KerasHub on JMLR!!! 🎉
I am excited to share that the paper
"KerasCV and KerasNLP: Multi-framework Models" now known as KerasHub has been published in the Journal of Machine Learning Research (JMLR).
Check out the full paper here: www.jmlr.org/papers/v25/2...
GitHub: github.com/keras-team/k...
I am excited to share that the paper
"KerasCV and KerasNLP: Multi-framework Models" now known as KerasHub has been published in the Journal of Machine Learning Research (JMLR).
Check out the full paper here: www.jmlr.org/papers/v25/2...
GitHub: github.com/keras-team/k...
KerasCV and KerasNLP: Multi-framework Models
www.jmlr.org
January 6, 2025 at 7:46 PM
KerasHub on JMLR!!! 🎉
I am excited to share that the paper
"KerasCV and KerasNLP: Multi-framework Models" now known as KerasHub has been published in the Journal of Machine Learning Research (JMLR).
Check out the full paper here: www.jmlr.org/papers/v25/2...
GitHub: github.com/keras-team/k...
I am excited to share that the paper
"KerasCV and KerasNLP: Multi-framework Models" now known as KerasHub has been published in the Journal of Machine Learning Research (JMLR).
Check out the full paper here: www.jmlr.org/papers/v25/2...
GitHub: github.com/keras-team/k...
The Keras team released Keras Hub and it's looking great! 🤩
This evolution of KerasNLP and KerasCV makes it easier than ever to work with models that handle multiple data types, like images and text!
Learn more about Keras Hub here:
developers.googleblog.com/en/introduci...
This evolution of KerasNLP and KerasCV makes it easier than ever to work with models that handle multiple data types, like images and text!
Learn more about Keras Hub here:
developers.googleblog.com/en/introduci...
Introducing Keras Hub: Your one-stop shop for pretrained models
KerasHub is a new unified library for pretrained models fostering a more cohesive ecosystem for developers.
developers.googleblog.com
October 23, 2024 at 6:03 PM
The Keras team released Keras Hub and it's looking great! 🤩
This evolution of KerasNLP and KerasCV makes it easier than ever to work with models that handle multiple data types, like images and text!
Learn more about Keras Hub here:
developers.googleblog.com/en/introduci...
This evolution of KerasNLP and KerasCV makes it easier than ever to work with models that handle multiple data types, like images and text!
Learn more about Keras Hub here:
developers.googleblog.com/en/introduci...
PaliGemma 3B repackaged for Keras on Ascend NPUs is a real format unlock for anyone stuck in KerasCV/KerasNLP — a loadable vision-language model without a custom stack matters at the edge.
The catch: empty model card, no benchmarks, no verified SigLIP operator coverage on Ascend....
The catch: empty model card, no benchmarks, no verified SigLIP operator coverage on Ascend....
Unlocking Small Vision-Language Models on Huawei’s Ascend with Keras
aichina.news
July 9, 2026 at 1:20 PM
PaliGemma 3B repackaged for Keras on Ascend NPUs is a real format unlock for anyone stuck in KerasCV/KerasNLP — a loadable vision-language model without a custom stack matters at the edge.
The catch: empty model card, no benchmarks, no verified SigLIP operator coverage on Ascend....
The catch: empty model card, no benchmarks, no verified SigLIP operator coverage on Ascend....
Feed: "Python Guides"
By: Bijay Kumar on Wednesday, January 28, 2026
By: Bijay Kumar on Wednesday, January 28, 2026
Object Detection with YOLOv8 and KerasCV in Keras
I have spent years building computer vision pipelines, and I can tell you that YOLOv8 combined with KerasCV is a game-changer. It simplifies the process of building high-performance models while keeping your code clean and readable. In this tutorial, I will show you exactly how to implement object detection. We will move away from generic ... Read more >>
pythonguides.com
January 28, 2026 at 4:44 PM
Feed: "Python Guides"
By: Bijay Kumar on Wednesday, January 28, 2026
By: Bijay Kumar on Wednesday, January 28, 2026
@luke_wood_ml The code to generate an image:
Here is also, the presentation:
https://lukewood.github.io/devoxx/
and a Colab notebook to try it out: https://colab.research.google.com/github/lukewood/devoxx/blob/master/notebooks/basic_demo.ipynb
#KerasCV
Here is also, the presentation:
https://lukewood.github.io/devoxx/
and a Colab notebook to try it out: https://colab.research.google.com/github/lukewood/devoxx/blob/master/notebooks/basic_demo.ipynb
#KerasCV
February 6, 2025 at 1:55 PM
@luke_wood_ml The code to generate an image:
Here is also, the presentation:
https://lukewood.github.io/devoxx/
and a Colab notebook to try it out: https://colab.research.google.com/github/lukewood/devoxx/blob/master/notebooks/basic_demo.ipynb
#KerasCV
Here is also, the presentation:
https://lukewood.github.io/devoxx/
and a Colab notebook to try it out: https://colab.research.google.com/github/lukewood/devoxx/blob/master/notebooks/basic_demo.ipynb
#KerasCV
Here is @luke_wood_ml
explaining Stable Diffusion at #Devoxx
https://youtu.be/KaR51-pwzlU
Stable Diffusion is the first end-to-end model in the new KerasCV library.
