Garbage Collection in Python
Published:
In this blog we understand how Garbage collection is done in Python
Blog posts
2024
Understanding CAP theorem
Published:
What is CAP theorem?
How do Load balancer work?
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How Do Different Kinds of load balancer work, and How do they route requests?
2023
What is Interpretable AI?
Published:
My understanding to Interpretable AI
Why am I doing a diploma in Philosophy?
Published:
Why am I doing a diploma in Philosophy, And how is it going to help my career?
Managing Infrastructure using Kubernetes
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Understanding how Infrastructure is managed using Kubernetes
What is Reinforcement Learning with Human Feedback?
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What is Reinforcement Learning with Human Feedback and how it’s used in ChatGPT?
What is Protobuf?
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What is Protobuf and it’s advantages?
2022
What is Content Delivery Network and working of Live stream?
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What is CDN and How it is used in Live streaming?
Understand Redis
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Understand the working of Redis
How to compile videos using ffmpeg
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This blog explains how images can be stiched together to compile a video using ffmpeg.
How we saved over million dollars by batching SQS messages?
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This blog explains how we batched SQS messages to reduce our costs.
What is Chunked Encoding
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This blog explains what is Chunked Encoding and where we can use it.
Memory Management in Rust
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How does Memory management work in Rust?
What are Transformers?
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What are Transformers and a use case
Rust vs Golang
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This blog compares Rust and Golang.
2021
Why am I moving to UK?
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This blog explains my decision to quit Zomato and joining Amazon Cambridge.
How we used GPS pings to improve Map data
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This blog explains how we used GPS pings to improve OpenStreetMap data in Tier-2 cities in India.
2020
Stochastic Gradient Descent and it’s variants
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In this article, we’ll cover gradient descent algorithm and its variants: Batch Gradient Descent, Mini-batch Gradient Descent, and Stochastic Gradient Descent.
Image Filters
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This blog discusses some popular image filtering techniques.
How to convert Pytorch model to CoreML
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In this article, I will discuss how to convert model to a deployable format
How to try and stabalize GAN training
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In this article, I will provide multiple solutions to some of the issues faced during GAN training.
Paper Summary - A Style-Based Generator Architecture for Generative Adversarial Networks
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In this article, I try to explain the architecture of StyleGAN
What is Internal Covariate Shift?
Published:
This blog explains what is Internal covariate shift and the role of Batch Normalization in reducing it.
How we built a drone to measure AQI
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This blog explains how we built a low-cost drone to create a local AQI map.
2019
A Global sampling method for Alpha Matting
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In this article, I will try and Understand how a global sampling method is used for Alpha matting
Understanding AlphaGAN matting
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In this article, we will explore how Generative Adversial Networks can be used for Natural Image Matting.