Pinned Repositories
dgl-lifesci
Python package for graph neural networks in chemistry and biology
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
GNNLens2
Visualization tool for Graph Neural Networks
GraphMaker
code for the paper "GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?"
Asailer_Theory
Resources for the Asailers interested in theory
Berkeley_CS294_fall2017
an attempt to do homework for CS294 using PyTorch
D-VAE
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019
dgl_gat_nodeflow
This is a demo for training GATs on giant graphs with dgl nodeflow.
DL4MolecularGraph
Literature of deep learning for graphs in Chemistry and Biology
GCN_PCBA
mufeili's Repositories
mufeili/awesome-courses
:books: List of awesome university courses for learning Computer Science!
mufeili/Deep_Learning_Exercises
Implementation of Algorithms in Deep Learning in Python
mufeili/Machine_Learning_Coursera
Code for the machine learning course from Coursera
mufeili/minpy
Pure NumPy practice with third-party operator integration
mufeili/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
mufeili/ReinforcementLearning
Reinforcement Learning
mufeili/tensorflow
Computation using data flow graphs for scalable machine learning