https://github.com/aliabd/history-of-interpretation
Saliency methods link a deep neural network's (DNN) prediction to the input features that most
influence that prediction. #Library
Saliency methods link a deep neural network's (DNN) prediction to the input features that most
influence that prediction. #Library
GitHub
aliabd/history-of-interpretation
TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques - aliabd/history-of-interpretation
https://github.com/fbdesignpro/sweetviz In-depth EDA (target analysis, comparison, feature analysis, correlation) #Library #Tools
example of use: http://cooltiming.com/SV/SWEETVIZ_REPORT_COMPARED.html
example of use: http://cooltiming.com/SV/SWEETVIZ_REPORT_COMPARED.html
GitHub
GitHub - fbdesignpro/sweetviz: Visualize and compare datasets, target values and associations, with one line of code.
Visualize and compare datasets, target values and associations, with one line of code. - fbdesignpro/sweetviz
https://github.com/jessevig/bertviz
BertViz is a tool for visualizing attention in the Transformer model, supporting most models from the transformers library (BERT, GPT-2, XLNet, RoBERTa, XLM, CTRL, MarianMT, etc.). #Library #Tools
BertViz is a tool for visualizing attention in the Transformer model, supporting most models from the transformers library (BERT, GPT-2, XLNet, RoBERTa, XLM, CTRL, MarianMT, etc.). #Library #Tools
GitHub
GitHub - jessevig/bertviz: BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.) - GitHub - jessevig/bertviz: BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
https://elastiknn.com/ Elasticsearch Plugin for Nearest Neighbor Search on dense vectors
#Tools #Library
#Tools #Library
Elastiknn
Home
Elasticsearch Plugin for Nearest Neighbor Search
https://github.com/yzhao062/pyod outlier/anomaly detection - many methods in one library #framework #library
GitHub
GitHub - yzhao062/pyod: A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques - yzhao062/pyod