Popular GitHub Repositories for Rasa Starter Pack

? Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

The Self-hosted AI Starter Kit is an open-source template that quickly sets up a local AI environment. Curated by n8n, it provides essential tools for creating secure, self-hosted AI workflows.

:satellite: All You Need to Know About Deep Learning - A kick-starter

? RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. Built w/ Rasa, FastAPI, Langchain, LlamaIndex, SQLModel, pgvector, ngrok, telegram

Rasa Core is now part of the Rasa repo: An open source machine learning framework to automate text-and voice-based conversations

A react-based starter app for using the Live API over websockets with Gemini

Starter-kit to build constrained agents with Nextjs, FastAPI and Langchain

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

Google AI Studio Starter Apps

A feature-rich chat widget for Rasa and Botfront

building a chinese dialogue system based on the newest version of rasa(基于最新版本rasa搭建的对话系统)

Rasa UI is a frontend for the Rasa Framework

ChatGTP (gpt3.5-turbo) starter app

? Lobe Icons - Popular AI / LLM Model Brand SVG Logo and Icon Collection.

A starter kit for building ai agents on Cloudflare

Enterprise-grade open source GUI platform for Rasa teams

Angular 20 Fullstack Starter with Node.js (JavaScript & TypeScript), Spring Boot, and AI (LLM, Voice, Podcast). Includes SSR, PWA, REST APIs, Docker, and CI/CD pipelines.

Angular 20 Fullstack Starter with Node.js, Java, and AI (LLM, Voice, Podcast). Includes SSR, PWA, REST APIs, Docker.

RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code

The first-ever vast natural language processing benchmark for Indonesian Language. We provide multiple downstream tasks, pre-trained IndoBERT models, and a starter code! (AACL-IJCNLP 2020)