bybrooks

ALAE

[CVPR2020] Adversarial Latent Autoencoders

Compiler

geom-gcn

GNNPapers

Must-read papers on graph neural networks (GNN)

Graph-Transformer

Transformer for Graph Classification (Pytorch and Tensorflow)

langchain

⚡ Building applications with LLMs through composability ⚡

mol-cycle-gan

Mol-CycleGAN - a generative model for molecular optimization

MolGAN-pytorch

Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)

st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

vision

Datasets, Transforms and Models specific to Computer Vision

bybrooks/Graph-Transformer

Transformer for Graph Classification (Pytorch and Tensorflow)

bybrooks/ALAE

[CVPR2020] Adversarial Latent Autoencoders

bybrooks/Compiler

bybrooks/geom-gcn

bybrooks/GNNPapers

Must-read papers on graph neural networks (GNN)

bybrooks/langchain

⚡ Building applications with LLMs through composability ⚡

bybrooks/mol-cycle-gan

Mol-CycleGAN - a generative model for molecular optimization

bybrooks/MolGAN-pytorch

Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)

bybrooks/st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

bybrooks/vision

Datasets, Transforms and Models specific to Computer Vision

bybrooks/ydata-synthetic

Synthetic structured data generators