licancan0729

keras-mmoe

A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

frank

A bran-new League of Legends assistant software, a replacement for WeGame.

REmap

create a map by R

survivalmodels

Implementations of survival models in R

Simulations-SNNs-vs-Cox

This repository stores the R-code of a simulation study to compare survival neural networks (SNNs) with Cox models for clinical trial data. The predictive performance of ML techniques is compared with statistical models in a simple clinical setting (small/moderate sample size, small number of predictors) with Monte Carlo simulations. Synthetic data (250 or 1000 patients) are generated that closely resemble 5 prognostic factors pre-selected based on a European Osteosarcoma Intergroup study (MRC BO06/EORTC 80931). Comparison is performed between two partial logistic artificial neural networks (PLANN original by Biganzoli et al. 1998, Statistics in medicine, 17(10), 1169-1186 and PLANN extended by Kantidakis et al. 2020 BMC medical research methodology, 20(1), 1-14) as well as Cox models for 20, 40, 61, and 80% censoring. Survival times are generated from a log-normal distribution. Models are contrasted in terms of C-index, Brier score at 0-5 years, Integrated Brier Score (IBS) at 5 years, and miscalibration at 2 and 5 years. Endpoint of interest is overall survival. Note: PLANN original/extended are tuned based on IBS at 5 years and C-index.

RF-multi-class-classification

Machine-Learning-Notes

周志华《机器学习》手推笔记

Python-Machine-Learning

Tutorials on Machine Learning and Deep Learning with Python

tslearn

The machine learning toolkit for time series analysis in Python

key-book

《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。

Hands-on-Machine-Learning

A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

mindware

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

Statistical-Learning-Method_Code

手写实现李航《统计学习方法》书中全部算法

covid19_critically_ill

Trained model and inference code for early triage of critically-ill COVID-19 patients.

CensoringDL

TFDeepSurv

COX Proportional risk model and survival analysis implemented by tensorflow.

deepo

Setup and customize deep learning environment in seconds.

DeepSurv

DeepSurv is a deep learning approach to survival analysis.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Tips-of-Feature-engineering

A feature engineering kit for each issue, to give you a deeper and deeper understanding of the work of feature engineering!

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

team-learning

主要展示Datawhale的组队学习计划。

Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

streamlit

Streamlit — A faster way to build and share data apps.

awesome-machine-learning

Learning Resources And Links Of Machine Learning（updating）

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

pumpkin-book

《机器学习》（西瓜书）公式详解

ChromeAppHeroes

🌈谷粒-Chrome插件英雄榜, 为优秀的Chrome插件写一本中文说明书, 让Chrome插件英雄们造福人类~ ChromePluginHeroes, Write a Chinese manual for the excellent Chrome plugin, let the Chrome plugin heroes benefit the human~ 公众号「0加1」同步更新

stylegan2

StyleGAN2 - Official TensorFlow Implementation

feature-engineering-handbook

A practical feature engineering handbook