I am ✨ a software programmer ✨ who is interested in programming and making things happen.
- 🔭 Things that can be discussed with me: machine learning, deep learning, embedded software, Qt programming.
- 📫 How to reach me: [email protected]
Name: ThanhKaist
Type: User
Company: KAIST
Bio: Ph.D. candidate at KAIST, Korea. My research areas: Machine Learning, Computer Vision, and Reinforcement Learning.
Location: Daejeon
I am ✨ a software programmer ✨ who is interested in programming and making things happen.
Small version of RCAN implementation
Active Learning on Image Data using Bayesian ConvNets
Automated PID tuning using Ziegler-Nichols/relay method
The Official Arduino AVR core
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
Classification with backbone Resnet and attentions: SE-Channel Attention, BAM - (Spatial Attention, Channel Attention, Joint Attention), CBAM - (Spatial Attention, Channel Attention, Joint Attention)
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Robot vision calibration
Provide camera calibration and hand eye camera calibration with ROS
CANOpen pid control
CCFDM reinforcement learning
PyTorch Reinforcement Learning Framework for Researchers
Test google colab
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
An offline deep reinforcement learning library
A benchmark for offline reinforcement learning.
A collection of datasets ready to use with TensorFlow
Implementation DDPG (+HER) to solve robot tasks
Keras code and weights files for popular deep learning models.
Docker image with OpenAI Gym, Baselines, MuJoCo and Roboschool, utilizing TensorFlow and JupyterLab.
Deep Learning Architecture Genealogy Project
deep learning: theory + practice
Pick and place robot tasks with Reinforcement learning (DDPG)
Implementations from the free course Deep Reinforcement Learning with Tensorflow
Deep RL docker with convenient scripts
DCL: Dimensional Contrastive Learning
Distributed Tensorflow best practices template using Tensorflow Estimator API
Control Dobot Arm Magician to wrap out any object that it see in its vision
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.