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Name: Haeyong Kang
Type: User
Company: School of Electrical Engineering, KAIST
Name: Haeyong Kang
Type: User
Company: School of Electrical Engineering, KAIST
Denoising Diffusion Probabilistic Models
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Drama-Graph repository produces both knowledge base on drama scripts and video graph for Video Turing Test (VTT).
Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022
Implementation of Edge Attention based Multi-relational Graph Convolutional Networks
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Official implementation for "EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations" (NIPS 2022)
Code release for Energy-Based Learning for Scene Graph Genertaion
A pytorch implementation of "f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization"
Factorizable Net (Multi-GPU version): An Efficient Subgraph-based Framework for Scene Graph Generation
Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"
Use Fourier transform to learn operators in differential equations.
Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".
Graph Auto-Encoder in PyTorch
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Implementation of Graph Convolutional Networks in TensorFlow
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
:octocat: Don't think about git, just do git
A graph matching library for Python
Gaussian mixture models in PyTorch.
Google Research
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.