Pinned Repositories
airflow-development-kit
AlgoDS
beam
Apache Beam
Classification
This is Berkeley Project in Artificial Intelligence to classify using Perceptron, MIRA. Please visit the CS Berkeley site for AI for in detailed explanation of the project
D3conceptmap
DataVisualisation-Java_SO
Visualizing Stack Overflow data of students learning JAVA. This project was aimed to analyze data and visualize the data in an efficient way
DeVISE-
This project is based on Pattern Recognition and Machine Learning. The paper followed for this project was DeVISE written by authors at google. This project needs an extensive GPU support to train the model.http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/41473.pdf.
Image-Stitching
The main aim of this Computer Vision project was to extract local features from images. Use Harris corner detector to find the features. Use SIFT descriptors and Match feature Descriptors between two images. Perform Homography using RANSAC. Finally wrap and stitch the image.
JavaRecommender
Search Engine that recommends Java content of StackOverflow to users.Used Scrapy and Jsoup to crawl the internet. Used Apache lucene to index. And used MVC and servlet for web-app
operator-tutorial
Create a simple operator for Kubernetes using Go
Akshay-Iyangar's Repositories
Akshay-Iyangar/system-design
High-level system design and object-oriented design
Akshay-Iyangar/Image-Stitching
The main aim of this Computer Vision project was to extract local features from images. Use Harris corner detector to find the features. Use SIFT descriptors and Match feature Descriptors between two images. Perform Homography using RANSAC. Finally wrap and stitch the image.
Akshay-Iyangar/operator-tutorial
Create a simple operator for Kubernetes using Go
Akshay-Iyangar/AlgoDS
Akshay-Iyangar/DeVISE-
This project is based on Pattern Recognition and Machine Learning. The paper followed for this project was DeVISE written by authors at google. This project needs an extensive GPU support to train the model.http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/41473.pdf.
Akshay-Iyangar/JavaRecommender
Search Engine that recommends Java content of StackOverflow to users.Used Scrapy and Jsoup to crawl the internet. Used Apache lucene to index. And used MVC and servlet for web-app
Akshay-Iyangar/airflow-development-kit
Akshay-Iyangar/beam
Apache Beam
Akshay-Iyangar/Classification
This is Berkeley Project in Artificial Intelligence to classify using Perceptron, MIRA. Please visit the CS Berkeley site for AI for in detailed explanation of the project
Akshay-Iyangar/D3conceptmap
Akshay-Iyangar/DataVisualisation-Java_SO
Visualizing Stack Overflow data of students learning JAVA. This project was aimed to analyze data and visualize the data in an efficient way
Akshay-Iyangar/DCRAdapterGO
Akshay-Iyangar/flink-on-k8s-operator
Kubernetes operator for managing the lifecycle of Apache Flink and Beam applications.
Akshay-Iyangar/glue-test-map-reduce
Testing Glue on EMR with a simple Map Reduce
Akshay-Iyangar/hackathon
Akshay-Iyangar/http-logspout
Akshay-Iyangar/icfp-2019
Akshay-Iyangar/ImageCaptioningAndVideoSummarization
Akshay-Iyangar/ImageCaptioningNVideoSummarization
Akshay-Iyangar/Intrinsic-Extrinsic-camera-parameters-and-Camera-Calibration
To determine Intrinsic and Extrinsic parameters of Camera and to calibrate a camera using the parameters obtained and to use Zhang's Camera Calibration tool box to calibrate the Camera.
Akshay-Iyangar/MarkdownGenerator
Swift library to programmatically generate Markdown output and files
Akshay-Iyangar/Multi-Agent
This is Berkeley Project in Artificial Intelligence using Reflex Agent, Min-Max, Alpha-Beta Pruning, Expectimax . Please visit the CS Berkeley site for AI for in detailed explanation of the project
Akshay-Iyangar/RedfinWorkSample
Exercise to list restaurants
Akshay-Iyangar/Reinforcement
This is Berkeley Project in Artificial Intelligence to classify using Value Iteration,Bridge Cross Analysis,Policy iteration and Q- learning. Please visit the CS Berkeley site for AI for in detailed explanation of the project
Akshay-Iyangar/Search-Agent
This is Berkeley Project in Artificial Intelligence to build search agents. The algorithms implemented are Depth First Search, Breadth First Search, Uniform Cost Search, A* search, Corners Problem,Corners Problem with heuristic,Eating All Dots using Heuristics and Sub optimal Search . Please visit the CS Berkeley site for AI for in detailed explanation of the project
Akshay-Iyangar/slack
Slack css
Akshay-Iyangar/Spatial-and-Geometry-Operations
This Project is for Geo spatial Operations performed using Distributed Database Systems Hadoop and Apache Spark. This project intends to solve operations like Closest pair, Convex Hull,Farthest Pair,Join,Range and Union. The project also was deployed on Amazon Web service to monitor metric performance of all the operations using ganglia.
Akshay-Iyangar/spinalpack
Akshay-Iyangar/spring-swagger-example
Akshay-Iyangar/template-gh-just-the-doc