A dead simple Python package for creating custom JAX pytree objects
☆66Nov 14, 2024Updated last year
Alternatives and similar repositories for simple-pytree
Users that are interested in simple-pytree are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Mathematical operations for JAX pytrees☆210Dec 5, 2024Updated last year
- Stencil computations in JAX☆72Nov 15, 2025Updated 7 months ago
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆47Jan 11, 2025Updated last year
- A functional training loops library for JAX☆88Feb 13, 2024Updated 2 years ago
- JAX Arrays for human consumption☆112Oct 23, 2025Updated 8 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Pytrees + dataclasses ❤️☆75Dec 19, 2025Updated 6 months ago
- JAX + Units☆54Mar 2, 2026Updated 3 months ago
- Batched routines (BLAS, LAPACK, etc.) for multi-dimensional arrays☆12Apr 10, 2022Updated 4 years ago
- Tools for JAX☆50Updated this week
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆14May 8, 2023Updated 3 years ago
- A Pytree Module system for Deep Learning in JAX☆212Feb 26, 2023Updated 3 years ago
- Use numba-compiled kernels from within Jax☆32May 1, 2025Updated last year
- Add a tqdm progress bar to your JAX scans and loops.☆131May 22, 2026Updated last month
- Probabilistic Programming and Nested sampling in JAX☆241May 13, 2026Updated last month
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Exponential families for JAX☆77Updated this week
- Unitful Quantities in JAX☆64Jun 18, 2026Updated last week
- JAX port of GalSim, for parallelized, GPU accelerated, and differentiable galaxy image simulations.☆33Updated this week
- The ✨Magical✨ JAX ML Library.☆18Jan 25, 2025Updated last year
- Matrix-free linear algebra in JAX.☆174Jun 23, 2026Updated last week
- Implementation of Forward Laplacian algorithm in JAX☆100Updated this week
- A small library for creating and manipulating custom JAX Pytree classes☆56Feb 26, 2023Updated 3 years ago
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆327Updated this week
- Gaussian Mixture Models in Jax☆25Jul 14, 2025Updated 11 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆529Jun 18, 2026Updated last week
- Gradient-informed particle MCMC methods☆12Jan 29, 2024Updated 2 years ago
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆558Updated this week
- Turn SymPy expressions into trainable JAX expressions.☆369Apr 20, 2026Updated 2 months ago
- a differentiable lensing simulator☆11Jan 18, 2022Updated 4 years ago
- Named Tensors for Legible Deep Learning in JAX☆223Nov 8, 2025Updated 7 months ago
- Extending JAX with custom C++ and CUDA code☆403Aug 18, 2024Updated last year
- ☆303Updated this week
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆598May 13, 2026Updated last month
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆640Jun 12, 2026Updated 2 weeks ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆134May 7, 2026Updated last month
- ☆110Jun 25, 2024Updated 2 years ago
- A Wadler–Lindig pretty printer for Python☆48Apr 20, 2026Updated 2 months ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,047Jun 4, 2026Updated 3 weeks ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆62Jun 22, 2026Updated last week
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆59Apr 13, 2026Updated 2 months ago