Stars
scikit-learn: machine learning in Python
A toolkit for developing and comparing reinforcement learning algorithms.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
An open source library for deep learning end-to-end dialog systems and chatbots.
Convolutional Neural Network for Text Classification in Tensorflow
A Python implementation of LightFM, a hybrid recommendation algorithm.
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Neural Collaborative Filtering
TensorFlow implementation of Deep Reinforcement Learning papers
This repo contains our ACL 2017 paper data and source code
Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence (NAACL 2019)
Keras implementation for Deep Embedding Clustering (DEC)
Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.
Modeling Multi-turn Conversation with Deep Utterance Aggregation (COLING 2018)
Code for the paper CVPR‘18 "A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts"
This repository collects some datasets for Ads & RecSys uses, and provide easy-to-use hdf5 iterative access.
Implementation of Adaptive Co-attention Network for Named Entity Recognition in Tweets in AAAI2018.
Joint Bilingual Sentiment Embeddings and Classifier
CLEAR: Cumulative LEARning for one-shot one-class image recognition (CVPR 2018)