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SUN YAT-SEN University
- Guangzhou
- https://quinn777.github.io/
Stars
Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
Official implementation of OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion
Official code for paper: Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language
Image Textualization: An Automatic Framework for Generating Rich and Detailed Image Descriptions (NeurIPS 2024)
Accelerating the development of large multimodal models (LMMs) with one-click evaluation module - lmms-eval.
moonsliu / AvatarCLIP
Forked from hongfz16/AvatarCLIP[SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars
Plan, Posture and Go: Towards Open-World Text-to-Motion Generation
A PyTorch implementation of center loss on MNIST
HistoQC is an open-source quality control tool for digital pathology slides
Library for Digital Pathology Image Processing
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
3D residual neural network that predicts age based on brain MRI images (implemented using TensorFlow 2).
Preprocessing of the images for the images-based models (e.g X-ray images).
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
Distributionally robust neural networks for group shifts
1st place solution for the Kaggle PANDA Challenge
PyTorch Implementation of Robust Classification with Convolutional Prototype Learning
PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984
[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification)
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
DomainBed is a suite to test domain generalization algorithms
MLNLP社区用来帮助缩短参考文献的工具。A tool for simplifying bibtex with official info
Exploiting Class Activation Value for Partial-Label Learning, ICLR 2022 (poster)