deel-ai / orthogoniumLinks
New implementations of old orthogonal layers unlock large scale training.
☆23Updated 2 months ago
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☆64Updated last year
- Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.☆60Updated last month
- Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers☆100Updated 8 months ago
- ☆38Updated 2 months ago
- Certified robustness of deep neural networks☆19Updated last year
- Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see ht…☆35Updated 3 weeks ago
- 👋 Overcomplete is a Vision-based SAE Toolbox☆101Updated 2 weeks ago
- 🪄 Interpreto is an interpretability toolbox for LLMs☆61Updated last week
- ☆16Updated 6 months ago
- LENS Project☆51Updated last year
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆39Updated last year
- ☆12Updated 3 years ago
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆70Updated 2 years ago
- Python package to accelerate research on generalized out-of-distribution (OOD) detection.☆14Updated last year
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆138Updated last year
- 👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)☆31Updated 3 years ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆235Updated 3 months ago
- 🐟 CODS - Conformal Object Detection and Segmentation☆19Updated 3 weeks ago
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆348Updated last year
- (ICML 2023) Feature learning in deep classifiers through Intermediate Neural Collapse: Accompanying code☆15Updated 2 years ago
- Certified robustness "for free" using off-the-shelf diffusion models and classifiers☆44Updated 2 years ago
- Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning)…☆278Updated this week
- Pytorch code for experiments on Linear Transformers☆23Updated last year
- Repository for PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits, accepted at CVPR 2024 XAI4CV Works…☆19Updated last year
- 👋 Xplique is a Neural Networks Explainability Toolbox☆718Updated last week
- [NeurIPS 2023] and [ICLR 2024] for robustness certification.☆10Updated 11 months ago
- A simple PyTorch implementation of influence functions.☆91Updated last year
- Source Code of the ROAD benchmark for feature attribution methods (ICML22)☆24Updated 2 years ago
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆753Updated 7 months ago
- [NeurIPS 2025 MechInterp Workshop - Spotlight] Official implementation of the paper "RelP: Faithful and Efficient Circuit Discovery in La…☆17Updated 2 weeks ago