siyu-li-dream-follower Goto Github PK
Name: Siyu Li
Type: User
Bio: Ph.D. in Computer Science & Informatics, Emory University
Location: Atlanta, Georgia
Name: Siyu Li
Type: User
Bio: Ph.D. in Computer Science & Informatics, Emory University
Location: Atlanta, Georgia
A collection of resources and papers on Diffusion Models
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
Official repo for consistency models.
Denoising Diffusion Implicit Models
Denoising Diffusion Probabilistic Models
Diffusion model papers, survey, and taxonomy
ee569
Differentially Private Diffusion Models
Fashion Compatibility Prediction with Deep Learning
EE660 Machine Learning From Signals (2019Fall)
A self learning autonomous vehicle based on evolutionary algorithm and reinforcement learning
Emory System Programming Course
A simple implementation of Generative Adversarial Imitation Learning with PyTorch
Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (ICML 2022)
The offical implementation of AAAI 2025 paper Geo-Llama
Python implementation of GEO-BLEU, a similarity evaluation method for trajectories
Generative Flow Networks
GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Method and Important Sampling
Must-read papers on graph neural networks (GNN)
Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
白板推导系列课程笔记 初版
Codes for paper in KDD 2020 (AI for COVID-19): Learning to Simulate Human Mobility
Source code to our paper: "Learning a Variational Network for Reconstruction of Accelerated MRI Data"
Noise Conditional Score Networks (NeurIPS 2019, Oral)
The official PyTorch implementation for NCSNv2 (NeurIPS 2020)
深度学习经典、新论文逐段精读
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.