Ml ProjectsML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
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Bdci2017 MinglueBDCI2017-让AI当法官,决赛第四(4/415)https://www.datafountain.cn/competitions/277/details
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Nlp pytorch projectEmbedding, NMT, Text_Classification, Text_Generation, NER etc.
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Text ClassificationAn example on how to train supervised classifiers for multi-label text classification using sklearn pipelines
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Lotclass[EMNLP 2020] Text Classification Using Label Names Only: A Language Model Self-Training Approach
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Python Stop WordsGet list of common stop words in various languages in Python
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HdltexHDLTex: Hierarchical Deep Learning for Text Classification
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KadotKadot, the unsupervised natural language processing library.
Stars: ✭ 108 (-50%)
Text Classification DemosNeural models for Text Classification in Tensorflow, such as cnn, dpcnn, fasttext, bert ...
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Document Classifier LstmA bidirectional LSTM with attention for multiclass/multilabel text classification.
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TextvecText vectorization tool to outperform TFIDF for classification tasks
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Pyss3A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI
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ContextConText v4: Neural networks for text categorization
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ShallowlearnAn experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
Stars: ✭ 196 (-9.26%)
Rnn Text Classification TfTensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification
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MacadamMacadam是一个以Tensorflow(Keras)和bert4keras为基础,专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。
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FastrtextR wrapper for fastText
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TiaYour Advanced Twitter stalking tool
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Uda pytorchUDA(Unsupervised Data Augmentation) implemented by pytorch
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Parselawdocuments对收集的法律文档进行一系列分析,包括根据规范自动切分、案件相似度计算、案件聚类、法律条文推荐等(试验目前基于婚姻类案件,可扩展至其它领域)。
Stars: ✭ 138 (-36.11%)
Bible text gcnPytorch implementation of "Graph Convolutional Networks for Text Classification"
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Spark NlpState of the Art Natural Language Processing
Stars: ✭ 2,518 (+1065.74%)
Bert servingexport bert model for serving
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Marktool这是一款基于web的通用文本标注工具,支持大规模实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的自动标注以及用于实现归一化的标准名标注,同时也支持文本的迭代标注和实体的嵌套标注。标注规范可自定义且同类型任务中可“一次创建多次复用”。通过分级实体集合扩大了实体类型的规模,并设计了全新高效的标注方式,提升了用户体验和标注效率。此外,本工具增加了审核环节,可对多人的标注结果进行一致性检验和调整,提高了标注语料的准确率和可靠性。
Stars: ✭ 190 (-12.04%)
Nlp estimator tutorialEducational material on using the TensorFlow Estimator framework for text classification
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TextanalyzerA text analyzer which is based on machine learning,statistics and dictionaries that can analyze text. So far, it supports hot word extracting, text classification, part of speech tagging, named entity recognition, chinese word segment, extracting address, synonym, text clustering, word2vec model, edit distance, chinese word segment, sentence similarity,word sentiment tendency, name recognition, idiom recognition, placename recognition, organization recognition, traditional chinese recognition, pinyin transform.
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Nlp classificationImplementing nlp papers relevant to classification with PyTorch, gluonnlp
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Rcnn Text ClassificationTensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)
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Dan Jurafsky Chris Manning NlpMy solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.
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SimpletransformersTransformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
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Nlp Pretrained ModelA collection of Natural language processing pre-trained models.
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VdcnnImplementation of Very Deep Convolutional Neural Network for Text Classification
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Multi Label classificationtransform multi-label classification as sentence pair task, with more training data and information
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DeltaDELTA is a deep learning based natural language and speech processing platform.
Stars: ✭ 1,479 (+584.72%)
Classify Text"20 Newsgroups" text classification with python
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Texting[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"
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NeuronblocksNLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego
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BrowsecloudA web app to create and browse text visualizations for automated customer listening.
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Doc2vec📓 Long(er) text representation and classification using Doc2Vec embeddings
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KashgariKashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
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Monkeylearn PythonOfficial Python client for the MonkeyLearn API. Build and consume machine learning models for language processing from your Python apps.
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Icdar 2019 SroieICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction
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JfasttextJava interface for fastText
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FastnlpfastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
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Onnxt5Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.
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