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1. Machine-Learning-Projects Machine-Learning-Projects Public

   Covers an extensive range of ML topics I have worked on over the past few years.

   Jupyter Notebook 5

2. Advanced-Topics-in-Machine-Learning Advanced-Topics-in-Machine-Learning Public

   Probabilistic learning, Bayesian inference, and kernel based methods.

   MATLAB

3. Dynamic-Stochastic-General-Equilibrium-Models Dynamic-Stochastic-General-Equilibrium-Models Public

   Modelling effects of monetary and technology shock over time on different aspects of the economy.

   MATLAB

4. Machine-Learning-Pre-Requisites Machine-Learning-Pre-Requisites Public

   Mathematics, statistics and programming pre-requisite resources I used to dive into ML.

   Jupyter Notebook

5. Neural_Differential_Equations Neural_Differential_Equations Public

   Forked from llSourcell/Neural_Differential_Equations

   This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube

   Jupyter Notebook

6. nanoGPT nanoGPT Public

   Forked from karpathy/nanoGPT

   The simplest, fastest repository for training/finetuning medium-sized GPTs.

   Jupyter Notebook