Instruct-tune LLaMA on consumer hardware

Official implementation for "UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction" (KDD 2024)

[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

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

[NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framework with diffusion model on graphs.

[ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification

This repo contains the codes and data for our submitted Nature Communications paper under review: Deep learning resilience inference for complex networked systems.

Simple and Fast State-of-Art Implementation of Influence Maximization Problem

Best Practices on Recommendation Systems

The implement of Independent Cascade Model, with different seeds selection algorithms.

Code of NeurIPS paper: arxiv.org/abs/2302.08224

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"

LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection

清华大学学位论文Word模板。A Word thesis template for Tsinghua University.

A collection of resources and papers on Diffusion Models

LaTeX Thesis Template for Tsinghua University

Official implementation for the paper "A Cheaper and Better Diffusion Language Model with Soft-Masked Noise"

Implementation of Classifier Free Guidance in Pytorch, with emphasis on text conditioning, and flexibility to include multiple text embedding models

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Diffusion-LM

Release for Improved Denoising Diffusion Probabilistic Models

Codes for WWW'18 Paper-DeepMove: Predicting Human Mobility with Attentional Recurrent Network