deel-ai / oodeelLinks
Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.
β60Updated last month
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 7 months ago
- π Xplique is a Neural Networks Explainability Toolboxβ703Updated last year
- β38Updated last month
- New implementations of old orthogonal layers unlock large scale training.β23Updated last month
- MetaQuantus is an XAI performance tool to identify reliable evaluation metricsβ39Updated last year
- Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see htβ¦β34Updated last week
- π½ Out-of-Distribution Detection with PyTorchβ325Updated 3 weeks ago
- π CODS - Conformal Object Detection and Segmentationβ18Updated this week
- Open-source framework for uncertainty and deep learning models in PyTorchβ438Updated last week
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a β¦β366Updated last year
- πͺ Interpreto is an interpretability toolbox for LLMsβ55Updated last week
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximizationβ136Updated last year
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.β233Updated 3 months ago
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanationsβ627Updated 3 months ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertaintyβ145Updated 2 years ago
- Reliability diagrams visualize whether a classifier model needs calibrationβ159Updated 3 years ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true claβ¦β250Updated 2 years ago
- Official PyTorch implementation of improved B-cos modelsβ54Updated last month
- π Overcomplete is a Vision-based SAE Toolboxβ96Updated 3 months ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiationβ220Updated 3 years ago
- π Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)β30Updated 3 years ago
- π Puncc is a python library for predictive uncertainty quantification using conformal prediction.β350Updated 4 months ago
- π Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)β68Updated 2 years ago
- LENS Projectβ50Updated last year
- β13Updated 2 years ago
- [CVPRW 2024] Conformal prediction for uncertainty quantification in image segmentationβ26Updated 10 months ago
- β17Updated last year
- [ICLR2024] Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and Howβ33Updated last month
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.β98Updated 3 years ago