A root repository linking to a series of repositories that showcase my implementations of standard machine-learning problems
Retrieval-Augmented Generation Galaxy_Rag_Project
Flow-Matching implementation, 3 branches: non-conditional MNIST, conditonal MNIST, conditional NYU_Depth UNet_FM
GNNs for Dark Matter Density Profile trained on High-Resolution Cosmological Hydrodynamical Galaxy Simulations GNN_Galaxy_Profiles
Score-Based Diffusion for 2D Dark Matter Density trained on High-Resolution Cosmological Hydrodynamical Galaxy Simulations Diffusion_DM_2d
Normalizing Flows tutorial: Normalizing_Flows
CNN for Image classification: Image_Classifier_CNN
Time-Series prediction with LSTMs: Time_Series_Prediction
NLP classification: NLP_Classifier
Domain Adversarial Neural Networks: DANN
Neural-NBA: predicting NBA game outcomes: NNBA