Posts related to my YouTube videos
Variational Graph Autoencoder implemented using Jax & Jraph
Oxford MSc thesis. variational autoencoder combined with graph convolutional networks for learning locally-aware spatial prior distributions
Molecular active learning with JAX
Simplified, reproducible reimplementation of DeepMind's GraphCast weather model using graph neural networks (JAX · Haiku · Jraph). Runs on a single GPU, with honest negative-results reporting and detailed failure-mode analysis of a heavily scaled-down forecasting model.
Reinforcement Learning (RL) environments for a range of graph problems. Written in Jraph.
To associate your repository with the jraph topic, visit your repo's landing page and select "manage topics."