☆275Sep 9, 2021Updated 5 years ago
Alternatives and similar repositories for attention_flow
Users that are interested in attention_flow are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Explainability for Vision Transformers☆1,098Mar 12, 2022Updated 4 years ago
- [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize …☆2,022Jan 24, 2024Updated 2 years ago
- ☆87Apr 16, 2024Updated 2 years ago
- [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decode…☆914Aug 24, 2023Updated 3 years ago
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Jun 24, 2022Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)☆2,163Jun 7, 2022Updated 4 years ago
- [XAI4CV CVPR 2023] Towards Evaluating Explanations of Vision Transformers for Medical Imaging☆10Dec 1, 2023Updated 2 years ago
- ☆475Apr 4, 2021Updated 5 years ago
- Codes and scripts for "Explainable Semantic Space by Grounding Languageto Vision with Cross-Modal Contrastive Learning"☆20Mar 23, 2022Updated 4 years ago
- [NeurIPS 2024] Official implementation of the paper "MambaLRP: Explaining Selective State Space Sequence Models" 🐍☆47Nov 6, 2024Updated last year
- ☆11Dec 23, 2021Updated 4 years ago
- ☆18Oct 6, 2022Updated 4 years ago
- This is a repository with the code for the ACL 2019 paper "Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, t…☆325Aug 2, 2021Updated 5 years ago
- A Diagnostic Study of Explainability Techniques for Text Classification☆70Oct 23, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Implementing LRP (Layer-wise Relevance Propagation) for a sequence-to-sequence model with GRU layers.☆12Sep 8, 2023Updated 3 years ago
- Official Code for Towards Transparent and Explainable Attention Models paper (ACL 2020)☆36Jun 22, 2022Updated 4 years ago
- ☆21May 16, 2024Updated 2 years ago
- [ECCV 2022] Contrastive Prototypical Network with Wasserstein Confidence Penalty☆11Oct 20, 2022Updated 4 years ago
- ☆17Jun 17, 2025Updated last year
- Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.☆1,416Aug 30, 2023Updated 3 years ago
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆256Aug 11, 2026Updated 2 months ago
- ☆15Apr 29, 2025Updated last year
- Code & Data for the paper "Learning to Deceive with Attention-Based Explanations"☆18Jan 22, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- [NAACL 2022] GlobEnc: Quantifying Global Token Attribution by Incorporating the Whole Encoder Layer in Transformers☆24May 16, 2023Updated 3 years ago
- ☆27Jun 12, 2023Updated 3 years ago
- BertViz: Visualize Attention in Transformer Models☆8,204Jan 8, 2026Updated 9 months ago
- Interpretability for sequence generation models 🐛 🔍☆477Oct 22, 2026Updated last week
- Model interpretability and understanding for PyTorch☆5,719Updated this week
- Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"☆435Sep 5, 2023Updated 3 years ago
- GNG-ODE☆10Mar 1, 2023Updated 3 years ago
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆41Sep 17, 2025Updated last year
- VisBERT: Demo web app for "How Does BERT Answer Questions?"☆11Jul 22, 2023Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Official code for "BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification"☆24Apr 11, 2024Updated 2 years ago
- Train toy models using multi-token prediction objective☆14Apr 18, 2026Updated 6 months ago
- ☆21Apr 27, 2023Updated 3 years ago
- ☆26Apr 11, 2023Updated 3 years ago
- Sparse Linear Concept Embeddings☆135Mar 27, 2025Updated last year
- InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。☆262Sep 4, 2024Updated 2 years ago
- A Visual Analysis Tool to Explore Learned Representations in Transformers Models☆605Feb 7, 2024Updated 2 years ago