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Sidharth

Sidharth

Introduction to Autoencoders

Autoencoders are a type of neural network designed to learn an efficient representation of input data in an unsupervised manner. These…

May 25

Introduction to Autoencoders

May 25

Sidharth

KAN: Kolmogorov–Arnold Networks

Today, we will discuss something fascinating, three days before a paper released named KAN: Kolmogorov–Arnold Networks.

May 4

KAN: Kolmogorov–Arnold Networks

May 4

Sidharth

The Backpropagation

Have you ever wondered how neural networks learn? Do you know how they adapt their weights and biases to generate accurate predictions from…

May 3

The Backpropagation

May 3

Sidharth

Multi-Layer Perceptrons

Multi-layer perceptrons(MLPs) are a type of artificial neural network that can learn to perform complex tasks by analyzing data and…

May 3

Multi-Layer Perceptrons

May 3

Sidharth

Bayesian Regression with Hamiltonian Monte Carlo

Regression analysis is a workhorse of statistics. Business analysts predict sales trends, social scientists model human behavior, and…

Feb 18

Bayesian Regression with Hamiltonian Monte Carlo

Feb 18

Sidharth

Introduction to Gamma-Ray Data Analysis with GammaPy (Part-1)

Ever wondered how scientists unravel the secrets of the universe? Picture yourself as a cosmic detective, equipped not with a magnifying…

Dec 26, 2023

Introduction to Gamma-Ray Data Analysis with GammaPy (Part-1)

Dec 26, 2023

Sidharth

SWGO Layout optimization

Did you know outer space holds secrets like exploding stars, black hole jets, and interactions that create gamma rays? Like supercharged…

Dec 26, 2023

SWGO Layout optimization

Dec 26, 2023

Sidharth

Sidharth

It's a journey of perpetual discovery, where the destination is innovation itself. Github: https://github.com/sidhu2690

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