☆51Mar 24, 2023Updated 3 years ago
Alternatives and similar repositories for group-influence-release
Users that are interested in group-influence-release 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 a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆344Oct 29, 2023Updated 2 years ago
- ☆13Feb 24, 2020Updated 6 years ago
- ☆64Apr 25, 2020Updated 5 years ago
- ☆65Jan 13, 2022Updated 4 years ago
- ☆16Apr 14, 2021Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆81Oct 3, 2024Updated last year
- A simple Jax implementation of influence functions.☆20Apr 9, 2024Updated last year
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆43Nov 10, 2022Updated 3 years ago
- A simple and efficient baseline for data attribution☆11Nov 10, 2023Updated 2 years ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆87Feb 27, 2024Updated 2 years ago
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆39Dec 27, 2022Updated 3 years ago
- Implementation of Influence Function approximations for differently sized ML models, using PyTorch☆16Sep 15, 2023Updated 2 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30May 1, 2024Updated last year
- Source code for the Joint Shapley values: a measure of joint feature importance☆12Sep 14, 2021Updated 4 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Code accompanying the paper "Understanding Bias in Word Embeddings"☆22Dec 8, 2022Updated 3 years ago
- Connecting Interpretability and Robustness in Decision Trees through Separation☆17May 8, 2021Updated 4 years ago
- Code for the paper "Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction" …☆12Sep 6, 2023Updated 2 years ago
- The code of paper "Adversarial Label-Flipping Attack and Defense for Graph Neural Networks" (ICDM 2020)☆18Mar 19, 2021Updated 5 years ago
- Research prototype of deletion efficient k-means algorithms☆24Dec 19, 2019Updated 6 years ago
- code release for Representer point Selection for Explaining Deep Neural Network in NeurIPS 2018☆67Sep 13, 2021Updated 4 years ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Mar 3, 2020Updated 6 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Nov 10, 2020Updated 5 years ago
- ☆27Dec 15, 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.
- ☆18Dec 4, 2021Updated 4 years ago
- ☆31Oct 7, 2021Updated 4 years ago
- ☆18Mar 1, 2022Updated 4 years ago
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆144Feb 11, 2026Updated last month
- Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature☆187Jun 24, 2025Updated 9 months ago
- A modular evaluation metrics and a benchmark for large-scale federated learning☆12Jul 25, 2024Updated last year
- Regularization, Neural Network Training Dynamics☆14Jan 13, 2020Updated 6 years ago
- Influence Estimation for Gradient-Boosted Decision Trees☆29May 27, 2024Updated last year
- ☆14Apr 8, 2021Updated 4 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.
- A toolkit for quantitative evaluation of data attribution methods.☆58Jul 14, 2025Updated 8 months ago
- Code for "On the Trade-off between Adversarial and Backdoor Robustness" (NIPS 2020)☆17Nov 11, 2020Updated 5 years ago
- ☆62Jun 8, 2021Updated 4 years ago
- `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.☆118Mar 13, 2026Updated 2 weeks ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆12Jan 10, 2023Updated 3 years ago
- ☆32May 24, 2023Updated 2 years ago
- A simple PyTorch implementation of influence functions.☆92Jun 17, 2024Updated last year