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Name: Yuliang Kang · Michael
Type: User
Bio: Honors Mathematics · Computer Science · Generative Models & Representation Learning · NYU Shanghai
Name: Yuliang Kang · Michael
Type: User
Bio: Honors Mathematics · Computer Science · Generative Models & Representation Learning · NYU Shanghai
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Updating papers I read for my research.
Tamid tech-track project 1
Course repository on computer vision at NYU Shanghai(2024-Spring)
Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
Exploration in time-step noise sampling from diffusion classifier.
code for the paper "DiGress: Discrete Denoising diffusion for graph generation"
PyTorch Implementation of "Scalable Diffusion Models with Transformers"
Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces
Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"
Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
I am passionate about information science. Here I updates interesting papers, books, blogs and some simple codes.
Exploration and generalization of some latent-based models
Latent Diffusion Models, High Resolution
Memory Networks implementations
Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs
Powerful product analytics for data teams, with full control over data & models.
Structured state space sequence models
Notes, thoughts and leads from reading the technical docs of the amazing Sora.
Source code for Twitter's Recommendation Algorithm
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
The official website of UBA@New York University Shanghai
UBA @ NYU Shanghai Official Website
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.