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1. NumPy
2. Pandas
3. Scipy
4. matplotlib
5. Patsy
6. Sympy
7. Plotly
8. statsmodels
9. ADiPy
10. matalg27
11. mplstyler
12. Scikit-image
13. Scikit-learn
14. Gnuplot.py
15. NetworkX
1…
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Post a reading of your own that uses deep learning for social science analysis and understanding, with a focus on deep reinforcement learning, deep agent based models, or related topics.
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## Template for bug reports
* JASP version:
* OS name and version:
* Analysis:
* Steps to reproduce:
## Template for enhancement requests
* Enhancement:
* Purpose:
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Hi @max-little
Do we have a roadmap for the package?
I believe that a documentation page with some additional educational materials and literature references would be a great next step towards …
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Currently FoodOn has "food chilling process" but no explicit class for "food (refrigerated)" , being an output of that process applied to food material. Likewise there is no "food (unrefrigerated)". …
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We need to develop (and maintain) a good base image for SDS 2.0 guest VMs, which will be used for GPU enabled VMs which AI research experts will be able access in private and be root on.
This card is…
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Hi @neuronflow ,
Thank you for sharing the implementation of the blob loss.
I was wondering if the method could be applied on compound losses, such as DICE+CE. In addition, does the current code…
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* https://www.mdpi.com/1999-5903/11/8/170 - Artificial Intelligence Implementations on the Blockchain. Use Cases and Future Applications
* https://arxiv.org/pdf/2305.08604.pdf - A Survey of Blockchai…
afomi updated
1 month ago
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Hi Marc,
Would you have any insight or intuition as to why the results with auto-sklearn are typically an order of magnitude better than say Auto-gluon?
Thanks
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Comment below with questions or thoughts about the reading for [this week's workshop](https://github.com/uchicago-computation-workshop/Winter2020/tree/master/01-09_Boudourides).
Please make your co…