- It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]☆29Sep 15, 2022Updated 4 years ago
- PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)☆18Jun 22, 2022Updated 4 years ago
- A Out-of-box PyTorch Scaffold for Neural Network Quantization-Aware-Training (QAT) Research. Website: https://github.com/zhutmost/neuralz…☆27Dec 20, 2022Updated 3 years ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆136Sep 23, 2025Updated last year
- 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.
- Rethinking Data-Free Quantization as a Zero-Sum Game☆10Oct 27, 2024Updated 2 years ago
- Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]☆35Dec 12, 2021Updated 4 years ago
- [NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "EcoFormer: Energy-Saving Attention with Linear Complexity"☆74Nov 15, 2022Updated 3 years ago
- The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear)…☆45Dec 10, 2022Updated 3 years ago
- official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)☆56Jul 23, 2023Updated 3 years ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆50Oct 5, 2022Updated 4 years ago
- Official implementation of Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information☆12Sep 28, 2023Updated 3 years ago
- Code for AAAI 2024 paper: CR-SAM: Curvature Regularized Sharpness-Aware Minimization☆12Nov 29, 2024Updated last year
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆39Mar 11, 2024Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆93May 5, 2022Updated 4 years ago
- [ECCV 2024] This is the official implementation of "Stitched ViTs are Flexible Vision Backbones".☆29Jan 23, 2024Updated 2 years ago
- ☆82Jul 21, 2022Updated 4 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
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆25Mar 29, 2024Updated 2 years ago
- ☆25Dec 11, 2021Updated 4 years ago
- (CVPR 2022) Automated Progressive Learning for Efficient Training of Vision Transformers☆25Feb 26, 2025Updated last year
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆141Apr 28, 2022Updated 4 years ago
- Pytorch implementation of our paper accepted by ECCV 2022-- Fine-grained Data Distribution Alignment for Post-Training Quantization☆16Sep 13, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A simple program scheduler for your code on different devices.☆12Mar 8, 2026Updated 7 months ago
- Survey for Model Compression☆23Jun 17, 2021Updated 5 years ago
- ☆26Oct 31, 2024Updated 2 years ago
- [CVPR 2023] This is the official PyTorch implementation for "Dynamic Focus-aware Positional Queries for Semantic Segmentation".☆61Mar 4, 2023Updated 3 years ago
- BitSplit Post-trining Quantization☆49Dec 20, 2021Updated 4 years ago
- An official PyTorch implementation of the paper "Distance-aware Quantization", ICCV 2021.☆48Nov 1, 2024Updated 2 years ago
- ☆14Oct 6, 2023Updated 3 years ago