yuan39,github

qa-system

Implemented a QA System. This is the code for the NLPCC-ICCPOL shared task "Open Domain Question Answering."

questionansweringsystem

QuestionAnsweringSystem是一个Java实现的人机问答系统，能够自动分析问题并给出候选答案。

Python-caffe simplified implementation of the R-CNN object detection method. I have taken as a starting point the caffe ipython-notebook available at http://nbviewer.ipython.org/github/BVLC/caffe/blob/master/examples/detection.ipynb . The tutorial requires the use of matlab code for calculating selective search bounding boxes. This make it hard to use and slow. Thus, I have implemented bounding boxes proposal with a pythonized BING that I have implemented in another repository. I have also changed the interaction with the script so that the result is a nicer demo.

random-forest-matlab

A Random Forest implementation for MATLAB. Supports arbitrary weak learners that you can define.

reinforcejs

Reinforcement Learning Agents in Javascript (Dynamic Programming, Temporal Difference, Deep Q-Learning, Stochastic/Deterministic Policy Gradients)

reinforcement-learning-an-introduction

Python code for Reinforcement Learning: An Introduction

restrictedboltzmannmachine

Neural network trained as a generative model on the MNIST dataset using Persistent Contrastive Divergence.

rlscore

rnn-tutorial-gru-lstm

Language Model GRU with Python and Theano

rnnsharp

RNNSharp is a toolkit of recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling. It's written by C# language and based on .NET framework 4.0 or above version.