Linking pages
- 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
- 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
- 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
- The Road to 1.0 — Building for the Long Haul — RAPIDS 0.6 Release | by Josh Patterson | RAPIDS AI | Medium https://medium.com/rapids-ai/the-road-to-1-0-building-for-the-long-haul-657ae1afdfd6 0 comments
- GitHub - rapidsai/raft: RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications. https://github.com/rapidsai/raft 0 comments
Linked pages
- ArangoDB, the database for graph and beyond http://www.arangodb.com 99 comments
- Dask | Scale the Python tools you love https://dask.org 86 comments
- NetworkX — NetworkX documentation https://networkx.org/ 63 comments
- pandas - Python Data Analysis Library http://pandas.pydata.org/ 34 comments
- GitHub - rapidsai/cudf: cuDF - GPU DataFrame Library https://github.com/rapidsai/cudf 32 comments
- GitHub - graphistry/pygraphistry: PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer https://github.com/graphistry/pygraphistry 27 comments
- RAPIDS | GPU Accelerated Data Science http://rapids.ai/ 25 comments
- Apache Arrow | Apache Arrow https://arrow.apache.org/ 10 comments
- CuPy: NumPy & SciPy for GPU https://cupy.dev/ 0 comments
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