automl-gs
Model builder
Automates machine learning model creation and optimization for complex datasets
Provide an input CSV and a target field to predict, generate a model + code to run it.
2k stars
61 watching
178 forks
Language: Python
last commit: about 5 years ago
Linked from 1 awesome list
automlkerasmachine-learningpythontensorflowxgboost
Related projects:
Repository | Description | Stars |
---|---|---|
autoviml/auto_viml | Automatically builds multiple machine learning models using a single line of code. | 525 |
beastbyteai/falcon | Automates machine learning model training using pre-set configurations and modular design. | 159 |
climbsrocks/auto_ml | Automated machine learning for production and analytics | 1,643 |
herilalaina/mosaic_ml | Automated machine learning with tree search optimization | 16 |
lge-arc-advancedai/auptimizer | Automates model building and deployment process by optimizing hyperparameters and compressing models for edge computing. | 200 |
neuralmagic/sparseml | Enables the creation of smaller neural network models through efficient pruning and quantization techniques | 2,071 |
deepgram/kur | A system for quickly building and applying state-of-the-art deep learning models to new problems | 817 |
jgreenemi/parris | Automates the setup and training of machine learning algorithms on remote servers | 316 |
blobcity/autoai | A Python-based framework for automating the process of finding and training the best-performing machine learning model for regression and classification tasks on numerical data. | 174 |
sb-ai-lab/lightautoml | A framework for creating machine learning models with minimal code and customization options | 1,215 |
a-hanf/mlr3automl | Automates machine learning task selection and model training using R's mlr3 framework | 25 |
pku-dair/mindware | An efficient AutoML system that automates the machine learning lifecycle | 52 |
jvalegre/robert | Automated machine learning protocols for cheminformatics using Python | 38 |
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. | 1,088 |
scottfreellc/alphapy | An autoML framework for building and analyzing trading systems and sports betting models using machine learning algorithms. | 1,160 |