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AngelBert's Projects

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

bayesian_rnn icon bayesian_rnn

The code for the ACL 2017 paper "Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling"

bert icon bert

TensorFlow code and pre-trained models for BERT

bert-as-service icon bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

chan-dst icon chan-dst

Code for our paper "A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking" (ACL2020)

clue icon clue

中文任务基准测评 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

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!

dpfa_icml2015 icon dpfa_icml2015

The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"

edward icon edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

familia icon familia

A Toolkit for Industrial Topic Modeling

fastnlp icon fastnlp

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

fnlp icon fnlp

中文自然语言处理工具包 Toolkit for Chinese natural language processing

gcmc icon gcmc

Re-Implement "Graph Convolutional Matrix Completion" (PyTorch and PyTorch Geometric)

graphstone icon graphstone

An implementation of "Graph Structural-topic Neural Network"

hello-algorithm icon hello-algorithm

本项目包括:1、我写的 30w 字图解算法题典 2、100 张各领域超清晰思维导图 3、小浩算法网站源代码

hetersumgraph icon hetersumgraph

Code for ACL2020 paper "Heterogeneous Graph Neural Networks for Extractive Document Summarization"

ie-bert-cnn icon ie-bert-cnn

一个关于百度2019语言与智能技术竞赛信息抽取 (http://lic2019.ccf.org.cn/kg) 模型, 模型采用BERT+CNN。DEMO地址 https://github.com/Wangpeiyi9979/InformationExtractionDemo

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