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Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: YOLOAchievement: Quickdraw

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@IVUL-KAUST

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drishyakarki/README.md

💫 About Me:

🔭 I work at the intersection of Video Understanding, Deep Learning and Efficient Model Design.
🎯 Currently focused on spatiotemporal learning, action recognition and representation learning from video data.
💬 Feel free to hit me up if you want to talk shop, collaborate or just share cool ideas.

🌐 Socials:

LinkedIn Medium Instagram Facebook

💻 Tech Stack:

Python C++ Git GitHub Linux CMake PyTorch scikit-learn NumPy Pandas SciPy Matplotlib Flask FastAPI Notion

📊 GitHub Stats:



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  1. SoccerNet/SoccerNet SoccerNet/SoccerNet Public

    Python 31 9

  2. OpenSportsLab/OSL-ActionSpotting OpenSportsLab/OSL-ActionSpotting Public

    Python 24 4

  3. football_tools football_tools Public

    Nothing fancy, just practical code I need frequently for soccer analytics and visualization purposes. Will be updated with new functionalities as needed.

    Python

  4. newari-english-bilingual-Translation newari-english-bilingual-Translation Public

    Jupyter Notebook 1

  5. 7amba 7amba Public

    Finetuning script and data preprocessing script for pretrained mamba language model

    Python 1

  6. MicroGrad MicroGrad Public

    Micrograd is a minimalistic deep learning library implemented in python, providing automatic differentiation capabilities for building and training neural networks.

    Python 1