PublicAPI
Documentation and Examples for the DonorDrive Public API (by DonorDrive)
m2cgen
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies (by BayesWitnesses)
| PublicAPI | m2cgen | |
|---|---|---|
| 1 | 8 | |
| 36 | 2,719 | |
| - | 0.7% | |
| 2.7 | 0.0 | |
| 29 days ago | 7 months ago | |
| Python | ||
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
PublicAPI
Posts with mentions or reviews of PublicAPI.
We have used some of these posts to build our list of alternatives
and similar projects.
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Total noob looking to build a D&D app for charity event… looking for friends and guidance.
Hey there! I’m a total noob looking to try and make a twitch overlay for a D&D that allows viewers to influence the game with random events. The Idea is that when a viewer donates to the ExtraLife charity platform our app could pull data from their REST api and use that to tally a vote to something within an event table known to them but not the players. There would be a control panel for the streamer to enter the events and threshold for them to trigger. Now I’m ok-ish with frontend stuff but everything I’ve ever built has been kinda “Legos and duct tape” with code that I’ve repurposed from other tools. I would love an idea of what kinda backend stack would make this easy and how to host this with little to no cost… if you want to help that would be cool, but mainly I don’t really know what I’m doing and would like guidance on which way I should go.
m2cgen
Posts with mentions or reviews of m2cgen.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-02.
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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 — Data Migration With RedisOM, RedisGears and Redlock
Notice that I’m 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 isn’t 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 that’s 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