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arae

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

controlled-text-generation

Reproducing Hu, et. al., ICML 2017's "Toward Controlled Generation of Text"

coreference-resolution

Efficient and clean PyTorch reimplementation of "End-to-end Neural Coreference Resolution" (Lee et al., EMNLP 2017).

counter-sent-generation3

cs61a-solution

my solution for Berkeley cs61a

cs61b_sp19_guojy

my cs61b work

decomp-attn

Decomposable Attention Model for Sentence Pair Classification (from https://arxiv.org/abs/1606.01933)

gcn-cs247

GCN model for cs247

how-to-use-github

This is the supplementary material for "How to Use GitHub" By Siraj Raval on Youtube

infersent

Sentence embeddings (InferSent) and training code for NLI.

natural-adversary

Generating Natural Adversarial Examples, ICLR 2018

pytorch-pretrained-bert

The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

recognizing-textual-entailment

A pyTorch implementation of models used for Recognizing Textual Entailment using the SNLI corpus

sentence-vae

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

sentiment-analysis

snli-decomposable-attention

Decomposable Attention Model for Sentence Pair Classification (Pytorch Version) from paper 'A Decomposable Attention Model for Natural Language Inference' https://arxiv.org/abs/1606.01933

sql-bank

SQL-Bank: Intro to DB Management Project

team-a3

yelpcamp_c9

yelpcamp website