ServiceTalk
hummingbird
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ServiceTalk | hummingbird | |
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4 | 9 | |
890 | 3,302 | |
0.9% | 0.7% | |
9.5 | 7.1 | |
about 23 hours ago | 6 days ago | |
Java | Python | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ServiceTalk
- ServiceTalk – A networking framework that evolves with your application
- Does FAANG companies encourage the use of Java SE instead of Netty or batteries included framework like Spring Boot?
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Supreme Court, in a 6–2 ruling in Google v. Oracle, concludes that Google’s use of Java API was a fair use of that material
And Java.
hummingbird
- Treebomination: Convert a scikit-learn decision tree into a Keras model
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[D] GPU-enabled scikit-learn
If are interested in just predictions you can try Hummingbird. It is part of the PyTorch ecosystem. We get already trained scikit-learn models and translate them into PyTorch models. From them you can run your model on any hardware support by PyTorch, export it into TVM, ONNX, etc. Performance on hardware acceleration is quite good (orders of magnitude better than scikit-learn is some cases)
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Machine Learning with PyTorch and Scikit-Learn – The *New* Python ML Book
I think Rapids AI's cuML tried to go into this direction (essentially scikit-learn on the GPU): https://docs.rapids.ai/api/cuml/stable/api.html#logistic-reg.... For some reason it never took really off though.
Btw., going on a tangent, you might like Hummingbird (https://github.com/microsoft/hummingbird). It allows you trained scikit-learn tree-based models to PyTorch. I watched the SciPy talk last year, and it's a super smart & elegant idea.
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Export and run models with ONNX
ONNX opens an avenue for direct inference using a number of languages and platforms. For example, a model could be run directly on Android to limit data sent to a third party service. ONNX is an exciting development with a lot of promise. Microsoft has also released Hummingbird which enables exporting traditional models (sklearn, decision trees, logistical regression..) to ONNX.
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Supreme Court, in a 6–2 ruling in Google v. Oracle, concludes that Google’s use of Java API was a fair use of that material
And Python.
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[D] Here are 3 ways to Speed Up Scikit-Learn - Any suggestions?
For inference, you can convert your models to other formats that support GPU acceleration. See Hummingbird https://github.com/microsoft/hummingbird
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[D] Microsoft library, Hummingbird, compiles trained ML models into tensor computation for faster inference.
The surprising thing is that Hummingbird can be faster than the GPU implementation of LightGBM (and XGBoost) if you use tensor compilers such as TVM. [The paper](https://www.usenix.org/conference/osdi20/presentation/nakandala) describes our findings. We have also open sourced the [benchmark code](https://github.com/microsoft/hummingbird/tree/main/benchmarks) so you try yourself!
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I learned about Microsoft's Hummingbird library today. 1000x performance??
I took their sample code from Github and tweaked it to spit out times for each model's prediction, as well as increase the number of rows to 5 million. I used Google's Colab and selected GPU for my hardware accelerator. This gives an option to run code on GPU, not that all computations will happen on the GPU.
What are some alternatives?
AkkaGRPC - Akka gRPC
onnx - Open standard for machine learning interoperability
commons-networking - commons networking utils
swift - The Swift Programming Language
TLS Channel - A Java library that implements a ByteChannel interface over SSLEngine, enabling easy-to-use (socket-like) TLS for Java applications.
sentence-transformers - Multilingual Sentence & Image Embeddings with BERT
Drift - An annotation-based Java library for creating Thrift serializable types and services.
cuml - cuML - RAPIDS Machine Learning Library
rsocket-java - Java implementation of RSocket
docker - Docker - the open-source application container engine
msquic - Cross-platform, C implementation of the IETF QUIC protocol, exposed to C, C++, C# and Rust.
chemprop - Message Passing Neural Networks for Molecule Property Prediction