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pymc-labs
- Tübingen, Germany
- @aseyboldt
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pymc-devs/pymc Public
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
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quantopian/bayesalpha Public
Bayesian models to compute performance and uncertainty of returns and alpha.
232 contributions in the last year
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October 2022
Created 7 commits in 2 repositories
Created 1 repository
- aseyboldt/covadapt-paper Jupyter Notebook
Created a pull request in pymc-devs/nuts-rs that received 1 comment
Use grad init by default and introduce early mass matrix switch
This enables grad_init by default. grad_init initializes the very first mass matrix estimate using the gradient at the initial position, which impr…
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Opened 1 other pull request in 1 repository
pymc-devs/nutpie
1
open
Reviewed 2 pull requests in 2 repositories
numba/numba
1 pull request
pymc-devs/pymc
1 pull request
Created an issue in aesara-devs/aesara that received 2 comments
softmax fails in numba mode if axis is negative
Description of your problem or feature request import aesara import aesara.tensor as at import pymc as pm import numpy as np x = at.dmatrix("x") y = …
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comments
Started 1 discussion in 1 repository
aesara-devs/aesara
aesara-devs/aesara
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Static or dynamic broadcasting in aesara
This contribution was made on Oct 19




