model-visualization

There are 3 repositories under model-visualization topic.

microsoft / tensorwatch
Debugging, monitoring and visualization for Python Machine Learning and Data Science
ai deep-learning deeplearning machine-learning machinelearning reinforcement-learning debugging debugging-tool debug monitoring explainable-ai explainable-ml saliency model-visualization data-science python jupyter-notebook jupyter
Language:Jupyter Notebook 3464
EFCorePowerTools
ErikEJ / EFCorePowerTools
Entity Framework Core Power Tools - reverse engineering, migrations and model visualization in Visual Studio & CLI
entity-framework-core visual-studio entity-framework model-visualization sql-server hacktoberfest dbcontext dotnet visual-studio-extension
Language:C# 2436
DALEX
ModelOriented / DALEX
moDel Agnostic Language for Exploration and eXplanation (JMLR 2018; JMLR 2021)
machine-learning interpretability data-science xai iml model-visualization dalex explanations explainable-ai explainable-artificial-intelligence predictive-modeling black-box explainable-ml interpretable-machine-learning explanatory-model-analysis responsible-ai responsible-ml fairness
Language:Python 1446
modelStudio
ModelOriented / modelStudio
📍 Interactive Studio for Explanatory Model Analysis
xai iml interpretability interpretable-machine-learning explanatory-model-analysis explainable-ai explainable-machine-learning model-visualization learning machine explainable interactive interpretable model ai human interactivity r visualization
Language:R 333
chitra
aniketmaurya / chitra
A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
bounding-boxes deep-learning fastapi gradcam hacktoberfest image-classification image-dataset image-processing machine-learning mlops model-deployment model-interpretation model-serving model-visualization object-detection python pytorch tensorflow visualization
Language:Python 230
ema
pbiecek / ema
Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
examine explain explanatory-model-analysis explore machine-learning model-visualization predictive-models xai
Language:Jupyter Notebook 196
ModelOriented / live
Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME method. Available on CRAN
model-visualization machine-learning interpretability lime visual-explanations xai iml
Language:R 35
ModelOriented / corrgrapher
Visualize correlations between variables
xai model-visualization explanatory-model-analysis
Language:R 13
sub1120 / PSR-KD
Automated Shorthand Recognition using Optimized DNNs
classification deepl-learning model-optimization model-visualization shorthand-notation knowledge-distillation
Language:Jupyter Notebook 11
ModelOriented / triplot
Triplot: Instance- and data-level explanations for the groups of correlated features.
xai explanations machine-learning explanatory-model-analysis model-visualization
Language:R 9
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
tensorboard tensorboard-visualization tensorboard-pytorch metrics-visualization model-visualization pytorch sklearn loss-plotting classification nlp text-classification image-classification
Language:Jupyter Notebook 5
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.
cnn-classification computer-vision deep-learning-framework keras-tensorflow machine-learning model-visualization neural-networks onnx python-library tensorflow2
Language:Python 4
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."
feature-engineering feature-extraction machine-learning model-visualization natural-language-processing nlp-keywords-extraction opinion-mining sentiment-analysis
Language:Jupyter Notebook 2
HAROS-framework / stratis
Graphical User Interface to debug ROS systems
architecture dashboard debugging inspection model-extraction model-visualization modeling ros ros2 static-analysis verification visualization
Language:Vue 2
JSLEE-0703 / Yolov8-drone-detection
This project integrates MobileViTv3 into YOLOv8 for UAV-based object detection, achieving higher accuracy and smoother training than the original yolov8n.pt. Designed with lightweight efficiency, it is well-suited for deployment on edge devices such as drones. A Streamlit app is provided for intuitive model visualization and real-time inference.
deep-learning mobilevitv3 model-visualization pytorch streamlit yolov8
Language:Jupyter Notebook 1
Ramesh-X / ModelViewer
Display outputs of each layer in CNN models
cnn-keras keras model-visualization pyqt4 visualization-toolbox visualzation
Language:Python 1
Ricardouchub / evalcards
Librería Python para generar reportes de evaluación (clasificación, regresión, forecasting) con métricas y gráficos listos en Markdown, JSON y pronto HTML.
evalcards pypi model-evaluation model-metrics model-visualization
Language:Python 1
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.
chaos-theory lorenz-attractor model-visualization opengl
Language:C++ 1
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.
bert deep-learning huggingface machine-learning masked-language-models model-fine-tuning model-interpretability model-visualization nlp python self-attention shap tensorflow transformer-models
Language:Python 0
chethanMysore / ship-study-ui
ReactJS dashboard to visualize the model results of ShipCohortStudy
react-redux model-visualization reactjs ship-study-ui
Language:CSS 0
EricPaul075 / OCP7-Scoring-model-implementation
Develop and deploy to the web a machine learning model to score banking credit applications
api dimensionality-reduction feature-engineering hyperparameter-optimization imbalanced-classification large-dataset lightgbm-classifier model-visualization modelisation optuna preprocessing scoring shap streamlit dashboard fastapi matplotlib pandas python
Language:Jupyter Notebook 0
faticoco / FeatureModelAnalyzerProject
🌲 Visualize feature models interactively ⚡ Validate configurations in real-time 🤖 Translate constraints from natural language (AI-powered) 📊 Product-focused insights for devs & PMs
fastapi feature-model model-visualization product-configuration reactjs ai-constraint-translation constraint-analysis
Language:JavaScript 0
mason-lee19 / stock_paper_trader
This will utilize neural network and machine learning models to paper trade on the stock market.
model-visualization neat-python neural-network paper-trading python stock-market trading-algorithms
Language:Python 0
payneal / data_viz_group_final
Georgia Institute of Technology: DEPENDENCY AMONG ECONOMIES, MEASURED BY MAIN STOCK INDICES.
model-visualization stock-indices economies
Language:Jupyter Notebook 0
0xnu / ml_model_visualization
ML Model Visualization
llm llms ml model-visualization neural-network
Language:Jupyter Notebook
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.
machne-learning confusion-matrix data-analysis decision-tree-classifier eda knn-classification logistic-regression model-evaluation model-visualization random-forest-classifier
Language:Jupyter Notebook
devandrepascoa / PandemicSimulation
A Pandemic Simulation ApplIication, for simulating viruses
graph-visualization model-visualization hyperparameters
Language:Java
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.
data-preprocessing model-evaluation model-visualization data-loading-and-handling libraries-and-tools model-building-and-training
Language:Jupyter Notebook
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
keras visualisation model-visualization mobilenetv2
Language:Python
Credit-Card-Prediction-Analysis
madhurimarawat / Credit-Card-Prediction-Analysis
This repository contains credit card prediction project that I made using Streamlit and Python programming language.
classification classifier dataset-visualization datasets deployment dynamic-rendering hyperparameter-tuning hyperparameter-tuning-in-pipeline intermediate-project internship-project knn machine-learning-algorithms model-visualization project-presentation project-report python streamlit streamlit-deployment web-app credit-card-prediction
Language:Jupyter Notebook
Param-Uttarwar / neural-network-visualizer
Easy-to-use UI based tool that visualizes the internal layers and activations of any Pytorch network that takes image as input , built using PyQt
cnn deep-learning interactive-visualizations machine-learning model-debugging model-explainability model-visualization neural-networks pyqt pytorch transformers visualization ai-tools
Language:Python
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.
yellowbrick machine-learning xgboost-algorithm xgboost random-forest random-forest-classifier classification scikit-learn python model-evaluation model-view-presenter visualization model-visualization hyperparameter-tuning
Language:Jupyter Notebook

