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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.
A curated list of awesome embedding models tutorials, projects and communities.
An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!
Conditional Focused Neural Question Answering with Large-scale Knowledge Bases
A neural network model for Chinese named entity recognition
Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:
Knowledge Embedding Framework Powered by XiaoHan.
Exploiting entity linking in queries for entity retrieval
Fast Entity Linker Toolkit for training models to link entities to KnowledgeBase (Wikipedia) in documents and queries.
A complete daily plan for studying to become a Google software engineer :)
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 in TensorFlow
Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.
A neural TurboSemanticParser as described in "Deep Multitask Learning for Semantic Dependency Parsing", Peng et al., ACL 2017.
A list of datasets/corpora for NLP tasks, in reverse chronological order.
A tensorflow implementation of neural sequence-to-sequence parser for converting natural language queries to logical form.
machine translation and quality estimation
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.
The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning
Neural Relation Extraction implemented with LSTM in TensorFlow
An implementation of TransE and its extended models for Knowledge Representation Learning on TensorFlow
A TensorFlow implementation of DeepMind's WaveNet paper
A TensorFlow Implementation of the Transformer: Attention Is All You Need
Visual Question Answering in Pytorch