dmarx/dmarx-github-stars huggingface dataset:
Repository: hila-chefer/Transformer-MM-Explainability
Description: [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
Language: Jupyter Notebook
Topics: clip, detr, explainability, explainable-ai, interpretability, lxmert, transformer, transformers, visualbert, visualization, vqa
Repository: vturrisi/solo-learn
Description: solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
Language: Python
Topics: barlow-twins, byol, contrastive-learning, deepcluster, dino, mae, masked-input-prediction, moco, nnclr, nvidia-dali, pytorch, pytorch-lightning, ressl, self-supervised-learning, simclr, simsiam, swav, transformer-models, vibcreg, vicreg