serre-lab / HarmonizationLinks
π Aligning Human & Machine Vision using explainability
β54Updated 2 years ago
Alternatives and similar repositories for Harmonization
Users that are interested in Harmonization are comparing it to the libraries listed below
Sorting:
- LENS Projectβ51Updated last year
- Python package for extracting representations from state-of-the-art computer vision modelsβ176Updated last month
- A framework for evaluating models on their alignment to brain and behavioral measurements (100+ benchmarks)β164Updated last week
- π Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)β71Updated 2 years ago
- β89Updated 2 weeks ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximizationβ140Updated last year
- Repository for VOneNet modelsβ120Updated 11 months ago
- Official PyTorch implementation of improved B-cos modelsβ55Updated this week
- Code from the paper "Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Scorβ¦β16Updated 3 years ago
- Feature extraction, dimensionality reduction, model benchmarking.β34Updated last year
- β32Updated 2 years ago
- π Overcomplete is a Vision-based SAE Toolboxβ111Updated 3 weeks ago
- Code for the NeurIPS 2023 paper "Spatial-frequency channels, shape bias, and adversarial robustness"β12Updated 2 years ago
- β21Updated last year
- Some methods for comparing network representations in deep learning and neuroscience.β142Updated last year
- [NeurIPS 2024] Code for the paper: B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable.β38Updated 2 months ago
- ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networksβ35Updated 2 years ago
- [Algonauts 2023] PyTorch implementation of "Memory Encoding Model"β59Updated 2 years ago
- β23Updated 3 years ago
- Trained encoding models to generate in silico neural responses for arbitrary stimuli.β36Updated this week
- Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)β358Updated 8 months ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.β239Updated 5 months ago
- Topographic Deep Artificial Neural Networksβ56Updated 2 months ago
- Code for the deep neural network modeling of a large-scale fMRI dataset.β31Updated 8 months ago
- β13Updated 5 months ago
- [TMLR 2023] V1T: Large-scale mouse V1 response prediction using a Vision Transformerβ23Updated 2 months ago
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Containerβ33Updated 2 years ago
- β16Updated 2 years ago
- Visual Concept Connectomeβ15Updated last year
- Uncertainty-aware representation learning (URL) benchmarkβ105Updated 9 months ago