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1. Random-Sampling-Methods-for-Low-Rank-Approximation Random-Sampling-Methods-for-Low-Rank-Approximation Public

   On Random Sampling Methods for Low-Rank Matrix Approximation. Note: this is expository work

   MATLAB 2

2. Temporal-Coding-of-Nonspatial-Sequences Temporal-Coding-of-Nonspatial-Sequences Public

   Outdated as of Aug 2024 - Currently continuing research under Fortin Lab @ UCI Center for Neurobiology of Learning and Memory

3. Approaches-to-Randomized-Kaczmarz-for-Ill-Conditioned-Systems- Approaches-to-Randomized-Kaczmarz-for-Ill-Conditioned-Systems- Public

   Evaluating several new approaches to improve convergence of Randomized Kaczmarz (RK) for consistent ill-conditioned systems. This project explores the availability of convergence information among …

   MATLAB

4. Introduction-to-Tensor-Methods-for-Computational-Efficiency Introduction-to-Tensor-Methods-for-Computational-Efficiency Public

   Expository Research Paper - Nov. 2024

5. Generative-Adversarial-and-Low-Rank-Adaptation-LoRA-Networks-for-Replicating-Art-Styles Generative-Adversarial-and-Low-Rank-Adaptation-LoRA-Networks-for-Replicating-Art-Styles Public

   Project in Generative Deep Learning and Neural Networks from June 2024

   Jupyter Notebook

6. Evaluation-of-Principal-Component-Analysis-PCA-for-different-Classification-Models Evaluation-of-Principal-Component-Analysis-PCA-for-different-Classification-Models Public

   This project extends the analysis of a tutorial to evaluate the effectiveness of principal component analysis as a dimensionality reduction technique on the accuracy of different classification mod…

   Jupyter Notebook