kandi background
Explore Kits

sushanthnandakumar Kit

by sushanthnandakumar Updated: Jan 8, 2022

Group Name 1

vegaby vega

JavaScript star image 10209 Version:5.22.1

License: Permissive (BSD-3-Clause)

A visualization grammar.

Support
Quality
Security
License
Reuse

vegaby vega

JavaScript star image 10209 Version:5.22.1 License: Permissive (BSD-3-Clause)

A visualization grammar.
Support
Quality
Security
License
Reuse

seabornby mwaskom

Python star image 10314 Version:0.12.2

License: Permissive (BSD-3-Clause)

Statistical data visualization in Python

Support
Quality
Security
License
Reuse

seabornby mwaskom

Python star image 10314 Version:0.12.2 License: Permissive (BSD-3-Clause)

Statistical data visualization in Python
Support
Quality
Security
License
Reuse

cloud-annotationsby cloud-annotations

TypeScript star image 2653 Version:v1.3.2

License: Permissive (MIT)

🐝 A fast, easy and collaborative open source image annotation tool for teams and individuals.

Support
Quality
Security
License
Reuse

cloud-annotationsby cloud-annotations

TypeScript star image 2653 Version:v1.3.2 License: Permissive (MIT)

🐝 A fast, easy and collaborative open source image annotation tool for teams and individuals.
Support
Quality
Security
License
Reuse

Group Name 2

h2o-3by h2oai

Jupyter Notebook star image 6124 Version:jenkins-master-6093

License: Permissive (Apache-2.0)

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Support
Quality
Security
License
Reuse

h2o-3by h2oai

Jupyter Notebook star image 6124 Version:jenkins-master-6093 License: Permissive (Apache-2.0)

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Support
Quality
Security
License
Reuse

Kit Solution Source

automl-starterby kandikits

Jupyter Notebook star image 0 Version:Current

License: Permissive (MIT)

This repo helps beginners and citizen data scientists to build machine learning models

Support
Quality
Security
License
Reuse

automl-starterby kandikits

Jupyter Notebook star image 0 Version:Current License: Permissive (MIT)

This repo helps beginners and citizen data scientists to build machine learning models
Support
Quality
Security
License
Reuse