PawanaShrestha

PawanaShrestha's Stars

• SaumyaBhandari/HOA

  Language:JavaScript2

• SaumyaBhandari/contentManagementSystem

  This is the git hub id of content management system.

  Language:JavaScript21

• SaumyaBhandari/BattleStarGame

  Language:Java2

• SaumyaBhandari/pianoOnJava

  Language:Java2

• SaumyaBhandari/ThePathfinder

  A Computer Vision Based Navigation System which uses Differentiable Feature Clustering to Segment the road. And uses different ROI based methods to figure out road, and detect obstacles in it and provides any kind of self driving system to either go ahead or stop.

  Language:Python5

• SaumyaBhandari/Music_Genre_Prediction_Using_Different_ML_Models

  We use different models to predict the type/genre of music given to us.

  Language:Jupyter Notebook2

• SaumyaBhandari/Image-SuperResolution-

  A Super Sampling model created using the SRCNN method proposed by Chao Dong, Chen Change Loy in 2015. It uses Convolutional Networks to identify features and uses "Depth-To-Feature" technique in the end to generate a high resolution image of a given low resolution input. The model is trained and tested on BSDS500 dataset.

  Language:Jupyter Notebook2

• SaumyaBhandari/ID3-From-Scratch

  ID3 algorithm, which uses entropy and Information gain was created on the samplecar.csv dataset.

  Language:Jupyter Notebook3

• SaumyaBhandari/Initialization_Techniques_and_Other_Findamentals_of_Neural_Network

  This notebook consists of initialization techniques and other fundamentals of Neural Networks.

  Language:Jupyter Notebook2

• SaumyaBhandari/Principal_Component_Analysis

  This repository consists of performing Principal Component Analysis (Finding out the principle components of our dataset), using the concept of Eigen Vectors and Eigen Values of the correlation matrix. Also, it also includes the technique of reducing the dimension of the data using Singular Value Decomposition technique and reduce it to the lowest possible dimension.

  Language:Jupyter Notebook2

• SaumyaBhandari/Moore_Penrose_PseudoInverse

  The notebook here consists of the concept of "Moore Penrose PseudoInverse" which approximates the inverse of a matrix and we use it to find the weight vectors in any given linear regression problem.

  Language:Jupyter Notebook2

• SaumyaBhandari/HouseOfAttorneys

  Language:HTML2

• SaumyaBhandari/ANN_NumericDigitClassification

  A neural network made and analyzed, with 1 hidden layer, 2 hidden layers and 5 hidden layers and was trained and tested on MNIST dataset. The Initializaton method used was Xavier, the PCA was done using SVD and 3 proper neural networks were made.

  Language:Jupyter Notebook3

• SaumyaBhandari/Numerical-Methods-Concurrency

  Language:C3

• SaumyaBhandari/licensePlateRecognitionSystem

  Language:Python3

• SaumyaBhandari/furni-world

  Furniture Website Created by Saumya Bhandari.

  Language:HTML6

• SaumyaBhandari/Course-Management-System

  This is a course management system in Java.

  Language:Java7

• SaumyaBhandari/Naive_Bayes_Classification

  This classifies the given statement into which categories they belong to.

  Language:Python5