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Rajasekhar Matam's Projects

blockchain_for_telcoroaming icon blockchain_for_telcoroaming

This blockchain Hyperledger Composer project shows you how to create a Hyperledger Fabric with smart contracts that govern the transactions between CSPs acting as home operators and roaming partners to track the activities of mobile users on the network.

blockchainbean icon blockchainbean

This code pattern shows how to model a supply-chain network using the IBM Blockchain Starter Plan and is based on a collaboration with Brooklyn Roasting Company. The story, along with the supply-chain documents that were used to model this network, can be found at:

blockchainbean2 icon blockchainbean2

This code pattern shows how to model a supply-chain network using the IBM Blockchain Platform V2 Beta and is based on a collaboration with Brooklyn Roasting Company. The story, along with the supply-chain documents that were used to model this network, can be found at:

blockchat icon blockchat

A simple Javascript chat app built on the blockchain with Lotion & Tendermint

blog icon blog

Repo for jeffknupp.com content

books icon books

Books about Nodejs, Angular2, Agile, Clean Code, Docker, Golang, Microservices, REST, TDD, BDD, and Startups.

bosquelanguage icon bosquelanguage

The Bosque programming language is an experiment in regularized design for a machine assisted rapid and reliable software development lifecycle.

brownlee icon brownlee

Code snippets from Jason Brownlee's ML and Deep Learning books.

caffe icon caffe

Caffe: a fast open framework for deep learning.

caret icon caret

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

chalice icon chalice

Python Serverless Microframework for AWS

chart.js icon chart.js

Simple HTML5 Charts using the <canvas> tag

cheatsheets-ai icon cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

cleveralgorithms icon cleveralgorithms

An open source book that describes a large number of algorithmic techniques from the the fields of Biologically Inspired Computation, Computational Intelligence and Metaheuristics in a complete, consistent, and centralized manner such that they are accessible, usable, and understandable.

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