1austrartsua1

actionformer_release

Code release for ActionFormer (ECCV 2022)

bnl_misc

cycleGan-extragrad

PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal) with experimental optimizers such as extragrad

distributedPS

Distributed Projective Splitting using PyTorch's Distributed Package

FormalConvexOpt

A Formalization of Convex Optimization Solvers in the Lean Proof Assistant

proj_split_mpi

Parallel implementation of projective splitting using MPI in Python (mpi4py package)

projSplitFit

Projective Splitting for data fitting problems

subgv2

These are the experiments for the paper "Faster subgradient methods for functions with Hölderian growth", available here https://link.springer.com/content/pdf/10.1007/s10107-018-01361-0.pdf

coco

This is the Python code for running the experiments given in https://arxiv.org/pdf/1902.09025.pdf, "Single-forward-step projective splitting: Exploiting cocoercivity", Patrick R. Johnstone and Jonathan Eckstein. arXiv preprint arXiv:1902.09025 (2019).

just-continuity

Code that reproduces the results in the paper "Projective Splitting with Forward Steps only Requires Continuity", Patrick R. Johnstone and Jonathan Eckstein, https://arxiv.org/pdf/1809.07180.pdf

1austrartsua1/projSplitFit

Projective Splitting for data fitting problems

1austrartsua1/subgv2

These are the experiments for the paper "Faster subgradient methods for functions with Hölderian growth", available here https://link.springer.com/content/pdf/10.1007/s10107-018-01361-0.pdf

1austrartsua1/actionformer_release

Code release for ActionFormer (ECCV 2022)

1austrartsua1/bnl_misc

1austrartsua1/cycleGan-extragrad

PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal) with experimental optimizers such as extragrad

1austrartsua1/distributedGAN

Distributed training of GANs in PyTorch

1austrartsua1/distributedPS

Distributed Projective Splitting using PyTorch's Distributed Package

1austrartsua1/FormalConvexOpt

A Formalization of Convex Optimization Solvers in the Lean Proof Assistant

1austrartsua1/proj_split_mpi

Parallel implementation of projective splitting using MPI in Python (mpi4py package)

1austrartsua1/KEGG_ML

Incorporating KEGG pathways into ML models for Phenotype prediction

1austrartsua1/NFL_optimal_divisions

This software finds the "correct" conference assignment for the teams based on lat/long and an intuitive cost function. It uses google's OR-tools Mixed Integer Programming (MIP) solver to solve the resulting assignment problem.

1austrartsua1/opSplitting_robustML

Operator splitting methods applied to a distributionally-robust logistic regression learning problem

1austrartsua1/proj_split_pub

Projective splitting (public). This runs some of the experiments on the lasso using projective splitting which appear in: Projective Splitting with Forward Steps: Asynchronous and Block-Iterative Operator Splitting, https://arxiv.org/pdf/1803.07043.pdf

1austrartsua1/projsplit-GAN

projective splitting applied to GAN training

1austrartsua1/pytorch-adversarial-training

PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.

1austrartsua1/pytorch-CycleGAN-and-pix2pix-ExtragradOpt

Image-to-Image Translation in PyTorch with extragrad (and related) GAN optimizers

1austrartsua1/VideoMAEv2

[CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

1austrartsua1/vision

Datasets, Transforms and Models specific to Computer Vision