Code to convert static datasets into simulated data streams

Explanation to key concepts in ML

Comparing a baseline and a SOTA NLP model (XLNet) for the sentiment classification problem

Machine Learning and Computer Vision Engineer - Technical Interview Questions

The project is intended to Parse TEI-XML formatted book files, extracted information of interest out of it (e.g. Named Entities, Time tags, etc.), and transform all the books into three disjoint se…

Image caption generation using GRU-based attention mechanism

Classifying the sentiment of sentences from the Rotten Tomatoes dataset

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Predicting trajectory paths of novel compounds employing RNN-based models (computational chemistry simulation-based problem)