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nonlinear_sysid_for_control

normalizing-flows

npb-rec

numerics-gibbs-sampling-neural-nets

o-logn-smc-squared-on-mpi

oamp

Matlab code for Structured PCA with OAMP

obq-gan-mimo-ce

Implementation of "One-bit mmWave MIMO Channel Estimation Using Deep Generative Networks"

ocp

Open Catalyst Project's library of machine learning methods for catalysis

offline_ht

Source code for the Approximate Heavy Tails in Finite Sample Stochastic Gradient Descent paper.

ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

oikf_icassp23

onenet

One Network to Solve Them All

onestepgd_asymptotics

code for Asymptotics of feature learning in two-layer networks after one gradient-step

onlinesampling.jl

Online inference on reactive probabilistic models, with SMC and symbolic methods

online_learning

A random matrix analysis of data stream clustering

onsager_deep_learning

Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"

on_red

This repository is made to publish code used in "Regularization by Denoising: Clarifications and New Interpretations" by Reehorst, Schniter

optimal_cleaning_for_singular_values_of_cross-covariance_matrices

Python scripts from paper Optimal cleaning for singular values of cross-covariance matrices, by Florent Benaych-Georges, Jean-Philippe Bouchaud, Marc Potters (see https://arxiv.org/abs/1901.05543)

optimal_spectral_methods_pr

This repository contains the code of the paper "Construction of optimal spectral methods in phase retrieval"

oracle_vamp

Python implementation of Oracle Vector Approximate Message Passing and SE for elastic net problem

orthogonalpgd

p-vdamp

The Parallel-Variable Density Approximate Message Passing (P-VDAMP) algorithm for reconstructing multi-coil MRI data

palm

This is official code repository for "Learning with Mixture of Prototypes for Out-of-Distribution Detection", accepted at ICLR2024

paper2gui

Convert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术

parallelbayes

parametric_generalized_lasso_selective_inference

More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming

particles

Sequential Monte Carlo in python

passivedoa-isac-ris

The passive sensing method for the ISAC system with RIS

path-restore

Path-Restore: Learning Network Path Selection for Image Restoration (IEEE TPAMI, 2021)

pathfinder