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

loinc2hpo Annotation Data

HPO and Architecture Benchmarking for RL: Dynamically, Reactive and Efficient

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.

[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

Analysis of LLMs for Clinical Observations

A Python library for discovery of genotype-phenotype associations

Genes variants annotation tools using online services. Also does basic manipulations of HPO.

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.