Skip to content

Dharankumarp/1_-EMPTY

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation


Logo

Welcome to our GitHub repository featuring 50+ Python applications with only 10 lines of code! In this repository, you'll find a wide range of topics such as Machine Learning, Deep Learning, GUI, Computer Vision, and API development. Each application is designed to be simple and concise, making it easy to understand and modify. Whether you're a beginner or an experienced developer, these applications are perfect for learning and experimenting with Python. So dive in, explore, and have fun!

Additionally, we understand that sometimes code can be complex, which is why we've created video explanations for each project available on our YouTube channel. With these resources at your disposal, you can quickly gain a deep understanding of the code and easily customize it to suit your needs. Subscribe to the YouTube channel @qxresearch to receive updates on new projects! Which also enables you to join a community of like-minded Python enthusiasts and stay connected with a passionate group of learners and experts.



About Us : @qxresearch

qxresearch AI is a research lab focused on Machine Learning, Deep Learning, and Computer Vision. Our team aspires to make discoveries that hold a broad impact, and at the core of our approach lies the sharing of our findings in the field. Our researchers regularly publish in academic journals, release projects as open source on GitHub, and apply these findings in practical applications.

We are looking for passionate new PhD students, Postdocs, and Master students to join the team!

  • Follow us on LinkedIn for timely updates regarding new opportunities.
  • Kindly email us your research interests and proposal for consideration.
✔️ If you think this repository has helped you learn something new you can give a star ⭐ 
❌ If not, point out 'why' and spam the issue section 🚩 


Python Application


Machine Learning Applications

chatGPT

  • ✒️ email-automation : Tool to automate automate news briefing and blogging from custom senders (mail)
  • custom-chatbot : ask chatbot to do custom work on the bases of the task (eg. scriptwriter)
  • 📟 whisper-speech-text : OpenAI's another API to convert text from audio
  • ⚙️ finetuned-gpt : Train chatGPT on your custom data & ask queries from that data
  • 💠 voice-assistant : Voice assistant based on ChatGPT and WhisperAPI (Audio input & output)
  • 🐻 web-scraping-summarizer : This tool scrapes a given website and summarizes the main context
  • your-prespective : You can train ChatGPT to perceive things the way you do, and it will imitate you!
  • 📖 bhagavad-gita-gpt : A religious book which contains all the answers to find our purpose and to live it fully
  • 🏜 vector-databse : This is how you can send big text files to chatgpt and avoid the token limits

Setup

Refer to this setup video to install the dependencies and generate API keys and incorporate them with our applications. I've articulated the steps in text format here :

  • Install the dependencies following these steps :

    • Star this repository (top right corner)
    • <>Code > Download ZIP > Open cmd/terminal in that location
    • Run this command : pip install -r requirements.txt
    • Replace API keys in yml files

* The setup for different projects might not be the same. Please refer to the individual setup guides given for each project.


Contributing

Any kind of contributions to qxresearch-event-1 are welcome. Contributions are what make the open source community such an amazing place to learn, inspire, and create.

  1. Fork the Project
  2. Create your Feature Branch
  3. Commit your Changes
  4. Push to the Branch
  5. Open a Pull Request

Do you want to join @qxresearch and contribute to new projects?


trackgit-views

About

No description, website, or topics provided.

Resources

License

Code of conduct

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages