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

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

X Title: GitHub - solution-it/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 - solution-it/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 - solution-it/models

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

Opengraph URL: https://github.com/solution-it/models

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visionhttps://github.com/solution-it/models/tree/master/vision
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ONNX_HUB_MANIFEST.jsonhttps://github.com/solution-it/models/blob/master/ONNX_HUB_MANIFEST.json
ONNX_HUB_MANIFEST.jsonhttps://github.com/solution-it/models/blob/master/ONNX_HUB_MANIFEST.json
README.mdhttps://github.com/solution-it/models/blob/master/README.md
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target.mdhttps://github.com/solution-it/models/blob/master/target.md
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READMEhttps://github.com/solution-it/models
Apache-2.0 licensehttps://github.com/solution-it/models
https://github.com/solution-it/models#onnx-model-zoo
Open Neural Network Exchange (ONNX)http://onnx.ai
Jupyter notebookshttp://jupyter.org
Git LFS (Large File Storage)https://git-lfs.github.com/
https://github.com/solution-it/models#models
Usagehttps://github.com/solution-it/models#usage-
Git LFS command linehttps://github.com/solution-it/models#gitlfs-
https://github.com/solution-it/models#read-the-usage-section-below-for-more-details-on-the-file-formats-in-the-onnx-model-zoo-onnx-pb-npz-downloading-multiple-onnx-models-through-git-lfs-command-line-and-starter-python-code-for-validating-your-onnx-model-using-test-data
Intel® Neural Compressorhttps://github.com/intel/neural-compressor
Introductionhttps://github.com/intel/neural-compressor/blob/master/README.md
https://github.com/solution-it/models#int8-models-are-generated-by-intel-neural-compressor-read-the-introduction-to-know-how-to-use-it-to-quantize-onnx-model
https://github.com/solution-it/models#vision
Image Classificationhttps://github.com/solution-it/models#image_classification
Object Detection & Image Segmentationhttps://github.com/solution-it/models#object_detection
Body, Face & Gesture Analysishttps://github.com/solution-it/models#body_analysis
Image Manipulationhttps://github.com/solution-it/models#image_manipulation
https://github.com/solution-it/models#language
Machine Comprehensionhttps://github.com/solution-it/models#machine_comprehension
Machine Translationhttps://github.com/solution-it/models#machine_translation
Language Modellinghttps://github.com/solution-it/models#language_modelling
https://github.com/solution-it/models#other
Visual Question Answering & Dialoghttps://github.com/solution-it/models#visual_qna
Speech & Audio Processinghttps://github.com/solution-it/models#speech
Other interesting modelshttps://github.com/solution-it/models#others
https://github.com/solution-it/models#image-classification-
MobileNethttps://github.com/solution-it/models/blob/master/vision/classification/mobilenet
Sandler et al.https://arxiv.org/abs/1801.04381
ResNethttps://github.com/solution-it/models/blob/master/vision/classification/resnet
He et al.https://arxiv.org/abs/1512.03385
SqueezeNethttps://github.com/solution-it/models/blob/master/vision/classification/squeezenet
Iandola et al.https://arxiv.org/abs/1602.07360
VGGhttps://github.com/solution-it/models/blob/master/vision/classification/vgg
Simonyan et al.https://arxiv.org/abs/1409.1556
AlexNethttps://github.com/solution-it/models/blob/master/vision/classification/alexnet
Krizhevsky et al.https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf
GoogleNethttps://github.com/solution-it/models/blob/master/vision/classification/inception_and_googlenet/googlenet
Szegedy et al.https://arxiv.org/pdf/1409.4842.pdf
CaffeNethttps://github.com/solution-it/models/blob/master/vision/classification/caffenet
Krizhevsky et al.https://ucb-icsi-vision-group.github.io/caffe-paper/caffe.pdf
RCNN_ILSVRC13https://github.com/solution-it/models/blob/master/vision/classification/rcnn_ilsvrc13
Girshick et al.https://arxiv.org/abs/1311.2524
DenseNet-121https://github.com/solution-it/models/blob/master/vision/classification/densenet-121
Huang et al.https://arxiv.org/abs/1608.06993
Inception_V1https://github.com/solution-it/models/blob/master/vision/classification/inception_and_googlenet/inception_v1
Szegedy et al.https://arxiv.org/abs/1409.4842
