Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
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Updated
Jul 10, 2024 - Python
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
An automatic ML model optimization tool.
[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
Automatic machine learning for tabular data. ⚡🔥⚡
Phenotype comparison tools using semantic similarity.
Bayesian Optimization Hyperband Hyperparameter Optimization
Python library for extracting HPO encoded phenotypes from text
A Python library to work with, analyze, filter and inspect the Human Phenotype Ontology
[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.
[NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations
Python Framework for An Investigation into Unsupervised GNN Learning Environments
AI Diagnosis Assistant for Diagnosing Rare Diseases
A REST-API wrapper around PyHPO to handle the Human Phenotype Ontology (HPO) through HTTP(S)
A simple tool to perform parameter sweeps on SLURM clusters.
Python library to work with HPO (Human Phenotype Ontology) terms and their gene/disease associations
A repository that contains an example for hpo using Optuna and MLflow
A library based on Keras, SMAC and HpBandSter to auto tune autoencoder architectures.
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