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Haeyong Kang's Projects

dowhy icon dowhy

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 icon drama-graph

Drama-Graph repository produces both knowledge base on drama scripts and video graph for Video Turing Test (VTT).

dytox icon dytox

Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022

eagcn icon eagcn

Implementation of Edge Attention based Multi-relational Graph Convolutional Networks

edward icon edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

egsde icon egsde

Official implementation for "EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations" (NIPS 2022)

f-gan-pytorch icon f-gan-pytorch

A pytorch implementation of "f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization"

factorizablenet icon factorizablenet

Factorizable Net (Multi-GPU version): An Efficient Subgraph-based Framework for Scene Graph Generation

factorvae icon factorvae

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

fs-dgpm icon fs-dgpm

Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".

gat icon gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gcn icon gcn

Implementation of Graph Convolutional Networks in TensorFlow

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