苏州大学研究生毕业论文Latex模板 - Overleaf

code for TCL: Vision-Language Pre-Training with Triple Contrastive Learning, CVPR 2022

An up-to-date list of time-series related papers in AI venues.

An Awesome List of the latest time series papers and code from top AI venues.

Comprehensive tools and frameworks for developing foundation models tailored to recommendation systems.

A Unified Python Library for Graph Prompting

[ACM MM'2024]"DiffMM: Multi-Modal Diffusion Model for Recommendation"

结巴中文分词

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

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

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。

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

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

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

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

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Representation learning on large graphs using stochastic graph convolutions.

TuGraph: A High Performance Graph Database.

Inference code for Llama models

Awesome-LLM: a curated list of Large Language Model

Machine Learning and Agentic AI Resources, Practice and Research

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

LaTeX template for USTC thesis

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

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

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

Semi-supervised learning with graph embeddings

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