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ESG handbook:
2016
https://www.soa.org/globalassets/assets/Files/Research/Projects/research-2016-economic-scenario-generators.pdf
2020
https://www.casact.org/sites/default/files/2021-02/economic…
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Hello,
Thank you for this fantastic tool.
I ran the program, which resulted in what looks like a complete output directory. However, when I then run add_to_seurat, I get the following error.
…
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Hi Shih-En,
Thanks so much for sharing your work. I've implemented your code & it's working great, but I don't get anywhere near realtime performance using a very good GPU. How did you achieve your v…
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State space models are applied broadly across fields including computer science, statistics and engineering, using a wide array of methods for their estimation and inference. Despite the plethora of t…
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# Background
During testing of recent documentation changes, and a small readability refactor, a fatal error condition I had written surfaced. During inspection I found that the Infected layer is wil…
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We can use the truncated DP mixture approach given [in the PyMC3 examples](https://docs.pymc.io/notebooks/dp_mix.html#Dirichlet-process-mixtures) to estimate the number of mixture components.
Let's s…
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Corpus - given a corpora generate uni, bi-gram data
This data can be used in tasks like prediction of words, and correction of spelling etc.
The analysis task is captured here; take a Wikipedia, Pro…
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Hi! I've just started using this interactive book to learn about State Space models *for the first time*. I only have experience with Bayesian statistics and standard supervised learning (pretty much …
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Just wanted to say thanks for this good library, please keep updating it 👍
Can you maybe include latest recommender algorithms like time dependency matrix factorization?
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If I'm not mistaking currently bayesian Conv2d samples single kernel for all examples within a batch. In principle sampling different kernels for each of the examples could make MC estimates better. T…