serre-lab / LensLinks
LENS Project
☆51Updated last year
Alternatives and similar repositories for Lens
Users that are interested in Lens are comparing it to the libraries listed below
Sorting:
- 👋 Aligning Human & Machine Vision using explainability☆53Updated 2 years ago
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆71Updated 2 years ago
- 👋 Overcomplete is a Vision-based SAE Toolbox☆110Updated 3 weeks ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆139Updated last year
- ☆16Updated 7 months ago
- Dataset and code for the CLEVR-XAI dataset.☆33Updated 2 years ago
- [NeurIPS 2024] Code for the paper: B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable.☆38Updated 2 months ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆40Updated last year
- Python package for extracting representations from state-of-the-art computer vision models☆176Updated last month
- Official PyTorch implementation of improved B-cos models☆55Updated 3 months ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models", our NeurIPS 2023 paper "Learning to Receive Help", and our ICML 2025 pa…☆71Updated 2 months ago
- Code for the NeurIPS 2023 paper "Spatial-frequency channels, shape bias, and adversarial robustness"☆12Updated 2 years ago
- Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.☆53Updated last year
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆239Updated 4 months ago
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆89Updated last year
- 👋 Influenciae is a Tensorflow Toolbox for Influence Functions☆64Updated last year
- ViT Prisma is a mechanistic interpretability library for Vision and Video Transformers (ViTs).☆327Updated 5 months ago
- Temporal Neural Networks☆21Updated 4 months ago
- Natural Language Descriptions of Deep Visual Features, ICLR 2022☆65Updated 2 years ago
- Code for the paper "Contrastive Learning Inverts the Data Generating Process".☆91Updated last year
- ☆21Updated last year
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆33Updated 2 years ago
- Uncertainty-aware representation learning (URL) benchmark☆105Updated 9 months ago
- Some methods for comparing network representations in deep learning and neuroscience.☆141Updated last year
- Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?☆40Updated 3 years ago
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet☆32Updated 2 years ago
- ☆25Updated 2 years ago
- Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers☆100Updated 9 months ago
- [NeurIPS 23' Oral] Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity☆27Updated last year
- Improving neural network representations using human similarity judgments☆13Updated last year