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poveteen's Projects

ai_news_writer icon ai_news_writer

The primary purpose of this project is to create a news aggregator that gathers headlines and summaries announcements, news, and trending information about artificial intelligence and other cool technology stuff. After it has collected the articles and announcements, I would like it to generate a summary giving the highlights of that week's news. I

annyang icon annyang

:speech_balloon: Speech recognition for your site

appsales-mobile icon appsales-mobile

App Sales allows iPhone and Mac App Store developers to download and analyze their daily and weekly sales reports from iTunes Connect.

appslate icon appslate

iOS Application - AppSlate. Please visit to www.facebook.com/AppSlate

asr_project icon asr_project

This repository created for the NHN ASR hackathon competition.

autosub icon autosub

AutoSub is a CLI application to generate subtitle file (.srt) for any video file using Mozilla DeepSpeech

balena-web-ble icon balena-web-ble

A project to showcase a Web BLE app communicating with a balena powered BLE peripheral

bert-as-service icon bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

blockly-gpio icon blockly-gpio

Raspberry Pi visual programming using blockly, with GPIO control and simple simulation.

botpress-connector icon botpress-connector

Botpress Connector will connect your botpress bot with your Rocket.chat server!

buildroot-webkit icon buildroot-webkit

Buildroot WebKit fullscreen browser for Raspberry Pi. Suitable for HTML 5 user interfaces or digital signage / kiosk installations. It also can be used as a fullscreen video loop player. Ready to use RPi Zero/W and RPi 3 B SD card images are available.

cakechat icon cakechat

CakeChat: Emotional Generative Dialog System

calla icon calla

Virtual Meetups through Jitsi

chatette icon chatette

A powerful dataset generator for Rasa NLU, inspired by Chatito

chatllama icon chatllama

ChatLLaMA 📢 Open source implementation for LLaMA-based ChatGPT runnable in a single GPU. 15x faster training process than ChatGPT

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