muhammad-yousef Goto Github PK

an-exploratory-data-analysis-for-an-educational-survey

awesome-competitive-programming

:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources

clustering-the-iris-dataset-using-k-means-a-native-approach-with-python-implementation-from-scratch

Developing The K-Means Clustering Algorithms Step-By-Step And Applying It To The Famous Iris Data Set.

competitive-programming-library

Code library for competitive programming purposes.

cs-2413-artificial-intelligence-fall-2019

cs412-high-level-programming-language-java---fall-2018

data-structures-and-algorithms

datastructuresandalgorithmsmadeeasy

Data Structures And Algorithms Made Easy

decisiontrees

Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation

getting-insights-about-the-tone-of-classic-books-a-case-study-for-homer-s-the-illiad

This project is nothing but applying most common NLP techniques in order to gain some insights about the tone of Homer's The Iliad without a formal read.

gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

icml2016

Generative Adversarial Text-to-Image Synthesis

iris-dataset-classification

Bench-marking different machine learning classification algorithms on the famous iris data-set.

islr-but-python

This repository contains labs rewritten in Python for the book An Introduction to Statistical Learning with Applications in R by James, Witten, Hastie, Tibshirani (2013)

jupyter-themes

Custom Jupyter Notebook Themes

latex-ocr

pix2tex: Using a ViT to convert images of equations into LaTeX code.

latex2sympy

Parse LaTeX math expressions

machine-learning

Implementation of different ML Algorithms from scratch, written in Python 3.x

machine-learning-experiments

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

machine-learning-map

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

machine_learning_basics

Plain python implementations of basic machine learning algorithms

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.

mlalgorithms

Minimal and clean examples of machine learning algorithms implementations

mnist-handwritten-digits-recognition

Applying K-Nearest Neighbors To The Famous MNIST Dataset

muhammad-yousef

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

practical-nlp-code

Official Repository for 'Practical Natural Language Processing' by O'Reilly Media

predicting-economic-news-articles-tone-and-relevance-to-the-us-economy

predicting-real-state-prices

A Linear Regressor that Predict Rent based on Street-Easy Dataset

pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.