Discover @devang1116 Open Source projects

Devang Papinwar (@devang1116)

devang1116

Stars
39
Global Rank 406,458 (Top 15 %)
Followers 13
Following 13
Registered almost 5 years ago
Most used languages

Jupyter Notebook
36.4 %

C++
27.3 %

Swift
24.2 %

C
9.1 %

Python
3.0 %
Location 🇮🇳 India
Country Total Rank 15,223
Country Ranking

Swift
457

C++
1,811

C
2,601

Jupyter Notebook
3,013

GramGan

Social Media platform build with swiftUI and Firebase with google and apple account integration for Signing In Users . Providing Users availability to upload posts and images add caption allowing other users to comment , with Find section to explore new people , new stories , User Profile section to allow the user to take control of his account .

Yelp-Reviews-Analysis-using-Natural-Language-Processing

Analysis of Yelp reviews using Natural Language Processing to classify future Yelp reviews into the stars the reviews get

Jupyter Notebook

FindR

SwiftUI iOS application allowing users to create profiles and meet and chat with people with similiar interests with beautiful UI and dark mode support created using Xcode , Swift , Firebase .

LeetStats

iOS iPadOS application to get your Leetcode statistics using their public API while extensively making use of Charts and visualisation to depict data

Stack-

Stack Implementation using Array and Linked List in C++

Binary-Max-Heap

Face-Recognition-using-Local-Binary-Patterns-Histograms

Local Binary Pattern (LBP) is a simple yet very efficient texture operator which labels the pixels of an image by thresholding the neighborhood of each pixel and considers the result as a binary number.

Jupyter Notebook

Binary-Search-Tree

Binary Search Tree Implementation in C++

Queue

Queue Implementation using Array and Linked List in C++

Doubly-Linked-List

Doubly Linked List in C++

TwitterMotions

SituList

A Bucket List Application which presents the user all the locations that i want to visit with dark mode integration and displaying the detailed information about the Location along with editable dynamic user profile

OSL_4-Reader-Writer-Problem

Multiple Readers Multiple Writers Implementation in C language using semaphores and mutexes.

Crypto-Topic-Detection

The project determines whether or not a message is talking about crypto/web3 or not .

Jupyter Notebook

LinkedList

LinkedList Implementation in C++

Disjoint-Set

Disjoint Set implementation using Union by Rank method and unordered maps in Cpp

Double-Ended-Queue

Double-Ended-Queue Implementation is C++

Bankers-Algorithm

Bankers Algorithm implementation in C language with Safe and Unsafe states and Safe Sequence if present

Tree-Traversal

Tree Traversal Implementation in C++

OSL_4-Producer-Consumer-Problem

Single Producer Multiple Consumer problem Code in C

Meetings

A Meetings app where the user is presented with the number of meetings created , join any them , edit the varied details also keeping the track of the history of the meetings.

Decision-Tree

Machine Learning Algorithm based on Supervised Learning where the data is continuously split according to a certain parameter that create a model that predicts the value of a target variable by learning simple decision rules inferred from the data features

Jupyter Notebook

HcK-News

A iOS News app for Technology and Cyber Security fanatics powered by HackerNews API's with In-App browser which constantly gets the data from the API and also provides a in-App browser for users to read the articles without leaving the app

Neural-Network-from-Scratch-

Configurig and creating a Neural Network from Scratch in Python using forward propagation , backward propagation , calculating loss all via implementing multiple Dense layers and activation functions such as ReLU and Softmax

Movie-Recommender-System

A Machine Learning Algorithm based on UnSupervised Learning which tries to provide users with accurate personalized suggestions for items based on an analysis of previous user decisions and the decisions made by other users

Jupyter Notebook

Klim

A iOS Weather App which uses Core Location services , OpenWeather API's along with URLSessioning integrating Encodable and DeCodable protocols previewing Delegate patterns

K-Nearest-Neighbours

Machine Learning Algorithm based on Supervised Learning which assumes the similarity between the new case/data and available cases and put the new case into the category that is most similar to the available categories.

Jupyter Notebook

K-Neighbors-Classifier

Machine Learning algorithm based on Supervised Learning which assumes the similarity between the new case/data and available cases and put the new case into the category that is most similar to the available categories.

Jupyter Notebook

Face-Detector

Face Detector implemented using Haar Cascade Classification and Histograms of Oriented Gradients in Pycharm using web camera and Google Colab using images

Jupyter Notebook

Support-Vector-Machines

Machine Learning model based on Supervised Learning that can be used for classification as well as regression . The objective of the support vector machine algorithm is to find a hyperplane in an N-dimensional space(N — the number of features) that distinctly classifies the data points

Jupyter Notebook

Linear-Regression

Machine Learning Algorithm based on Supervised Learning that performs the task to predict a dependent variable value (y) based on a given independent variable (x)

Jupyter Notebook

Logistic-Regression

Machine Learning Algorithm based on Supervised Learning that performs the task of classification , it is a predictive analysis algorithm and based on the concept of probability.

Jupyter Notebook

KMeans

Machine Learning Algorithm based on Unsupervised Learning is a clustering algorithm used to find groups which have not been explicitly labelled in the data which helps in confirming assumptions about the data

Jupyter Notebook

MLTwitterMotions

A iOS app powered by Natural Language Processing which fetches live data from twitter to get user views about any company based on how people reference them in their tweets which is driven by a self created Machine Learning model.