deel-ai / influenciaeLinks
π Influenciae is a Tensorflow Toolbox for Influence Functions
β64Updated 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 layersβ100Updated 7 months ago
- Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.β60Updated last month
- β38Updated last month
- π Xplique is a Neural Networks Explainability Toolboxβ703Updated last year
- MetaQuantus is an XAI performance tool to identify reliable evaluation metricsβ39Updated last year
- New implementations of old orthogonal layers unlock large scale training.β23Updated last month
- OpenXAI : Towards a Transparent Evaluation of Model Explanationsβ248Updated last year
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanationsβ627Updated 3 months ago
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computationβ138Updated last month
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true claβ¦β250Updated 2 years ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.β233Updated 3 months ago
- π Puncc is a python library for predictive uncertainty quantification using conformal prediction.β350Updated 4 months ago
- Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see htβ¦β34Updated 2 weeks ago
- π Overcomplete is a Vision-based SAE Toolboxβ96Updated 3 months ago
- πͺ Interpreto is an interpretability toolbox for LLMsβ55Updated last week
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithmsβ294Updated 2 years ago
- π Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)β30Updated 3 years ago
- A fairness library in PyTorch.β32Updated last year
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximizationβ136Updated last year
- Training and evaluating NBM and SPAM for interpretable machine learning.β78Updated 2 years ago
- Reliability diagrams visualize whether a classifier model needs calibrationβ159Updated 3 years ago
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.β17Updated 2 years ago
- For calculating Shapley values via linear regression.β71Updated 4 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer viβ¦β71Updated 2 years ago
- LENS Projectβ50Updated last year
- Influence Estimation for Gradient-Boosted Decision Treesβ30Updated last year
- Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.β78Updated last week
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.β432Updated 2 weeks ago
- Inference code for "TabDPT: Scaling Tabular Foundation Models on Real Data"β60Updated 2 weeks ago
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty iβ¦β266Updated last month