My Blog

Sharing the things I am learning along the way

Polynomial Curve Fitting and doing Linear Regression from Scratch (!! Four ways to Solve a Least Squares Problem)

foundation

bayesian

Linear Regression from PRML Example 1 from Chapter 1 Introdcution also inspired from gilbert strang’s lecture on Four ways to Solve a Least Squares Problem

Visualize Salincy Maps in Timm Models (ViT) using PyTorch Hooks!!

transformer

deep learning

computer vision

Tutorial code of how I Visualize Attention Maps and Feature Maps (Salieancy Maps) in PyTorch timm using PyTorch Hooks as timm does not provide attention intermediates

Understanding how EMA works?

deep learning

Understanding how EMA works with an simulation of a toy model with toy weights

Integrating Deep Supervision in Segmentation Models Pytorch (smp)?

computer vision

Tutorial code of how I integrated Deep Supervision Loss generation setup with Segmentation Models PyTorch Framework, which could be Directly us with Minimal changes

Thresholding using scikit image (part of my kaggle submission code)

computer vision

When the noise gets growing, you should get out of the noise . . . to get a clear picture of what’s happening in your Image.

Start with Transformers for Beginners

transformer

NLP

We Learnt — What is Attention, Encoder + Decoder in RNNs, Attention in RNNs. Now we get to what is Self -Attention?

Language is Not a formal System, Language is glorious Chaos - Chris Manning (cs224n)

NLP

following the course Stanford CS224n and more . . . Take it as notes or tutorial, all credits to CS224n for this content I just mixed my understanding with my previous readings and intutions