Patrick Kidger

@patrickkidger.bsky.social

4766 Followers 646 Following

🚀 Doing something new. Curing uncured diseases. 🧪 antibodies+AI, neural ODEs, open-source JAX ecosystem. 👨‍💻 ex-{Cradle, Google, Oxford}. 📍 Zürich, Switzerland

a selfie of a very handsome fellow
Machine Learning in Structural Biology Join leading researchers at the intersection of machine learning and structural biology and explore cutting-edge advances in predictive modelling and design of biological macromolecules. US, December 7, 2025, Close to San Diego Convention Center EU, December 6/7, 2025, Bella Center, Copenhagen
A snapshot of the top of the GitHub README, describing its features.
A screenshot of the start of the blog post. Entirely text.
This is half tech-demo, half neural network library. Equinox in brief The design goals for Equinox were that it must be: - as minimal as possible, and use no behind-the-scenes magic; - of functional style, working with existing JAX operations like jax.jit without difficulty; - offer a PyTorch-like class-based syntax to build models. Equinox is a library, not a framework. It is not a wrapper around JAX, like many neural network libraries are.
Used by: 1k Contributers: 59