Andreas Markus Hahn's repositories

helia

An implementation of IPFS in JavaScript

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js-ceramic

Typescript implementation of the Ceramic protocol

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multiformats

The main repository for discussing multiformats.

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ceramic-anchor-service

Layer 2 service for anchoring batches of Ceramic commits into a single blockchain transaction.

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comlink

Comlink makes WebWorkers enjoyable.

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db-sdk

OrbisDB SDK to create, manage and query open data.

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feed-db

Feed database type for orbit-db

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go-orbit-db

Go version of P2P Database on IPFS

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gradio

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

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helia-http-gateway

Run Helia NodeJS in a Docker Container.

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helia-remote-pinning

A library that helps Helia consumers pin content via the https://ipfs.github.io/pinning-services-api-spec/. Initial design at https://pl-strflt.notion.site/create-interface-API-example-for-helia-remote-pinning-library-71011845a7b9476cb95ab425bb54455c

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hnswlib

Header-only C++/python library for fast approximate nearest neighbors

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img2dataset

Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

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ipfs-cluster

Pinset orchestration for IPFS

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ipfs-geoip

geoip lookup over DAG-CBOR dataset loaded from IPFS

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mysql-5.6

Facebook's branch of the Oracle MySQL v5.6 database. This includes MyRocks.

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orbit-db-pinner

A pinning service for Orbitdb, a decentralized database based on IPFS.

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orbitdb

Peer-to-Peer Databases for the Decentralized Web

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orbitdb-identity-provider-did

Create, sign and verify OrbitDB identities using Decentralized Identifiers (DIDs).

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private-ip

Check if IP address is private.

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public-gateway-checker

Checks which public gateways are online or not

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ripme

Downloads albums in bulk

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RsyncUI

A SwiftUI based macOS GUI for rsync.

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sailplane-web

Collaborative p2p file sharing in the browser

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service-worker-gateway

Experimental IPFS Gateway implemented in Service Worker

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set-db

Set database for orbit-db

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squoosh

Make images smaller using best-in-class codecs, right in the browser.

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transformers.js

State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!

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