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awesome-model-quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

awesome-tips

best-readme-template

An awesome README template to jumpstart your projects!

bit

Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer

co_training_rec_project

comp_4321_project_search_engine

distance-encoding

Distance Encoding for GNN Design

dora

Official implementation of "DoRA: Weight-Decomposed Low-Rank Adaptation"

dora-project-page

This is the project webpage of: DoRA: Weight-Decomposed Low-Rank Adaptation

gpt-gnn

Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

gran

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

javascript_pac_man_game_comp4021

knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

lightgcn-pytorch

The PyTorch implementation of LightGCN

llm-fp4

The official implementation of the EMNLP 2023 paper LLM-FP4

mctaco

Dataset and code for “Going on a vacation” takes longer than “Going for a walk”: A Study of Temporal Commonsense Understanding, EMNLP 2019.

mixgcf

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021

nbasyl.github.io

nonuniform-to-uniform-quantization

Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.

ofq

The official implementation of the ICML 2023 paper OFQ-ViT

p-gnn

Position-aware Graph Neural Networks

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

pytorch_geometric

Graph Neural Network Library for PyTorch

q-vit

The official implementation of the NeurIPS 2022 paper Q-ViT.

reactnet

ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.

save

seal_ogb

An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.

sean_s_work_at_as

My works at Academia Sinica

seantheplug.github.io

smoothquant

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models