Stars
scikit-learn: machine learning in Python
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A toolkit for developing and comparing reinforcement learning algorithms.
Visualizer for neural network, deep learning and machine learning models
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Unsupervised text tokenizer for Neural Network-based text generation.
An open source library for deep learning end-to-end dialog systems and chatbots.
An adversarial example library for constructing attacks, building defenses, and benchmarking both
A Python-embedded modeling language for convex optimization problems.
Convolutional Neural Network for Text Classification in Tensorflow
A Python implementation of LightFM, a hybrid recommendation algorithm.
A List of Recommender Systems and Resources
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Neural Collaborative Filtering
TensorFlow implementation of Deep Reinforcement Learning papers
Dual LSTM Encoder for Dialog Response Generation
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
This repo contains our ACL 2017 paper data and source code
A script that creates train, valid and test datasets for the ranking task from Ubuntu corpus dialogs.
Collection of LaTeX resources and examples.
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)