nguyenvo09

AwesomeFakeNews

This repository contains recent research on fake news.

CombatingFakeNews

This is the repository of code and dataset for paper "The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News", SIGIR 2018

Double-Attention-Network

This is the PyTorch implementation of Double Attention Network, NIPS 2018

EACL2021

This is the PyTorch code + data repository for paper "Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection", EACL 2021

EMNLP2020

This is official Pytorch code and datasets of the paper "Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News", EMNLP 2020.

eng-practices

Google's Engineering Practices documentation

fact_checking_url_resys

fake_news_detection_deep_learning

Fake News Detection using Deep Learning models in Tensorflow

LearningFromFactCheckers

This is the repository of Pytorch code and dataset for paper "Learning from Fact-checkers: Analysis and Generation of Fact-checking Language", SIGIR 2019

mcmc

This repository is for community detection metrics such as ARI, NMI, Purity, Normalized Cut and Modularity.

nguyenvo09/mt-dnn

Multi-Task Deep Neural Networks for Natural Language Understanding

nguyenvo09/attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

nguyenvo09/caser_pytorch

A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)

nguyenvo09/CaseRecommender

Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems

nguyenvo09/cnnimageretrieval-pytorch

CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

nguyenvo09/contextual-repr-analysis

A toolkit for evaluating the linguistic knowledge and transferability of contextual representations. Code for "Linguistic Knowledge and Transferability of Contextual Representations", to appear at NAACL 2019.

nguyenvo09/Deep-Learning-for-Recommendation-Systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

nguyenvo09/deep-relevance-ranking

Deep Relevance Ranking Using Enhanced Document-Query Interactions

nguyenvo09/Deep_metric

Deep Metric Learning Accepted by CVPR-2019

nguyenvo09/DeepMoji

State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.

nguyenvo09/DeepRecommender

Deep learning for recommender systems

nguyenvo09/detecting-incongruity

[AAAI-19] Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder

nguyenvo09/joint-kg-recommender

nguyenvo09/KnowledgeGraphEmbedding

nguyenvo09/lazynlp

Library to scrape and clean web pages to create massive datasets.

nguyenvo09/livebot

LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts (AAAI 2019)

nguyenvo09/MatchZoo

Facilitating the design, comparison and sharing of deep text matching models.

nguyenvo09/MultiTurnResponseSelection

This repo contains our ACL paper data and source code

nguyenvo09/nextitnet

A Simple Convolutional Generative Network for Next Item Recommendation

nguyenvo09/pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

nguyenvo09/pyGRU4REC

PyTorch Implementation of Session-based Recommendations with Recurrent Neural Networks(ICLR 2016, Hidasi et al.)

nguyenvo09/pytorch-openai-transformer-lm

🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

nguyenvo09/Rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

nguyenvo09/reco-gym

Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

nguyenvo09/recoder

Large scale training of factorization models for Collaborative Filtering with PyTorch

nguyenvo09/reversible-rnn

Code for reversible recurrent neural networks

nguyenvo09/SGC

official implementation for the paper "Simplifying Graph Convolutional Networks"

nguyenvo09/SR-GNN

Source code and datasets for paper "Session-based Recommendation with Graph Neural Networks"

nguyenvo09/tcop-pytorch

tunz's CUDA pytorch operator (MaskedSoftmax)

nguyenvo09/VQA2.0-Recent-Approachs-2018.pytorch

A pytroch reimplementation of "Bilinear Attention Network", "Intra- and Inter-modality Attention", "Learning Conditioned Graph Structures", "Learning to count object", "Bottom-up top-down" for Visual Question Answering 2.0