evalml
AutoML pipeline builder
An AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions.
EvalML is an AutoML library written in python.
785 stars
22 watching
87 forks
Language: Python
last commit: 6 days ago
Linked from 2 awesome lists
automldata-sciencefeature-engineeringfeature-selectionhyperparameter-tuningmachine-learningmodel-selectionoptimization
Related projects:
Repository | Description | Stars |
---|---|---|
axelderomblay/mlbox | Automated Machine Learning library for Python | 1,500 |
thumnlab/autogl | 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. | 1,091 |
pku-dair/mindware | An efficient AutoML system that automates the machine learning lifecycle | 52 |
autoviml/autoviz | Automatically generates insightful visualizations from datasets of any size with minimal code | 1,742 |
evolvinglmms-lab/lmms-eval | Provides an evaluation framework for large multimodal models used in various applications such as natural language processing and computer vision. | 2,115 |
udellgroup/oboe | Automated machine learning system for selecting promising models or pipelines for new datasets | 82 |
sb-ai-lab/lightautoml | A framework for creating machine learning models with minimal code and customization options | 1,224 |
autoviml/auto_viml | Automatically builds multiple machine learning models using a single line of code. | 526 |
datacanvasio/hypernets | An automated machine learning framework to simplify the development of end-to-end AutoML toolkits in specific domains. | 267 |
cloud-cv/evalai | A platform for comparing and evaluating AI and machine learning algorithms at scale | 1,774 |
gudovskiy/autodo | Develops an automated machine learning framework to improve deep learning model performance on biased and noisy data | 24 |
herilalaina/mosaic_ml | Automated machine learning with tree search optimization | 16 |
datacanvasio/cooka | An automated machine learning toolkit with visualization and feature engineering capabilities | 40 |
thumnlab/autogl-light | An AutoML framework for graph machine learning | 11 |
deepwisdom/autodl | Automated deep learning algorithm that performs feature engineering, model selection, and hyperparameter tuning without human intervention. | 1,140 |