#大语言模型#[CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.
#计算机科学#A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (pape...
[TMLR 2024] Efficient Large Language Models: A Survey
#计算机科学#Collection of recent methods on (deep) neural network compression and acceleration.
#计算机科学#Efficient Deep Learning Systems course materials (HSE, YSDA)
Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)
📚 Collection of awesome generation acceleration resources.
[NeurIPS 2023] Structural Pruning for Diffusion Models
#大语言模型#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. Welcom...
[CVPR 2024] Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis
[NeurIPS2022] Official implementation of the paper 'Green Hierarchical Vision Transformer for Masked Image Modeling'.
[IEEE TPAMI] Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning
Official implementation of "EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS"
[NeurIPS 2021] Official codes for "Efficient Training of Visual Transformers with Small Datasets".
📚 Collection of token-level model compression resources.
#计算机科学#a curated list of high-quality papers on resource-efficient LLMs 🌱
#自然语言处理#The best collection of AI tutorials to make you a boss of Data Science!
#自然语言处理#LauzHack Deep Learning Bootcamp
[ICLR 2022] Data-Efficient Graph Grammar Learning for Molecular Generation
[TMLR 2025] Efficient Diffusion Models: A Survey