Name | Version | Summary | date |
gsplat |
0.1.10 |
Python package for differentiable rasterization of gaussians |
2024-04-02 14:29:08 |
gaussianfft |
1.1.2 |
A fast library for simulating Gaussian Random Fields, using the fast Fourier transform |
2024-03-12 15:23:09 |
fitspy |
2024.4 |
Fitspy: a generic tool to fit spectra in python |
2024-02-27 13:15:51 |
pynkowski |
1.1.0 |
A Python package to compute Minkowski Functionals of input fields, as well as their expected values in the case of Gaussian isotropic fields. |
2024-02-20 16:42:51 |
mixturemapping |
0.5.4 |
|
2024-01-09 16:30:10 |
laserbeamsize |
2.0.4 |
ISO 11146 Calculation of Laser Beam Center, Diameter, and M² |
2023-10-24 16:31:21 |
gaussianrunner |
1.0.34 |
A script to run Gaussian automatically. |
2023-09-08 17:17:47 |
fasma |
0.0.1 |
Analyzer for computational chemistry outputs |
2023-08-18 22:51:16 |
galore |
0.9.0 |
Broadening and weighting for simulated spectra |
2023-08-14 17:34:54 |
pymatgen-db |
2023.7.18 |
Pymatgen-db is a database add-on for the Python Materials Genomics (pymatgen) materials analysis library. |
2023-07-18 14:47:18 |
EDAspy |
1.1.1 |
EDAspy is a Python package that implements Estimation of Distribution Algorithms. EDAspy allows toeither use already existing implementations or customize the EDAs baseline easily building it bymodules so new research can be easily developed. It also has several benchmarks for comparisons. |
2023-06-28 09:36:34 |
turbine-design |
1.1.0 |
A data driven tool for turbine aerodynamic design |
2023-06-02 04:06:46 |
pybbn |
3.2.3 |
Learning and Inference in Bayesian Belief Networks |
2023-02-01 01:02:57 |
pyUdK |
0.0.7 |
Computes Udwadia–Kalaba constraint forces of an equation of motion of a constrained mechanical system. |
2023-01-27 02:23:27 |
pyUdk |
0.0.4 |
Computes Udwadia–Kalaba constraint forces of an equation of motion of a constrained mechanical system. |
2023-01-21 18:04:01 |
stochpro |
0.0.1 |
Sampling from stochastic processes. |
2022-12-16 22:39:34 |
gauss-binomial-statdist |
0.0.3 |
Code to enable the use of the gaussian and the binomial distributions |
2022-12-05 10:15:10 |
pynm |
1.0.1 |
('Python implementation of Normative Modelling', 'with GAMLSS, Gaussian Processes, LOESS & Centiles approaches.') |
2022-12-04 21:10:40 |
PeakUtils |
1.3.4 |
Peak detection utilities for 1D data |
2022-08-05 13:19:15 |
resultsFile |
2.4 |
Module for reading output files of quantum chemistry codes. |
2022-02-17 15:02:43 |