{"library":"equinox","type":"library","category":null,"description":"Equinox is a Python library that simplifies building and training neural networks and performing scientific computing within JAX. It provides a PyTorch-like class-based API while maintaining compatibility with JAX's functional programming paradigm and its ecosystem. Equinox isn't a framework; instead, it offers tools for filtered transformations and PyTree manipulation, allowing for fine-grained control over models. It is currently at version 0.13.6 and is actively maintained.","language":"python","status":"active","version":"0.13.6","tags":["jax","deep learning","neural networks","machine learning","functional programming","scientific computing"],"last_verified":"Fri May 22","install":[{"cmd":"pip install equinox","imports":["import equinox as eqx","import jax","import jax.nn as jnn","import jax.numpy as jnp","import jax.random as jrandom","from equinox import Module","from equinox.nn import Linear"]}],"homepage":"https://docs.kidger.site/equinox/","github":"https://github.com/patrick-kidger/equinox","docs":null,"changelog":null,"pypi":"https://pypi.org/project/equinox/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":11.9,"avg_import_s":2.76,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/equinox/compatibility"}}