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

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 (p…

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

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

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

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

Command-line program to download videos from YouTube.com and other video sites

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

Graph Neural Network Library for PyTorch

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

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

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

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

Distance Encoding for GNN Design

The PyTorch implementation of LightGCN

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

Position-aware Graph Neural Networks

An awesome README template to jumpstart your projects!

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019