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@@ -17,6 +17,15 @@ LDTK exports raw level data in JSON format, which can be further parsed by game
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This project aims to develop a full-featured python library for importing LDTK levels, with advanced support of [Auto Tiles](https://ldtk.io/wp-content/uploads/2020/11/autoLayer-demo2.gif) for games with random map generation. The library should be written in pure python, compatible with pocketpy and cpython. If successful, it will be published on [PyPI](https://pypi.org/) and benefit all python game developers.
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+### Development `cTensor` library for machine learning
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+
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++ Difficulty Level: 3/5 (Medium)
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++ Skill: C; Further Mathematics
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++ Project Length: Medium
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+
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+pocketpy is planning to provide a tensor library `cTensor` for users who want to integrate neural networks into their applications. `cTensor` implements automatic differentiation and dynamic compute graph. It allows users to train and deploy neural networks on client-side devices like mobile phones and microcontrollers (e.g. ESP32-C3). We have a early prototype located at [pocketpy/cTensor](https://github.com/pocketpy/cTensor).
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+In this project, students will help develop and test the `cTensor` library, which is written in C11. We expect students to have a good understanding of further mathematics and C programming.
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+
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### VSCode plugin for debugging pocketpy applications
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+ Difficulty Level: 3/5 (Medium)
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blueloveTH