DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.

🎨 Fill in masked parts of images with FLUX.1-dev 🖌️

Kolors Team

LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs

A python script used to general a batch of text-to-image photos using AI for tiktok videos. Uses the Flux-Dev model and images can also be used for general purpose reasons.

Various AI scripts. Mostly Stable Diffusion stuff.

Official code implementation of General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model

Accepted as [NeurIPS 2024] Spotlight Presentation Paper

微信公众号文章的爬虫

SEED-Story: Multimodal Long Story Generation with Large Language Model

Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with …

GLM-4 series: Open Multilingual Multimodal Chat LMs | 开源多语言多模态对话模型

best way to save what you love

A browser extension for automating your browser by connecting blocks

All the world is a play, we are but actors in it.

👩🏿‍💻👨🏾‍💻👩🏼‍💻👨🏽‍💻👩🏻‍💻中国独立开发者项目列表 -- 分享大家都在做什么

WACV 2020 "Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison"

CoreNet: A library for training deep neural networks

This is a sample program that recognizes hand signs and finger gestures with a simple MLP using the detected key points. Handpose is estimated using MediaPipe.

Face and iris detection for Python based on MediaPipe

Live2D Virtual Human for Chatting based on Unity

HAnd Gesture Recognition Image Dataset

MediaPipeのPythonパッケージのサンプルです。2024/9/1時点でPython実装のある15機能について用意しています。

Nightly release of ControlNet 1.1

收录独立开发者出海技术栈和工具

✨ Standard library for JavaScript and Node.js. ✨

Mobile-Agent: The Powerful Mobile Device Operation Assistant Family

High-performance In-browser LLM Inference Engine

GPT based autonomous agent designed to create personalized newspapers tailored to user preferences.

Code and documentation to train Stanford's Alpaca models, and generate the data.