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1. MPhil_ThesisMPhil_ThesisPublic

   My Thesis/Dissertation for the MPhil Data Intensive Science, in which I researched Scaling Laws of Neural Networks. This involved independently reproducing a paper on the topic and extending its fi…

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2. M2_CourseworkM2_CourseworkPublic

   This repository contains code for fine-tuning LLMs (Qwen2.5) for time-series data via Low-Rank Adaptation (LoRA). For details, see research_papers/M2_coursework.pdf

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3. C1_CourseworkC1_CourseworkPublic

   A Python package designed to perform automatic differentiation using dual numbers.

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4. Image_AnalysisImage_AnalysisPublic

   Applying a range of classical and ML techniques on a collection of butterfly images.

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5. S2_CourseworkS2_CourseworkPublic

   Predicting the number of holes in the Antikythera calendar ring, comparing Bayesian techniques with a maximum likelihood approach.

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6. M1_CourseworkM1_CourseworkPublic

   In this project, I build ML inference pipeline to add two MNIST digits together in TensorFlow.

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