elixir-nx/axon
Nx-powered Neural Networks observed · 2026-10-13
Health v2 · maintenance only
89/100
- Activity 98
- Release rhythm 72
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 155.0
- age_days: 2094
- days_rel: 29
- days_push: 12
- n_releases_24m: 3
Adoption not part of the score
1692 stars · 131 forks observed · 2026-10-13
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Axon is a neural network library for Elixir built on top of Nx numerical definitions. It provides a functional API, a high-level model creation API, and a PyTorch Ignite-inspired training API, all composable and compilable via Nx backends.
Use cases
- build and train neural networks in Elixir
- define deep learning models with a high-level API
- train models with custom loss functions and optimizers
- export models to ONNX or TensorFlow Lite
- compose custom numerical definitions with standard layers
- accelerate training with Nx compilers and backends
When to avoid
- you need a mature ecosystem of pretrained models like PyTorch or TensorFlow
- you require GPU tooling and community support beyond the Nx ecosystem
- you want a framework with extensive production deployment tooling
Facets
library · maturity active
deep-learning machine-learning llm-training deep-learning machine-learning artificial-intelligence elixir jvm-scripting neural-networks nx elixir optimizers jit-compilation onnx-export
1 source
- readme: https://github.com/elixir-nx/axon · fetched 2026-10-13 · 1804db2fcd8a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| elixir-nx/axon | main | 89 |
For agents
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem