Projects
Personal and collaborative open-source frameworks, toolkits, and infrastructure projects.
Work I build in the open.
Independent
Personal Development
Frameworks and toolkits I designed and maintain independently.
Boundary
A per-site Chrome extension that blocks search-box distractions, including placeholder text, suggestion dropdowns, and browser autocomplete.
- Works on a per-site basis instead of forcing a global browsing rule
- Removes multiple layers of search-box distraction at once
- Keeps the browsing experience minimal and focused
ModelReady
A tool that lets you start a local or Hugging Face model instantly and use it directly from chat through an OpenAI-compatible endpoint.
- Starts local or Hugging Face models without leaving the chat workflow
- Exposes the model through an OpenAI-compatible API endpoint
- Supports quick status checks, chat interaction, and server control commands
LibreTalk
A Chrome extension that helps users speak freely while keeping their messages gentle, empathetic, and constructive through AI-generated high-EQ replies.
- Generates high-EQ replies based on relationship, tone, history, and intent
- Works as a floating assistant across websites such as WeChat Web, Slack, and Gmail
- Supports one-click copy for quick insertion into ongoing conversations
Collaborative
Collaborative Development
Frameworks built with labs, research groups, or open-source collaborators.
CoLLiE
Core Contributor
An efficient collaborative training framework for large language models, designed to support scalable pretraining and fine-tuning with a user-friendly workflow.
- Supports data, tensor, and pipeline parallelism for large-scale LLM training
- Integrates memory-efficient fine-tuning methods such as PEFT and LOMO
- Keeps a HuggingFace-like interface while simplifying distributed training setup
ChatZoo
Core Contributor
A lightweight local evaluation tool for large language models that supports side-by-side chatting, debugging, and response quality assessment across multiple models.
- Enables interactive comparison across multiple chat models in one interface
- Supports debugging, annotation, vote analysis, and session export
- Can be deployed locally to preserve chat data privacy
SafeWork-R1
Core Contributor
A multimodal safety reasoning project that advances safety and general capability together through safety-oriented reinforcement learning and verifier-guided post-training.
- Built with the SafeLadder framework for progressive safety-oriented RL post-training
- Develops intrinsic safety reasoning and self-reflection instead of only learning human preference signals
- Improves safety benchmarks strongly while preserving general multimodal capabilities
OpenRT
Contributor
An open-source red teaming framework for multimodal large language models, built for attack generation, safety evaluation, and configuration-driven experimentation.
- Supports 42+ black-box and white-box attack methods for MLLMs
- Uses a modular plugin architecture for attacks, models, judges, and evaluators
- Runs reproducible experiments through YAML-based configuration files