| Name | Version | Summary | date |
| monte-library |
0.2.0 |
monte-library is a set of Monte Carlo methods in Python. The package is written to be flexible, clear to understand and encompass variety of Monte Carlo methods. |
2024-09-18 01:55:30 |
| Py-BOBYQA |
1.5.0 |
A flexible derivative-free solver for (bound constrained) general objective minimization |
2024-09-16 03:52:32 |
| ast_monitor |
0.5.2 |
AST-Monitor is a wearable Raspberry Pi computer for cyclists |
2024-09-14 12:07:56 |
| optschedule |
1.0.0 |
Flexible parameter scheduler that can be implemented with proprietary and open source optimizers and algorithms. |
2024-09-12 23:22:16 |
| CompNeuroPy |
1.0.4 |
General package for computational neuroscience with ANNarchy. |
2024-09-11 06:52:50 |
| invrs-utils |
1.4.0 |
Miscellaneous utilities for the invrs-io ecosystem |
2024-09-10 20:05:36 |
| triton-model-navigator |
0.12.0 |
Triton Model Navigator: An inference toolkit for optimizing and deploying machine learning models and pipelines on the Triton Inference Server and PyTriton. |
2024-09-10 13:08:57 |
| curvefit-gd |
1.3.0 |
A gradient descent optimizer that helps fitting multivariate nonlinear curves to data |
2024-09-08 22:07:35 |
| cyipopt |
1.5.0 |
A Cython wrapper to the IPOPT optimization package |
2024-09-08 12:29:47 |
| nonlinear-curve-fitter |
1.2.0 |
A gradient descent optimizer that helps fitting multivariate nonlinear curves to data |
2024-09-06 23:35:51 |
| iesopt |
1.1.0 |
IESopt -- an Integrated Energy System Optimization framework. |
2024-09-06 14:11:48 |
| tracepy |
0.2.0 |
Optical design software for python. |
2024-09-03 01:25:19 |
| insideopt-united |
0.0.3 |
InsideOpt Seeker Linux 311 Distribution |
2024-09-01 19:03:06 |
| QuantileRegression |
0.1.4 |
QuantileRegression package based on SciPy optimization routines. |
2024-08-26 20:49:44 |
| cvxRiskOpt |
0.2.0 |
Risk-Based Optimization tool using CVXPY and CVXPYgen |
2024-08-24 21:52:49 |
| pyatf |
0.0.8 |
Auto-Tuning Framework (ATF) is a generic, general-purpose auto-tuning approach for programs whose tuning parameters may be constrained |
2024-08-20 15:38:45 |
| investos |
0.5.5 |
Reliable backtesting and portfolio optimization for investors who want to focus on generating alpha |
2024-08-16 22:15:42 |
| mlos-viz |
0.6.1 |
Visualization Python interface for benchmark automation and optimization results. |
2024-08-16 18:15:54 |
| mlos-core |
0.6.1 |
MLOS Core Python interface for parameter optimization. |
2024-08-16 18:15:53 |
| mlos-bench |
0.6.1 |
MLOS Bench Python interface for benchmark automation and optimization. |
2024-08-16 18:15:52 |