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Pinned

  1. Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

    Python 7.1k 1.7k

  2. Solve ODEs fast, with support for PyMC

    Jupyter Notebook 66 8

  3. covadapt Public

    Low rank adaptation of covariance matrices for nuts sampling in pymc3

    Jupyter Notebook 14 2

  4. Python wrapper for nuts-rs

    Jupyter Notebook 20 2

  5. Bayesian models to compute performance and uncertainty of returns and alpha.

    Python 88 48

  6. fastq-rs Public

    Rust 30 7

232 contributions in the last year

Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Mon Wed Fri

Contribution activity

October 2022

Created 1 repository

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…

+25 −12 1 comment
Opened 1 other pull request in 1 repository
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 =

2 comments
Started 1 discussion in 1 repository
aesara-devs/aesara

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