pip install libKMCUDA==6.2.3
Accelerated K-means and K-nn on GPU
SourceAmong top 50% packages on PyPI.
Over 1.8K downloads in the last 90 days.
libKMCUDA
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
A Fast SVM Library on GPUs and CPUs |
|
3D space positioning and motion |
|
John Zelles graphics.py package, for use with the textbook "Python Programming: An Introduction to Computer Science" |
|
A CVXPY extension for difference of convex programs. |
|
GCC v7 binaries |
|
Modular Optimisation tools for soliving inverse problems. |
|
T-Digest data structure |
|
Python wrappers around Cell-Tree 2D spatial index |
|
A tool for bayesian parameter estimation and model selection |
|
Lightweight coordinate-only trajectory reader based on code from GROMACS, MDAnalysis, VMD. |
|
Treat SQLite tables as recarrays |
|
A library for running shell pipelines using shell-like syntax |
|
Utility for processing CF metadata |
|
Catchment Modelling Framework - A hydrological modelling toolkit |
|
Execute SQL code against data contained in one or more comma-separated-value (CSV) files. |
|
A Statistical Parameter Optimization Tool |
|
Python package for earth-observing satellite data processing |
|
blake2 hash function module for python |
|
PyVTK - tools for manipulating VTK files in Python |
libKMCUDA
Proportion of downloaded versions in the last 3 months (only versions over 1%).
6.2.3 |
17.66% |
6.2.1 |
9.47% |
6.2.0 |
7.01% |
6.1.0 |
6.95% |
6.0.0 |
6.61% |
6.2.2 |
4.93% |
3.0.0 |
3.76% |
5.1.0 |
3.76% |
2.0.0 |
3.76% |
1.0.2 |
3.70% |
4.0.2 |
3.70% |
4.1.0 |
3.64% |
4.0.3 |
3.64% |
4.0.4 |
3.64% |
5.0.0 |
3.64% |
4.0.0 |
3.59% |
1.0.0 |
3.59% |
4.0.1 |
3.53% |
1.0.1 |
3.42% |