Reverse Dependencies of scikit-learn-intelex

The following projects have a declared dependency on scikit-learn-intelex:

• aglite-test.tabular — AutoML for Image, Text, and Tabular Data
• atom-ml — A Python package for fast exploration of machine learning pipelines
• autogluon.tabular — Fast and Accurate ML in 3 Lines of Code
• autogluon-tonyhu-test.tabular — AutoML for Image, Text, and Tabular Data
• bluemist — Bluemist AI is a low code machine learning library written in Python to develop, evaluate and deploy automated ML pipleines.
• cPredictor — Cell command line predictor
• dataset-librarian — Dataset librarian is a tool to download and apply the preprocessing needed for the list of supported datasets
• PG-SUI — Python machine and deep learning package to impute missing SNPs
• pycaret — PyCaret - An open source, low-code machine learning library in Python.
• scMMT — A package for cell annotation, protein prediction, and low dimensional embedding representation
• sklearn-numba-dpex — Computational Engine for scikit-learn based on numba-dpex
• skops — A set of tools to push scikit-learn based models to and pull from Hugging Face Hub
• snpio — Reads and writes VCF, PHYLIP, and STRUCTURE files and performs data filtering on the alignment.
• svreg — Module to perform regression using Shapley Values.
• TPOT2 — Tree-based Pipeline Optimization Tool
• yv-utils — no summary