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hemanoid's Projects

agentgpt icon agentgpt

🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

ai-tech-news-bot icon ai-tech-news-bot

AI tech news crawler that summarizes what's trending based on your preferences

ai-town icon ai-town

A MIT-licensed, deployable starter kit for building and customizing your own version of AI town - a virtual town where AI characters live, chat and socialize.

anydoor icon anydoor

Official implementations for paper: Anydoor: zero-shot object-level image customization

auto-gpt icon auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

auto-news icon auto-news

A personal news aggregator to pull information from multi-sources + LLM (ChatGPT via LangChain) to help us reading efficiently with less noises, the sources including: Tweets, RSS, YouTube, Web Articles, Reddit, and personal Journal notes.

autocoder icon autocoder

We introduced a new model designed for the Code generation task. Its test accuracy on the HumanEval base dataset surpasses that of GPT-4 Turbo (April 2024) and GPT-4o.

banking icon banking

Horizon is a modern banking platform for everyone.

breadboard icon breadboard

Stable Diffusion Browser for Windows, Mac, and Linux

byteps icon byteps

A high performance and generic framework for distributed DNN training

camel icon camel

🐫 CAMEL: Communicative Agents for “Mind” Exploration of Large Language Model Society (NeruIPS'2023) https://www.camel-ai.org

chatdev icon chatdev

Create Customized Software using Natural Language Idea (through Multi-Agent Collaboration)

chatglm-6b icon chatglm-6b

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

chattts icon chattts

ChatTTS is a generative speech model for daily dialogue.

comfyui icon comfyui

A powerful and modular stable diffusion GUI with a graph/nodes interface.

create-t3-turbo icon create-t3-turbo

Clean and simple starter repo using the T3 Stack along with Expo React Native

deepracer-log-analysis icon deepracer-log-analysis

Adventures in a data-driven approach to training, evaluating and tuning AWS DeepRacer reinforcement learning models (compatible with the new AWS DeepRacer console training logs after Aug 2020).

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