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  • šŸ”­ Iā€™m currently working on building RAG app with Graph Networks
  • šŸŒ± Iā€™m currently learning NLP and IR
  • šŸ‘Æ Iā€™m looking to collaborate on building AI/ML products

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hurshd0

Hursh Desai's Projects

deeplearning.ai-summary icon deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

dl-workshop-series icon dl-workshop-series

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

ds icon ds

ETL pipeline + Saltiness Scores

ds-work icon ds-work

This repo contains all DS related work

dvc.org icon dvc.org

šŸ”— DVC website and documentation

easyocr icon easyocr

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

examples icon examples

A repository to host extended examples and tutorials

getcards icon getcards

Notebook to download machine learning flashcards

ghost-cms icon ghost-cms

Clean Ghost CMS + Docker (development & production)

gpt-code-clippy icon gpt-code-clippy

Full description can be found here: https://discuss.huggingface.co/t/pretrain-gpt-neo-for-open-source-github-copilot-model/7678?u=ncoop57

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hearst_patterns icon hearst_patterns

Implementation of Hearst patterns for finding hypernym/hyponym pairs using Spacy in Python.

home-media-server icon home-media-server

A collection of docker-compose files and best practices used to create self-hosted services like Plex, Nextcloud, Bitwarde on VPS.

iclr-cv4a-challenge1 icon iclr-cv4a-challenge1

ICLR Computer Vision for Agriculture Workshop - The CGIAR Wheat Rust Detection Challenge

jupyter_notebook_on_aws icon jupyter_notebook_on_aws

Learn how to deploy Jupyter Notebook server on AWS EC2 that is scalable and accessible via VSCode Remote Extension

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