Muhammad Ahmad (muhammad-ahmad-baig)

muhammad-ahmad-baig

Geek Repo

Company:Information Technology University of the Punjab, Lahore

Location:Lahore, Pakistan

Home Page:linkedin.com/in/muhammad-ahmad-baig

Twitter:@AhmadBayg

Github PK Tool:Github PK Tool


Organizations
devSOFT-ITU

Muhammad Ahmad's repositories

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google-research

Google Research

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Practical-Machine-Learning

Coursera - Course Project of Practical Machine Learning

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self-driving-car

The Udacity open source self-driving car project

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30-Days-Of-Python

30 days of Python programming challenge is a step by step guide to learn the Python programming language in 30 days. This challenge may take up to 100 days, follow your own pace.

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chinook-database

Sample database for SQL Server, Oracle, MySQL, PostgreSQL, SQLite, DB2

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computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

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cs-video-courses

List of Computer Science courses with video lectures.

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data-science

:bar_chart: Path to a free self-taught education in Data Science!

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Data-Science-Cheatsheet

A helpful 4-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between.

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Deep-Learning-A-Visual-Approach

All of the figures and notebooks for my deep learning book, for free!

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deep-learning-from-scratch-pytorch

Deep Learning from Scratch with PyTorch

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devfolio

A modern and production-ready personal portfolio + blog template built with GatsbyJs and TailwindCSS

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devportfolio

A lightweight, customizable single-page personal portfolio website template built with JavaScript and Sass

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fastpages

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

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hello-world

My first step towards great repositories

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IntroToDataScience

GitHub Repository to accompany my YouTube series of videos on Introductory Data Science using R.

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muhammad-ahmad-baig

Config files for my GitHub profile.

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Web-Dev-For-Beginners

24 Lessons, 12 Weeks, Get Started as a Web Developer

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ydata-synthetic

Open repository with GAN architectures for tabular data implemented using Tensorflow 2.0.

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