model-visualization
There are 29 repositories under model-visualization topic.
microsoft/tensorwatch
Debugging, monitoring and visualization for Python Machine Learning and Data Science
ErikEJ/EFCorePowerTools
Entity Framework Core Power Tools - reverse engineering, migrations and model visualization in Visual Studio & CLI
ModelOriented/DALEX
moDel Agnostic Language for Exploration and eXplanation
ModelOriented/modelStudio
📍 Interactive Studio for Explanatory Model Analysis
aniketmaurya/chitra
A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
pbiecek/ema
Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
ModelOriented/live
Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME method. Available on CRAN
ModelOriented/corrgrapher
Visualize correlations between variables
sub1120/PSR-KD
Automated Shorthand Recognition using Optimized DNNs
ModelOriented/triplot
Triplot: Instance- and data-level explanations for the groups of correlated features.
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
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.
HAROS-framework/stratis
Graphical User Interface to debug ROS systems
Ramesh-X/ModelViewer
Display outputs of each layer in CNN models
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.
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."
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.
chethanMysore/ship-study-ui
ReactJS dashboard to visualize the model results of ShipCohortStudy
EricPaul075/OCP7-Scoring-model-implementation
Develop and deploy to the web a machine learning model to score banking credit applications
faticoco/FeatureModelAnalyzerProject
🌲 Visualize feature models interactively ⚡ Validate configurations in real-time 🤖 Translate constraints from natural language (AI-powered) 📊 Product-focused insights for devs & PMs
mason-lee19/stock_paper_trader
This will utilize neural network and machine learning models to paper trade on the stock market.
payneal/data_viz_group_final
Georgia Institute of Technology: DEPENDENCY AMONG ECONOMIES, MEASURED BY MAIN STOCK INDICES.
0xnu/ml_model_visualization
ML Model Visualization
arpanpramanik2003/traffic-accident-analysis
This project analyzes traffic accident data to identify patterns and predict crash severity using machine learning models. Various classification algorithms, including Random Forest, Logistic Regression, Decision Tree, and K-Nearest Neighbors (KNN), were trained to classify accident types.
devandrepascoa/PandemicSimulation
A Pandemic Simulation ApplIication, for simulating viruses
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.
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
madhurimarawat/Credit-Card-Prediction-Analysis
This repository contains credit card prediction project that I made using Streamlit and Python programming language.
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.