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Scaling Vision Pre-Training to 4K Resolution
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
The official GitHub page for the survey paper "A Survey of Large Language Models".
An Efficient Enterprise-class Container Engine
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
Let us democratise high-resolution generation! (CVPR 2024)
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
This is a collection of our NAS and Vision Transformer work.
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024