Code implementation of the detection network capable of dealing with many overlapping spline bodies.
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Updated
Jun 1, 2024 - Python
Code implementation of the detection network capable of dealing with many overlapping spline bodies.
Comparing latent space representations using autoencoders and vision transformers using fMRI data.
A vector database for images, with the possibility to run a similarity search. I implemented this as I needed to make a project with GPT4o vision API
Official pytorch implementation of the paper: "An Edit Friendly DDPM Noise Space: Inversion and Manipulations". CVPR 2024.
Playing wiht Latent Space of VAE with PSO
PyTorch Implementation of Make-An-Audio (ICML'23) with a Text-to-Audio Generative Model
Remaining Useful Life estimation and sensor data generation by VAE and diffusion model on C-MAPSS dataset.
Research logs, notes, and links for Professor Singh's 2023-2024 ERSP project.
ComfyUI extension for advanced manipulation with latent
Space Model framework that allows for maintaining generalizability, and enhances the performance on the downstream task by utilizing task-specific context attribution. It is an external LLM layer, that improves accuracy in classification task for multiple datasets, such as HateXplain, IMDB movies reviews and more.
Supplementary material for the paper "Lightweight Multitask Learning for Robust JND Prediction using Latent Space and Reconstructed Frames", IEEE TCSVT, 2024.
Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
Latent web browser
Source code and supplementary material for DIRAC: Diffusion-Based Representation Learning for Modality-Agnostic Compositionality
Variational Autoencoder
Visualizing the knowledge of Large Language AI models
Project for the course "Deep Learning" - UniTS
A playground for image generation using diffusion models
GANalyzer: Analysis and Manipulation of GANs Latent Space for Controllable Face Synthesis
Code/supplement for the paper "Approaching an unknown communication system by latent space exploration and causal inference"
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