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Title: GitHub - RTDataScience/models: A collection of pre-trained, state-of-the-art models in the ONNX format

Open Graph Title: GitHub - RTDataScience/models: A collection of pre-trained, state-of-the-art models in the ONNX format

X Title: GitHub - RTDataScience/models: A collection of pre-trained, state-of-the-art models in the ONNX format

Description: A collection of pre-trained, state-of-the-art models in the ONNX format - GitHub - RTDataScience/models: A collection of pre-trained, state-of-the-art models in the ONNX format

Open Graph Description: A collection of pre-trained, state-of-the-art models in the ONNX format - GitHub - RTDataScience/models: A collection of pre-trained, state-of-the-art models in the ONNX format

X Description: A collection of pre-trained, state-of-the-art models in the ONNX format - GitHub - RTDataScience/models: A collection of pre-trained, state-of-the-art models in the ONNX format

Opengraph URL: https://github.com/RTDataScience/models

X: @github

direct link

Domain: patch-diff.githubusercontent.com

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target.mdhttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/target.md
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READMEhttps://patch-diff.githubusercontent.com/RTDataScience/models
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https://patch-diff.githubusercontent.com/RTDataScience/models#onnx-model-zoo
ONNXhttp://onnx.ai
Jupyter notebookshttp://jupyter.org
https://patch-diff.githubusercontent.com/RTDataScience/models#models
Usagehttps://patch-diff.githubusercontent.com/RTDataScience/models#usage-
https://patch-diff.githubusercontent.com/RTDataScience/models#read-the-usage-section-below-for-more-details-on-the-file-formats-in-the-onnx-model-zoo-onnx-pb-npz-and-starter-python-code-for-validating-your-onnx-model-using-test-data
https://patch-diff.githubusercontent.com/RTDataScience/models#vision
Image Classificationhttps://patch-diff.githubusercontent.com/RTDataScience/models#image_classification
Object Detection & Image Segmentationhttps://patch-diff.githubusercontent.com/RTDataScience/models#object_detection
Body, Face & Gesture Analysishttps://patch-diff.githubusercontent.com/RTDataScience/models#body_analysis
Image Manipulationhttps://patch-diff.githubusercontent.com/RTDataScience/models#image_manipulation
https://patch-diff.githubusercontent.com/RTDataScience/models#language
Machine Comprehensionhttps://patch-diff.githubusercontent.com/RTDataScience/models#machine_comprehension
Machine Translationhttps://patch-diff.githubusercontent.com/RTDataScience/models#machine_translation
Language Modellinghttps://patch-diff.githubusercontent.com/RTDataScience/models#language
https://patch-diff.githubusercontent.com/RTDataScience/models#other
Visual Question Answering & Dialoghttps://patch-diff.githubusercontent.com/RTDataScience/models#visual_qna
Speech & Audio Processinghttps://patch-diff.githubusercontent.com/RTDataScience/models#speech
Other interesting modelshttps://patch-diff.githubusercontent.com/RTDataScience/models#others
https://patch-diff.githubusercontent.com/RTDataScience/models#image-classification-
MobileNethttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/vision/classification/mobilenet
Sandler et al.https://arxiv.org/abs/1801.04381
ResNethttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/vision/classification/resnet
He et al.https://arxiv.org/abs/1512.03385
SqueezeNethttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/vision/classification/squeezenet
Iandola et al.https://arxiv.org/abs/1602.07360
VGGhttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/vision/classification/vgg
Simonyan et al.https://arxiv.org/abs/1409.1556
AlexNethttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/vision/classification/alexnet
Krizhevsky et al.https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf
GoogleNethttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/vision/classification/inception_and_googlenet/googlenet
Szegedy et al.https://arxiv.org/pdf/1409.4842.pdf
CaffeNethttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/vision/classification/caffenet
Krizhevsky et al.https://ucb-icsi-vision-group.github.io/caffe-paper/caffe.pdf
RCNN_ILSVRC13https://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/vision/classification/rcnn_ilsvrc13
Girshick et al.https://arxiv.org/abs/1311.2524
DenseNet-121https://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/vision/classification/densenet-121
Huang et al.https://arxiv.org/abs/1608.06993
Inception_V1https://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/vision/classification/inception_and_googlenet/inception_v1
Szegedy et al.https://arxiv.org/abs/1409.4842
Inception_V2https://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/vision/classification/inception_and_googlenet/inception_v2
Szegedy et al.https://arxiv.org/abs/1512.00567
ShuffleNethttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/vision/classification/shufflenet
Zhang et al.https://arxiv.org/abs/1707.01083
ZFNet-512https://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/vision/classification/zfnet-512
Zeiler et al.https://arxiv.org/abs/1311.2901
https://patch-diff.githubusercontent.com/RTDataScience/models#domain-based-image-classification-
MNIST-Handwritten Digit Recognitionhttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/vision/classification/mnist
Convolutional Neural Network with MNISThttps://github.com/Microsoft/CNTK/blob/master/Tutorials/CNTK_103D_MNIST_ConvolutionalNeuralNetwork.ipynb
https://patch-diff.githubusercontent.com/RTDataScience/models#object-detection--image-segmentation-
Tiny YOLOv2https://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/vision/object_detection_segmentation/tiny_yolov2
Redmon et al.https://arxiv.org/pdf/1612.08242.pdf
SSDhttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/vision/object_detection_segmentation/ssd
Liu et al.https://arxiv.org/abs/1512.02325
Faster-RCNNhttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/vision/object_detection_segmentation/faster-rcnn