Inception_V2https://github.com/solution-it/models/blob/master/vision/classification/inception_and_googlenet/inception_v2
Szegedy et al.https://arxiv.org/abs/1512.00567
ShuffleNet_V1https://github.com/solution-it/models/blob/master/vision/classification/shufflenet
Zhang et al.https://arxiv.org/abs/1707.01083
ShuffleNet_V2https://github.com/solution-it/models/blob/master/vision/classification/shufflenet
Zhang et al.https://arxiv.org/abs/1807.11164
ZFNet-512https://github.com/solution-it/models/blob/master/vision/classification/zfnet-512
Zeiler et al.https://arxiv.org/abs/1311.2901
EfficientNet-Lite4https://github.com/solution-it/models/blob/master/vision/classification/efficientnet-lite4
Tan et al.https://arxiv.org/abs/1905.11946
https://github.com/solution-it/models#domain-based-image-classification-
MNIST-Handwritten Digit Recognitionhttps://github.com/solution-it/models/blob/master/vision/classification/mnist
Convolutional Neural Network with MNISThttps://github.com/Microsoft/CNTK/blob/master/Tutorials/CNTK_103D_MNIST_ConvolutionalNeuralNetwork.ipynb
https://github.com/solution-it/models#object-detection--image-segmentation-
Tiny YOLOv2https://github.com/solution-it/models/blob/master/vision/object_detection_segmentation/tiny-yolov2
Redmon et al.https://arxiv.org/pdf/1612.08242.pdf
SSDhttps://github.com/solution-it/models/blob/master/vision/object_detection_segmentation/ssd
Liu et al.https://arxiv.org/abs/1512.02325
SSD-MobileNetV1https://github.com/solution-it/models/blob/master/vision/object_detection_segmentation/ssd-mobilenetv1
Howard et al.https://arxiv.org/abs/1704.04861
Faster-RCNNhttps://github.com/solution-it/models/blob/master/vision/object_detection_segmentation/faster-rcnn
Ren et al.https://arxiv.org/abs/1506.01497
Mask-RCNNhttps://github.com/solution-it/models/blob/master/vision/object_detection_segmentation/mask-rcnn
He et al.https://arxiv.org/abs/1703.06870
RetinaNethttps://github.com/solution-it/models/blob/master/vision/object_detection_segmentation/retinanet
Lin et al.https://arxiv.org/abs/1708.02002
YOLO v2-cocohttps://github.com/solution-it/models/blob/master/vision/object_detection_segmentation/yolov2-coco
Redmon et al.https://arxiv.org/abs/1612.08242
YOLO v3https://github.com/solution-it/models/blob/master/vision/object_detection_segmentation/yolov3
Redmon et al.https://arxiv.org/pdf/1804.02767.pdf
Tiny YOLOv3https://github.com/solution-it/models/blob/master/vision/object_detection_segmentation/tiny-yolov3
Redmon et al.https://arxiv.org/pdf/1804.02767.pdf
YOLOv4https://github.com/solution-it/models/blob/master/vision/object_detection_segmentation/yolov4
Bochkovskiy et al.https://arxiv.org/abs/2004.10934
DUChttps://github.com/solution-it/models/blob/master/vision/object_detection_segmentation/duc
Wang et al.https://arxiv.org/abs/1702.08502
mIOUhttps://github.com/solution-it/models/blob/master/models/semantic_segmentation/DUC/README.md/#metric
FCNhttps://github.com/solution-it/models/blob/master/vision/object_detection_segmentation/fcn
Long et al.https://people.eecs.berkeley.edu/~jonlong/long_shelhamer_fcn.pdf
contributehttps://github.com/solution-it/models/blob/master/contribute.md
https://github.com/solution-it/models#body-face--gesture-analysis-
ArcFacehttps://github.com/solution-it/models/blob/master/vision/body_analysis/arcface
Deng et al.https://arxiv.org/abs/1801.07698
UltraFacehttps://github.com/solution-it/models/blob/master/vision/body_analysis/ultraface
Ultra-lightweight face detection modelhttps://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB
Emotion FerPlushttps://github.com/solution-it/models/blob/master/vision/body_analysis/emotion_ferplus
Barsoum et al.https://arxiv.org/abs/1608.01041
Age and Gender Classification using Convolutional Neural Networkshttps://github.com/solution-it/models/blob/master/vision/body_analysis/age_gender
Rothe et al.https://data.vision.ee.ethz.ch/cvl/publications/papers/proceedings/eth_biwi_01229.pdf
https://github.com/solution-it/models#image-manipulation-
Zhu et al.https://arxiv.org/abs/1703.10593
contributehttps://github.com/solution-it/models/blob/master/contribute.md
Super Resolution with sub-pixel CNNhttps://github.com/solution-it/models/blob/master/vision/super_resolution/sub_pixel_cnn_2016
Shi et al.https://arxiv.org/abs/1609.05158
Fast Neural Style Transferhttps://github.com/solution-it/models/blob/master/vision/style_transfer/fast_neural_style
Johnson et al.https://arxiv.org/abs/1603.08155
https://github.com/solution-it/models#speech--audio-processing-
Graves et al.https://www.cs.toronto.edu/~fritz/absps/RNN13.pdf
