A curated list of standout libraries, projects, tutorials, influential research papers, and essential resources focused on Quantum Architecture Search (QAS). This collection is designed to serve as a structured and thorough reference, empowering researchers and developers to accelerate their work and stay at the forefront of QAS advancements

This is a repository for Coursera Reinforcement Learning Course Notebook ,, these consist of my solutions. Feel Free to take a look , if you are stuck in Course and suggest corrections, if you find any mistake. Also Useful if you are looking for an implementation of RL-Algorithms. ** NOTE THESE NOTEBOOKS DON'T WORK AS THEY DO NOT CONTAIN UTILITY…

Sample-based learning implementation to classify answers of open questions in surveys (Semantic Field) given a .csv with seed words.

An Implementation of RRT* from "Incremental Sampling-based Algorithms for Optimal Motion Planning" by Karaman et al. 2010