Tengchao Lv

手写实现李航《统计学习方法》书中全部算法

Annotated Python implementations of every algorithm in the Chinese ML textbook Statistical Learning Methods by Li Hang, with each code line linked to the corresponding mathematical formulas in the book.

力求囊括主流NLP模型练手项目，不断更新中

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MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）

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MCP for xiaohongshu.com

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Flow function examples for flows.network

The ICDAR 2019 cTDaR is to evaluate the performance of methods for table detection (TRACK A) and table recognition (TRACK B). For the first track, document images containing one or several tables are provided. For TRACK B two subtracks exist: the first subtrack (B.1) provides the table region. Thus, only the table structure recognition must be performed. The second subtrack (B.2) provides no a-priori information. This means, the table region and table structure detection has to be done.

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