An implementation of word2vec applied to [stanford philosophy encyclopedia](http://plato.stanford.edu/)

Object detection and instance segmentation on MaskRCNN with torchvision, albumentations, tensorboard and cocoapi. Supports custom coco datasets with positive/negative samples.

Project page of WSCF (Fast Learning of Spatially Regularized and Content Aware Correlation Filter for Visual Tracking), published in TIP 2020.

OpenLoss: This repository discloses cost functions designed for open-set classification tasks, namely, Entropic Open-set, ObjectoSphere and Maximal-Entropy Loss.

I have shared some files that I worked on in my undergraduate year that may help you structure your logic for a sentiment analysis project. Data files are available upon request.

CS224n : Natural Language Processing with Deep Learning Assignments, Winter 2017, Stanford University.