Kartikeya’s Musings - Blog

Building littlegrad Part 2

Deep Learning

In Part 1 we created a full-fledged autograd engine from the ground up. In this part, we will build and train our own little neural network by utilising the autograd engine.

Kartikeya Khare

Building littlegrad Part 1

Deep Learning

Building a light-weight autograd engine. Inspired by Karpathy’s micrograd library.

Kartikeya Khare

Neural Style Transfer

Deep Learning

Generative AI

Style transfer is a technique where the visual style of an image is transferred onto the content of another image. The goal is to generate a new image that preserves the…

Kartikeya Khare

Denoising Diffusion Probabilistic Models

Deep Learning

Generative AI

Diffusion

Implementing the famous “Denoising Diffusion Probabilistic Models” paper which caused the spark that resulted in the fire of image generation models that we see and use today.

Kartikeya Khare

Convolutional Neural Networks from Scratch

Deep Learning

Computer Vision

Building our own Convolutional Neural Network from scratch.

Kartikeya Khare

Building Stable Diffusion from its Components

Deep Learning

Generative AI

Diffusion

A code-first introduction to Stable Diffusion using the Diffusers library.

Kartikeya Khare