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Tsinghua University
- Beijing, China
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12:42
(UTC +08:00) - https://c7w.tech/
- https://orcid.org/0009-0004-6727-5778
- https://scholar.google.com/citations?user=WvbKfLgAAAAJ
Stars
Spec-driven development for AI coding assistants.
SAG - SQL驱动的RAG引擎 · 查询时自动构建知识图谱 | SQL-Driven RAG Engine · Automatically Build Knowledge Graph During Querying
PSFT is a trust-region–inspired fine-tuning objective that views SFT as a policy gradient method with constant advantages, constraining policy drift to stabilize training and improve generalization.
A reproduction of the Deepseek-OCR model including training
Bark is an iOS App which allows you to push custom notifications to your iPhone
📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉
Automatically crawl arXiv papers daily and summarize them using AI. Illustrating them using GitHub Pages.
Easily compute clip embeddings and build a clip retrieval system with them
A MemAgent framework that can be extrapolated to 3.5M, along with a training framework for RL training of any agent workflow.
We are committed to the open-sourcing quantitative knowledge, aiming to bridge the information gap between the domestic and international quantitative finance industries. 我们致力于量化知识的开源与汉化,打破国内外量化金融行…
Matplotlib styles for scientific plotting
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
Build, evaluate and train General Multi-Agent Assistance with ease
Puzzles for learning Triton, play it with minimal environment configuration!
🔥 A minimal training framework for scaling FLA models
🚀 Efficient implementations of state-of-the-art linear attention models
An intuitive and low-overhead instrumentation tool for Python
Use Claude Code as the foundation for coding infrastructure, allowing you to decide how to interact with the model while enjoying updates from Anthropic.