Popular GitHub Repositories for Role Playing

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

Chat凉宫春日, An open sourced Role-Playing chatbot Cheng Li, Ziang Leng, and others.

A list of awesome tools, ideas, prompt engineering tools, colabs, models, and helpers for the prompt designer playing with aiArt and image synthesis. Covers Dalle2, MidJourney, StableDiffusion, and open source tools.

A platform for playing generative music in the browser.

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

? Introducing ? CAMEL: a game-changing role-playing approach for LLMs and auto-agents like BabyAGI & AutoGPT! Watch two agents ? collaborate and solve tasks together, unlocking endless possibilities in #ConversationalAI, ? gaming, ? education, and more! ?

Awesome-llm-role-playing-with-persona: a curated list of resources for large language models for role-playing with assigned personas

Unified Reinforcement Learning Framework

Speech to Text to Speech. Song now playing. Sends text as OSC messages to VRChat to display on avatar. (STTTS) (Speech to TTS) (VRC STT System) (VTuber TTS)

[CoRL '23] Dexterous piano playing with deep reinforcement learning.

基于Pytorch和torchtext的知识图谱深度学习框架。

Code and datasets for "Character-LLM: A Trainable Agent for Role-Playing"

Deep Q-learning for playing flappy bird game

Artificial intelligence learn playing any game with watching you.

Want a faster ML processor? Do it yourself! -- A framework for playing with custom opcodes to accelerate TensorFlow Lite for Microcontrollers (TFLM). . . . . . Online tutorial: https://google.github.io/CFU-Playground/ For reference docs, see the link below.

Deep Q-learning for playing tetris game

A neural network architecture for NLP tasks, using cython for fast performance. Currently, it can perform POS tagging, SRL and dependency parsing.

Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.

playing idealized trading games with deep reinforcement learning