Popular GitHub Repositories for Virtual Try Off

? Leon is your open-source personal assistant.

Alluxio, data orchestration for analytics and machine learning in the cloud

InternGPT (iGPT) is an open source demo platform where you can easily showcase your AI models. Now it supports DragGAN, ChatGPT, ImageBind, multimodal chat like GPT-4, SAM, interactive image editing, etc. Try it at igpt.opengvlab.com (支持DragGAN、ChatGPT、ImageBind、SAM的在线Demo系统)

A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.

MuseV: Infinite-length and High Fidelity Virtual Human Video Generation with Visual Conditioned Parallel Denoising

VirtualWife是一个虚拟数字人项目，支持B站直播，支持openai、ollama

Leaked GPTs Prompts Bypass the 25 message limit or to try out GPTs without a Plus subscription.

UnrealCV: Connecting Computer Vision to Unreal Engine

Try out deep learning models online on Google Colab

[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals

Hardware for SUSI AI https://susi.ai

the open-source virtual assistant for Ubuntu based Linux distributions

A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.

Welcome to the Bot Framework Solutions repository which is the home for a set of templates and solutions to help build advanced conversational experiences using Azure Bot Service and Bot Framework. Microsoft Bot Framework is a comprehensive framework for building enterprise-grade conversational AI experiences.

Natural language detection library for Rust. Try demo online: https://whatlang.org/

A list of synthetic dataset and tools for computer vision

Resources of our paper "FilmAgent: A Multi-Agent Framework for End-to-End Film Automation in Virtual 3D Spaces". New versions in the making!

An index of algorithms for offline reinforcement learning (offline-rl)

A Model Context Protocol (MCP) Gateway. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE).

A user-friendly, multi-platform GUI for managing and running CrewAI agents and tasks. Supports Conda and virtual environments, no coding needed.