💱 A curated list of data valuation (DV) to design your next data marketplace
☆141Feb 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:
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆98Feb 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
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆145Feb 11, 2026Updated 2 months ago
- Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)☆21Jul 26, 2023Updated 2 years ago
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆52Jun 5, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A Python Data Valuation Package☆35Feb 3, 2023Updated 3 years ago
- Scalable data valuation using optimal transport (ICLR 2025)☆13Jul 15, 2025Updated 9 months ago
- `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.☆121Mar 24, 2026Updated 3 weeks ago
- Data Valuation using Reinforcement Learning Pytorch Version☆15Jun 3, 2021Updated 4 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆43Nov 10, 2022Updated 3 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☆293May 1, 2024Updated last year
- pytorch☆10Apr 13, 2022Updated 4 years ago
- PyTorch reimplementation of computing Shapley values via Truncated Monte Carlo sampling from "What is your data worth? Equitable Valuatio…☆28Jan 21, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆87Feb 27, 2024Updated 2 years ago
- [ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network☆21Jul 19, 2022Updated 3 years ago
- Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)☆22Oct 19, 2023Updated 2 years ago
- ☆10Oct 20, 2023Updated 2 years ago
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆81Oct 3, 2024Updated last year
- ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"☆46Oct 29, 2022Updated 3 years ago
- ☆15Mar 31, 2022Updated 4 years ago
- Time series data contribution via influence functions☆17Jan 18, 2025Updated last year
- An interpretable network to compute the Shapley values in a single forward propagation.☆16May 24, 2023Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆25May 31, 2022Updated 3 years ago
- A library for language transfer methods and algorithms.☆16Feb 6, 2026Updated 2 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☆104Nov 29, 2023Updated 2 years ago
- A fast, effective data attribution method for neural networks in PyTorch☆236Nov 18, 2024Updated last year
- Implementation of FedBary☆16Mar 24, 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
- Efficient approximation algorithms for Shapley Values in Horizontal Enterprise Federated Learning☆13May 5, 2020Updated 5 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
- 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 last year
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆128Oct 24, 2023Updated 2 years ago
- Source code for the paper "CAT: Interpretable Concept-based Taylor Additive Models".☆18Aug 26, 2024Updated last year
- Pairwise Difference Learning (PDL) is a meta-learning framework that leverages pairwise differences to transform multiclass problems into…☆22Aug 27, 2025Updated 7 months ago
- 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 last year
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆75Feb 14, 2022Updated 4 years ago