FlorenceBot
Dragonfire
FlorenceBot | Dragonfire | |
---|---|---|
1 | 2 | |
2 | 1,372 | |
- | 0.0% | |
10.0 | 0.0 | |
over 1 year ago | over 1 year ago | |
Prolog | Python | |
- | MIT License |
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FlorenceBot
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any use case of ontology+NLP?
Maybe this project of mine could be a good example. I used Prolog to represent a knowledge base and processed everything with a chat bot.
Dragonfire
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Siri / Cortona Alternatives for Linux
You can run it on a Debian or Ubuntu system and install it through the .deb file or by cloning the GitHub repo. There is also a troubleshooting section that is very helpful with the installation and usage of this system.
- Why your own Assistant when there are sooo many?
What are some alternatives?
NOVA-NodeJS - NOVA is a customizable voice assistant made with Node.js.
mycroft-core - Mycroft Core, the Mycroft Artificial Intelligence platform.
edenai-apis - Eden AI: simplify the use and deployment of AI technologies by providing a unique API that connects to the best possible AI engines
jasper-client - Client code for Jasper voice computing platform
LiveWhisper - A nearly-live implementation of OpenAI's Whisper, using sounddevice. Requires existing Whisper install.
stephanie-va - Stephanie is an open-source platform built specifically for voice-controlled applications as well as to automate daily tasks imitating much of an virtual assistant's work.
gpt-voice-conversation-chatbot - Allows you to have an engaging and safely emotive spoken / CLI conversation with the AI ChatGPT / GPT-4 while giving you the option to let it remember things discussed.
kalliope - Kalliope is a framework that will help you to create your own personal assistant.
war-crimes-explorer - Interactive in-browser learning about genocide, war crimes, crimes against humanity, and aggression.
Friday - An open-source virtual assistant.
kaldi-offline-transcriber - Offline transcription system for Estonian using Kaldi
Jarvis_AI - Jarvis AI is a Python Module which is able to perform task like Chatbot, Assistant etc. It provides base functionality for any assistant application. This JarvisAI is built using Tensorflow, Pytorch, Transformers and other opensource libraries and frameworks.