sunilvasu Goto Github PK

aerospike-server

Aerospike Database Server – flash-optimized, in-memory, nosql database

algorithms_and_models_for_data_analysis_learning_prediction

ALGORITHMS AND MODELS FOR DATA ANALYSIS, LEARNING AND PREDICTION - CSE587 Data Intensive Computing project. Analysis, Learning, Prediction using linear regression, k-nearest neighbors, k-means. Pew Data is used for analysis.

amazon-dynamo

Replicated Key-Value Storage

apex-utils

book-summary

bst_using_ooad

Designed basic BST operation using OOAD approach.

capnet

Analyzing​ ​ the​ ​ performance​ ​ of​ ​ Capsule Neural​ ​ Networks​ ​ (Capsnet)

circle-hough-transform

Implementation of Circle Hough Transform without using inbuilt function in Python using openCV.

classification-and-regression

Classification and Regression

classification-and-regression2

CSE474-574_ML_PA2_Classification and Regression

ctci

Cracking the coding Interview Solutions

datacleaning_datamunging

DATA CLEANING AND MUNGING - CSE587 Data Intensive Computing project on data cleaning and munging using R programming language. The data used are pew Data.

dataflow_for_bigdata_analytics_apachespark

PROGRAMMING THE DATAFLOW FOR BIG DATA ANALYTICS USING APACHE SPARK- The hands-on practical learning components of the course comprises two types of activities: labs covering one or two knowledge units (skills, competencies) of data-intensive computing and a single term project serving as a capstone covering the entire data pipeline. In the first half of the course we learned data analytics and quantitative reasoning using R language. In the second half we focused on big data approaches for data analytics with Hadoop MapReduce and Apache Spark. In this lab, we will work on understanding concepts related to data analysis using Apache Spark.

diabeticretinopathy

Diabetic​ ​ Retinopathy​ ​ Detection

ecommercesystem

An Object Oriented approach to eCommerce Plathform development is coded here. The eCommerce platform is made using the Object Oriented Design approach

edgedetection

Edge Detection by Zero-crossing, DoG and LoG – Python Programming

foodclassification

Deep ConvNet application on Grocery Item classification

fouriertransform

Fourier Transform on a given Image without using inbuilt functions.

genomics_and_biotechnology

CSE701_Seminar_Genomics_and_BioTechnology - Course work for the seminar on Genomics and Bio-Technology in Spring 2017

group-messenger

CSE 486/586 Distributed Systems Programming Assignment 2, Part A Group Messenger with a Local Persistent Key-Value Table. Design a group messenger that can send message to multiple AVDs and store them in a permanent key-value storage.

group-messenger-with-total-and-fifo-ordering

Group Messenger with Total and FIFO Ordering Guarantees.

hadoop_mapreduce

LARGE SCALE DATA (TEXT ) PROCESSING WITH HADOOP MAP REDUCE - exploring approaches that deal with big data, especially text data, using the Google’s MapReduce algorithm. The Map Reduce is run on a virtual box. MapReduce coded in Java.

handwritten-digits-classification

CSE474/574_ML_PA1_Handwritten Digits Classification

imagesegementation

Image Segementation achieved by crack edge data structure.

java2

Java interview problems

java_codes

jwt

Apex implementation of JWT and JWT Bearer flow

laplacianpyramid

Laplacian Pyramid in python using openCV. No inbuilt functions used.

learning-notes

Notes on books I read, talks I watch, articles I study, and papers I love

machine-learning-links-and-lessons-learned

List of all the lessons learned, best practices, and links from my time studying machine learning