Spacy💫 Industrial-strength Natural Language Processing (NLP) in Python
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FreemlA List of Data Science/Machine Learning Resources (Mostly Free)
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ServenetService Classification based on Service Description
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PynlplPyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).
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Dm HaikuJAX-based neural network library
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ErnieOfficial implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.
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NlpiaExamples and libraries for "Natural Language Processing in Action" book
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Nn playgroundExperimental keras implementation of novel neural network structures
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Deepnlp基于深度学习的自然语言处理库
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Cogcomp NlpCogComp's Natural Language Processing libraries and Demos:
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BpembPre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)
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EccoVisualize and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2).
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SockeyeSequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
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Re Verbspeaker diarization system using an LSTM
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Deeplearning.aideeplearning.ai , By Andrew Ng, All video link
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Gnn4nlp PapersA list of recent papers about Graph Neural Network methods applied in NLP areas.
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Pytorch CpnA PyTorch re-implementation of CPN (Cascaded Pyramid Network for Multi-Person Pose Estimation)
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DltDeep Learning Toolbox for Torch
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Detection 2016 NipswsHierarchical Object Detection with Deep Reinforcement Learning
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My Cs DegreeA CS degree with a focus on full-stack ML engineering, 2020
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BertTensorFlow code and pre-trained models for BERT
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DeeprobustA pytorch adversarial library for attack and defense methods on images and graphs
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BlocksBlocks World -- Simulator, Code, and Models (Misra et al. EMNLP 2017)
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Tf Seq2seqSequence to sequence learning using TensorFlow.
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DeepfacelabDeepFaceLab is the leading software for creating deepfakes.
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MultiwozSource code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)
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Nlp ProgressRepository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
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VadVoice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.
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WikisqlA large annotated semantic parsing corpus for developing natural language interfaces.
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Nideepcollection of utilities to use with deep learning libraries (e.g. caffe)
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StanzaOfficial Stanford NLP Python Library for Many Human Languages
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