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jt17383's Projects

absa-bert-pair icon absa-bert-pair

Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence (NAACL 2019)

ads-recsys-datasets icon ads-recsys-datasets

This repository collects some datasets for Ads & RecSys uses, and provide easy-to-use hdf5 iterative access.

anuvada icon anuvada

Interpretable Models for NLP using PyTorch

automl_challenge icon automl_challenge

This is a "supervised learning" challenge in machine learning. We are making available 30 datasets, all pre-formatted in given feature representations (this means that each example consists of a fixed number of numerical coefficients). The challenge is to solve classification and regression problems, without any further human intervention.

blse icon blse

Joint Bilingual Sentiment Embeddings and Classifier

dec-keras icon dec-keras

Keras implementation for Deep Embedding Clustering (DEC)

deep-content-user icon deep-content-user

An implementation of "Deep Content-User Embedding Model for Music Recommendation" in Keras

deeppavlov icon deeppavlov

An open source library for deep learning end-to-end dialog systems and chatbots.

fastai icon fastai

The fastai deep learning library, plus lessons and and tutorials

fasttext icon fasttext

Library for fast text representation and classification.

flair icon flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

lda2vec-tf icon lda2vec-tf

tensorflow port of the lda2vec model for unsupervised learning of document + topic + word embeddings

lectures-labs icon lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

lstm-oreilly icon lstm-oreilly

How to build a Multilayered LSTM Network to infer Stock Market sentiment from social conversation using TensorFlow.

make-ipinyou-data icon make-ipinyou-data

This project is to formalise the iPinYou RTB data into a standard format for further researches.

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