https://github.com/cdpierse/transformers-interpret

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

captum computer-vision deep-learning explainable-ai interpretability machine-learning model-explainability natural-language-processing neural-network nlp transformers transformers-model

Last synced: 15 May 2025

https://github.com/inseq-team/inseq

Interpretability for sequence generation models 🐛 🔍

attribution-methods captum deep-learning explainable-ai generative-ai huggingface interpretability language-generation language-model large-language-models natural-language-processing sequence-to-sequence transformers

Last synced: 26 Mar 2025

https://github.com/jihyeonseong/sai-board-by-streamlit

Cyber Security AI Dashboard

captum cybersecurity dashboard data-visualization lrp python security security-dataset streamlit streamlit-dashboard

Last synced: 13 Apr 2025

https://github.com/esceptico/toxic

End-to-end toxic Russian comment classification

captum convolutional-neural-networks deep-learning hydra nlp pytorch streamlit text-classification visualization

Last synced: 22 Apr 2025

https://github.com/braindatalab/xai-tris

XAI-Tris

artificial-intelligence benchmarking captum explainability explainable-ai explainable-ml innvestigate interpretability interpretable-ai interpretable-ml machine-learning python xai

Last synced: 15 Apr 2025

https://github.com/speediedan/deep_classiflie

Deep Classiflie is a framework for developing ML models that bolster fact-checking efficiency. As a POC, the initial alpha release of Deep Classiflie generates/analyzes a model that continuously classifies a single individual's statements (Donald Trump) using a single ground truth labeling source (The Washington Post). For statements the model deems most likely to be labeled falsehoods, the @DeepClassiflie twitter bot tweets out a statement analysis and model interpretation "report"

albert bokeh captum data-engineering database deep-learning disinformation fact-checking interpretability machine-learning machine-learning-analysis machine-learning-research ml ml-framework nlp pytorch research-project transformer-architecture twitter-bot umap

Last synced: 05 Apr 2025

https://github.com/k-forghani/pytorch-workshop

PyTorch Beginner Workshop (Brad Heintz)

beginner captum deep-learning pytorch tensorboard workshop

Last synced: 09 Apr 2025

https://github.com/speediedan/deep_classiflie_db

Deep_classiflie_db is the backend data system for managing Deep Classiflie metadata, analyzing Deep Classiflie intermediate datasets and orchestrating Deep Classiflie model training pipelines. Deep_classiflie_db includes data scraping modules for the initial model data sources. Deep Classiflie depends upon deep_classiflie_db for much of its analytical and dataset generation functionality but the data system is currently maintained as a separate repository here to maximize architectural flexibility. Depending on how Deep Classiflie evolves (e.g. as it supports distributed data stores etc.), it may make more sense to integrate deep_classiflie_db back into deep_classiflie. Currently, deep_classiflie_db releases are synchronized to deep_classiflie releases. To learn more, visit deepclassiflie.org.

albert bokeh captum data-engineering database deep-learning disinformation fact-checking interpretability machine-learning machine-learning-analysis machine-learning-research ml ml-framework nlp pytorch research-project transformer-architecture twitter-bot umap

Last synced: 05 Apr 2025

https://github.com/progamergov/captum-tutorials

captum deep-learning interpretability neural-style-transfer style-transfer

Last synced: 08 Apr 2025

https://github.com/yuneg11/interpretability-metrics

Interpretability Metrics

captum degradation interpretability metrics pytorch

Last synced: 09 Apr 2025

https://github.com/najdbinrabah/deep-learning-with-pytorch-and-captum

This project classifies smoking images using VGG19 with data augmentation, and Captum for model explainability, identifying key features per prediction.

binary-classification captum data-augmentation data-science deep-learning deep-neural-networks grad-cam image-classification integrated-gradients layer-attributions machine-learning occlusion primary-attributions python pytorch transfer-learning vgg19-model

Last synced: 12 Mar 2025

https://github.com/r-n/covid-forecasting-joint-learning

COVID-19 forecasting model for East Java cities using Joint Learning

captum covid-19 deep-learning forecasting indonesia joint-learning machine-learning optuna python pytorch

Last synced: 05 May 2025