Machine Learning
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A research team from DeepMind and Google Brain proposes Launchpad, a programming model that simplifies the process of defining and launching instances of ...

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GPT-J was released a few days ago, and in testing I noticed it did code generation rather well, so I ran it through a few more tests and the results ...

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trying the instructions at https://blog.tensorflow.org/2021/05/introducing-tensorflow-decision-forests.html pip says it's not found anyone else have ...

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A simple tool that can plot learning curves easily for reinforcement learning (RL).https://github.com/gxywy/rl-plotterInstallationfrom PIPpip install ...

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A research team from McGill University, Université de Montréal, DeepMind and Mila presents an end-to-end, model-based deep reinforcement learning (RL) agent ...

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An IEEE team provides a comprehensive overview of the bottom-up and top-down design approaches toward neuromorphic intelligence, highlighting the different ...

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A research team from UC Berkeley, Facebook AI Research and Google Brain abstracts Reinforcement Learning (RL) as a sequence modelling problem. Their ...

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This short ⏱ video (https://youtu.be/bcLsnxkY36s) is a paper review on "AdamP: Slowing Down the Slowdown for momentum optimizers" presented at ICLR 2021 by ...

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An example project made using Jina(AI search framework).This is a short 42 line script to index ~800 poem verses from the huggingface `poem_sentiment` ...

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I'm reading Jax's documentation today and in there was a link to a "quite accessible videos to get a deeper sense" of Automatic Differentiation and it's ...

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I get it. I’ve recently been thinking about writing a paper that is sort of the opposite than the typical one in that it’s all about the practical lessons ...

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submitted by /u/valprop1 Source link

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