model-visualization

microsoft / tensorwatch

ErikEJ / EFCorePowerTools

ModelOriented / DALEX

ModelOriented / modelStudio

aniketmaurya / chitra

pbiecek / ema

ModelOriented / live

ModelOriented / corrgrapher

sub1120 / PSR-KD

ModelOriented / triplot

aman5319 / Classification-Report

Gabrli / LiteCNN

adithi741 / Fake-Product-Review-Detection-Using-Opinion_Mining

HAROS-framework / stratis

JSLEE-0703 / Yolov8-drone-detection

Ramesh-X / ModelViewer

Ricardouchub / evalcards

xIvqn / chaos-theory

AKKI0511 / Masked-Language-Model

chethanMysore / ship-study-ui

EricPaul075 / OCP7-Scoring-model-implementation

faticoco / FeatureModelAnalyzerProject

mason-lee19 / stock_paper_trader

payneal / data_viz_group_final

0xnu / ml_model_visualization

arpanpramanik2003 / traffic-accident-analysis

devandrepascoa / PandemicSimulation

deventhujk1903 / Music-Streaming-App-Accuracy

khumairraj / Visualisation-Keras-models

madhurimarawat / Credit-Card-Prediction-Analysis

Param-Uttarwar / neural-network-visualizer

rakibhhridoy / VisualMachineLearning-YellowBrick