pyprobml

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To solve https://github.com/probml/pml-book/issues/440 Tweak https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/07/gaussEvec.ipynb The exponents should be lambda^{-1/2}. I tried changing the text but the figure no longer renders properly (u_1, u_2 axis broken)

murphyk

Thin line-weight/Poor figures - Adapted from other authors

1

Fig 4.33:  9.11  10.17(a)  11.6  12.7  12.22  18.28  30.3  31.7  35.4 

karm-patel

update logreg laplace to use bijax

3

https://github.com/probml/pyprobml/blob/master/notebooks/book1/10/logreg_laplace_demo.ipynb

murphyk

reimplement Bayesian GMMs in blackjax

3

Convert this notebook from pymc to blackjax: https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/21/gmm_identifiability_pymc3.ipynb

murphyk

murphyk

explain batch BALD

1

murphyk

- currently, this notebook won't run in colab, due to requirement of high memory. - Mostly prediction loops taking much memory, we can make it batch prediction to consume less...

karm-patel

karm-patel

this is ugly because lines don't line up

murphyk

murphyk