cleanlab / label-errors
🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet
☆182Updated last year
Related projects ⓘ
Alternatives and complementary repositories for label-errors
- A benchmark of data-centric tasks from across the machine learning lifecycle.☆72Updated 2 years ago
- Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)☆219Updated 2 years ago
- REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets --- https://arxiv.org/abs/2004.07999☆111Updated 2 years ago
- Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using co…☆323Updated last year
- PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)☆101Updated 2 years ago
- ☆134Updated last year
- ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."☆116Updated last year
- Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)☆336Updated 3 months ago
- The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…☆76Updated 2 years ago
- ☆187Updated 2 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆155Updated 10 months ago
- A new test set for ImageNet☆242Updated last year
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…☆52Updated 2 years ago
- ImageNet-R(endition) and DeepAugment (ICCV 2021)☆255Updated 3 years ago
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆142Updated last year
- ☆466Updated 3 months ago
- Train ImageNet *fast* in 500 lines of code with FFCV☆136Updated 6 months ago
- MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)☆108Updated 2 years ago
- Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"☆175Updated 4 months ago
- ☆96Updated 2 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆76Updated last year
- ☆103Updated last year
- Labels and other data for the paper "Are we done with ImageNet?"☆185Updated 2 years ago
- An active learning library for Pytorch based on Lightning-Fabric.☆79Updated 6 months ago
- Pytorch library for model calibration metrics and visualizations as well as recalibration methods. In progress!☆68Updated 6 months ago
- FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.☆203Updated last year
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆180Updated 3 years ago
- ☆22Updated last year
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆80Updated 3 weeks ago