photrek Goto Github PK
Name: Photrek
Type: Organization
Bio: We Enlighten Your Pathway
Blog: https://photrek.io
Name: Photrek
Type: Organization
Bio: We Enlighten Your Pathway
Blog: https://photrek.io
Photrek's Cardano Catalyst Projects
Utilizing Monte Carlo simulations, we aim to unravel the complexities of voting systems. We are particularly interested in the distinction between voters scoring projects without cost versus preferential voting with quadratic costs.
Machine learning algorithms for complex systems leveraging the methods of nonlinear statistical coupling
We present a coupled Variational Auto-Encoder (VAE) method that improves the accuracy and robustness of the probabilistic inferences on represented data. The new method models the dependency between input feature vectors (images) and weighs the outliers with a higher penalty by generalizing the original loss function to the coupled entropy function, using the principles of nonlinear statistical coupling. We evaluate the performance of the coupled VAE model using the MNIST dataset. Compared with the traditional VAE algorithm, the output images generated by the coupled VAE method are clearer and less blurry. The visualization of the input images embedded in 2D latent variable space provides a deeper insight into the structure of new model with coupled loss function: the latent variable has a smaller deviation and the output values are generated by a more compact latent space. We analyze the histograms of probabilities for the input images using the generalized mean metrics, in which increased geometric mean illustrates that the average likelihood of input data is improved. Increases in the -2/3 mean, which is sensitive to outliers, indicates improved robustness. The decisiveness, measured by the arithmetic mean of the likelihoods, is unchanged and -2/3 mean shows that the new model has better robustness.
Estimation methods for heavy-tail distributions
Documentation for setting up Cardano Genesis node (Jormungandr)
Cardano Documentation
Uncertain Knowledge Graphs
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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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.
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Some thing interesting about visualization, use data art
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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.