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
Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"
Keras-based implementation of Relational Graph Convolutional Networks
Implementation of R-GCNs for Relational Link Prediction
RelTR: Relation Transformer for Scene Graph Generation: https://arxiv.org/abs/2201.11460v2
Notes of Reinforcement Learning MOOC by University of Alberta
RNN implementation using only Numpy. Try to learn binary digit addition.
[ICLR2021] Official Pytorch implementation of "When Optimizing f-Divergence is Robust with Label noise"
RoIAlign & crop_and_resize for PyTorch
Code for Supervised Word Mover's Distance (SWMD)
Graph for Scala is intended to provide basic graph functionality seamlessly fitting into the Scala Collection Library. Like the well known members of scala.collection, Graph for Scala is an in-memory graph library aiming at editing and traversing graphs, finding cycles etc. in a user-friendly way.
image scene graph generation benchmark
document classification using LSTM + self attention
Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.
The Pytorch implementation for "Semantic Graph Convolutional Networks for 3D Human Pose Regression" (CVPR 2019).
Code for the ICCV'21 paper "Context-aware Scene Graph Generation with Seq2Seq Transformers"
3D Loss Landscapes of SoftNet (Sparse Subnetwork)
Winning SubNetwork (WSN), Soft-SubNetwork (SoftNet)
A community-driven Emacs distribution - The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!
Submanifold sparse convolutional networks
Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.
A Tensorflow Implementation of Spatial Transformer Networks
Code for ICML 2022 paper "SPDY: Accurate Pruning with Speedup Guarantees"
Pytorch implementation of SphereGAN(Sphere Generative Adversarial Network Based on Geometric Moment Matching)
High quality, fast, modular reference implementation of SSD in PyTorch 1.0
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.