hyperparameter-optimization

#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。

Python 35.92 k

19 小时前

d2l-ai / d2l-en

#自然语言处理#Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

翻译 - 包含代码，数学和讨论的交互式深度学习书。在多框架中可用。

深度学习机器学习 book notebook 机器视觉自然语言处理 Python kaggle 数据科学 mxnet PyTorch Tensorflow Keras gaussian-processes hyperparameter-optimization recommender-system reinforcement-learning jax

Python 25.21 k

7 个月前

microsoft / nni

#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。

automl 深度学习 neural-architecture-search hyperparameter-optimization distributed bayesian-optimization automated-machine-learning 机器学习数据科学 Tensorflow PyTorch 神经网络深度神经网络 model-compression feature-engineering nas Python hyperparameter-tuning mlops

Python 14.14 k

8 个月前

optuna / optuna

#计算机科学#A hyperparameter optimization framework

翻译 - 超参数优化框架

Python 机器学习 parallel distributed hyperparameter-optimization Hacktoberfest

Python 11.53 k

1 天前

EpistasisLab / tpot

#计算机科学#A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

翻译 - 一个Python自动化机器学习工具，可使用基因编程来优化机器学习管道。

机器学习 Python 数据科学 automl 自动化 scikit-learn hyperparameter-optimization model-selection parameter-tuning automated-machine-learning random-forest gradient-boosting feature-engineering

Jupyter Notebook 9.86 k

14 天前

wandb / wandb

#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。

机器学习 experiment-track 深度学习 Keras Tensorflow PyTorch hyperparameter-search reinforcement-learning mlops 数据科学 collaboration hyperparameter-optimization reproducibility hyperparameter-tuning data-versioning model-versioning ml-platform jax 人工智能

Python 9.61 k

1 天前

autogluon / autogluon

#自然语言处理#Fast and Accurate ML in 3 Lines of Code

翻译 - AutoGluon：用于深度学习的AutoML工具包

automl 机器学习数据科学深度学习 ensemble-learning 机器视觉自然语言处理 structured-data object-detection gluon transfer-learning PyTorch automated-machine-learning scikit-learn tabular-data hyperparameter-optimization time-series forecasting Python

Python 8.53 k

1 天前

automl / auto-sklearn

Automated Machine Learning with scikit-learn

翻译 - 使用scikit-learn进行自动化机器学习

automl scikit-learn automated-machine-learning hyperparameter-optimization hyperparameter-tuning hyperparameter-search bayesian-optimization metalearning meta-learning smac

Python 7.76 k

2 个月前

microsoft / FLAML

#自然语言处理#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。

automl hyperparam automated-machine-learning 机器学习数据科学 Python Jupyter Notebook hyperparameter-optimization random-forest scikit-learn 深度学习自然语言处理 natural-language-generation timeseries-forecasting classification regression tuning finetuning tabular-data

Jupyter Notebook 4.07 k

2 天前

hibayesian / awesome-automl-papers

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

automl automated-feature-engineering hyperparameter-optimization neural-architecture-search

4.07 k

9 个月前

polyaxon / polyaxon

#计算机科学#MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

深度学习机器学习人工智能数据科学 reinforcement-learning Kubernetes Tensorflow PyTorch Keras mxnet caffe Jupyter Notebook notebook jupyterlab pipelines workflow mlops hyperparameter-optimization

3.61 k

10 天前

amanchadha / coursera-deep-learning-specialization

#计算机科学#Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neur...

深度学习 Coursera coursera-assignment coursera-machine-learning andrew-ng andrew-ng-course convolutional-neural-networks cnns recurrent-neural-networks convolutional-neural-network recurrent-neural-network hyperparameter-optimization hyperparameter-tuning 神经网络 neural-networks neural-machine-translation regularization

Jupyter Notebook 3.52 k

2 个月前

mljar / mljar-supervised

#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：

automl 机器学习 mljar 数据科学 scikit-learn hyperparameter-optimization feature-engineering xgboost random-forest 神经网络 lightgbm catboost ensemble decision-tree automated-machine-learning

Python 3.12 k

2 个月前

determined-ai / determined

#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

深度学习机器学习 ml-platform ml-infrastructure hyperparameter-optimization hyperparameter-search distributed-training PyTorch Tensorflow hyperparameter-tuning Kubernetes 数据科学 mlops Keras

Go 3.11 k

2 天前