GPU Data Scientist

sharing data science and tech I find interesting. GPUs before they were cool

[Stable @trystable]

We just issued the first ever blockchain native mortgage. On @solana.

[GPU Data Scientist @gpudatascience]

https://t.co/0ZfWEbBX5Y

[GPU Data Scientist @gpudatascience]

https://t.co/0ZfWEbBX5Y

[Jim Scott @kingmesal]

Check out this new #tutorial from @marlene_zw to learn how to run @RAPIDSai on @Microsoft @Windows 10 using #WSL2 - a feature that allows you to run your favorite Linux software, including @nvidia #CUDA, on Windows. https://t.co/AU5ZInbP48

[RAPIDS AI @RAPIDSai]

Use @PrometheusIO and @Grafana to instrument your @rapidsai @dask_dev deployments and monitor how your workflows are performing on your systems. https://t.co/uCLRqyi2WJ

[Bojan Tunguz @tunguz]

TPS April 2021 @kaggle competition - @rapidsai tSNE and UMAP dimensionality reduction and visualizations.

https://t.co/pVTKz73gYz

[Louis Maddox @permutans]

Nice, @RAPIDSai cuML has scikit-learn compatible preprocessing graduating out of experimental incubator namespace in next release, 0.19 (30 mins into their #GTC21 talk https://t.co/0tpveTTo3K)
✍️ Current docs here: https://t.co/8obpnOosTO
💾 Sneak preview: https://t.co/2sxD6v1sPK

[RAPIDS AI @RAPIDSai]

We are growing beyond the #Pandas API. @RAPIDSai #cuDF v0.19 introduces improved support for nested types such as lists and structs. Segmented sort up to 35x faster with cuDF on #GPUs! https://t.co/hhhJlygNka

[David McClure @clured]

All 1.8M papers in arXiv - title + abstract embedded with SPECTER (@ai2_allennlp) -> UMAP (@RAPIDSai). Colored by the year of the "update" date, which I think roughly maps to the original upload date.

[NVIDIA AI @NVIDIAAI]

Check out part 2 blog @NASA researcher Christoph Keller and @NVIDIA's Zahra Ronaghi are monitoring the impact and decline of air pollution during the COVID-19 pandemic using @RAPIDSai: https://t.co/VAOuUOiRma

[Quansight @quansightai]

Much of the scikit-image API is now available for use with GPUs. Read our partner post with @nvidia from Gigon Bae (NVIDIA) and Gregory R. Lee (Quansight). https://t.co/Wn1dEknGLq
#DataScience #pythonprogramming #science #dataviz

[TiDB, powered by PingCAP @PingCAP]

🏅 At #TiDB Hackathon 2020, a team won two medals by using #GPU acceleration techniques to improve the performance of #CPUintensive analytical query processing. They improved performance by 10x~150x. 📈
Learn how they made it: https://t.co/H0hFFHE8s4

[DeepGraphLibrary @DGLGraph]

https://t.co/DkRVHZblaE Join us tomorrow for our 4th GNN user group free. #MachineLearning #graph #deeplearning @RAPIDSai

[RAPIDS AI @RAPIDSai]

Learn how we're fuzz testing @RAPIDSai #cuDF IO readers and writers with randomly generated data and parameters to catch bugs and improve reliability. https://t.co/u8kNqtXk2z

[Keith Kraus @keithjkraus]

This has been awesome work spearheaded by @premsagar_rs1 and has really helped us to hammer on some of the most complex pieces of code in libcudf.

[ShannonMcPhee @ShannonMcPhee]

Find out why @RAPIDSai is "pretty much amazing" for end-to-end data analytics in this new overview & tutorial from @Krishnaik06: https://t.co/eG4VjNPnBu 🔥

#datascience #DataAnalytics

[Jim Scott @kingmesal]

#cybersecurity workflows need to flag malicious traffic as close to the event as possible. See an 11x speed-up by switching your streaming inference pipeline to @RAPIDSai cuStreamz & FIL on #GPU. Process +1M connection logs/s and mitigate attacks quickly. https://t.co/kLzwY0D7oS

[NVIDIA AI @NVIDIAAI]

Our partners who use @dask_dev and @RAPIDSai will be at #DaskSummit2021 this week. Learn more about sessions from @googlecloud, @Walmarttech, @CapitalOne, and @plotlygraphs: https://t.co/s8L0JZiAIa

[RAPIDS AI @RAPIDSai]

See how to dramatically speed up compute processes for data engineering and #MachineLearning workloads using @RAPIDSai and @cloudera Machine Learning (CML). https://t.co/f4O4Dx1r1R