context2vecPyTorch implementation of context2vec from Melamud et al., CoNLL 2016
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Mobilenet YoloMobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥
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spertPyTorch code for SpERT: Span-based Entity and Relation Transformer
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knowledge-graph-nlp-in-action从模型训练到部署,实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。
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Mnist ClassificationPytorch、Scikit-learn实现多种分类方法,包括逻辑回归(Logistic Regression)、多层感知机(MLP)、支持向量机(SVM)、K近邻(KNN)、CNN、RNN,极简代码适合新手小白入门,附英文实验报告(ACM模板)
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OpenUEOpenUE是一个轻量级知识图谱抽取工具 (An Open Toolkit for Universal Extraction from Text published at EMNLP2020: https://aclanthology.org/2020.emnlp-demos.1.pdf)
Stars: ✭ 274 (-3.18%)
Min nlp practiceChinese & English Cws Pos Ner Entity Recognition implement using CNN bi-directional lstm and crf model with char embedding.基于字向量的CNN池化双向BiLSTM与CRF模型的网络,可能一体化的完成中文和英文分词,词性标注,实体识别。主要包括原始文本数据,数据转换,训练脚本,预训练模型,可用于序列标注研究.注意:唯一需要实现的逻辑是将用户数据转化为序列模型。分词准确率约为93%,词性标注准确率约为90%,实体标注(在本样本上)约为85%。
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ner-dPython module for Named Entity Recognition (NER) using natural language processing.
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HiCECode for ACL'19 "Few-Shot Representation Learning for Out-Of-Vocabulary Words"
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CodesearchnetDatasets, tools, and benchmarks for representation learning of code.
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Etaggerreference tensorflow code for named entity tagging
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SLK-NERSource code for SEKE 2020 paper "SLK-NER: Exploiting Second-order Lexicon Knowledge for Chinese NER"
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FacedetectorA re-implementation of mtcnn. Joint training, tutorial and deployment together.
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Stanford-NER-PythonStanford Named Entity Recognizer (NER) - Python Wrapper
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CaptcharecognitionEnd-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别
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Selecsls PytorchReference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".
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Pytorch Pos TaggingA tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
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Mobilenet V2 CaffeMobileNet-v2 experimental network description for caffe
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Crnn PytorchPytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.
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Grad Cam🌈 📷 Gradient-weighted Class Activation Mapping (Grad-CAM) Demo
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neuralnets-semanticsWord semantics Deep Learning with Vanilla Python, Keras, Theano, TensorFlow, PyTorch
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Geo Deep LearningDeep learning applied to georeferenced datasets
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CnnforandroidThe Convolutional Neural Network(CNN) for Android
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nervaluateFull named-entity (i.e., not tag/token) evaluation metrics based on SemEval’13
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Snail PytorchImplementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch
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LightnetEfficient, transparent deep learning in hundreds of lines of code.
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sembei🍘 単語分割を経由しない単語埋め込み 🍘
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Wb color augmenterWB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].
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Cnn FixationsVisualising predictions of deep neural networks
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QuestionClusteringClasificador de preguntas escrito en python 3 que fue implementado en el siguiente vídeo: https://youtu.be/qnlW1m6lPoY
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Tensorflow Cifar 10Cifar-10 CNN implementation using TensorFlow library with 20% error.
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Pytorch SaltnetKaggle | 9th place single model solution for TGS Salt Identification Challenge
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Single Human Parsing LipPSPNet implemented in PyTorch for single-person human parsing task, evaluating on Look Into Person (LIP) dataset.
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Image Compression CnnSemantic JPEG image compression using deep convolutional neural network (CNN)
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DltkDeep Learning Toolkit for Medical Image Analysis
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Recursive CnnsImplementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."
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Pcn NcnnPCN based on ncnn framework.
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weak-supervision-for-NERFramework to learn Named Entity Recognition models without labelled data using weak supervision.
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Dgc NetA PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"
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contextualLSTMContextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning
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LcnnLCNN: End-to-End Wireframe Parsing
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Mobilenetv2A Keras implementation of MobileNetV2.
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Chatbot nerchatbot_ner: Named Entity Recognition for chatbots.
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CnnvisualizerVisualizer for Deep Neural Networks
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