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100-days-of-ml-code

100-Days-Of-ML-Code中文版

androidutilcode

:fire: Android developers should collect the following utils(updating).

awesome-android-ui

A curated list of awesome Android UI/UX libraries

awesome-gnn-distillation

papers of distilling Graph Neural Network

awesome-gnn-for-recommendation

the papers of applying gnns into recommender system

awesome-graph-ood

sorting the recent papers of graph OOD generalization

cosineannealingwithwarmup

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

dgl_repo

Use DGL to do many tasks(e.g. node classification, link prediction, contrastive learning)

dootmaan

dream.github.io

✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com

engine

Official implementation of paper "Efficient Tuning and Inference for Large Language Models on Textual Graphs"

gcn_demo

A small GCN demo on Cora dataset

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graphcontrol

Official implementation of paper "GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning"

graphsage_demo

pytorch, cora, small demo

gtrans_setting

jigsawpuzzlepytorch

Pytorch implementation of the method from the paper "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles"

leetcode

light-head-rcnn-shufflenet

mario

Official implementation of MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning

mario_demo

Demo for MARIO

os

picbed

product-classification

text classification, fasttext, python

profile

My awesome README.md

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-lighthead

Light-Head R-CNN in PyTorch

resnest-ssg

using resnest as backbone to generate scene graph

rl-small-demo

simple demo of RL, Q-learning