cgnorthcutt / cleanlabLinks
Official cleanlab repo is at https://github.com/cleanlab/cleanlab
☆58Updated 2 years ago
Alternatives and similar repositories for cleanlab
Users that are interested in cleanlab are comparing it to the libraries listed below
Sorting:
- Weakly Supervised End-to-End Learning (NeurIPS 2021)☆156Updated 2 years ago
- ☆40Updated 2 years ago
- Self-training with Weak Supervision (NAACL 2021)☆163Updated 2 years ago
- Code repository for the NAACL 2022 paper "ExSum: From Local Explanations to Model Understanding"☆64Updated 3 years ago
- 🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet☆186Updated 2 weeks ago
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆154Updated 2 years ago
- ☆140Updated 2 years ago
- A benchmark of data-centric tasks from across the machine learning lifecycle.☆72Updated 3 years ago
- Repository for Multimodal AutoML Benchmark☆66Updated 4 years ago
- Framework for zero-shot learning with knowledge graphs.☆113Updated 2 years ago
- Domain Adaptation☆23Updated 4 years ago
- An active learning library for Pytorch based on Lightning-Fabric.☆79Updated last year
- A curated list of programmatic weak supervision papers and resources☆189Updated 2 years ago
- SPEAR: Programmatically label and build training data quickly.☆109Updated last year
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆107Updated last year
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆30Updated 4 years ago
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆44Updated last month
- Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)☆237Updated 3 years ago
- Measuring data importance over ML pipelines using the Shapley value.☆43Updated 4 months ago
- A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently…☆108Updated last year
- Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."☆132Updated 4 years ago
- A deep learning framework for building multimodal multi-task learning systems.☆112Updated 2 years ago
- ☆110Updated 2 years ago
- Combating hidden stratification with GEORGE☆64Updated 4 years ago
- ☆18Updated 3 years ago
- ☆32Updated 4 years ago
- Advances in Neural Information Processing Systems (NeurIPS 2021)☆22Updated 3 years ago
- Revisiting Pretrarining Objectives for Tabular Deep Learning☆65Updated 3 years ago
- A python package for benchmarking interpretability techniques on Transformers.☆214Updated last year
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 5 years ago