pytorch-deep-markov-model

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

?️ ?️ ?PyTorch Toolbox for Image Quality Assessment, including PSNR, SSIM, LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

State-of-the-art, simple, fast unbounded / large-scale NeRFs.

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)

[CVPR 2022] FaceFormer: Speech-Driven 3D Facial Animation with Transformers

Stable Diffusion implemented from scratch in PyTorch