Kuldeep Singh Sidhu

contextual-bandits

September 15, 2024 – December 31, 2024

A comprehensive Python library implementing a variety of contextual and non-contextual multi-armed bandit algorithms—including LinUCB, Epsilon-Greedy, Upper Confidence Bound (UCB), Thompson Sampling, KernelUCB, NeuralLinearBandit, and DecisionTreeBandit—designed for reinforcement learning applications

request-boost

September 16, 2021 – September 13, 2023

A better requests and urllib. A simple package for hitting multiple URLs and performing GET/POST requests in parallel.

stay-awake

October 23, 2020 – June 6, 2023

Simple Platform Independent Python package to keep your system awake without affecting workflow!

Google-Colab-Shell

August 28, 2020 – August 15, 2023

Now you can open shell in Google Collab

datascienceinterviews.github.io

June 29, 2020 – Present

This is a completely open-source repo of interview questions and answers for people preparing for such interviews. This is maintained by you and you can send the questions that you faced during interviews.

Text-Summarizer

June 5, 2020 – June 6, 2023

Comparing state of the art models for text summary generation

Recommendation-System

March 23, 2020 – May 12, 2020

Comparing different recommendation systems algorithms like SVD, SVDpp (Matrix Factorization), KNN Baseline, KNN Basic, KNN Means, KNN ZScore), Baseline, Co Clustering

Youtube-Views-Hack

October 20, 2017 – June 6, 2023

Increase Youtube Views with multiple videos playing at once and reloading at a set frequency

2D-Navier-Stokes-Solver

June 18, 2017 – June 6, 2023

As the field of Computational Fluid Dynamics (CFD) progresses, the fluid flows are more and more analysed by using simulations with the help of high speed computers. In order to solve and analyse these fluid flows we require intensive simulation involving mathematical equations which governs the fluid flow, these are Navier Stokes (NS) equation. Solving these equations has become a necessity as almost every problem which is related to fluid flow analysis call for solving of Navier Stokes equation. These NS equations are partial differential equations so different numerical methods are used to solve these equations. Solving these partial differential equations so different numerical methods requires large amount of computing power and huge amount of memory is in play. Only practical feasible way to solve these equation is write a parallel program to solve them, which can then be run on powerful hardware capable of parallel processing to get the desired results High speed supercomputer w

SimplexSolver

June 13, 2017 – October 1, 2018

Using Simplex Algo. to solve Linear Optimization Problem.