auto-flow / ultraoptLinks
Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。
☆108Updated 3 years ago
Alternatives and similar repositories for ultraopt
Users that are interested in ultraopt are comparing it to the libraries listed below
Sorting:
- PAKDD AutoML challenge 2nd Feature Engineering Part☆71Updated 4 years ago
- [ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用,高效,鲁棒的类别不平衡学习框架☆259Updated last year
- ☆154Updated 5 years ago
- Github开源项目hyperopt系列的中文文档,以及学习教程等☆163Updated 5 years ago
- AutoFlow : Automatic machine learning workflow modeling platform☆68Updated 3 years ago
- mtgbmcode☆176Updated 3 years ago
- (AAAI' 20) A Python Toolbox for Machine Learning Model Combination☆657Updated 2 years ago
- 《机器学习:软件工程方法与实 现》Method and implementation of machine learning software engineering☆186Updated 2 years ago
- Super-Machine-Learning-Revision-Notes☆75Updated 6 years ago
- A python package for feature selection in python☆51Updated 4 years ago
- Code for KDD CUP 2019 Auto-ML track☆21Updated 6 years ago
- A practical feature engineering handbook☆333Updated 5 years ago
- ☆26Updated 7 years ago
- The ts302_team final solution to the KDD CUP 2019 AutoML Track problem.☆15Updated 5 years ago
- [译]tsfresh特征提取工具可提取的特征☆53Updated 5 years ago
- ☆249Updated 4 years ago
- Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy☆414Updated 3 years ago
- Bayesian Optimization and Grid Search for xgboost/lightgbm☆77Updated 8 months ago
- Machine learning competition solutions and tricks | 算法竞赛方案☆60Updated 3 months ago
- PyTorch On Angel, arming PyTorch with a powerful Parameter Server, which enable PyTorch to train very big models.☆168Updated 2 weeks ago
- Build a python version causal inference model for Pcalg☆19Updated 6 years ago
- FOST is a general forecasting tool, which demonstrate our experience and advanced technology in practical forecasting domains, including …☆261Updated 2 years ago
- Model Log 是一款基于 Python3 的轻量级机器学习(Machine Learning)、深度学习(Deep Learning)模型训练评估指标可视化工具,可以记录模型训练过程当中的超参数、Loss、Accuracy、Precision、F1值等,并以曲线图的形…☆147Updated 3 years ago
- This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .☆104Updated 6 years ago
- XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions☆330Updated last year
- 机器学习竞赛信息聚合(Machine learning competition information aggregation)☆132Updated 2 years ago
- Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics☆19Updated 3 years ago
- An automatic machine learning toolkit, including hyper-parameter tuning and feature engineering.☆60Updated 6 years ago
- This list collects learning resource, tools and dataset for time series analysis/time series data mining.☆179Updated 3 years ago
- Ensemble learning related books, papers, videos, and toolboxes☆300Updated 6 years ago