contributehttps://github.com/solution-it/models/blob/master/contribute.md
Arik et al.https://arxiv.org/abs/1702.07825
contributehttps://github.com/solution-it/models/blob/master/contribute.md
WaveNet: A Generative Model for Raw Audio https://arxiv.org/abs/1609.03499
contributehttps://github.com/solution-it/models/blob/master/contribute.md
https://github.com/solution-it/models#machine-comprehension-
Bidirectional Attention Flowhttps://github.com/solution-it/models/blob/master/text/machine_comprehension/bidirectional_attention_flow
Seo et al.https://arxiv.org/pdf/1611.01603
BERT-Squadhttps://github.com/solution-it/models/blob/master/text/machine_comprehension/bert-squad
Devlin et al.https://arxiv.org/pdf/1810.04805.pdf
RoBERTahttps://github.com/solution-it/models/blob/master/text/machine_comprehension/roberta
Liu et al.https://arxiv.org/pdf/1907.11692.pdf
GPT-2https://github.com/solution-it/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
T5https://github.com/solution-it/models/blob/master/text/machine_comprehension/t5
Raffel et al.https://arxiv.org/abs/1910.10683
https://github.com/solution-it/models#machine-translation-
Bahdanau et al.https://arxiv.org/abs/1409.0473
contributehttps://github.com/solution-it/models/blob/master/contribute.md
Wu et al.https://arxiv.org/abs/1609.08144
contributehttps://github.com/solution-it/models/blob/master/contribute.md
https://github.com/solution-it/models#language-modelling-
Arisoy et al.https://pdfs.semanticscholar.org/a177/45f1d7045636577bcd5d513620df5860e9e5.pdf
contributehttps://github.com/solution-it/models/blob/master/contribute.md
https://github.com/solution-it/models#visual-question-answering--dialog-
Agrawal et al.https://arxiv.org/pdf/1505.00468v6.pdf
contributehttps://github.com/solution-it/models/blob/master/contribute.md
Zhang et al.https://arxiv.org/pdf/1511.05099.pdf
contributehttps://github.com/solution-it/models/blob/master/contribute.md
Goyal et al.https://arxiv.org/pdf/1612.00837.pdf
contributehttps://github.com/solution-it/models/blob/master/contribute.md
Das et al.https://arxiv.org/abs/1611.08669
contributehttps://github.com/solution-it/models/blob/master/contribute.md
https://github.com/solution-it/models#other-interesting-models-
contributehttps://github.com/solution-it/models/blob/master/contribute.md
Generative Adversarial Text to image Synthesis https://arxiv.org/abs/1605.05396
contributehttps://github.com/solution-it/models/blob/master/contribute.md
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks https://arxiv.org/pdf/1703.07015.pdf
contributehttps://github.com/solution-it/models/blob/master/contribute.md
DropoutNet: Addressing Cold Start in Recommender Systemshttp://www.cs.toronto.edu/~mvolkovs/nips2017_deepcf.pdf
contributehttps://github.com/solution-it/models/blob/master/contribute.md
Neural Collaborative Filteringhttps://arxiv.org/pdf/1708.05031.pdf
contributehttps://github.com/solution-it/models/blob/master/contribute.md
A Hierarchical Neural Autoencoder for Paragraphs and Documentshttps://arxiv.org/abs/1506.01057
contributehttps://github.com/solution-it/models/blob/master/contribute.md
https://github.com/solution-it/models#usage-
https://github.com/solution-it/models#usage---test-data-starter-code
https://github.com/solution-it/models#usage---git-lfs-
https://github.com/solution-it/models#usage---model-visualization
Netronhttps://github.com/lutzroeder/Netron
https://github.com/solution-it/models#contributions
contributehttps://github.com/solution-it/models/blob/master/contribute.md
https://github.com/solution-it/models#license
Apache License v2.0https://github.com/solution-it/models/blob/master/LICENSE
Readme https://github.com/solution-it/models#readme-ov-file
Apache-2.0 license https://github.com/solution-it/models#Apache-2.0-1-ov-file
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Packages 0https://github.com/users/solution-it/packages?repo_name=models
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Contributorshttps://github.com/solution-it/models/graphs/contributors
Please reload this pagehttps://github.com/solution-it/models
https://github.com
Termshttps://docs.github.com/site-policy/github-terms/github-terms-of-service
Privacyhttps://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Securityhttps://github.com/security
Statushttps://www.githubstatus.com/
Communityhttps://github.community/
Docshttps://docs.github.com/
Contacthttps://support.github.com?tags=dotcom-footer

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URLs of crawlers that visited me.