lin-shuyu Goto Github PK
Name: Lin
Type: User
Company: University of Oxford
Bio: A PhD student working to decipher the secret recipe of artificial intelligence.
Twitter: ShuyuLin_n
Location: UK
Blog: https://shuyulin.co.uk/
Name: Lin
Type: User
Company: University of Oxford
Bio: A PhD student working to decipher the secret recipe of artificial intelligence.
Twitter: ShuyuLin_n
Location: UK
Blog: https://shuyulin.co.uk/
AttSets in Tensorflow (IJCV 2019)
Bayesian optimization in PyTorch
This repository contains a collection of floor plans where we will carry out experiments. The floor plan contains scale, heading away from North and wifi router positions.
First AIMS mini-project
Just another repository. For get things started practice
In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represent the inferred \textbf{latent data distribution}, i.e. its topology and structural properties. We propose LaDDer to achieve accurate modelling of the latent data distribution in a variational autoencoder framework and to facilitate better representation learning. The central idea of LaDDer is a meta-embedding concept, which uses multiple VAE models to learn an embedding of the embeddings, forming a ladder of encodings. We use a non-parametric mixture as the hyper prior for the innermost VAE and learn all the parameters in a unified variational framework. From extensive experiments, we show that our LaDDer model is able to accurately estimate complex latent distribution and results in improvement in the representation quality.
Models and examples built with TensorFlow
added my WiSE-ALE encoder-decoder architecture to WAE code
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
Wasserstein Auto-Encoders
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.