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a-hierarchical-latent-structure-for-variational-conversation-modeling

PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)

active-learning

adaptive-span

Adaptive Attention Span in Transformers

allennlp

An open-source NLP research library, built on PyTorch.

alstp

Implementation for our TOIS paper --- Attentive Long Short-Term Preference Modeling for Personalized Product Search.

amr

This is our official implementation for the paper: Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversarial Training Towards Robust Multimedia Recommender System.

attention-is-all-you-need-pytorch

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

attentive-group-recommendation

Atentive Group Recommendation

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

autoencoding_vi_for_topic_models

Tensorflow implementation for prodLDA and NVLDA.

awesome-intent-analysis

Reading list for research topics in intent analysis.

awesomefakenews

This repository contains recent research on fake news.

caser_pytorch

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

caserecommender

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

claim-rank

clef2018-factchecking

Contains data, format checker, scorer and baselines for the CLEF2018-factcheking task.

cnnimageretrieval-pytorch

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

cofactor

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

collaborative-denoising-autoencoder

Implementation of Deep Learning model for Recommendation System in Tensorflow

collaborativevae

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

communitydetection

KDD Course Project - Implementation of Community Detection Algorithms and Evaluations and Some Datasets

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.

convcap

convmf

Code for our paper Convolutaional Matrix Factorization for Document Context-Aware Recommendation (RecSys 2016)

corescope

CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies and Algorithms

deep-active-learning

Deep Active Learning

deep-atrous-ner

Deep-Atrous-CNN-NER: Word level model for Named Entity Recognition

deep-learning-for-recommendation-systems

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

deep-listwise-context-model-for-ranking-refinement

A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.