Theoretical analysis code for antigen encoding from cytokine dynamics.
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Updated
May 5, 2023 - Jupyter Notebook
Theoretical analysis code for antigen encoding from cytokine dynamics.
This repository contains the code, data and scripts used to write the Bachelor Thesis "Latent representations for traditional music analysis and generation".
This project was developed during the course Laboratory of Computational Physics
Toy example for a Conditional Variational Autoencoder in Keras. Regresses features from automatically generated images. Useful for learning about the concept.
R package for change-point analysis and latent block structure recovery from network time series data
Code used in blog post about dimensionality reduction using Python
Exploring the use of Adversarial Constrained Autoencoder Interpolation (ACAI) to improve the quality of latent space for 3D human pose representation using the h36m dataset.
Project for the course "Deep Learning" - UniTS
Witchcraft is a toolkit capable of encoding documents of various content types and structure (flat, hierarchical, or series) into searchable latent vector space.
Deep Neural Net For Finding Similar Images With Hyperparameter Optimization + AWS And Azure GPU Capabilities
Medical Image Latent Space Visualization Using VQ-VAE
Multi-Operational Mathematical Derivations in Latent Space
Extension of GANspace: https://github.com/harskish/ganspace
Implementation of VAE (Variational Autoencoder) applied to the dataset fashion MNIST
Variational Auto-Encoder of using Audio Sample Spectograms
In this project, we have implemented the VQ-VAE algorithm on both MNIST and CIFAR10 datasets considering MSELOSS and also NLLLOSE.
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