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3d-unet-pytorch

implementation of 3DUNet by PyTorch 1.0

3dunet-pytorch

3DUNet implemented with pytorch

3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

ai-assisted-annotation-client

Client side integration example source code and libraries for AI-Assisted Annotation SDK

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deepsurv

DeepSurv is a deep learning approach to survival analysis.

deepsurv.pytorch

dsb2017

Code for 2nd place solution to the 2017 National Data Science Bowl

image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

kaggle_ndsb2017

Kaggle datascience bowl 2017

kkndme_tianya

天涯 kkndme 神贴聊房价

machinelearning_python

机器学习算法python实现

medicalnet

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 relative code.

mrnet

PyTorch implementation of the MRNet paper, developed for the MRNet Competition hosted by the Stanford ML Group

mrnet-1

Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)

mrnet-competition

My implementation for the MRNet competition hosted by the Stanford ML group

my-tensorflow-tutorials

This repo contains all of my TensorFlow tutorials

niftynet

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

pynrrd

Simple pure-python module for reading and writing nrrd files.

pyradiomics

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks.

python-100-days

Python - 100天从新手到大师

scikit-radiomics

scikit-radiomics’s documentation!

svm

Learn to use Support Vector Machines in Python(sklearn) and R

tensor_mnist

tensor learn

tensorflow

Computation using data flow graphs for scalable machine learning

u-net-segmentation

vesselvio

VesselVio is an open-source application designed for the analysis and visualization of segmented vasculature datasets

xrayimage_extractfeatures

Extract GLCM, Region Properties, and Moments related features in a line of code and then get those into a data-frame.

xxc