pickmels's repositories
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
blockstack
Open source and community policies, procedures, and other information.
blockstack-browser
The Blockstack Browser
blockstack-core
The reference implementation of Blockstack
concord-bft
Concord byzantine fault tolerant state machine replication library
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
deep-learning-from-scratch
深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》
GNNPapers
Must-read papers on graph neural networks (GNN)
graph_nets
Build Graph Nets in Tensorflow
Learning_CS224w
My approach to CS224w [AT] Stanford 2019 : )
pygcn
Graph Convolutional Networks in PyTorch
Python
最良心的 Python 教程：
pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)