Regularization
Showing 8 of 8 projects
A GPU-accelerated deep learning library for Python using CUDA via PyCUDA, implementing neural networks with various training methods.
A tree ensemble machine learning method that delivers better results than gradient boosted decision trees on many datasets.
A Java port of LIBLINEAR for large-scale regularized linear classification, regression, and outlier detection.
A Python package built on JAX for solving inverse problems in scientific imaging using optimization and prior models.
A Julia wrapper for fitting Lasso and ElasticNet GLM models using the glmnet Fortran library.
A Clojure library for building and training neural networks with support for various architectures and learning algorithms.
A Julia package implementing online mini-batch learning algorithms for predictive modeling with GLMs and SVMs.
A Julia package for regularized linear and quadratic discriminant analysis (LDA/QDA) classification.
Related Tags
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.