GitHub / gnthibault / Optimisation-Python
A set of notebooks related to convex optimization, variational inference and numerical methods for signal processing, machine learning, deep learning, graph analysis, bayesian programming, statistics or astronomy.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gnthibault%2FOptimisation-Python
Stars: 28
Forks: 11
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 614 MB
Dependencies parsed at: Pending
Created at: almost 10 years ago
Updated at: about 1 month ago
Pushed at: about 1 month ago
Last synced at: about 1 month ago
Topics: bayesian-statistics, convex-optimization, deep-learning, graph-algorithms, graph-clustering, graph-convolutional-networks, machine-learning, normalizing-flows, proximal-algorithms, signal-processing, variational-autoencoder, variational-inference