Stars
This a repository collecting all metrics, algorithms and pieces of code related to data and model quality for Machine Learning, developed by me and others at the MUDI lab (https://www.mudilab.net/m…
Towards a general-purpose foundation model for computational pathology - Nature Medicine
[CVPR 2024] Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology
This is the official code repository for "MedMamba: Vision Mamba for Medical Image Classification"
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction - CVPR 2024
A simple tool used for normalize whole slide images, support macenko, reinhard, vahadane
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
A graph-transformer for whole slide image classification
EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
Official implementation of SAM-Med2D
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…
ChatReviewer: 使用ChatGPT分析论文优缺点，提出改进建议
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …
[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"
Non-official implement of Paper：CBAM: Convolutional Block Attention Module
DA-TransUNet: Combining Dual Attention of Position and Channel with Transformer U-net for Medical Image Segmentation
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Segment Anything in Medical Images
🤖 PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
Painter & SegGPT Series: Vision Foundation Models from BAAI