pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
β145Feb 11, 2026Updated 2 months ago
Alternatives and similar repositories for pyDVL
Users that are interested in pyDVL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)β100Feb 4, 2025Updated last year
- π± A curated list of data valuation (DV) to design your next data marketplaceβ141Feb 20, 2025Updated last year
- Learning function operators with neural networks.β35Aug 22, 2024Updated last year
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)β43Nov 10, 2022Updated 3 years ago
- A library for calibrating classifiers and computing calibration metricsβ14Nov 28, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways β’ AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- The Python library for sensible AI.β75Mar 2, 2026Updated last month
- This is an official repository for "Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources" (β¦β14Oct 26, 2023Updated 2 years ago
- A library for language transfer methods and algorithms.β16Feb 6, 2026Updated 2 months ago
- Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvatureβ191Jun 24, 2025Updated 9 months ago
- Data Shapley: Equitable Valuation of Data for Machine Learningβ294May 1, 2024Updated last year
- Lightweight library for accessing data and configurationβ13Apr 16, 2025Updated last year
- Scalable data valuation using optimal transport (ICLR 2025)β13Jul 15, 2025Updated 9 months ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomyβ87Feb 27, 2024Updated 2 years ago
- Distributional Shapley: A Distributional Framework for Data Valuationβ31May 1, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial β’ AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A Python Data Valuation Packageβ35Feb 3, 2023Updated 3 years ago
- Measuring data importance over ML pipelines using the Shapley value.β45Aug 26, 2025Updated 7 months ago
- Reinforcement learning (RL) is an effective method to find reasoning pathways in incomplete knowledge graphs (KGs). To overcome the challβ¦β26Oct 13, 2024Updated last year
- Software design principles for machine learning applicationsβ380Aug 19, 2025Updated 8 months ago
- Replication data and code for "Prestige drives epistemic inequality in the diffusion of scientific ideas"β14Dec 14, 2018Updated 7 years ago
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influenceβ¦β345Oct 29, 2023Updated 2 years ago
- An fsspec implementation for the lakeFS projectβ63Jan 15, 2026Updated 3 months ago
- The official implementation of USENIX Security'23 paper "Meta-Sift" -- Ten minutes or less to find a 1000-size or larger clean subset on β¦β20Apr 27, 2023Updated 2 years ago
- Efficient approximation algorithms for Shapley Values in Horizontal Enterprise Federated Learningβ13May 5, 2020Updated 5 years ago
- Deploy open-source AI quickly and easily - Bonus Offer β’ AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- β32May 24, 2023Updated 2 years ago
- Egocentric Temporal Motifs Minerβ12Nov 9, 2021Updated 4 years ago
- β13Feb 24, 2020Updated 6 years ago
- The source code of the Sudowoodo paper in ICDE 2023β18May 24, 2023Updated 2 years ago
- Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020β64Apr 14, 2021Updated 5 years ago
- Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)β154Aug 8, 2022Updated 3 years ago
- Data Valuation without Training of a Model, submitted to ICLR'23β22Dec 30, 2022Updated 3 years ago
- Pairwise Difference Learning (PDL) is a meta-learning framework that leverages pairwise differences to transform multiclass problems intoβ¦β22Aug 27, 2025Updated 7 months ago
- Mixture of Decision Trees for Interpretable Machine Learningβ11Sep 2, 2021Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial β’ AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- β13Feb 25, 2022Updated 4 years ago
- Analysis of evidential modelsβ15Jun 22, 2023Updated 2 years ago
- A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.β25Mar 6, 2025Updated last year
- β18Mar 1, 2022Updated 4 years ago
- Achieve error-rate fairness between societal groups for any score-based classifier.β19Aug 21, 2025Updated 7 months ago
- An interpretable network to compute the Shapley values in a single forward propagation.β16May 24, 2023Updated 2 years ago
- For distributed machine learningβ30Mar 2, 2026Updated last month