π± A curated list of data valuation (DV) to design your next data marketplace
β139Feb 20, 2025Updated last year
Alternatives and similar repositories for awesome-data-valuation
Users that are interested in awesome-data-valuation are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 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
- Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)β21Jul 26, 2023Updated 2 years ago
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).β53Jun 5, 2024Updated last year
- A Python Data Valuation Packageβ34Feb 3, 2023Updated 3 years ago
- Scalable data valuation using optimal transport (ICLR 2025)β13Jul 15, 2025Updated 8 months ago
- End-to-end encrypted email - Proton Mail β’ AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.β118Mar 13, 2026Updated 2 weeks ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)β43Nov 10, 2022Updated 3 years ago
- Data Banzhaf: A Robust Data Valuation Framework for Machine Learning (AISTATS 2023 Oral)β18Oct 15, 2023Updated 2 years ago
- Data Shapley: Equitable Valuation of Data for Machine Learningβ290May 1, 2024Updated last year
- β17Mar 23, 2025Updated last year
- pytorchβ10Apr 13, 2022Updated 3 years ago
- PyTorch reimplementation of computing Shapley values via Truncated Monte Carlo sampling from "What is your data worth? Equitable Valuatioβ¦β27Jan 21, 2022Updated 4 years ago
- [ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Networkβ21Jul 19, 2022Updated 3 years ago
- Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)β22Oct 19, 2023Updated 2 years ago
- DigitalOcean Gradient AI Platform β’ AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- β10Oct 20, 2023Updated 2 years ago
- ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"β46Oct 29, 2022Updated 3 years ago
- β15Mar 31, 2022Updated 3 years ago
- Time series data contribution via influence functionsβ17Jan 18, 2025Updated last year
- An interpretable network to compute the Shapley values in a single forward propagation.β16May 24, 2023Updated 2 years ago
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]β79Nov 14, 2024Updated last year
- A library for calibrating classifiers and computing calibration metricsβ14Nov 28, 2022Updated 3 years ago
- Towards Efficient Shapley Value Estimation via Cross-contribution Maximizationβ14Jul 8, 2022Updated 3 years ago
- Data-Centric What-If Analysis for Native Machine Learning Pipelinesβ16Jun 14, 2023Updated 2 years ago
- DigitalOcean Gradient AI Platform β’ AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A fast, effective data attribution method for neural networks in PyTorchβ233Nov 18, 2024Updated last year
- Implementation of FedBaryβ16Mar 24, 2025Updated last year
- Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"β17Jan 12, 2024Updated 2 years ago
- Awesome coreset/core-set/subset/sample selection works.β181Jun 30, 2024Updated last year
- Efficient approximation algorithms for Shapley Values in Horizontal Enterprise Federated Learningβ13May 5, 2020Updated 5 years ago
- GhostSuite (Official Codebase for "Data Shapley in One Training Run", ICLR'25)β33Jan 16, 2026Updated 2 months ago
- Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvatureβ187Jun 24, 2025Updated 9 months ago
- Training-free data valuation on deep neural network applications. (ICML-2022)β27Jul 13, 2022Updated 3 years ago
- Code for paper: βWhat Data Benefits My Classifier?β Enhancing Model Performance and Interpretability through Influence-Based Data Selectiβ¦β23May 17, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean β’ AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Source code for the paper "CAT: Interpretable Concept-based Taylor Additive Models".β18Aug 26, 2024Updated last year
- Pairwise Difference Learning (PDL) is a meta-learning framework that leverages pairwise differences to transform multiclass problems intoβ¦β22Aug 27, 2025Updated 7 months ago
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurIβ¦β26Sep 28, 2024Updated last year
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?β75Feb 14, 2022Updated 4 years ago
- Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020β64Apr 14, 2021Updated 4 years ago
- Zero-shot Pose Transfer for Unrigged Stylized 3D Characters. In CVPR2023β11Apr 29, 2024Updated last year
- Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)β154Aug 8, 2022Updated 3 years ago