#wolframnetrepo search results

New in the #WolframNetRepo: Detect and localize human joints in an image with the newest YOLO V8 pose trained on MS-COCO data! wolfr.am/1gSBR4C7B. Thank you G. Jocher, A. Chaurasia, J. Qiu at Ultralytics for creating this model

New in the Wolfram Neural Net Repository: Identify the main action in a video with the newest X3D Video Action Classification trained on Kinetics-400 data! wolfr.am/1ePJq767J Thank you C. Feichtenhofer for creating this model. wolfr.am/1ePJqawLY #WolframNetRepo

New in the #WolframNetRepo: Segment objects in an image with the newest U2-Net Trained on DUTS-TR Data wolfr.am/1bIs1r5n8. Thank you X. Qin, Z. Zhang, C. Huang, M. Dehghan, O. R. Zaiane, M. Jagersand for creating this model wolfr.am/1bseAJL0M

New in the #WolframNetRepo: Segment medical images with the newest DoubleU-Net Trained on Medical Image Segmentation Datasets wolfr.am/1anhPYrr2. Thank you D. Jha, M. A. Riegler, D. Johansen, P. Halvorsen and H. D. Johansen for creating this model wolfr.am/1anhQf3OB

#WolframNetRepo: Diagnose retinal diseases with the newest Optic-Net Classifier for Retinal Diseases trained on Kermany and Srinivasan data: wolfr.am/1a60MtXvp Thank you S. A. Kamran, S. Saha, A. S. Sabbir, A. Tavakkoli for creating this model. wolfr.am/1a60Nj5rz

#NetoftheWeek: Extract texture information from ResNet-50 Trained on ImageNet to represent the paintings in 2D wolfr.am/XGofXehG. Thank you K. He, X. Zhang, S. Ren, J. Sun for creating this model wolfr.am/17FkBrwqn. #WolframNetRepo #neuralnetwork #ML #AI #WolfLang

#Neuralnetwork of the Week: Determine whether an image contains pornographic content with Yahoo Open NSFW Model V1 found in #WolframNetRepo wolfr.am/17iJvH3n4. Thank you J. Mahadeokar, S. Farfade and A. Kamat

#Neuralnetwork of the Week: Estimate people's age with Age Estimation VGG-16 Trained on IMDB-WIKI and Looking at People Data found in #WolframNetRepo wolfr.am/179je45wZ. Thank you R. Rothe, R. Timofte, L. Van Gool wolfr.am/179je5l1q

#Net of the week: Find the location of an image with ResNet-101 trained on YFCC100m geotagged data from the #WolframNetRepo wolfr.am/EhpUyAfQ. Thank you J. Choi & K. Li for creating this #AI model wolfr.am/Ehq1YguB.

#Neuralnetwork of the Week: Classify images using ResNet-101 Trained on ImageNet found in #WolframNetRepo wolfr.am/16O5SZXGi. Thanks Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun at @MSFTResearch for creating this model wolfr.am/16O686oFV.

New in the #WolframNetRepo: detect and localize objects in an image with the new CenterNet #neuralnetwork model trained on MS-COCO wolfr.am/16DSaqCzX. Thank you X.Zhou, D.Wang (@DequanWang) and P. Krahenb for developing this #AI model wolfr.am/16Drjy7Ru

#NeuralNetwork of the Week: Generate text in English with GPT2 Transformer Trained on WebText Data found in #WolframNetRepo wolfr.am/16sbixpam. Thank you A. Radford, J. Wu https:/wolfr.am/16sbiE85b.

#NeuralNetwork of the Week: Find the nearest neighbors of a painting with EfficientNet Trained on ImageNet with NoisyStudent found in #WolframNetRepo wolfr.am/16iiIFZZI. Thank you M. Tan, Q. Le wolfr.am/16iiCgvNp

#Neuralnetwork of the Week: Transfer style from one image to another with AdaIN-Style Trained on MS-COCO and Painter by Numbers Data found in #WolframNetRepo wolfr.am/14c0E4ula. Thank you X.Huang and S. Belongie for this work wolfr.am/15Vjr3WTa

New in the #WolframNetRepo: Detect and localize objects in an image with the newest SSD Feature Pyramid Nets Trained on MS-COCO Datawolfr.am/15BGAem1q. Thank you Hongkun Yu, Chen Chen, @Phyyysalis, @jaeyounkim at @GoogleAI for creating this #AI model wolfr.am/15BGDdkQo.

