HuangTC2022

HuangTC2022

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HuangTC2022's repositories

CodeT5

Code for CodeT5: a new code-aware pre-trained encoder-decoder model.

License:BSD-3-ClauseStargazers:0Issues:0Issues:0

StructCoder

Code for "StructCoder: Structure-Aware Transformer for Code Generation"

License:MITStargazers:0Issues:0Issues:0

transformers

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

License:Apache-2.0Stargazers:0Issues:0Issues:0

RNN-sim

Running massive simulations using RNNs on CPUs for building bots and all kinds of things.

License:GPL-3.0Stargazers:0Issues:0Issues:0

scisumm-corpus

Scientific Document Summarization Corpus and Annotations from the WING NUS group.

License:CC-BY-4.0Stargazers:0Issues:0Issues:0

MNIST_Test

基于minist数据集,利用tensorflow,pytorch学习搭建cnn网络,并对比二者实现过程的差异性

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two-are-better-than-one

Code associated with the paper **Two are Better Than One: Joint Entity and Relation Extraction with Table-Sequence Encoders**, at EMNLP 2020

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mtl-dts

Implementation for "Deeper Task-Specificity Improves Joint Entity and Relation Extraction"

License:MITStargazers:0Issues:0Issues:0
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dygiepp

Span-based system for named entity, relation, and event extraction.

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spert

PyTorch code for SpERT: Span-based Entity and Relation Transformer

License:MITStargazers:0Issues:0Issues:0

Process-Data-of-CNN-DailyMail

This repository holds the output of the repository: https://github.com/abisee/cnn-dailymail

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RSAN

Source code for IJCAI 2020 paper "A Relation-Specific Attention Network for Joint Entity and Relation Extraction"

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simhash

A Python Implementation of Simhash Algorithm

License:MITStargazers:0Issues:0Issues:0

nyahentai.github.io

NyaHentai喵紳士最新網址發布頁

Stargazers:4Issues:0Issues:0

lite-transformer

[ICLR 2020] Lite Transformer with Long-Short Range Attention

License:NOASSERTIONStargazers:0Issues:0Issues:0

pytorch-seq2seq

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

License:MITStargazers:0Issues:0Issues:0

tensor2tensor

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

License:Apache-2.0Stargazers:0Issues:0Issues:0

InterpretableMLBook

《可解释的机器学习--黑盒模型可解释性理解指南》,该书为《Interpretable Machine Learning》中文版

License:GPL-3.0Stargazers:0Issues:0Issues:0

HeterSumGraph

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

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solutions

《神经网络与深度学习》课后习题答案-分享讨论

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ABSA-PyTorch

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。

License:MITStargazers:0Issues:0Issues:0

PtrNetDecoding4JERE

Code for modeling encoder-decoder architecture with pointer network for joint entity and relation extraction (AAAI 2020).

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fast_abs_rl

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

License:MITStargazers:0Issues:0Issues:0

RLSeq2Seq

Deep Reinforcement Learning For Sequence to Sequence Models

License:MITStargazers:0Issues:0Issues:0

Text_to_Knowledge_Graph

Code to construct Knowledge Graph from the textual data

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CNN

用pytorch实现一个CNN对minist数据集进行分类

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knowledge_graph_from_unstructured_text

Building knowledge graph from input data

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Transformer

Transformer seq2seq model, program that can build a language translator from parallel corpus

License:Apache-2.0Stargazers:0Issues:0Issues:0