AIF360
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.
OPENAGENTSKILL / DIRECTORY
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Results: 27
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.
MrForExample
An extensive node suite that enables ComfyUI to process 3D inputs (Mesh & UV Texture, etc) using cutting edge algorithms (3DGS, NeRF, etc.)
zotroneneis
Plain python implementations of basic machine learning algorithms
seungeunrho
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
ICT-BDA
Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.
szilard
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of…
microsoft
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
DigitalSlideArchive
A Python toolkit for pathology image analysis algorithms.
stephenhky
Various Algorithms for Short Text Mining
serengil
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random For…
Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
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