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Computational framework for reinforcement learning in traffic control
Factoried Neural Relational Inference for Multi-Interacting Systems
Time Series Forecasting Best Practices & Examples
Celluar Automata Model for Forest Fire Propagation, Utilizing Shortest Path Algorithms for Fire Paths
Tool for auto filling html forms
Corporate response to the 2020 #BlackLivesMatter protests on Twitter
This paper illustrates an introduction to Fourier transform and its application to engineering fields, including an application to time-frequency analysis and feature extraction. This paper demonstrates the denoising ability of Fourier transform through an application in detecting a marble’s location inside a dog’s intestine through ultrasound data (fake data).
Implementation of the model proposed in Few-Shot Time-Series Anomaly Detection with Unsupervised Domain Adaptation
few shot learning (MAML) for time series prediction
An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.
An extended Kalman Filter implementation in Python for fusing lidar and radar sensor measurements
Simple implementation of the distributed cognitive maps for environment interpretation. Use artificial data selected / given by user. The input activity mildly influences the belief of the cortically inspired relaxation network. The network dynamics ensures convergence to a stable state in which all quantities are in agreement given the mathematical constraints. Matlab version for easy prototyping and parametrisation.
An unscented Kalman Filter implementation for fusing lidar and radar sensor measurements.
This is a machine learning challenge conducted by C&D Labs and Future Group in association with HackerEarth.
Metadata search service for project Geodata4SwissEDU.
ClusterGAN PyTorch implementation
This is the homework answers of GANs teached by Andrew Ng.
Implementation of Graph Convolutional Networks in TensorFlow
This is the repository for our CIKM 2021 publication: Graph Enhanced Attention Network for Explanable POI Recommendation.
The code base for GEAPR: Graph Enhanced Attention network for explainable POI Recommendation
This work involved compressing latitudes & longitudes data data using the Daubechies wavelet transform. The idea involves in transforming the data into the wavelet domain and storing the numbers at which the coefficient exists. This is known as the key vector. The latitude and longitude data was taken from GeoLife Trajectories dataset made by Microsoft.
Spatial Data Science Course at the University at Buffalo (GEO511)
Case Study 1
Java and JavaScript geohashing code
Converts GeoJSON to vector tiles :scissors: :earth_americas:
Tensorflow Implement of GeoMAN, IJCAI-18
a easy pytorch implement of GeoMAN
CRS aware overlay tools with speed improvements
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.