HenryWoodOTC

ALiPy

ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.

awesome-embedding-models

A curated list of awesome embedding models tutorials, projects and communities.

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!

CFO

Conditional Focused Neural Question Answering with Large-scale Knowledge Bases

ChineseNER

A neural network model for Chinese named entity recognition

Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow

Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow

DiscriminativeActiveLearning

Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:

Embedding

Knowledge Embedding Framework Powered by XiaoHan.

EntityLinkingRetrieval-ELR

Exploiting entity linking in queries for entity retrieval

FEL

Fast Entity Linker Toolkit for training models to link entities to KnowledgeBase (Wikipedia) in documents and queries.

Google-Interview-University

A complete daily plan for studying to become a Google software engineer :)

Jiagu

Jiagu深度学习自然语言处理工具 中文分词 词性标注 命名实体识别 情感分析 知识图谱关系抽取 新词发现 关键词 文本摘要

learning-to-learn

Learning to Learn in TensorFlow

mimic3-benchmarks

Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.

multi-class-text-classification-cnn-rnn

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Neural-Dialogue-Generation

neural-symbolic-machines

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

NeurboParser

A neural TurboSemanticParser as described in "Deep Multitask Learning for Semantic Dependency Parsing", Peng et al., ACL 2017.

nlp-datasets

A list of datasets/corpora for NLP tasks, in reverse chronological order.

parse_seq2seq

A tensorflow implementation of neural sequence-to-sequence parser for converting natural language queries to logical form.

qebrain

machine translation and quality estimation

simplenlg

Java API for Natural Language Generation. Originally developed by Ehud Reiter at the University of Aberdeen’s Department of Computing Science and co-founder of Arria NLG. This git repo is the official SimpleNLG version.

TADAM

The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning

TensorFlow-NRE

Neural Relation Extraction implemented with LSTM in TensorFlow

TensorFlow-TransX

An implementation of TransE and its extended models for Knowledge Representation Learning on TensorFlow

tensorflow-wavenet

A TensorFlow implementation of DeepMind's WaveNet paper

time_lstm

transformer

A TensorFlow Implementation of the Transformer: Attention Is All You Need

vqa.pytorch

Visual Question Answering in Pytorch

wen_spiders

My spiders.