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Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Dimensionality Reduction- Kerneled PCA performed on Logistic Regression model for Non-Linear Dataset.
Includes most of the contents related to Machine learning like Numpy, Pandas, Matplotlib, Linear Regression, MultiVariable Regression, Gradient Descent, Feature Scaling, Logistic Regression, Classification Measures, Decision Trees, Random Forests, Naive Bayes, KNN, SVM, PCA, NLP, Neural Networks and various projects on Gradient Descent, Logistic Regression, Decision Tree, Text Classification, etc...
Multiple-Instance Support Vector Machines
minimum Redundancy Maximum Relevance
radiomics
Pytorch implementation of Octave convolution
Perform radiomics-oriented learning using PET, CT, or MRI images
php
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Image Feature Extraction and Classification Using Python
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks.
A Variational Autoencoder (VAE) implemented in PyTorch
Folder corresponding to 2017 summer project at MD Anderson Cancer Center.
MATLAB programming tools for radiomics analysis
A toolkit for the calculation of radiomics features in R.
一个得到肺结节数据的小工具
A repository to develop code for IBSI compliant radiomics applications
circRNA ReAlign Inner Splice and Expression detection
A Random Forest implementation for MATLAB. Supports arbitrary weak learners that you can define.
Python package for analysing data using machine learning techniques. Provides implementations of different kinds of decision trees and random forests in order to solve classification problems.
Survival analysis built on top of scikit-learn
Similar Image Extraction using Colour, Texture and Edge Features by using Local Binary Pattern and Canny Edge Feature
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.