devanshmesson

devanshmesson's Stars

• adam-p/markdown-here

  Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

  Language:JavaScript59.6k1k62111.3k

• rahuldkjain/github-profile-readme-generator

  🚀 Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.

  Language:JavaScript21.6k933856.9k

• cp-algorithms/cp-algorithms

  Algorithm and data structure articles for https://cp-algorithms.com (based on http://e-maxx.ru)

  Language:C++7.7k1033551.6k

• MysteryVaibhav/leetcode_company_wise_questions

  This is a repository containing the list of company wise questions available on leetcode premium

  7.1k18042.6k

• sb2nov/resume

  Software developer resume in Latex

  Language:TeX5.3k41331.5k

• ankitpriyarup/Coding_Notes

  1.6k472822

• chaharnishant11/PlacementPrepGuide

  Includes all the resources for Core CS fundamentals

  1.5k221706

• sjsakib/cfviz

  Visualizes user data from codeforces.com using the official API

  Language:JavaScript1.1k73071

• yash0530/InterviewPrepResources

  Resources for Coding Interviews for Undergrads for Internships and FTE

  663130143

• udayrajsawhney/Leetcode

  Leetcode questions (Company-wise, Paradigm-wise and much more)

  519242220

• anmspro/Traffic-Signal-Violation-Detection-System

  A Computer Vision based Traffic Signal Violation Detection System from video footage using YOLOv3 & Tkinter. (GUI Included)

  Language:Python4382616167

• GaurangTandon/codeforces-darktheme

  A dark theme built for Codeforces

  Language:CSS12344733

• gandalf1819/Stock-Market-Sentiment-Analysis

  Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka

  Language:R1036630

• EmielStoelinga/CCMLWI

  Predicting the stock market with sentiment analysis and LSTM techniques

  Language:Jupyter Notebook817234

• sid0312/anpr_yolov5

  GitHub repo for my article at https://towardsdatascience.com/indian-car-license-plate-detection-using-yolo-v5-ae2574578175

  Language:Python623835

• pirateksh/codeforces-upsolving-helper

  A web app developed using Flask that compiles all the Problems on Codeforces that you have attempted (submitted at least once) but could not get Accepted verdict. Recommended Problems are also shown.

  Language:Python61248

• devanshmesson/Competitive-programming

  This Repository contains Source codes of the problems which i solve on different Platforms such as Codechef,Codeforces,Atcoder,CSES in C++ 14.

  Language:C++12102

• alancast/ShortestPathResearch

  Language:C++2100

• devanshmesson/Dispersion-Model

  Produced and Presented a Chemical Agent Dispersion model by mathematically simulating a Gaussian dispersion equation on MATLAB R2018a.This model signifies the estimation of the downwind ambient concentration of air pollutants or toxins emitted from various sources via colour variance and it was finally plotted on Indian Map via ArcGIS(Latitude and Longitude coordinates).This model is working on the basis of the input of the user.

  2100

• zeph1yr/Competetive-Programming

  Source code of all the algorithmic problems I solve

  Language:C++22

• devanshmesson/Coding_Notes

  1000