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aesara-devs / aesara

Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.

Home Page:https://aesara.readthedocs.io

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Full NumPy coverage

rlouf opened this issue · comments

commented

Discrepancies
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  1. Replace aesara.tensor.sub by aesara.tensor.subtract #1423
    NumPy compatibility good first issue
  2. Replace sqr for square #1422
    NumPy compatibility good first issue
  3. Use power instead of pow for element-wise operator #1421
    NumPy compatibility
  4. Use absolute instead of abs #1420
    NumPy compatibility good first issue
  5. The behavior of aeasara.tensor.clip should be consistent with numpy.clip #1290
    NumPy compatibility enhancement help wanted
  6. The naming of the division Ops is inconsistent with NumPy's #1212
    NumPy compatibility enhancement good first issue help wanted refactor
  7. Implement aesara.tensor.matmul #488
    NumPy compatibility good first issue help wanted
    zoj613

Distributions
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  1. Add standard_cauchy, standard_gamma, standard_t and standard_exponential RandomVariable #1358
    NumPy compatibility Op implementation enhancement good first issue help wanted random variables
  2. Add noncentral_f RandomVariable #1357
    NumPy compatibility Op implementation enhancement good first issue help wanted random variables
  3. Add noncentral_chisquare RandomVariable #1356
    NumPy compatibility Op implementation enhancement help wanted random variables
  4. Add multivariate_hypergeometric RandomVariable #1355
    NumPy compatibility Op implementation enhancement good first issue help wanted random variables
  5. Add permuted RandomVariable #1354
    NumPy compatibility Op implementation enhancement good first issue help wanted random variables
  6. Add random RandomVariable #1353
    NumPy compatibility Op implementation enhancement good first issue help wanted random variables
  7. Add power RandomVariable #1352
    NumPy compatibility Op implementation enhancement good first issue help wanted random variables
  8. Add Rayleigh RandomVariable #1351
    NumPy compatibility Op implementation enhancement good first issue help wanted random variables
  9. Add Zipf RandomVariable #1350
    NumPy compatibility Op implementation enhancement good first issue help wanted random variables
  10. Add logseries RandomVariable #1349
    NumPy compatibility Op implementation enhancement good first issue help wanted random variables
  11. Add f RandomVariable #1348
    NumPy compatibility Op implementation enhancement good first issue help wanted random variables

Missing operators
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  1. Implement einsum equivalent #937
    NumPy compatibility
  2. Generalize linalg.cholesky beyond 2D arrays #791
    NumPy compatibility enhancement help wanted
  3. Implement missing ufunc.outer functions for binary ops #612
    NumPy compatibility enhancement
  4. Numpy lexsort equivalent #585
    NumPy compatibility Op implementation enhancement
  5. Implement equivalent numpy median and quantile / percentile #525
    NumPy compatibility good first issue help wanted
  6. Implement aesara.tensor.matmul #488
    NumPy compatibility good first issue help wanted
    zoj613