Chandra Churh Chatterjee's repositories
IDCBreastCancer_histopathologyImages_deepResidualLearning
IDC prediction in breast cancer histopathology images using deep residual learning with an accuracy of 99.37% in a subset of images containing a total of 7,500 microscopic images.
Pneumonia-diagnosis-using-deep-residual-learning-with-a-classification-accuracy-of-98.22
Classification between normal and pneumonia affected chest-X-ray images using deep residual learning along with separable convolutional network(CNN). This methodology involves efficient edge preservation and image contrast enhancement techniques for better classification of the X-ray images.
Tesseract_ICR-Sheets
A model was trained using Google handwritten Fonts using a text corpus containing only digits ranging from 0-9. The main aim was to recognize ICR sheets from such trained data. Our model gave an accuracy of 94.6% using Tesseract Version-4.
Emotion-Recognition-from-speech-signals-over-the-TESS-dataset
Emotion Recognition using matlab (Machine Learning using SVM and Random Forest)
Digit-Recognition-
Scikit Learn digit recognition using KNN Classifier and Mnist Dataset
Face-detection
face detection using python and pandas
Gender_classification_webapp
A simple gender classification application using SVM model developed using Flask.
Object_Classification_Deep_Residual_Seperable_CNN_with_VGG16
Object_Classification_Deep_Residual_Seperable_CNN_with_VGG16
Grid_Search_CV
Simple grid search cv method to perform hyper parameter tuning on SVM for a simple and easy classification task.
GUI-Data-handling
A data management GUI based application to help in operating data.
Image_Recognition_Basics
Basics on Image Recognition
Interactive-Dictionary
Dictionary with suggestion for wrong spellings, developed using python script and file handling with Jason.
LeetCode-Python
:pencil: Python / C++ 11 Solutions of All LeetCode Questions
Motion-Detection
Motion detection using Webcam developed using python and pandas and image and video processing
NMT--Chatbot
Introduction nmt-chatbot is the implementation of chatbot using NMT - Neural Machine Translation (seq2seq). Includes BPE/WPM-like tokenizator (own implementation). Main purpose of that project is to make an NMT chatbot, but it's fully compatible with NMT and still can be used for sentence translations between two languages.
Object-Classificarion-Resnet50
Object Classification using Resnet50 Network on cifar10 datasets from keras.
python-game
A GUI based racing game using pygame and python.
Python-game-2
Another python game using pygame
Speech-dictionary
This is a suggestive dictionary based on what you say developed using python .Input is in form of speech and output is also in form of speech
Speech-to-text-Dictionary
The input is what you say and output is in form of text
Text-to-speech
Text to speech conversion using python
Webmap-Population
A web map representing population density and important places developed using file handling with python.
Website-Blocker
Website URL's blocked by writing them into a file using file handling with python.