Siddharth's repositories
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
library
📚 Collection of various guides, books and papers.
Machine-Learning-Pre-Requisites
Mathematics, statistics and programming pre-requisite resources I used to dive into ML.
Machine-Learning-Projects
Covers an extensive range of ML topics I have worked on over the past few years.
Advanced-Topics-in-Machine-Learning
Probabilistic learning, Bayesian inference, and kernel based methods.
Dynamic-Stochastic-General-Equilibrium-Models
Modelling effects of monetary and technology shock over time on different aspects of the economy.
emukit
A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
PRML
PRML algorithms implemented in Python
Neural_Differential_Equations
This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube
opera
Online Prediction by ExpeRt Aggregation