deel-ai / influenciaeLinks
👋 Influenciae is a Tensorflow Toolbox for Influence Functions
☆64Updated last year
Alternatives and similar repositories for influenciae
Users that are interested in influenciae are comparing it to the libraries listed below
Sorting:
- Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers☆100Updated 9 months ago
- Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.☆60Updated last week
- ☆38Updated 2 months ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆39Updated last year
- 👋 Xplique is a Neural Networks Explainability Toolbox☆722Updated this week
- New implementations of old orthogonal layers unlock large scale training.☆23Updated 2 months ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆252Updated last year
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆634Updated 4 months ago
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆140Updated 3 months ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆238Updated 4 months ago
- 👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)☆32Updated 3 years ago
- A toolkit for quantitative evaluation of data attribution methods.☆54Updated 4 months ago
- 🪄 Interpreto is an interpretability toolbox for LLMs☆71Updated last week
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆139Updated last year
- 👋 Overcomplete is a Vision-based SAE Toolbox☆106Updated last week
- ☆16Updated 7 months ago
- LENS Project☆51Updated last year
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆358Updated last week
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- [NeurIPS 2024] CoSy is an automatic evaluation framework for textual explanations of neurons.☆18Updated 5 months ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆255Updated 2 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆162Updated 3 years ago
- Dataset and code for the CLEVR-XAI dataset.☆33Updated 2 years ago
- A fairness library in PyTorch.☆32Updated last year
- 🐟 CODS - Conformal Object Detection and Segmentation☆19Updated 2 weeks ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.☆18Updated 2 years ago
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆267Updated 2 months ago
- scikit-activeml: A Comprehensive and User-friendly Active Learning Library☆180Updated last week
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆151Updated 3 years ago