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Post a reading of your own that uses deep learning for social science analysis and understanding, with a focus on network, graph, or tabular data.
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![jfwu](https://github.com/user-attachments/assets/e4ca3156-fbb8-4ed5-bede-093050466bf5)
John: "John Wu is an Assistant Astronomer at Space Telescope Science Institute (STScI) who primarily studies…
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Subscribe to this issue and stay notified about new [daily trending repos in Jupyter Notebook](https://github.com/trending/jupyter-notebook?since=daily).
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- Abstract (2-3 lines)
Simulation-based inference is a technique that uses normalizing flows, GANs, and variational inference to perform likelihood-free Bayesian machine learning. SBI has applicat…
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Given that GCNs are becoming quite popular, I think it would be a very nice contribution if more model interpretability frameworks were incorporated into pytorch_geometric, such as SHAP, or modules th…
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According to what I have been able to review of the article and the source code, you did not perform training of the C3D neural network. I would like to know where I find the model files in the C3D di…
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- SysML 2019
- https://www.sysml.cc/doc/2019/71.pdf
billion scale なグラフだと、 float32 x 128 次元の embedding を作ったらそれだけで 100 GB 単位のメモリが必要なのでやばいが、この論文ではそういうものも disk に書き出しつつ学習する方法を提案している。
グラフ使ってなんかするの、夢あ…
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## Trying out Squeeze and Excitation.
Looks really good.
Code: https://github.com/tensorflow/minigo/pull/673 (Brian would be nice for you to take a look)
Inspirations:
* https://arxiv.org/abs/…
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In [dl4m.bib](https://github.com/ybayle/awesome-deep-learning-music/blob/master/dl4m.bib):
- [ ] 2 missing pdf: [Bharucha1988](https://github.com/ybayle/awesome-deep-learning-music/blob/master/dl4m.b…
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Hi @lascavana! Thanks for the interesting work.
I am trying to reproduce results from your paper. I generated instances for the following tasks:
- combinatorial_auction_n_items_100_n_bids_500
- m…