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1 follower · 8 following
  • Carnegie Mellon University
  • Pittsburgh - USA
  • 08:39 (UTC -05:00)

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Achievement: QuickdrawAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

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xxiMiaxx/README.md

Hi there 👋

  • I’m @xxiMiaxx, an AI and Computer Vision researcher pursuing my Master’s in Computer Vision at Carnegie Mellon University.

  • 🔭 My current research interests include:

    1️⃣ Generative Models: visual generation/editing, visual autoregressive models, and visual generation alignment;

    2️⃣ Representation Learning: video understanding, visual relation detection (HOI detection/scene graph generation);

    3️⃣ AI for Science and Engineering: high-fidelity simulations combining physics, computer graphics, and machine learning to model fluids, soft bodies, and granular materials;

    4️⃣ Robotics and Autonomous Systems: path planning, sensor integration, autonomous navigation, and ROS development.

  • 📫 For collaborations, you can reach me at: [email protected]

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  1. Analyze-A-B-Test-Results Analyze-A-B-Test-Results Public

    Udacity data analyst ND project for A/B testing

    HTML

  2. Communicate-Data-Findings Communicate-Data-Findings Public

    use Python’s data visualization tools to systematically explore a selected dataset for its properties and relationships between variables. Then, create a presentation that communicates the findings…

    HTML

  3. Covid19model-1.0 Covid19model-1.0 Public

    R

  4. deep-learning-v2-pytorch deep-learning-v2-pytorch Public

    Forked from udacity/deep-learning-v2-pytorch

    Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

    Jupyter Notebook

  5. DeepLearningFlappyBird DeepLearningFlappyBird Public

    Forked from yenchenlin/DeepLearningFlappyBird

    Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

    Python

  6. deeptraffic deeptraffic Public

    Forked from lexfridman/deeptraffic

    DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

    JavaScript