Open Source

I am dedicated to open source endeavors, which I believe is the fundamental element for the sustainable development of the AI community. Here are some open source projects I've contributed to or maintained, covering areas from computer vision to deep learning frameworks.

Agentic Paper Reading Tool: Resophy

🎯 Read research papers faster with AI. Resophy is an HTML-based AI paper reader with: 🤖 AI Translation & Analysis — instantly understand structure, contributions, and results 🚀 Daily arXiv Recommendations — discover relevant papers with less noise 🛠️ Vibe Coding Oriented — agent-friendly and easy to customize.
GitHub stars
vlsi

Cookbook to Craft Good Code

In this guide, we'll dive into the essentials of crafting great code. We'll go through everything from how to name things clearly and highlight tools that make coding better and easier.
GitHub stars
vlsi

MMOCR

OpenMMLab Text Detection, Recognition and Understanding Toolbox.
GitHub stars
vlsi

Scene Text Recognition Recommendations

Long-time maintaining project for recording latest papers, datasets, algorithms, and SOTAs for scene text recognition
GitHub stars
vlsi

OCR-SAM

Combining MMOCR with Segment Anything & Stable Diffusion. Automatically detect, recognize and segment text instances, with serval downstream tasks, e.g., Text Removal and Text Inpainting
GitHub stars
vlsi

Efficient Deep Learning

Combining MMOCR with Segment Anything & Stable Diffusion. Automatically detect, recognize and segment text instances, with serval downstream tasks, e.g., Text Removal and Text Inpainting
GitHub stars
vlsi

Text Recognition on Cross Domain Datasets

Improved Text recognition algorithms on different text domains like scene text, handwritten, document, Chinese/English
GitHub stars
vlsi

Structured Dreambooth LoRA

Dreambooth (LoRA) with well-organized code structure. Naive adaptation from Diffusers.
GitHub stars