Scalable Machine Learning with Dask
☆950Sep 27, 2025Updated last year
Alternatives and similar repositories for dask-ml
Users that are interested in dask-ml are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A distributed task scheduler for Dask☆1,696Updated this week
- Easy-to-run example notebooks for Dask☆386Nov 26, 2025Updated 10 months ago
- Parallel computing with task scheduling☆13,932Sep 29, 2026Updated last week
- Native Kubernetes integration for Dask☆324Sep 18, 2026Updated 3 weeks ago
- dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml☆240Oct 13, 2018Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆161Jul 14, 2021Updated 5 years ago
- ☆78Jan 23, 2026Updated 8 months ago
- Dask tutorial☆1,859Nov 4, 2025Updated 11 months ago
- A multi-tenant server for securely deploying and managing Dask clusters.☆148Updated this week
- JupyterLab extension for Dask☆329Jun 2, 2025Updated last year
- Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per s…☆8,513Apr 1, 2026Updated 6 months ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,830Feb 23, 2024Updated 2 years ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,406Feb 19, 2025Updated last year
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,850Apr 8, 2026Updated 6 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Real-time stream processing for python☆1,305Sep 22, 2026Updated 2 weeks ago
- Pandas integration with sklearn☆2,839Jun 8, 2023Updated 3 years ago
- ☆93Jan 8, 2020Updated 6 years ago
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,181Sep 29, 2026Updated last week
- Modin: Scale your Pandas workflows by changing a single line of code☆10,393Feb 10, 2026Updated 7 months ago
- Deploy Dask on job schedulers like PBS, SLURM, and SGE☆256Dec 19, 2025Updated 9 months ago
- An open source python library for automated feature engineering☆7,687Sep 11, 2026Updated 3 weeks ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,055Sep 11, 2025Updated last year
- Automated Machine Learning with scikit-learn☆8,135Sep 15, 2026Updated 3 weeks ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Data Analysis Baseline Library☆725Dec 16, 2024Updated last year
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆128Jun 10, 2025Updated last year
- Docker images for dask☆243Aug 31, 2026Updated last month
- N-D labeled arrays and datasets in Python☆4,208Updated this week
- A library of sklearn compatible categorical variable encoders☆2,508Sep 8, 2026Updated last month
- Quickly and accurately render even the largest data.☆3,566Updated this week
- cuDF - GPU DataFrame Library☆9,772Updated this week
- With Holoviews, your data visualizes itself.☆2,910Updated this week
- ML-Ensemble – high performance ensemble learning☆866Nov 13, 2023Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Sparse multi-dimensional arrays for the PyData ecosystem☆669Updated this week
- A scikit-learn compatible neural network library that wraps PyTorch☆6,179Sep 22, 2026Updated 2 weeks ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,126Jun 29, 2026Updated 3 months ago
- Declarative visualization library for Python☆10,493Updated this week
- Intake is a lightweight package for finding, investigating, loading and disseminating data.☆1,085Oct 2, 2026Updated last week
- NVIDIA cuML: GPU-Accelerated Machine Learning☆5,302Updated this week
- Statsmodels: statistical modeling and econometrics in Python☆11,678Updated this week