#torchvision search results

#PyTorch day1 : Created deep learning model for #torchvision dataset with just 2 epochs and lr set to 0.01 got good accuracy.

Ashu1190781's tweet image. #PyTorch day1 : Created deep learning model for #torchvision  dataset with just 2 epochs and lr set to 0.01 got good accuracy.

A PR adding GPU accelerated Elastic Augmentation just got merged to torchvision and will be available via the nighly build in the next days. So for all #bioimage people, consider swapping to #torchvision. It's blazing fast and now has all the augmentations that you need.

JLrumberger's tweet image. A PR adding GPU accelerated Elastic Augmentation just got merged to torchvision and will be available via the nighly build in the next days. So for all #bioimage people, consider swapping to #torchvision. It's blazing fast and now has all the augmentations that you need.

JPEG decoding on the GPU: Coming to a torchvision near you! #torchvision @PyTorch

jdthewlis's tweet image. JPEG decoding on the GPU: Coming to a torchvision near you! #torchvision @PyTorch

Fun stuff using the segmentation models in #torchvision to attempt to count non-rigid items using FCNs and a regression loss : arxiv.org/pdf/1612.00220… #pytorch


With torch or torchvision, how can I resize and crop an image batch, and get both the resizing scales and the new images? stackoverflow.com/questions/6911… #pytorch #torchvision #transform

overflow_meme's tweet image. With torch or torchvision, how can I resize and crop an image batch, and get both the resizing scales and the new images? stackoverflow.com/questions/6911… #pytorch #torchvision #transform

When you have to hack #torchvision as part of your demo because @ylecun 's server is not having any of your crap ;)

LSTMeow's tweet image. When you have to hack #torchvision as part of your demo because @ylecun 's server is not having any of your crap ;)

Experimenting with #pytorch #torchvision image segmentation to work on video frames.


debuggercafe.com/comparing-pyto… New post on DebuggerCafe - Comparing PyTorch ImageNetV1 and ImageNetV2 Weights with Torchvision 0.13 #PyTorch #Torchvision #DeepLearning #TransferLearning

SovitRath5's tweet image. debuggercafe.com/comparing-pyto…
New post on DebuggerCafe - Comparing PyTorch ImageNetV1 and ImageNetV2 Weights with Torchvision 0.13
#PyTorch #Torchvision #DeepLearning #TransferLearning

Papers with Libraries! una nueva forma de explorar las capacidades de las bibliotecas de ML. Actualmente están disponibles las bibliotecas de torchvision y PyTorch Image Models (TIMM). ➡️ torchvision: paperswithcode.com/lib/torchvision ➡️ TIMM: paperswithcode.com/lib/timm #torchvision #TIMM

MLDLMeetupAQP's tweet image. Papers with Libraries! una nueva forma de explorar las capacidades de las bibliotecas de ML. Actualmente están disponibles las bibliotecas de torchvision y PyTorch Image Models (TIMM).

➡️ torchvision: paperswithcode.com/lib/torchvision
➡️ TIMM: paperswithcode.com/lib/timm

#torchvision #TIMM
MLDLMeetupAQP's tweet image. Papers with Libraries! una nueva forma de explorar las capacidades de las bibliotecas de ML. Actualmente están disponibles las bibliotecas de torchvision y PyTorch Image Models (TIMM).

➡️ torchvision: paperswithcode.com/lib/torchvision
➡️ TIMM: paperswithcode.com/lib/timm

#torchvision #TIMM
MLDLMeetupAQP's tweet image. Papers with Libraries! una nueva forma de explorar las capacidades de las bibliotecas de ML. Actualmente están disponibles las bibliotecas de torchvision y PyTorch Image Models (TIMM).

➡️ torchvision: paperswithcode.com/lib/torchvision
➡️ TIMM: paperswithcode.com/lib/timm

#torchvision #TIMM
MLDLMeetupAQP's tweet image. Papers with Libraries! una nueva forma de explorar las capacidades de las bibliotecas de ML. Actualmente están disponibles las bibliotecas de torchvision y PyTorch Image Models (TIMM).

