Alternatives and similar repositories for jaxga

Users that are interested in jaxga are comparing it to the libraries listed below

• EelcoHoogendoorn / numga
  Geometric algebra in JAX and numpy
  ☆81Updated 3 months ago
• danieljtait / jax_xla_adventures
  Dive into Jax, Flax, XLA and C++
  ☆31Updated 5 years ago
• rdyro / torch2jax
  Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.
  ☆54Updated 2 months ago
• RobinKa / tfga
  Python package for Geometric / Clifford Algebra with TensorFlow
  ☆52Updated 2 years ago
• Prograf-UFF / TbGAL
  TbGAL: Tensor-Based Geometric Algebra Library
  ☆27Updated 3 years ago
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆45Updated 4 years ago
• google-deepmind / einshape
  ☆104Updated last year
• cgarciae / einop
  ☆60Updated 3 years ago
• brentyi / jax_dataclasses
  Pytrees + dataclasses ❤️
  ☆63Updated 2 months ago
• SymJAX / SymJAX
  Documentation:
  ☆120Updated 2 years ago
• ericjang / pt-jax
  Path Tracing in JAX
  ☆71Updated 5 years ago
• tBuLi / kingdon
  A symbolically optimized Geometric Algebra library with PyTorch/NumPy/SymPy/etc. compatibility and ganja.js visualization.
  ☆88Updated last week
• mhlr / awesome-jax
  List of awesome JAX resources
  ☆13Updated 2 years ago
• cgarciae / ciclo
  A functional training loops library for JAX
  ☆88Updated last year
• google-deepmind / synjax
  ☆247Updated 2 weeks ago
• normal-computing / thermox
  Exact OU processes with JAX
  ☆48Updated 3 months ago
• patrick-kidger / patdb
  A snappy + easy + pretty TUI debugger for Python.
  ☆48Updated last month
• ExpectationMax / sklearn-jax-kernels
  Composable kernels for scikit-learn implemented in JAX.
  ☆43Updated 4 years ago
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated 2 years ago
• uzulim / hades
  Fast singularity detection with kernel
  ☆33Updated last year
• vicariousinc / PGMax
  Loopy belief propagation for factor graphs on discrete variables, in JAX!
  ☆65Updated 9 months ago
• leonard-gleyzer / connex
  Fine-grained, dynamic control of neural network topology in JAX.
  ☆21Updated last year
• bhoov / energy-transformer-jax
  The Energy Transformer block, in JAX
  ☆57Updated last year
• probsys / sppl
  Probabilistic programming system for fast and exact symbolic inference
  ☆80Updated last year
• IDSIA / modern-srwm
  Official repository for the paper "A Modern Self-Referential Weight Matrix That Learns to Modify Itself" (ICML 2022 & NeurIPS 2021 Deep R…
  ☆173Updated last month
• yuanqing-wang / galax
  Graph Learning with JAX
  ☆14Updated 3 years ago
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆43Updated last year
• NeilGirdhar / efax
  Exponential families for JAX
  ☆72Updated 3 weeks ago
• COR-OPT / SuperPolyak.py
  Pytorch implementation of SuperPolyak subgradient method.
  ☆43Updated 2 years ago
• Zymrael / torchSODE
  PyTorch block-diagonal ODE CUDA solver, designed for gradient-based optimization
  ☆16Updated 5 years ago