Vega is a visualization grammar, a declarative format for creating, saving, and sharing interactive visualization designs. With Vega you can describe data visualizations in a JSON format, and generate interactive views using either HTML5 Canvas or SVG. For documentation, tutorials, and examples, see the Vega website. For a description of changes between Vega 2 and later versions, please refer to the Vega Porting Guide. 

Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics. 

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

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.

H2O is an in-memory platform for distributed, scalable machine learning. H2O uses familiar interfaces like R, Python, Scala, Java, JSON and the Flow notebook/web interface, and works seamlessly with big data technologies like Hadoop and Spark. H2O provides implementations of many popular algorithms such as Generalized Linear Models (GLM), Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks, Stacked Ensembles, Naive Bayes, Generalized Additive Models (GAM), Cox Proportional Hazards, K-Means, PCA, Word2Vec, as well as a fully automatic machine learning algorithm (H2O AutoML). H2O is extensible so that developers can add data transformations and custom algorithms of their choice and access them through all of those clients. H2O models can be downloaded and loaded into H2O memory for scoring, or exported into POJO or MOJO format for extemely fast scoring in production. More information can be found in the H2O User Guide. H2O-3 (this repository) is the third incarnation of H2O, and the successor to H2O-2. 

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

sushanthnandakumar Kit

Group Name 1

vegaby vega

vegaby vega

seabornby mwaskom

seabornby mwaskom

cloud-annotationsby cloud-annotations

cloud-annotationsby cloud-annotations

Group Name 2

h2o-3by h2oai

h2o-3by h2oai

automl-starterby kandikits

automl-starterby kandikits