captum

There are 0 repository under captum topic.

cdpierse / transformers-interpret
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
nlp machine-learning natural-language-processing explainable-ai transformers model-explainability transformers-model captum deep-learning neural-network interpretability computer-vision
Language:Jupyter Notebook 1212
inseq-team / inseq
Interpretability for sequence generation models 🐛 🔍
interpretability deep-learning transformers explainable-ai captum huggingface attribution-methods natural-language-processing generative-ai language-generation language-model large-language-models sequence-to-sequence
Language:Python 310
DFKI-NLP / thermostat
Collection of NLP model explanations and accompanying analysis tools
explainability interpretability natural-language-processing transformers datasets feature-attribution saliency-maps heatmaps captum explainable-nlp
Language:Jsonnet 141
copenlu / ALPS_2021
XAI Tutorial for the Explainable AI track in the ALPS winter school 2021
explainability colab exercises colab-notebook captum pytorch interpretability
Language:Jupyter Notebook 57
TannerGilbert / Model-Interpretation
Overview of different model interpretability libraries.
captum lime model-interpretability model-interpretation shap tf-explain
Language:Jupyter Notebook 38
robinvanschaik / interpret-flair
A small repository to test Captum Explainable AI with a trained Flair transformers-based text classifier.
captum explainable-ai flair integrated-gradients natural-language-processing text-classification
Language:Jupyter Notebook 22
richouzo / hate-speech-detection-survey
Trained Neural Networks (LSTM, HybridCNN/LSTM, PyramidCNN, Transformers, etc.) & comparison for the task of Hate Speech Detection on the OLID Dataset (Tweets).
nlp machine-learning deep-learning natural-language-processing twitter hatespeech offensive-language social-media hate-speech hate-speech-detection bert transformers huggingface captum xai
Language:Jupyter Notebook 20
LuanAdemi / VisualGo
Training a CNN to recognize the current Go position with photorealistic renders
blender3d captum gogame python pytorch resnet unet
Language:Jupyter Notebook 6
esceptico / toxic
End-to-end toxic Russian comment classification
nlp captum pytorch hydra streamlit deep-learning text-classification convolutional-neural-networks visualization
Language:Python 5
nicovandenhooff / indoor-scene-detector
This repository contains the source code for Indoor Scene Detector, a full stack deep learning computer vision application.
deep-learning neural-networks image-classification image-recognition convolutional-neural-networks machine-learning pytorch flask react captum computer-vision github-pages heroku
Language:Python 4
tsKenneth / interpretable-graph-classification
Interpretable graph classifications using Graph Convolutional Neural Network
graph-neural-networks convolutional-neural-networks captum interpretable-machine-learning
Language:GLSL 4
deep_classiflie
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"
machine-learning fact-checking nlp transformer-architecture pytorch captum interpretability ml data-engineering deep-learning disinformation bokeh machine-learning-research ml-framework umap twitter-bot research-project albert machine-learning-analysis database
Language:Python 3
braindatalab / xai-tris
XAI-Tris
artificial-intelligence benchmarking captum explainability explainable-ai explainable-ml innvestigate interpretability interpretable-ai interpretable-ml machine-learning python xai
Language:Jupyter Notebook 2
jihyeonseong / SAI-board-by-streamlit
Cyber Security AI Dashboard
cybersecurity dashboard data-visualization python security security-dataset streamlit streamlit-dashboard lrp captum
Language:Jupyter Notebook 2
the-ahuja-lab / Odorify-webserver
OdoriFy is an open-source tool with multiple prediction engines. This is the source code of the webserver.
olfaction deep-learning explainable-ai webserver captum
Language:Python 2
dg1223 / explainable-ai
Model interpretability for Explainable Artificial Intelligence
model-interpretability ms-azure captum imdb-sentiment-analysis imdb-movie databricks-notebooks spacy torch download-dataset sentiment-analysis
Language:Jupyter Notebook 1
js-yoo / xai_kimst2020
"XAI를 위한 Attribution Method 접근법 분석 및 동향 Analysis and Trend of Attribution Methods for XAI" 에서 사용한 코드와 예시를 공개
xai xai-attribution smoothgrad captum
Language:Jupyter Notebook 1
deep_classiflie_db
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.
machine-learning fact-checking nlp transformer-architecture pytorch captum interpretability ml data-engineering deep-learning disinformation bokeh machine-learning-research ml-framework umap twitter-bot research-project albert machine-learning-analysis database
Language:Jupyter Notebook 1
manyue-zhang / Frontend-for-Captum
Based on the papers "Interpretability Beyond Feature Attribution: QuantitativeTestingwithConceptActivationVectors(TCAV)" and Captum's instantiation https://captum.ai/docs/captum_insights, we developed this frontend for the Captum project based on the streamlit framework.
captum deep-learning python streamlit tcav webapp
0
R-N / covid-forecasting-joint-learning
COVID-19 forecasting model for East Java cities using Joint Learning. My undergrad thesis.
covid-19 forecasting pytorch captum optuna joint-learning deep-learning machine-learning python indonesia
Language:Python 0
LennardZuendorf / thesis-files
Collection of associated files for my bachelor thesis
captum jupyter-notebook machine-learning shap xai
Language:Jupyter Notebook
ProGamerGov / captum-tutorials
captum deep-learning interpretability neural-style-transfer style-transfer
Language:Jupyter Notebook
yuneg11 / Interpretability-Metrics
Interpretability Metrics
captum degradation interpretability metrics pytorch
Language:Python

captum

cdpierse / transformers-interpret

inseq-team / inseq

DFKI-NLP / thermostat

copenlu / ALPS_2021

TannerGilbert / Model-Interpretation

robinvanschaik / interpret-flair

richouzo / hate-speech-detection-survey

LuanAdemi / VisualGo

esceptico / toxic

nicovandenhooff / indoor-scene-detector

tsKenneth / interpretable-graph-classification

speediedan / deep_classiflie

braindatalab / xai-tris

jihyeonseong / SAI-board-by-streamlit

the-ahuja-lab / Odorify-webserver

dg1223 / explainable-ai

js-yoo / xai_kimst2020

speediedan / deep_classiflie_db

manyue-zhang / Frontend-for-Captum

R-N / covid-forecasting-joint-learning

LennardZuendorf / thesis-files

ProGamerGov / captum-tutorials

yuneg11 / Interpretability-Metrics