Seldon Data Science and Research. Developers of Alibi Explain bit.ly/3731p1z and Alibi Detect bit.ly/3kKLRb7. Slack: bit.ly/3iEVohh
Joined July 2021
- Tweets 174
- Following 66
- Followers 79
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35 Photos and videos
Pinned Tweet
26 Jul 2021
There is an increasing awareness among practitioners that data drift poses a challenge to the robust deployment of machine learning models.
But what precisely is meant by “drift” and how can we protect ourselves against it? 👇📽️ 🧵
youtube.com/watch?v=JaPMFf0c…
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24 Apr 2023
Check out Alex's (@oblibob) blog post on generative modelling using vector-quantized VAEs! seldon.io/generative-modelin…
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Seldon Research retweeted
8 Feb 2023
We have a paper accepted into the R2HCAI workshop titled, Model-agnostic and Scalable Counterfactual Explanations via Reinforcement Learning. 🙌
Very excited to be a part of the conversation around the advances of responsible AI. 💪
Learn more: r2hcai.github.io/AAAI-23/ind…
#AAAI
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2 Feb 2023
We are excited to announce the release of Alibi Detect v0.11.0, featuring widened serialisation support and a new backend that allows drift detection to be rapidly performed on large datasets. seldon.io/alibi-detect-v0-11…
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2 Feb 2023
This drastically speeds and scales up the detectors to large dataset sizes, with dataset sizes in the order of 100,000’s easily achievable on a single consumer grade GPU.
ALT Scaling of prediction time with KeOps and PyTorch backends.
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2 Feb 2023
For more details, check out our example benchmarking drift detectors with the KeOps backend here: docs.seldon.io/projects/alib…
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12 Jan 2023
We are pleased to announce the release of Alibi Explain v0.9.0 with support for calculating global feature importance via Permutation Importance or Partial Dependence Variance. github.com/SeldonIO/alibi
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12 Jan 2023
Both of these insights are complementary as PI captures not only main feature effects but also interactions, and we recommend considering both, when possible, for a thorough analysis of model behaviour.
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12 Jan 2023
Much more information on Permutation Importance and Partial Dependence Variance, including worked examples, can be found on our documentation pages: docs.seldon.io/projects/alib…
docs.seldon.io/projects/alib…
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26 Sep 2022
We are delighted to announce the release of Alibi Explain github.com/SeldonIO/alibi v0.8.0 featuring support for Partial Dependence plots, enabling global explainability of any model.
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26 Sep 2022
Our PD implementation in Alibi v0.8.0 has the following advantages over other implementations:
- Applies to any black-box model
- Full support for 1-way, 2-way and higher order PD for numerical and categorical variables
- Flexible plotting functionality for 1-way and 2-way PD
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26 Sep 2022
For a more extensive discussion of the method, its usage and examples please visit our documentation page: docs.seldon.io/projects/alib….