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xuehuiquan's Projects

bi-att-flow icon bi-att-flow

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

cs224n-stanford-winter-2019 icon cs224n-stanford-winter-2019

The collection of ALL relevant materials about CS224N-Stanford/Winter 2019 course. THANKS TO THE PROFESSOR AND TAs! 斯坦福大学CS224N 【2019】课程的【所有】相关的资料。感谢Chris Manning教授和Abigail See,感谢所有助教!

golden-retriever icon golden-retriever

Authors' implementation of EMNLP-IJCNLP 2019 paper "Answering Complex Open-domain Questions Through Iterative Query Generation"

javaguide icon javaguide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!

leetcode-go icon leetcode-go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

machine-learning icon machine-learning

:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

models icon models

Models and examples built with TensorFlow

multird icon multird

Code and data of the AAAI-20 paper "Multi-channel Reverse Dictionary Model"

practical-pytorch icon practical-pytorch

DEPRECATED and not maintained - see official repo at https://github.com/pytorch/tutorials

practicalai icon practicalai

📚 A practical approach to machine learning to enable everyone to learn, explore and build.

pytorch-seq2seq icon pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

research icon research

novel deep learning research works with PaddlePaddle

tensor2tensor icon tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tf-rnn-attention icon tf-rnn-attention

Tensorflow implementation of attention mechanism for text classification tasks.

transformers icon transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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