Abhishek Chhabra's Projects
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A tool to manage your wallets
A simple Javascript chat app built on the blockchain with Lotion & Tendermint
GraphQL essentials Linkedin Learning
Caffe: a fast open framework for deep learning.
Testing using cookiecutter-django for building CRUD backends for Hack For LA and Civic Tech Index projects
content for Udacity's cloud developer nanodegree
Big Data Visualization
CockroachDB - the open source, cloud-native distributed SQL database.
The COW Programming Language
Elementally - TripleA - Advanced Mobile Devices and Game Consoles
CLP using Hyperledger fabric and blockchain
Diff Comparison between XLSX and JSON
The Web framework for perfectionists with deadlines.
Sample application for Lightning Web Components on Salesforce Platform. Part of the sample gallery. Real estate use case. Get inspired and learn best practices.
Salesforce Sample App part of the sample gallery. Real estate use case. Get inspired and learn best practices.
Automated generation of real Swagger/OpenAPI 2.0 schemas from Django REST Framework code.
ECHO is a semi-supervised framework for classifying evolving data streams based on our previous approach SAND. The most expensive module of SAND is the change detection module, which has cubic time complexity. ECHO uses dynamic programming to reduce the time complexity. Moreover, ECHO has a maximum allowable sliding window size. If there is no concept drift detected within this limit, ECHO updates the classifiers and resets the sliding window. Experiment results show that ECHO achieves significant speed up over SAND while maintaining similar accuracy. Please refer to the paper (mentioned in the reference section) for further details.
Front-End-Smart-Contract
Framework for serverless Decentralized Applications using Ethereum, IPFS and other platforms
Shell Script to automate local backup of files and folders
Testing the GitHub API
Join the GitHub Graduation Yearbook and "walk the stage" on June 11.
Official Go implementation of the Ethereum protocol
HackSC 2020
Undergrad pre-final year project
Perceptual hashing using dHash