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Hpo Python Packages

Python packages with the GitHub topic hpo. Sorted by monthly downloads, with stars and forks.
anergictcell
pyhpo

A Python library to work with, analyze, filter and inspect the Human Phenotype Ontology

8K 28 3
P2GX
gpsea

A Python library for discovery of genotype-phenotype associations

2K 12 1
MargoSolo
hpo-drift

Diff two HPO releases for YOUR terms: renames, obsoletions, and how Resnik/Lin similarity drifts

799 0 0
EMI-Group
evorl-jax

EvoRL is a fully GPU-accelerated framework for Evolutionary Reinforcement Learning, implemented with JAX. It supports Reinforcement Learning (RL), Evolutionary Computation (EC), Evolution-guided Reinforcement Learning (ERL), AutoRL, and seamless integration with GPU-optimized simulation environments.

710 337 39
LGE-ARC-AdvancedAI
auptimizer

An automatic ML model optimization tool.

703 198 25
GeneDx
phenopy

Phenotype comparison tools using semantic similarity

371 9 0
MargoSolo
phenotopo

A QC and explainability toolkit for phenotype cohorts: HPO/Phenopacket quality control, annotation-bias checks, outliers, ontology-aware group comparison and robust cohort structure.

306 0 0
automl
hpoglue

HPO tool with a modular API that allows for the easy interfacing of a new Optimizer and a new Benchmark

137 4 0
monarch-initiative
genophenocorr

A Python library for discovery of genotype-phenotype associations

95 12 1
HeT-FTI
het-ai

HeT-FTI MLOps all-in-one Solution

93 0 0
automl
hposuite

A lightweight framework for benchmarking HPO algorithms

75 3 0
willleeney
ugle

Python Framework for An Investigation into Unsupervised GNN Learning Environments

57 6 1
keyhankamyar
spax

Pythonic, type-safe search space configuration for HPO (hyperparameter optimization), NAS (neural architecture search), and ML experiment tracking. Define complex search spaces with conditional parameters, automatic validation, and zero boilerplate. Pydantic-based, Optuna-ready to nail hyperparameter tuning.

55 9 0
jianzhnie
autotabular

Automatic machine learning for tabular data. ⚡🔥⚡

46 70 10
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology