1austrartsua1 Goto Github PK

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

distributedgan

Distributed training of GANs in PyTorch

distributedps

Distributed Projective Splitting using PyTorch's Distributed Package

formalconvexopt

A Formalization of Convex Optimization Solvers in the Lean Proof Assistant

kegg_ml

Incorporating KEGG pathways into ML models for Phenotype prediction

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.

opsplitting_robustml

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

proj_split_mpi

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

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

projsplit-gan

projective splitting applied to GAN training

projsplitfit

Projective Splitting for data fitting problems

pytorch-adversarial-training

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

pytorch-cyclegan-and-pix2pix-extragradopt

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

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

videomaev2

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

vision

Datasets, Transforms and Models specific to Computer Vision