skll
ML experiment runner
A toolset for running machine learning experiments with scikit-learn
SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
552 stars
46 watching
67 forks
Language: Python
last commit: 4 months ago
Linked from 1 awesome list
hacktoberfestmachine-learningpythonscikit-learn
Related projects:
Repository | Description | Stars |
---|---|---|
| An interactive platform for exploring and comparing various machine learning algorithms and techniques using visualizations and example code. | 1,667 |
| Enables machine learning with scikit-learn in OCaml | 34 |
| Tutorials and materials for learning machine learning with Python using popular libraries like scikit-learn. | 576 |
| A Julia implementation of popular machine learning algorithms and interfaces. | 547 |
| Research on integrating machine learning with emergent runtimes to improve performance and security. | 22 |
| A comprehensive Python module for machine learning built on top of SciPy | 60,451 |
| An open-source machine learning development and training suite with tools for executing, tracking, and debugging experiments. | 367 |
| A tutorial on parallel machine learning with scikit-learn and IPython | 1,593 |
| Tools and utilities for deploying and sharing scikit-learn models in production | 457 |
| A Python library for scalable machine learning using Dask alongside popular ML libraries | 907 |
| A tool for version control of machine learning experiments | 1,649 |
| Teaches Machine Learning fundamentals in Python using Scikit-Learn and TensorFlow | 5 |
| A machine learning package for streaming data in Python. | 766 |
| Provides training materials and tools for building machine learning applications | 72 |