Ecosyste.ms: Packages
An open API service providing package, version and dependency metadata of many open source software ecosystems and registries.
pypi.org : bristol
Parallel random matrix tools and random matrix theory deep learning applications. Generate matrices from Circular Unitary Ensemble (CUE), Circular Ortogonal Ensemble (COE) and Circular Symplectic Ensemble (CSE). Additional spectral analysis utilities are also implemented, such as computation of spectral density and spectral ergodicity for complexity of deep learning architectures.
Registry
-
Source
- Documentation
- JSON
purl: pkg:pypi/bristol
Keywords: circular-ensembles, complexity-analysis, complexity-measure, deep-learning, deep-learning-complexity, deep-learning-papers, ergodicity, machine-learning-algorithms, neural-architecture-search, random-matrices, random-matrix-theory, spin-glass, statistical-mechanics
License: GPL-3.0
Latest release: about 1 year ago
First release: about 7 years ago
Dependent repositories: 2
Downloads: 79 last month
Stars: 31 on GitHub
Forks: 12 on GitHub
Total Commits: 88
Committers: 4
Average commits per author: 22.0
Development Distribution Score (DDS): 0.489
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Last synced: 15 days ago