High-Performance Symbolic Regression in Python and Julia
APACHE-2.0 License
A Python library for running computationally expensive experiments.
an open-sourced highly automated machine learning Python framework for data-driven geochemistry d...
SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
A Datasette plugin providing an MLOps platform to train, eval and predict machine learning models
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Automated machine learning protocols that start from CSV databases of descriptors or SMILES and p...
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Ka...
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-co...
Hummingbird compiles trained ML models into tensor computation for faster inference.
The "Python Machine Learning (1st edition)" book code repository and info resource
Pandas integration with sklearn
Helper functions for all stages of the machine learning cycle.
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstract...
🛠 All-in-one web-based IDE specialized for machine learning and data science.