ZhengDeQuan's starred repositories

codalab-worksheets

A collaborative platform for reproducible research (web interface and CLI).

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SNNs

Tutorials and implementations for "Self-normalizing networks"

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graph-networks

A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined

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tensorflow-build-archived

TensorFlow binaries supporting AVX, FMA, SSE

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ChineseNLPCorpus

中文自然语言处理数据集,平时做做实验的材料。欢迎补充提交合并。

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capsule-pytorch

A pytorch implementation of CapsNet for text classification 汽车行业用户观点主题及情感识别为例(subject-and-sentiment-analysis)

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capsule-mrc

基于capsule的观点型阅读理解模型

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attention-networks-for-classification

Hierarchical Attention Networks for Document Classification in PyTorch

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textClassifier

Text classifier for Hierarchical Attention Networks for Document Classification

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mrc_bert_baseline

A BERT-Based Machine Reading Comprehension Baseline

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dream

DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension

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CCCapsNet

A PyTorch implementation of Compositional Coding Capsule Network based on PRL 2022 paper "Compositional Coding Capsule Network with K-Means Routing for Text Classification"

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Capsule4TextClassification

Sequence Encoding via Dynamic Routing for Text Classification

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Capsule-Text-Classification

利用keras搭建的胶囊网络(capsule network文本分类模型,包含RNN、CNN、HAN等,其中keras_utils包含了capsule层和attention层的keras实现

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DuReader

Baseline Systems of DuReader Dataset

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knowledge-driven-dialogue

baseline system of knowledge driven dialogue competition

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ChineseNRE

中文实体关系抽取,pytorch,bilstm+attention

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pytorch-relation-extraction

distant supervised relation extraction models: PCNN MIL (Zeng 2015), PCNN+ATT(Lin 2016). 关系抽取

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SDNet

SDNet

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text-segmentation

Implementation of the paper: Text Segmentation as a Supervised Learning Task

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Awesome-Chinese-NLP

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

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Match-LSTM

A PyTorch implemention of Match-LSTM, R-NET and M-Reader for Machine Reading Comprehension

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MatchLSTM-PyTorch

a pytorch implementation of match lstm question answering model

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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.

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clip-as-service

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

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leetcode

Python & JAVA Solutions for Leetcode

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leetcode-python

LeetCode problems in Python

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lc-all-solutions

My own leetcode solutions by python

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