guangzhaohui

EC-paper

This repository contains all python source code files to demonstrate how to conduct the machine learning described in the paper entitled "Machine Learning-Based Radiomics Analysis for Differentiation Degree and Lymphatic Node Metastasis of Extrahepatic Cholangiocarcinoma".

gpt-LLMmed

Large Language Models Streamline Automated Machine Learning for Clinical Studies

Auto-ML

Auto-ML python code for radiomics analysis

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

CaPTk

Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk

GBM-Radiogenomics

Identifying pathways underpinning prognostic radiomics in GBM

HCC-Radiomics2022

LGG-1p-19q-deletion

LGG-radiomics

lppls

Library for fitting the LPPLS model to data.

MelaRadiomics

Scripts to compute the radiomics features and fit the machine learning models as presented in the paper "The BRAF P.V600E Mutation Status of Melanoma Lung Metastases Cannot Be Discriminated on Computed Tomography by LIDC Criteria nor Radiomics Using Machine Learning." by L. Angus and M. P. A. Starmans et al. 2021.

MesentericRadiomics

Scripts to compute the features and fit radiomics models as used in the paper: Blazevic, A., Starmans, M. P. A., Brabander, T., Dwarkasingh, R., van Gils, R., Hofland, J., Franssen, G. J., Feelders, R. A., Niessen, W. J., Klein, S., & de Herder, W. W. (2021). Predicting symptomatic mesenteric mass in neuroendocrine tumors using radiomics, Endocrine-Related Cancer, ERC-21-0064.

PABLO

Publicly Available Brain image anaLysis tOol kit

pyfolio

Portfolio and risk analytics in Python

PythonMLProject

Machine Learning Model: classifying malignant vs benign brain tumors

qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.

quant-trading

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

quantstats

Portfolio analytics for quants, written in Python

RadAR

A tool to perform comprehensive analysis of high-dimensional radiomic datasets

Radiomics-2

Codes for Radiomics/Radiogenomics Analysis

Radiomics-research-by-using-Python

Radiomics (here mainly means hand-crafted based radiomics) contains data acquire, ROI segmentation, feature extraction, feature selection, machine learning modeling, and stastical analysis.

RadioML

RSS---R

Scripts for establishing replication stress signature

Stock-Prediction-and-Quantitative-Analysis-Based-on-Machine-Learning-Method

This project studies the intrinsic relationship between the stocks’ multiple factors and the investment value of the stocks listed in China Securities Index 800 Index through the machine method. The investment system pipeline has been implemented including data acquirement, data preprocessing, model tuning and selection based on the XGBoost boosted tree model.

Tutorials

Deep Learning and Machine Learning Tutorials for Beginners using Medical Image

WORCDatabase

Code to reproduce the experiments as described in the paper "Reproducible radiomics through automated machine learning validated on twelve clinical applications", Starmans et al. 2021, In Preparation

WORCTutorial

Tutorial for the WORC Package

yfinance

Yahoo! Finance market data downloader (+faster Pandas Datareader)

youtube-dl

Command-line program to download videos from YouTube.com and other video sites

ZeroNet

ZeroNet - Decentralized websites using Bitcoin crypto and BitTorrent network