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2016bytecup

2016 Byte Cup国际机器学习竞赛

acl_ckbc

albumy

A photo-sharing social networking built with Flask.

ali2015

为天池数据竞赛写的自动化特征工程和训练工具，可以通过配置的方式从mysql数据库中生成特征。同时重新封装了数据，特征和模型，使其可以被自动化测试系统识别及调用。待完成的工作：自动化测试系统的调度关键技术。

atari-deep-reinforcement-learning

Deep Reinforcement learning to play Atari games with some changes to DeepMind's code

awesome-question-answering

Resources, datasets, papers on Question Answering

bidirectional-lstm-crf-for-clinical-concept-extraction

Bidirectional LSTM-CRF for Clinical Concept Extraction using i2b2-2010 data

bioqa

QA pipeline based on BaseQA and designed for biomedical related QA problems, like TREC Genomics tasks.

bluelog

A blog engine built with Flask.

castor

Deep learning for information retrieval with PyTorch

chinesener

A neural network model for Chinese named entity recognition

cnn-text-classification-pytorch

CNNs for Sentence Classification in PyTorch

deep-qa

Implementation of the Convolution Neural Network for factoid QA on the answer sentence selection task

deep-semantic-similarity-model

My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.

deepqa

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

densitycluster

An implement for 'Clustering by fast search and find of density peaks' in science 2014.

drqa

Reading Wikipedia to Answer Open-Domain Questions

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

graph-parser

GraphParser is a semantic parser which can convert natural language sentences to logical forms and graphs.

hello-world

helloflask

Flask Web 开发实战

kg-beijing

北京知识图谱学习小组

lstm-crf-models

LSTM-CRF models for sequence labeling in text.

lstm_seq2seq

18794 team project with keras

mario-ai

Playing Mario with Deep Reinforcement Learning

nlp_serde

Serialization and Deserialization for NLP Annotated Documents.

nlpcc2016kbqa

KBQA based on the NLPCC2016 dataset, including reimplementation of NLPCC2016 best team`s QA.

nqg

neural question generation for reading comprehension

qa

A Chinese Question and Answer System

qa-1

A simple QA system for English factual questions in Python.