wjbianjason Goto Github PK

answer_selection

ar_marine_fly_in_life

一个小的AR尝试，让一艘科幻战舰飞翔在你的身边，你可以用键盘尝试操控它前后左右，并且可以尝试调整摄像头近距离不同角度观察这艘战舰

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

bluetooth

蓝牙通信画图，原用于水表的水量检测，启动应用后连上蓝牙模块即可

deep-theano-rnn-lstm-car

Pack of Drones: Layered reinforcement learning (Q-learning w/ RNN) for complex "hunt" behaviors

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

deer

DEEp Reinforcement learning framework

dialog_research

dialog response generate/dialog state track research

dien

dirbot

Scrapy project to scrape public web directories (educational)

dmn-tensorflow

Dynamic Memory Networks (https://arxiv.org/abs/1603.01417) in Tensorflow

dynamic-clip-attention

Implemention of A Compare-Aggregate Model with Dynamic-Clip Attention for Answer Selection

em_me

just taste to run Expectation Maximization and Maximum Entropy algorithm

feature_select

kinds of feature select methods

fork_chan.py

fork

fuck-login

模拟登录一些知名的网站，为了方便爬取需要登录的网站

hand-gesture-detection

have a try in hand-gesture-detection

hand_writing_gbdt_svm_rnn

手写gbdt、svm、rnn等程序练手

headlines

Automatically generate headlines to short articles

hed-dlg-truncated

Hierarchical Encoder Decoder RNN (HRED) with Truncated Backpropagation Through Time (Truncated BPTT)

insuranceqa

A question answering corpus in insurance domain

irda

借助蓝牙的手机红外遥控APP，可自学习，自带NEC编码

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

keras_qa_based_question_selection

Keras-Based LSTM Conv model for Question Selection

models

Models built with TensorFlow

nce-cnn-torch

Noise-Contrastive Estimation for Question Answering with Convolutional Neural Networks (Rao et al. CIKM 2016)

neural-chatbot

A chatbot based on seq2seq architecture done with tensorflow.

numpy-100

100 numpy exercises (100% complete)

opennmt-py

Open-Source Neural Machine Translation in PyTorch http://opennmt.net/

pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"