Data for "Datamodels: Predicting Predictions with Training Data"
☆96May 25, 2023Updated 2 years ago
Alternatives and similar repositories for datamodels-data
Users that are interested in datamodels-data are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆32May 24, 2023Updated 2 years ago
- A fast, effective data attribution method for neural networks in PyTorch☆234Nov 18, 2024Updated last year
- ModelDiff: A Framework for Comparing Learning Algorithms☆58Aug 15, 2023Updated 2 years ago
- ☆25May 20, 2020Updated 5 years ago
- ☆12Oct 23, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆21Apr 15, 2024Updated last year
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆87Feb 27, 2024Updated 2 years ago
- ☆56Aug 14, 2020Updated 5 years ago
- ☆37Jun 10, 2021Updated 4 years ago
- Python library for argument and configuration management☆56Feb 7, 2023Updated 3 years ago
- ☆96Oct 27, 2022Updated 3 years ago
- Distilling Model Failures as Directions in Latent Space☆48Feb 8, 2023Updated 3 years ago
- ☆15Dec 7, 2021Updated 4 years ago
- ☆52Jan 24, 2024Updated 2 years ago
- 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.
- Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data☆13Sep 20, 2022Updated 3 years ago
- Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"☆17Jan 12, 2024Updated 2 years ago
- Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature☆190Jun 24, 2025Updated 9 months ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆44Sep 11, 2023Updated 2 years ago
- Decomposing and Editing Predictions by Modeling Model Computation☆139Jun 12, 2024Updated last year
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆58Apr 24, 2023Updated 2 years ago
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆39Dec 27, 2022Updated 3 years ago
- ☆39Dec 19, 2024Updated last year
- Train ImageNet *fast* in 500 lines of code with FFCV☆152May 10, 2024Updated last year
- 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.
- Official repo for the paper "Make Some Noise: Reliable and Efficient Single-Step Adversarial Training" (https://arxiv.org/abs/2202.01181)☆25Oct 17, 2022Updated 3 years ago
- ☆30Jun 19, 2023Updated 2 years ago
- ☆10Oct 20, 2023Updated 2 years ago
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆35Jul 3, 2021Updated 4 years ago
- A toolkit for quantitative evaluation of data attribution methods.☆58Updated this week
- Official PyTorch code release for Implicit Gradient Transport, NeurIPS'19☆21Jun 11, 2019Updated 6 years ago
- [NeurIPS 2022] "Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks"☆13Nov 11, 2022Updated 3 years ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆942Jan 11, 2024Updated 2 years ago
- Code to break Llama Guard☆32Dec 7, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"☆25Dec 12, 2023Updated 2 years ago
- ☆35Sep 23, 2022Updated 3 years ago
- ☆143Oct 2, 2020Updated 5 years ago
- Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.☆11Oct 20, 2020Updated 5 years ago
- Forcing Diffuse Distributions out of Language Models☆18Sep 10, 2024Updated last year
- Fine-grained ImageNet annotations☆30May 25, 2020Updated 5 years ago
- The repository contains code for Adaptive Data Optimization☆34Dec 9, 2024Updated last year