Mike McCarty @mikemccarty_
Software Engineering Manager @NVIDIA @RAPIDSAI, Formerly @capitalone @anacondainc @TheNRAO mikemccarty.io Washington, DC Joined March 2009-
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Mike McCarty retweeted
🙌 We’re excited to have @HEPfeickert, John Kirkham, and @rarts_ruby teaching us "Reproducible Machine Learning Workflows for Scientists with pixi" at #SciPy2025! 🔥 Learn how to create fast, reliable, and reproducible ML environments using pixi, the next-gen package manager!
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Mike McCarty retweeted
Today, @pydatanyc kicked off with a tutorial on GPU Accelerated Python! @numba_jit, @CuPy_Team, and @RAPIDSai are all great ways to accelerate your code. Check out the full tutorial on the NVIDIA Accelerated Computing Hub to learn more: github.com/NVIDIA/acceler…
Mike McCarty retweeted
📣@DataPolars GPU engine powered by RAPIDSai cuDF is now available in open beta. ⚡Accelerate Polars workflows up to 13x on NVIDIA GPUs. bit.ly/4dsrUgF
Mike McCarty retweeted
Together with NVIDIA RAPIDS we bring GPU acceleration to Polars! Read more in our release blog: pola.rs/posts/gpu-engi…
Mike McCarty retweeted
There are so many cool things in the new @RAPIDSai 24.02 release, but I think an under-appreciated one is the approach to deploy @dask_dev on @databricks with GPUs! It's just so easy to run scale-out, GPU-accelerated Python now across all major clouds: medium.com/rapids-ai/rapi…
Mike McCarty retweeted
Exactly one month ago I wrote a blog post about versioning software libraries by the amount of effort it takes to upgrade to a new version. jacobtomlinson.dev/effver/ Now EffVer has been adopted by @matplotlib! Wild! matplotlib.org/devdocs/devel/…
Mike McCarty retweeted
Video of the explosion. Hope everyone was out of the house #Arlington #ballston @ARLnowDOTcom @RealTimeNews10
Mike McCarty retweeted
🚀 Exciting News! 🚀 Thrilled to announce that @nvidia has joined @sklearn_inria as a corporate sponsor! 🤝💡 Their commitment to advancing open-source software in #MachineLearning is stronger than ever. Together, let's push the boundaries of innovation! bit.ly/3SJAT6z
Mike McCarty retweeted
RAPIDS cuDF’s pandas accelerator mode is now available in open beta, accelerating #pandas nearly 150x with zero code changes. #DataScience, #Python, #RAPIDS Read the announcement blog: 👇 nvda.ws/469JnqC
I'm excited to share that the RAPIDS 23.08 release adds support for CUDA 12 Conda packages! Thanks to all in the conda-forge community and at NVIDIA for help making this possible! medium.com/rapids-ai/rapi…
Mike McCarty retweeted
New in @scikit_learn -- experimental support for building models on GPUs with @PyTorch - @thomasjpfan at #SciPy2023
Mike McCarty retweeted
This week I spent some time debugging a problem that was discovered when using @ApacheBeam, on a @dask_dev cluster with hundreds of @nvidia GPUs. I thought it might be interesting to write up my debugging process for looking into bugs at this scale. jacobtomlinson.dev/posts/2023/deb…
How can financial services firms effectively detect fraudulent transactions across millions of endpoints? Mastercard is using transaction graph networks and #machinelearning to detect fraud. Join the #GTC23 session on March 22 at 10 AM ET. bit.ly/405GHYV
Deutsche Bank details their #LLM journey and model training approach using Bert, FinFormer, GPT and T5, and strategy for model adaptation via fine-tuning and prompt learning using NeMo Megatron. Learn more in their #GTC23 session on March 23 at 9 AM PT. bit.ly/3Z2nSo4
Are you in the financial service industry and looking to accelerate risk calculations? Check out how multiple GPUs on virtualized servers, leveraging NVIDIA AI Enterprise, can improve performance. #GPUacceleration #GTC23 bit.ly/3TwtLZD
Mike McCarty retweeted
Check out this detailed and fascinating new blog from the NVIDIA Merlin team! medium.com/nvidia-merlin/…
Mike McCarty retweeted
Tip the scales with more speed and balance your datasets with cuML and imbalanced-learn resampling @becker_data @dante_dgd @cjnolet medium.com/rapids-ai/fast…
Mike McCarty retweeted
Dask Demo Day is getting closer, join us on Thursday 02/16 at 11am EST. We have a 5 great talks so far (see schedule on thread - pun intended) us06web.zoom.us/j/89383035703?…
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