Scale Optuna with Dask
MIT License
OpTaS: An optimization-based task specification library for trajectory optimization and model pre...
Python 3.8+ toolbox for submitting jobs to Slurm
Distance computations with Dask (akin to scipy.spatial.distance)
Example codes in the medium post titled "Optuna meets Weights and Biases."
Parallel computing with task scheduling
MadPy Dask talk materials
Dask tutorials for Big Data Analysis and Machine Learning as Jupyter notebooks
A hyperparameter optimization framework
Optax is a gradient processing and optimization library for JAX.
Distributed Asynchronous Hyperparameter Optimization in Python
Run many functions (adaptively) on many cores (>10k-100k) using mpi4py.futures, ipyparallel, loky...
State-of-the art Automated Machine Learning python library for Tabular Data
Optuna-optimized ML methods, with scikit-learn like API
Distributed SQL Engine in Python using Dask