deep learning

Histopathology

A detailed literature survey of applications and relevance of Deep Learning in Histopathology

Generative Adversarial Networks: Reproducibility Study

A reproducibility test, ablation studies and extension of the seminal Generative Adversarial Networks paper

Modified MNIST [Kaggle]

Identifying the highest number present in modified MNIST images containing multiple handwritten digits on random backgrounds using deep learning

Generic Extraction Module (G.E.M)

Trained a biLSTM model using both word and character level embeddings for information retrieval from text OCR outputs of ID cards

Dory OCR

We created a state of the art Optical Character Recognition Engine specifically for Indian ID cards using a pipeline for document layout detection, foreground extraction, text detection, recognition and postprocessing

Sign Language Classification [Bachelor Project]

Deep Learning based Indian Sign Language detection for conversion to speech, a subsystem of the Hindi speech-Indian sign language interconversion system

March Madness [Kaggle]

Applying Machine Learning to March Madness College Basketball tournament for predicting tournament match results

Activity Recognition

Using traditional computer vision with deep learning algorithms for Anomalous activity detection from CCTV camera feed

Speaker Recognition

Comparative analysis of Neural Network performances for the task of Speaker Recognition using Hindi Digit database in clean and noisy environment