deel-ai / oodeelLinks
Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.
β60Updated last week
Alternatives and similar repositories for oodeel
Users that are interested in oodeel are comparing it to the libraries listed below
Sorting:
- π Influenciae is a Tensorflow Toolbox for Influence Functionsβ64Updated last year
- Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layersβ100Updated 9 months ago
- β38Updated 2 months ago
- New implementations of old orthogonal layers unlock large scale training.β23Updated 2 months ago
- π Xplique is a Neural Networks Explainability Toolboxβ722Updated this week
- MetaQuantus is an XAI performance tool to identify reliable evaluation metricsβ39Updated last year
- π CODS - Conformal Object Detection and Segmentationβ19Updated 2 weeks ago
- Open-source framework for uncertainty and deep learning models in PyTorchβ456Updated last month
- π Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)β32Updated 3 years ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximizationβ139Updated last year
- πͺ Interpreto is an interpretability toolbox for LLMsβ71Updated last week
- Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see htβ¦β37Updated last month
- π Overcomplete is a Vision-based SAE Toolboxβ106Updated last week
- π½ Out-of-Distribution Detection with PyTorchβ330Updated 2 months ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.β238Updated 4 months ago
- Reliability diagrams visualize whether a classifier model needs calibrationβ162Updated 3 years ago
- β16Updated 7 months ago
- Official PyTorch implementation of improved B-cos modelsβ55Updated 2 months ago
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a β¦β369Updated last year
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertaintyβ145Updated 2 years ago
- A toolkit for quantitative evaluation of data attribution methods.β54Updated 5 months ago
- π Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)β71Updated 2 years ago
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanationsβ634Updated 4 months ago
- NumPy library for calibration metricsβ73Updated 2 months ago
- Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.β15Updated last year
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true claβ¦β255Updated 2 years ago
- FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.β210Updated 2 years ago
- LENS Projectβ51Updated last year
- β13Updated 2 years ago
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.β100Updated 3 years ago