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model-visualization
Here are 18 public repositories matching this topic...
moDel Agnostic Language for Exploration and eXplanation
black-box
data-science
machine-learning
predictive-modeling
fairness
interpretability
explainable-artificial-intelligence
explanations
explainable-ai
explainable-ml
xai
model-visualization
interpretable-machine-learning
iml
dalex
responsible-ai
responsible-ml
explanatory-model-analysis
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Updated
Dec 30, 2020 - Python
Entity Framework Core Power Tools - reverse engineering, migrations and model visualization for EF Core
visual-studio
sql-server
entity-framework
dbcontext
entity-framework-core
hacktoberfest
model-visualization
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Updated
Jan 1, 2021 - 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
-
Updated
Nov 23, 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
Dec 11, 2020 - Jupyter Notebook
Yet another yolov5, with its runtime stack for libtorch, onnx and specialized accelerators. You like torchvision's retinanet? You like yolov5? You love yolov5rt!
inference
onnx
model-visualization
libtorch
onnxruntime
torchscript
yolov5
jit-models
pytorch-export-libtorch
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Updated
Dec 31, 2020 - Python
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
aniketmaurya
commented
Sep 30, 2020
Function for reading TFrecord dataset
Inputs should be dataset path and feature dictionary.
def read_tfrecord(dataset_path, feature_dictionary):
# parse the data using feature dictionary
return data
Visualize correlations between variables
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Updated
Oct 10, 2020 - R
Triplot: Instance- and data-level explanations for the groups of correlated features.
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Updated
Dec 19, 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
Using GANs and Principal Component Analysis to Generate Cats
python
deep-neural-networks
keras
image-processing
generative-adversarial-network
gan
dcgan
generative-model
generative-art
image-generation
keras-tutorials
unsupervised-learning
principal-component-analysis
keras-models
model-visualization
keras-gan
dcgan-keras
pca-gan
keract
convolutional-kernels
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Updated
Dec 23, 2020 - Jupyter Notebook
DEPENDENCY AMONG ECONOMIES, MEASURED BY MAIN STOCK INDICES.
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Updated
Apr 20, 2020 - Jupyter Notebook
ReactJS dashboard to visualize the model results of ShipCohortStudy
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Updated
Dec 12, 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?