johncordeiro Goto Github PK

android-channel

awesome-readme

A curated list of awesome READMEs

catch-cep-api

test api for handle data in push plataform

chromecastbase

It's a Chromecast base project using the CastCompanion library, implementing resources such as video casting and data casting.

courier

A fast, GoLang message receiver and sender for SMS and IP channels

dash

Library utilities for building dashboards against RapidPro

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

elastic-beanstalk-samples

This repository contains code and configuration samples (e.g. .ebextensions) for AWS Elastic Beanstalk.

fastchat_eval

using eval part of FastChat to evaluate the current mess of open-source LLMs

floweditor

Standalone flow editing tool designed for use within the RapidPro suite of messaging tools

folding-cell

FoldingCell is an expanding content cell inspired by folding paper material

generative-ai-with-llms

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

go-whatsapp

WhatsApp Web API

goflow

Golang Flow Engine for RapidPro

infinite-fire

Connects Firebase to a RecyclerView

linux

Linux kernel source tree

llama.cpp

Port of Facebook's LLaMA model in C/C++

magicbox

A platform that uses real-time data to inform life-saving humanitarian responses to emergency situations

markdownview

Android library to display markdown text.

parse-sdk-android

Parse SDK for Android

rapidpro

RapidPro allows organizations to visually build scalable interactive messaging applications.

rocket.chat

The communications platform that puts data protection first.

rxparse

Reactive Parse

spacy

💫 Industrial-strength Natural Language Processing (NLP) in Python

squad_v2.0_pt

Portuguese translation of SQuAD 2.0 dataset

ureport

Dashboard module for UReport working against RapidPro data

ureport-android

wearplayground

Android Wear development samples.

worker-runpod-vllm

Tests for improving quantized LLM speedup using vLLM (among other technologies)