Official code repository for ∇-Prox: Differentiable Proximal Algorithm Modeling for Large-Scale Optimization (SIGGRAPH TOG 2023)

PyTorch implementation of Proximal Gradient Algorithms a la Parikh and Boyd (2014). Useful for Auto-Sizing (Murray and Chiang 2015, Murray et al. 2019).

First-order optimization tools

A fast and flexible Python package for efficiently solving lasso, elastic net, group lasso, and group elastic net problems.

Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling

Opensource proximal hyperspectral image dataset of crops and weeds for deep learning.

Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent (NeurIPS 2022)

Inference of Differential Gene Regulatory Networks Based on Gene Expression and Genetic Perturbation data.