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Name: Ko Dae Won
Type: User
Bio: Chungbuk Natianal Univ. Math Major Gwangju Institute of Science and Technology (GIST) Information and Telecommunication Major (Computer Vision)
Location: Daejeon
Name: Ko Dae Won
Type: User
Bio: Chungbuk Natianal Univ. Math Major Gwangju Institute of Science and Technology (GIST) Information and Telecommunication Major (Computer Vision)
Location: Daejeon
Experimental BitNet Implementation
Human 3D Facial Pose Estimation and Tracking (AffCom IJCAI2018)
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
An Invitation to 3D Vision: A Tutorial for Everyone
"6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints" code repository
Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN
Active learning + object detection
Udacity Self-Driving Car Engineer.
WebRTC and ORTC implementation for Python using asyncio
Large Scale Graphical Model
Implementation of ANFIS using the pyTorch framework
Official implementation of AnimateDiff.
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
This is the implementation of Semi-supervised Anomaly Detection using AutoEncoders
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!!
A vision library for genicam based cameras
repository to research & share the machine learning articles
Vulkan bindings for Rust
[CVPR2024][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.
Implementing Attention Augmented Convolutional Networks using Pytorch
Image augmentation library in Python for machine learning.
😎 Awesome lists about all kinds of interesting topics
A curated list of awesome anomaly detection resources
A curated list of awesome resources related to capsule networks
:books: A collection of edge/contour/boundary detection papers and toolbox.
A curated list of awesome Machine Learning frameworks, libraries and software.
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.