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@amneumarkt · Post #721 · 01/16/2026, 06:26 AM
#visualization This is actually smart. https://medium.com/@redhotchilipaper/using-trapezoids-to-visualize-matrix-multiplication-with-applications-to-data-science-e1cff40de098
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Source channel @githubtrending · Post #14747 · May 25
#python#deep_learning#intel#machine_learning#neural_network#pytorch#quantization Intel Extension for PyTorch boosts the speed of PyTorch on Intel hardware, including both CPUs and GPUs, by using special features like AVX-512, AMX, and XMX for faster calculations[5][2][4]. It supports many popular large language models (LLMs) such as Llama, Qwen, Phi, and DeepSeek, offering optimizations for different data types and easy GPU acceleration. This means you can run advanced AI models much faster and more efficiently on your Intel computer, with simple setup and support for both ready-made and custom models. https://github.com/intel/intel-extension-for-pytorch
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@amneumarkt · Post #713 · 12/19/2025, 05:44 PM
#visualization Broken Chart: discover 9 visualization alternatives – Dr Dominic Royé https://dominicroye.github.io/blog/2025-12-14-broken-charts/
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@amneumarkt · Post #649 · 12/05/2024, 09:01 PM
#visualization introduction | Deneb https://deneb-viz.github.io/
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@amneumarkt · Post #646 · 11/29/2024, 04:09 AM
#visualization Plotly will supports polars natively in v6 . https://github.com/plotly/plotly.py/releases/tag/v6.0.0rc0
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@amneumarkt · Post #643 · 11/24/2024, 03:57 PM
#visualization Dashboard Deutschland https://www.dashboard-deutschland.de/
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@amneumarkt · Post #619 · 09/04/2024, 05:35 PM
#visualization The Data Viz Tools We Used In 2023 https://data-viz-tools-2023.netlify.app
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@amneumarkt · Post #614 · 08/18/2024, 07:47 AM
#visualization There was a joke saying that every tree in Germany has been touched by some human. There's even a research on the topic of how dense the buildings are in Germany. Based on this research, the farthest distance that is away from a building is only 6.3km. I just can't believe this. I feel something is wrong but I don't have data to validate. Behnisch, Martin, Martin Schorcht, Steffen Kriewald, and Diego Rybski. 2019. “Settlement Percolation: A Study of Building Connectivity and Poles of Inaccessibility.” Landscape and Urban Planning 191 (103631): 103631.
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@amneumarkt · Post #592 · 06/27/2024, 09:56 PM
#visualization Beautiful. There are details that the author designed quite well. How long are the nights? https://plotparade.com/gallery_sunrise.html
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@amneumarkt · Post #566 · 03/29/2024, 01:55 PM
#visualization Some comments in this post are just so funny. https://www.reddit.com/r/MapPorn/s/HsLvLGzLb6
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@amneumarkt · Post #518 · 12/20/2023, 08:35 AM
#visualization Source: https://www.statista.com/statistics/520952/netherlands-number-of-live-born-children-by-marital-status-of-the-mother/
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@amneumarkt · Post #514 · 12/01/2023, 03:12 PM
#visualization Finland vs UK, and Turkiye/Turkey is such a nice example of data quality issues. https://www.reddit.com/r/MapPorn/s/QYGauVmzOP
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@amneumarkt · Post #505 · 11/09/2023, 07:13 PM
#visualization https://www.reddit.com/r/dataisbeautiful/s/V05LnvCzqC
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