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)

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

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

Setup and customize deep learning environment in seconds.

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

Differentiable convex optimization layers

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)

Toxic Comment Classification Challenge

Code for the paper CVPR‘18 "A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts"

Next Utterance Classification

Deep Embedding Clustering in Keras

Interpretable Models for NLP using PyTorch

Just another AI project

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.

Convert SVG figures to TiKZ

Joint Bilingual Sentiment Embeddings and Classifier