jrbourbeau / dask-optunaLinks
Scale Optuna with Dask
☆35Updated 4 years ago
Alternatives and similar repositories for dask-optuna
Users that are interested in dask-optuna are comparing it to the libraries listed below
Sorting:
- dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.☆59Updated 4 years ago
- Reproducibility for Humans: A lightweight tool to perform reproducible machine learning experiment.☆24Updated 6 years ago
- Extension to hypothesis for testing numpy general universal functions☆39Updated 4 years ago
- Scalable pattern search optimization with dask☆22Updated 8 years ago
- IPython magic for parallel profiling (like `%time`, but parallel)☆72Updated 7 years ago
- ☆78Updated 4 years ago
- Experimental Gradient Boosting Machines in Python with numba.☆185Updated 6 years ago
- Dask and Spark interactions☆21Updated 8 years ago
- Interactive parametric benchmarks in Python☆17Updated 4 years ago
- Gradient boosting on steroids☆28Updated last year
- Unified slicing for all Python data structures.☆35Updated 5 months ago
- ☆92Updated 5 years ago
- Multidimensional isotonic regression☆28Updated 8 years ago
- %conda magic for IPython☆28Updated 8 years ago
- Demo notebook of Ibis for "Spark + Python + Dita science Festival"☆12Updated 8 years ago
- Python code for tree ensemble interpretation☆84Updated 4 years ago
- ☆76Updated 10 months ago
- An Aspiring Drop-In Replacement for Pandas at Scale☆74Updated 3 years ago
- A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn fr…☆57Updated 4 years ago
- Tool to merge environment files of the conda package manager☆58Updated 7 months ago
- A general dispatch and override mechanism for Python.☆107Updated last week
- Runs black on code cells in a Jupyter notebook☆50Updated 3 years ago
- Sparrow is a boosting algorithm implementation that is optimized for training on very large datasets and/or in the limited memory setting…☆21Updated 4 years ago
- A command line utility to create kernels in Jupyter from virtual environments.☆16Updated 7 years ago
- Lambda Learner is a library for iterative incremental training of a class of supervised machine learning models.☆42Updated 2 years ago
- Introduction to Dask for PyTorch Workflows☆13Updated 4 years ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆84Updated last year
- Data and tooling to compare the API surfaces of various array libraries.☆56Updated last month
- A `select` accessor for easier subsetting of pandas DataFrames and Series☆34Updated 2 years ago
- ☆40Updated 2 years ago