Easily train a good VC model with voice data <= 10 mins!

💬 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

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

An efficient, flexible and full-featured toolkit for fine-tuning large models (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)

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

CakeChat: Emotional Generative Dialog System

This repo contains implementation of different architectures for emotion recognition in conversations.

Large datasets for conversational AI

DAMO-ConvAI: The official repository which contains the codebase for Alibaba DAMO Conversational AI.

This is the Plato Research Dialogue System, a flexible platform for developing conversational AI agents.

Large-scale pretrained models for goal-directed dialog

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation

中文医疗对话模型扁鹊(BianQue)

DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection and Instruction-Aware Models for Conversational AI

A dynamic, scalable AI chatbot built with Django REST framework, supporting custom training from PDFs, documents, websites, and YouTube videos. Leveraging OpenAI's GPT-3.5, Pinecone, FAISS, and Celery for seamless integration and performance.

EMNLP 2020: "Dialogue Response Ranking Training with Large-Scale Human Feedback Data"

中文领域心理健康对话大模型SoulChat

《Rasa实战：构建开源对话机器人》官方随书代码 | The official source code of Rasa in Action: Building Open Source Conversational AI

RASA chatbot use case boilerplate

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.