ferret
alibi
ferret | alibi | |
---|---|---|
2 | 4 | |
203 | 2,289 | |
- | 0.6% | |
8.4 | 7.7 | |
3 days ago | 9 days ago | |
Python | Python | |
MIT License | 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.
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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.
ferret
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[R] Introducing ferret, a new Python package to streamline interpretability on Transformers
Feel free to visit our repo and doc to find handy tutorials and our feature release plan.
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Researchers From Italy Introduce ‘ferret’: A Novel Python Library for Benchmarking Explainers on Transformers
Continue reading | Check out the paper and github link.
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?
pytorch-grad-cam - Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
interpret - Fit interpretable models. Explain blackbox machine learning.
FastTreeSHAP - Fast SHAP value computation for interpreting tree-based models
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