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tensorflow/adanet

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Fast and flexible AutoML with learning guarantees.

7 mentions on Hacker News by 6 people: 1 story, 6 comments · first 2018-10-30 · latest 2021-11-13

Mentions per year 7 mentions · busiest year 2018 (5)
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  1. …inside a single TensorFlow session. Unfortunately that project seems to have been abandoned. [1] https://github.com/tensorflow/adanet
  2. …it off for any practical problem we solved. [1]: https://openai.com/blog/deep-double-descent [2]: https://github.com/tensorflow/adanet
  3. https://github.com/tensorflow/adanet looks effectively modular to me, although I wouldn't consider it the epitome of the same. One needs to be able to merge, move, and remove modules too.
  4. …layers) as part of the NASNet-A architecture (presented in https://arxiv.org/abs/1707.07012 ): https://github.com/tensorflow/adanet/blob/master/adanet/exam... AdaNet supports high level APIs (e.g tf.layers, tf.losses), so it can support…
  5. …it would make it easier to try AdaNet. Feel free to file a feature request on the GitHub repo: https://github.com/tensorflow/adanet .
  6. Example notebook from the official repo which gives a better example on how AdaNet works: https://github.com/tensorflow/adanet/blob/master/adanet/exam... Despite being "AutoML", there's still a lot of work that needs to be done to optimize…