Usamahk

Usamahk's Stars

• freeCodeCamp/freeCodeCamp

  freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.

  Language:TypeScript404k8.5k18.4k37.8k

• twbs/bootstrap

  The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

  Language:JavaScript170k6.7k22.5k78.8k

• nvm-sh/nvm

  Node Version Manager - POSIX-compliant bash script to manage multiple active node.js versions

  Language:Shell79.5k1k2.2k8k

• DopplerHQ/awesome-interview-questions

  :octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

  70.9k1.7k628.9k

• swiftlang/swift

  The Swift Programming Language

  Language:C++67.5k2.5k15.6k10.3k

• awesomedata/awesome-public-datasets

  A topic-centric list of HQ open datasets.

  60.5k2.3k1139.9k

• CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

  Language:Jupyter Notebook26.7k1.4k2457.9k

• datasciencescoop/Data-Science--Cheat-Sheet

  Cheat Sheets

  Language:TeX18.3k

• fivethirtyeight/data

  Data and code behind the articles and graphics at FiveThirtyEight

  Language:Jupyter Notebook16.8k1.3k16310.9k

• andkret/Cookbook

  The Data Engineering Cookbook

  13.7k5371352.5k

• WillKoehrsen/Data-Analysis

  Data Science Using Python

  Language:Jupyter Notebook5.2k354613.6k

• christophM/interpretable-ml-book

  Book about interpretable machine learning

  Language:Jupyter Notebook4.8k1382051.1k

• sharu725/online-cv

  A minimal Jekyll Theme to host your resume (CV) on GitHub with a few clicks.

  Language:JavaScript3.2k30595.9k

• Trusted-AI/AIF360

  A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

  Language:Python2.4k90251831

• scotthmurray/d3-book

  Code examples for “Interactive Data Visualization for the Web”

  Language:HTML2.4k173361.8k

• toddwschneider/nyc-taxi-data

  Import public NYC taxi and for-hire vehicle (Uber, Lyft) trip data into a PostgreSQL or ClickHouse database

  Language:R2k12725568

• topepo/caret

  caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

  Language:R1.6k1051.1k632

• despoisj/DeepAudioClassification

  Finding the genre of a song with Deep Learning

  Language:Python1.1k410218

• erikbern/deep-pink

  Deep Pink is a chess AI that learns to play chess using deep learning.

  Language:Python8136019159

• trinker/sentimentr

  Dictionary based sentiment analysis that considers valence shifters

  Language:R4262213284

• capaulson/pyKriging

  Welcome to the User Friendly Python Kriging Toolbox!

  Language:Python3832644113

• dijs/wiki

  Wikipedia Interface for Node.js

  Language:JavaScript3131211362

• adilmoujahid/deeplearning-cats-dogs-tutorial

  Source code for blog post: A Practical Introduction to Deep Learning with Caffe and Python

  Language:Python1821613136

• erikbern/mta

  Scrape & analyze MTA arrival times

  Language:Python15210416

• zachwill/rottentomatoes

  Rotten Tomatoes API for Python

  Language:Python888322

• adautobraz/ergo

  Language:Python18101

• IBMDeveloperUK/AIX360-Introduction

  Introduction to explaining data and machine learning models with aif360

  Language:Jupyter Notebook7704

• Usamahk/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

  Language:Python2201