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
An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
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.
DAMO-ConvAI: The official repository which contains the codebase for Alibaba DAMO Conversational AI.
Large datasets for conversational AI
This is the Plato Research Dialogue System, a flexible platform for developing conversational AI agents.
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation
Large-scale pretrained models for goal-directed dialog
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.
AIUI is a platform enabling seamless two-way verbal communication with AI.
《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
EMNLP 2020: "Dialogue Response Ranking Training with Large-Scale Human Feedback Data"
RASA chatbot use case boilerplate
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