Project for the Large Scale Optimization course at Skoltech

Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun

Code for papers "A Surprisingly Robust Trick for Winograd Schema Challenge" and "WikiCREM: A Large Unsupervised Corpus for Coreference Resolution"

Repository for paper "SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference"

💬 Sequence to Sequence from Scratch Using Pytorch

My seq2seq based on tensorflow

Videos, notes and experiments to understand deep learning