GLOVEX @ UMN

PyGRANSO

PyGRANSO: A PyTorch-enabled port of GRANSO with auto-differentiation

NCVX

NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning

DMPlug

This is the official implementation of "DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models" (NeurIPS 2024).

Early_Stopping_for_DIP

Official Implementation of Early Stopping for Deep Image Prior (TMLR)

Deep-Random-Projector

Deep Random Projector: Accelerated Deep Image Prior

TTL

[BMVC'23 Oral] Offical repository of "Rethinking Transfer Learning for Medical Image Classification"

Deeplifting

This repository delves into a research field we refer to as "deeplifting". Deeplifting merges the domains of deep learning and optimization, proposing a novel approach to solve optimization problems. By using neural networks to reparameterize input spaces, we can significantly improve solutions, making them both more potent and robust.

Blind-Image-Deblurring

Blind Image Deblurring

NCVX-Neural-Structural-Optimization

federated-multi-modality-learning

A multi-modality learning system for healthcare using federated learning

Self-Validation

Self-Validation: Early Stopping for Single-Instance Deep Generative Priors

NCVX_Documentation

NCVX documentation page: https://ncvx.org

Constrained-Deep-Learning-Survey

Discover algorithms for deep learning under constraints.

Const_FL

Offical git repo for "Federated Learning with Convex Global and Local Constraints" at TMLR'2024

DMO

Official implementation of "Exact Reformulation and Optimization for Binary Imbalanced Classification"

PyGRANSO_adv_robustness

This repo provides the implementation of the min- and max- form constrained optimziation problems in our paper [paper]

sc_with_distshift