#计算机科学#Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
翻译 - 一个快速简单的框架,用于构建和运行分布式应用程序。 Ray与RLlib(可扩展的强化学习库)和Tune(可扩展的超参数调整库)打包在一起。
#计算机科学#An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
翻译 - 用于自动化机器学习生命周期的开源AutoML工具包,包括功能工程,神经体系结构搜索,模型压缩和超参数调整。
#计算机科学#A hyperparameter optimization framework
翻译 - 超参数优化框架
#计算机科学#The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
翻译 - 🔥用于可视化和跟踪机器学习实验的工具。此存储库包含CLI和Python API。
Automated Machine Learning with scikit-learn
翻译 - 使用scikit-learn进行自动化机器学习
A curated list of automated machine learning papers, articles, tutorials, slides and projects
翻译 - 自动化机器学习论文,文章,教程,幻灯片和项目的精选清单
#计算机科学#A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
翻译 - 一个快速轻量级的 AutoML 库。
#计算机科学#Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
翻译 - 通过特征工程和超参数调整来自动化机器学习管道:火箭:
#计算机科学#Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
翻译 - 确定:深度学习培训平台
#计算机科学#Sequential model-based optimization with a `scipy.optimize` interface
翻译 - 具有`scipy.optimize`接口的基于模型的顺序优化
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.