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  1. FiniteSizeScaling.jl FiniteSizeScaling.jl Public

    FiniteSizeScaling.jl: A Julia data analysis package for finding optimized values of phase transition parameters and critical exponents.

    Julia 2

  2. kitaev_clusters kitaev_clusters Public

    kitaev_clusters: Python package for Exact Diagonalization of the Kitaev honeycomb model. Efficient construction and diagonalization of extremely large sparse matrix Hamiltonians.

    Python 1

  3. Kaggle-Cassava-Leaf-Classification Kaggle-Cassava-Leaf-Classification Public

    Kaggle competition: classifying Cassava leaf diseases from crowdsourced photographs. Finetuned ResNet-152 model implemented in PyTorch, with image augmentations performed using Albumentations library.

    Jupyter Notebook 1

  4. Kaggle-Forest-Cover-Prediction Kaggle-Forest-Cover-Prediction Public

    Kaggle competition: predicting forest cover type with multiclass classification algorithms. Logistic Regression, SVC, KNN, Decision Tree, Random Forest, XGBoost, AdaBoost, LightGBM, & Extra Trees.

    Jupyter Notebook 1

  5. PyTorch-Classification PyTorch-Classification Public

    Implementing neural networks in PyTorch: Smile detection in the CelebA photo dataset with CNN, and recognizing digits from MNIST dataset.

    Jupyter Notebook 1

  6. Confusion-Scheme-Learning Confusion-Scheme-Learning Public

    Detecting phase transitions from Quantum Monte Carlo datasets using the "learning by confusion" (LbC) technique. Training CNNs in PyTorch to classify phases of matter in an electron-phonon model.

    Jupyter Notebook 2 1