AvinashBuilding a Binary Search Tree from scratchImplementation of Binary Search Tree in python with heuristic explanations for each step5 min read·Feb 17, 2024--1--1
AvinashSegment Anything Model (SAM) by Meta — ExplainedA first attempt at a foundation model for computer vision4 min read·Apr 7, 2023--1--1
AvinashLLMs for dummies — Understanding Large Language Models GPT, BERT, T5LLMs, true to their name, are large models trained on huge text corpus in a self supervised manner so that it develops a general…4 min read·Feb 7, 2023----
AvinashWriting a custom operator in TFLite — GPUPorting your model with a custom operator to TFLite and running it on your mobile gpu just got easier.3 min read·May 8, 2022----
AvinashIntuition for concepts in TransformersRead this before reading “attention is all you need” paper6 min read·Oct 18, 2021----
AvinashinThe StartupEfficientNet and EfficientDet ExplainedEfficientDet and EfficientNet are the latest object detection models from Google, that can scale depending on the use case.5 min read·Nov 23, 2020----
AvinashWtf is a ROC curve and how to use it?Understanding ROC and AUC for binary classification models5 min read·Aug 3, 2020--1--1
AvinashAutomatic Differentiation ExplainedHow Deep Learning libraries handle gradients3 min read·May 9, 2020----
AvinashinMac O’ClockGrand Central Dispatch: Threads vs Queues, Sync vs Async, Serial vs ConcurrentUnderstanding GCD’s difficult jargon3 min read·Apr 4, 2020----
AvinashThe inevitable assignment in your Deep learning class: Neural networks using only numpyComes in handy during interviews. For beginners and experts alike.3 min read·Dec 27, 2019----