qiyu3816

qiyu3816's Stars

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook15k1134061.4k

• ShiArthur03/ShiArthur03

  Language:MATLAB10.4k321.4k1.9k

• princeton-nlp/tree-of-thought-llm

  [NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models

  Language:Python4.8k12158444

• PetarV-/GAT

  Graph Attention Networks (https://arxiv.org/abs/1710.10903)

  Language:Python3.2k4576646

• Diego999/pyGAT

  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

  Language:Python2.9k1771691

• tensorflow/lingvo

  Lingvo

  Language:Python2.8k118254445

• alibaba/clusterdata

  cluster data collected from production clusters in Alibaba for cluster management research

  Language:Jupyter Notebook1.6k77178407

• LibCity/Bigscity-LibCity

  LibCity: An Open Library for Urban Spatial-temporal Data Mining

  Language:Python9239124168

• graphdeeplearning/graphtransformer

  Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

  Language:Python8871626137

• google/cluster-data

  Borg cluster traces from Google

  Language:TeX884380187

• wehos/awesome-graph-transformer

  Papers about graph transformers.

  79321572

• sekilab/RoadDamageDetector

  Language:Jupyter Notebook7664947256

• rampasek/GraphGPS

  Recipe for a General, Powerful, Scalable Graph Transformer

  Language:Python6651234120

• AIR-THU/DAIR-V2X

  Language:Python443188765

• Davidham3/STSGCN

  AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting

  Language:Python35061898

• davidtw0320/Resources-Allocation-in-The-Edge-Computing-Environment-Using-Reinforcement-Learning

  Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers

  Language:Python326320101

• tianheyu927/PCGrad

  Code for "Gradient Surgery for Multi-Task Learning"

  Language:Python304172034

• chaitjo/learning-tsp

  Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)

  Language:Jupyter Notebook2094743

• Edward-Sun/DIFUSCO

  Code of NeurIPS paper: arxiv.org/abs/2302.08224

  Language:Python16231337

• ezelikman/STaR

  Code for STaR: Bootstrapping Reasoning With Reasoning (NeurIPS 2022)

  Language:Python1573119

• Spider-scnu/TSP

  Language:C1211920

• mobicom24/RF-Diffusion

  Language:Python11331115

• deepkashiwa20/MegaCRN

  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"

  Language:Python1062816

• Thinklab-SJTU/T2TCO

  [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization

  Language:Python51226

• BNN-UPC/Papers

  A list of our publications.

  501026

• hetianzhang/Edge-DataSet

  Dataset for IoT, Fog and Edge-based experiments

  481011

• huaweicloud/HUAWEICloudPublicDataset

  3340

• Graph-Machine-Learning-Group/taming-local-effects-stgnns

  Official repository for the paper "Taming Local Effects in Graph-based Spatiotemporal Forecasting" (NeurIPS 2023)

  Language:Python16213

• yalavarthivk/GraFITi

  Language:Python8143

• thomasmong/llm-power-scheduling

  Language:Python74