CodeGenX
hash
| CodeGenX | hash | |
|---|---|---|
| 7 | 7 | |
| 511 | 951 | |
| 0.0% | 1.4% | |
| 2.6 | 9.9 | |
| almost 2 years ago | 4 days ago | |
| JavaScript | TypeScript | |
| Mozilla Public License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
CodeGenX
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Top OpenAI Tools, Examples & Use Cases
GitHub link: https://github.com/DeepGenX/CodeGenX
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[P] CodeParrot 🦜: Train your own CoPilot from scratch!
Looks good, I am currently working on a similar open-source project called CodeGenX. Its a fine-tuned version of GPT-J. Can I ask how long this took to train, and what hardware was used?
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CodeGenX, a code generation system powered by GPT-J
Hey Everyone!
We are delighted to announce the first version of CodeGenX. CodeGenX is a free and open-source code-generation system (similiar to Github Copilot) powered by a fine-tuned version of GPT-J.
You can find details for installation and instruction on usage here: https://docs.deepgenx.com. Our GitHub repository can be found here: https://github.com/DeepGenX/CodeGenX.
I think it is important to identify what CodeGenX can and cannot do, so we know what to expect. We have found that CodeGenX works well for common use cases which occur repeatedly in the training set. It understands context and outputs code with similar formatting to your previous code using the appropriate variables. But it does not shine in places where logical or mathematical computations are needed. This does not mean that it doesn't understand any logic or math, but just a weak point of the model.
Here are some links that have additional information:
Website: https://deepgenx.com
- CodeGenX, Another Open Source Alternative to GitHub Copilot
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CodeGenX, an open-source GitHub Copilot alternative
CodeGenX is an extension that will help you write your code better and faster, it uses a fine-tuned version of GPT-J to generate code that's readable and efficient. You can find more details and a guide on how to use CodeGenX on our website, if you're interested in the source code, you can take a look at the github repo. If you have any questions or feedback, you can contact us via discord or by replying to this post.
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CodeGenX, A code generation system powered by GPT-J!
You can find details for installation and instruction on usage here: https://docs.deepgenx.com. Our GitHub repository can be found here: https://github.com/DeepGenX/CodeGenX.
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Looking for a volunteer for some help on the website of an Open-Source Project.
Hope you're doing well. We (a group of volunteers) are currently working on an open-source project called CodeGenX. The project is a code generation extension for VS Code (similar to GitHub Copilot) based on a custom fine-tuned version of GPT-J. The problem is that most of us working on the project are Machine Learning Engineers/Data Scientists and do not have much experience in webdev.
hash
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GAMA Platform: building spatially explicit agent-based simulations
The founders of stackoverflow also founded a similar project
https://github.com/hashintel/hash/tree/main/apps/engine
- Released error-stack v0.3.0
- Top OpenAI Tools, Examples & Use Cases
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How should I propagate my errors to include a custom message, an exit code, and the original error?
Check out error_stack, which allows attaching custom messages, preserves the original error, and allows exit codes
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Error Handling with error-stack
Feel free to ask me any questions on error-stack, either here or over at our repository!
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Announcing error-stack: a context-aware error library that supports arbitrary attached user data!
hashintel/hash#602
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