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<p align="center">English | <a href="docs/api/transforms.md">Data Augmentations API Docs</a> | <a href="https://www.zhihu.com/column/c_1426666301352218624">ZhiHu Page</a> | <a href="https://pepy.tech/project/torchlm">Pypi Downloads</a> </p>
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## News 👇👇
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Most of my time now is focused on **LLM/VLM** Inference. Please check 📖[Awesome-LLM-Inference](https://github.com/DefTruth/Awesome-LLM-Inference) ![](https://img.shields.io/github/stars/DefTruth/Awesome-LLM-Inference.svg?style=social), 📖[Awesome-SD-Distributed-Inference](https://github.com/DefTruth/Awesome-SD-Distributed-Inference) ![](https://img.shields.io/github/stars/DefTruth/Awesome-SD-Distributed-Inference.svg?style=social) and 📖[CUDA-Learn-Notes](https://github.com/DefTruth/CUDA-Learn-Notes) ![](https://img.shields.io/github/stars/DefTruth/CUDA-Learn-Notes.svg?style=social) for more details.
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## 🤗 Introduction
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**torchlm** is aims to build a high level pipeline for face landmarks detection, it supports **training**, **evaluating**, **exporting**, **inference(Python/C++)** and **100+ data augmentations**, can easily install via **pip**.

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