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1. FiniteSizeScaling.jlFiniteSizeScaling.jlPublic

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

   Julia 2

2. kitaev_clusterskitaev_clustersPublic

   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-ClassificationKaggle-Cassava-Leaf-ClassificationPublic

   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-PredictionKaggle-Forest-Cover-PredictionPublic

   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 2

5. PyTorch-ClassificationPyTorch-ClassificationPublic

   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-LearningConfusion-Scheme-LearningPublic

   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 3 1