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☆71Nov 15, 2025Updated 6 months ago
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆46Jan 11, 2025Updated last year
- A functional training loops library for JAX☆88Feb 13, 2024Updated 2 years ago
- JAX Arrays for human consumption☆111Oct 23, 2025Updated 6 months ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Pytrees + dataclasses ❤️☆75Dec 19, 2025Updated 5 months ago
- JAX + Units☆52Mar 2, 2026Updated 2 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…☆12May 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
- Probabilistic Programming and Nested sampling in JAX☆234May 13, 2026Updated last week
- Add a tqdm progress bar to your JAX scans and loops.☆129May 9, 2025Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Unitful Quantities in JAX☆61Updated this week
- Exponential families for JAX☆77May 14, 2026Updated last week
- JAX port of GalSim, for parallelized, GPU accelerated, and differentiable galaxy image simulations.☆33May 14, 2026Updated last week
- The ✨Magical✨ JAX ML Library.☆18Jan 25, 2025Updated last year
- Matrix-free linear algebra in JAX.☆166Apr 1, 2026Updated last month
- Implementation of Forward Laplacian algorithm in JAX☆99May 6, 2026Updated 2 weeks ago
- 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.☆324May 11, 2026Updated last week
- Gaussian Mixture Models in Jax☆25Jul 14, 2025Updated 10 months ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆525Updated this week
- Gradient-informed particle MCMC methods☆12Jan 29, 2024Updated 2 years ago
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆545Updated this week
- Turn SymPy expressions into trainable JAX expressions.☆369Apr 20, 2026Updated last month
- a differentiable lensing simulator☆10Jan 18, 2022Updated 4 years ago
- Named Tensors for Legible Deep Learning in JAX☆219Nov 8, 2025Updated 6 months ago
- Extending JAX with custom C++ and CUDA code☆403Aug 18, 2024Updated last year
- ☆295May 11, 2026Updated last week
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆580May 13, 2026Updated last week
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆634May 13, 2026Updated last week
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆134May 7, 2026Updated 2 weeks ago
- ☆110Jun 25, 2024Updated last year
- A Wadler–Lindig pretty printer for Python☆46Apr 20, 2026Updated last month
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,040Dec 17, 2025Updated 5 months ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆58Apr 13, 2026Updated last month
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆57May 13, 2026Updated last week