cleanlab / label-errorsLinks
π οΈ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet
β186Updated 2 years ago
Alternatives and similar repositories for label-errors
Users that are interested in label-errors are comparing it to the libraries listed below
Sorting:
- Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)β237Updated 3 years ago
- β139Updated last year
- A benchmark of data-centric tasks from across the machine learning lifecycle.β72Updated 3 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 coβ¦β342Updated 2 years ago
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.β154Updated 2 years ago
- REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets --- https://arxiv.org/abs/2004.07999β110Updated 3 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"β161Updated last year
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"β184Updated 4 years ago
- Drift Detection for your PyTorch Modelsβ322Updated 3 years ago
- β471Updated 5 months ago
- PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)β109Updated 3 years ago
- Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"β188Updated last year
- β96Updated 2 years ago
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wiβ¦β54Updated 3 years ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratcβ¦β151Updated 2 years ago
- Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)β492Updated 2 years ago
- β208Updated 3 years ago
- The spiritual successor to knockknock for PyTorch Lightning, get notified when your training endsβ77Updated 10 months ago
- Code for the CVPR 2019 paper : Spectral Metric for Dataset Complexity Assessmentβ45Updated last year
- Labels and other data for the paper "Are we done with ImageNet?"β194Updated 3 years ago
- Check if you have training samples in your test setβ64Updated 3 years ago
- Calibration of Convolutional Neural Networksβ170Updated 2 years ago
- Reliability diagrams visualize whether a classifier model needs calibrationβ158Updated 3 years ago
- β96Updated 4 years ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true claβ¦β248Updated 2 years ago
- Combating hidden stratification with GEORGEβ64Updated 4 years ago
- Official cleanlab repo is at https://github.com/cleanlab/cleanlabβ58Updated 2 years ago
- An active learning library for Pytorch based on Lightning-Fabric.β79Updated last year
- Contains notebooks for the PAR tutorial at CVPR 2021.β36Updated 4 years ago
- Differentiable Sorting Networksβ117Updated 2 years ago