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Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

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@OpenGenus @AI-Unreal-Hiring @neurobridgetech

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Garvit-k/README.md

💫 About Me:

Hi there! I'm Garvit Kothari, the CEO and Co-Founder of Neurobridge Tech. We're on a mission to innovate and create impactful tech solutions. Currently, I'm focused on building the Chanakya App and Minsky. I am passionate about leveraging AI and machine learning to solve real-world problems.

🌐 Connect with Me:

LinkedIn X

💻 Tech Stack:

Cloud Platforms:

AWS Azure Google Cloud DigitalOcean Linode

Web & App Development:

Django Flask FastAPI Flutter

Programming Languages:

Python C C++ Dart Java JavaScript

DevOps & Tools:

Docker Kubernetes GitHub Actions Jenkins Nginx

Databases:

Postgres MySQL Redis SQLite Supabase MongoDB

Machine Learning & Data Science:

TensorFlow Keras PyTorch scikit-learn Pandas NumPy Matplotlib OpenCV

Other Tools:

Adobe Photoshop Adobe After Effects Adobe Premiere Pro Canva Notion Jira Trello Swagger Postman Prezi Raspberry Pi

📊 GitHub Stats:

🏆 GitHub Trophies

✍️ Dev Quote

🔝 Top Contributed Repo

😂 Dev Meme

Profile Views

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  1. currency_convertor currency_convertor Public

    Dart 1

  2. Unet-segmetation Unet-segmetation Public

    Jupyter Notebook

  3. flower-classifier flower-classifier Public

    Flower Classification into 5 classes : daisy, dandelion, rose, sunflower & tulip using keras library

    Jupyter Notebook 2 1

  4. dimenet dimenet Public

    Forked from gasteigerjo/dimenet

    DimeNet and DimeNet++ models, as proposed in "Directional Message Passing for Molecular Graphs" (ICLR 2020) and "Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules…

    Python

  5. neural-style-transfer neural-style-transfer Public

    Neural Style Transfer based on TensorFlow Implementation

    Jupyter Notebook

  6. pdf-from-image pdf-from-image Public

    Python