Hsu1023

Hsu1023's Stars

• Hannibal046/Awesome-LLM

  Awesome-LLM: a curated list of Large Language Model

  18k370241.4k

• dair-ai/ml-visuals

  🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

  13.2k114491.4k

• AutoGPTQ/AutoGPTQ

  An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

  Language:Python4.4k30454467

• qwopqwop200/GPTQ-for-LLaMa

  4 bits quantization of LLaMA using GPTQ

  Language:Python3k42217458

• gordicaleksa/pytorch-GAT

  My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

  Language:Jupyter Notebook2.4k4614326

• mit-han-lab/llm-awq

  [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

  Language:Python2.4k24169184

• snap-stanford/ogb

  Benchmark datasets, data loaders, and evaluators for graph machine learning

  Language:Python1.9k41296397

• RManLuo/Awesome-LLM-KG

  Awesome papers about unifying LLMs and KGs

  1.9k1061142

• ddz16/TSFpaper

  This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

  1.9k6422171

• IST-DASLab/gptq

  Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".

  Language:Python1.9k2948151

• philipperemy/n-beats

  Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

  Language:Python8562243163

• benedekrozemberczki/ClusterGCN

  A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

  Language:Python7852038134

• twjiang/graphSAGE-pytorch

  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

  Language:Python6191022150

• GraphSAINT/GraphSAINT

  [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

  Language:Python46884588

• INK-USC/RE-Net

  Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs (EMNLP 2020)

  Language:Python436107495

• alexfanjn/Graph-Neural-Networks-With-Heterophily

  This repository contains the resources on graph neural network (GNN) considering heterophily.

  2167220

• andylamp/BPlusTree

  An efficient, conscise, and simple implementation of a purely on-disk B+ Tree data structure

  Language:Java166101149

• THUMNLab/awesome-graph-ood

  Papers about out-of-distribution generalization on graphs.

  1511029

• CUAI/Non-Homophily-Large-Scale

  [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods

  Language:Python11451417

• yandex-research/heterophilous-graphs

  A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?

  Language:Python89145

• BorealisAI/de-simple

  Diachronic Embedding for Temporal Knowledge Graph Completion

  Language:Python819718

• facebookresearch/tkbc

  A knowledge base completion method which handles temporal metadata

  Language:Python758520

• GraphPKU/JacobiConv

  How Powerful are Spectral Graph Neural Networks

  Language:Python712311

• shyam196/egc

  "Do We Need Anisotropic Graph Neural Networks?" at ICLR 2022

  Language:Python32213

• tmlr-group/MC-GRA

  [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"

  Language:Python31101

• AndrewZhou924/MC-GRA

  [ICML 2023] On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation

  Language:Python23202

• Hsu1023/THSS-CRACKER

  清华大学软件学院课程攻略 Guidance for courses in School of Software, Tsinghua University

  Language:HTML18103

• yezhen17/THSSDB

  THSS 2020-Spring Database Course Project, a naive database

  Language:Java6301

• heterophily-submit/HeterophilySpecificModels

  Language:Python4103

• wushusuoshuweishu/thu_yuketang_auto_handler

  Language:Python41