Concise Ipython Notebooks For Deep LearningIpython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
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Bert ChainerChainer implementation of "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"
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SimpletransformersTransformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
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Hrnet Semantic SegmentationThe OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
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DeepcorrectText and Punctuation correction with Deep Learning
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Eda nlpData augmentation for NLP, presented at EMNLP 2019
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Odsc 2020 nlpRepository for ODSC talk related to Deep Learning NLP
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Cluener2020CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition
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Bert ocr.pytorchUnofficial PyTorch implementation of 2D Attentional Irregular Scene Text Recognizer
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Multi Label classificationtransform multi-label classification as sentence pair task, with more training data and information
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Text ClassificationImplementation of papers for text classification task on DBpedia
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Etaggerreference tensorflow code for named entity tagging
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Chatito🎯🗯 Generate datasets for AI chatbots, NLP tasks, named entity recognition or text classification models using a simple DSL!
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Graph TransformerTransformer for Graph Classification (Pytorch and Tensorflow)
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Eda nlp for chineseAn implement of the paper of EDA for Chinese corpus.中文语料的EDA数据增强工具。NLP数据增强。论文阅读笔记。
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CakechatCakeChat: Emotional Generative Dialog System
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Nlp RecipesNatural Language Processing Best Practices & Examples
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Classify Text"20 Newsgroups" text classification with python
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TiaYour Advanced Twitter stalking tool
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WenetProduction First and Production Ready End-to-End Speech Recognition Toolkit
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Icdar 2019 SroieICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction
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Setr PytorchRethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
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Multi Class Text Classification Cnn RnnClassify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
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Speech TransformerA PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.
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Tre[AKBC 19] Improving Relation Extraction by Pre-trained Language Representations
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Practical seq2seqA simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly
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Seq2seqMinimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch
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Ngx Dynamic Form BuilderFormBuilder + class-transformer + class-validator = dynamic form group builder for Angular10+
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Hanlp中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
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Doc2vec📓 Long(er) text representation and classification using Doc2Vec embeddings
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Seq2seq.pytorchSequence-to-Sequence learning using PyTorch
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FormerSimple transformer implementation from scratch in pytorch.
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The Story Of HeadsThis is a repository with the code for the ACL 2019 paper "Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned" and the paper "Analyzing Source and Target Contributions to NMT Predictions".
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Nmt KerasNeural Machine Translation with Keras
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Bible text gcnPytorch implementation of "Graph Convolutional Networks for Text Classification"
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Awesome Visual TransformerCollect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
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BrowsecloudA web app to create and browse text visualizations for automated customer listening.
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VdcnnImplementation of Very Deep Convolutional Neural Network for Text Classification
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Seq2seq Signal PredictionSignal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
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Turbotransformersa fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.
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Tacotron PytorchA Pytorch Implementation of Tacotron: End-to-end Text-to-speech Deep-Learning Model
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Bert KerasKeras implementation of BERT with pre-trained weights
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Chatbot cn基于金融-司法领域(兼有闲聊性质)的聊天机器人,其中的主要模块有信息抽取、NLU、NLG、知识图谱等,并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口
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HdltexHDLTex: Hierarchical Deep Learning for Text Classification
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