dleyan

vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

OFA

Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

Awesome-Chinese-LLM

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

Chinese-LLaMA-Alpaca

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

Awesome-Deep-Graph-Clustering

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

DCRN

[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.

Time-LLM

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

NeurIPS2023-One-Fits-All

The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

tugraph-db

TuGraph is a high performance graph database.

llama

Inference code for Llama models

Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

ml-road

Machine Learning Resources, Practice and Research

Awesome-TimeSeries-SpatioTemporal-Diffusion-Model

A survey and paper list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).

ustcthesis

LaTeX template for USTC thesis

DiffAD

Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models, KDD 2023

spin

Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 2022)

grin

Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)

planetoid

Semi-supervised learning with graph embeddings

Revisiting-Semisupervised-Learning-with-graph-embeddings

Dynamic-graph-dataset

Dynamic graph/network dataset for dynamic graph/network embedding/representation

SAT-master-online

This is a Pytorch implementation of our "Learning on Attribute-Missing Graphs".

Spatio-Temporal-Data-Mining-Survey

Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.

CensNet

GCNmf

PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"

awesome-graph-representation-learning

A curated list for awesome graph representation learning resources.

ITR

IJCAI 2022-Initializing Then Refining: A Simple Graph Attribute Imputation Network

pcfi

Confidence-Based Feature Imputation for Graphs with Partially Known Features (ICLR 2023)

LMFlow

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.