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Maki Nage is now in a good shape, and if you work on stream processing, give it a try!
@ReactiveX and @apachekafka for data science.
@PythonWeekly
blog.oakbits.com/stream-proc…
A new major release of deepspeech-server is available. It now uses @coqui_ai as the STT backend.
github.com/MainRo/deepspeech…
Dig into the brand new RxPY v4 release with this spring offer from @PacktPub. Hands-On Reactive Programming With Python is only 10€.
packt.com/product/programmin…
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I finally found some time to complete the GAN specialization by @realSharonZhou. It is definitely in the top 3 online courses that I followed.
Eager to test a cycleGAN on audio instruments!
I just noticed that my GitHub repo of "reactive programming with python" is the fourth most starred of @PacktPub's reactive programming books.
Everybody interested in @ReactiveX can look at it and find many examples, up to date with #rxpy v3:
github.com/PacktPublishing/H…
New year resolution idea: Learn Reactive Programming. The 5$ campaign of @PacktPub is still running. So start from the base concepts up to mastering it with my book:
packtpub.com/product/hands-o…
Maki Nage 0.8 is out! This release contains initial support for custom connectors. Check out the documentation.
makinage.org/doc/makinage-bo…
An article on Distogram. This maki-nage components computes composable histograms on streaming data.
#rxpy reached 4K stars. Thanks to all the stargazers!
For what kind of application do you use RxPY?
What do you miss most in the library?
Reply here to make @ReactiveX on python even better in the future.
github.com/ReactiveX/RxPY/st…
Distributed computed with RxPY is now very easy. Try out RxRay, an operator to distribute a RxPY pipeline on a ray cluster. @ReactiveX @raydistributed #rxpy
github.com/maki-nage/rxray/
Yes! This is what I've been waiting for since the begining of type hinting in python. I bet that python performance will dramatically increase in the next few years.
github.com/facebookincubator…
After long procrastination, there it is: How Explainable Boosting Machines - from @MSFTResearch - can be efficient and explainable.
#explainableai
blog.oakbits.com/ebm-algorit…
We just released an ONNX converter for the only machine learning algorithm that combines high performances and full explainability: Explainable Boosting Machines (aka EBM)
@onnxai @onnxruntime
github.com/SoftAtHome/ebm2on…
Today's article is for ReactiveX beginners. Learn how to use the base operators and combine them together.
@ReactiveX #rxpy
blog.oakbits.com/rxpy-explai…
Back to school ! This is the time to learn new things. Read my new article to start playing with Reactive Programming.
@ReactiveX #rxpy @PythonWeekly
blog.oakbits.com/introductio…
Romain Picard retweeted
catastrophique en terme de souveraineté. Je ne peux pas le dire autrement bfmtv.com/tech/en-pleine-cri…
