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A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

Expertiza is a web application through which students can submit and peer-review learning objects (articles, code, web sites, etc). The Expertiza project is supported by the National Science Foundation.

  • ruby
  • peer-reviews
  • rails-application
  • students

Demo app for learning observability with Grafana and performance testing with k6.

High-performance Piecewise Geometric Model (PGM) learned index implementation in pure Rust with strict epsilon error guarantees

Learn how Elm, Parcel, Cypress and Netlify work together. Get started with Elm navigation, routes, remote data and decoder.