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Multiple Relations Extraction Only Look OnceMultiple-Relations-Extraction-Only-Look-Once. Just look at the sentence once and extract the multiple pairs of entities and their corresponding relations. 端到端联合多关系抽取模型,可用于 http://lic2019.ccf.org.cn/kg 信息抽取。
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Math object detectionAn image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.
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entity-networkTensorflow implementation of "Tracking the World State with Recurrent Entity Networks" [https://arxiv.org/abs/1612.03969] by Henaff, Weston, Szlam, Bordes, and LeCun.
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Tensorflow AnprAutomatic Number (License) Plate Recognition using Tensorflow Object Detection API
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GAN-Project-2018GAN in Tensorflow to be run via Linux command line
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KelnerServe your models
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relation-networkTensorflow Implementation of Relation Networks for the bAbI QA Task, detailed in "A Simple Neural Network Module for Relational Reasoning," [https://arxiv.org/abs/1706.01427] by Santoro et. al.
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Kemono puyo🐱 Take kemono pictures and lines up 3, then tanoshii
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tensorflow-basicsA few TensorFlow techniques I'm saving for future reference.
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Tensorflow Object Detection TutorialThe purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch
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Pytorch2kerasPyTorch to Keras model convertor
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Pinto model zooA repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]
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Deep News SummarizationNews summarization using sequence to sequence model with attention in TensorFlow.
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Seq2annotation基于 TensorFlow & PaddlePaddle 的通用序列标注算法库(目前包含 BiLSTM+CRF, Stacked-BiLSTM+CRF 和 IDCNN+CRF,更多算法正在持续添加中)实现中文分词(Tokenizer / segmentation)、词性标注(Part Of Speech, POS)和命名实体识别(Named Entity Recognition, NER)等序列标注任务。
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