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A Python framework for Automated Machine Learning (AutoML), hyperparameter tunning and program synthesis in general.
automl python machine-learning code
A minimal Automatic Machine Learning (AutoML) solution for tabular datasets based on PyTorch.
automl tabular pytorch tabular-data
An ergonomic machine learning API designed for non-technical users.
automl libra machine-learning code
An open source, low-code machine learning library in Python.
automl pycaret preprocessing code
Otto makes machine learning an intuitive, natural language experience.
automl assistant code neural-networks
Lazy Predict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning.
automl lazypredict regression classification
EvoNorms: Evolving Normalization-Activation Layers
We use evolution to design new layers called EvoNorms, which outperform BatchNorm-ReLU on many tasks.
automl normalization activations activation-layers
Star Clustering
A clustering algorithm that automatically determines the number of clusters and works without hyperparameter fine-tuning.
clustering automl library code
Automated Machine Learning with scikit-learn.
automl scikit-learn library research
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