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Un article intéressant :
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`The Forward-Forward Algorithm: Some Preliminary Investigations
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<https://www.cs.toronto.edu/~hinton/FFA13.pdf>`_
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* `The Forward-Forward Algorithm: Some Preliminary Investigations
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<https://www.cs.toronto.edu/~hinton/FFA13.pdf>`_
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* `Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
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<https://proceedings.mlr.press/v9/gutmann10a.html>`_
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Et d'autres papiers :
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* `A Succinct Summary of Reinforcement Learning
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<https://arxiv.org/abs/2301.01379>`_
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* `Top ML Papers of the Week (Jan 1-8)
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<https://github.com/dair-ai/ML-Papers-of-the-Week>`_
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* `sparseml <https://github.com/neuralmagic/sparseml>`_
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* `solo-learn <https://github.com/vturrisi/solo-learn>`_
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* `deepchecks <https://github.com/deepchecks/deepchecks>`_

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