[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

Efficient Deep Learning Systems course materials (HSE, YSDA)

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

Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)

📚 Collection of awesome generation acceleration resources.

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

[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.

📚 Collection of token-level model compression resources.

[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'.

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

[TMLR 2025] Efficient Diffusion Models: A Survey

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

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

📚 A curated list of Awesome Efficient dLLMs Papers with Codes

LauzHack Deep Learning Bootcamp

[CVPR 25] Official Implementation (Pytorch) of "EfficientViM: Efficient Vision Mamba with Hidden State Mixer-based State Space Duality"

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

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

[ICCV'25] The official code of paper "Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models"

[ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Diffenderfer, Jiancheng Liu, Konstantinos Parasyris, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu

Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight)

Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)

Denoising Diffusion Step-aware Models (ICLR2024)

Official Implementation of MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation (ECCV2024) (Oral)

A curated list of recent efficient video generation methods.

[IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.