`dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.
☆126Mar 24, 2026Updated 7 months ago
Alternatives and similar repositories for dattri
Users that are interested in dattri are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- AI Logging for Interpretability and Explainability🔬☆149Jun 7, 2024Updated 2 years ago
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆83Oct 3, 2024Updated 2 years ago
- Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature☆199May 23, 2026Updated 5 months ago
- A fast, effective data attribution method for neural networks in PyTorch☆247Nov 18, 2024Updated last year
- ☆11Aug 3, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆104Feb 4, 2025Updated last year
- Code for the paper "Data Attribution for Text-to-Image Models by Unlearning Synthesized Images."☆18May 23, 2025Updated last year
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆146Apr 13, 2026Updated 6 months ago
- 🗂 Graph Learning Indexer: a contributor-friendly and metadata-rich platform for graph learning benchmarks. Dataloading, Benchmarking, Ta…☆42Mar 7, 2024Updated 2 years ago
- 💱 A curated list of data valuation (DV) to design your next data marketplace☆145Aug 14, 2026Updated 2 months ago
- [NeurIPS 2025 Spotlight] Enhancing Training Data Attribution with Representational Optimization☆13Jan 26, 2026Updated 9 months ago
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆40Dec 27, 2022Updated 3 years ago
- Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"☆27Dec 12, 2023Updated 2 years ago
- ☆66Jan 13, 2022Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- AQuA: A Benchmarking Tool for Label Quality Assessment, NeurIPS'23 D&B☆24Oct 17, 2023Updated 3 years ago
- ☆10Apr 16, 2024Updated 2 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆71Jul 17, 2026Updated 3 months ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆90Feb 27, 2024Updated 2 years ago
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆53Jun 5, 2024Updated 2 years ago
- A simple Jax implementation of influence functions.☆21Apr 9, 2024Updated 2 years ago
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆348Oct 29, 2023Updated 3 years ago
- Papers about training data quality management for ML models.☆132Jun 13, 2026Updated 4 months ago
- An implementation of online data mixing for the Pile dataset, based on the GPT-NeoX library.☆15Jan 9, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆20Dec 29, 2024Updated last year
- A Survey on Data Selection for Language Models☆261Apr 29, 2025Updated last year
- Data Banzhaf: A Robust Data Valuation Framework for Machine Learning (AISTATS 2023 Oral)☆18Oct 15, 2023Updated 3 years ago
- ☆42May 2, 2024Updated 2 years ago
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆80Nov 14, 2024Updated last year
- A Towers of Hanoi environment in OpenAI Gym Style☆14Jun 6, 2019Updated 7 years ago
- ☆45Nov 17, 2024Updated last year
- Efficient approximation algorithms for Shapley Values in Horizontal Enterprise Federated Learning☆13May 5, 2020Updated 6 years ago
- Find the samples, in the test data, on which your (generative) model makes mistakes.☆32Oct 16, 2024Updated 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.
- Mapping out the "memory" of neural nets with data attribution☆107Updated this week
- Time series data contribution via influence functions☆17Jan 18, 2025Updated last year
- Tiny Tutorial on https://arxiv.org/abs/1703.04730☆14Nov 19, 2019Updated 6 years ago
- [EMNLP'24 oral] On Training Data Influence of GPT Models☆11Jun 6, 2025Updated last year
- ☆51Mar 24, 2023Updated 3 years ago
- Large-batch Training, Neural Network Optimization☆11Nov 8, 2019Updated 6 years ago
- Code and Data for paper V-FLUTE: Visual Figurative Language Understanding with Textual Explanations☆12May 6, 2025Updated last year