kaixinhuaihuai Goto Github PK

lidc_nodule_detection

lidc nodule detection with CNN and LSTM network

lifelines

Survival analysis in Python

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

lihang-code

lihang-code-1

《统计学习方法》的代码实现

lstm-crf

A (CNN+)RNN(LSTM/BiLSTM)+CRF model for sequence labelling.:smirk:

lung-cancer-detection-using-3d-cnn

This project aims to construct a photo-realistic version of hand-drawn sketches of human faces using Deep Convolutional Neural Networks, using the CelebA dataset varying extensively in terms of pose, occlusion, illumination and background clutter. - TensorFlow library used to train CNN and OpenCV used for preprocessing and filtering data.

lungct

Segmentation and Analysis of Lung CT scans

lungnet

Predicting overall survival for lung cancer patients using deep learning on lung CTs

lungseg-vip2018

Pipeline for Lung Segmentation on the NSCLC Radiomics Dataset as part of the IEEE VIP 2018 Challenge

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

machine-learning-by-python

利用python实现经典机器学习算法， 本人初探此领域，如有错误，请多多包涵并指出。

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

machine-learning-notes

machine-learning-notes-1

周志华《机器学习》手推笔记

machine_learning

machine_learning_beginner

machine_learning_beginner-1

机器学习初学者公众号作品

machinelearning

Basic Machine Learning and Deep Learning

machinelearning-1

Machine learning resources，including algorithm, paper, dataset, example and so on.

maml-keras

Using keras and tf build MAML

mdnnmd

An implementation of multimodal deep neural network, a new model for human breast cancer prognosis prediction.

mds-expression

R code for Combining gene mutation with gene expression data improves outcome prediction in myelodysplastic syndromes

medical-diagnosis-using-deep-learning

Detect Pneumonia from x-ray images using fine-tuned VGG-16

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.

medicaltreat_diabetes

天池精准医疗大赛——人工智能辅助糖尿病遗传风险预测

medium_notebook

Repository containing notebooks of my posts on Medium

medmnist

MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

melanomatranscriptomics