actions-suggest-related-linksA GitHub Action to suggest related or similar issues, documents, and links. Based on the power of NLP and fastText.
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NLP-paper🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/
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MetaCatMinimally Supervised Categorization of Text with Metadata (SIGIR'20)
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ml-with-text[Tutorial] Demystifying Natural Language Processing with Python
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nsmc-zeppelin-notebookMovie review dataset Word2Vec & sentiment classification Zeppelin notebook
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german-sentimentA data set and model for german sentiment classification.
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backpropBackprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
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MetaLifelongLanguageRepository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".
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Graph-Based-TCGraph-based framework for text classification
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X-TransformerX-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification
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rnn-text-classification-tfTensorflow implementation of Attention-based Bidirectional RNN text classification.
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fasttext-serverlessServerless hashtag recommendations using fastText and Python with AWS Lambda
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HiGRUsImplementation of the paper "Hierarchical GRU for Utterance-level Emotion Recognition" in NAACL-2019.
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MLIC-KD-WSDMulti-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection (ACM MM 2018)
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Text tone analyzerСистема, анализирующая тональность текстов и высказываний.
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RE2RNNSource code for the EMNLP 2020 paper "Cold-Start and Interpretability: Turning Regular Expressions intoTrainable Recurrent Neural Networks"
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yunyi2018“云移杯- 景区口碑评价分值预测
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troveWeakly supervised medical named entity classification
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EmbeddingEmbedding模型代码和学习笔记总结
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keras-aquariuma small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.
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QGNNQuaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
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Text-Classification-LSTMs-PyTorchThe aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.
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ganbert-pytorchEnhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace
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Generative MLZSL[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning
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goclassyAn asynchronous concurrent pipeline for classifying Common Crawl based on fastText's pipeline.
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monkeylearn-phpOfficial PHP client for the MonkeyLearn API. Build and consume machine learning models for language processing from your PHP apps.
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feedIOA Feed Aggregator that Knows What You Want to Read.
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mybabeMyBB CAPTCHA Solver using Convolutional Neural Network in Keras
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fasttext-servingServe your fastText models for text classification and word vectors
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alter-nluNatural language understanding library for chatbots with intent recognition and entity extraction.
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text gcn tutorialA tutorial & minimal example (8min on CPU) for Graph Convolutional Networks for Text Classification. AAAI 2019
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fasttext-serverFlask web server to serve supervised models trained with FastText.
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TLAA comprehensive tool for linguistic analysis of communities
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Product-Categorization-NLPMulti-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).
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bns-short-text-similarity📖 Use Bi-normal Separation to find document vectors which is used to compute similarity for shorter sentences.
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Pytorch-NLUPytorch-NLU,一个中文文本分类、序列标注工具包,支持中文长文本、短文本的多类、多标签分类任务,支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…
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TextFeatureSelectionPython library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models
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fastchessPredicts the best chess move with 27.5% accuracy by a single matrix multiplication
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TextCategorization⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.
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Vaaku2VecLanguage Modeling and Text Classification in Malayalam Language using ULMFiT
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10kGNADTen Thousand German News Articles Dataset for Topic Classification
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nlp-ltNatural Language Processing for Lithuanian language
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