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Learning
👨‍💻
Learning
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anirudh6415/README.md

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A passionate Deep Learning developer

  • 🔭 Recent graduate in Robotics and Autonomous Systems, specializing in Artificial Intelligence from Arizona State University.
  • 👯 I design, architect, and implement machine learning and data science projects in my day job.
  • 🤝 I'm open to collaborating on exciting ideas, particularly on NLP, Machine Learning, and Computer Vision projects.
  • 👨‍💻 All of my projects are available at my portfolio.

💬 Let's Connect:

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💻 Tech Stack:

aws bash c cplusplus css3 docker git html5 jenkins kubernetes linux mssql mysql opencv pandas python pytorch scikit_learn seaborn tensorflow

🏆 GitHub Trophies:

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📊 GitHub Stats:
anirudh6415 Anirudh's GitHub stats

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  1. TABARD-code TABARD-code Public

    Forked from TABARD-emnlp-2025/TABARD-code

    A Novel Benchmark for Tabular Anomaly Analysis, Reasoning and Detection

    Python

  2. TABARD-dataset TABARD-dataset Public

    Forked from TABARD-emnlp-2025/TABARD-dataset

    TABARD is a large-scale benchmark for evaluating the ability of large language models (LLMs) to detect, reason over, and explain fine-grained anomalies in tabular data.

  3. AI-Hotel-Reservation-System AI-Hotel-Reservation-System Public

    A machine learning-based hotel booking prediction system that leverages LightGBM for classification and MLflow for model tracking. The system is containerized using Docker and deployed on Google Cl…

    Jupyter Notebook

  4. anime_recomendation_system anime_recomendation_system Public

    A hybrid anime recommendation system that combines user preferences and content-based filtering for personalized recommendations. The system is containerized using Docker and deployed on Google Clo…

    Jupyter Notebook

  5. GuidedDistillation GuidedDistillation Public

    Forked from facebookresearch/GuidedDistillation

    Official implementation of the paper "Guided Distillation for Semi-Supervised Instance Segmentation".

    Python

  6. AnyNet AnyNet Public

    This is a Modified repository, it is based on the original "Anytime Stereo Image Depth Estimation on Mobile Devices" by Yan Wang, Zihang Lai, Gao Huang, Brian Wang, Laurens van der Maaten, Mark Cam…

    Jupyter Notebook 1