efficient-deep-learning

[CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.

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 (papers, repositories) that are missed by the repo.

[TMLR 2024] Efficient Large Language Models: A Survey

Collection of recent methods on (deep) neural network compression and acceleration.

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

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.

[IEEE TPAMI] Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning

[NeurIPS2022] Official implementation of the paper 'Green Hierarchical Vision Transformer for Masked Image Modeling'.

[CVPR 2024] Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis

Official implementation of "EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS"

📚 Collection of token-level model compression resources.

[NeurIPS 2021] Official codes for "Efficient Training of Visual Transformers with Small Datasets".

a curated list of high-quality papers on resource-efficient LLMs 🌱

LauzHack Deep Learning Bootcamp

The best collection of AI tutorials to make you a boss of Data Science!

[TMLR 2025] Efficient Diffusion Models: A Survey

[ICLR 2022] Data-Efficient Graph Grammar Learning for Molecular Generation