1. Jupyter Notebook
  2. Data preparation
  3. Open Source Tools for AI-Projects

Open Source Tools for AI-Projects

Displaying 1 - 9 of 9
h2o-3 by h2oai


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.
quilt by quiltdata


Quilt is a self-organizing data hub for S3
pycaret by pycaret


An open-source, low-code machine learning library in Python
lightwood by mindsdb


Lightwood is Legos for Machine Learning.
GEBI by AgaMiko


GEBI: Global Explanations for Bias Identification. Open source code for discovering bias in data with skin lesion dataset
tsfresh by blue-yonder


Automatic extraction of relevant features from time series:
facets by PAIR-code


Visualizations for machine learning datasets
pixiedust by pixiedust


Python Helper library for Jupyter Notebooks
themis-ml by cosmicBboy


A library that implements fairness-aware machine learning algorithms