kkgadiraju Goto Github PK

bayesianmodelaveraging

Multi-temporal classification using Bayesian Model Averaging (BMA)

bigstate.github.io

Web site for the NcState Business Intelligence Group

breakoutdetection

Breakout Detection via Robust E-Statistics

chanvese

Chan-Vese level-sets in Python

climate-anomaly-detection

Detect anomalies in gridded climate data

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cuda-sample

CUDA official sample codes

datasciencecoursera

Repo for Data Science courses on coursera

datasharing

The Leek group guide to data sharing

face_recognition

The world's simplest facial recognition api for Python and the command line

gala

Automatic segmentation of electron microscopy volumes

gaussian-processes-on-gpu

Gaussian process regression on GPU using CUDA & cuBLAS

keras

Deep Learning for humans

kkgadiraju.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

landlab

Landlab codebase, wiki, and tests

m3fusion

My implementation of the paper M3Fusion

matlab

A collection of MATLAB scripts

morphsnakes

Morphological snakes for image segmentation and tracking

multi-modal-crop-classification

Code for the paper Multi Modal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery published in KDD Applied Data Science Track 2020

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pygps

pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.

remote-sensing-training-data-generation-scripts

Some simple python scripts for generating data for remote sensing purpose.

sat-classification-using-cnn

Classifying SAT-6 data using a CNN

satelliteimageclassification

Pixel based classification of satellite imagery - feature generation using Orfeo Toolbox, feature selection using Learning Vector Quantization, CLassification using Decision Tree, Neural Networks, Random Forests, KNN and Naive Bayes Classifier

sstdm22

ICDM/SSTDM 2022

streaming-data-sentiment-analysis

tensorflow

Computation using data flow graphs for scalable machine learning

urbanclassification