shobon latent space using GPLVM

Variational Autoencoders implementation in Keras.

Implemented the Variational AutoEnoder and Decoder

Exploring Latent Space via VAE

Pre-computed latent codes for controlling facial weight in StyleGAN and StyleGAN2 generated or projected images.

TensorFlow implementation of a simple Variational Autoencoder. Includes a simple GUI for exploring the learned latent space.

Source code and supplementary material for DIRAC: Diffusion-Based Representation Learning for Modality-Agnostic Compositionality

Pytorch + HuggingFace Diffusers project that experiments with latent diffusion model by training variational autoencoder (VAE) and a conditional U-Net.

Latent space explorer from a convolutional autoencoder trained on capital letters

Deep Neural Net For Finding Similar Images With Hyperparameter Optimization + AWS And Azure GPU Capabilities

Theoretical analysis code for antigen encoding from cytokine dynamics.

This project was developed during the course Laboratory of Computational Physics

My MSc thesis on Counterfactual Explanations for neural network predictions

This repository contains the codes to see whether a trained decoder can be used to generate new datapoints from an interpolated embedding calulated using an trained encoder

Project repository for brainhack in Rome. Bhils stands for "Brain Hacking In Latent Space".

Uniform Vectorized AutoEncoder : latent vectors distribution is attacked by adversarial model

Fine-tuning classifier NNs with Latent Cluster Correction

This repository contains the code, data and scripts used to write the Bachelor Thesis "Latent representations for traditional music analysis and generation".

Une Expérience de Navigation dans le Latent Space