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algorithms

Minimal examples of data structures and algorithms in Python

bostondataset_linearregressionmodel

Analysis of Boston data set – sklearn.linear_model.LinearRegression – fit, predict, score – StatsModels • (1) Find the best model with <= 3 predictors in terms of RMSE to predict medvin thewholeBoston data set • (2) Find the best mode with <= 3 predictors including log, square, cubic transformation in the whole data set 1

classification-trees

Decision tree, knn classifiers, random forest using python

ct-volume-preprocessing

End-to-end Python CT volume preprocessing pipeline to convert raw DICOMs into clean 3D numpy arrays for ML. From paper Draelos et al. "Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes."

data-analysis

Data Science Using Python

data-analytics-projects

:mag_right: Data analysis with real world data sets using Python :mag:

data-structures-using-python

This is my repository for Data Structures using Python

deeplearningpython35

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

iris_logisreg_lda_qda

libera

Programmable network virtualization for cloud datacenters

libnetwork

networking for containers

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

of-dpa

OpenFlow Data Plane Abstraction

onie

Open Network Install Environment

onos

Open Network Operating System

opennetworklinux

Open Network Linux - An Operating System for Bare Metal Switches

openvirtex

The OpenVirteX Virtualization Platform

pca_mnist-

To develop a handwritten digit (from MNIST dataset) recognition code using PCA and find the matching digit index (0 to 9) given a test input digit image

perfbench

portstats_onos

radio

RadIO is a library for data science research of computed tomography imaging

resamplingmethods_crossval.bootstrap

resources

Best resources to learn ML, DL, Aptitude, Probability, Statistics etc.

stella-openstack

This page is Stella-OpenStack page

stella_horizon

Stella_horizon extension repository for Stella Project.

stella_new

Stella integrated scheduler is a scheduling architecture for providing required performance to virtual machines running concurrently on a virtualized server. The integrated scheduler includes different types of resource scheduler in a physical server, CPU, block and Network I/O, to support diverse workload running on virtual machines with different characteristics (CPU-intensive or I/O-intensive).

svm-classification-and-regression-

(1) Read data08_khan.csv file. Use the first 63 samples as the training set, and the rest as the test set. The first column is the output variable (breast cancer grade), and the rest columns are input variables (gene expression). Using the support vector machine, classify cancer grades. What is your best performance? What is the corresponding kernel function and C? • (2)Using the support vector regression, regress cancer grades. What is your best performance? What is the corresponding kernel function and C? 1

udacity-predicting-boston-housing-prices

unet

unet for image segmentation

vn_fwd