Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)
☆73Oct 7, 2021Updated 4 years ago
Alternatives and similar repositories for QTool
Users that are interested in QTool are comparing it to the libraries listed below
Sorting:
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆45Aug 19, 2021Updated 4 years ago
- This is the official PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".☆44Nov 25, 2021Updated 4 years ago
- [ICCV 2021] Official implementation of "Scalable Vision Transformers with Hierarchical Pooling"☆33Dec 30, 2021Updated 4 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
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆23Mar 29, 2024Updated last year
- This is the official PyTorch implementation for "Mesa: A Memory-saving Training Framework for Transformers".☆120Dec 12, 2021Updated 4 years ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆31Mar 12, 2024Updated last year
- official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)☆55Jul 23, 2023Updated 2 years ago
- ☆18Oct 4, 2022Updated 3 years ago
- An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.☆94Jul 14, 2023Updated 2 years ago
- BitSplit Post-trining Quantization☆50Dec 20, 2021Updated 4 years ago
- ☆14Oct 24, 2022Updated 3 years ago
- ☆45Jul 14, 2021Updated 4 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆16Jan 16, 2020Updated 6 years ago
- Structured Binary Neural Networks for Image Recognition☆18Nov 18, 2021Updated 4 years ago
- This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…☆24Aug 17, 2021Updated 4 years ago
- [AAAI 2022] This is the official PyTorch implementation of "Less is More: Pay Less Attention in Vision Transformers"☆97Jun 19, 2022Updated 3 years ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆39Mar 11, 2024Updated last year
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆139Nov 19, 2020Updated 5 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Jun 10, 2021Updated 4 years 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 implementation of "Deep Transferring Quantization" (ECCV2020)☆18Jun 22, 2022Updated 3 years ago
- The official implementation of BiViT: Extremely Compressed Binary Vision Transformers☆16Jun 18, 2023Updated 2 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54May 8, 2020Updated 5 years ago
- Unofficial implementation of LSQ-Net, a neural network quantization framework☆310May 8, 2024Updated last year
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆56Mar 4, 2024Updated last year
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆138Apr 28, 2022Updated 3 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 5 years ago
- Training Quantized Neural Networks with a Full-precision Auxiliary Module☆13Jun 19, 2020Updated 5 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆281Dec 8, 2023Updated 2 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆283Dec 11, 2024Updated last year
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆22Nov 15, 2020Updated 5 years ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆39Oct 3, 2023Updated 2 years ago
- BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.☆58Feb 7, 2023Updated 3 years ago
- Example for applying Gaussian and Laplace clipping on activations of CNN.☆34Jan 20, 2019Updated 7 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆30Feb 19, 2019Updated 7 years ago
- Unofficial Scalable-Softmax Is Superior for Attention☆20May 30, 2025Updated 9 months ago
- Inference-based time-resolved whole-brain imaging☆14Apr 16, 2024Updated last year
- Neural Network Quantization With Fractional Bit-widths☆11Feb 19, 2021Updated 5 years ago