Alternatives and similar repositories for attention_flow

Users that are interested in attention_flow are comparing it to the libraries listed below

• jacobgil / vit-explain
  Explainability for Vision Transformers
  ☆959Updated 3 years ago
• AntixK / PyTorch-Model-Compare
  Compare neural networks by their feature similarity
  ☆361Updated 2 years ago
• salesforce / hierarchicalContrastiveLearning
  ☆157Updated 3 years ago
• hila-chefer / Transformer-MM-Explainability
  [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decode…
  ☆851Updated last year
• young-geng / m3ae_public
  Multimodal Masked Autoencoders (M3AE): A JAX/Flax Implementation
  ☆103Updated 3 months ago
• aanna0701 / SPT_LSA_ViT
  Implementation of Visual Transformer for Small-size Datasets
  ☆124Updated 3 years ago
• Sara-Ahmed / SiT
  Self-supervised vIsion Transformer (SiT)
  ☆332Updated 2 years ago
• IntelLabs / VL-InterpreT
  Visual Language Transformer Interpreter - An interactive visualization tool for interpreting vision-language transformers
  ☆93Updated last year
• microsoft / esvit
  EsViT: Efficient self-supervised Vision Transformers
  ☆412Updated last year
• Weixin-Liang / Modality-Gap
  Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning
  ☆156Updated 2 years ago
• goel-shashank / CyCLIP
  ☆118Updated 2 years ago
• hongxin001 / logitnorm_ood
  Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization
  ☆148Updated 2 years ago
• pliang279 / MultiViz
  [ICLR 2023] MultiViz: Towards Visualizing and Understanding Multimodal Models
  ☆96Updated 9 months ago
• yhlleo / VTs-Drloc
  [NeurIPS 2021] Official codes for "Efficient Training of Visual Transformers with Small Datasets".
  ☆143Updated 5 months ago
• xxxnell / how-do-vits-work
  (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
  ☆816Updated 2 years ago
• facebookresearch / msn
  Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)
  ☆455Updated 3 years ago
• kaifishr / PyTorchRelevancePropagation
  A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.
  ☆94Updated 2 years ago
• yewsiang / ConceptBottleneck
  Concept Bottleneck Models, ICML 2020
  ☆203Updated 2 years ago
• hila-chefer / Transformer-Explainability
  [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize …
  ☆1,889Updated last year
• naver-ai / cl-vs-mim
  (ICLR 2023) Official PyTorch implementation of "What Do Self-Supervised Vision Transformers Learn?"
  ☆110Updated last year
• sayakpaul / probing-vits
  Probing the representations of Vision Transformers.
  ☆325Updated 2 years ago
• microsoft / vision-longformer
  ☆246Updated 3 years ago
• moboehle / B-cos
  B-cos Networks: Alignment is All we Need for Interpretability
  ☆109Updated last year
• Reza-Safdari / SimSiam-91.9-top1-acc-on-CIFAR10
  Pytorch implementation of the paper Exploring Simple Siamese Representation Learning.
  ☆74Updated 4 years ago
• lucidrains / bidirectional-cross-attention
  A simple cross attention that updates both the source and target in one step
  ☆171Updated last year
• chingyaoc / DCL
  NeurIPS 2020, Debiased Contrastive Learning
  ☆282Updated 2 years ago
• bethgelab / model-vs-human
  Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)
  ☆349Updated last month
• alextamkin / dabs
  A Domain-Agnostic Benchmark for Self-Supervised Learning
  ☆107Updated 2 years ago
• mlfoundations / model-soups
  Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
  ☆467Updated 10 months ago
• Separius / SimCLRv2-Pytorch
  Pretrained SimCLRv2 models in Pytorch
  ☆105Updated 4 years ago