duongnhatthang Goto Github PK
Name: Thang Duong
Type: User
Bio: My research interests lie between Reinforcement Learning (RL) and Transfer Learning.
Location: Hanoi-Vietnam
Name: Thang Duong
Type: User
Bio: My research interests lie between Reinforcement Learning (RL) and Transfer Learning.
Location: Hanoi-Vietnam
Deforming 2d images using ARAP
Fitness app using Google cardboard API
Open-source simulator for autonomous driving research.
Generating training data from the Carla driving simulator in the KITTI dataset format
Powerful and efficient Computer Vision Annotation Tool (CVAT)
deep learning specialization by andrew ng though deeplearning.ai on coursera
DeepMIMO python dataset codes for mmWave and massive MIMO
Test paper: https://arxiv.org/abs/1812.01584
Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.
Distributed TensorFlow basics and examples of training algorithms
Implementation of EfficientNet model. Keras and TF.Keras.
Foundation Models for Data Tasks
ForkGAN: Seeing into the rainy night. ECCV 2020 (oral). A task-agnostic image translation framework that can boost multiple vision tasks in adverse weather conditions, including localization, semantic segmentation and object detection.
A guide on STEM PhD admissions
A Keras implementation of YOLOv3 (Tensorflow backend)
Training and Detecting Objects with YOLO3
Prompt programming with FMs.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Non-stationary Bandits and Meta-Learning with a Small Set of Optimal Arms
Review Meta Reinforcement Learning for Sequential problems related paper.
Models and examples built with TensorFlow
Non Stationary Hierarchical Unimodal Bandit
Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)
Code for computing interpolating / approximating thin plate splines.
Image-to-Image Translation in PyTorch
PyTorch implementations of Generative Adversarial Networks.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Recreate the tutorial from https://www.datacamp.com/community/tutorials/lstm-python-stock-market
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.