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
• bluemist — Bluemist AI is a low code machine learning library written in Python to develop, evaluate and deploy automated ML pipleines.
• claim-processor — Claim Processor provides automatic checking pipeline for detecting fine-grained hallucinations generated by Large Language Models.
• 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
• ImbBag — Package contains a collection of bagging ensemble algorithms for imbalanced data
• PG-SUI — Python machine and deep learning package to impute missing SNPs
• pycaret — PyCaret - An open source, low-code machine learning library in Python.
• pypef — A command-line interface (CLI) tool for performing data-driven protein engineering by building machine learning (ML)-trained regression models from sequence variant fitness data (in CSV format) based on different techniques for protein sequence encoding. Next to building pure ML models, "hybrid modeling" is also possible using a blended model optimized for predictive contributions of a statistical and an ML-based prediction.
• Ragzhongshui2 — A simple example Python package
• Ragzhongshui3 — A simple example Python package
• Ragzhongshui4 — A simple example Python package
• Ragzhongshui5 — A simple example Python package
• Ragzhongshui6 — A simple example Python package
• Ragzhongshui7 — A simple example Python package
• refchecker — RefChecker provides automatic checking pipeline for detecting fine-grained hallucinations generated by Large Language Models.
• scikitty — A package to create Decision Trees like Scikitlearn.
• 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
• svreg — Module to perform regression using Shapley Values.
• TPOT2 — Tree-based Pipeline Optimization Tool
• yv-utils — no summary