noisy-labels topic
Co-learning
The official implementation of the ACM MM'2021 paper Co-learning: Learning from noisy labels with self-supervision.
awesome-open-data-centric-ai
Curated list of open source tooling for data-centric AI on unstructured data.
encord-active
The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.
UNICON-Noisy-Label
Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning"
cleanlab-studio
Client interface for all things Cleanlab Studio
SSR_BMVC2022
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise (BMVC2022)
MentorMix_pytorch
[MentorMix] "Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels" implemented in the PyTorch version.
Regularized-Self-Labeling
A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models
TCL
Twin Contrastive Learning with Noisy Labels (CVPR 2023)
MRL
Learning Cross-Modal Retrieval with Noisy Labels (CVPR 2021, PyTorch Code)