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CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and rela…
Official repo for SwiFT: Swin 4D fMRI Transformer
Implementations of recent research prototypes/demonstrations using MONAI.
中文医学NLP公开资源整理：术语集/语料库/词向量/预训练模型/知识图谱/命名实体识别/QA/信息抽取/模型/论文/etc
Repo for BenTsao [original name: HuaTuo (华驼)], Instruction-tuning Large Language Models with Chinese Medical Knowledge. 本草（原名：华驼）模型仓库，基于中文医学知识的大语言模型指令微调
✨✨Latest Advances on Multimodal Large Language Models
GLoRIA: A Multimodal Global-Local Representation Learning Framework forLabel-efficient Medical Image Recognition
ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
[TNNLS] A Comprehensive Survey of Awesome Visual Transformer Literatures.
[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.
IJCAI2020 & IJCV2021 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo
[IEEE TMI'22] DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images
A framework for data augmentation for 2D and 3D image classification and segmentation
Recent weakly supervised semantic segmentation paper
Pytorch implementation of Center Loss
Pytorch implementation for Semantic Segmentation with multi models (Deeplabv3, Deeplabv3_plus, PSPNet, UNet, UNet_AutoEncoder, UNet_nested, R2AttUNet, AttentionUNet, RecurrentUNet,, SEGNet, CENet, …
[IEEE TMI] Official Implementation for UNet++
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Image-to-Image Translation in PyTorch