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Practical Machine Learning With PythonMaster the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
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MixtextMixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
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FixyAmacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.
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Deeptoxictop 1% solution to toxic comment classification challenge on Kaggle.
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Practical PytorchGo to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
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NlpaugData augmentation for NLP
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Dat8General Assembly's 2015 Data Science course in Washington, DC
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Tensorflow NlpNLP and Text Generation Experiments in TensorFlow 2.x / 1.x
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Nlp TutorialTutorial: Natural Language Processing in Python
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NerNamed Entity Recognition
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ZhihuThis repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
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Nlp profilerA simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.
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NelEntity linking framework
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ArticutapiAPI of Articut 中文斷詞 (兼具語意詞性標記):「斷詞」又稱「分詞」,是中文資訊處理的基礎。Articut 不用機器學習,不需資料模型,只用現代白話中文語法規則,即能達到 SIGHAN 2005 F1-measure 94% 以上,Recall 96% 以上的成績。
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Deepnlp Models PytorchPytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
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AdaptnlpAn easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
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Autonlp🤗 AutoNLP: train state-of-the-art natural language processing models and deploy them in a scalable environment automatically
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GraphbrainLanguage, Knowledge, Cognition
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Nlp Papers With ArxivStatistics and accepted paper list of NLP conferences with arXiv link
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Clause🏇 聊天机器人,自然语言理解,语义理解
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Transformers TutorialsGithub repo with tutorials to fine tune transformers for diff NLP tasks
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