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- The One Billion Row Challenge in CUDA: from 17 minutes to 17 seconds | Taeksang Peter Kim https://tspeterkim.github.io/posts/cuda-1brc 81 comments
- GitHub - Ly0n/awesome-robotic-tooling: Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace https://github.com/Ly0n/awesome-robotic-tooling 54 comments
- The best open source software of 2021 | InfoWorld https://www.infoworld.com/article/3637038/the-best-open-source-software-of-2021.html 5 comments
- Unum Rocks: 10 TBs, 64 Cores and CUDA by Unum https://unum.cloud/post/2022-09-13-ucsb-10tb/ 2 comments
- Episode 91: C++23 (Part 2) | ADSP: The Podcast https://adspthepodcast.com/2022/08/19/Episode-91.html 0 comments
- High-performance analytics | Tably https://tably.com/blog/high-performance-analytics 0 comments
- GitHub - EthicalML/awesome-production-machine-learning: A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning https://github.com/EthicalML/awesome-production-machine-learning 0 comments
- GitHub - protontypes/awesome-robotic-tooling: Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace. https://github.com/protontypes/awesome-robotic-tooling 0 comments
- GitHub - r0f1/datascience: Curated list of Python resources for data science. https://github.com/r0f1/datascience 0 comments
- GitHub - ml-tooling/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. https://github.com/ml-tooling/best-of-ml-python 0 comments
- Enabling low code graph data apps with Amazon Neptune and Graphistry | AWS Database Blog https://aws.amazon.com/blogs/database/enabling-low-code-graph-data-apps-with-amazon-neptune-and-graphistry/ 0 comments
- Ubuntu for machine learning with NVIDIA RAPIDS in 10 min | Ubuntu https://ubuntu.com/blog/ubuntu-nvidia-rapids 0 comments
- Image Segmentation: Tips and Tricks from 39 Kaggle Competitions | Neptune Blog https://neptune.ai/blog/image-segmentation-tips-and-tricks-from-kaggle-competitions 0 comments
- Python Pandas at Extreme Performance | by yaron haviv | Towards Data Science https://towardsdatascience.com/python-pandas-at-extreme-performance-912912b1047c 0 comments
- MLOps for Python: Real-Time Feature Analysis | Iguazio https://www.iguazio.com/blog/mlops-for-python/ 0 comments
- The Modin view of Scaling Pandas. Comparing Modin with Dask, Ray, Vaex… | by Devin Petersohn | Towards Data Science https://towardsdatascience.com/the-modin-view-of-scaling-pandas-825215533122 0 comments
- cudf/README.md at branch-23.04 · rapidsai/cudf · GitHub https://github.com/gpuopenanalytics/pygdf/blob/master/README.md 0 comments
- Machine Learning Toolbox https://amitness.com/toolbox/ 0 comments
- GitHub - BlazingDB/blazingsql: BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF. https://github.com/blazingdb/pyBlazing/ 0 comments
- GPU-Accelerated Signal Processing with cuSignal | by Adam Thompson | RAPIDS AI | Medium https://medium.com/rapids-ai/gpu-accelerated-signal-processing-with-cusignal-689062a6af8 0 comments
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