Web Application ASP.NET 9 using Clean Architecture, DDD, CQRS, Event Sourcing and a lot of good practices
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Updated
Apr 14, 2026 - C#
Web Application ASP.NET 9 using Clean Architecture, DDD, CQRS, Event Sourcing and a lot of good practices
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
Efficient Differentiable n-d PDE Solvers in JAX.
.NET event stream projection and scheduling platform with CosmosDB, DynamoDB, EventStoreDB, MemoryStore, message-db, Equinox and Kafka integrations
Multiple dispatch over abstract array types in JAX.
Example app and service templates `dotnet new -i Equinox.Templates; dotnet new eqx*/pro*` https://github.com/jet/equinox https://github.com/jet/FsCodec
Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch
Discretax is a light weight collection of state space models implemented in JAX ⚡️
An implementation of ESM2 in Equinox+JAX
Neural Emulator Architectures in JAX.
Score-based Diffusion models in JAX.
[PSRM 2025] LinkOrgs: An R package for linking linking records on organizations using half a billion open-collaborated records from LinkedIn
A flexible, fast and scalable python library for Self-Organizing Maps
FGPT is an AST-based transpiler that converts production scientific Fortran into NumPy Python and optional JAX/Equinox modules for GPU acceleration and automatic differentiation. It also supports OpenACC GPU porting and Tapenade AD integration at the Fortran level.
Modular Physics-ML Components in JAX
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