Sunny's repositories

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AgileMapper

A zero-configuration, highly-configurable, unopinionated object mapper with viewable execution plans. Flattens, unflattens, deep clones, merges, updates and projects queries. .NET 3.5+ and .NET Standard 1.0+.

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applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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Audio-Classification-HF

Audio emotion recognition using Huggingface Library

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Auto-GPT

An experimental open-source attempt to make GPT-4 fully autonomous.

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awesome-ai-ml-dl

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

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BlogPosts

You will find all the samples from my blog posts in this repository

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caer

High-performance Vision library in Python. Scale your research, not boilerplate.

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coding-interview-university

A complete computer science study plan to become a software engineer.

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create-modular-angular-applications

This repo is the code for the article found on the developer.school website.

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deep-learning-wizard

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

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dotnet-dynamodb-single-table

Example of using single table design in DynamoDB using .net core

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fuel-consumption-end-to-end-ml

End to End Machine Learning Project on Fuel Consumption Prediction of 70s and 80s vehicles.

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gitignore

A collection of useful .gitignore templates

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GuardClauses

A simple package with guard clause extensions.

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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.

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learning

Becoming better at data science every day

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MadeWithML

Learn how to responsibly deliver value with ML.

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ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

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ML-foundations

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

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opencv-course

Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.

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pandas-workshop

A 3-hour introductory workshop on pandas with notebooks and exercises for following along.

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pycon-pandas-tutorial

PyCon 2015 Pandas tutorial materials

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python-cheatsheet

Basic Cheat Sheet for Python (PDF, Markdown and Jupyter Notebook)

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pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.

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simplefolio

⚡️ A minimal portfolio template for Developers

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yt-dlp

A youtube-dl fork with additional features and fixes

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