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Author SHA1 Message Date
merlin-lacuna
5c4aa98d2b
Merge 94e057903b72ac8eeb5593016f74f012729211eb into 2252650cfdff3782d5a85458507fe9ec6edde7a4 2024-08-10 22:16:48 -04:00
Vinta Chen
2252650cfd
Merge pull request #2575 from R055A/stable-baselines-3 
Add stable-baselines3
 2024-07-18 05:16:44 +08:00
Adam Ross
1b70a45ba0
Update README.md 2024-04-08 18:21:48 +12:00
Adam Ross
0b8a5d1d93
Update README.md 2024-04-08 17:52:24 +12:00
merlin-lacuna
94e057903b
Add Quix Streams (stream processing w Kafka) 
This is a powerful commercial library which is now being open-sourced. Was developed at McLaren for processing huge sensor data streams transmitted from F1 racing cars, so useful for anyone working with sensor data or any other high-frequency time-series data,

- [https://pypi.org/project/quixstreams/](https://pypi.org/project/quixstreams/)
- [https://github.com/quixio/quix-streams](https://github.com/quixio/quix-streams)

Was originally started as a companion to the [Quix.io](http://quix.io/) platform, but can now be used as a standalone library with any Kafka installation.
 2023-02-20 18:13:46 +13:00
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@ -416,6 +416,7 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [keras](https://github.com/keras-team/keras) - A high-level neural networks library and capable of running on top of either TensorFlow or Theano.
* [pytorch](https://github.com/pytorch/pytorch) - Tensors and Dynamic neural networks in Python with strong GPU acceleration.
* [pytorch-lightning](https://github.com/Lightning-AI/pytorch-lightning) - Deep learning framework to train, deploy, and ship AI products Lightning fast.
* [stable-baselines3](https://github.com/DLR-RM/stable-baselines3) - PyTorch implementations of Stable Baselines (deep) reinforcement learning algorithms.
* [tensorflow](https://github.com/tensorflow/tensorflow) - The most popular Deep Learning framework created by Google.
* [theano](https://github.com/Theano/Theano) - A library for fast numerical computation.
@ -451,6 +452,7 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* Stream Processing
* [faust](https://github.com/robinhood/faust) - A stream processing library, porting the ideas from [Kafka Streams](https://kafka.apache.org/documentation/streams/) to Python.
* [streamparse](https://github.com/Parsely/streamparse) - Run Python code against real-time streams of data via [Apache Storm](http://storm.apache.org/).
* [Quix Streams](https://github.com/quixio/quix-streams) - A stream processing library originally designed for the McLaren Formula 1 racing team that can process high volumes of time-series data with up to nanosecond precision using Apache Kafka as a message broker.
## Distribution