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Aayush Agrawal

Meta MLE Interview Preparation Guide

A collection of resources while preparing for MLE interviews at Meta or other big tech companies.

Dec 16, 2024

Meta MLE Interview Preparation Guide

Dec 16, 2024

privateGPT walkthrough: Creating your own offline GPT Q&A system

A code walkthrough of privateGPT repo on how to build your own offline GPT Q&A system.

May 26, 2023

privateGPT walkthrough: Creating your own offline GPT Q&A system

May 26, 2023

Published in

Data Science at Microsoft

Model calibration for classification tasks using Python

A hands-on introduction to model calibration using Python

Jan 10, 2023

Model calibration for classification tasks using Python

Jan 10, 2023

Python OOPs fundamentals

An introduction to Object Oriented programming using Python

Dec 27, 2022

Python OOPs fundamentals

Dec 27, 2022

Published in

TDS Archive

Stable diffusion using 🤗 Hugging Face — DiffEdit paper implementation

An implementation of DIFFEDIT: DIFFUSION-BASED SEMANTIC IMAGE EDITING WITH MASK GUIDANCE using 🤗 hugging face diffusers library.

Nov 23, 2022

Stable diffusion using 🤗 Hugging Face — DiffEdit paper implementation

Nov 23, 2022

Published in

TDS Archive

Stable diffusion using 🤗 Hugging Face — Variations of Stable Diffusion

An introduction to negative prompting and image to image stable diffusion pipeline using 🤗 hugging face diffusers library.

Nov 15, 2022

Stable diffusion using 🤗 Hugging Face — Variations of Stable Diffusion

Nov 15, 2022

Published in

TDS Archive

Stable diffusion using 🤗 Hugging Face

A comprehensive introduction to the world of Stable diffusion using 🤗 hugging face — Diffusers library for creating AI-generated images…

Nov 9, 2022

Stable diffusion using 🤗 Hugging Face

Nov 9, 2022

Published in

TDS Archive

Mixing Art into the Science of Model Explainability

Overview on Explainable Boosting Machine and an approach for converting ML explanation to more human-friendly explanation.

Sep 27, 2022

Mixing Art into the Science of Model Explainability

Sep 27, 2022

Published in

TDS Archive

Causal inference with Synthetic Control using Python and SparseSC

Understanding Synthetic Control and using Microsoft’s SparceSC package to run synthetic control on larger datasets.

Sep 20, 2022

Causal inference with Synthetic Control using Python and SparseSC

Sep 20, 2022

Published in

TDS Archive

Finding similar images using Deep learning and Locality Sensitive Hashing

A simple walkthrough on finding similar images through image embedding by a ResNet 34 using FastAI & Pytorch. Also doing fast semantic…

Mar 17, 2019

Finding similar images using Deep learning and Locality Sensitive Hashing

Mar 17, 2019

Aayush Agrawal

Aayush Agrawal

Experienced data scientist. Passionate about solving interesting problems with data. All views are my own unless you share them. More on

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