An open source library for deep learning end-to-end dialog systems and chatbots.
-
Updated
Nov 26, 2024 - Python
An open source library for deep learning end-to-end dialog systems and chatbots.
CakeChat: Emotional Generative Dialog System
User Simulation for Task-Completion Dialogues
NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
NIPS Conversational Intelligence Challenge 2017 Winner System: Skill-based Conversational Agent with Supervised Dialog Manager
ConvAI baseline solution
An empathetic counselling chatbot. Retrieval-based, uses finetuned LMs for emotion identification and to boost empathy, novelty and fluency of the retrieved responses. Backend: Python, frontend: Javascript.
A collection of document for ChatScript dialog engine
Code tor the SIGDIAL 2019 paper Flexibly-Structured Model for Task-Oriented Dialogues. It implements a deep learning end-to-end differentiable dialogue system model
Goal-oriented open-ended counselling chatbot. Modular goals are added according to dialogue history and executed by priority via conditional prompts passed to an LLM. Uses Vicuna 13B as base model.
MakeCents is a dialogue system designed to help coin collectors quickly query coin prices.
User Simulation for Task-Completion Dialogues
Dialog policy optimization for task-oriented conversational agents in low resource setting using Reinforcement learning. The methodology is based on a novel probability based Self-play technique and a novel Reward based sampling technique that prioritizes failed dialogues over successful ones
The AVATAR project demonstrates virtual characters that play the role of a police officer or a witness in a police interview.
A comprehensive survey for recent advances and trends in dialogue system
Conversation alignment for debugging dialogue-as-planning agents.
Semantic Textual Similarity and Dialogue System package for Python
A dialogue bot for information access
User Simulation for Task-Completion Dialogues
Add a description, image, and links to the dialogue-agents topic page so that developers can more easily learn about it.
To associate your repository with the dialogue-agents topic, visit your repo's landing page and select "manage topics."