elixir-nx/scholar
Traditional machine learning on top of Nx
What it solves
Scholar provides a set of traditional machine learning tools for the Elixir ecosystem, filling the gap for non-deep learning algorithms that can run on numerical tensors.
Related
- Project
elixir-nx/nxA numerical computing library for Elixir that provides multi-dimensional arrays and high-performance backends like XLA and LibTorch for machine learning.
- Project
elixir-nx/axonA neural network framework for Elixir that provides high-level APIs for model creation and training, powered by Nx for numerical acceleration.
- Project
asyml/texarTexar is a modular toolkit for NLP and text generation that provides easy-to-use ML modules and pre-trained models for fast prototyping and experimentation.
- Project
uncomplicate/deep-diamondA Clojure library for fast tensor and neural network computations that leverages optimized native libraries for CPU and GPU acceleration.
- Project
elixir-nx/bumblebeeA library for Elixir that provides pre-trained neural network models and Hugging Face Hub integration, enabling developers to run ML tasks with minimal code.