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trieste_stopping

Stopping rules for Bayesian optimization using Trieste

truncated-mvn-sampler

Reimplementation using Python of the minimax tilting algorithm by Botev (2016) for simulation and iid sampling of the truncated multivariate normal distribution.

tsdl

The Time Series Data Library (TSDL) was created by Rob Hyndman, Professor of Statistics at Monash University, Australia.

tullio.jl

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turb-seg-res

Official Implementation of the CVPR 2024 Paper: "Turb-Seg-Res: A Segment-then-Restore Pipeline for Dynamic Videos with Atmospheric Turbulence"

turbo

turbo-based-eccnet

This is for paper "Error Correction Coding for One-Bit Quantization with CNN-Based AutoEncoder"

tutorim

tvar_ffg

Time-varying autoregressive models in Forney-Style Factor Graphs

tvminimization

solve TV minimization using Bregman algorithm

twirls

The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".

uncertainty-project

Companion code for the paper "Theoretical characterization of uncertainty in high-dimensional linear classification"

unique_fac_of_low_rank

univtg

[ICCV2023] UniVTG: Towards Unified Video-Language Temporal Grounding

unlabeled-compressed-sensing

The Matlab code of the unlabeled compressed sensing (UCS) algorithm

unrolledamp

unrolled_fedlrn

Federated Learning for MR Image Recon

unrolling_meets_data_driven_regularization

Contains python scripts for adversarially learning an iteratively unrolled reconstruction together with a data-driven regularizer for inverse problems.

uq_high_dim_learning

vae-bss

Unsupervised blind source separation of mixed images and sounds with variational auto-encoders.

vae-dehalogenases

VAE for dehalogenase enzymes

vae-tensorflow

Implementation of a Variational Auto-Encoder in TensorFlow

vaen

A deep generative neural network based approach to impute drug response

vampyre

Approximate Message Passing in Python

vanbayes

vasp_jl

Implement of VASP

vdamp

The Variable Density Approximate Message Passing Algorithm for Fourier sampled images

vecsbm

Code repository for the paper "VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates"

viabel

Efficient, lightweight variational inference and approximation bounds

videocc-data

VideoCC is a dataset containing (video-URL, caption) pairs for training video-text machine learning models. It is created using an automatic pipeline starting from the Conceptual Captions Image-Captioning Dataset.