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docs: add some projects (#1097)

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* docs: add some projects

* chore: update docs
This commit is contained in:
Henry Schreiner
2022-04-28 19:18:49 -04:00
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parent de07370930
commit de44c88c75
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README.md
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@@ -142,25 +142,25 @@ Here are some repos that use cibuildwheel.
|-----------------------------------|----|----|:------|
| [scikit-learn][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The machine learning library. A complex but clean config using many of cibuildwheel's features to build a large project with Cython and C++ extensions. |
| [Tornado][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. |
| [NumPy][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The fundamental package for scientific computing with Python. |
| [pytorch-fairseq][] | ![github icon][] | ![apple icon][] ![linux icon][] | Facebook AI Research Sequence-to-Sequence Toolkit written in Python. |
| [Matplotlib][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The venerable Matplotlib, a Python library with C++ portions |
| [MyPy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | MyPyC, the compiled component of MyPy. |
| [Kivy][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS |
| [NCNN][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | ncnn is a high-performance neural network inference framework optimized for the mobile platform |
| [Prophet][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. |
| [MyPy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | The compiled version of MyPy using MyPyC. |
| [pydantic][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Data parsing and validation using Python type hints |
| [uvloop][] | ![github icon][] | ![apple icon][] ![linux icon][] | Ultra fast asyncio event loop. |
| [psutil][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Cross-platform lib for process and system monitoring in Python |
| [vaex][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀 |
| [Google Benchmark][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A microbenchmark support library |
[scikit-learn]: https://github.com/scikit-learn/scikit-learn
[Tornado]: https://github.com/tornadoweb/tornado
[NumPy]: https://github.com/numpy/numpy
[pytorch-fairseq]: https://github.com/pytorch/fairseq
[Matplotlib]: https://github.com/matplotlib/matplotlib
[Kivy]: https://github.com/kivy/kivy
[NCNN]: https://github.com/Tencent/ncnn
[Prophet]: https://github.com/facebook/prophet
[MyPy]: https://github.com/mypyc/mypy_mypyc-wheels
[pydantic]: https://github.com/samuelcolvin/pydantic
[uvloop]: https://github.com/MagicStack/uvloop
[psutil]: https://github.com/giampaolo/psutil
[vaex]: https://github.com/vaexio/vaex
[Google Benchmark]: https://github.com/google/benchmark
[appveyor icon]: docs/data/readme_icons/appveyor.svg
[github icon]: docs/data/readme_icons/github.svg