Popular GitHub Repositories for Propagation

Probabilistic language based on pattern matching and constraint propagation, 153 examples

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...

[CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion. Semi-supervised VOS as well!

Minimal and clean examples of machine learning algorithms implemented in Julia

Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019

LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation, ECCV 2020

[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.

TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation

Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.

[CVPR 2020] DPGN: Distribution Propagation Graph Network for Few-shot Learning.

GPstuff - Gaussian process models for Bayesian analysis

Loopy belief propagation for factor graphs on discrete variables in JAX

Mathematics paper recapitulating the calculus behind a neural network and its back propagation

meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)

[ICLR 2023 Spotlight] GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation

Optimize and improve the Label propagation algorithm

PyHGF: A neural network library for predictive coding

The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"