| async | 0.6.1 | Async Framework | Mar 25, 2025 | New BSD License |
| ctypedbytes | 0.1.8 | A fast Python module for dealing with so called "typed bytes". | Mar 25, 2025 | Apache Software License (ASF) |
| cvxpy | 0.4.9 | — | Mar 25, 2025 | — |
| cyflann | 0.2.3 | A Cython interface to FLANN | Mar 25, 2025 | BSD-3-Clause |
| hsfuap | 0.1.0dev2014.10.23.15.17 | — | Mar 25, 2025 | BSD License |
| keytree | 0.2.1 | KML utilities for the ElementTree API | Mar 25, 2025 | BSD License |
| mmd | 0.2.6 | Some utilities for dealing with the maximum mean discrepancy (MMD) and related tools | Mar 25, 2025 | BSD-3 |
| numdifftools | 0.6.0 | Solves automatic numerical differentiation problems in one or more variables. | Mar 25, 2025 | BSD License |
| progressbar | 0.2.3 | https://github.com/dougalsutherland/vlfeat-ctypes | Mar 25, 2025 | BSD License |
| py-sdm | 0.1.0dev | https://github.com/dougalsutherland/py-sdm | Mar 25, 2025 | BSD License |
| pyflann | 1.9.1 | Python wrapper for FLANN | Mar 25, 2025 | BSD 3-Clause |
| pyuv | 0.10.11 | Python interface for libuv | Mar 25, 2025 | MIT License |
| r-huge | 1.2.6 | The package "huge" provides a general framework for high-dimensional undirected graph estimation. It integrates data preprocessing, neighborhood screening, graph estimation, and model selection techniques into a pipeline. In preprocessing stage, the nonparanormal(npn) transformation is applied to help relax the normality assumption. In the graph estimation stage, the graph structure is estimated by Meinshausen-Buhlmann graph estimation or the graphical lasso, and both methods can be further accelerated by the lossy screening rule preselecting the neighborhood of each variable by correlation thresholding. We target on high-dimensional data analysis usually d >> n, and the computation is memory-optimized using the sparse matrix output. We also provide a computationally efficient approach, correlation thresholding graph estimation. Three regularization/thresholding parameter selection methods are included in this package: (1)stability approach for regularization selection (2) rotation information criterion (3) extended Bayesian information criterion which is only available for the graphical lasso. | Mar 25, 2025 | GPL-2 |
| r-kernlab | 0.9_25 | — | Mar 25, 2025 | — |
| r-r.matlab | 3.2.0 | Methods readMat() and writeMat() for reading and writing MAT files. For user with MATLAB v6 or newer installed (either locally or on a remote host), the package also provides methods for controlling MATLAB (trademark) via R and sending and retrieving data between R and MATLAB. | Mar 25, 2025 | LGPL (>= 2.1) |
| scs | 1.2.6 | — | Mar 25, 2025 | — |
| skl-groups | 0.1.7 | Addon to scikit-learn for handling set-based data. | Mar 25, 2025 | BSD License |
| typedbytes | 0.3.8 | A Python module for dealing with so called "typed bytes". | Mar 25, 2025 | Apache Software License (ASF) |
| versiontools | 1.9.1 | Smart replacement for plain tuple used in __version__ | Mar 25, 2025 | GNU Library or Lesser General Public License (LGPL) |
| vlfeat-ctypes | 0.1.4 | https://github.com/dougalsutherland/vlfeat-ctypes | Mar 25, 2025 | BSD License |
