hyperparameter-tuning · GitHub Topics

#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

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

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

skypilot-org / skypilot

#计算机科学#SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 14+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.

Python 7.48 k

2 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

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

scikit-optimize / scikit-optimize

#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

bayesopt optimization scientific-computing 机器学习 hyperparameter bayesian-optimization binder scikit-learn hyperparameter-optimization hyperparameter-tuning hyperparameter-search sequential-recommendation Hacktoberfest scientific-visualization 可视化

Python 2.76 k

1 年前

DLR-RM / rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

rl reinforcement-learning stable-baselines openai gym pybullet hyperparameter-optimization hyperparameter-tuning hyperparameter-search optimization sde Robotics lab deep-reinforcement-learning PyTorch

Python 2.28 k

7 天前

kubeflow / katib

#大语言模型#Automated Machine Learning on Kubernetes

人工智能 automl huggingface hyperparameter-tuning jax kubeflow Kubernetes 大语言模型机器学习 mlops neural-architecture-search PyTorch scikit-learn Tensorflow

Python 1.55 k

22 天前

google / vizier

#算法刷题#Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

vizier hyperparameter-optimization tuning tuning-parameters blackbox-optimization hyperparameter-tuning bayesian-optimization evolutionary-algorithms distributed-systems distributed-computing gRPC Open Source Google 算法深度学习机器学习 optimization

Python 1.54 k

1 个月前

LiYangHart / Hyperparameter-Optimization-of-Machine-Learning-Algorithms

#计算机科学#Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

hyperparameter-optimization 机器学习 hyperparameter-tuning tuning-parameters random-search optimization bayesian-optimization genetic-algorithm particle-swarm-optimization random-forest knn svm 深度学习 artificial-neural-networks

Jupyter Notebook 1.29 k

2 年前

araffin / rl-baselines-zoo

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

rl reinforcement-learning stable-baselines openai-gym openai gym pybullet optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning

Python 1.16 k

2 年前

automl / SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

bayesian-optimization hyperparameter-optimization hyperparameter-tuning hyperparameter-search configuration automl automated-machine-learning random-forest

Python 1.13 k

7 天前

alteryx / evalml

#计算机科学#EvalML is an AutoML library written in python.

翻译 - EvalML是用python编写的AutoML库。

automl 机器学习数据科学 model-selection hyperparameter-tuning optimization feature-engineering feature-selection

Python 806

8 天前

MIND-Lab / OCTIS

#自然语言处理#OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

topic-modeling evaluation-metrics 自然语言处理 bayesian-optimization hyperparameter-optimization hyperparameter-tuning hyperparameter-search topic-models nlproc nlp-library

Python 749

8 个月前

onepanelio / onepanel

The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.

深度学习 pipelines 机器学习 jupyterlab Tensorflow PyTorch tensorboard 机器视觉 mlops workflows aiops annotation hyperparameter-tuning inference training labeling 人工智能 etl

Go 723

2 年前

HunterMcGushion / hyperparameter_hunter

#计算机科学#Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

翻译 - 轻松的超参数优化和跨机器学习算法和库的自动结果保存

人工智能机器学习 hyperparameter-optimization hyperparameter-tuning 神经网络 Keras scikit-learn xgboost lightgbm catboost 深度学习数据科学 Python optimization experimentation feature-engineering

Python 705

4 年前

AgileRL / AgileRL

#计算机科学#Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

reinforcement-learning deep-reinforcement-learning 深度学习 evolutionary-algorithms 机器学习 PyTorch gym Python training mlops hyperparameter-optimization hyperparameter-tuning multi-agent multi-agent-reinforcement-learning automl distributed

Python 689

2 天前

Western-OC2-Lab / AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics

#计算机科学#Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

automated-machine-learning automl concept-drift data-preprocessing data-stream-processing data-streams 深度学习 feature-engineering hyperparameter-tuning intrusion-detection-system Internet of things 机器学习 model-selection

Jupyter Notebook 629

10 个月前

Neuraxio / Neuraxle

#计算机科学#The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spa...

pipeline pipeline-framework 机器学习深度学习框架 python-library hyperparameter-optimization hyperparameter-tuning hyperparameter-search scikit-learn parallel

Python 610

2 年前