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
Code used in blog post about dimensionality reduction using Python
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
Latent space competing risk model for response and response time analysis
Implementation of VAE (Variational Autoencoder) applied to the dataset fashion MNIST
Variational Auto-Encoder of using Audio Sample Spectograms
TensorFlow implementation of a simple Variational Autoencoder. Includes a simple GUI for exploring the learned latent space.
Pipeline Consisting of LSTM + Variational and Transformer Based Autoencoders + PCA/UMAP (Parameterized and Non-Parameterized) For Generating Low-Dim Manifold Representation of V1 Neural Activity
Experiments with Variational Autoencoder (VAE)
Supplementary material for the paper "Lightweight Multitask Learning for Robust JND Prediction using Latent Space and Reconstructed Frames", IEEE TCSVT, 2024.
Large-scale Dynamic Models of Complex Networks
Variational Autoencoders implementation in Keras.
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