div-bargali

div-bargali's Stars

• AIHawk-FOSS/Auto_Jobs_Applier_AI_Agent

  Auto_Jobs_Applier_AI_Agent aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in an automated and personalized way.

  Language:Python23.6k3.5k

• bhavul/System-Design-Cheatsheet

  System Design Studying can be daunting. This gives you a table to study different problems, understand what components they require, their pros and cons, and how to deal with mitigations.

  37670

• prasadgujar/low-level-design-primer

  Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.

  6.5k2.3k

• kuutsav/leetcode-compensation

  Near real-time LeetCode compensation insights for India

  Language:Python26543

• ashishps1/awesome-low-level-design

  Learn Low Level Design (LLD) and prepare for interviews using free resources.

  Language:Java9k2.3k

• div-bargali/DSA-problems

  This repo has solutions of all the DSA questions done on Leetcode

  Language:C++1

• div-bargali/Stock-Price-Prediction-using-LSTM

  This project utilizes Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

  Language:Jupyter Notebook1

• ertiqah/The-Efficient-Entrepreneur

  Complete AI-playbook for entrepreneurs. Follow this blueprint to create an AI-first business.

  Language:HTML369125

• div-bargali/FLickR

  Flickr is a social media app. Developed using MERN stack, the application provides its users a platform to share intersting events happening with them, with their social circles.

  Language:JavaScript12

• LaurentVeyssier/Credit-Card-fraud-detection-using-Machine-Learning

  Detect Fraudulent Credit Card transactions using different Machine Learning models and compare performances

  Language:Jupyter Notebook6926

• meetsandeepan/Building-Modern-Python-Applications-on-AWS

  Coursera Quiz Solutions

  113

• bishalkhadka75919/recommendation-system-in-django

  Recommendation system using python django. I have implemented recommendation system in python

  Language:CSS2010

• PacktPublishing/Django-By-Example

  Published by Packt

  Language:Python3427

• FortAwesome/Font-Awesome

  The iconic SVG, font, and CSS toolkit

  Language:JavaScript74.4k12.2k

• nikitaa30/Art-and-Soul

  A website based on Neural Style Transfer

  Language:CSS133

• scottwoodall/django-react-template

  Django & React Template For Building Web Applications

  Language:JavaScript816157

• danwild/react-webpack-django

  De-coupled ReactJS client for greater flexibility and less black-box Django magic

  Language:JavaScript3011

• karansaxena/STL_Cheat_Sheets

  C++ STL Cheat Sheets.

  553189

• oke-aditya/image_similarity

  PyTorch Blog Post On Image Similarity Search

  Language:Python25159

• dmgutierrez/Sarcasm-detector

  A deep learning approach for detecting sarcasm in Headlines

  Language:Python2

• apinf/ml-rest

  REST API (and possible UI) for Machine Learning workflows

  Language:Python6323

• MLH/mlh-hackathon-flask-starter

  Hackathon starter project for Flask applications

  Language:HTML733287

• django/django

  The Web framework for perfectionists with deadlines.

  Language:Python81.5k31.9k

• Anjali001/Hybrid_Recommender_System

  Recommender System is a system that seeks to predict or filter preferences according to the user’s choices. The dataset (ml-latest-small) describes 5-star rating and activity from [Movie Lens] (http://movielens.org), a movie recommendation service. It contains 100836 ratings across 9742 movies. These data were created by 610 users between March 29, 1996 and September 24, 2018. The dataset used was generated on September 26, 2018. This project is collectively made by Anjali Pal ,Niranjan Jena, Prakhar Gupta, Satyajit Kumar and Soumyabrata Ghosh

  Language:HTML2

• anuraghazra/github-readme-stats

  :zap: Dynamically generated stats for your github readmes

  Language:JavaScript70.2k23.3k

• div-bargali/Data-Structures-and-Algorithms

  Data Structures and Algorithms implemented In Python, C, C++, Java or any other languages. Aimed to help strengthen the concepts of DSA. Give a Star 🌟 if it helps you.

  Language:C++272395

• div-bargali/Neural-Style-Transfer-with-TensorFlow-2

  Application of neural style transfer to create artistic images.

  Language:Jupyter Notebook1

• div-bargali/React-Django-To-Do-app

  Language:JavaScript21

• Sentdex/pygta5

  Explorations of Using Python to play Grand Theft Auto 5.

  Language:Python3.9k819

• etendra2501/Eduthon-Tools-for-Making-Learning-Visible

  A Webapp for students to share their portfolio with peers.

  Language:Python11