Haijiang Wu's repositories

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.

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awesome-embedding-models

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

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awesome-public-datasets

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

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CFO

Conditional Focused Neural Question Answering with Large-scale Knowledge Bases

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ChineseNER

A neural network model for Chinese named entity recognition

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

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

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DiscriminativeActiveLearning

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

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Embedding

Knowledge Embedding Framework Powered by XiaoHan.

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EntityLinkingRetrieval-ELR

Exploiting entity linking in queries for entity retrieval

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FEL

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

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Google-Interview-University

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

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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

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learning-to-learn

Learning to Learn in TensorFlow

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mimic3-benchmarks

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

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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.

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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.

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NeurboParser

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

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nlp-datasets

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

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parse_seq2seq

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

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qebrain

machine translation and quality estimation

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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.

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TADAM

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

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TensorFlow-NRE

Neural Relation Extraction implemented with LSTM in TensorFlow

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TensorFlow-TransX

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

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tensorflow-wavenet

A TensorFlow implementation of DeepMind's WaveNet paper

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transformer

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

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vqa.pytorch

Visual Question Answering in Pytorch

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wen_spiders

My spiders.

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