dhruv's space

Looking back at a year of open source, career changes, and the rise of AI agents.

How I stay on top of the never-ending cycle of dependency updates for my projects.

Adding support for feature previews for a front-end application

Getting more visibility in what software you're shipping as a team

Getting pytest results into Neovim's quickfix list

Lecture notes on disjoint sets and the problem of dynamic connectivity.

Lecture notes on Binary Search Trees.

This is the fourth post in this series on the basics of Machine Learning.

This is the third post in this series on the basics of Machine Learning.

This is the second post in this series on the basics of Machine Learning.

This is the first post in this series on the basics of Machine Learning.

Naval Ravikant recently made an appearance on The Joe Rogan Experience.

Understanding the A star algorithm

Summary notes for Bayes' theorem

Understanding workings of convnets by visualizing inputs that maximally activate individual feature maps of a ResNet-34.

Generating artistic images using Neural Style Transfer and fastai

Part 4 of series on object detection.

Part 3 of series on object detection.

Part 2 of series on object detection.

Part 1 of series on object detection.

Evolution of Grad-CAM heat-maps along a ResNet-34

Generating class discriminative heat-maps using Grad-CAM.

Understanding ResNets.

Word Embeddings and RNNs

Summary Notes on GRU and LSTMs

Summary Notes on Recurrent Neural Networks

Visualizing Optimisation Algorithms

Summary Notes on Recurrent Neural Networks

Summary Notes for forward and back propagation

Writing a decision tree from scratch

Booking Wonder Woman tickets with a twist