kkgadiraju

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

M3Fusion

My implementation of the paper M3Fusion

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

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

kkgadiraju/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

kkgadiraju/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

kkgadiraju/SAT-Classification-Using-CNN

Classifying SAT-6 data using a CNN

kkgadiraju/BayesianModelAveraging

Multi-temporal classification using Bayesian Model Averaging (BMA)

kkgadiraju/M3Fusion

My implementation of the paper M3Fusion

kkgadiraju/remote-sensing-training-data-generation-scripts

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

kkgadiraju/bigstate.github.io

Web site for the NcState Business Intelligence Group

kkgadiraju/BreakoutDetection

Breakout Detection via Robust E-Statistics

kkgadiraju/chanvese

Chan-Vese level-sets in Python

kkgadiraju/climate-anomaly-detection

Detect anomalies in gridded climate data

kkgadiraju/courses

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

kkgadiraju/cuda-sample

CUDA official sample codes

kkgadiraju/datasciencecoursera

Repo for Data Science courses on coursera

kkgadiraju/datasharing

The Leek group guide to data sharing

kkgadiraju/face_recognition

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

kkgadiraju/gala

Automatic segmentation of electron microscopy volumes

kkgadiraju/Gaussian-Processes-on-GPU

Gaussian process regression on GPU using CUDA & cuBLAS

kkgadiraju/keras

Deep Learning for humans

kkgadiraju/kkgadiraju.github.io

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

kkgadiraju/landlab

Landlab codebase, wiki, and tests

kkgadiraju/matlab

A collection of MATLAB scripts

kkgadiraju/morphsnakes

Morphological snakes for image segmentation and tracking

kkgadiraju/ProgrammingAssignment2

Repository for Programming Assignment 2 for R Programming on Coursera

kkgadiraju/pyGPs

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

kkgadiraju/sstdm22

ICDM/SSTDM 2022

kkgadiraju/Streaming-Data-Sentiment-Analysis

kkgadiraju/tensorflow

Computation using data flow graphs for scalable machine learning

kkgadiraju/UrbanClassification