cgnorthcutt / cleanlab
Official cleanlab repo is at https://github.com/cleanlab/cleanlab
☆57Updated 2 years ago
Alternatives and similar repositories for cleanlab:
Users that are interested in cleanlab are comparing it to the libraries listed below
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆149Updated 2 years ago
- An active learning library for Pytorch based on Lightning-Fabric.☆79Updated 11 months ago
- A benchmark of data-centric tasks from across the machine learning lifecycle.☆72Updated 2 years ago
- Weakly Supervised End-to-End Learning (NeurIPS 2021)☆156Updated 2 years ago
- Self-training with Weak Supervision (NAACL 2021)☆160Updated last year
- An implementation of the BADGE batch active learning algorithm.☆206Updated 10 months ago
- Combating hidden stratification with GEORGE☆63Updated 3 years ago
- Domain Adaptation☆23Updated 3 years ago
- Efficiently search and mine for specific (targeted) classes/slices in your dataset to improve model performance and personalize your mode…☆19Updated last year
- Reusable BatchBALD implementation☆79Updated last year
- SPEAR: Programmatically label and build training data quickly.☆106Updated 10 months ago
- Advances in Neural Information Processing Systems (NeurIPS 2021)☆22Updated 2 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆31Updated 3 years ago
- Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."☆134Updated 3 years ago
- Awesome Active Learning Paper List☆141Updated last year
- A curated list of programmatic weak supervision papers and resources☆190Updated 2 years ago
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…☆53Updated 3 years ago
- 🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet☆183Updated 2 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆295Updated last year
- Active and Sample-Efficient Model Evaluation☆24Updated 4 years ago
- Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…☆203Updated 5 years ago
- A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Pe…☆75Updated 2 years ago
- ☆58Updated 3 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆160Updated last year
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆136Updated 9 months ago
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆92Updated 6 months ago
- NumPy library for calibration metrics☆71Updated 2 months ago
- ☆37Updated last year
- Measuring data importance over ML pipelines using the Shapley value.☆38Updated 2 months ago
- Framework for zero-shot learning with knowledge graphs.☆113Updated 2 years ago