mandelbrot
m2cgen
mandelbrot | m2cgen | |
---|---|---|
4 | 8 | |
6 | 2,717 | |
- | 0.4% | |
9.2 | 0.0 | |
5 months ago | 6 months ago | |
Dart | Python | |
- | 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.
mandelbrot
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Apple is killing PWA?
It is my conviction that the Web Stack is the most capable, mature, accessible, and performant way of building and running UIs. It is the sheer amount of effort spent by millions of people around the globe that makes it the best UI stack for the vast majority of use cases. Some say that the browser nowadays is the most complex piece of software that few organizations can make. And it has been a while since Chrome super optimized runtimes are capable of running JavaScript at near-native speeds and the WebKit rendering engine is more than ready to generate each frame in under 8ms achieving 120 FPS.
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Python 3.12 Performance - a Quick Test
Not long ago I have created a Mandelbrot set generator in 13 programming languages, Python included. Why not test the most recent version on runtime there? It is a CPU bound benchmark that demonstrates how performant a given language is at executing lots of math computations in nested loops.
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C# `float` vs `double`: Performance Considerations
I tested this hypothesis with Mandelbrot calculation. I.e. I have implemented the same algorithm twice, the only difference being different variable types:
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Mojoš„: Head -to-Head with Python and Numba
mandelbrot.py - baseline implementation
m2cgen
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How to use python ML script in tauri?
Check out: https://github.com/BayesWitnesses/m2cgen
- EleutherAI announces it has become a non-profit
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Redis as a Database ā Data Migration With RedisOM, RedisGears and Redlock
Notice that Iām using random values to populate the Sentiment field. You might compute the values for your fields based on other fields or actually use an ML model to perform the transformation. E.g. you could make use of m2cgen to transform trained models to pure python code and load them in **RedisGears **to be executed in a *GearsBuilder *instance. Another option is to pull out the big guns and go straight to RedisAI.
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Why isnāt Go used in AI/ML?
I wish that it was more common for model outputs to be converted the way bayeswitness does with mc2gen https://github.com/BayesWitnesses/m2cgen
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Use your decision tree model in your Javascript project today with m2cgen
And thatās it! All the magic in just two lines of code. I would like to thank the authors of the m2cgen library and encourage you to try it out.
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We use Rust for an opensource malware detection engine. It's great at detecting ransomwares and we want to share results and ideas with you.
I forgot to update the README. We just replaced RNN with xgboost that has a better f1 and is very quick, as the decision trees are translated to plain rust using m2cgen.
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Is data science/engineering in Rust practical, does it provide any benefit over Python, and what are the best crates?
Probably, as many frameworks come with a Rust support (or there are wrappers). Some models, like decision tree, can also be automatically translated to plain Rust (in my company we use m2cgen to translate xgboost models to plain rust code).
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Flutter Machine Learning App
These repositories on GitHub are good start I think: https://github.com/BayesWitnesses/m2cgen and https://github.com/vickylance/dart_nn
What are some alternatives?
moon - A task runner and repo management tool for the web ecosystem, written in Rust.
TensorFlow.NET - .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
azure-event-hubs - āļø Cloud-scale telemetry ingestion from any stream of data with Azure Event Hubs
Synapses - A group of neural-network libraries for functional and mainstream languages
go-cshared-examples - Calling Go Functions from Other Languages using C Shared Libraries
R Provider - Access R packages from F#
kithon - Python to any languages transpiler
gorse - Gorse open source recommender system engine
Virtual-pdf-library - Virtual PDF Library
randomforest - Random Forest implementation in golang
extism - The framework for building with WebAssembly (wasm). Easily load wasm modules, move data, call functions, and build extensible apps.
gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)