Alternatives and similar repositories for jraph

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

• google-deepmind / dm-haiku
  JAX-based neural network library
  ☆3,056Updated last week
• google-deepmind / optax
  Optax is a gradient processing and optimization library for JAX.
  ☆1,932Updated last week
• google-deepmind / chex
  ☆864Updated last week
• google-deepmind / rlax
  ☆1,337Updated 2 months ago
• google / jaxopt
  Hardware accelerated, batchable and differentiable optimizers in JAX.
  ☆979Updated 2 months ago
• google / ml_collections
  ML Collections is a library of Python Collections designed for ML use cases.
  ☆963Updated last week
• pytorch / functorch
  functorch is JAX-like composable function transforms for PyTorch.
  ☆1,432Updated this week
• n2cholas / awesome-jax
  JAX - A curated list of resources https://github.com/google/jax
  ☆1,861Updated 4 months ago
• google-deepmind / xmanager
  A platform for managing machine learning experiments
  ☆859Updated last month
• google-deepmind / distrax
  ☆580Updated last month
• getkeops / keops
  KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
  ☆1,106Updated last week
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,351Updated last year
• google / objax
  ☆770Updated last year
• nnaisense / evotorch
  Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
  ☆1,068Updated 2 weeks ago
• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,506Updated last year
• google-deepmind / clrs
  ☆490Updated 2 months ago
• gordicaleksa / get-started-with-JAX
  The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series o…
  ☆741Updated last year
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆614Updated this week
• patrick-kidger / equinox
  Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
  ☆2,418Updated this week
• google / evojax
  ☆901Updated last year
• patrick-kidger / torchtyping
  Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
  ☆1,433Updated 2 months ago
• jax-md / jax-md
  Differentiable, Hardware Accelerated, Molecular Dynamics
  ☆1,276Updated 7 months ago
• GFNOrg / gflownet
  Generative Flow Networks
  ☆641Updated 2 years ago
• snap-stanford / deepsnap
  Python library assists deep learning on graphs
  ☆558Updated last year
• rusty1s / pytorch_sparse
  PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
  ☆1,075Updated last month
• google / learned_optimization
  ☆780Updated last month
• google-research / torchsde
  Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
  ☆1,660Updated 6 months ago
• ml-jku / hopfield-layers
  Hopfield Networks is All You Need
  ☆1,820Updated 2 years ago
• tensorflow / gnn
  TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
  ☆1,463Updated this week
• poets-ai / elegy
  A High Level API for Deep Learning in JAX
  ☆475Updated 2 years ago