ChatterBot is a machine learning, conversational dialog engine for creating chat bots

Automated Cherry Studio review for local branches, PRs, commits, files, architecture docs, and repository skills. Use for code or documentation reviews that need project-specific naming, main/renderer/shared placement and dependency rules, IpcApi and DataApi boundaries, lifecycle/service ownership, renderer hooks, React/UI conventions, and tests. Supports single-agent review with interactive fix selection or multi-agent reviewer-verifier review with risk-based auto-fix. To diagnose gaps in the skill after a review session, run `/gh-pr-review diag`.

An open source library for deep learning end-to-end dialog systems and chatbots.

GUI framework on top of aiogram

用于训练中英文对话系统的语料库 Datasets for Training Chatbot System

A Claude Code plugin marketplace offering plugins for README visuals, README audits, and .NET test-coverage backfills.

Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

A fast responsive, machine learning, conversational dialog engine for creating chat bots, written in Go.

[CVPR 2017] Torch code for Visual Dialog

GDPR fragment dialog implementation

PyTorch code for Learning Cooperative Visual Dialog Agents using Deep Reinforcement Learning