| Name | Version | Summary | date |
| teneva-bm |
0.9.1 |
Benchmarks library, based on the package teneva, for testing multivariate approximation and optimization methods |
2024-12-13 13:49:17 |
| interpax |
0.3.4 |
Interpolation and function approximation with JAX |
2024-10-28 01:48:56 |
| Splipy |
1.8.2 |
Spline modelling library for Python |
2024-02-06 21:32:23 |
| numtxt |
1.3.0 |
gives full and approximate written forms of numbers |
2024-01-20 13:39:45 |
| fpcross |
0.5.5 |
Solver in the low-rank tensor-train format with cross approximation approach for solution of the multidimensional Fokker-Planck equation |
2023-10-24 15:27:20 |
| teneva |
0.14.8 |
Compact implementation of basic operations in the tensor-train (TT) format, including TT-SVD, TT-ALS, TT-ANOVA, TT-CROSS, TT-truncate for approximation of multidimensional arrays and multivariate functions |
2023-10-17 08:26:02 |
| ttopt |
0.6.2 |
Multivariate function optimizer based on the tensor train approach. |
2023-07-27 20:14:25 |
| pyalslib |
1.1.4 |
Python implementation of the Catalog-based Aig-rewriting Approximate Logic Synthesis approximation technique |
2023-07-14 21:47:24 |
| teneva-jax |
0.1.1 |
Compact implementation of basic operations in the tensor-train (TT) format with jax framework for approximation, optimization and sampling with multidimensional arrays and multivariate functions |
2023-04-24 20:58:22 |
| teneva-ht-jax |
0.1.2 |
Compact implementation of basic operations in the Hierarchical Tucker (HT) format for approximation and sampling from multidimensional arrays and multivariate functions |
2023-04-21 10:48:27 |