| Name | Version | Summary | date |
| pdfo |
2.2.0 |
Powell's Derivative-Free Optimization solvers |
2024-06-03 19:03:08 |
| sophus-pyo3 |
0.6.1 |
sophus - geometry for robotics and computer vision |
2024-06-03 01:37:32 |
| clarabel |
0.9.0 |
Clarabel Conic Interior Point Solver for Rust / Python |
2024-06-01 17:00:57 |
| trustregion |
1.2.1 |
Trust-region subproblem solvers for nonlinear/nonconvex optimization |
2024-05-31 02:16:57 |
| palimpzest |
0.2.0 |
Palimpzest is a system which enables anyone to process AI-powered analytical queries simply by defining them in a declarative language |
2024-05-30 03:03:32 |
| optframe |
5.1.0 |
Python bindings for OptFrame Functional Core |
2024-05-26 15:40:46 |
| shogunfolio |
0.1.0 |
Portfolio optimization built on top of scikit-learn |
2024-05-25 17:55:11 |
| pyHAMS |
1.3.0 |
Python module wrapping around HAMS |
2024-05-24 05:41:26 |
| deepfusion |
0.0.3 |
DeepFusion is a highly modular and customizable deep learning framework! |
2024-05-23 09:42:49 |
| niapy |
2.3.1 |
Python micro framework for building nature-inspired algorithms. |
2024-05-17 08:31:40 |
| smartboiler |
1.1.0.1 |
Smart boiling of household |
2024-05-14 18:28:15 |
| dynamic-moops |
0.0.1.dev0 |
A mathematical implementation of dynamic MOO problems for a practical problem typically involving conflicting objectives. |
2024-05-14 18:19:35 |
| g2opy |
0.0.9 |
g2o for python |
2024-05-12 04:40:03 |
| pycutest |
1.7.0 |
A Python wrapper to the CUTEst optimization test environment |
2024-05-07 09:29:03 |
| WISDEM-pyFrame3DD |
1.1.1 |
Python bindings to Frame3DD, a code for static and dynamic structural analysis of 2D and 3D frames and trusses, with permission from Prof Henri Gavin |
2024-05-01 22:14:24 |
| mlswarm |
0.33 |
This package trains neural networks using swarm-like optimization algorithms |
2024-04-30 15:17:14 |
| graph-theory |
2023.7.7 |
A graph library |
2024-04-29 21:42:04 |
| Al-HaQ |
0.1.1 |
A fight for truth. A better democracy. |
2024-04-28 16:21:09 |
| fastbench |
0.1.5 |
A pure-python based benchmarking package for Python 🤪 |
2024-04-28 04:26:15 |
| error-parity |
0.3.11 |
Achieve error-rate parity between protected groups for any predictor |
2024-04-26 09:42:56 |