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We at least must support out of core exporting, ideally would also support OOC training for some engines or algorithms. Maybe for wrapping https://github.com/JohnLangford/vowpal_wabbit and neural netw…
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Goal: choose algorithms that:
* ideally have a Rust implementation
* ideally the implementation is streaming/online (as this is easier to scale up)
* are valuable to (potential) Amadeus users
Ru…
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Thank you very much for your work. I have gone through all the issues and readme, as well as searched online. I noticed that everyone is using the pre-trained algorithms you provided to train their ow…
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Decide whether to include or not `streaming` and related combinators
* Don't include = more choice to the user (whom may settle for `conduit` or whatnot)
* Include = more self-contained package
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Post your questions here about: “Reinforcement Learning” and “Deep Reinforcement Learning”, Thinking with Deep Learning, Chapters 15 & 16
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Below are some places to look at to see what kinds of topics should be covered. Comment below for what you think should be covered in the series of videos. Topics can range from simple to complex.
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Hey there! I'm a core maintainer of [River](https://github.com/online-ml/river/), a Python library for online machine learning. Do you have a stance on online learning? I always thought it would be co…
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Regarding the sklearn.decomposition.dict_learning.py module:
1. currently, both the DictionaryLearning and MiniBatchDictionaryLearning classes only support LARS and Coordinate Descent algorithms for S…
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Implementation of on policy algorithms would need an online buffer that holds the transitions, calculates the generalized advantage returns and then samples batches during training.
Or, should we l…
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There's a culture in ML of authors making their textbooks available online (to supplement the traditional print editions), which is extremely beneficial to students & researchers. The following is a l…
ghost updated
5 years ago