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Owen Bradley's Projects

confusion-scheme-learning icon confusion-scheme-learning

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.

finitesizescaling.jl icon finitesizescaling.jl

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

isingtransition icon isingtransition

Monte Carlo simulation of Ising model, and training a CNN in PyTorch to classify snapshot images. Comparison with binary classification algorithms in scikit-learn.

kaggle-bike-sharing-prediction icon kaggle-bike-sharing-prediction

Kaggle competition: predicting bikeshare demand with regression techniques. Linear/Lasso/Ridge Regression, KNN, Decision Tree, Random Forest, AdaBoost, XGBoost.

kaggle-cassava-leaf-classification icon kaggle-cassava-leaf-classification

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

kaggle-forest-cover-prediction icon kaggle-forest-cover-prediction

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

kitaev_clusters icon kitaev_clusters

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

pytorch-classification icon pytorch-classification

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

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