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The code for our paper Hierarchical Interactive Multimodal Transformer for Aspect-Based Multimodal Sentiment Analysis
A Collection of Variational Autoencoders (VAE) in PyTorch.
Vector (and Scalar) Quantization, in Pytorch
搞定C :punch:。C Primer 中文版第5版学习仓库,包括笔记和课后练习答案。
The datasets and code of ACL 2021 paper "Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions".
The code of COLING2020 paper "Aspect-Category based Sentiment Analysis with Hierarchical Graph Convolutional Network".
ccks baidu entity link 实体链接 第一名
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Preprocessed Datasets for our Multimodal NER paper
Pytorch-Named-Entity-Recognition-with-transformers
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力
Transformer-based image captioning extension for pytorch/fairseq
Dense image captioning in Torch
maxy0524 / image_captioning
Forked from DeepRNN/image_captioningTensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention" Support python3.6, python3.7 TensorFlow1.8 TensorFlow1.12 TensorFlow1.13 TensorFlow1.14 n…
100 Chinese Word Vectors 上百种预训练中文词向量
Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"
Automatic image captioning model based on Caffe, using features from bottom-up attention.
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C /Python/面试笔记,此外,还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的,其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。
Must-read papers on graph neural networks (GNN)
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Joint Sentiment-Topic Model using collapsed Gibbs sampling
Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence (NAACL 2019)
PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".