A New, Interactive Approach to Learning Data Science
Continual Hyperparameter Selection Framework. Compares 11 state-of-the-a...
Population Based Training (in PyTorch with sqlite3). Status: Unsupported
Milano is a tool for automating hyper-parameters search for your models ...
AutoML frAmework for Neural Networks
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dat...
Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch...
Distribution transparent Machine Learning experiments on Apache Spark
Hyperparameter tuning for machine learning models using a distributed ge...
Generalized and Efficient Blackbox Optimization System.
Black box hyperparameter optimization made easy.
A scikit-learn compatible implementation of hyperband
Purely functional genetic algorithms for multi-objective optimisation
Primitives for machine learning and data science.
GANs for Time series analysis (Synthetic data generation, anomaly detect...