deel-ai / deel-lip
Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers
β94Updated 2 weeks ago
Alternatives and similar repositories for deel-lip:
Users that are interested in deel-lip are comparing it to the libraries listed below
- π Influenciae is a Tensorflow Toolbox for Influence Functionsβ61Updated 11 months ago
- Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.β56Updated 3 weeks ago
- Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see htβ¦β29Updated last month
- β28Updated 11 months ago
- π Overcomplete is a Vision-based SAE Toolboxβ43Updated this week
- π Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)β28Updated 2 years ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metricsβ34Updated 11 months ago
- π Puncc is a python library for predictive uncertainty quantification using conformal prediction.β316Updated 2 months ago
- HCOMP '22 -- Eliciting and Learning with Soft Labels from Every Annotatorβ10Updated 2 years ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true claβ¦β236Updated 2 years ago
- β13Updated 2 years ago
- π Xplique is a Neural Networks Explainability Toolboxβ675Updated 5 months ago
- β10Updated 4 months ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer viβ¦β64Updated 2 years ago
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.β17Updated last year
- LENS Projectβ47Updated last year
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotligβ¦β146Updated 2 years ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lilleβ86Updated last month
- Conformal prediction for uncertainty quantification in image segmentationβ22Updated 3 months ago
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computationβ117Updated 2 weeks ago
- Bayesianize: A Bayesian neural network wrapper in pytorchβ88Updated 10 months ago
- Making your benchmark of optimization algorithms simple and openβ260Updated 3 months ago
- Large-scale uncertainty benchmark in deep learning.β55Updated 2 months ago
- π Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)β62Updated last year
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.β77Updated last year
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)β34Updated 3 weeks ago
- Bayesian active learning with EPIG data acquisitionβ28Updated last month
- Influence Estimation for Gradient-Boosted Decision Treesβ26Updated 10 months ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Controlβ66Updated 4 months ago
- Last-layer Laplace approximation code examplesβ83Updated 3 years ago