Update ideas.md

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blueloveTH 2025-03-12 17:19:48 +08:00
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@ -8,7 +8,7 @@ label: "Project Ideas"
+ Difficulty Level: 3/5 (Medium) + Difficulty Level: 3/5 (Medium)
+ Skill: TypeScript; C + Skill: TypeScript; C
+ Project Length: Small + Project Length: Medium
Community users have reported that there is no convenient way to debug python applications interpreted by pocketpy. Fortunately, VSCode provides a mechanism of [Debugger Extension](https://code.visualstudio.com/api/extension-guides/debugger-extension) that allows us to integrate pocketpy debugger into VSCode UI through Debug Adapter Protocol (DAP). Community users have reported that there is no convenient way to debug python applications interpreted by pocketpy. Fortunately, VSCode provides a mechanism of [Debugger Extension](https://code.visualstudio.com/api/extension-guides/debugger-extension) that allows us to integrate pocketpy debugger into VSCode UI through Debug Adapter Protocol (DAP).
@ -18,7 +18,7 @@ This project aims to develop a VSCode plugin like [Python Debugger](https://mark
+ Difficulty Level: 4/5 (Hard) + Difficulty Level: 4/5 (Hard)
+ Skill: C; Further Mathematics + Skill: C; Further Mathematics
+ Project Length: Medium + Project Length: Small or Medium
pocketpy is providing 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 runable prototype located at [pocketpy/cTensor](https://github.com/pocketpy/cTensor). But math operators have not been implemented yet. pocketpy is providing 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 runable prototype located at [pocketpy/cTensor](https://github.com/pocketpy/cTensor). But math operators have not been implemented yet.