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DeepGenX

CodeGenX

Code Generation using GPT-J.

ApplicationsCodingJavaScript
Open on GitHub
Momentum
+0stars in 24 hours0.0%
514
Stars
41
Forks
+0
This week
3
Contributors
Created 2021-08-27 · Updated 2026-10-09 · #17983 today
Top developers
AryagmMatthias1590dome272

DeepGenX/CodeGenX is ranked 17,983 with 514 stars.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguageJavaScript
CategoryApplications
SubcategoryCoding
KeywordsIDE, Text-to-code
Stars514
Forks41
Contributors3
Created date2021-08-27
Updated date2026-10-09
Stars in 1 day0
Stars in 7 days0
Rank17,983
Previous rank17,756
Rank change-227
7-day stars rank16,400
Previous 7-day stars rank17,990
7-day stars rank change1,590
Total stars rank18,950
Previous total stars rank18,922
Total stars rank change-28
README summary

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.

Frequently asked questions

How many stars and forks are recorded?

DeepGenX/CodeGenX has 514 stars and 41 forks.

What is the repository rank?

DeepGenX/CodeGenX is ranked 17,983.

What language and category are recorded?

DeepGenX/CodeGenX has 514 stars, uses JavaScript and belongs to Applications.

Which repository is closest in rank?

DeepGenX/CodeGenX is compared with ChintanTrivedi/DeepGamingAI_FIFA, ranked 17,982 with 514 stars.

README

CodeGenX

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:

  1. Tensorflow
  2. Pytorch
  3. Scikit-Learn
  4. Pandas
  5. NumPy
  6. OpenCV
  7. Django
  8. Flask
  9. 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:


Arya Manjaramkar


Matthias Wijnsma


Thomas Houtrique


Dominic Rampas


Bilel Medimegh


Josh Hills


Alex


Tiimo

Acknowledgements

Many thanks to the support of the Google TPU Research Cloud for providing the precious compute needed for this project.

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