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2022-machine-learning-specialization

3d-image-classification-tutorial

[Keras Docs] Train a 3D convolutional neural network (CNN) to predict presence of pneumonia from CT scans.

500lines

500 Lines or Less

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, ... 🧠

awesome-image-classification

A curated list of deep learning image classification papers and codes

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

cifar10-tensorflow

cifar10数据集上进行图片分类，基于tensorflow框架，旨在探究不同的改进策略对分类准确率的影响，如何一步步得提高准确率

coursera-ml-andrewng-notes

https://github.com/fengdu78/Coursera-ML-AndrewNg-Notes.git

datasciencepython

common data analysis and machine learning tasks using python

deep-learning-papers-translation

深度学习论文翻译，包括分类论文，检测论文等

egsnrc

EGSnrc toolkit for Monte Carlo simulation of ionizing radiation transport

hk

First

lung-segmentation

Lung Segmentation on RSNA Pneumonia Detection Dataset

lungmask

Automated lung segmentation in CT

lungtumormask

Automatic end-to-end lung tumor segmentation from CT images.

mechine-learning-in-action

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

n2-prediction

nac_prediction

This code is for our study in "Pretreatment DCE-MRI-based deep learning outperforms radiomics analysis in predicting pathologic complete response to neoadjuvant therapy in breast cancer"

python-guide

Python best practices guidebook, written for humans.

pytorch-medical-classification

This repository is an unoffical PyTorch implementation of Medical classification in 2D and 3D.

radiomics-features-extractor

Hand-crafted radiomics and deep learning-based radiomcis features extraction.

resnet

ResNET for classification and making comparison with Radiomics