ihaeyong Goto Github PK
Name: Haeyong Kang
Type: User
Company: School of Electrical Engineering, KAIST
Name: Haeyong Kang
Type: User
Company: School of Electrical Engineering, KAIST
PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution
A hybrid neural representation for videos
(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
Code for the Paper "Restricting the Flow: Information Bottlenecks for Attribution"
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
The 'ImageNet training in PyTorch' tutorial, customized
Praktikum: Deep Learning in Real World 2017 - Importance Weighted Autoencoder
Simple Importance Weighted Autoencoders (IWAE) implementation in Pytorch
Tensorflow implementation of Importance Weighted Auto Encoder
Joint distribution optimal transportation for domain adaptation
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
Several knowledge graph representation algorithms implemented with pytorch
비지도학습 방법으로 한국어 텍스트에서 단어/키워드를 자동으로 추출하는 라이브러리입니다
Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)
Codebase for Learning Invariances in Neural Networks
Oxford Deep NLP 2017 course
Lifelong Learning with Dynamically Expandable Networks
[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.
The official implementation of the NeurIPS'2023 work Loss Decoupling for Task-Agnostic Continual Learning
Slides and lecture notes for the course 'machine learning I' taught at the Graduate School Neural Information Processing in Tuebingen.
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
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.