Deep-CNN-Image-Classifier

Image Classification Model using both CNN and Feed-Forward Neural Network. CNN tested on Kaggle datasets, Feed-Forward implemented on MNIST datasets.

U-Net-Image-Segmentation

Made use of U-Net Semantic Image Segmentation to segment images. Research paper can be found here: "https://paperswithcode.com/paper/u-net-convolutional-networks-for-biomedical"

Text-Summarizer-Project

End-to-End Text Summarizer which can summarise texts. The extent of summarisation depends on the user. Deployed using AWS EC2 and have CI/CD pipeline as well. (In Progress)

Retail-A-Score-credit-risk-model

Built an A-Score credit risk model using python to assess credit risk on retail customers. Technique used is similar to industry bank standards. Dataset is obtained from Kaggle with 800,000 loans and 600+ fields

PyTorch

Documentation of my learning on deep learning with PyTorch.