Agnish Bhattacharya's repositories
Deep-feature-extraction-from-CNNs-followed-by-optimization-with-GA
Extracting the deep features of the BreakHis dataset from pre-trained GoogLeNet, ResNet-18 and VGG-19 Convolutional Neural Networks (CNNs) followed by optimization using Genetic Algorithm (GA) and classification using SVM, KNN and MLP classifiers.
SOC_Estimation_Battery
Undergraduate Final Year Project on State-Of-Charge Estimation of Li-ion Battery using Convolutional Neural Networks.
Bhattacharya_Agnish_Portfoilio
My personal website. This is a demo version as of now, with future plans for design improvements and feature addition.
Classification-of-types-of-Lung-Carcinoma-using-Convolution-Neural-Networks
Three class classification of Lung Carcinoma disease through Deep Learning using GoogLeNet, VGG16, ResNet18 and DenseNet121 Convolution Neural Networks one at a time.
Creating-a-CNN-architecture-from-scratch
Creating a basic CNN architecture from scratch using pytorch, which classifies the digits of the MNIST dataset with higher than average accuracy.
HackNPitch_PentaNoobs_Uni-Nav
A one-stop solution to find all information regarding the campus.
Heroku-Deployment-Demo
Deployment of a NLP-based email-spam-detection web-app
Melanoma-detection-through-Semantic-Segmentation-using-U-Net
Performing Semantic Segmentation on the PH2 dataset using U-Net to classify melanocytic lesions into Common Nevus, Atypical Nevus or Melanoma.
SARS-CoV-2-detection-using-SVM-MLP-KNN-models
SARS-CoV-2 (Covid-19) detection from lung CT-scans using traditional feature extraction through application of SVM, MLP and KNN models.
Sentiment-Analysis-Amazon-Reviews
Natural Language Processing based end-to-end Python project to classify the sentiment of amazon customer reviews.