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Deep learning with Next POI recommendation 80% accuraccy
Abnormal Events Causal Analysis from Spatio-temporal Human Mobility Network
Actor critic reinforcement learning + motion and task planning under LTL tasks + wireless sensor network routing
Projeto final da disciplina de Processamento Digital de Sinais de Audio de 2019.1
Underactuated double-pendulum (acrobot) on a cart to play with direct optimal control methods
Active Localization of Multiple Targets Using Noisy Relative Measurements
ada-2021-project-pyca created by GitHub Classroom
Source code for AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration
Pytorch Implementation of Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning
This algorithm is based on the paper 'K-Means clustering algorithm Based on Adapative Feature Weighted'
Zhi-Hui Zhan, Jun Zhang, Yun Li and H. Chung, "Adaptive Particle Swarm Optimization", IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), vol. 39, no. 6, pp. 1362-1381, 2009.
Transformer training code for sequential tasks
TensorFlow implementation of Adaptive Attention Span in Transformers (https://arxiv.org/abs/1905.07799)
This is an application exploiting principles of Deep Reinforcement Learning. The Deep Neural Network is trained to approximate the Bellman Equation (Q-Learning).
Adaptive Attention Span for Reinforcement Learning
Various adaptive control implementations (university project)
Various adaptive filter implementations (university project)
Python code for Kernel LMS (KLMS) algorithm with sklearn API. We also implemented neural spike kernels. We also have KLMS and Kernel PCA for neural spike data.
Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"
IEEE TRANSACTIONS ON CYBERNETICS codes for ADFU.
Fast Clustering Using Adaptive Density Peak Detection
Advanced Machine Learning Specialization on Coursera
Unsupervised domain adaptation method for relation extraction
TF-Agents is a library for Reinforcement Learning in TensorFlow
Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)
Learn to create & deploy a deep learning algorithm into a production REST API microservice using Python, Keras, FastAPI, & NoSQL.
LSTM Keras Neural Network to predict ship location using Danish AIS data
System to detect abnormal vessel behavior based on historical AIS data
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.