💱 A curated list of data valuation (DV) to design your next data marketplace
☆144Aug 14, 2026Updated last month
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:
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆103Feb 4, 2025Updated last year
- This is an official repository for "Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources" (…☆14Oct 26, 2023Updated 2 years ago
- Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)☆20Jul 26, 2023Updated 3 years ago
- A Python Data Valuation Package☆35Feb 3, 2023Updated 3 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆32May 1, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Data Valuation using Reinforcement Learning Pytorch Version☆15Jun 3, 2021Updated 5 years ago
- Data Banzhaf: A Robust Data Valuation Framework for Machine Learning (AISTATS 2023 Oral)☆18Oct 15, 2023Updated 2 years ago
- Data Shapley: Equitable Valuation of Data for Machine Learning☆300May 1, 2024Updated 2 years ago
- Papers about training data quality management for ML models.☆130Jun 13, 2026Updated 3 months ago
- ☆21Jun 27, 2026Updated 3 months ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆90Feb 27, 2024Updated 2 years ago
- [NeurIPS-2023] The PyTorch Implementation of MoSo. The algorithms are based on our paper: "Data Pruning via Moving-one-Sample-out". MoSo …☆10May 21, 2026Updated 4 months ago
- Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)☆22Oct 19, 2023Updated 2 years ago
- ☆15Mar 31, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆25May 31, 2022Updated 4 years ago
- A library for language transfer methods and algorithms.☆16Feb 6, 2026Updated 7 months ago
- A library for calibrating classifiers and computing calibration metrics☆14Nov 28, 2022Updated 3 years ago
- An amortized approach for calculating local Shapley value explanations☆107Nov 29, 2023Updated 2 years ago
- Implementation of FedBary☆18Mar 24, 2025Updated last year
- Awesome coreset/core-set/subset/sample selection works.☆184Jun 30, 2024Updated 2 years ago
- Data Valuation on In-Context Examples (ACL23)☆24Jan 12, 2025Updated last year
- Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"☆17Jan 12, 2024Updated 2 years ago
- [CVPR 2021] Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?☆34Dec 26, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature☆198May 23, 2026Updated 4 months ago
- Measuring data importance over ML pipelines using the Shapley value.☆45Aug 26, 2025Updated last year
- Efficient approximation algorithms for Shapley Values in Horizontal Enterprise Federated Learning☆13May 5, 2020Updated 6 years ago
- ☆18Updated this week
- Training-free data valuation on deep neural network applications. (ICML-2022)☆27Jul 13, 2022Updated 4 years ago
- GhostSuite (Official Codebase for "Data Shapley in One Training Run", ICLR'25)☆45Jul 5, 2026Updated 2 months ago
- 📈 scikit-learn compatible meta-learner that boosts tabular classifiers by learning from pairs of points — turns multiclass into a binary…☆23Jul 19, 2026Updated 2 months ago
- A Survey on Data Selection for Language Models☆261Apr 29, 2025Updated last year
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆131Oct 24, 2023Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selecti…☆23May 17, 2024Updated 2 years ago
- Source code for the paper "CAT: Interpretable Concept-based Taylor Additive Models".☆18Aug 26, 2024Updated 2 years ago
- Instance-Dependent Partial Label Learning(NIPS'21);Variational Label Enhancement for Instance-Dependent Partial Label Learning(TPAMI)☆28Jun 5, 2025Updated last year
- Data Optimization in Deep Learning: A Survey☆19Oct 29, 2023Updated 2 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆55May 28, 2024Updated 2 years ago
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆75Feb 14, 2022Updated 4 years ago
- A fire-tested template for production grade python libraries and packages.☆17Jul 15, 2025Updated last year