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General-purpose, long-context autoregressive modeling with Perceiver AR (Google & DeepMind, 2022)

1 juillet 2022 Francis Aucun commentaire

https://arxiv.org/abs/2202.07765 [2202.07765] General-purpose, long-context autoregressive modeling with Perceiver AR – arXiv.org Real-world data is high-dimensional: a book, image, or musical

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29 June, 2022 21:32

29 juin 2022 Francis Aucun commentaire

https://dirty-cat.github.io/stable/

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Full article: Five components of social design: A unified framework to support research and practice

29 juin 2022 Francis Aucun commentaire

https://www.tandfonline.com/doi/full/10.1080/14606925.2022.2088098

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Researchers From INRIA France Propose ‘Pythae’: An Open-Source Python Library Unifying Common And State-of-the-Art Generative AutoEncoder (GAE) Implementations – MarkTechPost

26 juin 2022 Francis Aucun commentaire

https://www.marktechpost.com/2022/06/24/researchers-from-inria-france-propose-pythae-an-open-source-python-library-unifying-common-and-state-of-the-art-generative-autoencoder-gae-implementations/ https://github.com/clementchadebec/benchmark_VAE

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GitHub – SelfExplainML/PiML-Toolbox: PiML (Python Interpretable Machine Learning) toolbox for model development and validation

26 juin 2022 Francis Aucun commentaire

https://github.com/SelfExplainML/PiML-Toolbox

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Building Data Reliability Systems Is Hard

25 juin 2022 Francis Aucun commentaire

https://seattledataguy.substack.com/p/building-data-reliability-systems

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GitHub – LineaLabs/lineapy: Data engineering, simplified. LineaPy creates a frictionless path for taking your data science artifact from development to production.

25 juin 2022 Francis Aucun commentaire

https://github.com/LineaLabs/lineapy

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Tracking Progress in Natural Language Processing

24 juin 2022 Francis Aucun commentaire

https://github.com/sebastianruder/NLP-progress sebastianruder/NLP-progress: Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for

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23 June, 2022 10:54

23 juin 2022 Francis Aucun commentaire

https://github.com/facebookresearch/metaseq/tree/main/projects/OPT

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Simple scalable graph neural networks | by Michael Bronstein | Towards Data Science

23 juin 2022 Francis Aucun commentaire

https://towardsdatascience.com/simple-scalable-graph-neural-networks-7eb04f366d07

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Articles récents

  • General-purpose, long-context autoregressive modeling with Perceiver AR (Google & DeepMind, 2022)
  • 29 June, 2022 21:32
  • Full article: Five components of social design: A unified framework to support research and practice
  • Researchers From INRIA France Propose ‘Pythae’: An Open-Source Python Library Unifying Common And State-of-the-Art Generative AutoEncoder (GAE) Implementations – MarkTechPost
  • GitHub – SelfExplainML/PiML-Toolbox: PiML (Python Interpretable Machine Learning) toolbox for model development and validation

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