harshitgaur2

harshitgaur2's Stars

• EbookFoundation/free-programming-books

  :books: Freely available programming books

  Language:HTML354k9.9k1.2k63.1k

• donnemartin/system-design-primer

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

  Language:Python294k6.7k32348.9k

• MunGell/awesome-for-beginners

  A list of awesome beginners-friendly projects.

  72.6k1.3k1727.2k

• anuraghazra/github-readme-stats

  :zap: Dynamically generated stats for your github readmes

  Language:JavaScript72.1k2821.3k24.2k

• browser-use/browser-use

  Make websites accessible for AI agents

  Language:Python48k2934915k

• Ebazhanov/linkedin-skill-assessments-quizzes

  Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers

  28.6k36689113.3k

• eugeneyan/applied-ml

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

  27.8k950243.7k

• spmallick/learnopencv

  Learn OpenCV : C++ and Python Examples

  Language:Jupyter Notebook21.7k88532311.7k

• Netflix/conductor

  Conductor is a microservices orchestration engine.

  Language:Java12.8k5491.6k2.3k

• poloclub/cnn-explainer

  Learning Convolutional Neural Networks with Interactive Visualization.

  Language:JavaScript8.4k164501.3k

• j-delaney/easy-application

  Over 400 software engineering companies that are easy to apply to

  7.8k315451.1k

• prasadgujar/low-level-design-primer

  Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.

  6.8k17322.3k

• owid/covid-19-data

  Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data

  Language:Python5.7k1489363.6k

• gibsjose/cpp-cheat-sheet

  C++ Syntax, Data Structures, and Algorithms Cheat Sheet

  Language:C++5.1k130121.5k

• digitallyinduced/ihp

  🔥 The fastest way to build type safe web apps. IHP is a new batteries-included web framework optimized for longterm productivity and programmer happiness

  Language:Haskell5k36827202

• fastai/fastpages

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

  Language:Jupyter Notebook3.5k42328745

• SylphAI-Inc/AdalFlow

  AdalFlow: The library to build & auto-optimize LLM applications.

  Language:Python2.9k2170254

• github-education-resources/GitHubGraduation-2021

  Join the GitHub Graduation Yearbook and "walk the stage" on June 5.

  Language:JavaScript1.4k252407.1k

• sajal2692/data-science-portfolio

  Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

  Language:Jupyter Notebook1.1k532445

• theapache64/stackzy

  💻 A cross-platform desktop application to identify libraries used inside an android application ⚡

  Language:Kotlin1.1k168156

• SHY-Corp/LeetCode-Solutions

  A compilation of all the Leetcode solutions.

  Language:C++2423793536

• ashutosh1919/truvisory

  This project is meant to provide resources to users who want to access good LinkedIn posts which contains resources to learn any Technology, Design, Self-Branding, Motivation etc. You can visit project by:

  Language:JavaScript2163036

• goldcoders/Flutter

  Free Paid Learning Resources on Dart and Flutter.

  78

• pyGuru123/HackFest21

  Only valid pull requests will be allowed. Use python only and readme changes will not be accepted.

  Language:Jupyter Notebook48135143

• ak--47/carvis

  🤖 a maker of fake CSV data

  Language:JavaScript15710

• nishants906/AR-ML

  Augmented Reality application that gets enhanced by Machine learning.

  Language:Java11223

• mrsac7/coding-interview-gym

  leetcode.com , algoexpert.io solutions in python and swift

  Language:Python2000

• himani-negi/Operating_system

  Language:C++1

• Saksham-Chaudhary/Covid-19-dataset-visualization

  The first step of making the project started with finding a suitable dataset on I could work on. The dataset which I found a dynamic and live dataset which gets updated daily as the new cases are confirmed. Then I have imported my data and then after reading the data i have tested my data against SVM predictions and Polynomial regression predictions. After testing I have plotted the graphs showing confirmed cases, death cases and recovered cases of coronavirus in the world. Similarly I have plotted the same three graphs for some countries showing data of each country. Then a list is showing the confirmed cases, death cases ,recovery cases and active cases of all countries in tabular form. Then a pie chart displays the no of confirmed cases in some particular countries

  Language:Python1

• thushv89/awesome-tensorflow-2

  👉 Tensorflow 2.x resources such as tutorial, blog, code and videos

  100