EveripediaNetwork/eosjs-browser

This repository has been archived on 22/Apr/2020
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Created over 6 years ago
Updated over 6 years ago

EveripediaNetwork/eosjs-browser

EveripediaNetwork

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A browser-friendly version of eosjs

Everipedia

🔗 The IQ Network protocol

fastc

Simple and Lightweight Text Classifiers with LLM Embeddings

wagmi-magic-connector

wagmi connector to connect with Magic SDK

airdrop

🪂 Code related to the IQ airdrop

ep-ui

🧠 IQ.wiki Frontend

runpod-worker-vllm

Runpod VLLM Worker that Works !

issues

iq-bridge-ui

IQ-centric website. Bridge, Governance, Swaps, Voting and more...!

oraqle

Everipedia's first-party oracle solution

eth-eos-relay

A block header relay supporting the ability to run ETH transactions on EOS

everipedia-bounties

💰 Earn $IQ resolving bounties

prediqt-opensource

Prediction market built using EOSIO and IQ technology

iq-ethereum

mindswap-ui

web3-sign

web3 signer token

runpod-worker-exllamav2

ep-api

🚀 IQ.wiki API

awesome-web3

everipedia-always

🥇 See Everipedia instead of Wikipedia

ep-template

A Starter kit for IQ wiki projects 🌟

everipedia-ap-2020

AP is using Everipedia software on November 3rd, 2020 to publish the U.S. election results

everipedia-languages

Language translations for everipedia.org

iq-ui

smart-contract-audits

Security audits for the Everipedia Network smart contracts

mindswap-api

🛰 API for Mindswap Exotic AMM

summary-banana-template

Banana BrainDAO summary template

prediqt-public-issues

Repository to keep tracking of user feedback / bug reporting

prediqt-react

PredIQt React Components

prediqt-js

Prediqt JavaScript/TypeScript Client Library

oraqles-ui

runpod-serverless-summary

iq-utils

shared lib w common code for backend & frontend

polygon-fx-portal-foundry

braindao-ui

frax_testing

Forge testsuite for FRAX Gauges & Fraxswap

.github

wikipedia-importer

Convert Wikipedia articles to the Everipedia data format. Author: Philip Kutlesa

iq-code-codellama-banana

iq-code-benchmarks

Contains various benchmarks we use to evaluate LLM Models trained for IQ Code

Jupyter Notebook