Projects in Awesome Lists tagged with noisy-data

https://github.com/weijiaheng/Advances-in-Label-Noise-Learning

A curated (most recent) list of resources for Learning with Noisy Labels

conference deep-learning deep-neural-networks international-conference label-noise learning-with-label-noise learning-with-noisy-labels noisy-data noisy-label-learning noisy-labels paper robust-learning robust-machine-learning robustness unreliable-labels weakly-supervised-learning

Last synced: 04 Apr 2025

https://github.com/wvangansbeke/sparse-depth-completion

Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]

computer-vision deep-learning depth-completion depth-prediction kitti lidar noisy-data pytorch sensor-fusion

Last synced: 05 Apr 2025

https://github.com/google/mentornet

Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks

deep-learning google label noisy noisy-data

Last synced: 08 May 2025

https://github.com/mcosovic/factorgraph.jl

The FactorGraph package provides the set of different functions to perform inference over the factor graph with continuous or discrete random variables using the belief propagation algorithm.

aging-model belief-propagation dynamical-systems factor-graph fast-algorithm forward-backward-algorithm gaussian-distribution ill-conditioned inference-algorithms julia kahan-summation linear-systems loopy-belief-propagation message-passing noisy-data random-variables state-estimation sum-product tree-graph

Last synced: 21 Mar 2025

https://github.com/mcosovic/FactorGraph.jl

The FactorGraph package provides the set of different functions to perform inference over the factor graph with continuous or discrete random variables using the belief propagation algorithm.

aging-model belief-propagation dynamical-systems factor-graph fast-algorithm forward-backward-algorithm gaussian-distribution ill-conditioned inference-algorithms julia kahan-summation linear-systems loopy-belief-propagation message-passing noisy-data random-variables state-estimation sum-product tree-graph