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model-visualization
Here are 14 public repositories matching this topic...
moDel Agnostic Language for Exploration and eXplanation
black-box
data-science
machine-learning
predictive-modeling
interpretability
explainable-artificial-intelligence
explanations
explainable-ai
explainable-ml
xai
model-visualization
interpretable-machine-learning
iml
dalex
explanatory-model-analysis
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Updated
Aug 20, 2020 - Python
Entity Framework Core Power Tools - reverse engineering, migrations and model visualization for EF Core
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Updated
Aug 20, 2020 - C#
machine-learning
predictive-modeling
interactive-visualizations
interpretability
explainable-artificial-intelligence
explainable-ai
explainable-ml
xai
model-visualization
interpretable-machine-learning
iml
explainability
explanatory-model-analysis
explainable-machine-learning
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Updated
Aug 17, 2020 - R
Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
machine-learning
explore
explain
examine
xai
model-visualization
predictive-models
explanatory-model-analysis
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Updated
Aug 18, 2020 - Jupyter Notebook
Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME method. Available on CRAN
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Updated
Aug 21, 2019 - R
Visualize correlations between variables
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Updated
May 5, 2020 - R
Triplot: Instance- and data-level explanations for the groups of correlated features.
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Updated
Aug 11, 2020 - R
This repo helps to track model Weights, Biases and Gradients during training with loss tracking and gives detailed insight for Classification-Model Evaluation
nlp
text-classification
sklearn
pytorch
classification
image-classification
tensorboard
metrics-visualization
tensorboard-visualization
model-visualization
tensorboard-pytorch
loss-plotting
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Updated
Apr 1, 2020 - Jupyter Notebook
Display outputs of each layer in CNN models
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Updated
Jun 20, 2018 - Python
ReactJS dashboard to visualize the model results of ShipCohortStudy
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Updated
Aug 13, 2020 - CSS
Yellowbrick wraps the scikit-learn and matplotlib to create publication-ready figures and interactive data explorations. It is a diagnostic visualization platform for machine learning that allows us to steer the model selection process by helping to evaluate the performance, stability, and predictive value of our models and further assist in diagnosing the problems in our workflow.
visualization
python
machine-learning
random-forest
scikit-learn
xgboost
classification
model-view-presenter
hyperparameter-tuning
model-evaluation
xgboost-algorithm
random-forest-classifier
model-visualization
yellowbrick
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Updated
Aug 20, 2020 - Jupyter Notebook
Code to visualize how different layers view the input when the output is changed. Also visualize the salient features as seen by the input image
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Updated
Dec 8, 2019 - Python
A Pandemic Simulation ApplIication, for simulating viruses
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Updated
Jun 13, 2020 - Java
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How to use Watcher / WatcherClient over tcp/ip network?
Watcher seems to ZMQ server, and WatcherClient is ZMQ Client, but there is no API/Interface to config server IP address.
Do I need to implement a class that inherits from WatcherClient?