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Top 4 Python equinox Projects
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equinox
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
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diffrax
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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optimistix
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
I wrote a JAX-based neural network library (Equinox [1]) and numerical differential equation solving library (Diffrax [2]).
At the time I was just exploring some new research ideas in numerics -- and frankly, procrastinating from writing up my PhD thesis!
But then one of the teams at Google starting using them, so they offered me a job to keep developing them for their needs. Plus I'd get to work in biotech, which was a big interest of mine. This was a clear dream job offer, so I accepted.
Since then both have grown steadily in popularity (~2.6k GitHub stars) and now see pretty widespread use! I've since started writing several other JAX libraries and we now have a bit of an ecosystem going.
[1] https://github.com/patrick-kidger/equinox
Project mention: [P] Optimistix, nonlinear optimisation in JAX+Equinox! | /r/MachineLearning | 2023-10-14Hi everyone! I wanted to advertise my new JAX optimisation library Optimistix!
Python equinox related posts
- [P] Optimistix, nonlinear optimisation in JAX+Equinox!
- Equinox: Elegant easy-to-use neural networks in Jax
- Show HN: Equinox (1.3k stars), a JAX library for neural networks and sciML
- Scientific computing in JAX
- [R] Introduction to Diffusion Models in JAX
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A note from our sponsor - InfluxDB
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Index
What are some of the best open-source equinox projects in Python? This list will help you:
Project | Stars | |
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1 | equinox | 1,809 |
2 | diffrax | 1,230 |
3 | optimistix | 237 |
4 | eqxvision | 95 |
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