DrWhy
alibi
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| DrWhy | alibi | |
|---|---|---|
| 3 | 4 | |
| 659 | 2,288 | |
| 0.0% | 0.7% | |
| 2.5 | 7.7 | |
| about 1 year ago | 11 days ago | |
| R | Python | |
| - | GNU General Public License v3.0 or later |
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.
DrWhy
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Best alternatives to 'shap' package?
You might want to check out DrWhy. It’s a collection of R packages that help you explain ML models, but one of the real benefits if you are a Python user is that one of the packages, specifically DALEXtra, allows you to interface with Scikit-Learn models. You can build your tree-based model in Python, and then use the wide variety of tools available in the DrWhy family of packages to explain how your model is working in R.
- [D] Has anyone ever used the "drwhy" package in R for "explainable ai"?
- Has anyone ever used the "drwhy" package in R for "explainable ai"?
alibi
- Alibi: Open-source Python lib for ML model inspection and interpretation
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Ask HN: Who is hiring? (January 2022)
Seldon | Multiple positions | London/Cambridge UK | Onsite/Remote | Full time | seldon.io
At Seldon we are building industry leading solutions for deploying, monitoring, and explaining machine learning models. We are an open-core company with several successful open source projects like:
* https://github.com/SeldonIO/seldon-core
* https://github.com/SeldonIO/mlserver
* https://github.com/SeldonIO/alibi
* https://github.com/SeldonIO/alibi-detect
* https://github.com/SeldonIO/tempo
We are hiring for a range of positions, including software engineers(go, k8s), ml engineers (python, go), frontend engineers (js), UX designer, and product managers. All open positions can be found at https://www.seldon.io/careers/
- Ask HN: Who is hiring? (December 2021)
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Best alternatives to 'shap' package?
Alibi explain might be an option depending on what you are looking for https://github.com/SeldonIO/alibi
What are some alternatives?
interpret - Fit interpretable models. Explain blackbox machine learning.
seldon-core - An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
CARLA - CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
conductor - Conductor is a microservices orchestration engine.
MLServer - An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
causallift - CausalLift: Python package for causality-based Uplift Modeling in real-world business
MindsDB - The platform for customizing AI from enterprise data
captum - Model interpretability and understanding for PyTorch
DALEX - moDel Agnostic Language for Exploration and eXplanation
alibi-detect - Algorithms for outlier, adversarial and drift detection
Lean and Mean Docker containers - Slim(toolkit): Don't change anything in your container image and minify it by up to 30x (and for compiled languages even more) making it secure too! (free and open source)