pyreadstat
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public |
read SAS, SPSS and STATA files into pandas data frames
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2025-08-30 |
r-modelbased
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public |
Implements a general interface for model-based estimations for a wide variety of models (see list of supported models using the function 'insight::supported_models()'), used in the computation of marginal means, contrast analysis and predictions.
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2025-08-30 |
publicsuffixlist
|
public |
publicsuffixlist implement
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2025-08-30 |
mo_pack
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public |
Python wrapper to libmo_unpack
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2025-08-30 |
libhomfly
|
public |
Library to compute the homfly polynomial of a link.
|
2025-08-30 |
pari
|
public |
PARI/GP is a widely used computer algebra system designed for fast computations in number theory
|
2025-08-30 |
kepderiv
|
public |
Keplerian modeling and derivatives for radial velocities and astrometry analyses.
|
2025-08-30 |
cutde
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public |
130 million TDEs per second, Python + CUDA TDEs from Nikkhoo and Walter 2015
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2025-08-30 |
uharfbuzz
|
public |
Streamlined Cython bindings for the harfbuzz shaping engine
|
2025-08-30 |
mathics3
|
public |
A general-purpose computer algebra system.
|
2025-08-30 |
pymc-extras
|
public |
A home for new additions to PyMC, which may include unusual probability distribitions, advanced model fitting algorithms, or any code that may be inappropriate to include in the pymc repository, but may want to be made available to users.
|
2025-08-30 |
oxlint
|
public |
Linter for oxc
|
2025-08-30 |
technical
|
public |
Different indicators developed or collected for the Freqtrade
|
2025-08-30 |
python-flint
|
public |
Python bindings for Flint and Arb
|
2025-08-30 |
lsst-sphgeom
|
public |
A spherical geometry library.
|
2025-08-30 |
meshpy
|
public |
Triangular and Tetrahedral Mesh Generator
|
2025-08-30 |
cythonbiogeme
|
public |
C++ part of the Biogeme package
|
2025-08-30 |
r-tmle
|
public |
Targeted maximum likelihood estimation of point treatment effects (Targeted Maximum Likelihood Learning, The International Journal of Biostatistics, 2(1), 2006. This version automatically estimates the additive treatment effect among the treated (ATT) and among the controls (ATC). The tmle() function calculates the adjusted marginal difference in mean outcome associated with a binary point treatment, for continuous or binary outcomes. Relative risk and odds ratio estimates are also reported for binary outcomes. Missingness in the outcome is allowed, but not in treatment assignment or baseline covariate values. The population mean is calculated when there is missingness, and no variation in the treatment assignment. The tmleMSM() function estimates the parameters of a marginal structural model for a binary point treatment effect. Effect estimation stratified by a binary mediating variable is also available. An ID argument can be used to identify repeated measures. Default settings call 'SuperLearner' to estimate the Q and g portions of the likelihood, unless values or a user-supplied regression function are passed in as arguments.
|
2025-08-30 |
fpsample
|
public |
Python efficient farthest point sampling (FPS) library
|
2025-08-30 |
polyagamma
|
public |
Efficiently generate samples from the Polya-Gamma distribution using a NumPy/SciPy compatible interface.
|
2025-08-30 |
levenshtein
|
public |
Python extension for computing string edit distances and similarities.
|
2025-08-30 |
librealsense
|
public |
Cross-platform library for Intel® RealSense™ depth and tracking cameras.
|
2025-08-30 |
pyrealsense2
|
public |
Cross-platform library for Intel® RealSense™ depth and tracking cameras.
|
2025-08-30 |
ambit
|
public |
J. Turney's C++ library for the implementation of tensor product calculations
|
2025-08-30 |
pyambit
|
public |
J. Turney's C++ library for the implementation of tensor product calculations
|
2025-08-30 |