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maryamdaniali/README.md
  • 👋 Hi there! I’m @maryamdaniali
  • 👀 I’m interested in machine learning models that are robust to bias and out-of-distribution
  • 🌱 I’m currently learning graph embeddings and graph neural networks
  • 📫 This is my website. Feel free to reach out to me via maryam DOT daniali AT drexel DOT edu

Popular repositories Loading

  1. TimeSeries-VAE-Anomaly-Detection TimeSeries-VAE-Anomaly-Detection Public

    Sample code for anomaly detection using autoencoder neural networks (LSTM auto-encoder and LSTM VAE) on time series data.

    Python 5

  2. phenotype_embedding phenotype_embedding Public

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  3. CS530-Developing-User-Interfaces CS530-Developing-User-Interfaces Public

    A web-based recipe advisor!

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  4. NeuromatchAcademy NeuromatchAcademy Public

    NMA 2020 solved tutorials as well as the final project (classifying mice behavior & actual response based on its neural activities)

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  5. Face-detection-out-of-distribution Face-detection-out-of-distribution Public

    Challenging a standard CNN model in face detection out of distribution, ethnicity- and gender-bias test.

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  6. maryamdaniali maryamdaniali Public

    Config files for my GitHub profile.