Shivakshi Sheel Srivastava's Projects
The open source project that lets one build one's portfolio website within few minutes of inserting their data. Made and maintained with an aim to ensure that developers and researchers can focus on their projects while we take care of showcasing their work and journey!
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Project files for the Complete Intro to React v6, as taught for Frontend Masters
š Stanford CS229: Machine Learning
Developer Friendly Kubernetes šļø
š An app featuring DateTimePicker using the Flutter SDK
GitHub Action to deploy a NodeJS app to AWS Serverless
We provide innovative and latest solutions for our customers. We try to bring revolution in the field of design through latest technologies.
Aerial scout for first responders. DroneAid uses machine learning to detect calls for help on the ground placed by those in need.
This repository consists of the code samples, assignments, and the curriculum for the Community Classroom complete Data Structures & Algorithms Java bootcamp.
A simple website with a collection of open-source events happening across the globe. This is a beginner-friendly repository that helps you learn git and contribute to web projects. Happy Hacktober! :octocat:
An easy to use immersed boundary method in 2D, with full implementations in MATLAB and Python that contains over 60 built-in examples, including multiple options for fiber-structure models and advection-diffusion, Boussinesq approximations, and/or artificial forcing.
The Julia Language: A fresh approach to technical computing.
Materials for Quantum Computing with Julia workshop at JuliaCon 2021
A recreation fun project I saw on Instagram.
Examples and experiments around ML for upcoming Coding Train videos
Self-taught CS229 [http://cs229.stanford.edu/] coursework
Extremely simple yet powerful header-only C++ plotting library built on the popular matplotlib
12 weeks, 24 lessons, classic Machine Learning for all
Submissions of MLH Local Hack Day