deel-ai / oodeelLinks
Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.
☆58Updated this week
Alternatives and similar repositories for oodeel
Users that are interested in oodeel are comparing it to the libraries listed below
Sorting:
- 👋 Influenciae is a Tensorflow Toolbox for Influence Functions☆63Updated last year
- Documentation☆23Updated this week
- New implementations of old orthogonal layers unlock large scale training.☆17Updated this week
- Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see ht…☆31Updated last week
- Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers☆96Updated 3 months ago
- ☆37Updated 3 weeks ago
- 🐟 CODS - Conformal Object Detection and Segmentation☆14Updated last week
- 👋 Overcomplete is a Vision-based SAE Toolbox☆63Updated 3 months ago
- 👋 Xplique is a Neural Networks Explainability Toolbox☆689Updated 8 months ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆35Updated last year
- ☆13Updated 2 years ago
- Conformal prediction for uncertainty quantification in image segmentation☆23Updated 6 months ago
- 👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)☆30Updated 2 years ago
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆65Updated last year
- ☆11Updated last month
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆333Updated 2 weeks ago
- LENS Project☆48Updated last year
- 👽 Out-of-Distribution Detection with PyTorch☆295Updated this week
- Reliability diagrams visualize whether a classifier model needs calibration☆152Updated 3 years ago
- Open-source framework for uncertainty and deep learning models in PyTorch☆405Updated last week
- A toolkit for quantitative evaluation of data attribution methods.☆48Updated this week
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆142Updated 2 years ago
- ☆13Updated last month
- ☆18Updated last year
- Launching and monitoring Slurm experiments in Python☆18Updated 3 weeks ago
- Uncertainty-aware representation learning (URL) benchmark☆105Updated 3 months ago
- CoSy: Evaluating Textual Explanations☆16Updated 5 months ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆212Updated 2 years ago
- NumPy library for calibration metrics☆73Updated 4 months ago
- Official PyTorch implementation of improved B-cos models☆50Updated last year