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  • University of Toronto

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maryamhgf/README.md

👋 Hi, I'm Maryam Haghifam!

👩🏻‍💻 I’m currently a Machine Learning Researcher.

🛠️ Library and Framework Analytics

Throughout my projects, I’ve worked with the following libraries and frameworks:

PyTorch TensorFlow Keras PyTorch Lightning CLIP

OpenCV YOLOv6 U-Net Meta SAM

PyTorch Geometric DGL

NumPy Pandas Matplotlib Seaborn

Scikit-learn Hugging Face Transformers

SQLAlchemy AWS

Graph RNN SMT Solvers

  • Machine Learning & Deep Learning:

    • PyTorch (including PyTorch Geometric)
    • TensorFlow
    • Keras
    • PyTorch Lightning
    • CLIP (Contrastive Language–Image Pretraining)

  • Computer Vision:

    • OpenCV
    • YOLOv6
    • U-Net
    • Meta's Segment Anything Model (SAM)

  • Graph Neural Networks:

    • PyTorch Geometric
    • DGL (Deep Graph Library)

  • Data Science & Visualization:

    • NumPy
    • Pandas
    • Matplotlib
    • Seaborn

  • Deep Learning Utilities:

    • Scikit-learn
    • Hugging Face Transformers

  • Database & Cloud Services:

    • SQL (SQLAlchemy)
    • Amazon Web Services (AWS)

  • Other Tools:

    • Graph RNN
    • SMT Solvers

📊 GitHub Language Analytics

Here’s a breakdown of the languages I’ve worked with across my projects:

Top Languages

📫 Contact Me

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  1. Decryption Decryption Public

    This program will decrypt ciphertexts.

    Python

  2. Ensemble-Classification Ensemble-Classification Public

    Ensamble Classification in C++ for preprocessed data in .csv file.

    C++ 3

  3. News-Classifier News-Classifier Public

    Classification of News using naive-bayes classifier

    Python

  4. Searching-Ambulance Searching-Ambulance Public

    Implementation of BFS, IDS, and A* algorithms in a searching problem.

    Python

  5. UTrello UTrello Public

    UTrello (UT + Trello)

    C++ 2

  6. Optimized-Routing Optimized-Routing Public

    Implementation of optimized routing between two points of a region

    Python 2