#NeuralNetwork of the Week: Segment video frames into semantic component classes Dilated ResNet-105 Trained on Cityscapes Data found in #WolframNetRepo wolfr.am/14bMdj2Dr. Thank you @DrFisherYu, Vladlen Koltun, Thomas Funkhouser wolfr.am/15pp7BdUf.

New in the #WolframNetRepo: Detect and localize objects in an image with the newest Scaled-YOLO V4 #neuralnetwork model trained on MS-COCO wolfr.am/140PK701y. Thank you @alexeyab84, C. Wang & H. Liao for creating this #AI model wolfr.am/1400uK8EM.

#NeuralNet of the week: Enjoy your macarons and let ResNet-101 trained on YFCC100m geotagged data from the #WolframNetRepo plan a trip near the Eiffel Tower wolfr.am/EhpUyAfQ. Thank you Jaeyoung Choi & Kevin Li for creating this #AI model wolfr.am/Ehq1YguB.

New in the #WolframNetRepo: Detect and localize objects in an image with the newest YOLO V5 #neuralnetwork model trained on MS-COCO wolfr.am/140TiR6NQ. Thank you @ultralytics for creating this #AI model wolfr.am/140Tj81wx.

#NeuralNetwork of the Week: Classify sea animals using Wide ResNet-50-2 Trained on ImageNet found in the #WolframNetRepo wolfr.am/14KdxkjxG. Thanks @szagoruyko5 and Nikos Komodakis for creating this #AI model wolfr.am/Ehq1YguB.

#NeuralNetwork of the Week: Cluster images using ShuffleNet-V1 trained on ImageNet found #WolframNetRepo wolfr.am/ZznYZ4gd. Thanks X.Zhang, X.Zhou, and M.L.J Sun wolfr.am/Zzo3rlb6

#NeuralNetwork of the Week: Visualize the word clusters using GloVe 200-Dimensional Word Vectors Trained on Tweets found in #WolframNetRepo wolfr.am/ZULhcooN. Thanks J.Pennington, @RichardSocher & @chrmanning at @StanfordAILab for creating this model wolfr.am/Vq7vveww

#NeuralNetwork of the Week: Enjoy spring with this 2D embedding of birds and flowers with ConceptNet found in #WolframNetRepo wolfr.am/13Rjsi7X1 Thanks R.Speer, J.Chin, @catherinehavasi for creating this model wolfr.am/13RjveRh5

#Neuralnetwork of the Week: Estimate people's age with Age Estimation VGG-16 Trained on IMDB-WIKI and Looking at People Data found in #WolframNetRepo wolfr.am/179je45wZ. Thank you R. Rothe, R. Timofte, L. Van Gool wolfr.am/179je5l1q

New in the #WolframNetRepo: Find correspondences between images with the newest D2-Net Trained on MegaDepth Data wolfr.am/131XsCptZ. Thanks @mihaidusmanu, @SattlerTorsten, M.Pollefeys, J.Sivic, G.Rigoll & others for developing this model wolfr.am/131XvRevl

#NeuralNetwork of the Week: Use Inception V3 to separate images based on texture information of paintings found in #WolframNetRepo wolfr.am/11DaMoL5Q. Thanks @ChrSzegedy, V. Vanhoucke, S. Ioffe, @zbigniewwojna and J. Shlens, for creating this model wolfr.am/11DaPjAaI

New in the #WolframNetRepo: Discover new classes with EfficientNet-V2 Trained on ImageNet-21K wolfr.am/11tXKnpMc. Thanks @quocleix, @tanmingxing at @Google for creating this model wolfr.am/11tXOHMy0.

