hyperparameter-optimization

#大语言模型#Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Python 37.52 k

9 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.

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 26.06 k

10 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.

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 14.21 k

1 年前

optuna / optuna

#计算机科学#A hyperparameter optimization framework

Python 机器学习 parallel distributed hyperparameter-optimization

Python 12.11 k

3 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.

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 9.98 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.

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 9.92 k

1 个月前

autogluon / autogluon

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

Python 8.93 k

3 天前

automl / auto-sklearn

Automated Machine Learning with scikit-learn

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

Python 7.86 k

5 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.

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 4.15 k

18 天前

hibayesian / awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

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

4.09 k

1 年前

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 3.76 k

20 天前

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

3.65 k

12 天前

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

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 3.16 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.