1. Model evaluation & validation
  2. Jupyter Notebook
  3. Open Source Tools for AI-Projects

Open Source Tools for AI-Projects

Displaying 1 - 10 of 17
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.
notebook by jupyter


Jupyter Interactive Notebook
shapash by MAIF


🔅 Shapash makes Machine Learning models transparent and understandable by everyone
pycaret by pycaret


An open-source, low-code machine learning library in Python
shap by slundberg


A game theoretic approach to explain the output of any machine learning model.
AdvBox by advboxes


Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.
advertorch by BorealisAI


A Toolbox for Adversarial Robustness Research
lightwood by mindsdb


Lightwood is Legos for Machine Learning.


Attributing predictions made by the Inception network using the Integrated Gradients method


Apache Marvin-AI