1042 Open source projects that are alternatives of or similar to Medical Transformer

Summary of Transformer applications for computer vision tasks.

[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

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

Smart India Hackathon 2019 project given by the Department of Atomic Energy

MONAI Label is an intelligent open source image labeling and learning tool.

Transformer implemented in Keras

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

Segment Source Distribution

Medical image preprocessing and augmentation toolkit for deep learning

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

Attention mechanism

Medical Image Segmentation Toolkit based on PaddlePaddle - 基于paddle的医学影像分割框架

Medical image segmentation ( Eye vessel segmentation)

Prostate MR Image Segmentation 2012

CNN implementation for medical X-Ray image segmentation

Fine-grained Sentiment Analysis of User Reviews --- AI CHALLENGER 2018

Implementation of State-of-the-art Text Classification Models in Pytorch

Resurces for MRI images processing and deep learning in 3D

A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

list of efficient attention modules

Official and maintained implementation of the paper Attention-Based Transformers for Instance Segmentation of Cells in Microstructures [BIBM 2020].

Multi-platform, free open source software for visualization and image computing.

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Awesome GAN for Medical Imaging

An open-source neural machine translation system developed by Natural Language Processing Group, Nanjing University.

Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data

Predict materials properties using only the composition information!

A PyTorch Implementation of "Attention Is All You Need"

Brainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.

a collection of visualization function

NLP: Relation extraction with position-aware self-attention transformer

This is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".

nlp lecture-notes and source code

BertQA - Attention on Steroids

Semantic Aware Attention Based Deep Object Co-segmentation

Multi-platform, free open source software for visualization and image computing.

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

TensorFlow implementation of 'Attention Is All You Need (2017. 6)'

Open solution to the Data Science Bowl 2018

Skin lesion detection from dermoscopic images using Convolutional Neural Networks

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Framework for medical image segmentation using deep neural networks

Slicer extensions index

End-to-end ASR/LM implementation with PyTorch

Tensorflow implementation of the V-Net architecture for medical imaging segmentation.

Natural Language Processing Tutorial for Deep Learning Researchers

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

[ICCV 2021] TRAR: Routing the Attention Spans in Transformers for Visual Question Answering -- Official Implementation

Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning

Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

Multi-turn dialogue baselines written in PyTorch

Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection