David Cardozo 🇨🇦 @_davidcardozo
Google Developer Expert in AI/ML in JAX/FLAX | Docker Captain | Machine Learning Scientist in Quebec davidcardozo.com 🇨🇦🇫🇷 Joined May 2010-
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David Cardozo 🇨🇦 retweeted
Poco, using Framework H is good friends with Kutu, who uses Framework X. Kutu prefers Framework X as it apparently delivers better speedups than H when Framework X code is written in a proper manner. But Kutu has never ever demonstrated it IRL. Just buzzword keywords. Poco, on…
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David Cardozo 🇨🇦 retweeted
new in CUDA 13 time to update the GPU Glossary again
David Cardozo 🇨🇦 retweeted
Without further ado, The Parallelism Mesh Zoo
I gues that maybe we still do not know if the data manifold hypothesis is true?
I gues that maybe we still do not know if the data manifold hypothesis is true?
David Cardozo 🇨🇦 retweeted
MatchAnything is an insane framework authors have tried to get every view that they can and dump them to modern keypoint matching models for instance you can match iphone map view to google aerial view, thermal camera views to day view even if the images are warped!
David Cardozo 🇨🇦 retweeted
don’t sit there and tell me you’ve suffered, you’ve never had to write a triton kernel in jinja2
"Making a simple monad interface beats..." Classic HN
David Cardozo 🇨🇦 retweeted
@sharifshameem Related active form, I recall a quote along the lines of: "If you can't make yourself happy, make someone else happy" Has been influential for me, pretty powerful for when feeling down.
David Cardozo 🇨🇦 retweeted
JAX on GPU is basically as good, actually
David Cardozo 🇨🇦 retweeted
Jax on TPU will solve all your problems
David Cardozo 🇨🇦 retweeted
@samsja19 @StefanABaumann My stance is unit tests + regression/integration tests + NO typing. But i think I'm one of like 5 people worldwide with this mindset
David Cardozo 🇨🇦 retweeted
For a second I thought someone had dropped the most cursed mixed precision strategy
For a second I thought someone had dropped the most cursed mixed precision strategy
David Cardozo 🇨🇦 retweeted
Real pretraining teams have their offsites at JAX vineyards. Come join the gang
Real pretraining teams have their offsites at JAX vineyards. Come join the gang https://t.co/haO0igKCui
David Cardozo 🇨🇦 retweeted
Wow I love Flax NNX! Gemini 2.5 pro made @cgarciae88's simple FSDP tutorial on how to use FSDP with NNX into into a whole ViT FSDP training (I stole the ViT code from jax-ai-stack and asked Gemini to turn it into a fat data parallel training)
David Cardozo 🇨🇦 retweeted
Just when you thought the day couldn't get any better: an OSS implementation of Genie written JAX/NNX! Code looks great, uses all the latest and greatest (flax, orbax, grain, treescope).
Just when you thought the day couldn't get any better: an OSS implementation of Genie written JAX/NNX! Code looks great, uses all the latest and greatest (flax, orbax, grain, treescope).
David Cardozo 🇨🇦 retweeted
More people should be building robots. It just makes sense.
David Cardozo 🇨🇦 retweeted
If you use cv2, there is a 95% chance you are over 34 years old. Totally okay, but just FYI.
TIL a small machine with GPU in GCP can cause logging to fail for some workloads because of CPU constraints. Pay to log. New startup
David Cardozo 🇨🇦 retweeted
The new Keras release (3.11.0) is out! Main upgrades: • int4 quantization with all backends • Support for Grain, a data i/o and streaming library inspired by tf-data, that is backend-agnostic • On the JAX side, integration with the NNX library -- if you're a NNX user, you…
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