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
Jun 13, 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.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
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.
A collection of computer vision pre-trained models.
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
LAMA - automatic model creation framework
EvalML is an AutoML library written in python.
A comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet still efficient approach to machine learning.
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
ML hyperparameters tuning and features selection, using evolutionary algorithms.
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting 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
Human-explainable AI.
Efficient phylogenomic software by maximum likelihood
Time Series Cross-Validation -- an extension for scikit-learn
State-of-the art Automated Machine Learning python library for Tabular Data
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
💪 🤔 Modern Super Learning with Machine Learning Pipelines
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