Ren et al.https://arxiv.org/abs/1506.01497
Mask-RCNNhttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/vision/object_detection_segmentation/mask-rcnn
He et al.https://arxiv.org/abs/1703.06870
Redmon et al.https://arxiv.org/abs/1612.08242
contributehttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/contribute.md
YOLO v3https://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/vision/object_detection_segmentation/yolov3
Redmon et al.https://arxiv.org/pdf/1804.02767.pdf
Tiny YOLOv3https://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/vision/object_detection_segmentation/tiny_yolov3
Redmon et al.https://arxiv.org/pdf/1804.02767.pdf
DUChttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/vision/object_detection_segmentation/duc
Wang et al.https://arxiv.org/abs/1702.08502
mIOUhttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/models/semantic_segmentation/DUC/README.md/#metric
Long et al.https://people.eecs.berkeley.edu/~jonlong/long_shelhamer_fcn.pdf
contributehttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/contribute.md
https://patch-diff.githubusercontent.com/RTDataScience/models#body-face--gesture-analysis-
ArcFacehttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/vision/body_analysis/arcface
Deng et al.https://arxiv.org/abs/1801.07698
Li et al.https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Li_A_Convolutional_Neural_2015_CVPR_paper.pdf
contributehttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/contribute.md
Emotion FerPlushttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/vision/body_analysis/emotion_ferplus
Barsoum et al.https://arxiv.org/abs/1608.01041
Levi et al.https://www.openu.ac.il/home/hassner/projects/cnn_agegender/CNN_AgeGenderEstimation.pdf
contributehttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/contribute.md
https://patch-diff.githubusercontent.com/RTDataScience/models#image-manipulation-
Zhu et al.https://arxiv.org/abs/1703.10593
contributehttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/contribute.md
Super Resolution with sub-pixel CNNhttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/vision/super_resolution/sub_pixel_cnn_2016
Shi et al.https://arxiv.org/abs/1609.05158
Fast Neural Style Transferhttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/vision/style_transfer/fast_neural_style
Johnson et al.https://arxiv.org/abs/1603.08155
https://patch-diff.githubusercontent.com/RTDataScience/models#speech--audio-processing-
Graves et al.https://www.cs.toronto.edu/~fritz/absps/RNN13.pdf
contributehttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/contribute.md
Arik et al.https://arxiv.org/abs/1702.07825
contributehttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/contribute.md
WaveNet: A Generative Model for Raw Audio https://arxiv.org/abs/1609.03499
contributehttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/contribute.md
https://patch-diff.githubusercontent.com/RTDataScience/models#machine-comprehension-
Bidirectional Attention Flowhttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/text/machine_comprehension/bidirectional_attention_flow
Seo et al.https://arxiv.org/pdf/1611.01603
BERT-Squadhttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/text/machine_comprehension/bert-squad
Devlin et al.https://arxiv.org/pdf/1810.04805.pdf
GPT-2https://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/text/machine_comprehension/gpt-2
Radford et al.https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf
https://patch-diff.githubusercontent.com/RTDataScience/models#machine-translation-
Bahdanau et al.https://arxiv.org/abs/1409.0473
contributehttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/contribute.md
Wu et al.https://arxiv.org/abs/1609.08144
contributehttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/contribute.md
https://patch-diff.githubusercontent.com/RTDataScience/models#language-modelling-
Arisoy et al.https://pdfs.semanticscholar.org/a177/45f1d7045636577bcd5d513620df5860e9e5.pdf
contributehttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/contribute.md
https://patch-diff.githubusercontent.com/RTDataScience/models#visual-question-answering--dialog-
Agrawal et al.https://arxiv.org/pdf/1505.00468v6.pdf
contributehttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/contribute.md
Zhang et al.https://arxiv.org/pdf/1511.05099.pdf
contributehttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/contribute.md
Goyal et al.https://arxiv.org/pdf/1612.00837.pdf
contributehttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/contribute.md
Das et al.https://arxiv.org/abs/1611.08669
contributehttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/contribute.md
https://patch-diff.githubusercontent.com/RTDataScience/models#other-interesting-models-
contributehttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/contribute.md
Generative Adversarial Text to image Synthesis https://arxiv.org/abs/1605.05396
contributehttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/contribute.md
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks https://arxiv.org/pdf/1703.07015.pdf
contributehttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/contribute.md
DropoutNet: Addressing Cold Start in Recommender Systemshttp://www.cs.toronto.edu/~mvolkovs/nips2017_deepcf.pdf
contributehttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/contribute.md
Neural Collaborative Filteringhttps://arxiv.org/pdf/1708.05031.pdf
contributehttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/contribute.md
A Hierarchical Neural Autoencoder for Paragraphs and Documentshttps://arxiv.org/abs/1506.01057
contributehttps://patch-diff.githubusercontent.com/RTDataScience/models/blob/master/contribute.md
https://patch-diff.githubusercontent.com/RTDataScience/models#usage-
https://patch-diff.githubusercontent.com/RTDataScience/models#model-visualization
Netronhttps://lutzroeder.github.io/Netron
https://patch-diff.githubusercontent.com/RTDataScience/models#contributions
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