aai-institute / pyDVL
pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
☆116Updated this week
Alternatives and similar repositories for pyDVL:
Users that are interested in pyDVL are comparing it to the libraries listed below
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆93Updated 2 weeks ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆62Updated 2 years ago
- 💱 A curated list of data valuation (DV) to design your next data marketplace☆115Updated 3 months ago
- For calculating Shapley values via linear regression.☆67Updated 3 years ago
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.☆17Updated last year
- 👋 Influenciae is a Tensorflow Toolbox for Influence Functions☆58Updated 10 months ago
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆138Updated 8 months ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated 9 months ago
- A repo for transfer learning with deep tabular models☆102Updated 2 years ago
- Influence Estimation for Gradient-Boosted Decision Trees☆26Updated 8 months ago
- A toolkit for quantitative evaluation of data attribution methods.☆39Updated this week
- Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)☆18Updated last year
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆40Updated 2 years ago
- ☆142Updated 10 months ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆239Updated 6 months ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆62Updated 2 years ago
- Testing Language Models for Memorization of Tabular Datasets.☆33Updated last week
- TabDPT: Scaling Tabular Foundation Models☆25Updated 2 weeks ago
- A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.☆24Updated last month
- Training and evaluating NBM and SPAM for interpretable machine learning.☆77Updated last year
- A package for conformal prediction with conditional guarantees.☆50Updated 3 weeks ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆43Updated 2 years ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆235Updated 2 years ago
- Our maintained PFN repository. Come here to train SOTA PFNs.☆61Updated 2 weeks ago
- A fast, effective data attribution method for neural networks in PyTorch☆192Updated 3 months ago
- A benchmark for distribution shift in tabular data☆50Updated 8 months ago
- An amortized approach for calculating local Shapley value explanations☆95Updated last year
- A simple PyTorch implementation of influence functions.☆84Updated 8 months ago
- Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)☆146Updated 2 years ago
- Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers☆91Updated last week