wayexists02
I am a M.S student at Hanyang Univ ERICA in Korea. I am interested in artificial intelligence and machine learning.
Graduate School of Hanyang UniversityAnsan, Korea Republic of.
wayexists02's Stars
JunkyByte/easy_ViTPose
Easy and fast 2d human and animal multi pose estimation using SOTA ViTPose [Y. Xu et al., 2022] Real-time performances and multiple skeletons supported.
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
CompVis/stable-diffusion
A latent text-to-image diffusion model
IntelLabs/bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
hyerica-bdml/tensorflow-2-tutorials
Tensorflow 2.0 tutorials by big data mining lab in Hanyang university ERICA
onnoo/github-wiki-extension
Chrome extension for github wiki page
rosinality/vq-vae-2-pytorch
Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch
ml-tooling/ml-hub
🧰 Multi-user development platform for machine learning teams. Simple to setup within minutes.
matthewvowels1/Awesome-VAEs
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
ml-tooling/ml-workspace
🛠 All-in-one web-based IDE specialized for machine learning and data science.
dbusbridge/gcn_tutorial
A tutorial on Graph Convolutional Neural Networks
EbookFoundation/free-programming-books
:books: Freely available programming books
mdbloice/Augmentor
Image augmentation library in Python for machine learning.
amber0309/Domain-generalization
All about domain generalization
wangsiwei2010/awesome-multi-view-clustering
collections for advanced, novel multi-view clustering methods(papers , codes and datasets)
taeuk-gang/taeuk-gang.github.io
TAEUK-WEB
14hy/hanyang-chatbot
Hanyang-Univ Erica Campus's chatbot project
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
google-deepmind/neural-processes
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
jiachenli94/Awesome-Decision-Making-Reinforcement-Learning
A selection of state-of-the-art research materials on decision making and motion planning.
terryum/awesome-deep-learning-papers
The most cited deep learning papers
memoiry/Awesome-model-compression-and-acceleration
mrgloom/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
SpyderXu/multi-object-tracking-paper-list
Paper list and source code for multi-object-tracking
hoya012/deep_learning_object_detection
A paper list of object detection using deep learning.
willard-yuan/awesome-cbir-papers
📝Awesome and classical image retrieval papers
jdlc105/Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
Papers on Graph neural network(GNN)
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
pgmpy/pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.