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incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

java

java1

kernelpca-logisticregression

Dimensionality Reduction- Kerneled PCA performed on Logistic Regression model for Non-Linear Dataset.

machine-learning

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...

misvm

Multiple-Instance Support Vector Machines

mrmr

minimum Redundancy Maximum Relevance

mrmr-1

npc-radiomics

radiomics

octaveconv_pytorch

Pytorch implementation of Octave convolution

petctomics

Perform radiomics-oriented learning using PET, CT, or MRI images

php

php

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

pyimageclassification

Image Feature Extraction and Classification Using Python

pyradiomics

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks.

pytorch-vae

A Variational Autoencoder (VAE) implemented in PyTorch

qin-prostate-repeatability-radiomics

radiomic-prediction-of-tumor-grade-and-overall-survival-from-the-brats-glioma-dataset

Folder corresponding to 2017 summer project at MD Anderson Cancer Center.

radiomics

MATLAB programming tools for radiomics analysis

radiomics-1

A toolkit for the calculation of radiomics features in R.

radiomics-2

一个得到肺结节数据的小工具

radiomics-develop

A repository to develop code for IBSI compliant radiomics applications

raise

circRNA ReAlign Inner Splice and Expression detection

random-forest-matlab

A Random Forest implementation for MATLAB. Supports arbitrary weak learners that you can define.

randomforest-machinelearning

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.

scikit-survival

Survival analysis built on top of scikit-learn

similar-image-extraction-using-colour-texture-and-edge-features

Similar Image Extraction using Colour, Texture and Edge Features by using Local Binary Pattern and Canny Edge Feature

survival-analysis-using-deep-learning

This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis

torch-light

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

vue3