serre-lab / Harmonization
π Aligning Human & Machine Vision using explainability
β51Updated last year
Alternatives and similar repositories for Harmonization:
Users that are interested in Harmonization are comparing it to the libraries listed below
- LENS Projectβ47Updated last year
- Python package for extracting representations from state-of-the-art computer vision modelsβ164Updated 2 months ago
- Repository for VOneNet modelsβ114Updated 2 months ago
- π Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)β62Updated last year
- β72Updated last week
- Some methods for comparing network representations in deep learning and neuroscience.β132Updated 7 months ago
- A framework for evaluating models on their alignment to brain and behavioral measurements (100+ benchmarks)β140Updated this week
- ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networksβ33Updated last year
- β27Updated last year
- [NeurIPS 23' Oral] Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsityβ26Updated 10 months ago
- Feature extraction, dimensionality reduction, model benchmarking.β32Updated 6 months ago
- Machine Learning Utils of Sinzlabβ28Updated 3 weeks ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metricsβ34Updated 11 months ago
- Code from the paper "Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Scorβ¦β16Updated 2 years ago
- Trained encoding models to generate in silico neural responses for arbitrary stimuli.β16Updated this week
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximizationβ124Updated 9 months ago
- Improving neural network representations using human similarity judgmentsβ14Updated 4 months ago
- An adapted version of the Metamer Foveation Transform code from Deza et al. ICLR 2019β14Updated 3 years ago
- FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.β206Updated last year
- β22Updated 3 years ago
- Topographic Deep Artificial Neural Networksβ51Updated 5 months ago
- Natural Language Descriptions of Deep Visual Features, ICLR 2022β62Updated last year
- Code for the NeurIPS 2023 paper "Spatial-frequency channels, shape bias, and adversarial robustness"β12Updated last year
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.β214Updated 8 months ago
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Containerβ33Updated 2 years ago
- Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)β343Updated 7 months ago
- Official implementation & data for paper "Strong and Precise Modulation of Human Percepts via Robustified ANNs" (NeurIPS 2023)β19Updated 5 months ago
- Official PyTorch implementation of improved B-cos modelsβ47Updated last year
- [NeurIPS 2024] Code for the paper: B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable.β30Updated this week