➡️ torchvision: paperswithcode.com/lib/torchvision
➡️ TIMM: paperswithcode.com/lib/timm

#torchvision #TIMM

TorchGeo is a #PyTorch domain library, similar to #torchvision, with pre-trained models specific to #geospatial data from MS. More in the link below. Also, as PyTorch libs can support CUDA, you can explore your dedicated GPU cores with it. #Microsoft github.com/microsoft/torc…


How can you systematically compare #ObjectDetection models with different architectures, input & output requirements? Learn more in this full-code tutorial using #TorchVision and @comet_ml: bit.ly/49cuQx3


How can you systematically compare #ObjectDetection models with different architectures, input & output requirements, and optimal hyperparameter values? Learn more in this full-code tutorial using #TorchVision and @comet_ml: bit.ly/3Fpp0eo


From this week's issue: In #TorchVision’s detection module, developers can find pre-trained #ObjectDetection models that are ready to be fine-tuned on their own datasets. But how can you systematically find the best model for a particular use-case? bit.ly/41qi9cU


#PyTorch day1 : Created deep learning model for #torchvision dataset with just 2 epochs and lr set to 0.01 got good accuracy.

Ashu1190781's tweet image. #PyTorch day1 : Created deep learning model for #torchvision  dataset with just 2 epochs and lr set to 0.01 got good accuracy.

JPEG decoding on the GPU: Coming to a torchvision near you! #torchvision @PyTorch

jdthewlis's tweet image. JPEG decoding on the GPU: Coming to a torchvision near you! #torchvision @PyTorch

With torch or torchvision, how can I resize and crop an image batch, and get both the resizing scales and the new images? stackoverflow.com/questions/6911… #pytorch #torchvision #transform

overflow_meme's tweet image. With torch or torchvision, how can I resize and crop an image batch, and get both the resizing scales and the new images? stackoverflow.com/questions/6911… #pytorch #torchvision #transform

A PR adding GPU accelerated Elastic Augmentation just got merged to torchvision and will be available via the nighly build in the next days. So for all #bioimage people, consider swapping to #torchvision. It's blazing fast and now has all the augmentations that you need.

JLrumberger's tweet image. A PR adding GPU accelerated Elastic Augmentation just got merged to torchvision and will be available via the nighly build in the next days. So for all #bioimage people, consider swapping to #torchvision. It's blazing fast and now has all the augmentations that you need.

Fun stuff using the segmentation models in #torchvision to attempt to count non-rigid items using FCNs and a regression loss : arxiv.org/pdf/1612.00220… #pytorch


debuggercafe.com/comparing-pyto… New post on DebuggerCafe - Comparing PyTorch ImageNetV1 and ImageNetV2 Weights with Torchvision 0.13 #PyTorch #Torchvision #DeepLearning #TransferLearning

SovitRath5's tweet image. debuggercafe.com/comparing-pyto…
New post on DebuggerCafe - Comparing PyTorch ImageNetV1 and ImageNetV2 Weights with Torchvision 0.13
#PyTorch #Torchvision #DeepLearning #TransferLearning

When you have to hack #torchvision as part of your demo because @ylecun 's server is not having any of your crap ;)

LSTMeow's tweet image. When you have to hack #torchvision as part of your demo because @ylecun 's server is not having any of your crap ;)

Our result holds for all 25 models in the @PyTorch #torchvision library: Improvements are typically on the order of 10% points mean corruption error. ◦ baseline → • adapted 6/N

stes_io's tweet image. Our result holds for all 25 models in the @PyTorch #torchvision library: Improvements are typically on the order of 10% points mean corruption error.
 
◦ baseline → • adapted
 
6/N
stes_io's tweet image. Our result holds for all 25 models in the @PyTorch #torchvision library: Improvements are typically on the order of 10% points mean corruption error.
 
◦ baseline → • adapted
 
6/N

Just found this checking #torchvision stable models, it seems they were trained on some volatile dataset 😅 cc @DVCorg

mmeendez8's tweet image. Just found this checking #torchvision stable models, it seems they were trained on some volatile dataset 😅
cc @DVCorg

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