hrcheng1066 / awesome-pruningLinks
☆277Updated last year
Alternatives and similar repositories for awesome-pruning
Users that are interested in awesome-pruning are comparing it to the libraries listed below
Sorting:
- Awesome Pruning. ✅ Curated Resources for Neural Network Pruning.☆168Updated last year
- List of papers related to neural network quantization in recent AI conferences and journals.☆731Updated 6 months ago
- ☆17Updated last year
- Awesome list for LLM pruning.☆264Updated this week
- [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer☆350Updated 2 years ago
- Post-Training Quantization for Vision transformers.☆228Updated 3 years ago
- A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including languag…☆193Updated 8 months ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆125Updated 2 weeks ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆128Updated 2 years ago
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆123Updated 2 months ago
- OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM☆309Updated last year
- A curated list of early exiting (LLM, CV, NLP, etc)☆64Updated last year
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆133Updated 3 years ago
- [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers☆192Updated 2 years ago
- The official PyTorch implementation of CHEX: CHannel EXploration for CNN Model Compression (CVPR 2022). Paper is available at https://ope…☆38Updated 3 years ago
- List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.☆94Updated last year
- ☆12Updated 2 years ago
- All Homeworks for TinyML and Efficient Deep Learning Computing 6.5940 • Fall • 2023 • https://efficientml.ai☆182Updated last year
- ☆51Updated last year
- Harmonic-NAS: Hardware-Aware Multimodal Neural Architecture Search on Resource-constrained Devices (ACML 2023)☆16Updated last year
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆171Updated last year
- Pytorch implementation of BRECQ, ICLR 2021☆283Updated 4 years ago
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆97Updated 2 years ago
- ☆22Updated last year
- Awesome list for LLM quantization☆314Updated this week
- EQ-Net [ICCV 2023]☆30Updated 2 years ago
- Unofficial implementation of LSQ-Net, a neural network quantization framework☆302Updated last year
- Github Repo for OATS: Outlier-Aware Pruning through Sparse and Low Rank Decomposition☆15Updated 5 months ago
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆55Updated last year
- Code for CHIP: CHannel Independence-based Pruning for Compact Neural Networks (NeruIPS 2021).☆39Updated 3 years ago