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  • 👋 Hi, I’m @wli806
  • 👀 I’m interested in DOTA2
  • 🌱 I’m currently learning Data Science
  • 💞️ I’m looking to collaborate on ...
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wli806's Projects

alphatree-graphic-deep-neural-network icon alphatree-graphic-deep-neural-network

AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有tensorflow caffe官方源码,应用部分含推荐算法和知识图谱

awesome-cheatsheets icon awesome-cheatsheets

超级速查表 - 编程语言、框架和开发工具的速查表,单个文件包含一切你需要知道的东西 :zap:

berkeley-cs61b icon berkeley-cs61b

Learning experience for CS61B (data structure and algorithm). Study hard and have fun!

cs760 icon cs760

Retrieval of Multiple Environmental Parameters from Images with Deep Learning

deeplearning icon deeplearning

Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

flightdelay icon flightdelay

2018年全球程序员大赛参赛作品, 在给定的数据基础上,加上自己采集的飞机、天气等影响因子, 利用svm算法预测航班延误率.

gcn icon gcn

Implementation of Graph Convolutional Networks in TensorFlow

gnns-for-link-prediction icon gnns-for-link-prediction

Some GNNs are implemented using PyG for link prediction tasks, including: GCN, GraphSAGE, GAT, Node2Vec、RGCN、HGT and HAN, which will continue to be updated in the future.

graphgan icon graphgan

A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)

graphneuralnetwork icon graphneuralnetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

housegan icon housegan

House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation

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