Transformer-MM-Explainability
explainerdashboard
Transformer-MM-Explainability | explainerdashboard | |
---|---|---|
3 | 2 | |
709 | 2,228 | |
- | - | |
0.0 | 7.8 | |
8 months ago | 30 days ago | |
Jupyter Notebook | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Transformer-MM-Explainability
explainerdashboard
What are some alternatives?
pytorch-grad-cam - Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
deepchecks - Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
TorchDrift - Drift Detection for your PyTorch Models
WeightWatcher - The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
shap - A game theoretic approach to explain the output of any machine learning model.
clip-italian - CLIP (Contrastive LanguageāImage Pre-training) for Italian
backpack - BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
pytea - PyTea: PyTorch Tensor shape error analyzer
delve - PyTorch model training and layer saturation monitor
cockpit - Cockpit: A Practical Debugging Tool for Training Deep Neural Networks