[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
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Updated
May 18, 2024 - Python
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
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.
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
[ICLR 2022] Data-Efficient Graph Grammar Learning for Molecular Generation
NeurIPS 2021, Official codes for "Efficient Training of Visual Transformers with Small Datasets".
Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)
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.
The best collection of AI tutorials to make you a boss of Data Science!
Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight)
[NeurIPS 2023] Structural Pruning for Diffusion Models
[ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.
This repository provides implementation of a baseline method and our proposed methods for efficient Skeleton-based Human Action Recognition.
[NeurIPS2022] Official implementation of the paper 'Green Hierarchical Vision Transformer for Masked Image Modeling'.
Pytorch implementation for stereo matching described in the paper: Efficient Deep learning for stereo matching
Efficient Deep Learning for Stereo Matching Tensorflow 2.x
Frame Flexible Network (CVPR2023)
[ICML 2023] Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction
[NeurIPS 2019 Google MicroNet Challenge] MSUNet is an efficient model that won the 4th place in the Google MicroNet Challenge CIFAR-100 Track hosted at NeurIPS 2019 designed by Yu Zheng, Shen Yan, Mi Zhang
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