auto_ml
Auto ML library
Automated machine learning for production and analytics
[UNMAINTAINED] Automated machine learning for analytics & production
2k stars
98 watching
310 forks
Language: Python
last commit: about 4 years ago
Linked from 2 awesome lists
analyticsartificial-intelligenceautomated-machine-learningautomldata-sciencedeep-learningdeeplearningfeature-engineeringgradient-boostinghyperparameter-optimizationkeraslightgbmmachine-learningmachine-learning-librarymachine-learning-pipelinesproduction-readypythonscikit-learntensorflowxgboost
Related projects:
Repository | Description | Stars |
---|---|---|
| Automated Machine Learning library for Python | 1,500 |
| Automates machine learning model creation and optimization for complex datasets | 1,857 |
| Automatically builds multiple machine learning models using a single line of code. | 526 |
| Automates machine learning model training using pre-set configurations and modular design. | 159 |
| Automated Machine Learning implementation for static and dynamic data analytics with a focus on IoT anomaly detection | 624 |
| An autoML framework for building and analyzing trading systems and sports betting models using machine learning algorithms. | 1,170 |
| Automates machine learning task selection and model training using R's mlr3 framework | 25 |
| Automated machine learning with tree search optimization | 16 |
| An autoML framework for machine learning on graphs, enabling researchers and developers to automate the process of building and training neural networks on graph data. | 1,094 |
| Automated data search and enrichment tool for machine learning pipelines | 321 |
| Automated machine learning protocols for cheminformatics using Python | 39 |
| Automated deep learning algorithm that performs feature engineering, model selection, and hyperparameter tuning without human intervention. | 1,140 |
| An efficient AutoML system that automates the machine learning lifecycle | 53 |
| A machine learning library built on top of Apache Spark for scalable and flexible regression modeling | 793 |
| Research on integrating machine learning with emergent runtimes to improve performance and security. | 22 |