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Constrained optimization for Pytorch using the SQP-GS algorithm
Deep Learning optimization experiments in Pytorch
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
A Python package for General Graphical Lasso computation
Convex optimization modeling in Lean 4
A Github Action that posts a summary of all changes within the poetry.lock file to a pull request
Robust Bond Portfolio Construction via Convex-Concave Saddle Point Optimization
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
Portfolio Optimization with Cumulative Prospect Theory Utility via Convex Optimization
Minimal entropic value at risk (EVaR) portfolio construction under a Gaussian mixture model of returns.
ARMA cell: a modular and effective approach for neural autoregressive modeling
DoubleML - Double Machine Learning in Python
A Python-embedded modeling language for convex optimization problems.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity