Shashipal's Projects
A Well Maintained Repository On Quantum Computing Resources [Code+Theory] Updated Regularly During My Time At IBM, Qubit x Qubit And The Coding School's Introduction To Quantum Computing Course 21'
My personal quantum paper library
Best youtube channels for following and learning about Quantum tech
Airbyte
This repo consist of codelabs from https://www.udemy.com/react-the-complete-guide-incl-redux/ course. BTW this is an awesome course.
React Interview Guide,Published by Packt
List of top 500 ReactJS Interview Questions & Answers....Coding exercise questions are coming soon!!
A curated list of applied machine learning and data science notebooks and libraries across different industries.
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Full Stack Tutorial for building recommendation engine for a streaming platform clone.
Simple Reinforcement learning tutorials
Recommendations Handbook
This repository offers a goldmine of materials for students of computer vision, natural language processing, and machine learning operations.
Projects and e-book for our course, REST APIs with Flask and Python
Group project forked from https://github.com/jacksoncamp42/Resume-Parser-App
Resume Screening App With Python and Machine Learning
Generic automation framework for acceptance testing and RPA
Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson
Book, articles and interesting things related to robotics
🤖 Places where you can learn robotics (and stuff like that) online 🤖
List of commonly used robotics libraries and packages
A Curated List of Must-read Papers on Recommender System.
Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.
Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
Sample Python application that is used in tutorials as a container, and running with uWSGI / Nginx.
An open access book on scientific visualization using python and matplotlib
CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)