GitHub topics: model-visualization
ErikEJ/EFCorePowerTools
Entity Framework Core Power Tools - reverse engineering, migrations and model visualization in Visual Studio & CLI
Language: C# - Size: 3.06 GB - Last synced at: 5 days ago - Pushed at: 14 days ago - Stars: 2,314 - Forks: 315

microsoft/tensorwatch
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Language: Jupyter Notebook - Size: 21.2 MB - Last synced at: 8 days ago - Pushed at: over 1 year ago - Stars: 3,439 - Forks: 362

ModelOriented/modelStudio
📍 Interactive Studio for Explanatory Model Analysis
Language: R - Size: 36.2 MB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 332 - Forks: 32

Gabrli/LiteCNN
LiteCNN: Intuitive Python library for creating, training and visualizing convolutional neural networks. Features simplified CNN layer definition, automated training workflows, model visualization, and seamless Keras-to-ONNX conversion. Includes 15 pre-configured popular models for immediate use.
Language: Python - Size: 1.25 MB - Last synced at: 18 days ago - Pushed at: 21 days ago - Stars: 4 - Forks: 1

HAROS-framework/stratis
Graphical User Interface to debug ROS systems
Language: Vue - Size: 394 KB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 1 - Forks: 0

aniketmaurya/chitra
A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
Language: Python - Size: 22.3 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 226 - Forks: 37

pbiecek/ema
Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
Language: Jupyter Notebook - Size: 908 MB - Last synced at: 18 days ago - Pushed at: about 1 year ago - Stars: 186 - Forks: 39

adithi741/Fake-Product-Review-Detection-Using-Opinion_Mining
"A machine learning project to detect fake product reviews using Opinion Mining. It analyzes review text, extracts features, and trains models to classify reviews as genuine or deceptive. The focus is on accuracy and precision to ensure online content authenticity."
Language: Jupyter Notebook - Size: 20.5 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

madhurimarawat/Credit-Card-Prediction-Analysis
This repository contains credit card prediction project that I made using Streamlit and Python programming language.
Language: Jupyter Notebook - Size: 5.22 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

ModelOriented/live
Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME method. Available on CRAN
Language: R - Size: 8.46 MB - Last synced at: 26 days ago - Pushed at: over 5 years ago - Stars: 35 - Forks: 5

ModelOriented/DALEX
moDel Agnostic Language for Exploration and eXplanation
Language: Python - Size: 798 MB - Last synced at: 6 months ago - Pushed at: 7 months ago - Stars: 1,370 - Forks: 166

AKKI0511/Masked-Language-Model
Powerful Python tool for visualizing and interacting with pre-trained Masked Language Models (MLMs) like BERT. Features include self-attention visualization, masked token prediction, model fine-tuning, embedding analysis with PCA/t-SNE, and SHAP-based model interpretability.
Language: Python - Size: 122 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

deventhujk1903/Music-Streaming-App-Accuracy
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.
Language: Jupyter Notebook - Size: 3.91 KB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

0xnu/ml_model_visualization
ML Model Visualization
Language: Jupyter Notebook - Size: 13.8 MB - Last synced at: 7 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

mason-lee19/stock_paper_trader
This will utilize neural network and machine learning models to paper trade on the stock market.
Language: Python - Size: 227 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

sub1120/PSR-KD
Automated Shorthand Recognition using Optimized DNNs
Language: Jupyter Notebook - Size: 23 MB - Last synced at: 11 months ago - Pushed at: almost 3 years ago - Stars: 11 - Forks: 0

khumairraj/Visualisation-Keras-models
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
Language: Python - Size: 19.7 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

ModelOriented/corrgrapher
Visualize correlations between variables
Language: R - Size: 150 MB - Last synced at: 27 days ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 0

xIvqn/chaos-theory
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.
Language: C++ - Size: 10.7 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

aman5319/Classification-Report
This repo helps to track model Weights, Biases and Gradients during training with loss tracking and gives detailed insight for Classification-Model Evaluation
Language: Jupyter Notebook - Size: 8.66 MB - Last synced at: 15 days ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 0

ModelOriented/triplot
Triplot: Instance- and data-level explanations for the groups of correlated features.
Language: R - Size: 54.1 MB - Last synced at: 2 days ago - Pushed at: about 4 years ago - Stars: 9 - Forks: 2

payneal/data_viz_group_final
DEPENDENCY AMONG ECONOMIES, MEASURED BY MAIN STOCK INDICES.
Language: Jupyter Notebook - Size: 3.18 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

rakibhhridoy/VisualMachineLearning-YellowBrick
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.
Language: Jupyter Notebook - Size: 6.6 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

chethanMysore/ship-study-ui
ReactJS dashboard to visualize the model results of ShipCohortStudy
Language: CSS - Size: 20 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

devandrepascoa/PandemicSimulation
A Pandemic Simulation ApplIication, for simulating viruses
Language: Java - Size: 765 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

Ramesh-X/ModelViewer
Display outputs of each layer in CNN models
Language: Python - Size: 1.52 MB - Last synced at: 14 days ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0
