nrkarthikeyan's Stars
JuliaLang/julia
The Julia Programming Language
Trusted-AI/AIF360
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.
Trusted-AI/AIX360
Interpretability and explainability of data and machine learning models
BiomedSciAI/causallib
A Python package for modular causal inference analysis and model evaluations
kach/gradient-descent-the-ultimate-optimizer
Code for our NeurIPS 2022 paper
IBM/AutoMLPipeline.jl
A package that makes it trivial to create and evaluate machine learning pipeline architectures.
IBM/lale
Library for Semi-Automated Data Science
IBM/UQ360
Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.
pyt-team/TopoNetX
Computing on Topological Domains
pyt-team/TopoEmbedX
Representation Learning on Topological Domains
jw9730/hot
[NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch
wayne0908/Active-Learning-Homology
This is a project for the paper entitled "Finding the Homology of Decision Boundaries with Active Learning".