There are 3 repositories under hyperdrive topic.
An experimental peer-to-peer Web browser
Node module for creating dat compatible tools on file systems [ DEPRECATED - More info on active projects and modules at https://dat-ecosystem.org/ ]
A CLI for peer-to-peer file sharing using the Hypercore Protocol.
🌏 🆔 Decentralized Identity
HTTP request handler for Hyperdrive and Hypercore [ DEPRECATED - More info on active projects and modules at https://dat-ecosystem.org/ ]
Accelerate from zero to a Lando-based dev environment in less then 12 par-steps
Continuous reading from a http(s) url using random offsets and lengths for peers in a distributed system
Monitor the health of a hyperfeed (hypercore or hyperdrive), including peer count and peer mirror percentages.
A Kappa-style peer-to-peer content database, on top of hyperdrives.
Dat Defaults for Discovery Swarm [ DEPRECATED - More info on active projects and modules at https://dat-ecosystem.org/ ]
Hyperdrive · Car Racing Game · Windows · C#, Unity, Blender
💬 Simple prototype distributed P2P chat app using Dat via hyperdrive for social profiles and authentication
Training two models, one with with AutoML & one with HyperDrive, compare, and deploy the best model as a service - A Machine Learning Engineer Project
A GraphQL interface over a connected Hyperdrive Daemon Client.
TCP/UDP swarm on top of WebExtension's native messaging protocol
Manage multiple hyperdrive instances [ DEPRECATED - More info on active projects and modules at https://dat-ecosystem.org/ ]
A prototype server to swarm multiple DATs for Webrecorder
Modern Swift design patterns, sugars and extensions for mobile development
An experimental peer-to-peer Web browser - Compiler optimized, community maintained fork.
An opinionated microframework for creating hypermedia APIs in Go
Classical Guitar Tablature from classtab.org represented in SLEEP files for HyperDrive
interplanetary messaging platform
save rotonde feeds for use with hashbase.io and datproject.org
A demo site for @cloudflare Hyperdrive (makes databases fast) - https://developers.cloudflare.com/hyperdrive/
This is the Capstone project (last of the three projects) required for fulfillment of the Nanodegree Machine Learning Engineer with Microsoft Azure from Udacity. In this project, we use a dataset external to Azure ML ecosystem. Azure Machine Learning Service and Jupyter Notebook is used to train models using both Hyperdrive and Auto ML and then the best of these models is deployed as an HTTP REST endpoint. The model endpoint is also tested to verify if it is working as intented by sending an HTTP POST request. Azure ML Studio graphical interface is not used in the entire exercise to encourage use of code which is better suited for automation and gives a data scientist more control over their experiment.
let's learn how to write peer-to-peer applications in javascript!