| Name | Version | Summary | date |
| teneva-bm |
0.9.0 |
Benchmarks library, based on the package teneva, for testing multivariate approximation and optimization methods |
2024-04-22 12:47:39 |
| s3prl |
0.4.15 |
Self-Supervised Speech Pre-training and Representation Learning Toolkit |
2024-03-18 13:38:07 |
| langtest |
2.0.0 |
John Snow Labs provides a library for delivering safe & effective NLP models. |
2024-02-21 16:19:20 |
| decaylanguage |
0.18.1 |
A language to describe, manipulate and convert particle decays |
2023-12-21 13:05:27 |
| protes |
0.3.6 |
Method PROTES (PRobabilistic Optimizer with TEnsor Sampling) for derivative-free optimization of the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) format |
2023-12-10 18:02:58 |
| nirtorch |
1.0 |
Neuromorphic Intermediate Representation |
2023-12-06 14:32:04 |
| pypsatopo |
0.11.0 |
PyPSATopo is a tool that allows generating the topographical representation of any arbitrary PyPSA-based network |
2023-11-28 10:32:15 |
| binaryrepr |
0.18 |
binaryrep utility to display position of the bits for a number. |
2023-11-19 20:58:01 |
| matrepr |
1.0.0 |
Format matrices and tensors to HTML, string, and LaTeX, with Jupyter integration. |
2023-10-26 04:58:26 |
| 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 |
| aisfx |
0.1.2 |
Representation Learning for the Automatic Indexing of Sound Effects Libraries (ISMIR 2022): Deep audio embeddings pre-trained on UCS & Non-UCS-compliant datasets. |
2023-06-21 02:24:15 |
| nlptest |
1.5.0 |
John Snow Labs provides a library for delivering safe & effective NLP models. |
2023-06-16 12:53:33 |
| 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 |
| rmnn |
0.0.2 |
A small package for represent tensors or matrix with neural network based on Pytorch |
2023-03-27 00:49:33 |
| paprica |
0.0.1 |
APR-based image processing pipeline for microscopy data |
2023-02-01 10:49:48 |
| zope.filerepresentation |
6.0 |
File-system Representation Interfaces |
2023-01-14 09:23:55 |