Yadav-Jaya

Yadav-Jaya's Stars

• bradtraversy/design-resources-for-developers

  Curated list of design and UI resources from stock photos, web templates, CSS frameworks, UI libraries, tools and much more

  58.5k9799411.5k

• gto76/python-cheatsheet

  Comprehensive Python Cheatsheet

  Language:Python36.2k964656.5k

• wesbos/JavaScript30

  30 Day Vanilla JS Challenge

  Language:HTML27.6k678037.8k

• Chalarangelo/30-seconds-of-interviews

  A curated collection of common interview questions to help you prepare for your next interview.

  Language:JavaScript12k21651960

• mertJF/tailblocks

  Ready-to-use Tailwind CSS blocks.

  Language:JavaScript8.7k14575826

• codingknite/frontend-development

  A curated list of resources for Frontend development

  2.1k695212

• randallkanna/awesome-job-list

  A list of the best places to job hunt. I've been curating this for the past 7 years.

  1.6k583170

• jgudo/ecommerce-react

  eCommerce web application using React, Redux, Redux-Saga, Firebase and SASS.

  Language:JavaScript1.2k2558634

• codebucks27/Agency-website

  Agency Landing Page. It is build on top of the React JS, with styled-components and GSAP for smooth scrolling animations. Create this awesome website in React by following the tutorial given in the readme file.

  Language:JavaScript1912069

• gabrieltseng/pycrop-yield-prediction

  A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction

  Language:Python1707661

• Chinukapoor/Smart-Agriculture-using-IoT-and-Machine-Learning

  The project uses Arduino UNO with multiple sensors attached to it like Soil Moisture sensor, Photoelectric Diode Sensor,Humidity sensor etc that takes reading on a periodic basis.The mission of the project is to intimate the farmers or other stakeholders in predicting when the crop is about to deteriorate. This is accomplished by a Machine Learning Layer that has been modeled to identify the degradation of a crop's health before its degradation starts. It uses KNN-algorithm to cluster the crops according to the impeding eventuality.The next iteration identifies the most probable cause and thorugha UI intimates the stakeholder whta steps needs to be taken to prevent crop-failure

  Language:Python606023

• emclaniyi/ML-Precision-Agriculture-Web-App

  This web application uses Machine Learning to recommend crop, fertilizer, pesticide and storage process based on various variables. Algorithm used is SVM for multi-classification

  Language:HTML524314

• mihinsumaria/AgroAnalytics

  Agro Analytics - Data Mining/Machine Learning Project based on Agricultural datasets. For more info, go to www.agroanalytics.info

  Language:Python316011

• theartist007/Agrimine

  [CSIAR Inspire Challenge 2018] Using Machine Learning to improve agriculture in India

  Language:Python4101

• SinghKislay/DEVSOC19-FARMERS

  One stop AI powered solution for Supply Chain Management for Agricultural services

  Language:Python2101

• kiranathealea/regressionMachineLearning

  Linear Regression and Polynomial Regression for predicting agricultural data

  Language:Python1