A web application for browsing and managing chat histories from the Cursor editor's AI chat feature. View, search, and export your AI conversations in various formats.
An open version of ChatGPT you can host anywhere or run locally.
关键参数与规格
关键参数与规格
参数
值
语言
JavaScript
类别
Applications
子类别
Coding
关键词
IDE, Text-to-code
星标数
514
分叉数
41
贡献者
3
创建日期
2021-08-27
更新日期
2026-10-09
1 天星标数
0
7 天星标数
0
排名
17,983
上次排名
17,756
排名变化
-227
7 天星标排名
16,400
上次 7 天星标排名
17,990
7 天星标排名变化
1,590
总星标排名
18,950
上次总星标排名
18,922
总星标排名变化
-28
README 摘录
It is delivered to you in the form of a Visual Studio Code Extension and is **Free and Open-source**! Installation You can find installation instructions and additional information about CodeGenX in the documentation here. Languages Supported CodeGenX currently only supports Python. We are planning to add additional languages in future releases. Modules Trained On CodeGenX was trained on Python code which covers many of its common uses. Some libraries which CodeGenX is specifically trained on are: 1. How CodeGenX
Works At the core of CodeGenX lies a large neural network called GPT-J. GPT-J is a 6 billion parameter transformer model which was trained on hundreds of gigabytes of text from the internet. We fine-tuned this model on a dataset of open-source python code. This fine-tuned model can now be used to generate code when given an input with the right instructions. Contributors ✨ This project would not have been possible without the help of these
wonderful people: Acknowledgements Many thanks to the support of the Google TPU Research Cloud for providing the precious compute needed for this project.
CodeGenX is back online! 🎉We are sorry for the long wait
Existing users will need to update the extension in VsCode and New users can sign up on our website
CodeGenX is a Code Generation system powered by Artificial Intelligence! It is delivered to you in the form of a Visual Studio Code Extension and is Free and Open-source!
Installation
You can find installation instructions and additional information about CodeGenX in the documentation here.
About CodeGenX
1. Languages Supported
CodeGenX currently only supports Python. We are planning to add additional languages in future releases.
2. Modules Trained On
CodeGenX was trained on Python code which covers many of its common uses. Some libraries which CodeGenX is specifically trained on are:
Tensorflow
Pytorch
Scikit-Learn
Pandas
NumPy
OpenCV
Django
Flask
PyGame
3. How CodeGenX Works
At the core of CodeGenX lies a large neural network called GPT-J. GPT-J is a 6 billion parameter transformer model which was trained on hundreds of gigabytes of text from the internet. We fine-tuned this model on a dataset of open-source python code. This fine-tuned model can now be used to generate code when given an input with the right instructions.
Contributors ✨
This project would not have been possible without the help of these wonderful people:
