A package of chatbots implemented by me

Tools for processing Reddit conversations data

This is a repository that shows how to use entities through the rasa framework. This application is a pokemon finder.

This is drafts of the model, that doublechecks the information with Wikipedia and cooperate with ChatGPT to provied best response

Rasa based Dialog System in Formula1 domain - 🎙 Language Understanding Systems (2020-2021)

seq2seq models

LT2216 Dialogue Systems, final project: A dialogue game using RASA. The chatbot asks the user to find "the odd one out" of four items.

ReflectiveMultiChat is an AI chatbot designed to generate multiple potential responses before reflecting on them to select the most effective one.

A Deep Reinforcement Learning technique incorporating Actor Critic framework and hybrid value networks to improve the dialogue policy.

Final project for LT2319 Dialogue Systems 2: a system you can ask for various information on different countries.

A dummy dialog dialog system implementing traditional Reinforcement Learning algorithms like Q-Leaning and SARSA

Dataset and code for "Converse, Focus and Guess - Towards Multi-Document Driven Dialogue" (AAAI2021)

The final project for Dialogue Systems Course LT2216

qachatbot

Deep Evaluation for Response Predictors

The offical PyTorch implementation of the models used in DialGen paper.

A multiturn seq2seq chatbot implement by pytorch with Cornell Movie-Dialogs Corpus.

A Dialogue system that is able to recommend movies based on user preferences like director, starring actor/actress and genre. It can also answer queries about recommended movies. It accesses data via a the TMDB API.

Creating a seq2seq dataset from OpenSubtitles data

An episodic, multi-model, servable framework for Dialog Systems