yinhexingxing

yinhexingxing's Stars

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  15.9k3k

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  26.3k2.2k

• gasmichel/PathNNs_expressive

  This repository contains the code to reproduce experiments presented in the paper "Path Neural Networks: Expressive and Accurate Graph Neural Networks" (ICML 2023).

  Language:Python233

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python53.8k5.6k

• keke2014/Watershed

  Implementation of the classic watershed algorithm proposed by Soille and Vincent（1991）

  Language:C175

• eliorc/node2vec

  Implementation of the node2vec algorithm.

  Language:Python1.2k247

• prateekjoshi565/DeepWalk

  Learn Node Embeddings from DeepWalk

  Language:Jupyter Notebook6538

• FighterLYL/GraphNeuralNetwork

  《深入浅出图神经网络：GNN原理解析》配套代码

  Language:Jupyter Notebook1.7k457

• mnielsen/neural-networks-and-deep-learning

  Code samples for my book "Neural Networks and Deep Learning"

  Language:Python15.9k6.5k

• kaieye/2022-Machine-Learning-Specialization

  Language:Jupyter Notebook4.2k1.6k

• PacktPublishing/Learning-OpenCV-4-Computer-Vision-with-Python-Third-Edition

  Learning OpenCV 4 Computer Vision with Python 3 – Third Edition, published by Packt

  Language:Python592253

• QianMo/OpenCV3-Intro-Book-Src

  :blue_book:《OpenCV3编程入门》书本配套源码 |《Introduction to OpenCV3 Programming》Book Source Code

  Language:C++1.8k938