google-deepmind / jraphLinks
A Graph Neural Network Library in Jax
☆1,462Updated last year
Alternatives and similar repositories for jraph
Users that are interested in jraph are comparing it to the libraries listed below
Sorting:
- ☆923Updated this week
- Optax is a gradient processing and optimization library for JAX.☆2,169Updated this week
- functorch is JAX-like composable function transforms for PyTorch.☆1,436Updated 5 months ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,022Updated last month
- JAX-based neural network library☆3,178Updated last week
- A platform for managing machine learning experiments☆894Updated last month
- ☆618Updated last week
- JAX - A curated list of resources https://github.com/google/jax☆2,032Updated 2 weeks ago
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,155Updated 3 months ago
- ☆1,402Updated last month
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,757Updated this week
- ML Collections is a library of Python Collections designed for ML use cases.☆1,009Updated last week
- Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.☆1,114Updated 2 weeks ago
- Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.☆1,473Updated 9 months ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,552Updated last year
- ☆516Updated 3 weeks ago
- PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations☆1,094Updated 5 months ago
- Differentiable, Hardware Accelerated, Molecular Dynamics☆1,370Updated last week
- ☆775Updated 2 years ago
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,888Updated this week
- Fast and Easy Infinite Neural Networks in Python☆2,370Updated last year
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆698Updated this week
- ☆935Updated last year
- 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…☆776Updated 2 years ago
- A High Level API for Deep Learning in JAX☆476Updated 3 years ago
- TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.☆1,511Updated this week
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,701Updated last year
- ⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.☆965Updated 7 months ago
- Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"☆773Updated 2 years ago
- ☆793Updated last week