kiritohugh Goto Github PK

awesome-db4llm

awesome-dynamic-graph-learning

awesome-efficient-llm

A curated list for Efficient Large Language Models

clrs

coloring-greyscale-images

Coloring black and white images with deep learning.

cuda-sample

CUDA official sample codes

deep_learning_object_detection

A paper list of object detection using deep learning.

deoldify

A Deep Learning based project for colorizing and restoring old images

dg-net

CVPR2019 Joint Discriminative and Generative Learning for Person Re-identification

edgedependentnodelabel

KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphs

fd-gan

Pytorch implementation of feature distilling GAN for person reID. (NIPS18)

ge-spmm

gnnpapers

Must-read papers on graph neural networks (GNN)

hello-world

emmmmmmmm...Beginner

kiritohugh.github.io

kiritohugh.github.io-old

blog

leinaopai

mpi

nation_statistic_crawler

osdi21_ae

Artifact for OSDI'21 GNNAdvisor

pandastable

Table analysis in Tkinter using pandas DataFrames.

pr

pysot

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

python

Python3.6编写的各种大小程序

python_and_dl

course project I

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-lesson-zh

pytorch 包教不包会

rcore-tutorial-v3

v3.5 https://rcore-os.github.io/rCore-Tutorial-Book-v3/index.html

salient_artifact

Artifact evaluation of the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"

slimg

Code for paper "Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining" (KDD 2023)