#NeuralNetwork of the Week: Represent and colorize text features in their context using with a #NLP SciBERT model trained on Semantic Scholar Data found in #WolframNetRepo wolfr.am/OJ1cExnt. Thanks @i_beltagy, Kyle Lo and @armancohan wolfr.am/OJ1fqbez.

#NeuralNetwork of the Week: Stylize an image using features from VGG-16 Trained on ImageNet found in #WolframNetRepo wolfr.am/12QY4LQAI. Thanks K. Simonyan, A. Zisserman for creating this model wolfr.am/12QYb88qV

#NeuralNetwork of the Week: Find nearest neighbors paintings using the texture information extracted from VGG-19 found in #WolframNetRepo wolfr.am/13xGVAEO2. Thanks Karen Simonyan and Andrew Zisserman for creating this model wolfr.am/13xJiyYHp.

#NeuralNetwork of the Week: Find the nearest neighbors of a painting with EfficientNet Trained on ImageNet with NoisyStudent found in #WolframNetRepo wolfr.am/16iiIFZZI. Thank you M. Tan, Q. Le wolfr.am/16iiCgvNp

#NeuralNetwork of the Week: Classify images using Inception V3 trained on ImageNet Competition Data found in #WolframNetRepo wolfr.am/11tXOHMy0. Thanks @ChrSzegedy, @zbigniewwojna, V. Vanhoucke and J. Shlens &others wolfr.am/11DaPjAaI

New in the #WolframNetRepo: Differentiate between indoor and outdoor activities with EfficientNet Trained with AdvProp and AutoAugment wolfr.am/10s2NtYHR. Thanks @QizheXie, @quocleix and colleagues for creating this model wolfr.am/VZeV3LGN. #neuralnetwork #ML #AI

New in the #WolframNetRepo: Have fun with face editing with the newest #neuralnetwork model StarGAN Trained on CelebA Data. wolfr.am/14zrmPyY1 Thank you @yunjey_choi, @minje__choi, @JungWooHa2 from @ClovaAiLab for the #AI model. wolfr.am/14zqDPzns

New in the #WolframNetRepo: Classify images using EfficientNet-V2 trained on ImageNet Competition Data wolfr.am/11tXKnpMc. Thanks @quocleix, @tanmingxing at @Google for creating this model wolfr.am/11tXOHMy0. #WolframNetRepo #neuralnetwork #ML #AI

#NeuralNetwork of the Week: Classify sea animals using Wide ResNet-50-2 Trained on ImageNet found in the #WolframNetRepo wolfr.am/14KdxkjxG. Thanks @szagoruyko5 and Nikos Komodakis for creating this #AI model wolfr.am/Ehq1YguB.

#NeuralNet of the week: Enjoy your macarons and let ResNet-101 trained on YFCC100m geotagged data from the #WolframNetRepo plan a trip near the Eiffel Tower wolfr.am/EhpUyAfQ. Thank you Jaeyoung Choi & Kevin Li for creating this #AI model wolfr.am/Ehq1YguB.

#NeuralNetwork of the Week: Visualize the word clusters using GloVe 50 Trained on Wikipedia and Gigaword 5 Data found in #WolframNetRepo wolfr.am/129qQEdAI Thanks J.Pennington, @RichardSocher & @chrmanning at @StanfordAILab for creating this model wolfr.am/Vq7vveww

#NeuralNetwork of the Week: On the week of #AdaLovelaceDay, represent and visualize the relationship between women in STEM using BERT Trained on BookCorpus and Wikipedia Data in #WolframNetRepo wolfr.am/Pgt9jAlv.  Thanks Jacob, Ming-Wei, Kenton & Kristina at @google.

WolframResearch: In an article written for @TDataScience, @arnoudbuzing explores how one can use pre-trained neural nets from the #WolframNetRepo to create realistic, colorized versions of black and white images: wolfr.am/PzfHlmqR #YoSoyJabali