Entity Framework Core Power Tools - reverse engineering, migrations and model visualization in Visual Studio & CLI
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Updated
Sep 22, 2024 - C#
Entity Framework Core Power Tools - reverse engineering, migrations and model visualization in Visual Studio & CLI
moDel Agnostic Language for Exploration and eXplanation
This program demonstrates the use of a decision tree classifier to recommend music genres based on user demographics. Visualizes the decision-making process of the model using Graph viz. The accuracy score provides a quantitative measure of how effectively the model predicts user preferences.
A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
ML Model Visualization
This will utilize neural network and machine learning models to paper trade on the stock market.
Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
📍 Interactive Studio for Explanatory Model Analysis
Debugging, monitoring and visualization for Python Machine Learning and Data Science
This repository provides a collection of code and implementations for various chaos theory models. It aims to facilitate the understanding and exploration of chaos theory concepts and inspire further research and experimentation in this field.
ReactJS dashboard to visualize the model results of ShipCohortStudy
Develop and deploy to the web a machine learning model to score banking credit applications
Automated Shorthand Recognition using Optimized DNNs
A Pandemic Simulation ApplIication, for simulating viruses
Triplot: Instance- and data-level explanations for the groups of correlated features.
Visualize correlations between variables
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 dia…
Georgia Institute of Technology: DEPENDENCY AMONG ECONOMIES, MEASURED BY MAIN STOCK INDICES.
This repo helps to track model Weights, Biases and Gradients during training with loss tracking and gives detailed insight for Classification-Model Evaluation
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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