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ML4K-AI-ExtensionUse machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.
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text2classMulti-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT
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Artificial Adversary🗣️ Tool to generate adversarial text examples and test machine learning models against them
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RmdlRMDL: Random Multimodel Deep Learning for Classification
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Text classificationall kinds of text classification models and more with deep learning
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Deep Atrous Cnn SentimentDeep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications
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FastrtextR wrapper for fastText
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Lotclass[EMNLP 2020] Text Classification Using Label Names Only: A Language Model Self-Training Approach
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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。
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GeostatsA tiny and standalone javascript library for classification and basic statistics :
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GuesslangDetect the programming language of a source code
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TextvecText vectorization tool to outperform TFIDF for classification tasks
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Hms Ml DemoHMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.
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Uci Ml ApiSimple API for UCI Machine Learning Dataset Repository (search, download, analyze)
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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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DynamlScala Library/REPL for Machine Learning Research
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3d PointcloudPapers and Datasets about Point Cloud.
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RemixautomlR package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.
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PointasnlPointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling (CVPR 2020)
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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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DgmDirect Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.
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VdcnnImplementation of Very Deep Convolutional Neural Network for Text Classification
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AslOfficial Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(2020) paper
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Applied MlCode and Resources for "Applied Machine Learning"
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SimpletransformersTransformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
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Sparse Evolutionary Artificial Neural NetworksAlways sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).
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SnapeSnape is a convenient artificial dataset generator that wraps sklearn's make_classification and make_regression and then adds in 'realism' features such as complex formating, varying scales, categorical variables, and missing values.
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Sign Language Alphabet RecognizerSimple sign language alphabet recognizer using Python, openCV and tensorflow for training Inception model (CNN classifier).
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ImgclsmobSandbox for training deep learning networks
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Ml CourseStarter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
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HdltexHDLTex: Hierarchical Deep Learning for Text Classification
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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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Color recognition🎨 Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.
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Nlp pytorch projectEmbedding, NMT, Text_Classification, Text_Generation, NER etc.
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FastnlpfastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
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Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
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