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Seqmon is a web application built on Plotly Dash designed to monitor sequencing runs across multiple sequencers and analyze the statistics of demultiplexing processes.
Medical Imaging Deep Learning library to train and deploy 3D segmentation models on Azure Machine Learning
Medical-domain Dialogue System for Diseases Identification
This is a medical bot built using Llama2 and Sentence Transformers. The bot is powered by Langchain and Chainlit. The bot runs on a decent CPU machine with a minimum of 16GB of RAM.
Python tools for healthcare machine learning
Flops counter for neural networks in pytorch framework
PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers
Swin Unet V2 is a modified version of Swin Unet based on Swin Transfomer V2.
This repo holds the code of TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
[AAAI' 25] U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation
Implementation of Segformer, Attention + MLP neural network for segmentation, in Pytorch
SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
(ACM TOMM) This is the official code repository for "VM-UNet: Vision Mamba UNet for Medical Image Segmentation".
Development repository for the Triton language and compiler
This is the official code repository for "MedMamba: Vision Mamba for Medical Image Classification"
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Collection of awesome medical dataset resources.
The official repository of the 2021 Kidney and Kidney Tumor Segmentation Challenge
🤖 PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch