serre-lab / Lens
LENS Project
β47Updated last year
Alternatives and similar repositories for Lens:
Users that are interested in Lens are comparing it to the libraries listed below
- π Overcomplete is a Vision-based SAE Toolboxβ51Updated 3 weeks ago
- π Aligning Human & Machine Vision using explainabilityβ52Updated last year
- π Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)β62Updated last year
- MetaQuantus is an XAI performance tool to identify reliable evaluation metricsβ34Updated last year
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximizationβ124Updated 10 months ago
- β10Updated 5 months ago
- β11Updated this week
- Python package for extracting representations from state-of-the-art computer vision modelsβ164Updated 2 months ago
- A toolkit for quantitative evaluation of data attribution methods.β44Updated last week
- Repository for PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits, accepted at CVPR 2024 XAI4CV Worksβ¦β14Updated 10 months ago
- π Influenciae is a Tensorflow Toolbox for Influence Functionsβ62Updated last year
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.β222Updated 9 months ago
- Training and evaluating NBM and SPAM for interpretable machine learning.β78Updated 2 years ago
- Official PyTorch implementation of improved B-cos modelsβ47Updated last year
- Dataset and code for the CLEVR-XAI dataset.β31Updated last year
- Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see htβ¦β29Updated last month
- Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.β39Updated 5 months ago
- CoSy: Evaluating Textual Explanationsβ16Updated 2 months ago
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNetβ30Updated last year
- NeuroSurgeon is a package that enables researchers to uncover and manipulate subnetworks within models in Huggingface Transformersβ40Updated 2 months ago
- Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layersβ95Updated last month
- [ICLR 23 spotlight] An automatic and efficient tool to describe functionalities of individual neurons in DNNsβ48Updated last year
- β13Updated 2 years ago
- Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?β40Updated 2 years ago
- Layer-Wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]β146Updated last month
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Containerβ33Updated 2 years ago
- Replicating and dissecting the git-re-basin project in one-click-replication Colabsβ36Updated 2 years ago
- Domain adaptation toolbox compatible with scikit-learn and pytorchβ113Updated last month
- Natural Language Descriptions of Deep Visual Features, ICLR 2022β63Updated last year
- Python library for argument and configuration managementβ53Updated 2 years ago