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qanet_dureader

QANet+DuReader中文机器阅读理解

qix

Node.Js、Golang、Machine Learning、PostgreSQL、Deep Learning

qlearning

qtrader

Reinforcement Learning for Portfolio Management

quagga

Deep learning library with a focus on NLP

question_answering_models

This repo collects and re-produces models related to domains of question answering and machine reading comprehension

quick-nlp

Pytorch NLP library based on FastAI

quickdraw-dataset

Documentation on how to access and use the Quick, Draw! Dataset.

r-net-in-keras

R-NET implementation in Keras.

race_ar_baselines

rarnn

Recursive application of recurrent neural networks, for hierarchical intent parsing

rasa_nlu

turn natural language into structured data

rc-data

Question answering dataset featured in "Teaching Machines to Read and Comprehend

rcnn

Recurrent & convolutional neural network modules

reactionrnn

Python module + R package to predict the reactions to a given text using a pretrained recurrent neural network.

readingpapers

A guide to reading scientific papers

really-awesome-gan

A list of papers on General Adversarial (Neural) Networks

reasoning_attention

Unofficial implementation algorithms of attention models on SNLI dataset

recurrent-convolutional-neural-network-text-classifier

My (modified) Keras implementation of the Recurrent Convolutional Neural Network (RCNN) described here: http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9745.

recurrentshop

Framework for building complex recurrent neural networks with Keras

reference_games

Conventions in iterated reference games

reinforce

reinforcement learning

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-1

Minimal and Clean Reinforcement Learning Examples

reinforcement-learning-algorithms

This repository contains most of classic deep reinforcement learning algorithms, including - DQN, DDPG, A3C, PPO, TRPO. (More algorithms are still in progress)

reinforcement-learning-notebooks

A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

reinforcement_learning

Implementations of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.

reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

reinforcepy

Collection of reinforcement learners implemented in python. Mainly including DQN and its variants