deel-ai / orthogoniumLinks
New implementations of old orthogonal layers unlock large scale training.
☆17Updated this week
Alternatives and similar repositories for orthogonium
Users that are interested in orthogonium are comparing it to the libraries listed below
Sorting:
- 👋 Influenciae is a Tensorflow Toolbox for Influence Functions☆63Updated last year
- Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.☆58Updated this week
- Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers☆96Updated 3 months ago
- Documentation☆23Updated this week
- Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see ht…☆31Updated last week
- ☆37Updated 3 weeks ago
- 👋 Overcomplete is a Vision-based SAE Toolbox☆63Updated 3 months ago
- ☆11Updated last month
- LENS Project☆48Updated last year
- 🐟 CODS - Conformal Object Detection and Segmentation☆14Updated this week
- [NeurIPS 2023] and [ICLR 2024] for robustness certification.☆10Updated 6 months ago
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆65Updated last year
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆35Updated last year
- 👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)☆30Updated 2 years ago
- ☆13Updated last month
- ☆13Updated 2 years ago
- [NeurIPS 2024] CoSy is an automatic evaluation framework for textual explanations of neurons.☆16Updated last week
- Conformal prediction for uncertainty quantification in image segmentation☆23Updated 6 months ago
- 👋 Aligning Human & Machine Vision using explainability☆52Updated last year
- Code for Spectral Norm of Convolutional Layers with Circular and Zero Paddings and Efficient Bound of Lipschitz Constant for Convolutiona…☆14Updated last year
- Source Code of the ROAD benchmark for feature attribution methods (ICML22)☆22Updated 2 years ago
- Certified robustness of deep neural networks☆19Updated 10 months ago
- Repository for PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits, accepted at CVPR 2024 XAI4CV Works…☆15Updated last year
- A toolkit for quantitative evaluation of data attribution methods.☆48Updated this week
- 👋 Xplique is a Neural Networks Explainability Toolbox☆689Updated 8 months ago
- ☆12Updated 3 years ago
- Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.☆45Updated 7 months ago
- Making your benchmark of optimization algorithms simple and open☆262Updated this week
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆227Updated 11 months ago
- (AAAI 2024) GradTree: Gradient-Based Axis-Aligned Decision Trees☆28Updated 4 months ago