autokeras
AutoML library
An open-source AutoML system for deep learning based on Keras.
AutoML library for deep learning
9k stars
301 watching
1k forks
Language: Python
last commit: almost 2 years agoLinked from 5 awesome lists
autodlautomated-machine-learningautomldeep-learningkerasmachine-learningneural-architecture-searchpythontensorflow
ethicalml/awesome-production-machine-learning
kelvins/awesome-mlops
hibayesian/awesome-automl-papers
krzjoa/awesome-python-data-science
markusschanta/awesome-kerasRelated projects:
| Repository | Description | Stars |
|---|---|---|
 leriomaggio/deep-learning-keras-tensorflow | A comprehensive tutorial on building and training deep neural networks using Keras and TensorFlow | 2,951 |
 keras-rl/keras-rl | An implementation of state-of-the-art deep reinforcement learning algorithms in Python. | 5,530 |
 fchollet/deep-learning-with-python-notebooks | Companion notebooks implementing code samples from the book on deep learning with Python | 18,820 |
 pku-dair/mindware | An efficient AutoML system that automates the machine learning lifecycle | 53 |
 autogluon/autogluon | Automates machine learning tasks to train accurate models in just a few lines of code | 8,167 |
 danielegrattarola/spektral | A Python library for building graph neural networks with Keras and TensorFlow 2. | 2,372 |
| keras-team/keras | A high-level deep learning framework for building and training neural networks on multiple backend engines | 62,196 |
 gudovskiy/autodo | Develops an automated machine learning framework to improve deep learning model performance on biased and noisy data | 24 |
 datacanvasio/cooka | An automated machine learning toolkit with visualization and feature engineering capabilities | 40 |
 automl/auto-pytorch | An automatic deep learning framework that jointly optimizes network architecture and training hyperparameters. | 2,385 |
 marcbs/keras | An extension of Keras with new functionalities including conversion from Caffe models and support for multimodal data. | 225 |
 osmr/imgclsmob | Research and development of deep learning networks for computer vision tasks | 2,984 |
| automl/auto-sklearn | An automated machine learning toolkit that uses Bayesian optimization and meta-learning to find the best hyperparameters for scikit-learn models. | 7,667 |
 minimaxir/automl-gs | Automates machine learning model creation and optimization for complex datasets | 1,857 |
 pkmital/tensorflow_tutorials | A collection of examples and tutorials illustrating various applications and use cases of TensorFlow in Python | 5,636 |