Keras community member Alan is now presenting the new CLAHE image preprocessing layer — thanks for the contribution!
TOOLS
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Try out Kinetic on GitHub – New Keras Team Release
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Try it out here: github.com/keras-team/kineti…
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Distributed Training and Async Jobs Support Across Keras Backends
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Supports distributed training, async jobs, and works with all Keras backends
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Keras Kinetic: New Library for TPU and GPU Job Execution
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A brand new product: the Keras Kinetic library lets you run jobs on TPU (and Google Cloud GPUs) via a simple decorator. Takes care of packaging your code, uploading your dataset, log streaming, winding down jobs…
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Keras 3.14 Release: New Features Announcement
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Upcoming Keras 3.14 release: a host of new features…
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Learn More About Characters on Runway ML Developer Platform
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Learn more: dev.runwayml.com/characters
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KerasHub receives more state-of-the-art model architectures
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More SotA model architectures on KerasHub…
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Profiling Diffusion Pipelines with Claude for torch.compile Optimization
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We're shipping an elaborate guide on how to profile diffusion pipelines in Diffusers to set them up for success with `torch.compile` 🔥 We devised a workflow with Claude & it turned out to be quite effective. It served its purpose well. With the help of the trace alone, we uncovered: 1. CPU <-> GPU syncs 2. CPU overheads 3. Kernel launch delays When we provided the profile trace and our observations from the trace to Claude, and helped us get rid of the issues, it did well. However, it did so iteratively. The process was intellectually fun and engaging!
→ View original post on X — @huggingface, 2026-04-03 17:07 UTC
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Gemma 4 Checkpoints Available on Hugging Face with Apache License
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Thanks for following us!
— Google Gemma (@googlegemma) 3 avril 2026
We're excited to see what you all build with Gemma 4!
In case you missed it, you can find all our checkpoints, with an Apache 2.0 License, on Hugging Face: pic.twitter.com/64t6fSefw4Thanks for following us! We're excited to see what you all build with Gemma 4! In case you missed it, you can find all our checkpoints, with an Apache 2.0 License, on Hugging Face:
→ View original post on X — @huggingface, 2026-04-03 16:43 UTC
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Using Banodoco for Creative AI Projects at Mars College
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Banodoco is a good one. I'm doing this for @Mars_College right now.