This project is the official implementation of our accepted IEEE TPAMI paper Diverse Sample Generation: Pushing the Limit of Data-free Quantization
☆16Sep 11, 2026Updated last month
Alternatives and similar repositories for DSG
Users that are interested in DSG are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Rethinking Data-Free Quantization as a Zero-Sum Game☆10Oct 27, 2024Updated 2 years ago
- ☆14Oct 6, 2023Updated 3 years ago
- ☆23Oct 27, 2024Updated 2 years ago
- Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]☆35Dec 12, 2021Updated 4 years ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆61Mar 23, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- BitSplit Post-trining Quantization☆49Dec 20, 2021Updated 4 years ago
- Quantization in the Jagged Loss Landscape of Vision Transformers☆14Oct 22, 2023Updated 3 years ago
- SQuant [ICLR22]☆130Sep 27, 2022Updated 4 years ago
- [ICCV 2025] Task-Specific Zero-shot Quantization-Aware Training for Object Detection☆31Sep 26, 2025Updated last year
- It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]☆29Sep 15, 2022Updated 4 years ago
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆55Sep 11, 2026Updated last month
- vision transformer; post-training quantization; model compression; ViT☆13Sep 1, 2026Updated 2 months ago
- super-resolution; post-training quantization; model compression☆14Nov 10, 2023Updated 2 years ago
- [ECCV 2024] CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTs☆20Jul 2, 2024Updated 2 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.
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆282Dec 8, 2023Updated 2 years ago
- [NeurIPS 2023 Spotlight] This project is the official implementation of our accepted NeurIPS 2023 (spotlight) paper QuantSR: Accurate Low…☆56Sep 11, 2026Updated last month
- Pytorch implementation of BiFSMN, IJCAI 2022☆23Sep 11, 2026Updated last month
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆36Jun 29, 2023Updated 3 years ago
- AAAI2023 Efficient and Accurate Models towards Practical Deep Learning Baseline☆13Nov 29, 2022Updated 3 years ago
- SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning (ICLR 2025)☆26Feb 7, 2025Updated last year
- Piecewise-Affine Regularized Quantization☆21Updated this week
- Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Sh…☆37Mar 2, 2022Updated 4 years ago
- Pytorch implementation of BiFSMNv2, TNNLS 2023☆37Sep 11, 2026Updated last month
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆136Sep 23, 2025Updated last year
- [ICLR 2024] Jaiswal, A., Gan, Z., Du, X., Zhang, B., Wang, Z., & Yang, Y. Compressing llms: The truth is rarely pure and never simple.☆27Apr 21, 2025Updated last year
- ☆26Oct 31, 2024Updated 2 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
- High Performance FP8 GEMM Kernels for SM89 and later GPUs.☆21Jan 24, 2025Updated last year
- ☆15Mar 30, 2024Updated 2 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆69Nov 4, 2021Updated 4 years ago
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆65Sep 11, 2026Updated last month
- [IJCAI 2023] CLE-ViT: Contrastive Learning Encoded Transformer for Ultra-Fine-Grained Visual Categorization.☆10Nov 3, 2023Updated 2 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.
- [ICML 2024] Sparse Model Inversion: Efficient Inversion of Vision Transformers with Less Hallucination☆15Apr 29, 2025Updated last year
- [NeurIPS'22] Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. Haotao Wang, Junyuan Hong,…☆15Nov 27, 2023Updated 2 years ago
- [CVPR 2025 Highlight] FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation☆29Jun 16, 2025Updated last year
- source code of the paper: Robust Quantization: One Model to Rule Them All☆42Mar 24, 2023Updated 3 years ago
- PyTorch implementation of Language model compression with weighted low-rank factorization☆14Jun 28, 2023Updated 3 years ago
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆29Dec 6, 2023Updated 2 years ago
- [UNDER CONSTRUCTION]unofficial implementation of ABC-Net☆12Feb 5, 2018Updated 8 years ago