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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

Related Keywords
model-visualization 26 machine-learning 10 xai 6 python 6 explanatory-model-analysis 5 classification 4 visualization 4 explainable-ai 3 deep-learning 3 iml 3 interpretability 3 explanations 2 interpretable-machine-learning 2 tensorflow 2 pytorch 2 nlp 2 keras 2 image-classification 2 model-evaluation 2 neural-network 2 hyperparameter-tuning 2 hacktoberfest 2 ai 2 data-science 2 debugging 2 explainable-ml 2 project-presentation 1 model-building-and-training 1 libraries-and-tools 1 project-report 1 data-preprocessing 1 llm 1 streamlit 1 data-loading-and-handling 1 transformer-models 1 shap 1 llms 1 self-attention 1 ml 1 machine-learning-algorithms 1 streamlit-deployment 1 model-interpretability 1 web-app 1 model-fine-tuning 1 lime 1 masked-language-models 1 huggingface 1 bert 1 visual-explanations 1 responsible-ml 1 responsible-ai 1 predictive-modeling 1 fairness 1 black-box 1 explainable-artificial-intelligence 1 dalex 1 text-classification 1 economies 1 stock-indices 1 model-view-presenter 1 random-forest 1 random-forest-classifier 1 scikit-learn 1 xgboost 1 xgboost-algorithm 1 yellowbrick 1 react-redux 1 reactjs 1 ship-study-ui 1 graph-visualization 1 hyperparameters 1 cnn-keras 1 pyqt4 1 visualization-toolbox 1 visualzation 1 neat-python 1 paper-trading 1 stock-market 1 trading-algorithms 1 deepl-learning 1 knowledge-distillation 1 model-optimization 1 shorthand-notation 1 mobilenetv2 1 visualisation 1 chaos-theory 1 lorenz-attractor 1 opengl 1 loss-plotting 1 metrics-visualization 1 sklearn 1 tensorboard 1 tensorboard-pytorch 1 tensorboard-visualization 1 dbcontext 1 interactive 1 interactivity 1 interpretable 1 learning 1 machine 1