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Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Pull SharkAchievement: YOLO

Achievements

Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Pull SharkAchievement: YOLO

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prakashknaikade/README.md
  • 👋 Hi, I’m Prakash Naikade
  • 👀 My research interests span in the broad areas of Neural Rendering, Radiance Field Methods, Novel View Synthesis, Motion Capture, 3D-Reconstruction, Digital Twins, AR/VR, Generative AI, LLMs, and generally Computer Vision, Computer Graphics, Deep/Machine Learning, HCI & Data Science, to solve the real world problems with impactful AI aided solutions.
  • 👨‍💻 I generally explore different Deep Learning Techniques used in various Computer Vision and GenAI Problems.
  • 🌱 Currently driving XRAI4AEC towards sustainability.

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  1. Awesome-XRAI-for-Architecture Awesome-XRAI-for-Architecture Public

    A curated collection of research papers and other resources focused on XR and AI for Architecture and related technologies.

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  2. 3D_CV_DL_Basics 3D_CV_DL_Basics Public

    Jupyter Notebook 1

  3. Adversarial-Reinforcement-Learning-Key-Research-Papers Adversarial-Reinforcement-Learning-Key-Research-Papers Public

    The repo provides an summary/overview of key recent research papers in Adversarial Reinforcement Learning (RL).