gcucurull / jax-gcn

Related projects ⓘ

Alternatives and complementary repositories for jax-gcn

• deepchem / jaxchem
  JAXChem is a JAX-based deep learning library for complex and versatile chemical modeling
  ☆79Updated 4 years ago
• google-deepmind / flows_for_atomic_solids
  ☆48Updated 2 years ago
• risilab / Autobahn
  Repository for Autobahn: Automorphism Based Graph Neural Networks
  ☆29Updated 2 years ago
• noegroup / rigid-flows
  ☆10Updated 11 months ago
• rbondesan / CanonicalFlows
  Canonical normalizing flows
  ☆10Updated 5 years ago
• lucidrains / molecule-attention-transformer
  Pytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules
  ☆58Updated 3 years ago
• gcucurull / jax-gat
  JAX implementation of Graph Attention Networks
  ☆13Updated 2 years ago
• ngruver / lie-deriv
  ☆36Updated 2 years ago
• alexOarga / haiku-geometric
  A collection of graph neural networks implementations in JAX
  ☆31Updated 11 months ago
• necludov / oMCMC
  orbital MCMC
  ☆10Updated 3 years ago
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 3 years ago
• maxxxzdn / jax-geometric
  Implementation of various equivariant models in JAX
  ☆12Updated 7 months ago
• yzhwang / jax-multi-gpu-resnet50-example
  An example showing how to use jax to train resnet50 on multi-node multi-GPU
  ☆20Updated 2 years ago
• janosh / torch-mnf
  Multiplicative Normalizing Flows in PyTorch.
  ☆24Updated last month
• n-gao / pesnet
  Reference implementation of "Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions" (ICLR, 2022) and "Sampling-f…
  ☆28Updated 5 months ago
• senya-ashukha / simple-equivariant-gnn
  A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
  ☆128Updated 2 years ago
• TUM-DAML / synthetic_coordinates
  Synthetic coordinates for GNNs, as proposed in "Directional Message Passing on Molecular Graphs via Synthetic Coordinates" (NeurIPS 2021)
  ☆29Updated last year
• lollcat / se3-augmented-coupling-flows
  SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.
  ☆23Updated 8 months ago
• lucidrains / geometric-vector-perceptron
  Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pyt…
  ☆72Updated 3 years ago
• gerkone / segnn-jax
  Steerable E(3) GNN in jax
  ☆22Updated last year
• willieneis / bayesian-algorithm-execution
  Bayesian algorithm execution (BAX)
  ☆48Updated 3 years ago
• JSC370 / jsc370.github.io
  Course Website
  ☆9Updated 2 years ago
• dimitra-maoutsa / odes_for_sdes
  Deterministic particle dynamics for simulating Fokker-Planck probability flows
  ☆24Updated last year
• li012589 / neuralCT
  Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
  ☆29Updated 4 years ago
• mbilos / stribor
  Library for normalizing flows and neural flows.
  ☆24Updated 2 years ago
• danieljtait / jax_xla_adventures
  Dive into Jax, Flax, XLA and C++
  ☆31Updated 4 years ago
• KarenUllrich / binary-VAE
  A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
  ☆21Updated 4 years ago
• ulissigroup / uncertainty_benchmarking
  Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.
  ☆40Updated 3 years ago
• henrymoss / BOSS
  Bayesian Optimisation for String Spaces
  ☆24Updated 3 years ago
• G-Taxonomy-Workgroup / GTaxoGym
  Taxonomy of Benchmarks in Graph Representation Learning
  ☆18Updated last year