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Automatic preprocessing of urban environmental sensor network with tensor factorization
TensorFlow: Advanced Techniques Specialization
This repository contains notebooks from the Coursera specialization TensorFlow: Data and Deployment.
DeepLearning.AI TensorFlow Developer Professional Certificate Specialization
Model Inference with Apache Kafka, Kafka Streams and a TensorFlow model deployed to TF-Serving (Google Cloud ML Engine)
Course material (Jupyter notebooks & Quizzes) for Deeplearning.ai's TensorFlow Developer Professional Certificate
Tensorflow implementation of Neural Process family
The Presentation of Self on a Decentralised Web: A PhD thesis about self-presentation in future online spaces
Danqi Chen's PhD Thesis
Online Parameter Optimization for Spark Streaming
my PhD thesis on Bayesian inference
Brent's PhD thesis.
My PhD thesis
PhD thesis
PhD thesis on "Data summarizations for scalable, robust and privacy-aware learning in high-dimensions", Department of Computer Science & Technology, University of Cambridge
PhD thesis: "Knowledge Graph Construction from Heterogeneous Data Sources exploiting Declarative Mapping Rules"
Undergraduate final thesis: Big Data Analytics on Container Orchestrated Systems
Gaussian filtering and smoothing based parameter estimation in nonlinear models for sequential data
Code & pretrained models of novel deep graph matching methods.
A Cyber-Physical System (CPS) is a mixed system integrated with computation, communication, and physical processes, which takes an important position in the smart city, and there are many challenges in its security issues. In this project, we established a testbed and a mini UI system to verify our CPS threat analysis method and auto anomaly detection algorithm.
Time series classification and clustering code written in Python.
time series forecasting using pytorch,including ANN,RNN,LSTM,GRU and TSR-RNN,experimental code
Implementation of deep learning models for time series in PyTorch.
This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.
IEEE Publication: A Model for Free Blockchain Transactions through Token Locking on Ethereum.
classifying wikipedia articles into a topic tree using nlp and clustering
An implementation of kalman-filters for multivariate time-series in PyTorch
Total War Battle simulator for AI research
Code for IEEE ISBI 2018 publication.
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.