Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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Updated
Jul 11, 2024 - Python
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
LAMA - automatic model creation framework
EvalML is an AutoML library written in python.
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
本人多次机器学习与大数据竞赛Top5的经验总结,满满的干货,拿好不谢
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Time Series Cross-Validation -- an extension for scikit-learn
State-of-the art Automated Machine Learning python library for Tabular Data
A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
Fit and compare complex models reliably and rapidly. Advanced nested sampling.
Measure and visualize machine learning model performance without the usual boilerplate.
Python library for Bayesian hyper-parameters optimization
DataFrame support for scikit-learn.
A Bayesian model+algorithm for community detection in bipartite networks
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