PinnedAadhithya SankarinTowards Data Sciencerajini++: The Superstar Programming LanguageIntroducing rajini++, an esoteric programming language based on the dialogues of superstar Rajinikanth. The syntax and keywords used in…4 min read·May 17, 2022--24--24
Aadhithya SankarCreate your own programming in 10 minutes!Ever wanted to create your own esolang? With the rajiniPP project you can create one in less than 10 minutes!!!7 min read·Jul 15, 2022----
Aadhithya SankarinTowards Data ScienceDemystified: Wasserstein GAN with Gradient PenaltyWhy is Gradient Penalty better than gradient clipping? What is Gradient Penalty and how do we implement it?5 min read·Oct 2, 2021----
Aadhithya SankarinTowards Data SciencePrincipal Component Analysis Part 1: The Different Formulations.What is Principal Component Analysis? What are the Maximum Variance and Minimum Error formulations of PCA? How do we reduce dimensionality…9 min read·Sep 29, 2021--2--2
Aadhithya SankarinTowards Data ScienceReal-time Artwork Generation using Deep LearningAdaptive Instance Normalisation(AdaIN) for Style Transfer between any arbitrary content-style image pair.6 min read·Sep 25, 2021--1--1
Aadhithya SankarinTowards Data ScienceLearning Disentangled Representations with Invertible(Flow-based) Interpretation NetworksWhat are disentangled representations?7 min read·Sep 18, 2021--1--1
Aadhithya SankarinTowards Data ScienceDemystified: Wasserstein GANs (WGAN)What is the Wasserstein distance? What is the intuition behind using Wasserstein distance to train GANs? How is it implemented?5 min read·Sep 17, 2021----
Aadhithya SankarinTowards Data ScienceA Primer on Atrous Convolutions and Depth-wise Separable ConvolutionsWhat are atrous/dilated and depth-wise separable convolutions? How are the different from standard convolutions? What are their uses?5 min read·Sep 15, 2021--1--1