The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
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Updated
Jul 8, 2024 - Python
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
The open-source tool for building high-quality datasets and computer vision models
A Doctor for your data
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
Automatically find issues in image datasets and practice data-centric computer vision.
[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark
[NeurIPS 2023] This is the code for the paper `Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias`.
pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)
Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning
[ECCV 2022] Official Implementation for Unsupervised Selective Labeling for More Effective Semi-Supervised Learning
This data-centric AI repository implements a robust deep learning method (LFBNet) for fully automated tumor segmentation in whole-body [18]F-FDG PET/CT images.
Frontiers in Neuroinformatics 2022: Local Label Point Correction for Edge Detection of Overlapping Cervical Cells
Client interface for all things Cleanlab Studio
Unsupervised classification to improve the quality of a bird song recording dataset. https://doi.org/10.1016/j.ecoinf.2022.101952
Official Python SDK for Kern AI refinery.
Enhancing Efficiency in Multidevice Federated Learning through Data Selection
🧼🔎 A holistic self-supervised data cleaning strategy to detect irrelevant samples, near duplicates and label errors.
Chat with your images using GPT-4 Vision!
Quickly set up an image labelling web application for manually tagging images for machine learning tasks.
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