deel-ai / deel-torchlip
Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see https://github.com/deel-ai/deel-lip
β27Updated this week
Alternatives and similar repositories for deel-torchlip:
Users that are interested in deel-torchlip are comparing it to the libraries listed below
- Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layersβ91Updated last week
- π Influenciae is a Tensorflow Toolbox for Influence Functionsβ58Updated 10 months ago
- Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.β55Updated last week
- Conformal prediction for uncertainty quantification in image segmentationβ20Updated 2 months ago
- β27Updated 10 months ago
- π Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)β27Updated 2 years ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metricsβ33Updated 10 months ago
- LENS Projectβ46Updated 11 months ago
- β13Updated 2 years ago
- Code for Spectral Norm of Convolutional Layers with Circular and Zero Paddings and Efficient Bound of Lipschitz Constant for Convolutionaβ¦β14Updated last year
- π Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)β61Updated last year
- [NeurIPS 2023] and [ICLR 2024] for robustness certification.β9Updated 2 months ago
- Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images withβ¦β55Updated last year
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.β209Updated 7 months ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)β31Updated this week
- β38Updated 9 months ago
- Sketched matrix decompositions for PyTorchβ69Updated 3 weeks ago
- Official PyTorch implementation of improved B-cos modelsβ45Updated 11 months ago
- Source Code of the ROAD benchmark for feature attribution methods (ICML22)β20Updated last year
- A utility to be able to launch jobs on JZ with reasonable defaultsβ19Updated last year
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNetβ30Updated last year
- β12Updated 2 years ago
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Containerβ33Updated last year
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.β125Updated last year
- IVON optimizer for neural networks based on variational learning.β59Updated 3 months ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lilleβ85Updated this week
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computationβ116Updated this week
- Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.β19Updated last year
- Laplace approximations for Deep Learning.β496Updated 2 weeks ago