Zxc200611/pocketpy
1
0
Fork 0
mirror of https://github.com/pocketpy/pocketpy synced 2025-10-20 11:30:18 +00:00
Code Issues Packages Projects Releases Wiki Activity

Update ideas.md

Browse Source
This commit is contained in:
blueloveTH 2025-02-02 19:43:07 +08:00
parent c3646b65ad
commit f1ae98359d
1 changed files with 9 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

9
docs/gsoc2025/ideas.md
View File

@ -17,6 +17,15 @@ LDTK exports raw level data in JSON format, which can be further parsed by game
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.
### Development `cTensor` library for machine learning
+ Difficulty Level: 3/5 (Medium)
+ Skill: C; Further Mathematics
+ Project Length: Medium
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).
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.
### VSCode plugin for debugging pocketpy applications
+ Difficulty Level: 3/5 (Medium)