explaining Stable Diffusion at #Devoxx
https://youtu.be/KaR51-pwzlU
Stable Diffusion is the first end-to-end model in the new KerasCV library.
February 6, 2025 at 1:50 PM
Here is @luke_wood_ml
explaining Stable Diffusion at #Devoxx
https://youtu.be/KaR51-pwzlU
Stable Diffusion is the first end-to-end model in the new KerasCV library.
explaining Stable Diffusion at #Devoxx
https://youtu.be/KaR51-pwzlU
Stable Diffusion is the first end-to-end model in the new KerasCV library.
@awsaf49 @awsaf checked this specifically: the DeepLabV3+ paper implements both ResNet50 and Xception backbones, the latter using depth-separable convolutions. However the KerasCV preset used in the notebbok is "deeplab_v3_plus_resnet50_pascalvoc". All is good!
February 6, 2025 at 1:45 PM
@awsaf49 @awsaf checked this specifically: the DeepLabV3+ paper implements both ResNet50 and Xception backbones, the latter using depth-separable convolutions. However the KerasCV preset used in the notebbok is "deeplab_v3_plus_resnet50_pascalvoc". All is good!
Initially, I made this demo to show how to install Keras 3.0 with KerasCV and KerasNLP.
This sequence works, but only in this order, for now.
Things will get better with the upcoming TF 2.16 release and also once Colab has Cuda 12 by default. All the gory details are in the nbk.
This sequence works, but only in this order, for now.
Things will get better with the upcoming TF 2.16 release and also once Colab has Cuda 12 by default. All the gory details are in the nbk.
February 6, 2025 at 1:35 PM
Initially, I made this demo to show how to install Keras 3.0 with KerasCV and KerasNLP.
This sequence works, but only in this order, for now.
Things will get better with the upcoming TF 2.16 release and also once Colab has Cuda 12 by default. All the gory details are in the nbk.
This sequence works, but only in this order, for now.
Things will get better with the upcoming TF 2.16 release and also once Colab has Cuda 12 by default. All the gory details are in the nbk.
This is what we have been working on for the past year:
https://youtu.be/K2PKZS1fPlY
KerasCV and KerasNLP. New v0.5 released yesterday!
https://youtu.be/K2PKZS1fPlY
KerasCV and KerasNLP. New v0.5 released yesterday!
February 6, 2025 at 1:30 PM
This is what we have been working on for the past year:
https://youtu.be/K2PKZS1fPlY
KerasCV and KerasNLP. New v0.5 released yesterday!
https://youtu.be/K2PKZS1fPlY
KerasCV and KerasNLP. New v0.5 released yesterday!
Great new Object Detection tutorial by @luke_wood_ml, using KerasCV:
https://keras.io/guides/keras_cv/object_detection_keras_cv/
A couple of lines to instantiate an object detection model. It's Keras so all the internals of the model are accessible and KerasCV offers easy...
https://keras.io/guides/keras_cv/object_detection_keras_cv/
A couple of lines to instantiate an object detection model. It's Keras so all the internals of the model are accessible and KerasCV offers easy...
February 6, 2025 at 1:29 PM
Great new Object Detection tutorial by @luke_wood_ml, using KerasCV:
https://keras.io/guides/keras_cv/object_detection_keras_cv/
A couple of lines to instantiate an object detection model. It's Keras so all the internals of the model are accessible and KerasCV offers easy...
https://keras.io/guides/keras_cv/object_detection_keras_cv/
A couple of lines to instantiate an object detection model. It's Keras so all the internals of the model are accessible and KerasCV offers easy...
