1. Explaining datasets and models
  2. Python
  3. Open Source Tools for AI-Projects

Open Source Tools for AI-Projects

Displaying 1 - 10 of 26
mindsdb by mindsdb


In-Database Machine Learning
model-analysis by tensorflow


Model analysis tools for TensorFlow
alibi by SeldonIO


Algorithms for explaining machine learning models
captum by pytorch


Model interpretability and understanding for PyTorch
fairlearn by fairlearn


A Python package to assess and improve fairness of machine learning models.
lightly by lightly-ai


A python library for self-supervised learning on images.
AIF360 by Trusted-AI


A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
DALEX by ModelOriented


moDel Agnostic Language for Exploration and eXplanation
innvestigate by albermax


A toolbox to iNNvestigate neural networks' predictions!


Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation