amandasarubbi

amandasarubbi's Stars

• shanselman/firsttimersonly

  The Repository for the FirstTimersOnly movement in Open Source. We want projects to reserve some issues for newbies.

  Language:CSS700438

• hassannaveed1997/WOD-prediction

  Language:Jupyter Notebook46

• m4ttsch/omscs-notes-notes

  The raw markdown notes for OMSCS Notes.

  159154

• DSGT-DLP/Deep-Learning-Playground

  Web Application where people new to Deep Learning can input a dataset and toy around with basic Pytorch modules without writing any code

  Language:TypeScript278

• srush/GPU-Puzzles

  Solve puzzles. Learn CUDA.

  Language:Jupyter Notebook10.2k966

• dhoelzer/SEC595_Extras

  Extras for the SANS Applied Data Science and Machine Learning for Information Security Professionals course

  Language:Jupyter Notebook5

• getify/You-Dont-Know-JS

  A book series on JavaScript. @YDKJS on twitter.

  180k33.5k

• lydiahallie/javascript-questions

  A long list of (advanced) JavaScript questions, and their explanations :sparkles:

  63.2k9k

• orrsella/soft-eng-interview-prep

  Everything you need to know for a Software Engineering interview

  2.1k455

• karanpratapsingh/system-design

  Learn how to design systems at scale and prepare for system design interviews

  33.6k3.7k

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python196k46k

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python283k47.3k

• andrewekhalel/MLQuestions

  Machine Learning and Computer Vision Engineer - Technical Interview Questions

  3.1k519

• khangich/machine-learning-interview

  Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

  10k1.6k

• chagri/Conversational-AI-NLP-Tutorial

  Language:Jupyter Notebook1723

• GoogleCloudPlatform/tensorflow-without-a-phd

  A crash course in six episodes for software developers who want to become machine learning practitioners.

  Language:Jupyter Notebook2.8k912

• soulmachine/machine-learning-cheat-sheet

  Classical equations and diagrams in machine learning

  Language:TeX7.5k1.3k

• Avik-Jain/100-Days-Of-ML-Code

  100 Days of ML Coding

  45.9k10.7k

• chiphuyen/machine-learning-systems-design

  A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

  Language:HTML9.2k1.4k

• ajitharunai/Facial-Emotion-Recognition-with-OpenCV-and-Deepface

  Language:Python198

• deanpeters/The-Product-Manager-Interview-Project

  This project hopes to herd the cats of questions and exercises that will result in hiring the right product manager at the last responsible moment.

  3111

• mariamuzas/eyeTUNES_music_visualizer

  React web application that allows inclusive access to the creation of art and music through the user's computer keyboard. The user can play a piano-type instrument that generates notes while creating a visualisation - colours/shapes change in response to audio created. Backend using Node.js and MongoDB.

  Language:JavaScript32

• dcyoung/r3f-audio-visualizer

  An audio visualizer built with react and THREE.js

  Language:TypeScript9919

• snipsco/react-scrolling-color-background

  background with color transitioning as you scroll, declarative and easy to setup

  Language:JavaScript579

• avisionx/wakatime-updates-tracker

  📧✨ Micro service to log and compile your WakaTime languages and projects data from emails and serve using github as json for free

  Language:Python9

• tbaltrushaitis/cv

  :mortar_board: Best in Class modern CV, Resume and Portfolio website template. All-in-One-Page site with simply customizable builder.

  Language:HTML582207

• afshinea/stanford-cs-230-deep-learning

  VIP cheatsheets for Stanford's CS 230 Deep Learning

  6.4k1.4k

• afshinea/stanford-cs-229-machine-learning

  VIP cheatsheets for Stanford's CS 229 Machine Learning

  17.8k4k

• ZuzooVn/machine-learning-for-software-engineers

  A complete daily plan for studying to become a machine learning engineer.

  28.2k6.2k