DD-DuDa / awesome-vit-quantization-accelerationView external linksLinks
List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.
☆102Jun 2, 2024Updated last year
Alternatives and similar repositories for awesome-vit-quantization-acceleration
Users that are interested in awesome-vit-quantization-acceleration are comparing it to the libraries listed below
Sorting:
- ☆10Jun 4, 2024Updated last year
- The official implementation of the AAAI 2024 paper Bi-ViT.☆12Dec 18, 2023Updated 2 years ago
- [CVPR 2025] APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers☆38Apr 7, 2025Updated 10 months ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆37Oct 3, 2023Updated 2 years ago
- Quantization in the Jagged Loss Landscape of Vision Transformers☆13Oct 22, 2023Updated 2 years ago
- List of papers related to neural network quantization in recent AI conferences and journals.☆795Mar 27, 2025Updated 10 months ago
- TensorRT-in-Action 是一个 GitHub 代码库，提供了使用 TensorRT 的代码示例，并有对应 Jupyter Notebook。☆15Jun 1, 2023Updated 2 years ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆81Jul 28, 2025Updated 6 months ago
- The official implementation of the DAC 2024 paper GQA-LUT☆20Dec 20, 2024Updated last year
- [TCAD'23] AccelTran: A Sparsity-Aware Accelerator for Transformers☆56Nov 22, 2023Updated 2 years ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆60Mar 23, 2023Updated 2 years ago
- [CVPR 2025 Highlight] FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation☆25Jun 16, 2025Updated 7 months ago
- FPGA based Vision Transformer accelerator (Harvard CS205)☆149Feb 11, 2025Updated last year
- Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-level Sparsity via Mixture-of-Experts☆132May 10, 2024Updated last year
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆149Mar 21, 2025Updated 10 months ago
- [CVPR 2022] AlignQ: Alignment Quantization with ADMM-based Correlation Preservation☆11Jan 6, 2023Updated 3 years ago
- ☆14Jun 22, 2022Updated 3 years ago
- Codes for our paper "Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment" [NeurIPS'19 EMC2 workshop]…☆10Oct 12, 2020Updated 5 years ago
- Express DLA implementation for FPGA, revised based on NVDLA.☆11Oct 17, 2019Updated 6 years ago
- Imagenet(for image classification, 2012) 데이터 셋 다운로드 및 정리 방법 정리☆23Nov 24, 2020Updated 5 years ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆48Sep 27, 2024Updated last year
- ☆79Jul 21, 2022Updated 3 years ago
- [ICCV 2023] RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers☆141Jan 10, 2024Updated 2 years ago
- ☆15Oct 20, 2025Updated 3 months ago
- [ECCV 2024] CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTs☆18Jul 2, 2024Updated last year
- A tool for model sparse based on torch.fx☆13Jun 3, 2024Updated last year
- Learning Motion and Temporal Cues for Unsupervised Video Object Segmentation[TNNLS2024]☆13May 6, 2025Updated 9 months ago
- [ICASSP'20] DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architecture…☆25Oct 1, 2022Updated 3 years ago
- Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)☆27Oct 3, 2023Updated 2 years ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆172Nov 26, 2025Updated 2 months ago
- HALO: Hadamard-Assisted Low-Precision Optimization and Training method for finetuning LLMs. 🚀 The official implementation of https://arx…☆29Feb 17, 2025Updated 11 months ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆50Oct 21, 2023Updated 2 years ago
- PyTorch implements `MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications` paper.☆16May 25, 2023Updated 2 years ago
- Official implementation of the ICLR 2024 paper AffineQuant☆28Mar 30, 2024Updated last year
- [ECCV 2024] SparseRefine: Sparse Refinement for Efficient High-Resolution Semantic Segmentation☆15Jan 10, 2025Updated last year
- Efficient GPU kernels for mixed-precision Vision Transformers in Triton☆17Sep 18, 2025Updated 4 months ago
- An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.☆14Feb 3, 2025Updated last year
- ☆169Mar 9, 2023Updated 2 years ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆123Jul 4, 2025Updated 7 months ago