|
96 | 96 | * [causalml](https://github.com/uber/causalml) - Uplift modeling and causal inference with machine learning algorithms. <img height="20" src="img/sklearn_big.png" alt="sklearn"> |
97 | 97 |
|
98 | 98 | ### Automated Machine Learning |
99 | | -* [TPOT](https://github.com/rhiever/tpot) - Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. <img height="20" src="img/sklearn_big.png" alt="sklearn"> |
100 | 99 | * [auto-sklearn](https://github.com/automl/auto-sklearn) - An automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator. <img height="20" src="img/sklearn_big.png" alt="sklearn"> |
101 | | -* [MLBox](https://github.com/AxeldeRomblay/MLBox) - A powerful Automated Machine Learning python library. |
102 | | -* [AutoKeras](https://github.com/keras-team/autokeras) - AutoML library for deep learning. |
| 100 | +* [Auto-PyTorch](https://github.com/automl/Auto-PyTorch) - Automatic architecture search and hyperparameter optimization for PyTorch. <imgheight="20"src="img/pytorch_big2.png"alt="PyTorch based/compatible"> |
| 101 | +* [AutoKeras](https://github.com/keras-team/autokeras) - AutoML library for deep learning. <imgheight="20"src="img/keras_big.png"alt="Keras compatible"> |
103 | 102 | * [AutoGluon](https://github.com/awslabs/autogluon) - AutoML for Image, Text, Tabular, Time-Series, and MultiModal Data. |
| 103 | +* [TPOT](https://github.com/rhiever/tpot) - Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. <img height="20" src="img/sklearn_big.png" alt="sklearn"> |
| 104 | +* [MLBox](https://github.com/AxeldeRomblay/MLBox) - A powerful Automated Machine Learning python library. |
104 | 105 |
|
105 | 106 | ### Ensemble Methods |
106 | 107 | * [ML-Ensemble](http://ml-ensemble.com/) - High performance ensemble learning. <img height="20" src="img/sklearn_big.png" alt="sklearn"> |
|
0 commit comments