Insights into Elixir's Machine Learning Libraries

223
clicks
Insights into Elixir's Machine Learning Libraries
Andrés Alejos discusses the transition into the Elixir Machine Learning (ML) ecosystem and notes the need for educational material on the subject. Despite some confusion around what Nx is, there's a growing interest in Elixir ML. Elixir-Nx is a key organization for Elixir ML. Nx is fundamental, enabling tensor operations and offering binary, EXLA, and Torchx backends. Axon adds deep learning capabilities on top of Nx, while other libraries like Bumblebee offer pretrained transformer models. Scholar brings traditional ML algorithms, Explorer provides dataframe manipulation, and Scidata offers standard datasets. Alejos introduces EXGBoost, his own contribution to Elixir ML, enabling gradient-boosted decision trees. Ortex and Livebook allow running and sharing interactive ML notebooks. Alejos encourages contributions to Elixir's ML ecosystem, assuring that it's not just for experienced Elixir developers.

© HashMerge 2024