Efficient-ML / Awesome-Efficient-AIGCLinks
A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including language and vision, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
☆186Updated 5 months ago
Alternatives and similar repositories for Awesome-Efficient-AIGC
Users that are interested in Awesome-Efficient-AIGC are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆165Updated 10 months ago
- Code Repository of Evaluating Quantized Large Language Models☆129Updated 11 months ago
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆139Updated 2 years ago
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆103Updated 3 weeks ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆109Updated 4 months ago
- Awesome list for LLM pruning.☆246Updated 7 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆145Updated 2 months ago
- Awesome list for LLM quantization☆260Updated last month
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆125Updated 2 years ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆56Updated last week
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆151Updated 2 weeks ago
- A sparse attention kernel supporting mix sparse patterns☆262Updated 5 months ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆123Updated 2 years ago
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆32Updated 9 months ago
- Awasome Papers and Resources in Deep Neural Network Pruning with Source Code.☆161Updated 11 months ago
- Efficient Mixture of Experts for LLM Paper List☆87Updated 7 months ago
- This repository contains integer operators on GPUs for PyTorch.☆211Updated last year
- ☆23Updated 8 months ago
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆111Updated last week
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆50Updated 4 months ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆54Updated 11 months ago
- Curated list of methods that focuses on improving the efficiency of diffusion models☆45Updated last year
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆99Updated last year
- [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.☆353Updated last year
- This is a collection of our research on efficient AI, covering hardware-aware NAS and model compression.☆83Updated 9 months ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆46Updated last year
- PyTorch code for our paper "ARB-LLM: Alternating Refined Binarizations for Large Language Models"☆25Updated 4 months ago
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆56Updated last year
- [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models☆52Updated last month
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆72Updated 4 months ago