chr5tphr / zennit
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
☆202Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for zennit
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆118Updated 5 months ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆30Updated 7 months ago
- A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).☆127Updated 3 years ago
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆78Updated 2 years ago
- CoRelAy is a tool to compose small-scale (single-machine) analysis pipelines.☆27Updated 2 years ago
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆558Updated last week
- ☆10Updated last year
- Layer-Wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆100Updated last week
- Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.☆19Updated 10 months ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆196Updated 2 years ago
- ViRelAy is a visualization tool for the analysis of data as generated by CoRelAy.☆27Updated last week
- Python package for extracting representations from state-of-the-art computer vision models☆157Updated 2 months ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆232Updated 3 months ago
- Dataset and code for the CLEVR-XAI dataset.☆28Updated last year
- ☆117Updated 2 years ago
- Pytorch implementation of various neural network interpretability methods☆111Updated 2 years ago
- implements some LRP rules to get explanations for Resnets and Densenet-121, including batchnorm-Conv canonization and tensorbiased layers…☆24Updated 8 months ago
- reference implementation for "explanations can be manipulated and geometry is to blame"☆35Updated 2 years ago
- Basic LRP implementation in PyTorch☆166Updated 3 months ago
- Optimal Transport Dataset Distance☆156Updated 2 years ago
- Detect model's attention☆155Updated 4 years ago
- 👋 Aligning Human & Machine Vision using explainability☆47Updated last year
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆129Updated last year
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆32Updated last year
- Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curv…☆13Updated 2 years ago
- Data Augmentation with Variational Autoencoders (TPAMI)☆136Updated 2 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆143Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆86Updated last year
- CoSy: Evaluating Textual Explanations☆14Updated last month
- Open-source framework for uncertainty and deep learning models in PyTorch☆305Updated this week