Alternatives and similar repositories for jeometric

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

• ludwigwinkler / JaxLightning
  Running Jax in PyTorch Lightning
  ☆114Updated 11 months ago
• cgarciae / ciclo
  A functional training loops library for JAX
  ☆88Updated last year
• google-deepmind / tf2jax
  ☆118Updated 3 weeks ago
• BirkhoffG / jax-dataloader
  Pytorch-like dataloaders for JAX.
  ☆97Updated 6 months ago
• yobibyte / compressor
  Because we don't have enough time to read everything
  ☆89Updated last year
• cgarciae / nnx
  Neural Networks for JAX
  ☆84Updated last year
• Artur-Galstyan / statedict2pytree
  ☆44Updated last month
• phlippe / jax_trainer
  Lightning-like training API for JAX with Flax
  ☆44Updated 11 months ago
• samuela / torch2jax
  Run PyTorch in JAX. 🤝
  ☆307Updated last month
• emilemathieu / escnn_jax
  Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
  ☆31Updated 2 years ago
• smsharma / minified-generative-models
  Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…
  ☆137Updated last year
• paganpasta / eqxvision
  A Python package of computer vision models for the Equinox ecosystem.
  ☆110Updated last year
• xl0 / lovely-jax
  JAX Arrays for human consumption
  ☆110Updated last month
• kvfrans / jax-flow
  Flow-matching algorithms in JAX
  ☆111Updated last year
• young-geng / scalax
  A simple library for scaling up JAX programs
  ☆144Updated last month
• lucidrains / jax2torch
  Use Jax functions in Pytorch
  ☆258Updated 2 years ago
• patrick-kidger / quax
  Multiple dispatch over abstract array types in JAX.
  ☆136Updated 2 weeks ago
• DavidRuhe / clifford-group-equivariant-neural-networks
  Code used by the "Clifford Group Equivariant Neural Networks" paper.
  ☆88Updated last year
• bb515 / diffusionjax
  diffusionjax is a simple and accessible diffusion models package in JAX
  ☆48Updated 10 months ago
• dlwh / jax_sourceror
  Turn jitted jax functions back into python source code
  ☆22Updated 11 months ago
• KindXiaoming / BIMT
  Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.
  ☆174Updated 2 years ago
• AakashKumarNain / mistral_jax
  This is a port of Mistral-7B model in JAX
  ☆32Updated last year
• bhoov / hamux
  Hierarchical Associative Memory User Experience
  ☆104Updated 3 weeks ago
• cgarciae / einop
  ☆60Updated 3 years ago
• yixiaoer / einshard
  Einsum-like high-level array sharding API for JAX
  ☆34Updated last year
• maxxxzdn / erwin
  Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]
  ☆109Updated last month
• rdyro / torch2jax
  Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.
  ☆58Updated 4 months ago
• jax-ml / bonsai
  Minimal, lightweight JAX implementations of popular models.
  ☆167Updated last week
• LiibanMo / scikit-jax
  Your favourite classical machine learning algos on the GPU/TPU
  ☆20Updated 11 months ago
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆377Updated last month