☆244Nov 9, 2022Updated 3 years ago
Alternatives and similar repositories for NM-sparsity
Users that are interested in NM-sparsity are comparing it to the libraries listed below
Sorting:
- ☆19Dec 10, 2021Updated 4 years ago
- Pytorch implementation of our paper accepted by NeurIPS 2022 -- Learning Best Combination for Efficient N:M Sparsity☆22Jan 13, 2023Updated 3 years ago
- Code for ICML 2021 submission☆35Mar 24, 2021Updated 4 years ago
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆872Aug 20, 2024Updated last year
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆22Nov 15, 2020Updated 5 years ago
- Domain-Specific Architecture Generator 2☆22Oct 2, 2022Updated 3 years ago
- ☆30Nov 23, 2023Updated 2 years ago
- Code for "Accelerating Transformer Pre-training with 2:4 Sparsity"☆27Dec 8, 2024Updated last year
- TQT's pytorch implementation.☆21Dec 17, 2021Updated 4 years ago
- ☆28Oct 21, 2020Updated 5 years ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆453May 15, 2023Updated 2 years ago
- Pytorch implementation of our paper accepted by ICML 2023 -- "Bi-directional Masks for Efficient N:M Sparse Training"☆13Jun 7, 2023Updated 2 years ago
- Official PyTorch implementation of CD-MOE☆12Mar 29, 2025Updated 11 months ago
- Post-training sparsity-aware quantization☆34Feb 26, 2023Updated 3 years ago
- An implementation of <Group Fisher Pruning for Practical Network Compression> based on pytorch and mmcv☆18Nov 21, 2021Updated 4 years ago
- SparseTIR: Sparse Tensor Compiler for Deep Learning☆143Mar 31, 2023Updated 2 years ago
- To appear in the 11th International Conference on Learning Representations (ICLR 2023).☆18Feb 24, 2023Updated 3 years ago
- Reorder-based post-training quantization for large language model☆199May 17, 2023Updated 2 years ago
- Efficient 2:4 sparse training algorithms and implementations☆59Dec 8, 2024Updated last year
- Code for "Fast Sparse ConvNets" CVPR2020 submissions☆12Nov 20, 2019Updated 6 years ago
- An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.☆14Feb 3, 2025Updated last year
- ☆10Feb 1, 2022Updated 4 years ago
- Artifact for IPDPS'21: DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions.☆13Apr 6, 2021Updated 4 years ago
- SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs☆60Mar 25, 2025Updated 11 months ago
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆138Apr 28, 2022Updated 3 years ago
- ☆72Feb 16, 2023Updated 3 years ago
- This repo contains the code for studying the interplay between quantization and sparsity methods☆26Feb 26, 2025Updated last year
- ☆116Nov 17, 2023Updated 2 years ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆129Jul 11, 2023Updated 2 years ago
- Implementation of "NITI: Training Integer Neural Networks Using Integer-only Arithmetic" on arxiv☆90Jul 26, 2022Updated 3 years ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,612Jul 12, 2024Updated last year
- The code for Joint Neural Architecture Search and Quantization☆14Apr 10, 2019Updated 6 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆281Dec 8, 2023Updated 2 years ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆81Jul 7, 2025Updated 8 months ago
- ☆659Jan 13, 2021Updated 5 years ago
- [HPCA 2023] ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design☆128Jun 27, 2023Updated 2 years ago
- Model Quantization Benchmark☆858Apr 20, 2025Updated 10 months ago
- A pytorch implementation of DoReFa-Net☆132Dec 26, 2019Updated 6 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆139Nov 19, 2020Updated 5 years ago