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Shantanu Nandan's Projects

ai-and-iot-based-baby-monitoring-system icon ai-and-iot-based-baby-monitoring-system

In today’s world, parents are coming across infant injuries that are happening every now and then. This is because of lack of parent’s attention on their infants.The most common cause of infant injury is falls, which account for more than 50% of all seriously injured children. Beds are linked to the most injuries up to age of 16 months, mostly because infants fall, roll, or slide off them.

anlp icon anlp

Applied Natural Language Processing course code(s)

attention-ocr icon attention-ocr

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

beerclassifier icon beerclassifier

Sample app to classify beer bottle using Keras / Turi Create and Core ML.

cascadetabnet icon cascadetabnet

This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"

darkflow icon darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

deep-learning-for-hackers icon deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

deepcluster icon deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

detoxify icon detoxify

Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers.

emopy icon emopy

A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)

face_classification icon face_classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

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