A new KerasCV starter notebook for the Kaggle competition "UBC Ovarian Cancer Subtype Classification and Outlier Detection (UBC-OCEAN)"
https://www.kaggle.com/code/aritrag/kerascv-train-and-infer-on-thumbnails/notebook
Fun fact: at actually runs on JAX
https://www.kaggle.com/code/aritrag/kerascv-train-and-infer-on-thumbnails/notebook
Fun fact: at actually runs on JAX
[KerasCV] train and infer on thumbnails
Explore and run machine learning code with Kaggle Noteboo...
www.kaggle.com
February 6, 2025 at 1:24 PM
A new KerasCV starter notebook for the Kaggle competition "UBC Ovarian Cancer Subtype Classification and Outlier Detection (UBC-OCEAN)"
https://www.kaggle.com/code/aritrag/kerascv-train-and-infer-on-thumbnails/notebook
Fun fact: at actually runs on JAX
https://www.kaggle.com/code/aritrag/kerascv-train-and-infer-on-thumbnails/notebook
Fun fact: at actually runs on JAX
Good looking Jax coders!
Seriously, this is a Keras 3.0 demo, runnig KerasCV and KerasNLP generative models on Jax, TensorFlow or PyTorch.
https://colab.research.google.com/drive/1tlQ8xOAkrsO34yGoNYVfRAsXbkKoxurS?usp=sharing
It also shows how to install everything.
Seriously, this is a Keras 3.0 demo, runnig KerasCV and KerasNLP generative models on Jax, TensorFlow or PyTorch.
https://colab.research.google.com/drive/1tlQ8xOAkrsO34yGoNYVfRAsXbkKoxurS?usp=sharing
It also shows how to install everything.
February 6, 2025 at 1:19 PM
Good looking Jax coders!
Seriously, this is a Keras 3.0 demo, runnig KerasCV and KerasNLP generative models on Jax, TensorFlow or PyTorch.
https://colab.research.google.com/drive/1tlQ8xOAkrsO34yGoNYVfRAsXbkKoxurS?usp=sharing
It also shows how to install everything.
Seriously, this is a Keras 3.0 demo, runnig KerasCV and KerasNLP generative models on Jax, TensorFlow or PyTorch.
https://colab.research.google.com/drive/1tlQ8xOAkrsO34yGoNYVfRAsXbkKoxurS?usp=sharing
It also shows how to install everything.
@awsaf49 And apply a classic image segmentation model. In this case DeepLabV3Plus from KerasCV.
February 6, 2025 at 1:19 PM
@awsaf49 And apply a classic image segmentation model. In this case DeepLabV3Plus from KerasCV.
Announcement: all KerasCV and KerasNLP models can now be found in Kaggle Models. With nice UI touches: https://www.kaggle.com/discussions/product-feedback/467024
In competitions, this means you can use them with "internet OFF".
Yolov8, Segment Anything, Stable Diffusion and more......
In competitions, this means you can use them with "internet OFF".
Yolov8, Segment Anything, Stable Diffusion and more......
[Product Launch] Welcome Keras to Kaggle Models! | Kaggle
[Product Launch] Welcome Keras to Kaggle Models!.
www.kaggle.com
February 6, 2025 at 1:14 PM
Announcement: all KerasCV and KerasNLP models can now be found in Kaggle Models. With nice UI touches: https://www.kaggle.com/discussions/product-feedback/467024
In competitions, this means you can use them with "internet OFF".
Yolov8, Segment Anything, Stable Diffusion and more......
In competitions, this means you can use them with "internet OFF".
Yolov8, Segment Anything, Stable Diffusion and more......
Here is a Keras starter notebook for the "Harmful Brain Activity Classification" competition by the legendary @awsaf49. Enjoy!
https://www.kaggle.com/code/awsaf49/hms-hbac-kerascv-starter-notebook
https://www.kaggle.com/code/awsaf49/hms-hbac-kerascv-starter-notebook
February 6, 2025 at 1:09 PM
Here is a Keras starter notebook for the "Harmful Brain Activity Classification" competition by the legendary @awsaf49. Enjoy!
https://www.kaggle.com/code/awsaf49/hms-hbac-kerascv-starter-notebook
https://www.kaggle.com/code/awsaf49/hms-hbac-kerascv-starter-notebook
Keras Starter Notebook alert: "Hacking the human vasculature in 3D":
https://www.kaggle.com/code/awsaf49/sennet-hoa-kerascv-starter-notebook-train
https://www.kaggle.com/code/awsaf49/sennet-hoa-kerascv-starter-notebook-train
February 6, 2025 at 1:09 PM
Keras Starter Notebook alert: "Hacking the human vasculature in 3D":
https://www.kaggle.com/code/awsaf49/sennet-hoa-kerascv-starter-notebook-train
https://www.kaggle.com/code/awsaf49/sennet-hoa-kerascv-starter-notebook-train