Stars
Understanding Ethereum: Go-Ethereum Code Analysis｜理解以太坊: Go-Ethereum 源码剖析
🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSy…
Data split, feature extraction with count vectorizer
Zipf's Law, text data visualisation
redefining data-cleaning, preparation for visualisation
data preparation
Data augmentation for NLP, presented at EMNLP 2019
A Better HKUST LaTeX Thesis Template
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Graphormer is a general-purpose deep learning backbone for molecular modeling.
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and survey (Neurocomputing).
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
PyTorch implementation of "Simple and Deep Graph Convolutional Networks"
This repo is to collect the state-of-the-art GNN hardware acceleration paper
[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
Zardinality / dgl
Forked from dmlc/dglPython package built to ease deep learning on graph, on top of existing DL frameworks.
Read premium articles for free with this Bookmarklet
An Industrial Graph Neural Network Framework
Graph Neural Networks for Social Recommendation, WWW'19
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
Materials for DGL hands-on tutorial in WWW 2020
The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)