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
- ☆24Updated 10 months ago
- Source code of "Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning" (AAMAS 2021).☆27Updated 3 years ago
- Graph Convolutional Networks in JAX☆32Updated 4 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆35Updated 3 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆24Updated 4 years ago
- Unofficially Implements https://arxiv.org/abs/2112.05682 to get Linear Memory Cost on Attention for PyTorch☆12Updated 3 years 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
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆48Updated last year
- 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 3 years ago
- notebooks of cool EBM visualizations☆15Updated 4 years ago
- ☆21Updated last year
- Variational Reinforcement Learning☆16Updated 7 months ago
- The Shape of Data: Intrinsic Distance for Comparing Data Distributions☆12Updated 5 years ago
- ☆29Updated 3 years ago
- A framework for implementing equivariant DL☆10Updated 3 years ago
- Automatically generate simple meta-learning tasks from a very large space☆15Updated last year
- The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.☆20Updated last year
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆17Updated 5 months ago
- The implementation of "The Kanerva Machine" with Pytorch and Pyro☆12Updated 6 years ago
- Deterministic Decoding for Discrete Data in Variational Autoencoders☆24Updated 4 years ago
- A simple Transformer where the softmax has been replaced with normalization☆19Updated 4 years ago
- Implementation of Tranception, an attention network, paired with retrieval, that is SOTA for protein fitness prediction☆31Updated 2 years ago
- Implementation of the Remixer Block from the Remixer paper, in Pytorch☆35Updated 3 years ago
- NeurIPS 2019 Paper Implementation☆12Updated 2 years ago
- ☆12Updated 3 years ago
- Usable implementation of Mogrifier, a circuit for enhancing LSTMs and potentially other networks, from Deepmind☆17Updated 9 months ago
- Code for An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality (ICLR 2020)☆11Updated last year
- Investigate the speed of adaptation of structural causal models☆16Updated 4 years ago