Machine Learning for High Energy Physics.
OTHER License
Diego: Data in, IntElliGence Out. A fast framework that supports the rapid construction of automa...
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstract...
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Expl...
The "Python Machine Learning (1st edition)" book code repository and info resource
Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Ka...
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Automated Tool for Optimized Modelling
Sequential model-based optimization with a `scipy.optimize` interface
Some fundamental machine learning and data-analysis techniques are explained through realistic ex...
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Natural Intelligence is still a pretty good idea.
Helper functions for all stages of the machine learning cycle.