xuyanfu

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.

BIU-RPI-Event-Extraction-Project

deepdive

DeepDive

RASAOpenQA

RE3QA

Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension

RelationClassification-RL

Reinforcement Learning for Relation Classification from Noisy Data(AAAI2018)

sampler

DimmWitted Gibbs Sampler in C++ — ⚠️🚧🛑 REPO MOVED TO DEEPDIVE 👉🏿

smp2018

smp2018用户画像技术评测

tensor2tensor

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

TensorFlow_RLRE

Reinforcement Learning for Relation Classification from Noisy Data(TensorFlow)

xuyanfu/TensorFlow_RLRE

Reinforcement Learning for Relation Classification from Noisy Data(TensorFlow)

xuyanfu/smp2018

smp2018用户画像技术评测

xuyanfu/RASAOpenQA

xuyanfu/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.

xuyanfu/BIU-RPI-Event-Extraction-Project

xuyanfu/deepdive

DeepDive

xuyanfu/RE3QA

Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension

xuyanfu/RelationClassification-RL

Reinforcement Learning for Relation Classification from Noisy Data(AAAI2018)

xuyanfu/sampler

DimmWitted Gibbs Sampler in C++ — ⚠️🚧🛑 REPO MOVED TO DEEPDIVE 👉🏿

xuyanfu/tensor2tensor

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

xuyanfu/transformers

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

xuyanfu/word2gm

Word to Gaussian Mixture Model