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lyelibi/README.md
  • ๐Ÿ‘‹ Hi, Iโ€™m @lyelibi
  • ๐Ÿ‘€ Iโ€™m interested in Machine Learning more precisely unsupervised learning (data clustering and dimensionality reduction). Complexity Sciences, Networks, Agent-Based Models.
  • ๐ŸŒฑ Iโ€™m currently learning about all of the above, it's a never ending journey.
  • ๐Ÿ’ž๏ธ Iโ€™m looking to collaborate on all of the above.
  • ๐Ÿ“ซ How to reach me: Reach out to me on linkedin

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  1. potts-model-clustering potts-model-clustering Public

    Super-Paramagnetic Clustering, Maximum entropy, Maximum Likelihood Methods.

    Python 12 2

  2. ALC ALC Public

    Agglomerative Likelihood Clustering

    Python 1

  3. risk_parity risk_parity Public

    Replication Study: Hierarchical Risk Parity, with synthetic correlation matrices, and alternatively on real data with Agglomerative Likelihood Clustering

    Python 2

  4. convnet convnet Public

    implementation of a convolutional neural network using pytorch to perform classification on mnist

    Python

  5. autoencoders autoencoders Public

    Implementations of a autoencoder, convolutional autoencoder, variational autoencoder, and convolutional variational autoencoder using Pytorch to perform image reconstruction on MNIST.

    Python 2

  6. flocking flocking Public

    Replication studies: Agent-Based model: Bird flocking, Vicsek model Simulation.

    Python 1