Pinned Repositories
Handwritten-Digit-Classification-using-mutliple-ML-algorithms
Implementation of Handwritten digit recognition using Softmax Regression,Deep Neural Network,SVM,Random Forest,Ensemble Classifier.
Image-Color-Quantization-using-K-means-Clustering-python-implementation
Apply k-means to image color quantization. Using only k colors to represent the image baboon.jpg. Folder named Task3 contains the final outputs after color quantization.
Big-Data-Analysis-and-Visualization
Link: http://websitelab2.s3-website-us-east-1.amazonaws.com/
Face-Detection-React-JS-Frontend
(Website URL:- https://ml-face-detector.herokuapp.com/ )
Choreographiclineage2019
Choreographic Lineage
Data-Structures-Algo-Practise
Implementation of various problem-solving questions in python 3.6 and Java SE-8 from Leetcode & Hackerrank online websites
Morphology-Image-Processing-Point-Detection-Image-Segmentation-and-Thresholding-Hough-Transform
Image Processing project which consists of performing composite morphology operations, point detection, image ssegmentation and linear & circular hough transform on varying input images.
Fizzbuzz-implementation-using-Neural-Network
Fizzbuzz program using sequential model of neural network
Keypoints-Detection-of-an-image
Program to detect keypoints in an image according to the following steps, which are also the first three steps of Scale-Invariant Feature Transform (SIFT). 1. Generate four octaves. Each octave is composed of five images blurred using Gaussian kernels. For each octave, the bandwidth parameters σ (five different scales) of the Gaussian kernels are shown in Tab. 1. 2. Compute Difference of Gaussian (DoG) for all four octaves. 3. Detect key points which are located at the maxima or minima of the DoG images.
Online-Fee-Payment-Application
PHP,HTML,CSS,JS
AmitBaanerjee's Repositories
AmitBaanerjee/Data-Structures-Algo-Practise
Implementation of various problem-solving questions in python 3.6 and Java SE-8 from Leetcode & Hackerrank online websites
AmitBaanerjee/Face-Detection-React-JS-Frontend
(Website URL:- https://ml-face-detector.herokuapp.com/ )
AmitBaanerjee/Face-Detection-React-JS-Backend
AmitBaanerjee/Genius-Plaza-Django-REST-app
AmitBaanerjee/MS3-Coding-Assignment
SpringBoot java application to read CSV file and insert into databases based on type of data in CSV
AmitBaanerjee/Choreographiclineage2019
Choreographic Lineage
AmitBaanerjee/Big-Data-Analysis-and-Visualization
Link: http://websitelab2.s3-website-us-east-1.amazonaws.com/
AmitBaanerjee/Data-Collection-Exploratory-Data-Analysis
AmitBaanerjee/RoboFriends-React-JS-Application
A simple application built using React JS for searching for robot names displayed on the screen. The robot details are being fetched from a JSON file present at the location https://jsonplaceholder.typicode.com/users. The robot images are being fetched from the RoboHash API.
AmitBaanerjee/Computer-Security-assignments
Evaluating the encryption and decryption times for a 1KB text file and 1 MB text file using the following methodologies: -
AmitBaanerjee/Background-Color-Generator
A simple website developed using HTML,CSS and JavaScript.
AmitBaanerjee/Shopping-List-Webpage-with-Javascript
Simple Shopping list Web page with Javascript functionality for adding and removing items. The website has been made responsive using FlexBox .
AmitBaanerjee/Website-using-CSS-Grid-and-FlexBox
Completely responsive website using CSS Grid properties and FlexBox
AmitBaanerjee/AmitBaanerjee.github.io
Website to enroll for an email subscription of Startup Company
AmitBaanerjee/Deep-Reinforcement-Learning-and-DQN-on-GYM-env
1.Implementing Tom Catching Jerry in 5*5 grid using deep reinforcement learning 2.Implementation of Deep Q- Network on 2 of the OpenAI Gym environments which have been developed for building reinforcement learning algorithms
AmitBaanerjee/Morphology-Image-Processing-Point-Detection-Image-Segmentation-and-Thresholding-Hough-Transform
Image Processing project which consists of performing composite morphology operations, point detection, image ssegmentation and linear & circular hough transform on varying input images.
AmitBaanerjee/Handwritten-Digit-Classification-using-mutliple-ML-algorithms
Implementation of Handwritten digit recognition using Softmax Regression,Deep Neural Network,SVM,Random Forest,Ensemble Classifier.
AmitBaanerjee/LETOR-implementation-using-ML-Linear-Regression
Learning to rank queries based on 46 features for identifying each query using LETOR dataset
AmitBaanerjee/Keypoints-Detection-of-an-image
Program to detect keypoints in an image according to the following steps, which are also the first three steps of Scale-Invariant Feature Transform (SIFT). 1. Generate four octaves. Each octave is composed of five images blurred using Gaussian kernels. For each octave, the bandwidth parameters σ (five different scales) of the Gaussian kernels are shown in Tab. 1. 2. Compute Difference of Gaussian (DoG) for all four octaves. 3. Detect key points which are located at the maxima or minima of the DoG images.
AmitBaanerjee/Image-Color-Quantization-using-K-means-Clustering-python-implementation
Apply k-means to image color quantization. Using only k colors to represent the image baboon.jpg. Folder named Task3 contains the final outputs after color quantization.
AmitBaanerjee/AES-NI-Encryption-Implementation
AES-NI Encryption Implementation
AmitBaanerjee/Handwriting-Recognition-using-ML-----Linear-Regression-and-Logistic-Regression
AmitBaanerjee/Edge-Detection-Image-Processing
Detect edges of an image without using Opencv library function via a sobel filter matrix in Python programming language
AmitBaanerjee/Fizzbuzz-implementation-using-Neural-Network
Fizzbuzz program using sequential model of neural network
AmitBaanerjee/Online-Fee-Payment-Application
PHP,HTML,CSS,JS