gcucurull / jax-gat
JAX implementation of Graph Attention Networks
☆13Updated 3 years ago
Alternatives and similar repositories for jax-gat:
Users that are interested in jax-gat are comparing it to the libraries listed below
- ☆11Updated 3 years ago
- Unofficially Implements https://arxiv.org/abs/2112.05682 to get Linear Memory Cost on Attention for PyTorch☆12Updated 3 years ago
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 2 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆24Updated 4 years ago
- ☆24Updated 11 months ago
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆16Updated 3 years ago
- Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks☆13Updated 4 years ago
- Source code of "Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning" (AAMAS 2021).☆28Updated 3 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆24Updated 4 years ago
- Implementation of the Remixer Block from the Remixer paper, in Pytorch☆35Updated 3 years ago
- Variational Reinforcement Learning☆16Updated 8 months ago
- ☆21Updated 2 years ago
- AdaCat☆49Updated 2 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆56Updated 2 years ago
- General Invertible Transformations for Flow-based Generative Models☆17Updated 4 years ago
- notebooks of cool EBM visualizations☆15Updated 4 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Updated 2 years ago
- Contact-Aware Symplectic Integrator Network☆13Updated 2 years ago
- Implementation of Tranception, an attention network, paired with retrieval, that is SOTA for protein fitness prediction☆31Updated 2 years ago
- Random feature latent variable models in Python☆22Updated last year
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆17Updated 6 months ago
- Code for An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality (ICLR 2020)☆11Updated 2 years ago
- Implementation of the Triangle Multiplicative module, used in Alphafold2 as an efficient way to mix rows or columns of a 2d feature map, …☆29Updated 3 years ago
- A framework for implementing equivariant DL☆10Updated 3 years ago
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆48Updated 2 years ago
- A simple implementation of a deep linear Pytorch module☆19Updated 4 years ago
- A JAX nn library☆21Updated last month
- Investigate the speed of adaptation of structural causal models☆16Updated 4 years ago
- Official Implementation of "Transferring Inductive Biases Through Knowledge Distillation"☆14Updated 4 years ago