vega
AutoML pipeline
An AutoML toolchain with a pipeline of Hyperparameter Optimization, Data Augmentation, Network Architecture Search, Model Compression, and Fully Train capabilities
AutoML tools chain
848 stars
28 watching
177 forks
Language: Python
last commit: about 2 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| Automated machine learning system for selecting promising models or pipelines for new datasets | 82 |
| An efficient AutoML system that automates the machine learning lifecycle | 53 |
| This project develops a pre-trained transformer model for image processing tasks such as denoising, super-resolution, and deraining. | 451 |
| Automated machine learning tool for tabular data pipelines | 343 |
| Automated machine learning with tree search optimization | 16 |
| Automated deep learning algorithm that performs feature engineering, model selection, and hyperparameter tuning without human intervention. | 1,140 |
| A collection of research methods and techniques developed by Huawei to improve the efficiency of neural networks in computer vision and other applications. | 1,218 |
| Automates machine learning model training using pre-set configurations and modular design. | 159 |
| An automated machine learning framework that generates optimal machine learning pipelines for various real-world problems. | 649 |
| An automated machine learning framework that simplifies the development of end-to-end AutoML toolkits in specific domains. | 267 |
| A suite of scripts that perform NLP processing steps tailored to analyze social media text | 5 |
| Automated Machine Learning library for Python | 1,500 |
| A Python-based workflow automation framework that enables easy creation of data processing pipelines | 105 |
| A collection of benchmark problems for hyperparameter optimization | 140 |
| Automated Machine Learning implementation for static and dynamic data analytics with a focus on IoT anomaly detection | 624 |